From aeced0193b780f37cccca015612f8b87237c531c Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 8 Apr 2025 18:27:24 +0200
Subject: [PATCH 01/18] Update JSON reference reports to v11

Update analysis report object structure:
- add missing_number for Categorical variables as well
- add sparse_missing_number for both Numerical and Categorical variables
- add number of text features
- add text preparation report
---
 khiops/core/analysis_results.py               |   88 +-
 .../ref_json_reports/Adult.khj                | 2362 +++----
 .../ref_json_reports/AdultEvaluation.khj      |  194 +-
 .../ref_json_reports/Ansi.khj                 |   10 +-
 .../ref_json_reports/AnsiGreek.khj            |   10 +-
 .../ref_json_reports/AnsiLatin.khj            |   10 +-
 .../ref_json_reports/AnsiLatinGreek.khj       |   10 +-
 .../ref_json_reports/AnyChar.khj              |  679 --
 .../Deft2017ChallengeNGrams1000.khj           | 1759 ++++-
 .../ref_json_reports/EmptyDatabase.khj        |    6 +-
 .../ref_json_reports/Greek.khj                |   10 +-
 .../ref_json_reports/Iris2D.khj               | 4897 +++++++-------
 .../ref_json_reports/IrisC.khj                | 1682 ++---
 .../ref_json_reports/IrisG.khj                | 1811 ++---
 .../ref_json_reports/IrisR.khj                | 1675 ++---
 .../ref_json_reports/IrisU.khj                | 2755 +-------
 .../ref_json_reports/IrisU2D.khj              | 5428 +++++++--------
 .../ref_json_reports/LargeSpiral.khj          | 1960 ------
 .../ref_json_reports/Latin.khj                |   10 +-
 .../ref_json_reports/LatinGreek.khj           |   10 +-
 .../MissingDiscretization.khj                 |  209 +-
 .../MissingMODLEqualWidth.khj                 | 2167 +++---
 .../NoBivariateDetailedStats.khj              |    4 +
 .../ref_json_reports/NoPredictorDetails.khj   |    1 +
 .../ref_json_reports/XORRegression.khj        |  109 +-
 .../ref_reports/NoBivariateDetailedStats.txt  |    6 +-
 .../ref_json_reports/Adult.khcj               | 5898 ++++++++---------
 .../ref_json_reports/AdultLegacy.khcj         | 2592 --------
 .../AnsiGreek_Coclustering.khcj               |    2 +-
 .../AnsiLatinGreek_Coclustering.khcj          |    2 +-
 .../AnsiLatin_Coclustering.khcj               |    2 +-
 .../ref_json_reports/Ansi_Coclustering.khcj   |    2 +-
 .../ref_json_reports/Greek_Coclustering.khcj  |    2 +-
 .../ref_json_reports/Iris.khcj                |  598 +-
 .../LatinGreek_Coclustering.khcj              |    2 +-
 .../ref_json_reports/Latin_Coclustering.khcj  |    2 +-
 .../ref_json_reports/MushroomAnnotated.khcj   |  910 +--
 tests/test_core.py                            |   17 +-
 38 files changed, 15887 insertions(+), 22004 deletions(-)
 delete mode 100644 tests/resources/analysis_results/ref_json_reports/AnyChar.khj
 delete mode 100644 tests/resources/analysis_results/ref_json_reports/LargeSpiral.khj
 delete mode 100644 tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 593f7fca..58552821 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -92,8 +92,8 @@ class AnalysisResults(KhiopsJSONObject):
         specified it returns an empty instance.
 
         .. note::
-            See also the `.read_analysis_results_file` function from the core API to
-            obtain an instance of this class from a Khiops JSON file.
+            See also the `.read_analysis_results_file` function to obtain an instance
+            of this class from a Khiops JSON file.
 
     Attributes
     ----------
@@ -157,6 +157,11 @@ def __init__(self, json_data=None):
             self.bivariate_preparation_report = BivariatePreparationReport(
                 json_data["bivariatePreparationReport"]
             )
+        self.text_preparation_report = None
+        if "textPreparationReport" in json_data:
+            self.text_preparation_report = PreparationReport(
+                json_data["textPreparationReport"]
+            )
         self.modeling_report = None
         if "modelingReport" in json_data:
             self.modeling_report = ModelingReport(json_data["modelingReport"])
@@ -185,6 +190,8 @@ def get_reports(self):
         reports = []
         if self.preparation_report is not None:
             reports.append(self.preparation_report)
+        if self.text_preparation_report is not None:
+            reports.append(self.text_preparation_report)
         if self.bivariate_preparation_report is not None:
             reports.append(self.bivariate_preparation_report)
         if self.modeling_report is not None:
@@ -305,6 +312,8 @@ class PreparationReport:
         Name of the variable used to select training instances.
     selection_value : str
         Value of ``selection_variable`` to select training instance.
+    constructed_variable_number : int
+        Number of constructed variables.
     instance_number : int
         Number of training instances.
     learning_task : str
@@ -325,7 +334,10 @@ class PreparationReport:
     target_stats_std_dev : float
         Standard deviation of a numerical target variable.
     target_stats_missing_number : int
-        Number of missing values for a numerical target variable.
+        Number of missing values for a numerical or categorical target variable.
+    target_stats_sparse_missing_number : int
+        Number of missing values for a sparse block of numerical or categorical target
+        variables.
     target_stats_mode : str
         Mode of a categorical target variable.
     target_stats_mode_frequency : int
@@ -338,8 +350,14 @@ class PreparationReport:
         Number of variables analyzed.
     informative_variable_number : int
         *Supervised analysis only:* Number of informative variables.
+    selected_variable_number : int
+        Number of selected variables.
+    native_variable_number : int
+        Number of native variables.
     max_constructed_variables : int
         Maximum number of constructed variable specified for the analysis.
+    max_text_features : int
+        Maximum number of text features specified for the analysis.
     max_trees : int
         Maximum number of constructed trees specified for the analysis.
     max_pairs : int
@@ -396,6 +414,8 @@ def __init__(self, json_data=None):
         self.sampling_mode = json_summary.get("samplingMode", "")
         self.selection_variable = json_summary.get("selectionVariable")
         self.selection_value = json_summary.get("selectionValue")
+        self.constructed_variable_number = json_summary.get("constructedVariables")
+        self.native_variable_number = json_summary.get("nativeVariables")
 
         # Initialize target descriptive stats for supervised tasks
         json_stats = json_summary.get("targetDescriptiveStats", {})
@@ -403,13 +423,14 @@ def __init__(self, json_data=None):
         json_target_values = json_summary.get("targetValues", {})
         self.target_values = json_target_values.get("values")
         self.target_value_frequencies = json_target_values.get("frequencies")
+        self.target_stats_missing_number = json_stats.get("missingNumber")
+        self.target_stats_sparse_missing_number = json_stats.get("sparseMissingNumber")
 
         # Initialize regression only target stats
         self.target_stats_min = json_stats.get("min")
         self.target_stats_max = json_stats.get("max")
         self.target_stats_mean = json_stats.get("mean")
         self.target_stats_std_dev = json_stats.get("stdDev")
-        self.target_stats_missing_number = json_stats.get("missingNumber")
 
         # Initialize classification only target stats
         self.main_target_value = json_summary.get("mainTargetValue")
@@ -419,10 +440,12 @@ def __init__(self, json_data=None):
         # Initialize other summary attributes
         self.evaluated_variable_number = json_summary.get("evaluatedVariables", 0)
         self.informative_variable_number = json_summary.get("informativeVariables", 0)
+        self.selected_variable_number = json_summary.get("selectedVariables")
         json_feature_eng = json_summary.get("featureEngineering", {})
         self.max_constructed_variables = json_feature_eng.get(
             "maxNumberOfConstructedVariables"
         )
+        self.max_text_features = json_feature_eng.get("maxNumberOfTextFeatures")
         self.max_trees = json_feature_eng.get("maxNumberOfTrees")
         self.max_pairs = json_feature_eng.get("maxNumberOfVariablePairs")
         self.discretization = json_summary.get("discretization", "")
@@ -513,6 +536,14 @@ def write_report(self, writer):
         writer.writeln(f"Instances\t{self.instance_number}")
         writer.writeln(f"Learning task\t{self.learning_task}")
 
+        # Write common attributes for classification and regression
+        if self.target_stats_missing_number is not None:
+            writer.writeln(f"\tMissing number\t{self.target_stats_missing_number}")
+        if self.target_stats_sparse_missing_number is not None:
+            writer.writeln(
+                f"\tSparse missing number\t{self.target_stats_sparse_missing_number}"
+            )
+
         # Write classification specific attributes
         if "Classification" in self.learning_task:
             writer.writeln(f"Target variable\t{self.target_variable}")
@@ -536,7 +567,6 @@ def write_report(self, writer):
             writer.writeln(f"\tMax\t{self.target_stats_max}")
             writer.writeln(f"\tMean\t{self.target_stats_mean}")
             writer.writeln(f"\tStd dev\t{self.target_stats_std_dev}")
-            writer.writeln(f"\tMissing number\t{self.target_stats_missing_number}")
         # Write variable preparation summary attributes
         if len(self.variable_types) > 0 and self.instance_number > 0:
             writer.writeln(f"Evaluated variables\t{self.evaluated_variable_number}")
@@ -546,6 +576,10 @@ def write_report(self, writer):
                     "Max number of constructed variables\t"
                     f"{self.max_constructed_variables}"
                 )
+            if self.max_text_features is not None:
+                writer.writeln(
+                    "Max number of text features\t" f"{self.max_text_features}"
+                )
             if self.max_trees is not None:
                 writer.writeln(f"Max number of trees\t{self.max_trees}")
             if self.max_pairs is not None:
@@ -633,6 +667,8 @@ class BivariatePreparationReport:
         Frequencies for each value in ``target_values`` (synchronized lists).
     evaluated_pair_number : int
         Number of variable pairs evaluated.
+    selected_pair_number : int
+        Number of variable pairs selected.
     informative_pair_number : int
         Number of informative variable pairs. A pair is considered informative if its
         level is greater than the sum of its components' levels.
@@ -693,9 +729,12 @@ def __init__(self, json_data=None):
         json_target_values = json_summary.get("targetValues", {})
         self.target_values = json_target_values.get("values")
         self.target_value_frequencies = json_target_values.get("frequencies")
+        self.target_stats_missing_number = json_stats.get("missingNumber")
+        self.target_stats_sparse_missing_number = json_stats.get("sparseMissingNumber")
 
         # Initialize the information of the pair evaluations
         self.evaluated_pair_number = json_summary.get("evaluatedVariablePairs")
+        self.selected_pair_number = json_summary.get("selectedVariablePairs")
         self.informative_pair_number = json_summary.get("informativeVariablePairs")
 
         # Initialize main attributes for all variables
@@ -1458,6 +1497,8 @@ class VariableStatistics:
         Standard deviation of the variable.
     missing_number : int
         Number of missing values of the variable.
+    sparse_missing_number : int
+        Number of sparse missing values of the variable.
     mode : float
         Most common value.
     mode_frequency : int
@@ -1499,13 +1540,14 @@ def __init__(self, json_data=None):
         self.target_part_number = json_data.get("targetParts")
         self.part_number = json_data.get("parts")
         self.value_number = json_data.get("values", 0)
+        self.missing_number = json_data.get("missingNumber")
+        self.sparse_missing_number = json_data.get("sparseMissingNumber")
 
         # Initialize numerical variable attributes
         self.min = json_data.get("min")
         self.max = json_data.get("max")
         self.mean = json_data.get("mean")
         self.std_dev = json_data.get("stdDev")
-        self.missing_number = json_data.get("missingNumber")
 
         # Initialize categorical variable attributes
         self.mode = json_data.get("mode")
@@ -1593,6 +1635,7 @@ def write_report_header_line(self, writer):
         writer.write("Mean\t")
         writer.write("StdDev\t")
         writer.write("Missing number\t")
+        writer.write("Sparse missing number\t")
         writer.write("Mode\t")
         writer.write("Mode frequency\t")
         writer.write("Construction cost\t")
@@ -1639,15 +1682,19 @@ def write_report_line(self, writer):
             writer.write(f"{self.mean}\t")
             writer.write(f"{self.std_dev}\t")
             writer.write(f"{self.missing_number}\t")
+            writer.write(f"{self.sparse_missing_number}\t")
         else:
-            writer.write("\t" * 5)
+            writer.write("\t" * 6)
 
         # Write attributes available only for categorical variables
         if self.type == "Categorical":
+            writer.write(f"{self.missing_number}\t")
+            writer.write(f"{self.sparse_missing_number}\t")
             writer.write(f"{self.mode}\t")
             writer.write(f"{self.mode_frequency}\t")
         else:
-            writer.write("\t\t")
+            writer.write("\t" * 2)
+
         writer.write(f"{self.construction_cost}\t")
 
         # Write preparation cost only for the supervised case
@@ -2465,18 +2512,16 @@ class TrainedPredictor:
 
     Attributes
     ----------
-    type : str
-        Predictor type. Valid values are found in the ``predictor_types`` class
-        attribute. They are:
+    family : str
+        Predictor family name. Valid values are found in the ``predictor_families``
+        class variable. They are:
 
-        - "Selective Naive Bayes"
-        - "MAP Naive Bayes" **Deprecated**
-        - "Naive Bayes"
-        - "Univariate"
+        - "Baseline": for regression only,
+        - "Selective Naive Bayes": in all other cases.
 
-    family : "Classifier" or "Regressor"
-        Predictor family name. Valid values are found in the ``predictor_families``
-        class variable.
+    type : "Classifier" or "Regressor"
+        Predictor type. Valid values are found in the ``predictor_types`` class
+        attribute.
     name : str
         Human readable predictor name.
     variable_number : int
@@ -2487,12 +2532,7 @@ class variable.
     """
 
     predictor_types = ["Classifier", "Regressor"]
-    predictor_families = [
-        "Selective Naive Bayes",
-        "MAP Naive Bayes",
-        "Naive Bayes",
-        "Univariate",
-    ]
+    predictor_families = ["Selective Naive Bayes", "Baseline"]
 
     def __init__(self, json_data=None):
         """See class docstring"""
diff --git a/tests/resources/analysis_results/ref_json_reports/Adult.khj b/tests/resources/analysis_results/ref_json_reports/Adult.khj
index 9b2ea0e8..acd0c79b 100644
--- a/tests/resources/analysis_results/ref_json_reports/Adult.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Adult.khj
@@ -1,1166 +1,1196 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Adult",
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Classification analysis",
-			"targetVariable": "class",
-			"mainTargetValue": "more"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"variables": 13
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate relationship",
-				"variables": 1
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"selectedVariables": [
-					{
-						"preparedName": "Pcapital_gain",
-						"name": "capital_gain",
-						"level": 0.135437,
-						"weight": 0.910187,
-						"importance": 0.351103
-					},
-					{
-						"preparedName": "Pmarital_status",
-						"name": "marital_status",
-						"level": 0.19789,
-						"weight": 0.529327,
-						"importance": 0.323649
-					},
-					{
-						"preparedName": "Prelationship",
-						"name": "relationship",
-						"level": 0.207419,
-						"weight": 0.382355,
-						"importance": 0.281616
-					},
-					{
-						"preparedName": "Page",
-						"name": "age",
-						"level": 0.118138,
-						"weight": 0.572296,
-						"importance": 0.260019
-					},
-					{
-						"preparedName": "Peducation_num",
-						"name": "education_num",
-						"level": 0.114003,
-						"weight": 0.500031,
-						"importance": 0.238757
-					},
-					{
-						"preparedName": "Poccupation",
-						"name": "occupation",
-						"level": 0.0879994,
-						"weight": 0.491241,
-						"importance": 0.207916
-					},
-					{
-						"preparedName": "Pcapital_loss",
-						"name": "capital_loss",
-						"level": 0.0529043,
-						"weight": 0.773468,
-						"importance": 0.202286
-					},
-					{
-						"preparedName": "Phours_per_week",
-						"name": "hours_per_week",
-						"level": 0.0667205,
-						"weight": 0.445343,
-						"importance": 0.172376
-					},
-					{
-						"preparedName": "Peducation",
-						"name": "education",
-						"level": 0.113466,
-						"weight": 0.246124,
-						"importance": 0.167113
-					},
-					{
-						"preparedName": "Prace",
-						"name": "race",
-						"level": 0.0106475,
-						"weight": 0.242218,
-						"importance": 0.050784
-					},
-					{
-						"preparedName": "Pnative_country",
-						"name": "native_country",
-						"level": 0.0063401,
-						"weight": 0.359406,
-						"importance": 0.0477354
-					},
-					{
-						"preparedName": "Pworkclass",
-						"name": "workclass",
-						"level": 0.0206918,
-						"weight": 0.054718,
-						"importance": 0.0336484
-					},
-					{
-						"preparedName": "Psex",
-						"name": "sex",
-						"level": 0.0453622,
-						"weight": 0.00393677,
-						"importance": 0.0133634
-					}
-				]
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Adult",
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 34174,
-			"learningTask": "Classification analysis",
-			"targetVariable": "class",
-			"mainTargetValue": "more"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 0.868526,
-				"compression": 0.490196,
-				"auc": 0.925735
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate relationship",
-				"accuracy": 0.761632,
-				"compression": 0.208972,
-				"auc": 0.779064
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[24638,3103],
-						[1390,5043]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[26028,8146],
-						[0,0]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "relationship",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Husband","Wife"],
-								["Not-in-family"],
-								["Own-child","Other-relative"],
-								["Unmarried"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[8487,6942],
-						[7916,871],
-						[6210,107],
-						[3415,226]
-					],
-					"partInterests": [0.42026,0.144028,0.331951,0.103761]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "less",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.131297,0.262594,0.393891,0.525188,0.656485,0.787782,0.919079,1.05038,1.18167,1.31297,1.44427,1.57556,1.70686,1.83816,1.96946,2.10075,2.23205,2.36335,2.49464,2.62594,2.75724,2.88854,3.01983,3.15113,3.28243,3.41372,3.54502,3.67632,3.80761,3.93891,4.07021,4.20151,4.3328,4.4641,4.5954,4.72669,4.85799,4.98929,5.12059,5.25188,5.38318,5.51448,5.64577,5.77707,5.90837,6.03966,6.17096,6.30226,6.43356,6.56485,6.69615,6.82745,6.95874,7.09004,7.22134,7.35264,7.48393,7.61523,7.74653,7.87782,8.00912,8.14042,8.27172,8.40301,8.53431,8.66561,8.7969,8.9282,9.0595,9.19079,9.32209,9.45339,9.58469,9.71598,9.84728,9.97858,10.1099,10.2412,10.3725,10.5038,10.6351,10.7664,10.8977,11.029,11.1603,11.2915,11.4228,11.5541,11.6854,11.8167,11.948,12.0793,12.2106,12.3419,12.4732,12.6045,12.7358,12.8671,12.9984,13.1297,13.261,13.3923,13.5236,13.6549,13.7862,13.9175,14.0488,14.1801,14.3114,14.4427,14.574,14.7053,14.8366,14.9679,15.0992,15.2305,15.3618,15.4931,15.6244,15.7556,15.8869,16.0182,16.1495,16.2808,16.4121,16.5434,16.6747,16.806,16.9373,17.0686,17.1999,17.3312,17.4625,17.5938,17.7251,17.8564,17.9877,18.119,18.2503,18.3816,18.5129,18.6442,18.7755,18.9068,19.0381,19.1694,19.3007,19.432,19.5633,19.6946,19.8259,19.9572,20.0885,20.2197,20.351,20.4823,20.6136,20.7449,20.8762,21.0075,21.1388,21.2701,21.4014,21.5327,21.664,21.7953,21.9266,22.0579,22.1892,22.3205,22.4518,22.5831,22.7144,22.8457,22.977,23.1083,23.2396,23.3709,23.5022,23.6335,23.7648,23.8961,24.0274,24.1587,24.29,24.4213,24.5526,24.6838,24.8151,24.9464,25.0777,25.209,25.3403,25.4716,25.6029,25.7342,25.8655,25.9968,26.1281,26.2594,26.3907,26.522,26.6533,26.7846,26.9159,27.0472,27.1785,27.3098,27.4411,27.5724,27.7037,27.835,27.9663,28.0976,28.2289,28.3602,28.4915,28.6228,28.7541,28.8854,29.0167,29.1479,29.2792,29.4105,29.5418,29.6731,29.8044,29.9357,30.067,30.1983,30.3296,30.4609,30.5922,30.7235,30.8548,30.9861,31.1174,31.2487,31.38,31.5113,31.6426,31.7739,31.9052,32.0365,32.1678,32.2991,32.4304,32.5617,32.693,32.8243,32.9556,33.0869,33.2182,33.3495,33.4808,33.612,33.7433,33.8746,34.0059,34.1372,34.2685,34.3998,34.5311,34.6624,34.7937,34.925,35.0563,35.1876,35.3189,35.4502,35.5815,35.7128,35.8441,35.9754,36.1067,36.238,36.3693,36.5006,36.6319,36.7632,36.8945,37.0258,37.1571,37.2884,37.4197,37.551,37.6823,37.8136,37.9449,38.0761,38.2074,38.3387,38.47,38.6013,38.7326,38.8639,38.9952,39.1265,39.2578,39.3891,39.5204,39.6517,39.783,39.9143,40.0456,40.1769,40.3082,40.4395,40.5708,40.7021,40.8334,40.9647,41.096,41.2273,41.3586,41.4899,41.6212,41.7525,41.8838,42.0151,42.1464,42.2777,42.409,42.5402,42.6715,42.8028,42.9341,43.0654,43.1967,43.328,43.4593,43.5906,43.7219,43.8532,43.9845,44.1158,44.2471,44.3784,44.5097,44.641,44.7723,44.9036,45.0349,45.1662,45.2975,45.4288,45.5601,45.6914,45.8227,45.954,46.0853,46.2166,46.3479,46.4792,46.6105,46.7418,46.8731,47.0043,47.1356,47.2669,47.3982,47.5295,47.6608,47.7921,47.9234,48.0547,48.186,48.3173,48.4486,48.5799,48.7112,48.8425,48.9738,49.1051,49.2364,49.3677,49.499,49.6303,49.7616,49.8929,50.0242,50.1555,50.2868,50.4181,50.5494,50.6807,50.812,50.9433,51.0746,51.2059,51.3372,51.4684,51.5997,51.731,51.8623,51.9936,52.1249,52.2562,52.3875,52.5188,52.6501,52.7814,52.9127,53.044,53.1753,53.3066,53.4379,53.5692,53.7005,53.8318,53.9631,54.0944,54.2257,54.357,54.4883,54.6196,54.7509,54.8822,55.0135,55.1448,55.2761,55.4074,55.5387,55.67,55.8013,55.9325,56.0638,56.1951,56.3264,56.4577,56.589,56.7203,56.8516,56.9829,57.1142,57.2455,57.3768,57.5081,57.6394,57.7707,57.902,58.0333,58.1646,58.2959,58.4272,58.5585,58.6898,58.8211,58.9524,59.0837,59.215,59.3463,59.4776,59.6089,59.7402,59.8715,60.0028,60.1341,60.2654,60.3966,60.5279,60.6592,60.7905,60.9218,61.0531,61.1844,61.3157,61.447,61.5783,61.7096,61.8409,61.9722,62.1035,62.2348,62.3661,62.4974,62.6287,62.76,62.8913,63.0226,63.1539,63.2852,63.4165,63.5478,63.6791,63.8104,63.9417,64.073,64.2043,64.3356,64.4669,64.5982,64.7295,64.8607,64.992,65.1233,65.2546,65.3859,65.5172,65.6485,65.7798,65.9111,66.0424,66.1737,66.305,66.4363,66.5676,66.6989,66.8302,66.9615,67.0928,67.2241,67.3554,67.4867,67.618,67.7493,67.8806,68.0119,68.1432,68.2745,68.4058,68.5371,68.6684,68.7997,68.931,69.0623,69.1936,69.3249,69.4561,69.5874,69.7187,69.85,69.9813,70.1126,70.2439,70.3752,70.5065,70.6378,70.7691,70.9004,71.0317,71.163,71.2943,71.4256,71.5569,71.6882,71.8195,71.9508,72.0821,72.2134,72.3447,72.476,72.6073,72.7386,72.8699,73.0012,73.1325,73.2638,73.3951,73.5264,73.6577,73.789,73.9202,74.0515,74.1828,74.3141,74.4454,74.5767,74.708,74.8393,74.9706,75.1019,75.2332,75.3645,75.4958,75.6271,75.7584,75.8897,76.021,76.1523,76.2836,76.4149,76.5462,76.6775,76.8088,76.9401,77.0714,77.2027,77.334,77.4653,77.5966,77.7279,77.8592,77.9905,78.1218,78.2531,78.3843,78.5156,78.6469,78.7782,78.9095,79.0408,79.1721,79.3034,79.4347,79.566,79.6973,79.8286,79.9599,80.0912,80.2225,80.3538,80.4851,80.6164,80.7477,80.879,81.0103,81.1416,81.2729,81.4042,81.5355,81.6668,81.7981,81.9294,82.0607,82.192,82.3233,82.4546,82.5859,82.7172,82.8484,82.9797,83.111,83.2423,83.3736,83.5049,83.6362,83.7675,83.8988,84.0301,84.1614,84.2927,84.424,84.5553,84.6866,84.8179,84.9492,85.0805,85.2118,85.3431,85.4744,85.6057,85.737,85.8683,85.9996,86.1309,86.2622,86.3935,86.5248,86.6561,86.7874,86.9187,87.05,87.1813,87.3125,87.4438,87.5751,87.7064,87.8377,87.969,88.1003,88.2316,88.3629,88.4942,88.6255,88.7568,88.8881,89.0194,89.1507,89.282,89.4133,89.5446,89.6759,89.8072,89.9385,90.0698,90.2011,90.3324,90.4637,90.595,90.7263,90.8576,90.9889,91.1202,91.2515,91.3828,91.5141,91.6454,91.7766,91.9079,92.0392,92.1705,92.3018,92.4331,92.5644,92.6957,92.827,92.9583,93.0896,93.2209,93.3522,93.4835,93.6148,93.7461,93.8774,94.0087,94.14,94.2713,94.4026,94.5339,94.6652,94.7965,94.9278,95.0591,95.1904,95.3217,95.453,95.5843,95.7156,95.8469,95.9782,96.1095,96.2407,96.372,96.5033,96.6346,96.7659,96.8972,97.0285,97.1598,97.2911,97.4224,97.5537,97.685,97.8163,97.9476,98.0789,98.2102,98.3415,98.4728,98.6041,98.7354,98.8667,98.998,99.1293,99.2606,99.3919,99.5232,99.6545,99.7858,99.9171,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.131297,0.262594,0.393891,0.525188,0.656485,0.787782,0.919079,1.05038,1.18167,1.31297,1.44427,1.57556,1.70686,1.83816,1.96946,2.10075,2.23205,2.36335,2.49464,2.62594,2.75724,2.88854,3.01983,3.15113,3.28243,3.41372,3.54502,3.67632,3.80761,3.93891,4.07021,4.20151,4.3328,4.4641,4.5954,4.72669,4.85799,4.98929,5.12059,5.25188,5.38318,5.51448,5.64577,5.77707,5.90453,6.03582,6.16712,6.29842,6.42971,6.56101,6.69231,6.82361,6.9549,7.0862,7.2175,7.34879,7.48009,7.61139,7.74268,7.87398,8.00528,8.13658,8.26787,8.39917,8.53047,8.66176,8.79306,8.92436,9.05566,9.18695,9.31825,9.44955,9.58084,9.71214,9.84344,9.97473,10.106,10.2373,10.3686,10.4999,10.6312,10.7625,10.8938,11.0251,11.1564,11.2877,11.419,11.5503,11.6816,11.8129,11.9442,12.0755,12.2068,12.3381,12.4655,12.5968,12.7281,12.8594,12.9907,13.122,13.2533,13.3846,13.5159,13.6472,13.7785,13.9098,14.0411,14.1724,14.3037,14.4312,14.5624,14.6937,14.825,14.9563,15.0876,15.2189,15.3502,15.4815,15.6128,15.7441,15.8754,16.0067,16.138,16.2693,16.4006,16.5319,16.6632,16.7945,16.9258,17.0571,17.1884,17.3197,17.451,17.5823,17.7136,17.8449,17.9762,18.1075,18.2388,18.3701,18.5014,18.6327,18.764,18.8953,19.0265,19.1578,19.2891,19.4204,19.5479,19.6792,19.8105,19.9418,20.0731,20.2044,20.3357,20.467,20.5983,20.7296,20.8609,20.9922,21.1196,21.2509,21.3822,21.5135,21.6448,21.7723,21.9036,22.0349,22.1662,22.2974,22.4287,22.56,22.6913,22.8226,22.9524,23.0814,23.2127,23.344,23.4753,23.6066,23.7379,23.8692,24.0005,24.1318,24.2631,24.3944,24.5257,24.657,24.7883,24.9195,25.047,25.1783,25.3096,25.4409,25.5722,25.7035,25.8348,25.9661,26.0974,26.2287,26.36,26.4913,26.6187,26.75,26.8813,27.0126,27.1439,27.2675,27.3988,27.5301,27.6614,27.7927,27.924,28.0553,28.1866,28.3179,28.4492,28.5805,28.7118,28.8431,28.9705,29.1018,29.2331,29.3606,29.4919,29.6232,29.7545,29.8819,30.0132,30.1445,30.272,30.4033,30.5346,30.6659,30.7972,30.9285,31.0559,31.1872,31.3185,31.4498,31.5773,31.7086,31.8399,31.9712,32.1025,32.2299,32.3612,32.4925,32.6238,32.7551,32.8864,33.0139,33.1452,33.2726,33.4039,33.5352,33.66,33.7901,33.9214,34.0527,34.184,34.3153,34.4466,34.5779,34.7054,34.8328,34.9603,35.0916,35.2229,35.3542,35.4855,35.6168,35.7442,35.8717,36.003,36.1343,36.2656,36.3968,36.5205,36.6518,36.7831,36.9105,37.0418,37.1731,37.3006,37.4319,37.5632,37.6945,37.8257,37.957,38.0883,38.2158,38.3471,38.4784,38.6097,38.741,38.8684,38.9959,39.1272,39.2585,39.3859,39.5134,39.6409,39.7722,39.9035,40.0347,40.166,40.2973,40.4286,40.5561,40.6874,40.8187,40.95,41.0813,41.2126,41.34,41.4713,41.6026,41.7301,41.8614,41.9927,42.1201,42.2514,42.3827,42.514,42.6415,42.7728,42.9002,43.0315,43.159,43.2903,43.4177,43.549,43.6765,43.8039,43.9352,44.0644,44.194,44.3253,44.4566,44.5879,44.7192,44.8505,44.9779,45.1092,45.2405,45.3718,45.5031,45.6306,45.7619,45.8855,46.0168,46.1442,46.2755,46.4068,46.5343,46.6541,46.7854,46.9167,47.0479,47.1792,47.3105,47.4418,47.5727,47.7006,47.8274,47.9517,48.0791,48.2047,48.3263,48.4576,48.5889,48.7202,48.8438,48.9751,49.1064,49.2377,49.369,49.5003,49.6316,49.7552,49.8865,50.014,50.1338,50.2612,50.3887,50.52,50.6474,50.7787,50.91,51.0375,51.1649,51.2924,51.4237,51.5511,51.6786,51.806,51.9258,52.0571,52.1884,52.3159,52.4433,52.5684,52.6944,52.8257,52.957,53.0875,53.2081,53.3393,53.4553,53.575,53.7036,53.83,53.9574,54.079,54.2008,54.3283,54.455,54.5755,54.6991,54.8265,54.954,55.0815,55.2051,55.321,55.4369,55.5567,55.6878,55.8155,55.9467,56.0665,56.1901,56.3137,56.4297,56.5571,56.6846,56.812,56.9318,57.0593,57.1846,57.3103,57.4416,57.5652,57.6965,57.824,57.9515,58.0751,58.1987,58.3184,58.4459,58.5695,58.6868,58.8167,58.9442,59.0548,59.1645,59.2958,59.4233,59.5497,59.6744,59.8018,59.9293,60.0567,60.1842,60.3155,60.4429,60.5665,60.6825,60.8061,60.9182,61.0456,61.1615,61.2852,61.4011,61.5285,61.6522,61.7758,61.9032,62.0241,62.1505,62.2672,62.3862,62.5098,62.618,62.7455,62.8691,62.9889,63.1125,63.2361,63.3597,63.4718,63.5992,63.7192,63.8503,63.974,64.0975,64.2211,64.3524,64.4799,64.5949,64.7156,64.8392,64.9667,65.0946,65.2139,65.3298,65.4457,65.5694,65.6968,65.8281,65.9527,66.0792,66.1989,66.3187,66.45,66.5762,66.6934,66.7978,66.9099,67.0373,67.1543,67.2846,67.4043,67.528,67.6485,67.7675,67.8873,68.0109,68.1216,68.2427,68.3702,68.478,68.5867,68.6911,68.7908,68.8999,69.0197,69.1412,69.2592,69.379,69.4949,69.6147,69.7311,69.8619,69.9627,70.063,70.1751,70.2949,70.407,70.5267,70.6273,70.7279,70.8476,70.9674,71.0795,71.1993,71.319,71.4311,71.5488,71.6707,71.7904,71.8925,72.0108,72.1382,72.2503,72.3643,72.4783,72.5928,72.714,72.8144,72.9267,73.0311,73.1437,73.2629,73.3748,73.4751,73.5909,73.708,73.8252,73.9396,74.0398,74.1596,74.2717,74.3953,74.5113,74.6063,74.7239,74.8437,74.9398,75.064,75.1778,75.2728,75.3811,75.4816,75.5783,75.6854,75.791,75.9052,76.0191,76.1311,76.2294,76.3284,76.4366,76.5564,76.6751,76.7767,76.8773,76.9777,77.0784,77.1899,77.2783,77.3857,77.5018,77.6235,77.7428,77.8558,77.9551,78.0641,78.1696,78.2729,78.3658,78.4818,78.5961,78.7132,78.7988,78.8955,78.9999,79.0828,79.1818,79.2709,79.3914,79.499,79.5958,79.6962,79.8038,79.9272,80.0462,80.1472,80.2389,80.3536,80.4518,80.5391,80.6322,80.7325,80.8264,80.9371,81.0281,81.1312,81.2288,81.3205,81.4134,81.485,81.5805,81.6771,81.7773,81.858,81.9476,82.0393,82.141,82.2304,82.3268,82.4283,82.4972,82.59,82.7052,82.8214,82.9378,83.0337,83.1258,83.2203,83.3324,83.4291,83.5199,83.6106,83.6959,83.7845,83.8732,83.9634,84.0524,84.1346,84.2208,84.3054,84.3822,84.4632,84.5457,84.6179,84.7088,84.7798,84.8587,84.9663,85.0507,85.1314,85.2179,85.3275,85.4039,85.4938,85.5769,85.671,85.7622,85.8368,85.9241,86.0162,86.1084,86.2052,86.2802,86.3679,86.4618,86.5683,86.6614,86.7569,86.84,86.9175,87.0142,87.1145,87.1838,87.2791,87.3435,87.4328,87.5215,87.6,87.6738,87.7499,87.826,87.9021,87.9782,88.0552,88.1501,88.234,88.3103,88.3895,88.4939,88.5869,88.6797,88.7841,88.8808,88.9657,89.046,89.0987,89.1655,89.2687,89.3536,89.4387,89.5239,89.5888,89.6786,89.7495,89.8187,89.8918,89.9798,90.0598,90.1248,90.197,90.2702,90.3496,90.4093,90.4921,90.5854,90.6664,90.7595,90.8355,90.9091,91.0035,91.0861,91.1631,91.2584,91.3642,91.4293,91.5154,91.5856,91.6802,91.7633,91.823,91.8802,91.9571,92.0379,92.1132,92.1892,92.2487,92.3208,92.3882,92.4731,92.5458,92.6319,92.7212,92.7885,92.8645,92.9345,93.0191,93.0939,93.1676,93.2279,93.2941,93.3371,93.4115,93.4809,93.5531,93.6377,93.7124,93.799,93.8866,93.9949,94.0529,94.1206,94.1945,94.2529,94.3178,94.3627,94.416,94.5005,94.5622,94.6264,94.6802,94.7524,94.8119,94.8608,94.9266,95.0007,95.0634,95.1245,95.1828,95.2483,95.3012,95.3645,95.4168,95.4709,95.531,95.5928,95.647,95.7032,95.7744,95.8441,95.8955,95.9707,96.0333,96.0875,96.1559,96.2342,96.3022,96.3505,96.3859,96.4359,96.4986,96.5723,96.6262,96.6819,96.7287,96.7771,96.8227,96.8878,96.9507,96.9949,97.0522,97.0971,97.1423,97.2151,97.2796,97.3362,97.3841,97.4471,97.4783,97.5149,97.5542,97.6024,97.6423,97.6719,97.7169,97.7637,97.8331,97.8585,97.8872,97.9335,97.9839,98.0517,98.0706,98.1136,98.1597,98.2064,98.2458,98.2783,98.3001,98.3441,98.3975,98.45,98.5027,98.5477,98.5944,98.6108,98.6449,98.694,98.7332,98.7831,98.8341,98.8876,98.9271,98.9532,98.9885,99.0207,99.0699,99.1043,99.1405,99.1889,99.2352,99.25,99.2725,99.2836,99.3001,99.3577,99.3776,99.4184,99.4427,99.4624,99.5032,99.5529,99.5698,99.5901,99.6326,99.6672,99.685,99.708,99.7195,99.7234,99.7541,99.7638,99.7783,99.8002,99.8169,99.8617,99.8771,99.8886,99.91,99.927,99.9347,99.9501,99.9616,99.9654,99.9654,99.9731,99.9731,99.9731,99.9731,99.9769,99.9769,99.9808,99.9885,99.9923,99.9923,99.9923,99.9923,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.129073,0.258146,0.387219,0.516292,0.645365,0.774439,0.903512,1.03258,1.16166,1.29073,1.4198,1.54888,1.67795,1.80702,1.9361,2.06517,2.19424,2.32332,2.45239,2.58146,2.71054,2.83961,2.96868,3.09775,3.22683,3.3559,3.48497,3.61405,3.74312,3.87219,4.00127,4.13034,4.25941,4.38849,4.51756,4.64663,4.7757,4.90478,5.03385,5.16292,5.292,5.42107,5.55014,5.67922,5.80829,5.93736,6.06644,6.19551,6.32458,6.45365,6.58273,6.7118,6.84087,6.96995,7.09902,7.22809,7.35717,7.48624,7.61531,7.74439,7.87346,8.00253,8.13161,8.26068,8.38975,8.51882,8.6479,8.77697,8.90604,9.03512,9.16419,9.29326,9.42234,9.55141,9.68048,9.80956,9.93863,10.0677,10.1968,10.3258,10.4549,10.584,10.7131,10.8421,10.9712,11.1003,11.2294,11.3584,11.4875,11.6166,11.7457,11.8747,12.0038,12.1329,12.2619,12.391,12.5201,12.6492,12.7782,12.9073,13.0364,13.1655,13.2945,13.4236,13.5527,13.6817,13.8108,13.9399,14.069,14.198,14.3271,14.4562,14.5853,14.7143,14.8434,14.9725,15.1016,15.2306,15.3597,15.4888,15.6178,15.7469,15.876,16.0051,16.1341,16.2632,16.3923,16.5214,16.6504,16.7795,16.9086,17.0376,17.1667,17.2958,17.4249,17.5539,17.683,17.8121,17.9412,18.0702,18.1993,18.3284,18.4575,18.5865,18.7156,18.8447,18.9737,19.1028,19.2319,19.361,19.49,19.6191,19.7482,19.8773,20.0063,20.1354,20.2645,20.3935,20.5226,20.6517,20.7808,20.9098,21.0389,21.168,21.2971,21.4261,21.5552,21.6843,21.8134,21.9424,22.0715,22.2006,22.3296,22.4587,22.5878,22.7169,22.8459,22.975,23.1041,23.2332,23.3622,23.4913,23.6204,23.7495,23.8776,24.0008,24.1239,24.2471,24.3702,24.4934,24.6165,24.7397,24.8628,24.9859,25.1091,25.2322,25.3554,25.4785,25.6017,25.7248,25.848,25.9711,26.0943,26.2174,26.3406,26.4637,26.5869,26.71,26.8332,26.9563,27.0795,27.2026,27.3257,27.4489,27.572,27.6952,27.8183,27.9415,28.0646,28.1878,28.3109,28.4341,28.5572,28.6804,28.8035,28.9267,29.0498,29.173,29.2961,29.4193,29.5424,29.6655,29.7887,29.9118,30.035,30.1581,30.2813,30.4044,30.5276,30.6507,30.7739,30.897,31.0202,31.1433,31.2665,31.3896,31.5128,31.6359,31.7591,31.8822,32.0053,32.1285,32.2516,32.3748,32.4979,32.6211,32.7442,32.8674,32.9905,33.1137,33.2368,33.36,33.4831,33.6063,33.7294,33.8526,33.9757,34.0989,34.222,34.3451,34.4683,34.5914,34.7146,34.8377,34.9609,35.084,35.2072,35.3303,35.4535,35.5766,35.6998,35.8229,35.9461,36.0692,36.1924,36.3155,36.4387,36.5618,36.6849,36.8081,36.9312,37.0514,37.1697,37.288,37.4063,37.5246,37.6428,37.7611,37.8794,37.9977,38.116,38.2343,38.3525,38.4708,38.5891,38.7074,38.8257,38.9439,39.0622,39.1805,39.2988,39.4171,39.5354,39.6536,39.7719,39.8902,40.0085,40.1268,40.2451,40.3633,40.4816,40.5999,40.7182,40.8365,40.9547,41.073,41.1913,41.3096,41.4279,41.5462,41.6644,41.7827,41.901,42.0193,42.1376,42.2559,42.3741,42.4924,42.6107,42.729,42.8473,42.9655,43.0838,43.2021,43.3204,43.4387,43.557,43.6752,43.7935,43.9118,44.0301,44.1484,44.2667,44.3849,44.5032,44.6215,44.7398,44.8581,44.9763,45.0946,45.2129,45.3312,45.4495,45.5678,45.686,45.8043,45.9226,46.0409,46.1592,46.2775,46.3957,46.514,46.6323,46.7506,46.8689,46.9871,47.1054,47.2237,47.342,47.4603,47.5786,47.6968,47.8151,47.9334,48.0517,48.17,48.2883,48.4065,48.5248,48.6431,48.7614,48.8797,48.998,49.1162,49.2345,49.3528,49.4711,49.5894,49.7076,49.8259,49.9442,50.0625,50.1808,50.2991,50.4173,50.5356,50.6539,50.7722,50.8905,51.0088,51.127,51.2453,51.3636,51.4819,51.6002,51.7184,51.8367,51.955,52.0733,52.1916,52.3099,52.4281,52.5464,52.6647,52.783,52.9013,53.0196,53.1378,53.2561,53.3744,53.4927,53.611,53.7292,53.8475,53.9658,54.0841,54.2024,54.3207,54.4389,54.5572,54.6755,54.7938,54.9121,55.0304,55.1486,55.2669,55.3852,55.5035,55.6218,55.74,55.8583,55.9766,56.0949,56.2132,56.3315,56.4497,56.568,56.6863,56.8046,56.9229,57.0412,57.1594,57.2777,57.396,57.5143,57.6326,57.7508,57.8691,57.9874,58.1057,58.224,58.3423,58.4605,58.5788,58.6971,58.8154,58.9337,59.052,59.1702,59.2885,59.4068,59.5251,59.6434,59.7617,59.8799,59.9982,60.1165,60.2348,60.3531,60.4713,60.5896,60.7079,60.8262,60.9445,61.0628,61.181,61.2993,61.4176,61.5359,61.6542,61.7725,61.8907,62.009,62.1273,62.2456,62.3639,62.4821,62.6004,62.7187,62.837,62.9553,63.0736,63.1918,63.3101,63.4284,63.5467,63.665,63.7833,63.9015,64.0198,64.1381,64.2564,64.3747,64.4929,64.6112,64.7295,64.8478,64.9661,65.0844,65.2026,65.3209,65.4392,65.5575,65.6758,65.7941,65.9123,66.0306,66.1489,66.2672,66.3855,66.5037,66.622,66.7403,66.8586,66.9769,67.0952,67.2134,67.3317,67.4277,67.5,67.5722,67.6444,67.7166,67.7888,67.8611,67.9333,68.0055,68.0777,68.15,68.2222,68.2944,68.3666,68.4388,68.5111,68.5833,68.6555,68.7277,68.8,68.8722,68.9444,69.0166,69.0888,69.1611,69.2333,69.3055,69.3777,69.45,69.5222,69.5944,69.6666,69.7388,69.8111,69.8833,69.9555,70.0277,70.1,70.1722,70.2444,70.3166,70.3888,70.4611,70.5333,70.6055,70.6777,70.75,70.8222,70.8944,70.9666,71.0388,71.1111,71.1833,71.2555,71.3277,71.4,71.4722,71.5444,71.6166,71.6889,71.7611,71.8333,71.9055,71.9777,72.05,72.1222,72.1944,72.2666,72.3389,72.4111,72.4833,72.5555,72.6277,72.7,72.7722,72.8444,72.9166,72.9889,73.0611,73.1333,73.2055,73.2777,73.35,73.4222,73.4944,73.5666,73.6389,73.7111,73.7833,73.8555,73.9277,74,74.0722,74.1444,74.2166,74.2889,74.3611,74.4333,74.5055,74.5777,74.65,74.7222,74.7944,74.8666,74.9389,75.0111,75.0833,75.1555,75.2277,75.3,75.3722,75.4444,75.5166,75.5889,75.6611,75.7333,75.8055,75.8777,75.95,76.0222,76.0944,76.1666,76.2389,76.3111,76.3833,76.4555,76.5277,76.6,76.6722,76.7444,76.8166,76.8889,76.9611,77.0333,77.1055,77.1777,77.25,77.3222,77.3944,77.4666,77.5389,77.6111,77.6833,77.7555,77.8277,77.9,77.9722,78.0444,78.1166,78.1889,78.2611,78.3333,78.4055,78.4777,78.55,78.6222,78.6944,78.7666,78.8389,78.9111,78.9833,79.0555,79.1277,79.2,79.2722,79.3444,79.4166,79.4889,79.5611,79.6333,79.7055,79.7778,79.85,79.9222,79.9944,80.0666,80.1389,80.2111,80.2833,80.3555,80.4278,80.5,80.5722,80.6444,80.7166,80.7889,80.8611,80.9333,81.0055,81.0778,81.15,81.2222,81.2944,81.3666,81.4389,81.5111,81.5833,81.6555,81.7278,81.8,81.8722,81.9444,82.0166,82.0889,82.1611,82.2333,82.3055,82.3778,82.45,82.5222,82.5944,82.6666,82.7389,82.8111,82.8833,82.9555,83.0278,83.1,83.1722,83.2444,83.3166,83.3889,83.4611,83.5333,83.6055,83.6778,83.75,83.8222,83.8944,83.9666,84.0389,84.1111,84.1833,84.2555,84.3278,84.4,84.4722,84.5444,84.6166,84.6889,84.7611,84.8333,84.9055,84.9778,85.05,85.1222,85.1944,85.2666,85.3389,85.4111,85.4833,85.5555,85.6278,85.7,85.7722,85.8444,85.9166,85.9889,86.0611,86.1333,86.2055,86.2778,86.35,86.4222,86.4944,86.5666,86.6389,86.7111,86.7833,86.8555,86.9278,87,87.0722,87.1444,87.2166,87.2889,87.3611,87.4333,87.5055,87.5778,87.65,87.7222,87.7944,87.8667,87.9389,88.0111,88.0833,88.1555,88.2278,88.3,88.3722,88.4444,88.5167,88.5889,88.6611,88.7333,88.8055,88.8778,88.95,89.0222,89.0944,89.1667,89.2389,89.3111,89.3833,89.4555,89.5278,89.6,89.6722,89.7444,89.8167,89.8889,89.9611,90.0333,90.1055,90.1778,90.25,90.3222,90.3944,90.4667,90.5389,90.6111,90.6833,90.7555,90.8278,90.9,90.9722,91.0444,91.1167,91.1889,91.2611,91.3333,91.4055,91.4778,91.55,91.6222,91.6944,91.7667,91.8389,91.9111,91.9833,92.0555,92.1278,92.2,92.2722,92.3444,92.4167,92.4889,92.5611,92.6333,92.7055,92.7778,92.85,92.9222,92.9944,93.0667,93.1389,93.2111,93.2833,93.3555,93.4278,93.5,93.5722,93.6444,93.7167,93.7889,93.8611,93.9333,94.0055,94.0778,94.15,94.2222,94.2944,94.3667,94.4389,94.5111,94.5833,94.6555,94.7278,94.8,94.8722,94.9444,95.0167,95.0889,95.1611,95.2333,95.3055,95.3778,95.45,95.5222,95.5944,95.6667,95.7389,95.8111,95.8833,95.9556,96.0278,96.1,96.1722,96.2444,96.3167,96.3889,96.4611,96.5333,96.6056,96.6778,96.75,96.8222,96.8944,96.9667,97.0389,97.1111,97.1833,97.2556,97.3278,97.4,97.4722,97.5444,97.6167,97.6889,97.7611,97.8333,97.9056,97.9778,98.05,98.1222,98.1944,98.2667,98.3389,98.4111,98.4833,98.5556,98.6278,98.7,98.7722,98.8444,98.9167,98.9889,99.0611,99.1333,99.2056,99.2778,99.35,99.4222,99.4944,99.5667,99.6389,99.7111,99.7833,99.8556,99.9278,100]
-					}
-				]
-			},
-			{
-				"targetValue": "more",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.419519,0.839038,1.25856,1.67808,2.09759,2.51711,2.93663,3.35615,3.77567,4.19519,4.61471,5.03423,5.45374,5.87326,6.29278,6.7123,7.13182,7.55134,7.97086,8.39038,8.80989,9.22941,9.64893,10.0685,10.488,10.9075,11.327,11.7465,12.166,12.5856,13.0051,13.4246,13.8441,14.2636,14.6832,15.1027,15.5222,15.9417,16.3612,16.7808,17.2003,17.6198,18.0393,18.4588,18.8783,19.2979,19.7174,20.1369,20.5564,20.9759,21.3955,21.815,22.2345,22.654,23.0735,23.4931,23.9126,24.3321,24.7516,25.1711,25.5906,26.0102,26.4297,26.8492,27.2687,27.6882,28.1078,28.5273,28.9468,29.3663,29.7858,30.2054,30.6249,31.0444,31.4639,31.8834,32.3029,32.7225,33.142,33.5615,33.981,34.4005,34.8201,35.2396,35.6591,36.0786,36.4981,36.9177,37.3372,37.7567,38.1762,38.5957,39.0152,39.4348,39.8543,40.2738,40.6933,41.1128,41.5324,41.9519,42.3714,42.7909,43.2104,43.63,44.0495,44.469,44.8885,45.308,45.7275,46.1471,46.5666,46.9861,47.4056,47.8251,48.2447,48.6642,49.0837,49.5032,49.9227,50.3423,50.7618,51.1813,51.6008,52.0203,52.4398,52.8594,53.2789,53.6984,54.1179,54.5374,54.957,55.3765,55.796,56.2155,56.635,57.0546,57.4741,57.8936,58.3131,58.7326,59.1521,59.5717,59.9912,60.4107,60.8302,61.2497,61.6693,62.0888,62.5083,62.9278,63.3473,63.7669,64.1864,64.6059,65.0254,65.4449,65.8644,66.284,66.7035,67.123,67.5425,67.962,68.3816,68.8011,69.2206,69.6401,70.0596,70.4792,70.8987,71.3182,71.7377,72.1572,72.5767,72.9963,73.4158,73.8353,74.2548,74.6743,75.0939,75.5134,75.9329,76.3524,76.7719,77.1915,77.611,78.0305,78.45,78.8695,79.289,79.7086,80.1281,80.5476,80.9671,81.3866,81.8062,82.2257,82.6452,83.0647,83.4842,83.9038,84.3233,84.7428,85.1623,85.5818,86.0014,86.4209,86.8404,87.2599,87.6794,88.0989,88.5185,88.938,89.3575,89.777,90.1965,90.6161,91.0356,91.4551,91.8746,92.2941,92.7137,93.1332,93.5527,93.9722,94.3917,94.8112,95.2308,95.6503,96.0698,96.4893,96.9088,97.3284,97.7479,98.1674,98.5869,99.0064,99.426,99.8455,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.419519,0.839038,1.25856,1.67808,2.09759,2.51711,2.93663,3.35615,3.77567,4.19519,4.61471,5.03423,5.45374,5.87326,6.29278,6.7123,7.13182,7.55134,7.97086,8.39038,8.80989,9.22941,9.64893,10.0685,10.488,10.9075,11.327,11.7465,12.166,12.5856,13.0051,13.4246,13.8441,14.2636,14.6832,15.1027,15.5222,15.9417,16.3612,16.7808,17.2003,17.6198,18.0393,18.4466,18.8661,19.2856,19.7051,20.1246,20.5441,20.9637,21.3832,21.7904,22.2099,22.6295,23.049,23.4562,23.8512,24.2584,24.678,25.0852,25.5047,25.9242,26.3438,26.7387,27.1582,27.5655,27.9482,28.3186,28.7136,29.0787,29.4298,29.8125,30.1829,30.4595,30.8256,31.1751,31.5483,31.9368,32.2581,32.6654,33.048,33.3939,33.7568,34.0656,34.3494,34.7041,35.0695,35.3302,35.6196,35.9761,36.318,36.6069,36.9629,37.1984,37.5651,37.9493,38.2968,38.6693,38.9407,39.2057,39.5095,39.8191,40.0814,40.398,40.7048,41.0408,41.3341,41.5829,41.8392,42.0995,42.3937,42.6562,42.9668,43.3339,43.6043,43.8799,44.1311,44.3828,44.6319,44.9107,45.2605,45.5764,45.87,46.1401,46.4123,46.6946,47.0538,47.2565,47.5149,47.7866,48.1143,48.4528,48.6505,48.9206,49.1964,49.5212,49.8133,50.0787,50.3728,50.6753,50.9952,51.2135,51.48,51.7186,51.932,52.1189,52.3939,52.67,52.9063,53.1846,53.4033,53.6146,53.8885,54.1535,54.4233,54.6649,54.9123,55.0962,55.3155,55.5754,55.8816,56.1469,56.3492,56.5185,56.7193,56.9659,57.1851,57.3645,57.6197,57.8166,58.0086,58.2486,58.495,58.7171,58.9444,59.1912,59.4435,59.6608,59.9112,60.1214,60.3547,60.5789,60.7981,60.9809,61.1902,61.4535,61.6829,61.8719,62.1195,62.3339,62.5561,62.7056,62.9548,63.231,63.4432,63.6761,63.8596,64.0627,64.2969,64.3702,64.5101,64.6527,64.8337,64.9828,65.1717,65.3695,65.5513,65.8332,66.0412,66.2683,66.4521,66.6326,66.782,66.9777,67.1546,67.3591,67.4932,67.6375,67.8247,67.9732,68.1772,68.3664,68.5958,68.7723,68.9515,69.1126,69.2863,69.5233,69.752,69.9061,70.0233,70.2185,70.363,70.5745,70.6559,70.7709,70.9443,71.1,71.218,71.4023,71.579,71.701,71.8615,71.9829,72.1381,72.3668,72.5326,72.7184,72.9069,73.119,73.2827,73.4211,73.6069,73.8055,73.9984,74.131,74.3432,74.4905,74.638,74.7862,74.8762,75.0821,75.3334,75.4964,75.6445,75.755,75.8409,75.9642,76.0864,76.1724,76.3387,76.5146,76.666,76.7822,76.9557,77.1321,77.3085,77.4849,77.6613,77.845,78.0137,78.1496,78.2838,78.4976,78.6128,78.8107,78.9099,79.0204,79.1922,79.3463,79.4606,79.5827,79.6619,79.7815,79.9206,80.1007,80.2107,80.3358,80.461,80.6017,80.7826,80.9109,81.0296,81.1837,81.316,81.4915,81.5608,81.7038,81.8655,82.0153,82.091,82.2583,82.451,82.5802,82.769,82.9249,83.0857,83.2597,83.4091,83.5531,83.7098,83.8449,83.9764,84.1126,84.2488,84.3959,84.5255,84.655,84.7655,84.8269,84.9444,85.0696,85.1829,85.2303,85.2787,85.3302,85.453,85.6524,85.7476,85.8591,85.9931,86.0877,86.2141,86.3474,86.5091,86.6084,86.7191,86.8335,87.0243,87.1471,87.2735,87.3813,87.4714,87.6,87.6659,87.7854,87.8843,88.0064,88.1471,88.2529,88.306,88.4322,88.529,88.5684,88.5936,88.6693,88.7681,88.8784,88.9542,88.9885,89.1235,89.2267,89.3813,89.4672,89.5777,89.7236,89.7692,89.8235,89.8723,89.9951,90.0845,90.167,90.2382,90.3404,90.3986,90.437,90.4679,90.5163,90.5928,90.7299,90.793,90.8907,90.9894,91.0877,91.1825,91.2227,91.2595,91.3332,91.4366,91.5419,91.6036,91.6591,91.7137,91.7959,91.8733,91.9838,92.082,92.1557,92.2715,92.3275,92.3501,92.4626,92.4994,92.543,92.659,92.7081,92.7326,92.794,92.8307,92.93,92.9841,93.029,93.0744,93.1241,93.2231,93.285,93.3237,93.3833,93.4692,93.5298,93.6288,93.6609,93.7147,93.77,93.8252,93.8864,93.8988,93.9406,94.0339,94.0707,94.1008,94.1444,94.2057,94.2426,94.2794,94.3408,94.3776,94.4144,94.5126,94.6109,94.6477,94.7091,94.7459,94.8073,94.9062,95.0037,95.0053,95.0528,95.0896,95.1387,95.1755,95.2181,95.2492,95.286,95.357,95.4579,95.5438,95.616,95.6911,95.7034,95.736,95.8016,95.8262,95.863,95.9024,95.9367,95.9612,95.998,96.0013,96.0471,96.0594,96.1208,96.2067,96.2518,96.2681,96.2681,96.3049,96.3418,96.3572,96.3786,96.3786,96.3909,96.4154,96.4645,96.5136,96.5521,96.5627,96.575,96.5996,96.6333,96.6855,96.6978,96.6978,96.7223,96.7473,96.7714,96.7721,96.8082,96.8205,96.8819,96.9065,96.931,96.9556,96.9924,97.0169,97.0292,97.1029,97.1274,97.1669,97.2134,97.229,97.2625,97.2747,97.2993,97.3238,97.3361,97.3852,97.4098,97.4589,97.4712,97.5325,97.5571,97.6062,97.6307,97.643,97.643,97.6553,97.6676,97.6797,97.6921,97.7134,97.7289,97.7412,97.7412,97.8101,97.8763,97.8885,97.8929,97.9376,97.9622,97.9745,98.0113,98.0358,98.0604,98.0727,98.0849,98.0849,98.1095,98.1095,98.1272,98.1463,98.1586,98.1954,98.2077,98.22,98.2323,98.2814,98.3059,98.3305,98.3673,98.3673,98.379,98.3796,98.4164,98.4655,98.5146,98.5392,98.5514,98.5637,98.576,98.6005,98.635,98.6496,98.6619,98.6922,98.7233,98.7356,98.7514,98.7601,98.797,98.8461,98.8461,98.8804,98.8829,98.8829,98.8829,98.8998,98.9197,98.932,98.9443,98.9443,98.9443,98.9811,98.9934,99.0056,99.0179,99.0179,99.0302,99.0425,99.0548,99.0548,99.0548,99.067,99.067,99.0793,99.0916,99.1284,99.1407,99.1407,99.1652,99.1652,99.1652,99.1652,99.1652,99.1652,99.1652,99.1898,99.1898,99.1898,99.1898,99.2207,99.2389,99.2512,99.2736,99.288,99.2989,99.3003,99.3003,99.3003,99.3003,99.3003,99.3003,99.3003,99.3371,99.3494,99.3494,99.3494,99.3616,99.3616,99.3862,99.3862,99.3985,99.3985,99.3985,99.3985,99.3985,99.4108,99.4108,99.4108,99.4108,99.4108,99.4108,99.4163,99.423,99.423,99.4353,99.4476,99.4476,99.4599,99.4599,99.4721,99.4721,99.4844,99.4844,99.4967,99.4967,99.4967,99.4967,99.509,99.509,99.509,99.5212,99.5212,99.5212,99.5335,99.5335,99.5335,99.5335,99.5335,99.5335,99.5458,99.5458,99.5458,99.5458,99.5458,99.5458,99.5458,99.5581,99.5703,99.5826,99.5826,99.5826,99.5949,99.6072,99.6072,99.6072,99.6072,99.6072,99.6194,99.6194,99.6194,99.6194,99.6194,99.6194,99.6194,99.6317,99.6317,99.6317,99.644,99.644,99.644,99.6685,99.6685,99.6685,99.6685,99.6685,99.6808,99.6931,99.6931,99.6931,99.6931,99.6931,99.6931,99.7054,99.7177,99.7299,99.7299,99.7299,99.7299,99.7299,99.7299,99.7299,99.7337,99.7545,99.7545,99.7545,99.7668,99.7668,99.779,99.779,99.779,99.779,99.779,99.779,99.7913,99.7913,99.7913,99.7913,99.7913,99.8036,99.8036,99.8036,99.8036,99.8159,99.8159,99.8159,99.8159,99.8159,99.8159,99.8281,99.8281,99.8281,99.8404,99.8404,99.8404,99.8404,99.8527,99.8527,99.8527,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.8895,99.8895,99.8895,99.8895,99.8895,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9213,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9386,99.9386,99.9386,99.9386,99.9386,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.188755,0.37751,0.566265,0.75502,0.943775,1.13253,1.32128,1.51004,1.69879,1.88755,2.0763,2.26506,2.45381,2.64257,2.83132,3.02008,3.20883,3.39759,3.58634,3.7751,3.96385,4.15261,4.34136,4.53012,4.71887,4.90763,5.09638,5.28514,5.47389,5.66265,5.8514,6.04016,6.22891,6.41767,6.60642,6.79518,6.98393,7.17269,7.36144,7.5502,7.73895,7.92771,8.11646,8.30522,8.49397,8.68273,8.87148,9.06024,9.24899,9.43775,9.6265,9.81525,10.004,10.1928,10.3815,10.5703,10.759,10.9478,11.1365,11.3253,11.514,11.7028,11.8916,12.0803,12.2691,12.4578,12.6466,12.8353,13.0241,13.2128,13.4016,13.5904,13.7791,13.9679,14.1566,14.3454,14.5341,14.7229,14.9116,15.1004,15.2891,15.4779,15.6667,15.8554,16.0442,16.2329,16.4217,16.6104,16.7992,16.9879,17.1767,17.3655,17.5542,17.743,17.9317,18.1205,18.3092,18.498,18.6867,18.8755,19.0642,19.253,19.4418,19.6305,19.8193,20.008,20.1968,20.3855,20.5743,20.763,20.9518,21.1405,21.3293,21.5181,21.7068,21.8956,22.0843,22.2731,22.4618,22.6506,22.8393,23.0281,23.2169,23.4056,23.5944,23.7831,23.9719,24.1606,24.3494,24.5381,24.7269,24.9156,25.1044,25.2932,25.4819,25.6707,25.8594,26.0482,26.2369,26.4257,26.6144,26.8032,26.992,27.1807,27.3695,27.5582,27.747,27.9357,28.1245,28.3132,28.502,28.6907,28.8795,29.0683,29.257,29.4458,29.6345,29.8233,30.012,30.2008,30.3895,30.5783,30.767,30.9558,31.1446,31.3333,31.5221,31.7108,31.8996,32.0883,32.2771,32.4658,32.6546,32.8434,33.0321,33.2209,33.4096,33.5984,33.7871,33.9759,34.1646,34.3534,34.5421,34.7309,34.9197,35.1084,35.2972,35.4859,35.6747,35.8634,36.0522,36.2409,36.4297,36.6185,36.8072,36.996,37.1847,37.3735,37.5622,37.751,37.9397,38.1285,38.3172,38.506,38.6948,38.8835,39.0723,39.261,39.4498,39.6385,39.8273,40.016,40.2048,40.3935,40.5823,40.7711,40.9598,41.1486,41.3373,41.5261,41.7148,41.9036,42.0923,42.2811,42.4699,42.6586,42.8474,43.0361,43.2249,43.4136,43.6024,43.7911,43.9799,44.1686,44.3574,44.5462,44.7349,44.9237,45.1124,45.3012,45.4899,45.6787,45.8674,46.0562,46.245,46.4337,46.6225,46.8112,47,47.1887,47.3775,47.5662,47.755,47.9437,48.1325,48.3213,48.51,48.6988,48.8875,49.0763,49.265,49.4538,49.6425,49.8313,50.02,50.2088,50.3976,50.5863,50.7751,50.9638,51.1526,51.3413,51.5301,51.7188,51.9076,52.0964,52.2851,52.4739,52.6626,52.8514,53.0401,53.2289,53.4176,53.6064,53.7951,53.9839,54.1727,54.3614,54.5502,54.7389,54.9277,55.1164,55.3052,55.4939,55.6827,55.8715,56.0602,56.249,56.4377,56.6265,56.8152,57.004,57.1927,57.3815,57.5702,57.759,57.9478,58.1365,58.3253,58.514,58.7028,58.8915,59.0803,59.269,59.4578,59.6465,59.8353,60.0241,60.2128,60.4016,60.5903,60.7791,60.9678,61.1566,61.3453,61.5341,61.7229,61.9116,62.1004,62.2891,62.4779,62.6666,62.8554,63.0441,63.2329,63.4216,63.6104,63.7992,63.9879,64.1767,64.3654,64.5542,64.7429,64.9317,65.1204,65.3092,65.498,65.6867,65.8755,66.0642,66.253,66.4417,66.6305,66.8192,67.008,67.1967,67.3855,67.5743,67.763,67.9518,68.1405,68.3293,68.518,68.7068,68.8955,69.0843,69.273,69.4618,69.6506,69.8393,70.0281,70.2168,70.4056,70.5943,70.7831,70.9718,71.1606,71.3494,71.5381,71.7269,71.9156,72.1044,72.2931,72.4819,72.6706,72.8594,73.0481,73.2369,73.4257,73.6144,73.8032,73.9919,74.1807,74.3694,74.5582,74.7469,74.9357,75.1245,75.3132,75.502,75.6907,75.8795,76.0682,76.257,76.4457,76.6345,76.8232,77.012,77.2008,77.3895,77.5783,77.767,77.9558,78.1445,78.3333,78.522,78.7108,78.8995,79.0883,79.2771,79.4658,79.6546,79.8433,80.0321,80.2208,80.4096,80.5983,80.7871,80.9759,81.1646,81.3534,81.5421,81.7309,81.9196,82.1084,82.2971,82.4859,82.6746,82.8634,83.0522,83.2409,83.4297,83.6184,83.8072,83.9959,84.1847,84.3734,84.5622,84.751,84.9397,85.1285,85.2412,85.2828,85.3244,85.366,85.4076,85.4491,85.4907,85.5323,85.5739,85.6155,85.6571,85.6986,85.7402,85.7818,85.8234,85.865,85.9066,85.9481,85.9897,86.0313,86.0729,86.1145,86.1561,86.1977,86.2392,86.2808,86.3224,86.364,86.4056,86.4472,86.4887,86.5303,86.5719,86.6135,86.6551,86.6967,86.7382,86.7798,86.8214,86.863,86.9046,86.9462,86.9878,87.0293,87.0709,87.1125,87.1541,87.1957,87.2373,87.2788,87.3204,87.362,87.4036,87.4452,87.4868,87.5283,87.5699,87.6115,87.6531,87.6947,87.7363,87.7779,87.8194,87.861,87.9026,87.9442,87.9858,88.0274,88.0689,88.1105,88.1521,88.1937,88.2353,88.2769,88.3184,88.36,88.4016,88.4432,88.4848,88.5264,88.568,88.6095,88.6511,88.6927,88.7343,88.7759,88.8175,88.859,88.9006,88.9422,88.9838,89.0254,89.067,89.1086,89.1501,89.1917,89.2333,89.2749,89.3165,89.3581,89.3996,89.4412,89.4828,89.5244,89.566,89.6076,89.6491,89.6907,89.7323,89.7739,89.8155,89.8571,89.8987,89.9402,89.9818,90.0234,90.065,90.1066,90.1482,90.1897,90.2313,90.2729,90.3145,90.3561,90.3977,90.4392,90.4808,90.5224,90.564,90.6056,90.6472,90.6888,90.7303,90.7719,90.8135,90.8551,90.8967,90.9383,90.9798,91.0214,91.063,91.1046,91.1462,91.1878,91.2293,91.2709,91.3125,91.3541,91.3957,91.4373,91.4789,91.5204,91.562,91.6036,91.6452,91.6868,91.7284,91.7699,91.8115,91.8531,91.8947,91.9363,91.9779,92.0194,92.061,92.1026,92.1442,92.1858,92.2274,92.269,92.3105,92.3521,92.3937,92.4353,92.4769,92.5185,92.56,92.6016,92.6432,92.6848,92.7264,92.768,92.8095,92.8511,92.8927,92.9343,92.9759,93.0175,93.0591,93.1006,93.1422,93.1838,93.2254,93.267,93.3086,93.3501,93.3917,93.4333,93.4749,93.5165,93.5581,93.5997,93.6412,93.6828,93.7244,93.766,93.8076,93.8492,93.8907,93.9323,93.9739,94.0155,94.0571,94.0987,94.1402,94.1818,94.2234,94.265,94.3066,94.3482,94.3898,94.4313,94.4729,94.5145,94.5561,94.5977,94.6393,94.6808,94.7224,94.764,94.8056,94.8472,94.8888,94.9303,94.9719,95.0135,95.0551,95.0967,95.1383,95.1799,95.2214,95.263,95.3046,95.3462,95.3878,95.4294,95.4709,95.5125,95.5541,95.5957,95.6373,95.6789,95.7204,95.762,95.8036,95.8452,95.8868,95.9223,95.9483,95.9744,96.0004,96.0264,96.0525,96.0785,96.1046,96.1306,96.1566,96.1827,96.2087,96.2348,96.2608,96.2868,96.3129,96.3389,96.365,96.391,96.417,96.4431,96.4691,96.4952,96.5212,96.5472,96.5733,96.5993,96.6254,96.6514,96.6774,96.7035,96.7295,96.7556,96.7816,96.8076,96.8337,96.8597,96.8858,96.9118,96.9378,96.9639,96.9899,97.016,97.042,97.068,97.0941,97.1201,97.1462,97.1722,97.1982,97.2243,97.2503,97.2764,97.3024,97.3284,97.3545,97.3805,97.4066,97.4326,97.4586,97.4847,97.5107,97.5368,97.5628,97.5888,97.6149,97.6409,97.667,97.693,97.719,97.7451,97.7711,97.7972,97.8232,97.8492,97.8753,97.9013,97.9274,97.9534,97.9794,98.0055,98.0315,98.0576,98.0836,98.1096,98.1357,98.1617,98.1878,98.2138,98.2398,98.2659,98.2919,98.318,98.344,98.37,98.3961,98.4221,98.4482,98.4742,98.5002,98.5263,98.5523,98.5784,98.6044,98.6304,98.6565,98.6825,98.6925,98.6996,98.7067,98.7138,98.7209,98.728,98.7351,98.7422,98.7493,98.7565,98.7636,98.7707,98.7778,98.7849,98.792,98.7991,98.8062,98.8133,98.8204,98.8275,98.8346,98.8417,98.8488,98.8559,98.863,98.8701,98.8773,98.8844,98.8915,98.8986,98.9057,98.9128,98.9199,98.927,98.9341,98.9412,98.9483,98.9554,98.9625,98.9696,98.9767,98.9838,98.991,98.9981,99.0052,99.0123,99.0194,99.0265,99.0336,99.0407,99.0478,99.0549,99.062,99.0691,99.0762,99.0833,99.0904,99.0975,99.1046,99.1118,99.1189,99.126,99.1331,99.1402,99.1473,99.1544,99.1615,99.1686,99.1757,99.1828,99.1899,99.197,99.2041,99.2112,99.2183,99.2254,99.2326,99.2397,99.2468,99.2539,99.261,99.2681,99.2752,99.2823,99.2894,99.2965,99.3036,99.3107,99.3178,99.3249,99.332,99.3391,99.3462,99.3534,99.3605,99.3676,99.3747,99.3818,99.3889,99.396,99.4031,99.4102,99.4173,99.4244,99.4315,99.4386,99.4457,99.4528,99.4599,99.4671,99.4742,99.4813,99.4884,99.4955,99.5026,99.5097,99.5168,99.5239,99.531,99.5381,99.5452,99.5523,99.5594,99.5665,99.5736,99.5807,99.5879,99.595,99.6021,99.6092,99.6163,99.6234,99.6305,99.6376,99.6447,99.6518,99.6589,99.666,99.6731,99.6802,99.6873,99.6944,99.7015,99.7087,99.7158,99.7229,99.73,99.7371,99.7442,99.7513,99.7584,99.7655,99.7726,99.7797,99.7868,99.7939,99.801,99.8081,99.8152,99.8224,99.8295,99.8366,99.8437,99.8508,99.8579,99.865,99.8721,99.8792,99.8863,99.8934,99.9005,99.9076,99.9147,99.9218,99.9289,99.936,99.9432,99.9503,99.9574,99.9645,99.9716,99.9787,99.9858,99.9929,100]
-					}
-				]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Adult",
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 14668,
-			"learningTask": "Classification analysis",
-			"targetVariable": "class",
-			"mainTargetValue": "more"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 0.870057,
-				"compression": 0.481524,
-				"auc": 0.923339
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate relationship",
-				"accuracy": 0.75859,
-				"compression": 0.20523,
-				"auc": 0.777504
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[10536,1315],
-						[591,2226]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[11127,3541],
-						[0,0]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "relationship",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Husband","Wife"],
-								["Not-in-family"],
-								["Own-child","Other-relative"],
-								["Unmarried"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[3621,2997],
-						[3391,405],
-						[2714,56],
-						[1401,83]
-					],
-					"partInterests": [0.42137,0.134193,0.333377,0.11106]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "less",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.131823,0.263647,0.39547,0.527294,0.659117,0.790941,0.922764,1.05459,1.18641,1.31823,1.45006,1.58188,1.71371,1.84553,1.97735,2.10918,2.241,2.37282,2.50465,2.63647,2.76829,2.90012,3.03194,3.16376,3.29559,3.42741,3.55923,3.69106,3.82288,3.9547,4.08653,4.21835,4.35018,4.482,4.61382,4.74565,4.87747,5.00929,5.14112,5.27294,5.40476,5.53659,5.66841,5.80023,5.93206,6.06388,6.1957,6.32753,6.45935,6.59117,6.723,6.85482,6.98665,7.11847,7.25029,7.38212,7.51394,7.64576,7.77759,7.90941,8.04123,8.17306,8.30488,8.4367,8.56853,8.70035,8.83217,8.964,9.09582,9.22764,9.35947,9.49129,9.62311,9.75494,9.88676,10.0186,10.1504,10.2822,10.4141,10.5459,10.6777,10.8095,10.9413,11.0732,11.205,11.3368,11.4686,11.6005,11.7323,11.8641,11.9959,12.1278,12.2596,12.3914,12.5232,12.6551,12.7869,12.9187,13.0505,13.1823,13.3142,13.446,13.5778,13.7096,13.8415,13.9733,14.1051,14.2369,14.3688,14.5006,14.6324,14.7642,14.8961,15.0279,15.1597,15.2915,15.4233,15.5552,15.687,15.8188,15.9506,16.0825,16.2143,16.3461,16.4779,16.6098,16.7416,16.8734,17.0052,17.1371,17.2689,17.4007,17.5325,17.6643,17.7962,17.928,18.0598,18.1916,18.3235,18.4553,18.5871,18.7189,18.8508,18.9826,19.1144,19.2462,19.3781,19.5099,19.6417,19.7735,19.9053,20.0372,20.169,20.3008,20.4326,20.5645,20.6963,20.8281,20.9599,21.0918,21.2236,21.3554,21.4872,21.6191,21.7509,21.8827,22.0145,22.1463,22.2782,22.41,22.5418,22.6736,22.8055,22.9373,23.0691,23.2009,23.3328,23.4646,23.5964,23.7282,23.8601,23.9919,24.1237,24.2555,24.3873,24.5192,24.651,24.7828,24.9146,25.0465,25.1783,25.3101,25.4419,25.5738,25.7056,25.8374,25.9692,26.1011,26.2329,26.3647,26.4965,26.6283,26.7602,26.892,27.0238,27.1556,27.2875,27.4193,27.5511,27.6829,27.8148,27.9466,28.0784,28.2102,28.3421,28.4739,28.6057,28.7375,28.8693,29.0012,29.133,29.2648,29.3966,29.5285,29.6603,29.7921,29.9239,30.0558,30.1876,30.3194,30.4512,30.5831,30.7149,30.8467,30.9785,31.1103,31.2422,31.374,31.5058,31.6376,31.7695,31.9013,32.0331,32.1649,32.2968,32.4286,32.5604,32.6922,32.824,32.9559,33.0877,33.2195,33.3513,33.4832,33.615,33.7468,33.8786,34.0105,34.1423,34.2741,34.4059,34.5378,34.6696,34.8014,34.9332,35.065,35.1969,35.3287,35.4605,35.5923,35.7242,35.856,35.9878,36.1196,36.2515,36.3833,36.5151,36.6469,36.7788,36.9106,37.0424,37.1742,37.306,37.4379,37.5697,37.7015,37.8333,37.9652,38.097,38.2288,38.3606,38.4925,38.6243,38.7561,38.8879,39.0198,39.1516,39.2834,39.4152,39.547,39.6789,39.8107,39.9425,40.0743,40.2062,40.338,40.4698,40.6016,40.7335,40.8653,40.9971,41.1289,41.2608,41.3926,41.5244,41.6562,41.788,41.9199,42.0517,42.1835,42.3153,42.4472,42.579,42.7108,42.8426,42.9745,43.1063,43.2381,43.3699,43.5018,43.6336,43.7654,43.8972,44.029,44.1609,44.2927,44.4245,44.5563,44.6882,44.82,44.9518,45.0836,45.2155,45.3473,45.4791,45.6109,45.7428,45.8746,46.0064,46.1382,46.27,46.4019,46.5337,46.6655,46.7973,46.9292,47.061,47.1928,47.3246,47.4565,47.5883,47.7201,47.8519,47.9838,48.1156,48.2474,48.3792,48.511,48.6429,48.7747,48.9065,49.0383,49.1702,49.302,49.4338,49.5656,49.6975,49.8293,49.9611,50.0929,50.2248,50.3566,50.4884,50.6202,50.752,50.8839,51.0157,51.1475,51.2793,51.4112,51.543,51.6748,51.8066,51.9385,52.0703,52.2021,52.3339,52.4657,52.5976,52.7294,52.8612,52.993,53.1249,53.2567,53.3885,53.5203,53.6522,53.784,53.9158,54.0476,54.1795,54.3113,54.4431,54.5749,54.7067,54.8386,54.9704,55.1022,55.234,55.3659,55.4977,55.6295,55.7613,55.8932,56.025,56.1568,56.2886,56.4205,56.5523,56.6841,56.8159,56.9477,57.0796,57.2114,57.3432,57.475,57.6069,57.7387,57.8705,58.0023,58.1342,58.266,58.3978,58.5296,58.6615,58.7933,58.9251,59.0569,59.1887,59.3206,59.4524,59.5842,59.716,59.8479,59.9797,60.1115,60.2433,60.3752,60.507,60.6388,60.7706,60.9025,61.0343,61.1661,61.2979,61.4297,61.5616,61.6934,61.8252,61.957,62.0889,62.2207,62.3525,62.4843,62.6162,62.748,62.8798,63.0116,63.1435,63.2753,63.4071,63.5389,63.6707,63.8026,63.9344,64.0662,64.198,64.3299,64.4617,64.5935,64.7253,64.8572,64.989,65.1208,65.2526,65.3845,65.5163,65.6481,65.7799,65.9117,66.0436,66.1754,66.3072,66.439,66.5709,66.7027,66.8345,66.9663,67.0982,67.23,67.3618,67.4936,67.6255,67.7573,67.8891,68.0209,68.1527,68.2846,68.4164,68.5482,68.68,68.8119,68.9437,69.0755,69.2073,69.3392,69.471,69.6028,69.7346,69.8665,69.9983,70.1301,70.2619,70.3937,70.5256,70.6574,70.7892,70.921,71.0529,71.1847,71.3165,71.4483,71.5802,71.712,71.8438,71.9756,72.1075,72.2393,72.3711,72.5029,72.6347,72.7666,72.8984,73.0302,73.162,73.2939,73.4257,73.5575,73.6893,73.8212,73.953,74.0848,74.2166,74.3484,74.4803,74.6121,74.7439,74.8757,75.0076,75.1394,75.2712,75.403,75.5349,75.6667,75.7985,75.9303,76.0622,76.194,76.3258,76.4576,76.5894,76.7213,76.8531,76.9849,77.1167,77.2486,77.3804,77.5122,77.644,77.7759,77.9077,78.0395,78.1713,78.3032,78.435,78.5668,78.6986,78.8304,78.9623,79.0941,79.2259,79.3577,79.4896,79.6214,79.7532,79.885,80.0169,80.1487,80.2805,80.4123,80.5442,80.676,80.8078,80.9396,81.0714,81.2033,81.3351,81.4669,81.5987,81.7306,81.8624,81.9942,82.126,82.2579,82.3897,82.5215,82.6533,82.7852,82.917,83.0488,83.1806,83.3124,83.4443,83.5761,83.7079,83.8397,83.9716,84.1034,84.2352,84.367,84.4989,84.6307,84.7625,84.8943,85.0262,85.158,85.2898,85.4216,85.5534,85.6853,85.8171,85.9489,86.0807,86.2126,86.3444,86.4762,86.608,86.7399,86.8717,87.0035,87.1353,87.2672,87.399,87.5308,87.6626,87.7944,87.9263,88.0581,88.1899,88.3217,88.4536,88.5854,88.7172,88.849,88.9809,89.1127,89.2445,89.3763,89.5082,89.64,89.7718,89.9036,90.0354,90.1673,90.2991,90.4309,90.5627,90.6946,90.8264,90.9582,91.09,91.2219,91.3537,91.4855,91.6173,91.7492,91.881,92.0128,92.1446,92.2764,92.4083,92.5401,92.6719,92.8037,92.9356,93.0674,93.1992,93.331,93.4629,93.5947,93.7265,93.8583,93.9902,94.122,94.2538,94.3856,94.5174,94.6493,94.7811,94.9129,95.0447,95.1766,95.3084,95.4402,95.572,95.7039,95.8357,95.9675,96.0993,96.2311,96.363,96.4948,96.6266,96.7584,96.8903,97.0221,97.1539,97.2857,97.4176,97.5494,97.6812,97.813,97.9449,98.0767,98.2085,98.3403,98.4721,98.604,98.7358,98.8676,98.9994,99.1313,99.2631,99.3949,99.5267,99.6586,99.7904,99.9222,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.131823,0.263647,0.39547,0.527294,0.659117,0.790941,0.922764,1.05459,1.18641,1.31823,1.45006,1.58188,1.71371,1.84553,1.97735,2.10918,2.241,2.37282,2.50465,2.63647,2.76829,2.90012,3.03194,3.16376,3.29559,3.42741,3.55923,3.69106,3.82288,3.9547,4.08653,4.21835,4.35018,4.482,4.61382,4.74565,4.87747,5.00929,5.14112,5.27294,5.40476,5.53659,5.66841,5.80023,5.93206,6.06388,6.1957,6.32753,6.45935,6.59117,6.723,6.85482,6.98665,7.11847,7.25029,7.38212,7.51394,7.64576,7.77759,7.90941,8.04123,8.17306,8.30488,8.4367,8.56853,8.70035,8.83217,8.964,9.09582,9.22764,9.35947,9.49129,9.62311,9.75494,9.88676,10.0096,10.1414,10.2732,10.4051,10.5369,10.6687,10.8005,10.9324,11.0642,11.196,11.3278,11.4597,11.5915,11.7233,11.8551,11.987,12.1188,12.2506,12.3824,12.5142,12.6461,12.7779,12.9097,13.0415,13.1734,13.3052,13.437,13.5688,13.7007,13.8325,13.9643,14.0961,14.228,14.3598,14.4916,14.6234,14.7552,14.8871,15.0189,15.1507,15.2825,15.4144,15.5462,15.678,15.8098,15.9417,16.0735,16.2053,16.3371,16.4689,16.6008,16.7326,16.8644,16.9962,17.1281,17.2599,17.3917,17.5235,17.6554,17.7872,17.919,18.0508,18.1827,18.3145,18.4463,18.5781,18.7099,18.8418,18.9736,19.1054,19.2372,19.3691,19.5009,19.6327,19.7645,19.8964,20.0282,20.16,20.2918,20.4237,20.5555,20.6873,20.8191,20.9509,21.0828,21.2146,21.3464,21.4782,21.6101,21.7419,21.8737,21.9965,22.1284,22.2602,22.392,22.5238,22.6557,22.7875,22.9193,23.0511,23.183,23.3148,23.4466,23.5784,23.7103,23.8421,23.9739,24.1057,24.2375,24.3694,24.5012,24.633,24.7648,24.8967,25.0285,25.1603,25.2921,25.424,25.5558,25.6876,25.8108,25.9423,26.0651,26.1969,26.3287,26.4606,26.5924,26.7242,26.856,26.9879,27.1197,27.2515,27.3833,27.5152,27.647,27.7788,27.9106,28.0425,28.1743,28.3061,28.4379,28.5697,28.7016,28.8334,28.9652,29.097,29.2289,29.3607,29.4925,29.6243,29.7562,29.888,30.0198,30.1516,30.2745,30.4063,30.5381,30.6699,30.8018,30.9336,31.0654,31.1972,31.3291,31.4609,31.5927,31.7245,31.8563,31.9882,32.12,32.2518,32.3836,32.5155,32.6383,32.7701,32.902,33.0338,33.1656,33.2974,33.4292,33.5521,33.6839,33.8157,33.9476,34.0704,34.1932,34.325,34.4569,34.5887,34.7205,34.8523,34.9842,35.1152,35.2298,35.3617,35.4935,35.6253,35.7571,35.88,36.0118,36.1436,36.2754,36.4073,36.5391,36.6709,36.7937,36.9256,37.0574,37.1892,37.321,37.4529,37.5847,37.7165,37.8483,37.9802,38.112,38.2258,38.3577,38.4895,38.6213,38.7441,38.876,39.0078,39.1396,39.2624,39.3943,39.5261,39.6579,39.7897,39.9126,40.0444,40.1762,40.308,40.4399,40.5717,40.6945,40.8264,40.9582,41.09,41.2218,41.3536,41.4855,41.5993,41.7311,41.863,41.9948,42.1266,42.2494,42.3813,42.5131,42.6449,42.7588,42.8906,43.0134,43.1453,43.2771,43.39,43.5048,43.6366,43.7684,43.9002,44.0321,44.1639,44.2957,44.4275,44.5504,44.6732,44.805,44.9279,45.0597,45.1915,45.3144,45.4462,45.578,45.7008,45.8237,45.9465,46.0783,46.2102,46.342,46.4648,46.5882,46.7195,46.8513,46.9831,47.106,47.2378,47.3696,47.5014,47.6243,47.7561,47.8879,48.0197,48.1442,48.2654,48.3972,48.5126,48.6384,48.7568,48.8708,49.0008,49.1238,49.2481,49.3709,49.5028,49.6346,49.7664,49.8982,50.0301,50.1619,50.2937,50.4165,50.5484,50.6802,50.812,50.9348,51.0667,51.1895,51.3123,51.4442,51.576,51.6898,51.8217,51.9535,52.0853,52.2153,52.34,52.4718,52.6018,52.7175,52.8223,52.9362,53.068,53.1998,53.3316,53.4635,53.5953,53.7145,53.841,53.9728,54.0966,54.2185,54.3323,54.4641,54.596,54.7098,54.8326,54.9588,55.0783,55.2101,55.342,55.4648,55.5786,55.7015,55.8333,55.9472,56.07,56.1966,56.3157,56.4475,56.5793,56.6932,56.825,56.9298,57.0617,57.1935,57.3073,57.4392,57.553,57.6669,57.7627,57.8856,58.0084,58.1402,58.2541,58.3769,58.4998,58.6226,58.7454,58.8683,59.0001,59.1139,59.2458,59.3776,59.5094,59.6322,59.7461,59.8544,59.9828,60.1056,60.2374,60.3693,60.4921,60.6149,60.7378,60.8696,60.9924,61.1243,61.2561,61.3699,61.4928,61.6075,61.7295,61.8523,61.9751,62.098,62.218,62.3436,62.4575,62.5893,62.7121,62.835,62.9398,63.0627,63.1945,63.3263,63.4492,63.581,63.6948,63.8267,63.9405,64.0723,64.1967,64.318,64.4408,64.5547,64.6775,64.8004,64.9232,65.04,65.1509,65.2737,65.4056,65.5284,65.6602,65.7831,65.8969,66.0197,66.1516,66.2654,66.3793,66.4931,66.607,66.7028,66.8077,66.9215,67.0264,67.1403,67.2451,67.359,67.4821,67.6046,67.7365,67.8593,67.9788,68.0869,68.2098,68.3237,68.4465,68.5783,68.7012,68.824,68.9469,69.0697,69.2015,69.3154,69.4382,69.552,69.6749,69.7977,69.9116,70.0254,70.1372,70.2621,70.3939,70.4988,70.6306,70.7449,70.8493,70.9632,71.077,71.1729,71.2951,71.4187,71.5197,71.6373,71.7421,71.856,71.9609,72.073,72.1975,72.3294,72.4522,72.5651,72.6797,72.769,72.8896,73.0125,73.1263,73.2515,73.381,73.4858,73.5817,73.6947,73.8004,73.9106,74.0271,74.142,74.2698,74.3687,74.4655,74.5794,74.6728,74.7718,74.894,74.9988,75.0786,75.2086,75.3244,75.4273,75.5233,75.6294,75.7257,75.8351,75.9311,76.0295,76.1523,76.2739,76.38,76.4716,76.5839,76.6946,76.7995,76.8902,76.9912,77.1132,77.2266,77.3238,77.4018,77.5093,77.6384,77.7432,77.8661,77.9799,78.0843,78.1896,78.3035,78.4173,78.5132,78.5908,78.6713,78.7993,78.8967,79.0106,79.1154,79.1843,79.3072,79.4104,79.5003,79.6226,79.734,79.8328,79.9115,80.014,80.1194,80.2126,80.3108,80.4029,80.4936,80.5715,80.7008,80.8262,80.94,81.0539,81.1497,81.2618,81.3667,81.4563,81.5332,81.6295,81.7291,81.8388,81.935,82.0576,82.1534,82.2763,82.3762,82.4771,82.5811,82.6957,82.8006,82.9134,83.0103,83.1104,83.207,83.3159,83.4014,83.4858,83.5817,83.6776,83.7663,83.8552,83.9471,84.0559,84.1788,84.2657,84.3615,84.4345,84.4994,84.587,84.6911,84.8012,84.8763,84.9877,85.1106,85.1705,85.2664,85.369,85.4318,85.518,85.5984,85.6808,85.7696,85.86,85.9504,86.0408,86.1311,86.2137,86.309,86.4037,86.5108,86.6305,86.7298,86.8154,86.9098,86.9981,87.094,87.2006,87.2857,87.3795,87.449,87.5327,87.5911,87.65,87.7316,87.82,87.9084,87.9968,88.0852,88.1736,88.2471,88.2806,88.367,88.4425,88.5321,88.6291,88.7263,88.8356,88.9516,89.0744,89.1793,89.2482,89.3195,89.404,89.4819,89.5763,89.6468,89.7367,89.8176,89.8817,89.9673,90.073,90.1378,90.2246,90.312,90.3843,90.4714,90.5845,90.6714,90.7432,90.8241,90.923,91.0189,91.0878,91.1657,91.2526,91.3439,91.4354,91.5201,91.6041,91.6689,91.7408,91.8166,91.8966,91.9601,92.0364,92.1326,92.2162,92.2781,92.3295,92.3876,92.4655,92.5548,92.6472,92.7311,92.8283,92.8912,92.9593,93.0439,93.0889,93.1518,93.2298,93.2982,93.3645,93.4406,93.51,93.5858,93.6736,93.7437,93.8132,93.881,93.9508,94.0056,94.0689,94.1437,94.2213,94.2662,94.3318,94.41,94.4549,94.4999,94.5826,94.6215,94.6953,94.7537,94.8234,94.8818,94.9577,95.0411,95.1009,95.1327,95.1951,95.2582,95.3177,95.3536,95.3806,95.4255,95.4586,95.5285,95.6002,95.6511,95.7021,95.7925,95.8631,95.9537,96.0187,96.0736,96.1575,96.2114,96.2484,96.2821,96.3486,96.431,96.4923,96.5717,96.6511,96.7142,96.763,96.7942,96.8484,96.8815,96.9444,96.9893,97.0393,97.0894,97.1349,97.232,97.291,97.365,97.4161,97.4618,97.5106,97.549,97.5893,97.6184,97.6438,97.67,97.6882,97.7099,97.7712,97.8161,97.8453,97.897,97.9277,98.0048,98.0595,98.1127,98.1711,98.2091,98.253,98.2969,98.3336,98.3803,98.4175,98.4468,98.4868,98.5261,98.5351,98.5582,98.598,98.6267,98.6593,98.6834,98.6969,98.7164,98.757,98.7957,98.8445,98.8586,98.8954,98.9215,98.9509,98.9826,99.0114,99.0474,99.0653,99.1013,99.1441,99.1557,99.1904,99.2271,99.2361,99.2654,99.29,99.3033,99.3139,99.3979,99.4428,99.4867,99.5237,99.5436,99.5776,99.6212,99.6225,99.6405,99.6675,99.6706,99.6854,99.7355,99.7843,99.8113,99.8203,99.8315,99.8562,99.8613,99.8742,99.8922,99.9101,99.9281,99.9281,99.9281,99.9281,99.9281,99.9281,99.9371,99.9461,99.9551,99.9551,99.9551,99.9551,99.9641,99.9641,99.9641,99.9641,99.9641,99.9641,99.9641,99.9641,99.9641,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.982,99.991,99.991,99.991,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.129158,0.258317,0.387475,0.516634,0.645792,0.774951,0.904109,1.03327,1.16243,1.29158,1.42074,1.5499,1.67906,1.80822,1.93738,2.06654,2.19569,2.32485,2.45401,2.58317,2.71233,2.84149,2.97064,3.0998,3.22896,3.35812,3.48728,3.61644,3.7456,3.87475,4.00391,4.13307,4.26223,4.39139,4.52055,4.6497,4.77886,4.90802,5.03718,5.16634,5.2955,5.42466,5.55381,5.68297,5.81213,5.94129,6.07045,6.19961,6.32876,6.45792,6.58708,6.71624,6.8454,6.97456,7.10372,7.23287,7.36203,7.49119,7.62035,7.74951,7.87867,8.00783,8.13698,8.26614,8.3953,8.52446,8.65362,8.78278,8.91193,9.04109,9.17025,9.29941,9.42857,9.55773,9.68689,9.81604,9.9452,10.0744,10.2035,10.3327,10.4618,10.591,10.7202,10.8493,10.9785,11.1076,11.2368,11.3659,11.4951,11.6243,11.7534,11.8826,12.0117,12.1409,12.2701,12.3992,12.5284,12.6575,12.7867,12.9158,13.045,13.1742,13.3033,13.4325,13.5616,13.6908,13.82,13.9491,14.0783,14.2074,14.3366,14.4657,14.5949,14.7241,14.8532,14.9824,15.1115,15.2407,15.3699,15.499,15.6282,15.7573,15.8865,16.0157,16.1448,16.274,16.4031,16.5323,16.6614,16.7906,16.9198,17.0489,17.1781,17.3072,17.4364,17.5656,17.6947,17.8239,17.953,18.0822,18.2113,18.3405,18.4697,18.5988,18.728,18.8571,18.9863,19.1155,19.2446,19.3738,19.5029,19.6321,19.7612,19.8904,20.0196,20.1487,20.2779,20.407,20.5362,20.6654,20.7945,20.9237,21.0528,21.182,21.3111,21.4403,21.5695,21.6986,21.8278,21.9569,22.0861,22.2153,22.3444,22.4736,22.6027,22.7319,22.861,22.9902,23.1194,23.2485,23.3777,23.5068,23.636,23.7652,23.8943,24.0235,24.1526,24.2818,24.4102,24.5347,24.6591,24.7836,24.908,25.0325,25.1569,25.2814,25.4058,25.5303,25.6547,25.7792,25.9036,26.0281,26.1525,26.277,26.4014,26.5259,26.6503,26.7748,26.8992,27.0237,27.1481,27.2726,27.397,27.5215,27.6459,27.7704,27.8948,28.0193,28.1437,28.2682,28.3926,28.5171,28.6415,28.766,28.8904,29.0149,29.1394,29.2638,29.3883,29.5127,29.6372,29.7616,29.8861,30.0105,30.135,30.2594,30.3839,30.5083,30.6328,30.7572,30.8817,31.0061,31.1306,31.255,31.3795,31.5039,31.6284,31.7528,31.8773,32.0017,32.1262,32.2506,32.3751,32.4995,32.624,32.7484,32.8729,32.9973,33.1218,33.2462,33.3707,33.4951,33.6196,33.744,33.8685,33.9929,34.1174,34.2418,34.3663,34.4907,34.6152,34.7396,34.8641,34.9885,35.113,35.2374,35.3619,35.4863,35.6108,35.7352,35.8597,35.9841,36.1086,36.233,36.3575,36.4819,36.6064,36.7308,36.8553,36.9797,37.0976,37.2154,37.3331,37.4509,37.5687,37.6864,37.8042,37.9219,38.0397,38.1575,38.2752,38.393,38.5107,38.6285,38.7463,38.864,38.9818,39.0995,39.2173,39.335,39.4528,39.5706,39.6883,39.8061,39.9238,40.0416,40.1594,40.2771,40.3949,40.5126,40.6304,40.7482,40.8659,40.9837,41.1014,41.2192,41.337,41.4547,41.5725,41.6902,41.808,41.9257,42.0435,42.1613,42.279,42.3968,42.5145,42.6323,42.7501,42.8678,42.9856,43.1033,43.2211,43.3389,43.4566,43.5744,43.6921,43.8099,43.9277,44.0454,44.1632,44.2809,44.3987,44.5164,44.6342,44.752,44.8697,44.9875,45.1052,45.223,45.3408,45.4585,45.5763,45.694,45.8118,45.9296,46.0473,46.1651,46.2828,46.4006,46.5184,46.6361,46.7539,46.8716,46.9894,47.1071,47.2249,47.3427,47.4604,47.5782,47.6959,47.8137,47.9315,48.0492,48.167,48.2847,48.4025,48.5203,48.638,48.7558,48.8735,48.9913,49.1091,49.2268,49.3446,49.4623,49.5801,49.6978,49.8156,49.9334,50.0511,50.1689,50.2866,50.4044,50.5222,50.6399,50.7577,50.8754,50.9932,51.111,51.2287,51.3465,51.4642,51.582,51.6998,51.8175,51.9353,52.053,52.1708,52.2885,52.4063,52.5241,52.6418,52.7596,52.8773,52.9951,53.1129,53.2306,53.3484,53.4661,53.5839,53.7017,53.8194,53.9372,54.0549,54.1727,54.2905,54.4082,54.526,54.6437,54.7615,54.8792,54.997,55.1148,55.2325,55.3503,55.468,55.5858,55.7036,55.8213,55.9391,56.0568,56.1746,56.2924,56.4101,56.5279,56.6456,56.7634,56.8812,56.9989,57.1167,57.2344,57.3522,57.4699,57.5877,57.7055,57.8232,57.941,58.0587,58.1765,58.2943,58.412,58.5298,58.6475,58.7653,58.8831,59.0008,59.1186,59.2363,59.3541,59.4719,59.5896,59.7074,59.8251,59.9429,60.0606,60.1784,60.2962,60.4139,60.5317,60.6494,60.7672,60.885,61.0027,61.1205,61.2382,61.356,61.4738,61.5915,61.7093,61.827,61.9448,62.0626,62.1803,62.2981,62.4158,62.5336,62.6513,62.7691,62.8869,63.0046,63.1224,63.2401,63.3579,63.4757,63.5934,63.7112,63.8289,63.9467,64.0645,64.1822,64.3,64.4177,64.5355,64.6533,64.771,64.8888,65.0065,65.1243,65.242,65.3598,65.4776,65.5953,65.7131,65.8308,65.9486,66.0664,66.1841,66.3019,66.4196,66.5374,66.6552,66.7729,66.8907,67.0084,67.1262,67.244,67.3617,67.471,67.5431,67.6152,67.6873,67.7595,67.8316,67.9037,67.9759,68.048,68.1201,68.1922,68.2644,68.3365,68.4086,68.4807,68.5529,68.625,68.6971,68.7692,68.8414,68.9135,68.9856,69.0578,69.1299,69.202,69.2741,69.3463,69.4184,69.4905,69.5626,69.6348,69.7069,69.779,69.8511,69.9233,69.9954,70.0675,70.1396,70.2118,70.2839,70.356,70.4282,70.5003,70.5724,70.6445,70.7167,70.7888,70.8609,70.933,71.0052,71.0773,71.1494,71.2215,71.2937,71.3658,71.4379,71.5101,71.5822,71.6543,71.7264,71.7986,71.8707,71.9428,72.0149,72.0871,72.1592,72.2313,72.3034,72.3756,72.4477,72.5198,72.5919,72.6641,72.7362,72.8083,72.8805,72.9526,73.0247,73.0968,73.169,73.2411,73.3132,73.3853,73.4575,73.5296,73.6017,73.6738,73.746,73.8181,73.8902,73.9624,74.0345,74.1066,74.1787,74.2509,74.323,74.3951,74.4672,74.5394,74.6115,74.6836,74.7557,74.8279,74.9,74.9721,75.0442,75.1164,75.1885,75.2606,75.3328,75.4049,75.477,75.5491,75.6213,75.6934,75.7655,75.8376,75.9098,75.9819,76.054,76.1261,76.1983,76.2704,76.3425,76.4146,76.4868,76.5589,76.631,76.7032,76.7753,76.8474,76.9195,76.9917,77.0638,77.1359,77.208,77.2802,77.3523,77.4244,77.4965,77.5687,77.6408,77.7129,77.7851,77.8572,77.9293,78.0014,78.0736,78.1457,78.2178,78.2899,78.3621,78.4342,78.5063,78.5784,78.6506,78.7227,78.7948,78.8669,78.9391,79.0112,79.0833,79.1555,79.2276,79.2997,79.3718,79.444,79.5161,79.5882,79.6603,79.7325,79.8046,79.8767,79.9488,80.021,80.0931,80.1652,80.2374,80.3095,80.3816,80.4537,80.5259,80.598,80.6701,80.7422,80.8144,80.8865,80.9586,81.0307,81.1029,81.175,81.2471,81.3192,81.3914,81.4635,81.5356,81.6078,81.6799,81.752,81.8241,81.8963,81.9684,82.0405,82.1126,82.1848,82.2569,82.329,82.4011,82.4733,82.5454,82.6175,82.6897,82.7618,82.8339,82.906,82.9782,83.0503,83.1224,83.1945,83.2667,83.3388,83.4109,83.483,83.5552,83.6273,83.6994,83.7715,83.8437,83.9158,83.9879,84.0601,84.1322,84.2043,84.2764,84.3486,84.4207,84.4928,84.5649,84.6371,84.7092,84.7813,84.8534,84.9256,84.9977,85.0698,85.142,85.2141,85.2862,85.3583,85.4305,85.5026,85.5747,85.6468,85.719,85.7911,85.8632,85.9353,86.0075,86.0796,86.1517,86.2238,86.296,86.3681,86.4402,86.5124,86.5845,86.6566,86.7287,86.8009,86.873,86.9451,87.0172,87.0894,87.1615,87.2336,87.3057,87.3779,87.45,87.5221,87.5943,87.6664,87.7385,87.8106,87.8828,87.9549,88.027,88.0991,88.1713,88.2434,88.3155,88.3876,88.4598,88.5319,88.604,88.6761,88.7483,88.8204,88.8925,88.9647,89.0368,89.1089,89.181,89.2532,89.3253,89.3974,89.4695,89.5417,89.6138,89.6859,89.758,89.8302,89.9023,89.9744,90.0465,90.1187,90.1908,90.2629,90.3351,90.4072,90.4793,90.5514,90.6236,90.6957,90.7678,90.8399,90.9121,90.9842,91.0563,91.1284,91.2006,91.2727,91.3448,91.417,91.4891,91.5612,91.6333,91.7055,91.7776,91.8497,91.9218,91.994,92.0661,92.1382,92.2103,92.2825,92.3546,92.4267,92.4988,92.571,92.6431,92.7152,92.7874,92.8595,92.9316,93.0037,93.0759,93.148,93.2201,93.2922,93.3644,93.4365,93.5086,93.5807,93.6529,93.725,93.7971,93.8693,93.9414,94.0135,94.0856,94.1578,94.2299,94.302,94.3741,94.4463,94.5184,94.5905,94.6626,94.7348,94.8069,94.879,94.9511,95.0233,95.0954,95.1675,95.2397,95.3118,95.3839,95.456,95.5282,95.6003,95.6724,95.7445,95.8167,95.8888,95.9609,96.033,96.1052,96.1773,96.2494,96.3216,96.3937,96.4658,96.5379,96.6101,96.6822,96.7543,96.8264,96.8986,96.9707,97.0428,97.1149,97.1871,97.2592,97.3313,97.4034,97.4756,97.5477,97.6198,97.692,97.7641,97.8362,97.9083,97.9805,98.0526,98.1247,98.1968,98.269,98.3411,98.4132,98.4853,98.5575,98.6296,98.7017,98.7739,98.846,98.9181,98.9902,99.0624,99.1345,99.2066,99.2787,99.3509,99.423,99.4951,99.5672,99.6394,99.7115,99.7836,99.8557,99.9279,100]
-					}
-				]
-			},
-			{
-				"targetValue": "more",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.414233,0.828467,1.2427,1.65693,2.07117,2.4854,2.89963,3.31387,3.7281,4.14233,4.55657,4.9708,5.38503,5.79927,6.2135,6.62773,7.04197,7.4562,7.87043,8.28467,8.6989,9.11313,9.52737,9.9416,10.3558,10.7701,11.1843,11.5985,12.0128,12.427,12.8412,13.2555,13.6697,14.0839,14.4982,14.9124,15.3266,15.7409,16.1551,16.5693,16.9836,17.3978,17.812,18.2263,18.6405,19.0547,19.469,19.8832,20.2974,20.7117,21.1259,21.5401,21.9544,22.3686,22.7828,23.1971,23.6113,24.0255,24.4398,24.854,25.2682,25.6825,26.0967,26.5109,26.9252,27.3394,27.7536,28.1679,28.5821,28.9963,29.4106,29.8248,30.239,30.6533,31.0675,31.4817,31.896,32.3102,32.7244,33.1387,33.5529,33.9671,34.3814,34.7956,35.2098,35.6241,36.0383,36.4525,36.8668,37.281,37.6952,38.1095,38.5237,38.9379,39.3522,39.7664,40.1806,40.5949,41.0091,41.4233,41.8376,42.2518,42.666,43.0803,43.4945,43.9087,44.323,44.7372,45.1514,45.5657,45.9799,46.3941,46.8084,47.2226,47.6368,48.0511,48.4653,48.8795,49.2938,49.708,50.1222,50.5365,50.9507,51.3649,51.7792,52.1934,52.6076,53.0219,53.4361,53.8503,54.2646,54.6788,55.093,55.5073,55.9215,56.3357,56.75,57.1642,57.5784,57.9927,58.4069,58.8211,59.2354,59.6496,60.0638,60.4781,60.8923,61.3065,61.7208,62.135,62.5492,62.9635,63.3777,63.7919,64.2062,64.6204,65.0346,65.4489,65.8631,66.2773,66.6916,67.1058,67.52,67.9343,68.3485,68.7627,69.177,69.5912,70.0054,70.4197,70.8339,71.2481,71.6624,72.0766,72.4908,72.9051,73.3193,73.7335,74.1478,74.562,74.9762,75.3905,75.8047,76.2189,76.6332,77.0474,77.4616,77.8759,78.2901,78.7043,79.1186,79.5328,79.947,80.3613,80.7755,81.1897,81.604,82.0182,82.4324,82.8467,83.2609,83.6751,84.0894,84.5036,84.9178,85.3321,85.7463,86.1605,86.5748,86.989,87.4032,87.8175,88.2317,88.6459,89.0602,89.4744,89.8886,90.3029,90.7171,91.1313,91.5456,91.9598,92.374,92.7883,93.2025,93.6167,94.031,94.4452,94.8594,95.2737,95.6879,96.1021,96.5164,96.9306,97.3448,97.7591,98.1733,98.5875,99.0018,99.416,99.8302,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.414233,0.828467,1.2427,1.65693,2.07117,2.4854,2.89963,3.31387,3.7281,4.14233,4.55657,4.9708,5.38503,5.79927,6.2135,6.62773,7.04197,7.4562,7.87043,8.28467,8.6989,9.11313,9.52737,9.9416,10.3276,10.7418,11.1561,11.5421,11.9563,12.3705,12.7848,13.199,13.6132,14.0274,14.4417,14.8559,15.2701,15.6844,16.0986,16.5128,16.9271,17.3413,17.7555,18.1698,18.584,18.9982,19.356,19.7702,20.1845,20.5987,21.0129,21.4272,21.8414,22.2556,22.6699,23.0559,23.4701,23.8843,24.2986,24.6846,25.0705,25.4565,25.8708,26.285,26.6992,27.1135,27.5277,27.8855,28.2432,28.601,28.9749,29.3729,29.7095,30.0884,30.4744,30.804,31.0647,31.3218,31.6895,32.0938,32.4233,32.781,33.1911,33.4683,33.7758,34.1273,34.4253,34.7016,34.9746,35.1251,35.5061,35.8785,36.2153,36.5375,36.9235,37.2223,37.5275,37.9055,38.185,38.4863,38.8441,39.1453,39.4692,39.7836,40.1056,40.4378,40.7364,41.1062,41.3672,41.6598,41.9463,42.2992,42.6712,43.0098,43.3215,43.6455,43.9348,44.2763,44.6623,44.9529,45.2415,45.5638,45.861,46.1287,46.4276,46.7037,46.9799,47.2748,47.5056,47.7526,47.995,48.1668,48.4847,48.7364,49.059,49.3321,49.5537,49.8998,50.2566,50.5887,50.9231,51.246,51.5335,51.8269,52.0878,52.3586,52.6123,52.7939,53.0226,53.1319,53.403,53.66,53.9171,54.1901,54.4067,54.7169,54.9609,55.2771,55.5382,55.7541,55.9186,56.0834,56.3049,56.4603,56.6657,56.9738,57.272,57.5167,57.6673,57.9091,58.1192,58.2485,58.4409,58.571,58.8252,59.0794,59.2684,59.4631,59.7733,60.0463,60.3758,60.6771,60.9043,61.1204,61.3386,61.6528,61.879,62.0313,62.207,62.4377,62.633,62.8636,63.0461,63.3379,63.4922,63.7653,64.0383,64.2069,64.4149,64.6879,64.8583,65.0375,65.2529,65.4951,65.6899,65.8912,66.0869,66.2807,66.4192,66.5951,66.7913,66.9664,67.1723,67.3718,67.5408,67.7574,68.0304,68.1787,68.3788,68.5956,68.7042,68.8548,68.9787,69.1124,69.2819,69.5136,69.7663,69.986,70.1373,70.2494,70.4239,70.6386,70.8013,70.9775,71.1658,71.3762,71.5265,71.6747,71.8014,71.9288,72.07,72.2395,72.4372,72.5499,72.6535,72.8136,73.002,73.1432,73.202,73.3427,73.5298,73.6692,73.8107,74.0213,74.1034,74.2487,74.4613,74.6214,74.7532,74.9461,75.0635,75.233,75.3816,75.5719,75.7696,75.8543,75.8825,75.9321,76.003,76.1118,76.2214,76.354,76.5308,76.6737,76.9828,77.1658,77.3023,77.4388,77.5753,77.7118,77.8483,78.0059,78.2351,78.4658,78.617,78.8128,78.9325,79.0791,79.1584,79.2714,79.4083,79.5256,79.6709,79.7732,79.8113,79.8888,80.0056,80.1204,80.2752,80.4054,80.5356,80.6657,80.7959,80.9313,81.0866,81.2482,81.3916,81.6082,81.7001,81.813,82.039,82.0672,82.1313,82.3096,82.3779,82.4651,82.6038,82.8141,82.9992,83.1121,83.2533,83.2816,83.3537,83.4792,83.6141,83.7496,83.8626,83.9755,84.1245,84.27,84.3421,84.4529,84.5524,84.662,84.7218,84.8066,84.8608,84.948,85.0452,85.1454,85.1737,85.2866,85.3158,85.4278,85.4973,85.5985,85.7103,85.8828,86.0153,86.1,86.1621,86.2751,86.3315,86.388,86.4082,86.4163,86.5857,86.7148,86.8399,86.9455,87.0668,87.1498,87.2421,87.409,87.5126,87.5768,87.6068,87.7386,87.8283,87.8565,88.0542,88.1389,88.1954,88.3036,88.3154,88.4768,88.6473,88.7602,88.8167,88.8732,88.9565,89.0426,89.0991,89.1274,89.2121,89.2208,89.2971,89.4663,89.575,89.6331,89.6639,89.7607,89.8899,89.9746,90.041,90.1025,90.2287,90.3096,90.3417,90.37,90.4749,90.5876,90.6581,90.7698,90.8505,90.963,91.0539,91.1042,91.1102,91.2737,91.3584,91.3886,91.4917,91.6125,91.669,91.7788,91.8824,91.8949,91.9484,91.9964,92.0644,92.1464,92.2056,92.3186,92.4033,92.4107,92.4315,92.488,92.5162,92.5515,92.6849,92.7392,92.7986,92.8269,92.8269,92.8498,92.9116,92.9963,93.0528,93.1375,93.1824,93.2792,93.3051,93.3352,93.4482,93.5047,93.5611,93.6474,93.7023,93.7023,93.7871,93.7871,93.8087,93.8718,93.9283,93.9848,94.013,94.0412,94.0977,94.126,94.1824,94.1824,94.2107,94.2389,94.2672,94.2954,94.2954,94.3236,94.3801,94.408,94.4826,94.5213,94.5496,94.5496,94.5787,94.606,94.6625,94.7472,94.8037,94.8884,94.9449,95.0297,95.1426,95.1991,95.2556,95.3121,95.3685,95.3685,95.3968,95.4533,95.4815,95.4815,95.5097,95.5097,95.538,95.6037,95.6509,95.6792,95.7074,95.7357,95.7921,95.8204,95.8534,95.8769,95.8769,95.9334,95.9334,95.9898,95.9898,96.0181,96.0181,96.0181,96.0463,96.131,96.1593,96.1875,96.1875,96.244,96.2635,96.3005,96.3287,96.357,96.3852,96.4163,96.4699,96.4982,96.5546,96.5546,96.5546,96.5829,96.5829,96.6111,96.6394,96.6676,96.6676,96.6676,96.6958,96.7067,96.7806,96.8371,96.8653,96.8653,96.8653,96.8653,96.9218,96.9218,96.95,96.9783,97.0065,97.0347,97.063,97.1195,97.1195,97.1477,97.1759,97.2889,97.3454,97.4019,97.4019,97.4583,97.4583,97.4583,97.5431,97.5431,97.5995,97.5995,97.5995,97.6398,97.656,97.6843,97.7408,97.7408,97.769,97.8255,97.8537,97.8537,97.8537,97.8923,97.9102,97.9384,97.9949,97.9949,97.9949,98.0514,98.0828,98.1079,98.1079,98.1247,98.1644,98.1644,98.1644,98.1644,98.1644,98.1644,98.2208,98.3056,98.3563,98.362,98.362,98.3846,98.3903,98.3903,98.3903,98.3903,98.4468,98.4468,98.4468,98.475,98.5032,98.5032,98.5315,98.5315,98.5315,98.5315,98.5597,98.5597,98.5597,98.5597,98.5597,98.5597,98.5597,98.5597,98.588,98.6115,98.6394,98.645,98.7009,98.7433,98.7623,98.8139,98.8139,98.8471,98.8704,98.8704,98.8704,98.8704,98.8986,98.8986,98.8986,98.8986,98.9269,98.9269,98.9269,98.9287,98.9551,98.9833,98.9833,98.9833,98.9833,99.0116,99.0398,99.0681,99.0681,99.0681,99.0963,99.0963,99.0963,99.1245,99.1245,99.1528,99.181,99.181,99.181,99.181,99.181,99.181,99.181,99.181,99.2345,99.294,99.294,99.294,99.3222,99.3222,99.3787,99.3787,99.3787,99.3787,99.4069,99.4069,99.4069,99.4069,99.4069,99.4634,99.4634,99.4634,99.4634,99.4634,99.4634,99.4634,99.4917,99.4917,99.4917,99.4917,99.4917,99.4917,99.5199,99.5199,99.5199,99.5199,99.5199,99.5482,99.5482,99.5482,99.5482,99.5764,99.5764,99.5764,99.5764,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6329,99.6611,99.6611,99.6611,99.6611,99.6611,99.6611,99.6611,99.6894,99.6894,99.6894,99.6894,99.6894,99.7433,99.7458,99.7458,99.7458,99.7458,99.7458,99.7458,99.7458,99.7741,99.8023,99.8023,99.8023,99.8023,99.8306,99.8306,99.8306,99.8306,99.8306,99.8306,99.8306,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.8588,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.887,99.9153,99.9163,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9435,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,99.9718,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.187588,0.375176,0.562764,0.750352,0.93794,1.12553,1.31312,1.5007,1.68829,1.87588,2.06347,2.25106,2.43864,2.62623,2.81382,3.00141,3.189,3.37658,3.56417,3.75176,3.93935,4.12694,4.31452,4.50211,4.6897,4.87729,5.06487,5.25246,5.44005,5.62764,5.81523,6.00281,6.1904,6.37799,6.56558,6.75317,6.94075,7.12834,7.31593,7.50352,7.69111,7.87869,8.06628,8.25387,8.44146,8.62905,8.81663,9.00422,9.19181,9.3794,9.56699,9.75457,9.94216,10.1297,10.3173,10.5049,10.6925,10.8801,11.0677,11.2553,11.4429,11.6305,11.818,12.0056,12.1932,12.3808,12.5684,12.756,12.9436,13.1312,13.3187,13.5063,13.6939,13.8815,14.0691,14.2567,14.4443,14.6319,14.8194,15.007,15.1946,15.3822,15.5698,15.7574,15.945,16.1326,16.3202,16.5077,16.6953,16.8829,17.0705,17.2581,17.4457,17.6333,17.8209,18.0084,18.196,18.3836,18.5712,18.7588,18.9464,19.134,19.3216,19.5091,19.6967,19.8843,20.0719,20.2595,20.4471,20.6347,20.8223,21.0099,21.1974,21.385,21.5726,21.7602,21.9478,22.1354,22.323,22.5106,22.6981,22.8857,23.0733,23.2609,23.4485,23.6361,23.8237,24.0113,24.1988,24.3864,24.574,24.7616,24.9492,25.1368,25.3244,25.512,25.6996,25.8871,26.0747,26.2623,26.4499,26.6375,26.8251,27.0127,27.2003,27.3878,27.5754,27.763,27.9506,28.1382,28.3258,28.5134,28.701,28.8885,29.0761,29.2637,29.4513,29.6389,29.8265,30.0141,30.2017,30.3892,30.5768,30.7644,30.952,31.1396,31.3272,31.5148,31.7024,31.89,32.0775,32.2651,32.4527,32.6403,32.8279,33.0155,33.2031,33.3907,33.5782,33.7658,33.9534,34.141,34.3286,34.5162,34.7038,34.8914,35.0789,35.2665,35.4541,35.6417,35.8293,36.0169,36.2045,36.3921,36.5797,36.7672,36.9548,37.1424,37.33,37.5176,37.7052,37.8928,38.0804,38.2679,38.4555,38.6431,38.8307,39.0183,39.2059,39.3935,39.5811,39.7686,39.9562,40.1438,40.3314,40.519,40.7066,40.8942,41.0818,41.2694,41.4569,41.6445,41.8321,42.0197,42.2073,42.3949,42.5825,42.7701,42.9576,43.1452,43.3328,43.5204,43.708,43.8956,44.0832,44.2708,44.4583,44.6459,44.8335,45.0211,45.2087,45.3963,45.5839,45.7715,45.959,46.1466,46.3342,46.5218,46.7094,46.897,47.0846,47.2722,47.4598,47.6473,47.8349,48.0225,48.2101,48.3977,48.5853,48.7729,48.9605,49.148,49.3356,49.5232,49.7108,49.8984,50.086,50.2736,50.4612,50.6487,50.8363,51.0239,51.2115,51.3991,51.5867,51.7743,51.9619,52.1495,52.337,52.5246,52.7122,52.8998,53.0874,53.275,53.4626,53.6502,53.8377,54.0253,54.2129,54.4005,54.5881,54.7757,54.9633,55.1509,55.3384,55.526,55.7136,55.9012,56.0888,56.2764,56.464,56.6516,56.8392,57.0267,57.2143,57.4019,57.5895,57.7771,57.9647,58.1523,58.3399,58.5274,58.715,58.9026,59.0902,59.2778,59.4654,59.653,59.8406,60.0281,60.2157,60.4033,60.5909,60.7785,60.9661,61.1537,61.3413,61.5289,61.7164,61.904,62.0916,62.2792,62.4668,62.6544,62.842,63.0296,63.2171,63.4047,63.5923,63.7799,63.9675,64.1551,64.3427,64.5303,64.7178,64.9054,65.093,65.2806,65.4682,65.6558,65.8434,66.031,66.2185,66.4061,66.5937,66.7813,66.9689,67.1565,67.3441,67.5317,67.7193,67.9068,68.0944,68.282,68.4696,68.6572,68.8448,69.0324,69.22,69.4075,69.5951,69.7827,69.9703,70.1579,70.3455,70.5331,70.7207,70.9082,71.0958,71.2834,71.471,71.6586,71.8462,72.0338,72.2214,72.409,72.5965,72.7841,72.9717,73.1593,73.3469,73.5345,73.7221,73.9097,74.0972,74.2848,74.4724,74.66,74.8476,75.0352,75.2228,75.4104,75.5979,75.7855,75.9731,76.1607,76.3483,76.5359,76.7235,76.9111,77.0987,77.2862,77.4738,77.6614,77.849,78.0366,78.2242,78.4118,78.5994,78.7869,78.9745,79.1621,79.3497,79.5373,79.7249,79.9125,80.1001,80.2876,80.4752,80.6628,80.8504,81.038,81.2256,81.4132,81.6008,81.7883,81.9759,82.1635,82.3511,82.5387,82.7263,82.9139,83.1015,83.2891,83.4766,83.6642,83.8518,84.0394,84.227,84.4146,84.6022,84.6731,84.7173,84.7615,84.8057,84.8499,84.894,84.9382,84.9824,85.0266,85.0708,85.115,85.1592,85.2034,85.2476,85.2918,85.336,85.3802,85.4244,85.4686,85.5128,85.557,85.6012,85.6454,85.6896,85.7338,85.7779,85.8221,85.8663,85.9105,85.9547,85.9989,86.0431,86.0873,86.1315,86.1757,86.2199,86.2641,86.3083,86.3525,86.3967,86.4409,86.4851,86.5293,86.5735,86.6177,86.6618,86.706,86.7502,86.7944,86.8386,86.8828,86.927,86.9712,87.0154,87.0596,87.1038,87.148,87.1922,87.2364,87.2806,87.3248,87.369,87.4132,87.4574,87.5016,87.5458,87.5899,87.6341,87.6783,87.7225,87.7667,87.8109,87.8551,87.8993,87.9435,87.9877,88.0319,88.0761,88.1203,88.1645,88.2087,88.2529,88.2971,88.3413,88.3855,88.4297,88.4738,88.518,88.5622,88.6064,88.6506,88.6948,88.739,88.7832,88.8274,88.8716,88.9158,88.96,89.0042,89.0484,89.0926,89.1368,89.181,89.2252,89.2694,89.3136,89.3577,89.4019,89.4461,89.4903,89.5345,89.5787,89.6229,89.6671,89.7113,89.7555,89.7997,89.8439,89.8881,89.9323,89.9765,90.0207,90.0649,90.1091,90.1533,90.1975,90.2417,90.2858,90.33,90.3742,90.4184,90.4626,90.5068,90.551,90.5952,90.6394,90.6836,90.7278,90.772,90.8162,90.8604,90.9046,90.9488,90.993,91.0372,91.0814,91.1256,91.1697,91.2139,91.2581,91.3023,91.3465,91.3907,91.4349,91.4791,91.5233,91.5675,91.6117,91.6559,91.7001,91.7443,91.7885,91.8327,91.8769,91.9211,91.9653,92.0095,92.0536,92.0978,92.142,92.1862,92.2304,92.2746,92.3188,92.363,92.4072,92.4514,92.4956,92.5398,92.584,92.6282,92.6724,92.7166,92.7608,92.805,92.8492,92.8934,92.9375,92.9817,93.0259,93.0701,93.1143,93.1585,93.2027,93.2469,93.2911,93.3353,93.3795,93.4237,93.4679,93.5121,93.5563,93.6005,93.6447,93.6889,93.7331,93.7773,93.8215,93.8656,93.9098,93.954,93.9982,94.0424,94.0866,94.1308,94.175,94.2192,94.2634,94.3076,94.3518,94.396,94.4402,94.4844,94.5286,94.5728,94.617,94.6612,94.7054,94.7495,94.7937,94.8379,94.8821,94.9263,94.9705,95.0147,95.0589,95.1031,95.1473,95.1915,95.2357,95.2799,95.3241,95.3683,95.4125,95.4567,95.5009,95.5451,95.5893,95.6334,95.6776,95.7218,95.766,95.8102,95.8544,95.8986,95.9428,95.987,96.0312,96.075,96.0982,96.1213,96.1445,96.1677,96.1908,96.214,96.2372,96.2603,96.2835,96.3067,96.3298,96.353,96.3762,96.3993,96.4225,96.4457,96.4689,96.492,96.5152,96.5384,96.5615,96.5847,96.6079,96.631,96.6542,96.6774,96.7005,96.7237,96.7469,96.77,96.7932,96.8164,96.8395,96.8627,96.8859,96.909,96.9322,96.9554,96.9786,97.0017,97.0249,97.0481,97.0712,97.0944,97.1176,97.1407,97.1639,97.1871,97.2102,97.2334,97.2566,97.2797,97.3029,97.3261,97.3492,97.3724,97.3956,97.4187,97.4419,97.4651,97.4882,97.5114,97.5346,97.5578,97.5809,97.6041,97.6273,97.6504,97.6736,97.6968,97.7199,97.7431,97.7663,97.7894,97.8126,97.8358,97.8589,97.8821,97.9053,97.9284,97.9516,97.9748,97.9979,98.0211,98.0443,98.0674,98.0906,98.1138,98.137,98.1601,98.1833,98.2065,98.2296,98.2528,98.276,98.2991,98.3223,98.3455,98.3686,98.3918,98.415,98.4256,98.434,98.4424,98.4507,98.4591,98.4675,98.4759,98.4842,98.4926,98.501,98.5094,98.5177,98.5261,98.5345,98.5429,98.5512,98.5596,98.568,98.5764,98.5847,98.5931,98.6015,98.6099,98.6182,98.6266,98.635,98.6433,98.6517,98.6601,98.6685,98.6768,98.6852,98.6936,98.702,98.7103,98.7187,98.7271,98.7355,98.7438,98.7522,98.7606,98.769,98.7773,98.7857,98.7941,98.8025,98.8108,98.8192,98.8276,98.836,98.8443,98.8527,98.8611,98.8695,98.8778,98.8862,98.8946,98.903,98.9113,98.9197,98.9281,98.9365,98.9448,98.9532,98.9616,98.9699,98.9783,98.9867,98.9951,99.0034,99.0118,99.0202,99.0286,99.0369,99.0453,99.0537,99.0621,99.0704,99.0788,99.0872,99.0956,99.1039,99.1123,99.1207,99.1291,99.1374,99.1458,99.1542,99.1626,99.1709,99.1793,99.1877,99.1961,99.2044,99.2128,99.2212,99.2296,99.2379,99.2463,99.2547,99.2631,99.2714,99.2798,99.2882,99.2966,99.3049,99.3133,99.3217,99.33,99.3384,99.3468,99.3552,99.3635,99.3719,99.3803,99.3887,99.397,99.4054,99.4138,99.4222,99.4305,99.4389,99.4473,99.4557,99.464,99.4724,99.4808,99.4892,99.4975,99.5059,99.5143,99.5227,99.531,99.5394,99.5478,99.5562,99.5645,99.5729,99.5813,99.5897,99.598,99.6064,99.6148,99.6232,99.6315,99.6399,99.6483,99.6566,99.665,99.6734,99.6818,99.6901,99.6985,99.7069,99.7153,99.7236,99.732,99.7404,99.7488,99.7571,99.7655,99.7739,99.7823,99.7906,99.799,99.8074,99.8158,99.8241,99.8325,99.8409,99.8493,99.8576,99.866,99.8744,99.8828,99.8911,99.8995,99.9079,99.9163,99.9246,99.933,99.9414,99.9498,99.9581,99.9665,99.9749,99.9833,99.9916,100]
-					}
-				]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Adult",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					9,
-					7
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 34174,
-			"learningTask": "Classification analysis",
-			"targetVariable": "class",
-			"mainTargetValue": "more",
-			"targetDescriptiveStats": {
-				"values": 2,
-				"mode": "less",
-				"modeFrequency": 26028
-			},
-			"targetValues": {
-				"values": ["less","more"],
-				"frequencies": [26028,8146]
-			},
-			"evaluatedVariables": 15,
-			"informativeVariables": 13,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 10.4392,
-				"dataCost": 18762.8
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "relationship",
-				"type": "Categorical",
-				"level": 0.207419,
-				"parts": 4,
-				"values": 6,
-				"mode": "Husband",
-				"modeFrequency": 13781,
-				"constructionCost": 3.4012,
-				"preparationCost": 46.5087,
-				"dataCost": 14829.9
-			},
-			{
-				"rank": "R02",
-				"name": "marital_status",
-				"type": "Categorical",
-				"level": 0.19789,
-				"parts": 3,
-				"values": 7,
-				"mode": "Married-civ-spouse",
-				"modeFrequency": 15653,
-				"constructionCost": 3.4012,
-				"preparationCost": 39.1965,
-				"dataCost": 15016.2
-			},
-			{
-				"rank": "R03",
-				"name": "capital_gain",
-				"type": "Numerical",
-				"level": 0.135437,
-				"parts": 20,
-				"values": 120,
-				"min": 0,
-				"max": 99999,
-				"mean": 1077.573272,
-				"stdDev": 7458.589277,
-				"missingNumber": 0,
-				"constructionCost": 3.4012,
-				"preparationCost": 232.759,
-				"dataCost": 15995.1
-			},
-			{
-				"rank": "R04",
-				"name": "age",
-				"type": "Numerical",
-				"level": 0.118138,
-				"parts": 10,
-				"values": 74,
-				"min": 17,
-				"max": 90,
-				"mean": 38.65719553,
-				"stdDev": 13.7247169,
-				"missingNumber": 0,
-				"constructionCost": 3.4012,
-				"preparationCost": 106.285,
-				"dataCost": 16446.3
-			},
-			{
-				"rank": "R05",
-				"name": "education_num",
-				"type": "Numerical",
-				"level": 0.114003,
-				"parts": 7,
-				"values": 16,
-				"min": 1,
-				"max": 16,
-				"mean": 10.07233569,
-				"stdDev": 2.570667893,
-				"missingNumber": 0,
-				"constructionCost": 3.4012,
-				"preparationCost": 78.827,
-				"dataCost": 16551.4
-			},
-			{
-				"rank": "R06",
-				"name": "education",
-				"type": "Categorical",
-				"level": 0.113466,
-				"parts": 7,
-				"values": 16,
-				"mode": "HS-grad",
-				"modeFrequency": 11045,
-				"constructionCost": 3.4012,
-				"preparationCost": 88.9034,
-				"dataCost": 16551.4
-			},
-			{
-				"rank": "R07",
-				"name": "occupation",
-				"type": "Categorical",
-				"level": 0.0879994,
-				"parts": 7,
-				"values": 14,
-				"mode": "Prof-specialty",
-				"modeFrequency": 6288,
-				"constructionCost": 3.4012,
-				"preparationCost": 86.5284,
-				"dataCost": 17031.9
-			},
-			{
-				"rank": "R08",
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"level": 0.0667205,
-				"parts": 6,
-				"values": 95,
-				"min": 1,
-				"max": 99,
-				"mean": 40.41060455,
-				"stdDev": 12.43409782,
-				"missingNumber": 0,
-				"constructionCost": 3.4012,
-				"preparationCost": 69.08,
-				"dataCost": 17448.8
-			},
-			{
-				"rank": "R09",
-				"name": "capital_loss",
-				"type": "Numerical",
-				"level": 0.0529043,
-				"parts": 16,
-				"values": 96,
-				"min": 0,
-				"max": 4356,
-				"mean": 88.68692573,
-				"stdDev": 405.648105,
-				"missingNumber": 0,
-				"constructionCost": 3.4012,
-				"preparationCost": 202.197,
-				"dataCost": 17575.1
-			},
-			{
-				"rank": "R10",
-				"name": "sex",
-				"type": "Categorical",
-				"level": 0.0453622,
-				"parts": 2,
-				"values": 2,
-				"mode": "Male",
-				"modeFrequency": 22863,
-				"constructionCost": 3.4012,
-				"preparationCost": 20.8139,
-				"dataCost": 17898.1
-			},
-			{
-				"rank": "R11",
-				"name": "workclass",
-				"type": "Categorical",
-				"level": 0.0206918,
-				"parts": 4,
-				"values": 8,
-				"mode": "Private",
-				"modeFrequency": 25713,
-				"constructionCost": 3.4012,
-				"preparationCost": 47.5643,
-				"dataCost": 18334.5
-			},
-			{
-				"rank": "R12",
-				"name": "race",
-				"type": "Categorical",
-				"level": 0.0106475,
-				"parts": 2,
-				"values": 5,
-				"mode": "White",
-				"modeFrequency": 29231,
-				"constructionCost": 3.4012,
-				"preparationCost": 25.7688,
-				"dataCost": 18544.9
-			},
-			{
-				"rank": "R13",
-				"name": "native_country",
-				"type": "Categorical",
-				"level": 0.0063401,
-				"parts": 3,
-				"values": 41,
-				"mode": "United-States",
-				"modeFrequency": 31267,
-				"constructionCost": 3.4012,
-				"preparationCost": 74.6717,
-				"dataCost": 18576.8
-			},
-			{
-				"rank": "R14",
-				"name": "Label",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 34174,
-				"min": 1,
-				"max": 48842,
-				"mean": 24460.29183,
-				"stdDev": 14094.37599,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 10.4392,
-				"dataCost": 18762.8
-			},
-			{
-				"rank": "R15",
-				"name": "fnlwgt",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 22523,
-				"min": 12285,
-				"max": 1490400,
-				"mean": 189619.5541,
-				"stdDev": 105285.481,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 10.4392,
-				"dataCost": 18762.8
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "relationship",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Husband","Wife"],
-								["Not-in-family"],
-								["Own-child","Other-relative"],
-								["Unmarried"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[8487,6942],
-						[7916,871],
-						[6210,107],
-						[3415,226]
-					],
-					"partInterests": [0.42026,0.144028,0.331951,0.103761]
-				},
-				"inputValues": {
-					"values": ["Husband","Not-in-family","Own-child","Unmarried","Wife","Other-relative"],
-					"frequencies": [13781,8787,5289,3641,1648,1028]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "marital_status",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Married-civ-spouse","Married-AF-spouse"],
-								["Never-married","Separated"],
-								["Divorced","Widowed","Married-spouse-absent"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[8699,6977],
-						[11773,550],
-						[5556,619]
-					],
-					"partInterests": [0.428554,0.467191,0.104255]
-				},
-				"inputValues": {
-					"values": ["Married-civ-spouse","Never-married","Divorced","Separated","Widowed","Married-spouse-absent","Married-AF-spouse"],
-					"frequencies": [15653,11245,4676,1078,1054,445,23]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "capital_gain",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0,57],
-								[57,3040],
-								[3040,3120],
-								[3120,4240],
-								[4240,4400],
-								[4400,4668],
-								[4668,4826],
-								[4826,4932.5],
-								[4932.5,4970],
-								[4970,5119],
-								[5119,5310],
-								[5310,6667],
-								[6667,7070],
-								[7070,7436],
-								[7436,7560],
-								[7560,10543],
-								[10543,10585],
-								[10585,30900],
-								[30900,70000],
-								[70000,99999]
-							]
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[24935,6425],
-						[483,0],
-						[3,103],
-						[327,0],
-						[11,66],
-						[76,0],
-						[0,22],
-						[17,0],
-						[0,8],
-						[87,0],
-						[0,104],
-						[31,28],
-						[37,0],
-						[0,260],
-						[5,0],
-						[2,395],
-						[5,0],
-						[1,564],
-						[8,0],
-						[0,171]
-					],
-					"partInterests": [0.036328,0.0476561,0.0488677,0.032264,0.0239359,0.00749868,0.0114311,0.00167734,0.00415677,0.00858401,0.054038,0.00281621,0.00365067,0.135095,0.000493334,0.200881,0.000493334,0.290493,0.000789334,0.088851]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "age",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[17,20.5],
-								[20.5,23.5],
-								[23.5,26.5],
-								[26.5,28.5],
-								[28.5,31.5],
-								[31.5,35.5],
-								[35.5,42.5],
-								[42.5,55.5],
-								[55.5,61.5],
-								[61.5,90]
-							]
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2523,1],
-						[2485,34],
-						[2341,136],
-						[1538,190],
-						[2222,526],
-						[2776,898],
-						[4024,2008],
-						[4950,3162],
-						[1427,707],
-						[1742,484]
-					],
-					"partInterests": [0.297283,0.238516,0.133666,0.040517,0.00767092,0.000161185,0.0601262,0.200273,0.020585,0.00120059]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "education_num",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,8.5],
-								[8.5,9.5],
-								[9.5,10.5],
-								[10.5,12.5],
-								[12.5,13.5],
-								[13.5,14.5],
-								[14.5,16]
-							]
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[4224,250],
-						[9292,1753],
-						[6226,1437],
-						[1909,671],
-						[3288,2273],
-						[831,1023],
-						[258,739]
-					],
-					"partInterests": [0.248922,0.096573,0.0263235,0.00150022,0.179713,0.191076,0.255893]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "education",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["HS-grad"],
-								["Some-college"],
-								["Bachelors"],
-								["11th","10th","7th-8th","9th","12th","5th-6th","1st-4th","Preschool"],
-								["Assoc-voc","Assoc-acdm"],
-								["Masters"],
-								["Prof-school","Doctorate"]
-							],
-							"defaultGroupIndex": 3
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[9292,1753],
-						[6226,1437],
-						[3288,2273],
-						[4224,250],
-						[1909,671],
-						[831,1023],
-						[258,739]
-					],
-					"partInterests": [0.096573,0.0263235,0.179713,0.248922,0.00150022,0.191076,0.255893]
-				},
-				"inputValues": {
-					"values": ["HS-grad","Some-college","Bachelors","Masters","Assoc-voc","11th","Assoc-acdm","10th","7th-8th","Prof-school","9th","12th","Doctorate","5th-6th","1st-4th","Preschool"],
-					"frequencies": [11045,7663,5561,1854,1465,1265,1115,952,658,577,535,458,420,362,190,54]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "occupation",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Adm-clerical","Machine-op-inspct","Farming-fishing"],
-								["Prof-specialty","Armed-Forces"],
-								["Craft-repair","Transport-moving"],
-								["Sales","Tech-support","Protective-serv"],
-								["Exec-managerial"],
-								["Other-service","Priv-house-serv"],
-								["Handlers-cleaners"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[6177,933],
-						[4161,2140],
-						[4644,1309],
-						[4030,1509],
-						[2222,2018],
-						[3463,138],
-						[1331,99]
-					],
-					"partInterests": [0.149983,0.0960551,0.00333952,0.010052,0.330687,0.325246,0.084638]
-				},
-				"inputValues": {
-					"values": ["Prof-specialty","Craft-repair","Exec-managerial","Adm-clerical","Sales","Other-service","Machine-op-inspct","Transport-moving","Handlers-cleaners","Farming-fishing","Tech-support","Protective-serv","Priv-house-serv","Armed-Forces"],
-					"frequencies": [6288,4290,4240,3917,3852,3430,2140,1663,1430,1053,1003,684,171,13]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "hours_per_week",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,34.5],
-								[34.5,39.5],
-								[39.5,40.5],
-								[40.5,49.5],
-								[49.5,64.5],
-								[64.5,99]
-							]
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[5485,410],
-						[1923,359],
-						[12550,3441],
-						[2163,1118],
-						[3154,2406],
-						[753,412]
-					],
-					"partInterests": [0.45826,0.0349894,0.0187227,0.0674108,0.390525,0.030092]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "capital_loss",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0,70],
-								[70,1457],
-								[1457,1494],
-								[1494,1551],
-								[1551,1568.5],
-								[1568.5,1820.5],
-								[1820.5,1859],
-								[1859,1881],
-								[1881,1927],
-								[1927,1975.5],
-								[1975.5,1978.5],
-								[1978.5,2161],
-								[2161,2176.5],
-								[2176.5,2384],
-								[2384,2450],
-								[2450,4356]
-							]
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[25227,7329],
-						[92,2],
-						[20,33],
-						[23,0],
-						[0,29],
-						[353,3],
-						[2,49],
-						[45,0],
-						[13,372],
-						[19,0],
-						[0,183],
-						[131,0],
-						[0,9],
-						[83,32],
-						[0,71],
-						[20,34]
-					],
-					"partInterests": [0.0135746,0.0155286,0.0150177,0.00533179,0.0354029,0.0707515,0.0530989,0.0104318,0.408768,0.00440452,0.223404,0.030368,0.0109871,0.000414099,0.086676,0.0158399]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "sex",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Male"],
-								["Female"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[15950,6913],
-						[10078,1233]
-					],
-					"partInterests": [0.283758,0.716242]
-				},
-				"inputValues": {
-					"values": ["Male","Female"],
-					"frequencies": [22863,11311]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "workclass",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Private","Without-pay","Never-worked"],
-								["Self-emp-not-inc","Local-gov","State-gov"],
-								["Self-emp-inc"],
-								["Federal-gov"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[20389,5347],
-						[4485,1768],
-						[532,656],
-						[622,375]
-					],
-					"partInterests": [0.164421,0.078268,0.64463,0.112681]
-				},
-				"inputValues": {
-					"values": ["Private","Self-emp-not-inc","Local-gov","State-gov","Self-emp-inc","Federal-gov","Without-pay","Never-worked"],
-					"frequencies": [25713,2698,2216,1339,1188,997,15,8]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "race",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["White","Asian-Pac-Islander"],
-								["Black","Amer-Indian-Eskimo","Other"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[22590,7703],
-						[3438,443]
-					],
-					"partInterests": [0.0972591,0.902741]
-				},
-				"inputValues": {
-					"values": ["White","Black","Asian-Pac-Islander","Amer-Indian-Eskimo","Other"],
-					"frequencies": [29231,3276,1062,335,270]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "native_country",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["United-States","Philippines","Germany","Cuba","China","South","Poland","Portugal","Ireland","Thailand","Yugoslavia","Scotland"],
-								["Mexico","Puerto-Rico","El-Salvador","Dominican-Republic","Jamaica","Columbia","Vietnam","Guatemala","Haiti","Ecuador","Peru","Nicaragua","Laos","Outlying-US","Trinadad&Tobago","Honduras","Holand-Netherlands"],
-								["Canada","India","England","Italy","Japan","Taiwan","Iran","Greece","France","Cambodia","Hong","Hungary"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["less","more"]
-						}
-					],
-					"partTargetFrequencies": [
-						[24257,7816],
-						[1363,98],
-						[408,232]
-					],
-					"partInterests": [0.0138949,0.848593,0.137512]
-				},
-				"inputValues": {
-					"values": ["United-States","Mexico","Philippines","Germany","Puerto-Rico","Canada","El-Salvador","Cuba","India","China","England","South","Italy","Dominican-Republic","Jamaica","Columbia","Japan","Vietnam","Guatemala","Poland","Haiti","Portugal","Taiwan","Iran","Greece","Ecuador","Peru","Nicaragua","France","Ireland","Thailand","Cambodia","Laos","Outlying-US","Hong","Yugoslavia","Hungary","Trinadad&Tobago","Scotland","Honduras","Holand-Netherlands"],
-					"frequencies": [31267,672,203,150,133,121,116,100,98,89,84,82,75,74,69,64,63,63,60,58,52,48,46,38,36,33,31,29,26,24,23,21,20,18,17,16,15,15,13,11,1]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Adult",
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Classification analysis",
+			"targetVariable": "class",
+			"mainTargetValue": "more"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 12
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate relationship",
+				"variables": 1
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R1": {
+				"selectedVariables": [
+					{
+						"preparedName": "Pcapital_gain",
+						"name": "capital_gain",
+						"level": 0.139679,
+						"weight": 0.999542,
+						"importance": 0.373651
+					},
+					{
+						"preparedName": "Prelationship",
+						"name": "relationship",
+						"level": 0.208145,
+						"weight": 0.547394,
+						"importance": 0.337546
+					},
+					{
+						"preparedName": "Peducation_num",
+						"name": "education_num",
+						"level": 0.112569,
+						"weight": 0.726105,
+						"importance": 0.285897
+					},
+					{
+						"preparedName": "Page",
+						"name": "age",
+						"level": 0.117931,
+						"weight": 0.581573,
+						"importance": 0.261888
+					},
+					{
+						"preparedName": "Pmarital_status",
+						"name": "marital_status",
+						"level": 0.197864,
+						"weight": 0.343048,
+						"importance": 0.260532
+					},
+					{
+						"preparedName": "Pcapital_loss",
+						"name": "capital_loss",
+						"level": 0.0536587,
+						"weight": 0.8638,
+						"importance": 0.215291
+					},
+					{
+						"preparedName": "Poccupation",
+						"name": "occupation",
+						"level": 0.090111,
+						"weight": 0.505402,
+						"importance": 0.213406
+					},
+					{
+						"preparedName": "Phours_per_week",
+						"name": "hours_per_week",
+						"level": 0.0717333,
+						"weight": 0.466339,
+						"importance": 0.182899
+					},
+					{
+						"preparedName": "Pworkclass",
+						"name": "workclass",
+						"level": 0.0224888,
+						"weight": 0.135284,
+						"importance": 0.0551578
+					},
+					{
+						"preparedName": "Pnative_country",
+						"name": "native_country",
+						"level": 0.00652175,
+						"weight": 0.422394,
+						"importance": 0.0524857
+					},
+					{
+						"preparedName": "Prace",
+						"name": "race",
+						"level": 0.0102259,
+						"weight": 0.242706,
+						"importance": 0.0498187
+					},
+					{
+						"preparedName": "Psex",
+						"name": "sex",
+						"level": 0.0466409,
+						"weight": 0.0278625,
+						"importance": 0.0360491
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Adult",
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 34291,
+			"learningTask": "Classification analysis",
+			"targetVariable": "class",
+			"mainTargetValue": "more"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 0.86947,
+				"compression": 0.490471,
+				"auc": 0.926153
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate relationship",
+				"accuracy": 0.761628,
+				"compression": 0.209952,
+				"auc": 0.780095
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[24751,3110],
+						[1366,5064]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[26117,8174],
+						[0,0]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "relationship",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Husband","Wife"],
+								["Not-in-family"],
+								["Own-child"],
+								["Unmarried"],
+								["Other-relative"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[8433,6949],
+						[7982,886],
+						[5269,79],
+						[3394,227],
+						[1039,33]
+					],
+					"partInterests": [0.422448,0.142352,0.287464,0.101483,0.0462536]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "less",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.131298,0.262595,0.393893,0.52519,0.656488,0.787786,0.919083,1.05038,1.18168,1.31298,1.44427,1.57557,1.70687,1.83817,1.96946,2.10076,2.23206,2.36336,2.49465,2.62595,2.75725,2.88855,3.01985,3.15114,3.28244,3.41374,3.54504,3.67633,3.80763,3.93893,4.07023,4.20152,4.33282,4.46412,4.59542,4.72671,4.85801,4.98931,5.12061,5.2519,5.3832,5.5145,5.6458,5.7771,5.90839,6.03969,6.17099,6.30229,6.43358,6.56488,6.69618,6.82748,6.95877,7.09007,7.22137,7.35267,7.48396,7.61526,7.74656,7.87786,8.00915,8.14045,8.27175,8.40305,8.53435,8.66564,8.79694,8.92824,9.05954,9.19083,9.32213,9.45343,9.58473,9.71602,9.84732,9.97862,10.1099,10.2412,10.3725,10.5038,10.6351,10.7664,10.8977,11.029,11.1603,11.2916,11.4229,11.5542,11.6855,11.8168,11.9481,12.0794,12.2107,12.342,12.4733,12.6046,12.7359,12.8672,12.9985,13.1298,13.2611,13.3924,13.5237,13.655,13.7863,13.9175,14.0488,14.1801,14.3114,14.4427,14.574,14.7053,14.8366,14.9679,15.0992,15.2305,15.3618,15.4931,15.6244,15.7557,15.887,16.0183,16.1496,16.2809,16.4122,16.5435,16.6748,16.8061,16.9374,17.0687,17.2,17.3313,17.4626,17.5939,17.7252,17.8565,17.9878,18.1191,18.2504,18.3817,18.513,18.6443,18.7756,18.9069,19.0382,19.1695,19.3008,19.432,19.5633,19.6946,19.8259,19.9572,20.0885,20.2198,20.3511,20.4824,20.6137,20.745,20.8763,21.0076,21.1389,21.2702,21.4015,21.5328,21.6641,21.7954,21.9267,22.058,22.1893,22.3206,22.4519,22.5832,22.7145,22.8458,22.9771,23.1084,23.2397,23.371,23.5023,23.6336,23.7649,23.8962,24.0275,24.1588,24.2901,24.4214,24.5527,24.684,24.8153,24.9465,25.0778,25.2091,25.3404,25.4717,25.603,25.7343,25.8656,25.9969,26.1282,26.2595,26.3908,26.5221,26.6534,26.7847,26.916,27.0473,27.1786,27.3099,27.4412,27.5725,27.7038,27.8351,27.9664,28.0977,28.229,28.3603,28.4916,28.6229,28.7542,28.8855,29.0168,29.1481,29.2794,29.4107,29.542,29.6733,29.8046,29.9359,30.0672,30.1985,30.3298,30.461,30.5923,30.7236,30.8549,30.9862,31.1175,31.2488,31.3801,31.5114,31.6427,31.774,31.9053,32.0366,32.1679,32.2992,32.4305,32.5618,32.6931,32.8244,32.9557,33.087,33.2183,33.3496,33.4809,33.6122,33.7435,33.8748,34.0061,34.1374,34.2687,34.4,34.5313,34.6626,34.7939,34.9252,35.0565,35.1878,35.3191,35.4504,35.5817,35.713,35.8443,35.9755,36.1068,36.2381,36.3694,36.5007,36.632,36.7633,36.8946,37.0259,37.1572,37.2885,37.4198,37.5511,37.6824,37.8137,37.945,38.0763,38.2076,38.3389,38.4702,38.6015,38.7328,38.8641,38.9954,39.1267,39.258,39.3893,39.5206,39.6519,39.7832,39.9145,40.0458,40.1771,40.3084,40.4397,40.571,40.7023,40.8336,40.9649,41.0962,41.2275,41.3588,41.49,41.6213,41.7526,41.8839,42.0152,42.1465,42.2778,42.4091,42.5404,42.6717,42.803,42.9343,43.0656,43.1969,43.3282,43.4595,43.5908,43.7221,43.8534,43.9847,44.116,44.2473,44.3786,44.5099,44.6412,44.7725,44.9038,45.0351,45.1664,45.2977,45.429,45.5603,45.6916,45.8229,45.9542,46.0855,46.2168,46.3481,46.4794,46.6107,46.742,46.8733,47.0045,47.1358,47.2671,47.3984,47.5297,47.661,47.7923,47.9236,48.0549,48.1862,48.3175,48.4488,48.5801,48.7114,48.8427,48.974,49.1053,49.2366,49.3679,49.4992,49.6305,49.7618,49.8931,50.0244,50.1557,50.287,50.4183,50.5496,50.6809,50.8122,50.9435,51.0748,51.2061,51.3374,51.4687,51.6,51.7313,51.8626,51.9939,52.1252,52.2565,52.3878,52.519,52.6503,52.7816,52.9129,53.0442,53.1755,53.3068,53.4381,53.5694,53.7007,53.832,53.9633,54.0946,54.2259,54.3572,54.4885,54.6198,54.7511,54.8824,55.0137,55.145,55.2763,55.4076,55.5389,55.6702,55.8015,55.9328,56.0641,56.1954,56.3267,56.458,56.5893,56.7206,56.8519,56.9832,57.1145,57.2458,57.3771,57.5084,57.6397,57.771,57.9023,58.0335,58.1648,58.2961,58.4274,58.5587,58.69,58.8213,58.9526,59.0839,59.2152,59.3465,59.4778,59.6091,59.7404,59.8717,60.003,60.1343,60.2656,60.3969,60.5282,60.6595,60.7908,60.9221,61.0534,61.1847,61.316,61.4473,61.5786,61.7099,61.8412,61.9725,62.1038,62.2351,62.3664,62.4977,62.629,62.7603,62.8916,63.0229,63.1542,63.2855,63.4168,63.548,63.6793,63.8106,63.9419,64.0732,64.2045,64.3358,64.4671,64.5984,64.7297,64.861,64.9923,65.1236,65.2549,65.3862,65.5175,65.6488,65.7801,65.9114,66.0427,66.174,66.3053,66.4366,66.5679,66.6992,66.8305,66.9618,67.0931,67.2244,67.3557,67.487,67.6183,67.7496,67.8809,68.0122,68.1435,68.2748,68.4061,68.5374,68.6687,68.8,68.9313,69.0625,69.1938,69.3251,69.4564,69.5877,69.719,69.8503,69.9816,70.1129,70.2442,70.3755,70.5068,70.6381,70.7694,70.9007,71.032,71.1633,71.2946,71.4259,71.5572,71.6885,71.8198,71.9511,72.0824,72.2137,72.345,72.4763,72.6076,72.7389,72.8702,73.0015,73.1328,73.2641,73.3954,73.5267,73.658,73.7893,73.9206,74.0519,74.1832,74.3145,74.4458,74.577,74.7083,74.8396,74.9709,75.1022,75.2335,75.3648,75.4961,75.6274,75.7587,75.89,76.0213,76.1526,76.2839,76.4152,76.5465,76.6778,76.8091,76.9404,77.0717,77.203,77.3343,77.4656,77.5969,77.7282,77.8595,77.9908,78.1221,78.2534,78.3847,78.516,78.6473,78.7786,78.9099,79.0412,79.1725,79.3038,79.4351,79.5664,79.6977,79.829,79.9603,80.0915,80.2228,80.3541,80.4854,80.6167,80.748,80.8793,81.0106,81.1419,81.2732,81.4045,81.5358,81.6671,81.7984,81.9297,82.061,82.1923,82.3236,82.4549,82.5862,82.7175,82.8488,82.9801,83.1114,83.2427,83.374,83.5053,83.6366,83.7679,83.8992,84.0305,84.1618,84.2931,84.4244,84.5557,84.687,84.8183,84.9496,85.0809,85.2122,85.3435,85.4748,85.606,85.7373,85.8686,85.9999,86.1312,86.2625,86.3938,86.5251,86.6564,86.7877,86.919,87.0503,87.1816,87.3129,87.4442,87.5755,87.7068,87.8381,87.9694,88.1007,88.232,88.3633,88.4946,88.6259,88.7572,88.8885,89.0198,89.1511,89.2824,89.4137,89.545,89.6763,89.8076,89.9389,90.0702,90.2015,90.3328,90.4641,90.5954,90.7267,90.858,90.9893,91.1205,91.2518,91.3831,91.5144,91.6457,91.777,91.9083,92.0396,92.1709,92.3022,92.4335,92.5648,92.6961,92.8274,92.9587,93.09,93.2213,93.3526,93.4839,93.6152,93.7465,93.8778,94.0091,94.1404,94.2717,94.403,94.5343,94.6656,94.7969,94.9282,95.0595,95.1908,95.3221,95.4534,95.5847,95.716,95.8473,95.9786,96.1099,96.2412,96.3725,96.5038,96.635,96.7663,96.8976,97.0289,97.1602,97.2915,97.4228,97.5541,97.6854,97.8167,97.948,98.0793,98.2106,98.3419,98.4732,98.6045,98.7358,98.8671,98.9984,99.1297,99.261,99.3923,99.5236,99.6549,99.7862,99.9175,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.131298,0.262595,0.393893,0.52519,0.656488,0.787786,0.919083,1.05038,1.18168,1.31298,1.44427,1.57557,1.70687,1.83817,1.96946,2.10076,2.23206,2.36336,2.49465,2.62595,2.75725,2.88855,3.01985,3.15114,3.28244,3.41374,3.54504,3.67633,3.80763,3.93893,4.07023,4.20152,4.33282,4.46412,4.59542,4.72671,4.85801,4.98931,5.12061,5.2519,5.3832,5.5145,5.6458,5.7771,5.90839,6.03969,6.17099,6.30229,6.43358,6.56488,6.69618,6.82731,6.95495,7.08624,7.21754,7.34884,7.48014,7.61143,7.74273,7.87403,8.00533,8.13662,8.26792,8.39922,8.53052,8.66181,8.79311,8.92441,9.05571,9.187,9.3183,9.4496,9.5809,9.7122,9.84349,9.97479,10.1061,10.2374,10.3687,10.5,10.6313,10.7626,10.8939,11.0252,11.1565,11.2878,11.4191,11.5504,11.6778,11.8091,11.9404,12.0717,12.203,12.3343,12.4656,12.5969,12.7282,12.8595,12.9908,13.1221,13.2534,13.3847,13.516,13.6435,13.7748,13.9022,14.0335,14.1648,14.2961,14.4274,14.5587,14.69,14.8213,14.9526,15.0839,15.2152,15.3465,15.4778,15.6091,15.7404,15.8717,16.003,16.1343,16.2656,16.3969,16.5282,16.6595,16.7908,16.9221,17.0534,17.1847,17.316,17.4473,17.5786,17.7099,17.8412,17.9686,18.0999,18.2312,18.3625,18.4938,18.6251,18.7564,18.8877,19.019,19.1503,19.2816,19.4129,19.5442,19.6755,19.8068,19.9381,20.0694,20.2007,20.332,20.4633,20.5946,20.7259,20.8572,20.9885,21.1198,21.2511,21.3824,21.5137,21.6373,21.7686,21.8999,22.0312,22.1625,22.2938,22.4251,22.5564,22.6877,22.819,22.9503,23.0816,23.2129,23.3442,23.4755,23.6068,23.7381,23.8655,23.9968,24.1281,24.2594,24.3907,24.522,24.6533,24.7846,24.9159,25.0472,25.1785,25.3098,25.4411,25.5686,25.6999,25.8312,25.9625,26.0899,26.2212,26.3525,26.4838,26.6151,26.7464,26.8777,27.009,27.1403,27.2716,27.4029,27.5342,27.6655,27.7968,27.9281,28.0594,28.1907,28.322,28.4533,28.5808,28.7121,28.8434,28.9747,29.1021,29.2334,29.3647,29.496,29.6235,29.7548,29.8861,30.0136,30.1448,30.2723,30.4036,30.5349,30.6662,30.7937,30.925,31.0563,31.1876,31.3189,31.4463,31.5738,31.7051,31.8364,31.9677,32.099,32.2303,32.3616,32.4929,32.6204,32.7517,32.883,33.0143,33.1455,33.2768,33.4081,33.5394,33.6707,33.802,33.9295,34.057,34.1883,34.3196,34.4509,34.5822,34.7135,34.8448,34.9761,35.1074,35.2387,35.37,35.5012,35.6325,35.7638,35.8951,36.0263,36.1539,36.2852,36.4165,36.5478,36.6791,36.8104,36.9417,37.073,37.2043,37.3356,37.4631,37.5944,37.7256,37.8569,37.9882,38.1195,38.2508,38.3821,38.5134,38.6447,38.7722,38.9035,39.0348,39.1623,39.2936,39.4249,39.5523,39.6798,39.8111,39.9424,40.0737,40.2012,40.3286,40.4599,40.5797,40.711,40.8385,40.9698,41.1011,41.2324,41.3637,41.495,41.6263,41.7499,41.8774,41.998,42.1285,42.2598,42.3911,42.5212,42.6422,42.7658,42.8933,43.0246,43.1521,43.2834,43.4109,43.5383,43.6696,43.8009,43.9322,44.0635,44.1948,44.3261,44.4536,44.581,44.7123,44.8436,44.9749,45.0871,45.2107,45.3382,45.4618,45.5855,45.7168,45.8442,45.9739,46.1013,46.2305,46.3568,46.4854,46.6167,46.7442,46.8755,47.0068,47.1381,47.2694,47.4007,47.532,47.6556,47.7869,47.9144,48.0457,48.1731,48.2968,48.4281,48.5594,48.6907,48.8181,48.9494,49.0731,49.2005,49.328,49.4593,49.5906,49.7181,49.8455,49.9768,50.1005,50.228,50.3587,50.4829,50.6142,50.7417,50.873,51.0004,51.1317,51.2481,51.379,51.5103,51.6339,51.7614,51.8889,52.0198,52.1476,52.2723,52.3873,52.5147,52.6384,52.7658,52.8895,53.0208,53.1521,53.2795,53.4108,53.5383,53.6696,53.7932,53.9207,54.0453,54.1642,54.2955,54.4268,54.5504,54.6779,54.8092,54.929,55.0603,55.1877,55.2999,55.4312,55.5625,55.6938,55.8213,55.9487,56.0724,56.1856,56.3082,56.4356,56.5593,56.6906,56.8219,56.9493,57.073,57.189,57.3203,57.4364,57.5675,57.6912,57.8206,57.9385,58.0621,58.191,58.3094,58.4292,58.5528,58.6803,58.8039,58.9199,59.0321,59.1634,59.2947,59.4217,59.5419,59.6694,59.7854,59.9167,60.033,60.1563,60.2838,60.4151,60.5425,60.6738,60.7975,60.9214,61.0484,61.1684,61.292,61.4119,61.5202,61.6438,61.7637,61.8796,61.9918,62.1231,62.2506,62.3603,62.471,62.587,62.7183,62.8381,62.9617,63.0854,63.2128,63.3365,63.464,63.5799,63.6959,63.8157,63.9432,64.0579,64.1828,64.3103,64.4224,64.5461,64.6735,64.7972,64.917,65.04,65.1643,65.2917,65.4154,65.5352,65.6627,65.7901,65.9138,66.0336,66.1569,66.2758,66.3968,66.5167,66.6365,66.7639,66.8799,67.0024,67.1249,67.2432,67.3542,67.4751,67.5958,67.7186,67.8346,67.9519,68.0704,68.1978,68.3177,68.4382,68.5534,68.6809,68.7951,68.9167,69.0327,69.1448,69.2608,69.373,69.489,69.6203,69.7362,69.8504,69.972,70.088,70.1925,70.304,70.4206,70.529,70.6416,70.7609,70.8731,70.9929,71.1012,71.2287,71.3408,71.4607,71.5766,71.6928,71.8086,71.9198,72.0367,72.1544,72.2671,72.377,72.4853,72.5996,72.7211,72.8371,72.9588,73.0806,73.1889,73.2934,73.4055,73.5177,73.6337,73.7346,73.858,73.9701,74.0823,74.2059,74.3178,74.4226,74.5184,74.6425,74.7514,74.8674,74.9604,75.0725,75.1898,75.2992,75.3975,75.5058,75.6098,75.711,75.8193,75.9267,76.0321,76.1449,76.2645,76.3839,76.4814,76.5816,76.6897,76.7789,76.8834,77.0032,77.1115,77.2084,77.309,77.4285,77.5355,77.6417,77.7576,77.8643,77.9743,78.0588,78.1633,78.2648,78.3616,78.4815,78.601,78.7058,78.8161,78.9212,79.0192,79.1385,79.2474,79.3616,79.4679,79.5762,79.6761,79.7622,79.8593,79.9674,80.056,80.1547,80.254,80.3568,80.4592,80.5608,80.6644,80.7615,80.8734,80.9817,81.0938,81.1838,81.2659,81.3676,81.461,81.5474,81.648,81.7571,81.8663,81.9659,82.039,82.1361,82.2444,82.3327,82.4304,82.5158,82.5993,82.6978,82.7871,82.8867,82.9768,83.0585,83.1421,83.2215,83.3259,83.4037,83.505,83.5991,83.6939,83.7736,83.8688,83.9567,84.0476,84.1365,84.221,84.3108,84.4,84.4701,84.5631,84.6498,84.7455,84.8451,84.9504,85.0243,85.1155,85.2264,85.3148,85.3757,85.4663,85.5604,85.6395,85.7569,85.8575,85.9349,86.0137,86.093,86.181,86.269,86.371,86.4497,86.5389,86.6256,86.6977,86.7801,86.8553,86.9458,87.0429,87.133,87.227,87.3194,87.4194,87.4983,87.5734,87.6537,87.734,87.8143,87.8946,87.976,88.0601,88.1545,88.232,88.318,88.3911,88.4717,88.5477,88.6304,88.7193,88.8092,88.9022,88.9842,89.0664,89.167,89.2868,89.3479,89.4245,89.4819,89.5736,89.6616,89.7454,89.8262,89.8998,89.98,90.0665,90.1568,90.2296,90.2931,90.3744,90.4645,90.5502,90.6289,90.6968,90.784,90.8642,90.9431,91.0313,91.1106,91.1783,91.2586,91.3254,91.4114,91.4855,91.5782,91.6605,91.7455,91.8279,91.9069,91.9734,92.0535,92.1412,92.2228,92.3016,92.374,92.4443,92.5358,92.5938,92.6499,92.748,92.8114,92.8837,92.9778,93.0536,93.1218,93.1868,93.2683,93.317,93.3679,93.4449,93.5073,93.5755,93.6333,93.6879,93.7444,93.8252,93.8924,93.9687,94.0427,94.1405,94.2134,94.2806,94.349,94.4021,94.483,94.5483,94.6165,94.6767,94.7435,94.7982,94.8727,94.9426,95.0119,95.0676,95.1259,95.1896,95.2591,95.3169,95.3755,95.426,95.4623,95.5355,95.5988,95.6576,95.7223,95.8059,95.8694,95.9184,95.9762,96.0572,96.1107,96.1634,96.2247,96.269,96.3381,96.3828,96.4429,96.4949,96.5617,96.6152,96.6716,96.7096,96.7653,96.8258,96.8804,96.935,96.9846,97.0326,97.0847,97.1436,97.1767,97.2309,97.2818,97.3198,97.3792,97.4116,97.4624,97.497,97.5303,97.583,97.6414,97.672,97.7046,97.7564,97.7869,97.8398,97.8969,97.9406,98.0042,98.0511,98.0945,98.153,98.1963,98.2264,98.2607,98.3149,98.3424,98.3804,98.4146,98.4569,98.5029,98.5391,98.5756,98.6103,98.6511,98.6909,98.7214,98.7525,98.7762,98.8205,98.8705,98.9126,98.9624,98.9945,99.0205,99.0543,99.0886,99.1354,99.1691,99.1921,99.2027,99.238,99.2648,99.3015,99.3376,99.3644,99.3974,99.4619,99.4811,99.5176,99.552,99.5761,99.5865,99.605,99.6264,99.6532,99.6805,99.6937,99.714,99.7315,99.7549,99.7779,99.8121,99.8315,99.8468,99.8622,99.8813,99.9004,99.9196,99.9426,99.9464,99.9579,99.9579,99.9655,99.9694,99.9732,99.9732,99.9732,99.9809,99.9809,99.9809,99.9809,99.9847,99.9885,99.9885,99.9923,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.129358,0.258716,0.388074,0.517432,0.646791,0.776149,0.905507,1.03486,1.16422,1.29358,1.42294,1.5523,1.68166,1.81101,1.94037,2.06973,2.19909,2.32845,2.4578,2.58716,2.71652,2.84588,2.97524,3.10459,3.23395,3.36331,3.49267,3.62203,3.75139,3.88074,4.0101,4.13946,4.26882,4.39818,4.52753,4.65689,4.78625,4.91561,5.04497,5.17432,5.30368,5.43304,5.5624,5.69176,5.82111,5.95047,6.07983,6.20919,6.33855,6.46791,6.59726,6.72662,6.85598,6.98534,7.1147,7.24405,7.37341,7.50277,7.63213,7.76149,7.89084,8.0202,8.14956,8.27892,8.40828,8.53764,8.66699,8.79635,8.92571,9.05507,9.18443,9.31378,9.44314,9.5725,9.70186,9.83122,9.96057,10.0899,10.2193,10.3486,10.478,10.6074,10.7367,10.8661,10.9954,11.1248,11.2542,11.3835,11.5129,11.6422,11.7716,11.9009,12.0303,12.1597,12.289,12.4184,12.5477,12.6771,12.8065,12.9358,13.0652,13.1945,13.3239,13.4532,13.5826,13.712,13.8413,13.9707,14.1,14.2294,14.3588,14.4881,14.6175,14.7468,14.8762,15.0055,15.1349,15.2643,15.3936,15.523,15.6523,15.7817,15.911,16.0404,16.1698,16.2991,16.4285,16.5578,16.6872,16.8166,16.9459,17.0753,17.2046,17.334,17.4633,17.5927,17.7221,17.8514,17.9808,18.1101,18.2395,18.3689,18.4982,18.6276,18.7569,18.8863,19.0156,19.145,19.2744,19.4037,19.5331,19.6624,19.7918,19.9211,20.0505,20.1798,20.307,20.4343,20.5615,20.6888,20.8161,20.9433,21.0706,21.1978,21.3251,21.4523,21.5796,21.7068,21.8341,21.9614,22.0886,22.2159,22.3431,22.4704,22.5976,22.7249,22.8522,22.9794,23.1067,23.2339,23.3612,23.4884,23.6157,23.7429,23.8702,23.9975,24.1247,24.2487,24.3718,24.4948,24.6179,24.741,24.864,24.9871,25.1102,25.2332,25.3563,25.4794,25.6024,25.7255,25.8486,25.9716,26.0947,26.2178,26.3408,26.4639,26.587,26.71,26.8331,26.9562,27.0792,27.2023,27.3254,27.4484,27.5715,27.6946,27.8176,27.9407,28.0638,28.1868,28.3099,28.433,28.556,28.6791,28.8022,28.9252,29.0483,29.1714,29.2944,29.4175,29.5406,29.6636,29.7867,29.9098,30.0328,30.1559,30.279,30.402,30.5251,30.6482,30.7712,30.8943,31.0174,31.1404,31.2635,31.3866,31.5096,31.6327,31.7558,31.8788,32.0019,32.125,32.248,32.3711,32.4942,32.6172,32.7403,32.8634,32.9864,33.1095,33.2326,33.3556,33.4787,33.6018,33.7248,33.8479,33.971,34.094,34.2171,34.3402,34.4632,34.5863,34.7094,34.8324,34.9555,35.0786,35.2016,35.3247,35.4478,35.5708,35.6939,35.817,35.94,36.0631,36.1862,36.3092,36.4323,36.5554,36.6784,36.8015,36.9246,37.0476,37.1698,37.288,37.4062,37.5243,37.6425,37.7607,37.8789,37.9971,38.1152,38.2334,38.3516,38.4698,38.588,38.7061,38.8243,38.9425,39.0607,39.1789,39.297,39.4152,39.5334,39.6516,39.7698,39.8879,40.0061,40.1243,40.2425,40.3607,40.4788,40.597,40.7152,40.8334,40.9516,41.0697,41.1879,41.3061,41.4243,41.5425,41.6606,41.7788,41.897,42.0152,42.1333,42.2515,42.3697,42.4879,42.6061,42.7242,42.8424,42.9606,43.0788,43.197,43.3151,43.4333,43.5515,43.6697,43.7879,43.906,44.0242,44.1424,44.2606,44.3788,44.4969,44.6151,44.7333,44.8515,44.9697,45.0878,45.206,45.3242,45.4424,45.5606,45.6787,45.7969,45.9151,46.0333,46.1515,46.2696,46.3878,46.506,46.6242,46.7424,46.8605,46.9787,47.0969,47.2151,47.3333,47.4514,47.5696,47.6878,47.806,47.9242,48.0423,48.1605,48.2787,48.3969,48.5151,48.6332,48.7514,48.8696,48.9878,49.106,49.2241,49.3423,49.4605,49.5787,49.6969,49.815,49.9332,50.0514,50.1696,50.2877,50.4059,50.5241,50.6423,50.7605,50.8786,50.9968,51.115,51.2332,51.3514,51.4695,51.5877,51.7059,51.8241,51.9423,52.0604,52.1786,52.2968,52.415,52.5332,52.6513,52.7695,52.8877,53.0059,53.1241,53.2422,53.3604,53.4786,53.5968,53.715,53.8331,53.9513,54.0695,54.1877,54.3059,54.424,54.5422,54.6604,54.7786,54.8968,55.0149,55.1331,55.2513,55.3695,55.4877,55.6058,55.724,55.8422,55.9604,56.0786,56.1967,56.3149,56.4331,56.5513,56.6695,56.7876,56.9058,57.024,57.1422,57.2604,57.3785,57.4967,57.6149,57.7331,57.8513,57.9694,58.0876,58.2058,58.324,58.4421,58.5603,58.6785,58.7967,58.9149,59.033,59.1512,59.2694,59.3876,59.5058,59.6239,59.7421,59.8603,59.9785,60.0967,60.2148,60.333,60.4512,60.5694,60.6876,60.8057,60.9239,61.0421,61.1603,61.2785,61.3966,61.5148,61.633,61.7512,61.8694,61.9875,62.1057,62.2239,62.3421,62.4603,62.5784,62.6966,62.8148,62.933,63.0512,63.1693,63.2875,63.4057,63.5239,63.6421,63.7602,63.8784,63.9966,64.1148,64.233,64.3511,64.4693,64.5875,64.7057,64.8239,64.942,65.0602,65.1784,65.2966,65.4148,65.5329,65.6511,65.7693,65.8875,66.0057,66.1238,66.242,66.3602,66.4784,66.5965,66.7147,66.8329,66.9511,67.0693,67.1874,67.3056,67.4238,67.542,67.6602,67.7519,67.8239,67.8959,67.9678,68.0398,68.1118,68.1838,68.2558,68.3278,68.3997,68.4717,68.5437,68.6157,68.6877,68.7597,68.8316,68.9036,68.9756,69.0476,69.1196,69.1915,69.2635,69.3355,69.4075,69.4795,69.5515,69.6234,69.6954,69.7674,69.8394,69.9114,69.9834,70.0553,70.1273,70.1993,70.2713,70.3433,70.4152,70.4872,70.5592,70.6312,70.7032,70.7752,70.8471,70.9191,70.9911,71.0631,71.1351,71.2071,71.279,71.351,71.423,71.495,71.567,71.6389,71.7109,71.7829,71.8549,71.9269,71.9989,72.0708,72.1428,72.2148,72.2868,72.3588,72.4308,72.5027,72.5747,72.6467,72.7187,72.7907,72.8626,72.9346,73.0066,73.0786,73.1506,73.2226,73.2945,73.3665,73.4385,73.5105,73.5825,73.6545,73.7264,73.7984,73.8704,73.9424,74.0144,74.0863,74.1583,74.2303,74.3023,74.3743,74.4463,74.5182,74.5902,74.6622,74.7342,74.8062,74.8782,74.9501,75.0221,75.0941,75.1661,75.2381,75.31,75.382,75.454,75.526,75.598,75.67,75.7419,75.8139,75.8859,75.9579,76.0299,76.1019,76.1738,76.2458,76.3178,76.3898,76.4618,76.5337,76.6057,76.6777,76.7497,76.8217,76.8937,76.9656,77.0376,77.1096,77.1816,77.2536,77.3256,77.3975,77.4695,77.5415,77.6135,77.6855,77.7574,77.8294,77.9014,77.9734,78.0454,78.1174,78.1893,78.2613,78.3333,78.4053,78.4773,78.5493,78.6212,78.6932,78.7652,78.8372,78.9092,78.9811,79.0531,79.1251,79.1971,79.2691,79.3411,79.413,79.485,79.557,79.629,79.701,79.773,79.8449,79.9169,79.9889,80.0609,80.1329,80.2048,80.2768,80.3488,80.4208,80.4928,80.5648,80.6367,80.7087,80.7807,80.8527,80.9247,80.9967,81.0686,81.1406,81.2126,81.2846,81.3566,81.4285,81.5005,81.5725,81.6445,81.7165,81.7885,81.8604,81.9324,82.0044,82.0764,82.1484,82.2204,82.2923,82.3643,82.4363,82.5083,82.5803,82.6522,82.7242,82.7962,82.8682,82.9402,83.0122,83.0841,83.1561,83.2281,83.3001,83.3721,83.4441,83.516,83.588,83.66,83.732,83.804,83.8759,83.9479,84.0199,84.0919,84.1639,84.2359,84.3078,84.3798,84.4518,84.5238,84.5958,84.6678,84.7397,84.8117,84.8837,84.9557,85.0277,85.0996,85.1716,85.2436,85.3156,85.3876,85.4596,85.5315,85.6035,85.6755,85.7475,85.8195,85.8915,85.9634,86.0354,86.1074,86.1794,86.2514,86.3233,86.3953,86.4673,86.5393,86.6113,86.6833,86.7552,86.8272,86.8992,86.9712,87.0432,87.1152,87.1871,87.2591,87.3311,87.4031,87.4751,87.547,87.619,87.691,87.763,87.835,87.907,87.9789,88.0509,88.1229,88.1949,88.2669,88.3389,88.4108,88.4828,88.5548,88.6268,88.6988,88.7707,88.8427,88.9147,88.9867,89.0587,89.1307,89.2026,89.2746,89.3466,89.4186,89.4906,89.5626,89.6345,89.7065,89.7785,89.8505,89.9225,89.9945,90.0664,90.1384,90.2104,90.2824,90.3544,90.4263,90.4983,90.5703,90.6423,90.7143,90.7863,90.8582,90.9302,91.0022,91.0742,91.1462,91.2182,91.2901,91.3621,91.4341,91.5061,91.5781,91.65,91.722,91.794,91.866,91.938,92.01,92.0819,92.1539,92.2259,92.2979,92.3699,92.4419,92.5138,92.5858,92.6578,92.7298,92.8018,92.8737,92.9457,93.0177,93.0897,93.1617,93.2337,93.3056,93.3776,93.4496,93.5216,93.5936,93.6656,93.7375,93.8095,93.8815,93.9535,94.0255,94.0974,94.1694,94.2414,94.3134,94.3854,94.4574,94.5293,94.6013,94.6733,94.7453,94.8173,94.8893,94.9612,95.0332,95.1052,95.1772,95.2492,95.3211,95.3931,95.4651,95.5371,95.6091,95.6811,95.753,95.825,95.897,95.969,96.041,96.113,96.1849,96.2569,96.3289,96.4009,96.4729,96.5448,96.6168,96.6888,96.7608,96.8328,96.9048,96.9767,97.0487,97.1207,97.1927,97.2647,97.3367,97.4086,97.4806,97.5526,97.6246,97.6966,97.7685,97.8405,97.9125,97.9845,98.0565,98.1285,98.2004,98.2724,98.3444,98.4164,98.4884,98.5604,98.6323,98.7043,98.7763,98.8483,98.9203,98.9922,99.0642,99.1362,99.2082,99.2802,99.3522,99.4241,99.4961,99.5681,99.6401,99.7121,99.7841,99.856,99.928,100]
+					}
+				]
+			},
+			{
+				"targetValue": "more",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.419513,0.839026,1.25854,1.67805,2.09757,2.51708,2.93659,3.3561,3.77562,4.19513,4.61464,5.03416,5.45367,5.87318,6.2927,6.71221,7.13172,7.55124,7.97075,8.39026,8.80977,9.22929,9.6488,10.0683,10.4878,10.9073,11.3269,11.7464,12.1659,12.5854,13.0049,13.4244,13.8439,14.2634,14.683,15.1025,15.522,15.9415,16.361,16.7805,17.2,17.6195,18.0391,18.4586,18.8781,19.2976,19.7171,20.1366,20.5561,20.9757,21.3952,21.8147,22.2342,22.6537,23.0732,23.4927,23.9122,24.3318,24.7513,25.1708,25.5903,26.0098,26.4293,26.8488,27.2684,27.6879,28.1074,28.5269,28.9464,29.3659,29.7854,30.2049,30.6245,31.044,31.4635,31.883,32.3025,32.722,33.1415,33.561,33.9806,34.4001,34.8196,35.2391,35.6586,36.0781,36.4976,36.9172,37.3367,37.7562,38.1757,38.5952,39.0147,39.4342,39.8537,40.2733,40.6928,41.1123,41.5318,41.9513,42.3708,42.7903,43.2098,43.6294,44.0489,44.4684,44.8879,45.3074,45.7269,46.1464,46.566,46.9855,47.405,47.8245,48.244,48.6635,49.083,49.5025,49.9221,50.3416,50.7611,51.1806,51.6001,52.0196,52.4391,52.8586,53.2782,53.6977,54.1172,54.5367,54.9562,55.3757,55.7952,56.2148,56.6343,57.0538,57.4733,57.8928,58.3123,58.7318,59.1513,59.5709,59.9904,60.4099,60.8294,61.2489,61.6684,62.0879,62.5075,62.927,63.3465,63.766,64.1855,64.605,65.0245,65.444,65.8636,66.2831,66.7026,67.1221,67.5416,67.9611,68.3806,68.8001,69.2197,69.6392,70.0587,70.4782,70.8977,71.3172,71.7367,72.1563,72.5758,72.9953,73.4148,73.8343,74.2538,74.6733,75.0928,75.5124,75.9319,76.3514,76.7709,77.1904,77.6099,78.0294,78.4489,78.8685,79.288,79.7075,80.127,80.5465,80.966,81.3855,81.8051,82.2246,82.6441,83.0636,83.4831,83.9026,84.3221,84.7416,85.1612,85.5807,86.0002,86.4197,86.8392,87.2587,87.6782,88.0977,88.5173,88.9368,89.3563,89.7758,90.1953,90.6148,91.0343,91.4539,91.8734,92.2929,92.7124,93.1319,93.5514,93.9709,94.3904,94.81,95.2295,95.649,96.0685,96.488,96.9075,97.327,97.7466,98.1661,98.5856,99.0051,99.4246,99.8441,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.419513,0.839026,1.25854,1.67805,2.09757,2.51708,2.93659,3.3561,3.77562,4.19513,4.61464,5.03416,5.45367,5.87318,6.2927,6.71221,7.13172,7.55124,7.97075,8.39026,8.80977,9.22929,9.6488,10.0683,10.4878,10.9073,11.3269,11.7464,12.1659,12.5854,13.0049,13.4244,13.8439,14.2634,14.683,15.1025,15.522,15.9415,16.361,16.7805,17.2,17.6195,18.0391,18.4586,18.8659,19.2854,19.7049,20.1244,20.5439,20.9634,21.3707,21.778,22.1975,22.6048,23.0121,23.4316,23.8511,24.2706,24.6656,25.0851,25.5047,25.9119,26.3192,26.7143,27.1338,27.5166,27.9239,28.27,28.6283,28.9867,29.345,29.7156,30.0862,30.4435,30.7539,31.1,31.4448,31.8082,32.1629,32.5401,32.8725,33.2064,33.5576,33.9178,34.3041,34.6468,34.9562,35.2591,35.6172,35.8307,36.1449,36.4787,36.783,37.0853,37.4192,37.7258,38.1114,38.4575,38.7693,39.0392,39.349,39.6608,39.9973,40.314,40.5744,40.8594,41.1194,41.3974,41.7409,42.0611,42.3831,42.6755,42.9648,43.2735,43.5762,43.8801,44.1526,44.4368,44.7471,45.0454,45.3769,45.6233,45.9334,46.2564,46.5378,46.7702,47.0511,47.3208,47.5372,47.8169,48.054,48.3045,48.6268,48.8805,49.196,49.5177,49.7507,50.0019,50.315,50.6239,50.8811,51.1972,51.4266,51.725,51.9819,52.228,52.5419,52.7733,53.0262,53.2924,53.5534,53.7985,54.0436,54.2696,54.5113,54.8093,55.0488,55.2973,55.5035,55.7568,55.9841,56.2608,56.4595,56.7375,56.9613,57.2123,57.461,57.6215,57.8564,58.1193,58.3359,58.4884,58.7011,58.933,59.15,59.3358,59.6392,59.8974,60.1297,60.3645,60.562,60.7778,61.0113,61.2529,61.4509,61.6472,61.8286,62.0733,62.2793,62.5066,62.708,62.919,63.08,63.3298,63.5307,63.7356,63.9222,64.0291,64.2125,64.3881,64.593,64.7541,64.9931,65.2382,65.4729,65.6746,65.8948,66.0683,66.3251,66.5892,66.7482,66.9599,67.1616,67.3388,67.4578,67.6462,67.8633,67.9694,68.2095,68.4437,68.5711,68.7658,68.954,69.1216,69.2806,69.4199,69.5836,69.7905,69.9576,70.1139,70.2616,70.4184,70.5415,70.7244,70.8692,71.0751,71.2381,71.4413,71.6073,71.7453,71.9125,72.076,72.2168,72.4191,72.5874,72.733,72.8646,73.0246,73.2411,73.4279,73.559,73.702,73.8652,74.0496,74.2109,74.3628,74.5013,74.6278,74.8638,75.0387,75.2628,75.2997,75.3976,75.5545,75.7119,75.8344,75.9667,76.102,76.2575,76.434,76.5961,76.7819,76.9268,77.0986,77.2165,77.3673,77.5269,77.6898,77.8527,78.0156,78.1785,78.3582,78.5255,78.6254,78.7497,78.8689,79.0007,79.11,79.2403,79.4196,79.5756,79.7649,79.9074,80.0419,80.2099,80.3036,80.442,80.5804,80.7463,80.9141,81.0864,81.1842,81.2287,81.3956,81.5146,81.6443,81.8693,82.0065,82.0717,82.1997,82.3832,82.4663,82.5675,82.6814,82.8236,82.9459,83.1417,83.2762,83.4087,83.5584,83.6937,83.8228,83.9613,84.0767,84.2417,84.3581,84.4771,84.573,84.744,84.8299,84.9957,85.148,85.3066,85.438,85.5395,85.6737,85.7785,85.931,86.0778,86.185,86.3225,86.3959,86.5053,86.6911,86.7926,86.8632,86.9339,87.0321,87.1756,87.2965,87.3912,87.5484,87.6805,87.7416,87.815,87.8772,87.9863,88.0748,88.1698,88.262,88.3533,88.4553,88.5594,88.6959,88.7701,88.8794,89.0237,89.1241,89.1975,89.2774,89.332,89.4036,89.4421,89.5485,89.6322,89.699,89.784,89.8214,89.8581,89.9682,90.0635,90.1491,90.2985,90.3666,90.4453,90.4943,90.5746,90.6522,90.69,90.7879,90.898,90.9714,91.0081,91.0937,91.2283,91.3024,91.4017,91.5097,91.5476,91.585,91.6442,91.7269,91.8033,91.8769,91.9728,92.0602,92.1336,92.2389,92.309,92.3538,92.415,92.5373,92.5862,92.658,92.6807,92.7942,92.879,92.941,92.9655,93.0267,93.0878,93.1132,93.2102,93.2591,93.3203,93.3815,93.4671,93.5405,93.571,93.6017,93.6506,93.6817,93.7362,93.8096,93.8778,93.9373,93.9809,94.0269,94.091,94.1404,94.1889,94.2378,94.2745,94.3357,94.3479,94.4213,94.458,94.5192,94.5575,94.6171,94.6905,94.7374,94.8006,94.8862,94.9352,94.9659,95.0207,95.0697,95.0697,95.1187,95.1798,95.2288,95.2899,95.3389,95.3698,95.4245,95.4368,95.488,95.5224,95.5591,95.5713,95.6123,95.657,95.7059,95.7331,95.7671,95.8,95.8649,95.9064,95.9346,95.9628,96.0117,96.024,96.0607,96.0974,96.1302,96.1696,96.1953,96.232,96.2564,96.2687,96.2809,96.3176,96.3421,96.3543,96.3767,96.4032,96.4399,96.4644,96.4766,96.5011,96.5623,96.5745,96.5949,96.6479,96.6601,96.6968,96.7458,96.7947,96.8069,96.8314,96.8437,96.8681,96.8926,96.9293,96.9293,96.9782,97.0439,97.1129,97.125,97.125,97.1862,97.2354,97.2718,97.2963,97.3697,97.4064,97.4309,97.4668,97.4808,97.5043,97.5287,97.5287,97.541,97.541,97.5532,97.5788,97.6266,97.6266,97.6756,97.6878,97.7232,97.7367,97.7367,97.7367,97.7979,97.8468,97.8713,97.8835,97.908,97.9447,97.9858,97.9936,98.0181,98.061,98.067,98.0915,98.092,98.1404,98.1404,98.1894,98.2138,98.2261,98.2261,98.2261,98.2506,98.2628,98.2908,98.3484,98.3729,98.3851,98.3974,98.3974,98.3974,98.3974,98.4585,98.4708,98.4708,98.5075,98.5075,98.5197,98.5442,98.5442,98.5442,98.5837,98.6053,98.6176,98.642,98.642,98.6543,98.6543,98.6665,98.6665,98.6665,98.691,98.7032,98.7277,98.7401,98.7921,98.8133,98.8242,98.8255,98.8378,98.85,98.8745,98.8745,98.8758,98.9234,98.9234,98.9356,98.9356,98.9479,98.9479,98.9707,98.9724,98.9846,99.0091,99.0091,99.0213,99.0335,99.0335,99.0335,99.0458,99.058,99.0825,99.0825,99.0947,99.0947,99.0947,99.0947,99.1192,99.1314,99.1314,99.1436,99.1436,99.1681,99.1681,99.1681,99.1681,99.1681,99.1681,99.1681,99.1803,99.1803,99.1888,99.2048,99.2115,99.224,99.2293,99.2415,99.2415,99.266,99.2904,99.3027,99.3271,99.3883,99.3883,99.3883,99.3883,99.4005,99.4128,99.4128,99.4128,99.4128,99.4128,99.4128,99.4128,99.425,99.4372,99.4372,99.4495,99.4495,99.4617,99.4862,99.519,99.5229,99.5229,99.5229,99.5253,99.5596,99.5718,99.5963,99.5963,99.5963,99.5963,99.5963,99.5963,99.5963,99.6085,99.6085,99.6452,99.6452,99.6575,99.6697,99.6697,99.6697,99.6697,99.6819,99.6942,99.6942,99.6942,99.7064,99.7064,99.7064,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7428,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7553,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.792,99.8043,99.8043,99.8043,99.8043,99.8043,99.8165,99.8165,99.8165,99.8165,99.8287,99.8287,99.841,99.841,99.841,99.8532,99.8532,99.8532,99.8532,99.8654,99.8654,99.8654,99.8654,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8899,99.8899,99.8899,99.8899,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9633,99.9633,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9995,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.18952,0.37904,0.56856,0.75808,0.9476,1.13712,1.32664,1.51616,1.70568,1.8952,2.08472,2.27424,2.46376,2.65328,2.8428,3.03232,3.22184,3.41136,3.60088,3.7904,3.97992,4.16944,4.35896,4.54848,4.738,4.92752,5.11704,5.30656,5.49608,5.6856,5.87512,6.06464,6.25416,6.44368,6.6332,6.82272,7.01224,7.20176,7.39128,7.5808,7.77032,7.95984,8.14936,8.33888,8.5284,8.71792,8.90744,9.09696,9.28648,9.476,9.66552,9.85504,10.0446,10.2341,10.4236,10.6131,10.8026,10.9922,11.1817,11.3712,11.5607,11.7502,11.9398,12.1293,12.3188,12.5083,12.6978,12.8874,13.0769,13.2664,13.4559,13.6454,13.835,14.0245,14.214,14.4035,14.593,14.7826,14.9721,15.1616,15.3511,15.5406,15.7302,15.9197,16.1092,16.2987,16.4882,16.6778,16.8673,17.0568,17.2463,17.4358,17.6254,17.8149,18.0044,18.1939,18.3834,18.573,18.7625,18.952,19.1415,19.331,19.5206,19.7101,19.8996,20.0891,20.2786,20.4682,20.6577,20.8472,21.0367,21.2262,21.4158,21.6053,21.7948,21.9843,22.1738,22.3634,22.5529,22.7424,22.9319,23.1214,23.311,23.5005,23.69,23.8795,24.069,24.2586,24.4481,24.6376,24.8271,25.0166,25.2062,25.3957,25.5852,25.7747,25.9642,26.1538,26.3433,26.5328,26.7223,26.9118,27.1014,27.2909,27.4804,27.6699,27.8594,28.049,28.2385,28.428,28.6175,28.807,28.9966,29.1861,29.3756,29.5651,29.7546,29.9442,30.1337,30.3232,30.5127,30.7022,30.8918,31.0813,31.2708,31.4603,31.6498,31.8394,32.0289,32.2184,32.4079,32.5974,32.787,32.9765,33.166,33.3555,33.545,33.7346,33.9241,34.1136,34.3031,34.4926,34.6822,34.8717,35.0612,35.2507,35.4402,35.6298,35.8193,36.0088,36.1983,36.3878,36.5774,36.7669,36.9564,37.1459,37.3354,37.525,37.7145,37.904,38.0935,38.283,38.4726,38.6621,38.8516,39.0411,39.2306,39.4202,39.6097,39.7992,39.9887,40.1782,40.3678,40.5573,40.7468,40.9363,41.1258,41.3154,41.5049,41.6944,41.8839,42.0734,42.263,42.4525,42.642,42.8315,43.021,43.2106,43.4001,43.5896,43.7791,43.9686,44.1582,44.3477,44.5372,44.7267,44.9162,45.1058,45.2953,45.4848,45.6743,45.8638,46.0534,46.2429,46.4324,46.6219,46.8114,47.001,47.1905,47.38,47.5695,47.759,47.9486,48.1381,48.3276,48.5171,48.7066,48.8962,49.0857,49.2752,49.4647,49.6542,49.8438,50.0333,50.2228,50.4123,50.6018,50.7914,50.9809,51.1704,51.3599,51.5494,51.739,51.9285,52.118,52.3075,52.497,52.6866,52.8761,53.0656,53.2551,53.4446,53.6342,53.8237,54.0132,54.2027,54.3922,54.5818,54.7713,54.9608,55.1503,55.3398,55.5294,55.7189,55.9084,56.0979,56.2874,56.477,56.6665,56.856,57.0455,57.235,57.4246,57.6141,57.8036,57.9931,58.1826,58.3722,58.5617,58.7512,58.9407,59.1302,59.3198,59.5093,59.6988,59.8883,60.0778,60.2674,60.4569,60.6464,60.8359,61.0254,61.215,61.4045,61.594,61.7835,61.973,62.1626,62.3521,62.5416,62.7311,62.9206,63.1102,63.2997,63.4892,63.6787,63.8682,64.0578,64.2473,64.4368,64.6263,64.8158,65.0054,65.1949,65.3844,65.5739,65.7634,65.953,66.1425,66.332,66.5215,66.711,66.9006,67.0901,67.2796,67.4691,67.6586,67.8482,68.0377,68.2272,68.4167,68.6062,68.7958,68.9853,69.1748,69.3643,69.5538,69.7434,69.9329,70.1224,70.3119,70.5014,70.691,70.8805,71.07,71.2595,71.449,71.6386,71.8281,72.0176,72.2071,72.3966,72.5862,72.7757,72.9652,73.1547,73.3442,73.5338,73.7233,73.9128,74.1023,74.2918,74.4814,74.6709,74.8604,75.0499,75.2394,75.429,75.6185,75.808,75.9975,76.187,76.3766,76.5661,76.7556,76.9451,77.1346,77.3242,77.5137,77.7032,77.8927,78.0822,78.2718,78.4613,78.6508,78.8403,79.0298,79.2194,79.4089,79.5984,79.7879,79.9774,80.167,80.3565,80.546,80.7355,80.925,81.1146,81.3041,81.4936,81.6831,81.8726,82.0622,82.2517,82.4412,82.6307,82.8202,83.0098,83.1993,83.3888,83.5783,83.7678,83.9574,84.1469,84.3364,84.5259,84.7154,84.905,85.0314,85.0733,85.1152,85.1571,85.199,85.2409,85.2829,85.3248,85.3667,85.4086,85.4505,85.4924,85.5343,85.5762,85.6182,85.6601,85.702,85.7439,85.7858,85.8277,85.8696,85.9116,85.9535,85.9954,86.0373,86.0792,86.1211,86.163,86.205,86.2469,86.2888,86.3307,86.3726,86.4145,86.4564,86.4983,86.5403,86.5822,86.6241,86.666,86.7079,86.7498,86.7917,86.8337,86.8756,86.9175,86.9594,87.0013,87.0432,87.0851,87.127,87.169,87.2109,87.2528,87.2947,87.3366,87.3785,87.4204,87.4624,87.5043,87.5462,87.5881,87.63,87.6719,87.7138,87.7557,87.7977,87.8396,87.8815,87.9234,87.9653,88.0072,88.0491,88.0911,88.133,88.1749,88.2168,88.2587,88.3006,88.3425,88.3845,88.4264,88.4683,88.5102,88.5521,88.594,88.6359,88.6778,88.7198,88.7617,88.8036,88.8455,88.8874,88.9293,88.9712,89.0132,89.0551,89.097,89.1389,89.1808,89.2227,89.2646,89.3065,89.3485,89.3904,89.4323,89.4742,89.5161,89.558,89.5999,89.6419,89.6838,89.7257,89.7676,89.8095,89.8514,89.8933,89.9353,89.9772,90.0191,90.061,90.1029,90.1448,90.1867,90.2286,90.2706,90.3125,90.3544,90.3963,90.4382,90.4801,90.522,90.564,90.6059,90.6478,90.6897,90.7316,90.7735,90.8154,90.8573,90.8993,90.9412,90.9831,91.025,91.0669,91.1088,91.1507,91.1927,91.2346,91.2765,91.3184,91.3603,91.4022,91.4441,91.486,91.528,91.5699,91.6118,91.6537,91.6956,91.7375,91.7794,91.8214,91.8633,91.9052,91.9471,91.989,92.0309,92.0728,92.1148,92.1567,92.1986,92.2405,92.2824,92.3243,92.3662,92.4081,92.4501,92.492,92.5339,92.5758,92.6177,92.6596,92.7015,92.7435,92.7854,92.8273,92.8692,92.9111,92.953,92.9949,93.0368,93.0788,93.1207,93.1626,93.2045,93.2464,93.2883,93.3302,93.3722,93.4141,93.456,93.4979,93.5398,93.5817,93.6236,93.6655,93.7075,93.7494,93.7913,93.8332,93.8751,93.917,93.9589,94.0009,94.0428,94.0847,94.1266,94.1685,94.2104,94.2523,94.2943,94.3362,94.3781,94.42,94.4619,94.5038,94.5457,94.5876,94.6296,94.6715,94.7134,94.7553,94.7972,94.8391,94.881,94.923,94.9649,95.0068,95.0487,95.0906,95.1325,95.1744,95.2163,95.2583,95.3002,95.3421,95.384,95.4259,95.4678,95.5097,95.5517,95.5936,95.6355,95.6774,95.7193,95.7612,95.8031,95.845,95.8742,95.9005,95.9268,95.9531,95.9794,96.0057,96.032,96.0583,96.0846,96.1109,96.1372,96.1635,96.1898,96.2161,96.2424,96.2687,96.295,96.3213,96.3476,96.3739,96.4002,96.4265,96.4528,96.4791,96.5054,96.5317,96.558,96.5843,96.6106,96.6369,96.6632,96.6895,96.7158,96.7421,96.7684,96.7947,96.821,96.8473,96.8736,96.8999,96.9262,96.9525,96.9788,97.0051,97.0314,97.0577,97.084,97.1103,97.1366,97.1629,97.1892,97.2155,97.2418,97.2681,97.2944,97.3207,97.347,97.3733,97.3996,97.4259,97.4522,97.4785,97.5048,97.5311,97.5573,97.5836,97.6099,97.6362,97.6625,97.6888,97.7151,97.7414,97.7677,97.794,97.8203,97.8466,97.8729,97.8992,97.9255,97.9518,97.9781,98.0044,98.0307,98.057,98.0833,98.1096,98.1359,98.1622,98.1885,98.2148,98.2411,98.2674,98.2937,98.32,98.3463,98.3726,98.3989,98.4252,98.4515,98.4778,98.5041,98.5304,98.5567,98.583,98.6093,98.6327,98.6456,98.6585,98.6714,98.6843,98.6972,98.7101,98.7231,98.736,98.7489,98.7618,98.7747,98.7876,98.8005,98.8135,98.8264,98.8393,98.8522,98.8651,98.878,98.8909,98.9039,98.9168,98.9297,98.9426,98.9555,98.9684,98.9813,98.9943,99.0072,99.0201,99.033,99.0395,99.0457,99.0519,99.0581,99.0643,99.0705,99.0766,99.0828,99.089,99.0952,99.1014,99.1076,99.1138,99.12,99.1262,99.1324,99.1386,99.1448,99.151,99.1572,99.1634,99.1696,99.1758,99.182,99.1882,99.1944,99.2006,99.2068,99.213,99.2192,99.2254,99.2316,99.2378,99.244,99.2502,99.2564,99.2626,99.2688,99.275,99.2811,99.2873,99.2935,99.2997,99.3059,99.3121,99.3183,99.3245,99.3307,99.3369,99.3431,99.3493,99.3555,99.3617,99.3679,99.3741,99.3803,99.3865,99.3927,99.3989,99.4051,99.4113,99.4175,99.4237,99.4299,99.4361,99.4423,99.4485,99.4547,99.4609,99.4671,99.4733,99.4795,99.4856,99.4918,99.498,99.5042,99.5104,99.5166,99.5228,99.529,99.5352,99.5414,99.5476,99.5538,99.56,99.5662,99.5724,99.5786,99.5848,99.591,99.5972,99.6034,99.6096,99.6158,99.622,99.6282,99.6344,99.6406,99.6468,99.653,99.6592,99.6654,99.6716,99.6778,99.684,99.6902,99.6963,99.7025,99.7087,99.7149,99.7211,99.7273,99.7335,99.7397,99.7459,99.7521,99.7583,99.7645,99.7707,99.7769,99.7831,99.7893,99.7955,99.8017,99.8079,99.8141,99.8203,99.8265,99.8327,99.8389,99.8451,99.8513,99.8575,99.8637,99.8699,99.8761,99.8823,99.8885,99.8947,99.9008,99.907,99.9132,99.9194,99.9256,99.9318,99.938,99.9442,99.9504,99.9566,99.9628,99.969,99.9752,99.9814,99.9876,99.9938,100]
+					}
+				]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Adult",
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 14551,
+			"learningTask": "Classification analysis",
+			"targetVariable": "class",
+			"mainTargetValue": "more"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 0.86592,
+				"compression": 0.473744,
+				"auc": 0.921511
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate relationship",
+				"accuracy": 0.758573,
+				"compression": 0.204368,
+				"auc": 0.775895
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[10462,1375],
+						[576,2138]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[11038,3513],
+						[0,0]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "relationship",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Husband","Wife"],
+								["Not-in-family"],
+								["Own-child"],
+								["Unmarried"],
+								["Other-relative"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[3675,2990],
+						[3325,390],
+						[2201,32],
+						[1422,82],
+						[415,19]
+					],
+					"partInterests": [0.4132,0.136783,0.295224,0.116129,0.0386637]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "less",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.131826,0.263653,0.395479,0.527306,0.659132,0.790959,0.922785,1.05461,1.18644,1.31826,1.45009,1.58192,1.71374,1.84557,1.9774,2.10922,2.24105,2.37288,2.5047,2.63653,2.76835,2.90018,3.03201,3.16383,3.29566,3.42749,3.55931,3.69114,3.82297,3.95479,4.08662,4.21845,4.35027,4.4821,4.61392,4.74575,4.87758,5.0094,5.14123,5.27306,5.40488,5.53671,5.66854,5.80036,5.93219,6.06402,6.19584,6.32767,6.45949,6.59132,6.72315,6.85497,6.9868,7.11863,7.25045,7.38228,7.51411,7.64593,7.77776,7.90959,8.04141,8.17324,8.30506,8.43689,8.56872,8.70054,8.83237,8.9642,9.09602,9.22785,9.35968,9.4915,9.62333,9.75515,9.88698,10.0188,10.1506,10.2825,10.4143,10.5461,10.6779,10.8098,10.9416,11.0734,11.2052,11.3371,11.4689,11.6007,11.7326,11.8644,11.9962,12.128,12.2599,12.3917,12.5235,12.6553,12.7872,12.919,13.0508,13.1826,13.3145,13.4463,13.5781,13.7099,13.8418,13.9736,14.1054,14.2373,14.3691,14.5009,14.6327,14.7646,14.8964,15.0282,15.16,15.2919,15.4237,15.5555,15.6873,15.8192,15.951,16.0828,16.2146,16.3465,16.4783,16.6101,16.742,16.8738,17.0056,17.1374,17.2693,17.4011,17.5329,17.6647,17.7966,17.9284,18.0602,18.192,18.3239,18.4557,18.5875,18.7194,18.8512,18.983,19.1148,19.2467,19.3785,19.5103,19.6421,19.774,19.9058,20.0376,20.1694,20.3013,20.4331,20.5649,20.6967,20.8286,20.9604,21.0922,21.2241,21.3559,21.4877,21.6195,21.7514,21.8832,22.015,22.1468,22.2787,22.4105,22.5423,22.6741,22.806,22.9378,23.0696,23.2014,23.3333,23.4651,23.5969,23.7288,23.8606,23.9924,24.1242,24.2561,24.3879,24.5197,24.6515,24.7834,24.9152,25.047,25.1788,25.3107,25.4425,25.5743,25.7062,25.838,25.9698,26.1016,26.2335,26.3653,26.4971,26.6289,26.7608,26.8926,27.0244,27.1562,27.2881,27.4199,27.5517,27.6835,27.8154,27.9472,28.079,28.2109,28.3427,28.4745,28.6063,28.7382,28.87,29.0018,29.1336,29.2655,29.3973,29.5291,29.6609,29.7928,29.9246,30.0564,30.1882,30.3201,30.4519,30.5837,30.7156,30.8474,30.9792,31.111,31.2429,31.3747,31.5065,31.6383,31.7702,31.902,32.0338,32.1656,32.2975,32.4293,32.5611,32.693,32.8248,32.9566,33.0884,33.2203,33.3521,33.4839,33.6157,33.7476,33.8794,34.0112,34.143,34.2749,34.4067,34.5385,34.6703,34.8022,34.934,35.0658,35.1977,35.3295,35.4613,35.5931,35.725,35.8568,35.9886,36.1204,36.2523,36.3841,36.5159,36.6477,36.7796,36.9114,37.0432,37.175,37.3069,37.4387,37.5705,37.7024,37.8342,37.966,38.0978,38.2297,38.3615,38.4933,38.6251,38.757,38.8888,39.0206,39.1524,39.2843,39.4161,39.5479,39.6798,39.8116,39.9434,40.0752,40.2071,40.3389,40.4707,40.6025,40.7344,40.8662,40.998,41.1298,41.2617,41.3935,41.5253,41.6571,41.789,41.9208,42.0526,42.1845,42.3163,42.4481,42.5799,42.7118,42.8436,42.9754,43.1072,43.2391,43.3709,43.5027,43.6345,43.7664,43.8982,44.03,44.1618,44.2937,44.4255,44.5573,44.6892,44.821,44.9528,45.0846,45.2165,45.3483,45.4801,45.6119,45.7438,45.8756,46.0074,46.1392,46.2711,46.4029,46.5347,46.6666,46.7984,46.9302,47.062,47.1939,47.3257,47.4575,47.5893,47.7212,47.853,47.9848,48.1166,48.2485,48.3803,48.5121,48.6439,48.7758,48.9076,49.0394,49.1713,49.3031,49.4349,49.5667,49.6986,49.8304,49.9622,50.094,50.2259,50.3577,50.4895,50.6213,50.7532,50.885,51.0168,51.1487,51.2805,51.4123,51.5441,51.676,51.8078,51.9396,52.0714,52.2033,52.3351,52.4669,52.5987,52.7306,52.8624,52.9942,53.126,53.2579,53.3897,53.5215,53.6534,53.7852,53.917,54.0488,54.1807,54.3125,54.4443,54.5761,54.708,54.8398,54.9716,55.1034,55.2353,55.3671,55.4989,55.6307,55.7626,55.8944,56.0262,56.1581,56.2899,56.4217,56.5535,56.6854,56.8172,56.949,57.0808,57.2127,57.3445,57.4763,57.6081,57.74,57.8718,58.0036,58.1355,58.2673,58.3991,58.5309,58.6628,58.7946,58.9264,59.0582,59.1901,59.3219,59.4537,59.5855,59.7174,59.8492,59.981,60.1128,60.2447,60.3765,60.5083,60.6402,60.772,60.9038,61.0356,61.1675,61.2993,61.4311,61.5629,61.6948,61.8266,61.9584,62.0902,62.2221,62.3539,62.4857,62.6175,62.7494,62.8812,63.013,63.1449,63.2767,63.4085,63.5403,63.6722,63.804,63.9358,64.0676,64.1995,64.3313,64.4631,64.5949,64.7268,64.8586,64.9904,65.1223,65.2541,65.3859,65.5177,65.6496,65.7814,65.9132,66.045,66.1769,66.3087,66.4405,66.5723,66.7042,66.836,66.9678,67.0996,67.2315,67.3633,67.4951,67.627,67.7588,67.8906,68.0224,68.1543,68.2861,68.4179,68.5497,68.6816,68.8134,68.9452,69.077,69.2089,69.3407,69.4725,69.6043,69.7362,69.868,69.9998,70.1317,70.2635,70.3953,70.5271,70.659,70.7908,70.9226,71.0544,71.1863,71.3181,71.4499,71.5817,71.7136,71.8454,71.9772,72.1091,72.2409,72.3727,72.5045,72.6364,72.7682,72.9,73.0318,73.1637,73.2955,73.4273,73.5591,73.691,73.8228,73.9546,74.0864,74.2183,74.3501,74.4819,74.6138,74.7456,74.8774,75.0092,75.1411,75.2729,75.4047,75.5365,75.6684,75.8002,75.932,76.0638,76.1957,76.3275,76.4593,76.5911,76.723,76.8548,76.9866,77.1185,77.2503,77.3821,77.5139,77.6458,77.7776,77.9094,78.0412,78.1731,78.3049,78.4367,78.5685,78.7004,78.8322,78.964,79.0959,79.2277,79.3595,79.4913,79.6232,79.755,79.8868,80.0186,80.1505,80.2823,80.4141,80.5459,80.6778,80.8096,80.9414,81.0732,81.2051,81.3369,81.4687,81.6006,81.7324,81.8642,81.996,82.1279,82.2597,82.3915,82.5233,82.6552,82.787,82.9188,83.0506,83.1825,83.3143,83.4461,83.5779,83.7098,83.8416,83.9734,84.1053,84.2371,84.3689,84.5007,84.6326,84.7644,84.8962,85.028,85.1599,85.2917,85.4235,85.5553,85.6872,85.819,85.9508,86.0827,86.2145,86.3463,86.4781,86.61,86.7418,86.8736,87.0054,87.1373,87.2691,87.4009,87.5327,87.6646,87.7964,87.9282,88.06,88.1919,88.3237,88.4555,88.5874,88.7192,88.851,88.9828,89.1147,89.2465,89.3783,89.5101,89.642,89.7738,89.9056,90.0374,90.1693,90.3011,90.4329,90.5647,90.6966,90.8284,90.9602,91.0921,91.2239,91.3557,91.4875,91.6194,91.7512,91.883,92.0148,92.1467,92.2785,92.4103,92.5421,92.674,92.8058,92.9376,93.0695,93.2013,93.3331,93.4649,93.5968,93.7286,93.8604,93.9922,94.1241,94.2559,94.3877,94.5195,94.6514,94.7832,94.915,95.0468,95.1787,95.3105,95.4423,95.5742,95.706,95.8378,95.9696,96.1015,96.2333,96.3651,96.4969,96.6288,96.7606,96.8924,97.0242,97.1561,97.2879,97.4197,97.5515,97.6834,97.8152,97.947,98.0789,98.2107,98.3425,98.4743,98.6062,98.738,98.8698,99.0016,99.1335,99.2653,99.3971,99.5289,99.6608,99.7926,99.9244,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.131826,0.263653,0.395479,0.527306,0.659132,0.790959,0.922785,1.05461,1.18644,1.31826,1.45009,1.58192,1.71374,1.84557,1.9774,2.10922,2.24105,2.37288,2.5047,2.63653,2.76835,2.90018,3.03201,3.16383,3.29566,3.42749,3.55931,3.69114,3.82297,3.95479,4.08662,4.21845,4.35027,4.46398,4.59581,4.72763,4.85946,4.99128,5.11405,5.24588,5.3777,5.50953,5.64136,5.77318,5.90501,6.03684,6.16866,6.30049,6.43232,6.56414,6.69597,6.82779,6.95962,7.09145,7.22327,7.3551,7.48693,7.61875,7.75058,7.88241,8.01423,8.14606,8.27789,8.40971,8.54154,8.67336,8.80519,8.93702,9.06884,9.20067,9.3325,9.46432,9.59615,9.72798,9.8598,9.99163,10.1235,10.2553,10.3871,10.5189,10.6508,10.7826,10.9144,11.0462,11.1781,11.3099,11.4417,11.5735,11.7054,11.8372,11.969,12.1009,12.2327,12.3645,12.4963,12.6282,12.76,12.8918,13.0236,13.1555,13.2873,13.4191,13.5509,13.6828,13.8146,13.9464,14.0782,14.2101,14.3419,14.4737,14.6056,14.7374,14.8692,15.001,15.1329,15.2647,15.3965,15.5283,15.6602,15.792,15.9238,16.0556,16.1875,16.3193,16.4511,16.5829,16.7148,16.8466,16.9784,17.1103,17.2421,17.3739,17.5057,17.6376,17.7694,17.9012,18.033,18.1649,18.2967,18.4285,18.5603,18.6922,18.824,18.9558,19.0877,19.2195,19.3513,19.4831,19.615,19.7468,19.8786,20.0104,20.1332,20.265,20.3969,20.5287,20.6605,20.7923,20.9242,21.056,21.1878,21.3196,21.4515,21.5833,21.7151,21.8469,21.9788,22.1106,22.2424,22.3743,22.5061,22.6379,22.7607,22.8925,23.0243,23.1562,23.288,23.4198,23.5516,23.6835,23.8153,23.9471,24.0789,24.2108,24.3426,24.4744,24.6062,24.7381,24.8699,25.0017,25.1335,25.2654,25.3972,25.529,25.6609,25.7927,25.9245,26.0563,26.1882,26.32,26.4518,26.5836,26.7155,26.8473,26.9701,27.1019,27.2337,27.3655,27.4974,27.6292,27.761,27.8928,28.0247,28.1565,28.2883,28.4201,28.5429,28.6747,28.8066,28.9293,29.0612,29.193,29.3248,29.4566,29.5885,29.7203,29.8521,29.9839,30.1158,30.2385,30.3704,30.5022,30.634,30.7658,30.8977,31.0295,31.1523,31.2841,31.4159,31.5477,31.6796,31.8114,31.9432,32.075,32.2069,32.3387,32.4705,32.5933,32.7251,32.8479,32.9797,33.1115,33.2434,33.3752,33.507,33.6388,33.7707,33.9025,34.0343,34.1662,34.2799,34.4117,34.5435,34.6753,34.7981,34.9299,35.0618,35.1936,35.3254,35.4572,35.58,35.7118,35.8346,35.9664,36.0983,36.221,36.3528,36.4847,36.6165,36.7483,36.8802,37.012,37.1347,37.2575,37.3893,37.5212,37.653,37.7848,37.9166,38.0485,38.1712,38.3031,38.4349,38.5667,38.6985,38.8304,38.9622,39.094,39.2258,39.3577,39.4895,39.6213,39.7532,39.885,40.0168,40.1396,40.2714,40.4032,40.5351,40.6669,40.7987,40.9305,41.0624,41.1942,41.3209,41.4488,41.5715,41.7034,41.8352,41.967,42.0988,42.2307,42.3625,42.4943,42.608,42.7308,42.8626,42.9854,43.1172,43.249,43.3718,43.5036,43.6355,43.7582,43.8901,44.0219,44.1537,44.2855,44.4083,44.5401,44.6629,44.7947,44.9175,45.0493,45.1811,45.3039,45.4267,45.5585,45.6903,45.8131,45.9359,46.0586,46.1814,46.3132,46.4451,46.5678,46.6906,46.8134,46.9452,47.077,47.2088,47.3407,47.4725,47.6043,47.7361,47.8589,47.9817,48.1044,48.2363,48.3681,48.4999,48.6227,48.7545,48.8863,49.0182,49.1409,49.2728,49.4046,49.5364,49.6682,49.8001,49.9319,50.0637,50.1955,50.3274,50.4592,50.591,50.7228,50.8456,50.9774,51.1093,51.2411,51.3729,51.5047,51.6366,51.7503,51.8821,52.013,52.1367,52.2685,52.4004,52.5231,52.6459,52.7777,52.9095,53.0323,53.1641,53.2778,53.4006,53.5234,53.6461,53.778,53.9098,54.0416,54.1734,54.3053,54.4371,54.5689,54.6826,54.8145,54.9372,55.0691,55.2009,55.3236,55.4464,55.5782,55.6919,55.8238,55.9556,56.0874,56.1978,56.3238,56.4376,56.5694,56.6922,56.7968,56.9106,57.0424,57.1742,57.297,57.4288,57.5606,57.6834,57.8062,57.9289,58.0517,58.1745,58.3063,58.4381,58.5699,58.6927,58.8155,58.9473,59.0701,59.1838,59.3133,59.4384,59.543,59.6748,59.7885,59.9204,60.0381,60.1659,60.2917,60.3933,60.5161,60.6479,60.7616,60.8844,61.0162,61.1409,61.2527,61.3755,61.4892,61.6119,61.7438,61.8665,61.9893,62.1211,62.2529,62.3756,62.4985,62.6122,62.735,62.8577,62.9807,63.0942,63.226,63.3448,63.4534,63.5532,63.6718,63.8036,63.9354,64.0491,64.1783,64.3037,64.4265,64.5402,64.6539,64.7676,64.8995,65.0222,65.145,65.2678,65.3815,65.4861,65.6089,65.7135,65.8435,65.9409,66.0546,66.1865,66.3092,66.4139,66.5307,66.6504,66.7731,66.905,67.0096,67.1143,67.2461,67.3688,67.4735,67.6053,67.7338,67.8384,67.9464,68.0783,68.1829,68.3147,68.4214,68.5331,68.6559,68.7795,68.9014,69.006,69.1226,69.2233,69.3474,69.4699,69.5927,69.6973,69.802,69.9248,70.0566,70.1794,70.3069,70.4249,70.5337,70.6342,70.7479,70.8797,70.9913,71.089,71.2118,71.3074,71.4392,71.5438,71.6666,71.7884,71.9031,72.0168,72.1361,72.2533,72.3488,72.4626,72.5831,72.6853,72.7891,72.8993,73.0311,73.1629,73.247,73.345,73.4511,73.5725,73.6842,73.7908,73.8955,74.008,74.1005,74.2094,74.3268,74.4401,74.5596,74.6791,74.787,74.8749,74.9699,75.0828,75.1761,75.2697,75.3786,75.5049,75.597,75.7107,75.8244,75.9288,76.0101,76.1383,76.2521,76.3448,76.4342,76.5207,76.6253,76.7391,76.8519,76.9574,77.0576,77.1686,77.2442,77.351,77.4535,77.5593,77.6628,77.7674,77.8674,77.9855,78.0814,78.1671,78.2635,78.3953,78.5106,78.6137,78.7183,78.8501,78.9367,79.0685,79.159,79.2415,79.319,79.4508,79.5464,79.6581,79.7637,79.8604,79.956,80.0828,80.2105,80.3152,80.4108,80.5245,80.6473,80.7574,80.8607,80.9768,81.0926,81.1672,81.2466,81.3345,81.4301,81.5218,81.6065,81.6897,81.8083,81.874,81.9855,82.072,82.1772,82.2823,82.386,82.5058,82.5965,82.6999,82.8049,82.9092,82.9981,83.0823,83.168,83.2718,83.3937,83.4476,83.5602,83.6816,83.7967,83.8832,83.9969,84.1106,84.2107,84.303,84.3796,84.4748,84.5885,84.6867,84.7797,84.8663,84.9857,85.0879,85.153,85.235,85.3455,85.4126,85.4844,85.5569,85.6337,85.7205,85.8097,85.9063,86.0092,86.1021,86.1741,86.2687,86.3479,86.46,86.5596,86.6693,86.7649,86.8605,86.947,87.0245,87.1131,87.1893,87.235,87.3058,87.3852,87.4646,87.5441,87.6235,87.7003,87.7448,87.8404,87.9281,88.0066,88.0729,88.141,88.2278,88.3221,88.4384,88.5598,88.6077,88.7047,88.7922,88.8901,88.9714,89.0608,89.1578,89.2355,89.3105,89.3731,89.4525,89.5426,89.6398,89.7006,89.7703,89.8355,89.9492,90.0306,90.1156,90.2088,90.3044,90.3657,90.4412,90.5508,90.6233,90.7099,90.7686,90.8437,90.9223,90.9963,91.0429,91.1125,91.1702,91.2285,91.3074,91.4205,91.523,91.5845,91.6636,91.7491,91.8229,91.9205,91.9951,92.0457,92.1137,92.1868,92.2722,92.3537,92.4551,92.5336,92.6013,92.6755,92.7428,92.8248,92.8916,92.9615,92.9989,93.0785,93.1769,93.2506,93.2952,93.3792,93.4137,93.4657,93.5316,93.5743,93.6315,93.6886,93.7851,93.8567,93.9482,94.0021,94.0972,94.1475,94.2018,94.2653,94.3377,94.4121,94.5054,94.5803,94.6173,94.6905,94.7533,94.8225,94.8747,94.9331,94.9719,95.0263,95.0909,95.1568,95.2256,95.3064,95.4003,95.4523,95.5045,95.5885,95.6423,95.6876,95.7302,95.769,95.8054,95.8416,95.8914,95.9232,95.9775,96.0478,96.1242,96.204,96.2708,96.3122,96.3801,96.4422,96.503,96.5577,96.5718,96.6001,96.6543,96.717,96.7838,96.8744,96.9107,96.9547,97.0194,97.0758,97.1195,97.1643,97.2115,97.2404,97.3186,97.3391,97.3999,97.472,97.5358,97.572,97.602,97.6359,97.6749,97.7532,97.8095,97.8448,97.8891,97.9072,97.9527,98.0159,98.0437,98.1036,98.1514,98.2153,98.2491,98.2877,98.333,98.3963,98.4473,98.5052,98.5352,98.5443,98.5575,98.5958,98.6229,98.6773,98.6997,98.7452,98.7498,98.8029,98.8499,98.8675,98.9015,98.9491,98.9768,99.0034,99.0487,99.0759,99.1192,99.1303,99.1393,99.1865,99.2106,99.2299,99.2481,99.2843,99.3115,99.3591,99.3868,99.3986,99.4474,99.5082,99.538,99.5515,99.5923,99.6022,99.6247,99.6467,99.6739,99.701,99.7101,99.7192,99.7443,99.7826,99.8097,99.8227,99.846,99.846,99.855,99.8913,99.9003,99.9185,99.9456,99.9456,99.9547,99.9638,99.9728,99.9728,99.9728,99.9728,99.9819,99.9819,99.9819,99.9819,99.9819,99.9819,99.9819,99.9869,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,99.9909,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.129937,0.259875,0.389812,0.519749,0.649686,0.779624,0.909561,1.0395,1.16944,1.29937,1.42931,1.55925,1.68918,1.81912,1.94906,2.079,2.20893,2.33887,2.46881,2.59875,2.72868,2.85862,2.98856,3.11849,3.24843,3.37837,3.50831,3.63824,3.76818,3.89812,4.02806,4.15799,4.28793,4.41787,4.5478,4.67774,4.80768,4.93762,5.06755,5.19749,5.32743,5.45737,5.5873,5.71724,5.84718,5.97711,6.10705,6.23699,6.36693,6.49686,6.6268,6.75674,6.88668,7.01661,7.14655,7.27649,7.40642,7.53636,7.6663,7.79624,7.92617,8.05611,8.18605,8.31599,8.44592,8.57586,8.7058,8.83574,8.96567,9.09561,9.22555,9.35548,9.48542,9.61536,9.7453,9.87523,10.0052,10.1351,10.265,10.395,10.5249,10.6549,10.7848,10.9147,11.0447,11.1746,11.3045,11.4345,11.5644,11.6944,11.8243,11.9542,12.0842,12.2141,12.344,12.474,12.6039,12.7339,12.8638,12.9937,13.1237,13.2536,13.3835,13.5135,13.6434,13.7734,13.9033,14.0332,14.1632,14.2931,14.423,14.553,14.6829,14.8128,14.9428,15.0727,15.2027,15.3326,15.4625,15.5925,15.7224,15.8523,15.9823,16.1122,16.2422,16.3721,16.502,16.632,16.7619,16.8918,17.0218,17.1517,17.2817,17.4116,17.5415,17.6715,17.8014,17.9313,18.0613,18.1912,18.3212,18.4511,18.581,18.711,18.8409,18.9708,19.1008,19.2307,19.3607,19.4906,19.6205,19.7505,19.8804,20.0082,20.1343,20.2604,20.3864,20.5125,20.6385,20.7646,20.8906,21.0167,21.1427,21.2688,21.3949,21.5209,21.647,21.773,21.8991,22.0251,22.1512,22.2772,22.4033,22.5294,22.6554,22.7815,22.9075,23.0336,23.1596,23.2857,23.4117,23.5378,23.6638,23.7889,23.9135,24.0382,24.1628,24.2874,24.4121,24.5367,24.6614,24.786,24.9106,25.0353,25.1599,25.2846,25.4092,25.5338,25.6585,25.7831,25.9078,26.0324,26.157,26.2817,26.4063,26.531,26.6556,26.7802,26.9049,27.0295,27.1541,27.2788,27.4034,27.5281,27.6527,27.7773,27.902,28.0266,28.1513,28.2759,28.4005,28.5252,28.6498,28.7745,28.8991,29.0237,29.1484,29.273,29.3976,29.5223,29.6469,29.7716,29.8962,30.0208,30.1455,30.2701,30.3948,30.5194,30.644,30.7687,30.8933,31.018,31.1426,31.2672,31.3919,31.5165,31.6412,31.7658,31.8904,32.0151,32.1397,32.2643,32.389,32.5136,32.6383,32.7629,32.8875,33.0122,33.1368,33.2615,33.3861,33.5107,33.6354,33.76,33.8847,34.0093,34.1339,34.2586,34.3832,34.5079,34.6325,34.7571,34.8818,35.0064,35.131,35.2557,35.3803,35.505,35.6296,35.7542,35.8789,36.0035,36.1282,36.2528,36.3774,36.5021,36.6244,36.7424,36.8603,36.9783,37.0963,37.2143,37.3323,37.4503,37.5683,37.6863,37.8042,37.9222,38.0402,38.1582,38.2762,38.3942,38.5122,38.6302,38.7481,38.8661,38.9841,39.1021,39.2201,39.3381,39.4561,39.5741,39.692,39.81,39.928,40.046,40.164,40.282,40.4,40.5179,40.6359,40.7539,40.8719,40.9899,41.1079,41.2259,41.3439,41.4618,41.5798,41.6978,41.8158,41.9338,42.0518,42.1698,42.2878,42.4057,42.5237,42.6417,42.7597,42.8777,42.9957,43.1137,43.2317,43.3496,43.4676,43.5856,43.7036,43.8216,43.9396,44.0576,44.1756,44.2935,44.4115,44.5295,44.6475,44.7655,44.8835,45.0015,45.1195,45.2374,45.3554,45.4734,45.5914,45.7094,45.8274,45.9454,46.0634,46.1813,46.2993,46.4173,46.5353,46.6533,46.7713,46.8893,47.0073,47.1252,47.2432,47.3612,47.4792,47.5972,47.7152,47.8332,47.9511,48.0691,48.1871,48.3051,48.4231,48.5411,48.6591,48.7771,48.895,49.013,49.131,49.249,49.367,49.485,49.603,49.721,49.8389,49.9569,50.0749,50.1929,50.3109,50.4289,50.5469,50.6649,50.7828,50.9008,51.0188,51.1368,51.2548,51.3728,51.4908,51.6088,51.7267,51.8447,51.9627,52.0807,52.1987,52.3167,52.4347,52.5527,52.6706,52.7886,52.9066,53.0246,53.1426,53.2606,53.3786,53.4966,53.6145,53.7325,53.8505,53.9685,54.0865,54.2045,54.3225,54.4405,54.5584,54.6764,54.7944,54.9124,55.0304,55.1484,55.2664,55.3843,55.5023,55.6203,55.7383,55.8563,55.9743,56.0923,56.2103,56.3282,56.4462,56.5642,56.6822,56.8002,56.9182,57.0362,57.1542,57.2721,57.3901,57.5081,57.6261,57.7441,57.8621,57.9801,58.0981,58.216,58.334,58.452,58.57,58.688,58.806,58.924,59.042,59.1599,59.2779,59.3959,59.5139,59.6319,59.7499,59.8679,59.9859,60.1038,60.2218,60.3398,60.4578,60.5758,60.6938,60.8118,60.9298,61.0477,61.1657,61.2837,61.4017,61.5197,61.6377,61.7557,61.8737,61.9916,62.1096,62.2276,62.3456,62.4636,62.5816,62.6996,62.8175,62.9355,63.0535,63.1715,63.2895,63.4075,63.5255,63.6435,63.7614,63.8794,63.9974,64.1154,64.2334,64.3514,64.4694,64.5874,64.7053,64.8233,64.9413,65.0593,65.1773,65.2953,65.4133,65.5313,65.6492,65.7672,65.8852,66.0032,66.1212,66.2392,66.3572,66.4752,66.5931,66.7091,66.7818,66.8545,66.9272,66.9999,67.0726,67.1453,67.2179,67.2906,67.3633,67.436,67.5087,67.5814,67.6541,67.7268,67.7994,67.8721,67.9448,68.0175,68.0902,68.1629,68.2356,68.3083,68.3809,68.4536,68.5263,68.599,68.6717,68.7444,68.8171,68.8898,68.9624,69.0351,69.1078,69.1805,69.2532,69.3259,69.3986,69.4713,69.5439,69.6166,69.6893,69.762,69.8347,69.9074,69.9801,70.0528,70.1254,70.1981,70.2708,70.3435,70.4162,70.4889,70.5616,70.6343,70.7069,70.7796,70.8523,70.925,70.9977,71.0704,71.1431,71.2158,71.2884,71.3611,71.4338,71.5065,71.5792,71.6519,71.7246,71.7973,71.8699,71.9426,72.0153,72.088,72.1607,72.2334,72.3061,72.3788,72.4514,72.5241,72.5968,72.6695,72.7422,72.8149,72.8876,72.9603,73.0329,73.1056,73.1783,73.251,73.3237,73.3964,73.4691,73.5418,73.6144,73.6871,73.7598,73.8325,73.9052,73.9779,74.0506,74.1233,74.1959,74.2686,74.3413,74.414,74.4867,74.5594,74.6321,74.7048,74.7774,74.8501,74.9228,74.9955,75.0682,75.1409,75.2136,75.2863,75.3589,75.4316,75.5043,75.577,75.6497,75.7224,75.7951,75.8678,75.9404,76.0131,76.0858,76.1585,76.2312,76.3039,76.3766,76.4493,76.5219,76.5946,76.6673,76.74,76.8127,76.8854,76.9581,77.0308,77.1034,77.1761,77.2488,77.3215,77.3942,77.4669,77.5396,77.6123,77.6849,77.7576,77.8303,77.903,77.9757,78.0484,78.1211,78.1938,78.2664,78.3391,78.4118,78.4845,78.5572,78.6299,78.7026,78.7753,78.8479,78.9206,78.9933,79.066,79.1387,79.2114,79.2841,79.3568,79.4294,79.5021,79.5748,79.6475,79.7202,79.7929,79.8656,79.9383,80.0109,80.0836,80.1563,80.229,80.3017,80.3744,80.4471,80.5198,80.5924,80.6651,80.7378,80.8105,80.8832,80.9559,81.0286,81.1013,81.1739,81.2466,81.3193,81.392,81.4647,81.5374,81.6101,81.6828,81.7554,81.8281,81.9008,81.9735,82.0462,82.1189,82.1916,82.2643,82.3369,82.4096,82.4823,82.555,82.6277,82.7004,82.7731,82.8458,82.9184,82.9911,83.0638,83.1365,83.2092,83.2819,83.3546,83.4273,83.4999,83.5726,83.6453,83.718,83.7907,83.8634,83.9361,84.0088,84.0814,84.1541,84.2268,84.2995,84.3722,84.4449,84.5176,84.5903,84.6629,84.7356,84.8083,84.881,84.9537,85.0264,85.0991,85.1718,85.2444,85.3171,85.3898,85.4625,85.5352,85.6079,85.6806,85.7533,85.8259,85.8986,85.9713,86.044,86.1167,86.1894,86.2621,86.3348,86.4074,86.4801,86.5528,86.6255,86.6982,86.7709,86.8436,86.9163,86.9889,87.0616,87.1343,87.207,87.2797,87.3524,87.4251,87.4978,87.5704,87.6431,87.7158,87.7885,87.8612,87.9339,88.0066,88.0793,88.1519,88.2246,88.2973,88.37,88.4427,88.5154,88.5881,88.6608,88.7334,88.8061,88.8788,88.9515,89.0242,89.0969,89.1696,89.2423,89.3149,89.3876,89.4603,89.533,89.6057,89.6784,89.7511,89.8238,89.8964,89.9691,90.0418,90.1145,90.1872,90.2599,90.3326,90.4053,90.4779,90.5506,90.6233,90.696,90.7687,90.8414,90.9141,90.9868,91.0594,91.1321,91.2048,91.2775,91.3502,91.4229,91.4956,91.5683,91.6409,91.7136,91.7863,91.859,91.9317,92.0044,92.0771,92.1498,92.2224,92.2951,92.3678,92.4405,92.5132,92.5859,92.6586,92.7313,92.8039,92.8766,92.9493,93.022,93.0947,93.1674,93.2401,93.3128,93.3854,93.4581,93.5308,93.6035,93.6762,93.7489,93.8216,93.8943,93.9669,94.0396,94.1123,94.185,94.2577,94.3304,94.4031,94.4758,94.5484,94.6211,94.6938,94.7665,94.8392,94.9119,94.9846,95.0573,95.1299,95.2026,95.2753,95.348,95.4207,95.4934,95.5661,95.6388,95.7114,95.7841,95.8568,95.9295,96.0022,96.0749,96.1476,96.2203,96.2929,96.3656,96.4383,96.511,96.5837,96.6564,96.7291,96.8018,96.8744,96.9471,97.0198,97.0925,97.1652,97.2379,97.3106,97.3833,97.4559,97.5286,97.6013,97.674,97.7467,97.8194,97.8921,97.9648,98.0374,98.1101,98.1828,98.2555,98.3282,98.4009,98.4736,98.5463,98.6189,98.6916,98.7643,98.837,98.9097,98.9824,99.0551,99.1278,99.2004,99.2731,99.3458,99.4185,99.4912,99.5639,99.6366,99.7093,99.7819,99.8546,99.9273,100]
+					}
+				]
+			},
+			{
+				"targetValue": "more",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.414204,0.828409,1.24261,1.65682,2.07102,2.48523,2.89943,3.31364,3.72784,4.14204,4.55625,4.97045,5.38466,5.79886,6.21307,6.62727,7.04147,7.45568,7.86988,8.28409,8.69829,9.1125,9.5267,9.94091,10.3551,10.7693,11.1835,11.5977,12.0119,12.4261,12.8403,13.2545,13.6687,14.0829,14.4972,14.9114,15.3256,15.7398,16.154,16.5682,16.9824,17.3966,17.8108,18.225,18.6392,19.0534,19.4676,19.8818,20.296,20.7102,21.1244,21.5386,21.9528,22.367,22.7812,23.1954,23.6096,24.0239,24.4381,24.8523,25.2665,25.6807,26.0949,26.5091,26.9233,27.3375,27.7517,28.1659,28.5801,28.9943,29.4085,29.8227,30.2369,30.6511,31.0653,31.4795,31.8937,32.3079,32.7221,33.1364,33.5506,33.9648,34.379,34.7932,35.2074,35.6216,36.0358,36.45,36.8642,37.2784,37.6926,38.1068,38.521,38.9352,39.3494,39.7636,40.1778,40.592,41.0062,41.4204,41.8346,42.2488,42.6631,43.0773,43.4915,43.9057,44.3199,44.7341,45.1483,45.5625,45.9767,46.3909,46.8051,47.2193,47.6335,48.0477,48.4619,48.8761,49.2903,49.7045,50.1187,50.5329,50.9471,51.3613,51.7755,52.1898,52.604,53.0182,53.4324,53.8466,54.2608,54.675,55.0892,55.5034,55.9176,56.3318,56.746,57.1602,57.5744,57.9886,58.4028,58.817,59.2312,59.6454,60.0596,60.4738,60.888,61.3022,61.7165,62.1307,62.5449,62.9591,63.3733,63.7875,64.2017,64.6159,65.0301,65.4443,65.8585,66.2727,66.6869,67.1011,67.5153,67.9295,68.3437,68.7579,69.1721,69.5863,70.0005,70.4147,70.8289,71.2432,71.6574,72.0716,72.4858,72.9,73.3142,73.7284,74.1426,74.5568,74.971,75.3852,75.7994,76.2136,76.6278,77.042,77.4562,77.8704,78.2846,78.6988,79.113,79.5272,79.9414,80.3557,80.7699,81.1841,81.5983,82.0125,82.4267,82.8409,83.2551,83.6693,84.0835,84.4977,84.9119,85.3261,85.7403,86.1545,86.5687,86.9829,87.3971,87.8113,88.2255,88.6397,89.0539,89.4681,89.8824,90.2966,90.7108,91.125,91.5392,91.9534,92.3676,92.7818,93.196,93.6102,94.0244,94.4386,94.8528,95.267,95.6812,96.0954,96.5096,96.9238,97.338,97.7522,98.1664,98.5806,98.9948,99.4091,99.8233,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.414204,0.828409,1.24261,1.65682,2.07102,2.48523,2.89943,3.31364,3.72784,4.14204,4.55625,4.97045,5.38466,5.79886,6.21307,6.62727,7.04147,7.45568,7.86988,8.28409,8.66983,9.08403,9.49824,9.91244,10.3266,10.7408,11.1551,11.5693,11.9835,12.3977,12.8119,13.2261,13.6403,14.0545,14.4687,14.8829,15.2971,15.7113,16.1255,16.5397,16.9539,17.3681,17.7823,18.1965,18.6107,19.0249,19.4391,19.8406,20.2391,20.6533,21.0675,21.4817,21.8959,22.3101,22.7243,23.11,23.5243,23.9385,24.3527,24.7384,25.1241,25.5099,25.9241,26.2529,26.6102,26.9959,27.2962,27.682,28.0962,28.4372,28.8107,29.1395,29.4335,29.7687,30.1544,30.5402,30.869,31.1978,31.5431,31.8865,32.2696,32.5554,32.9272,33.2479,33.471,33.7319,34.1091,34.4362,34.7008,35.0296,35.3299,35.6872,36.0406,36.3792,36.6452,37.0309,37.4103,37.6886,38.0173,38.2892,38.6197,38.9468,39.2115,39.519,39.8777,40.1443,40.3916,40.7915,41.0626,41.4065,41.6499,41.9787,42.2726,42.6454,43.0311,43.3509,43.5833,43.8372,44.0526,44.3245,44.6172,44.9252,45.1388,45.4028,45.6287,45.9558,46.1714,46.4426,46.7999,47.0748,47.3781,47.6155,47.7837,48.0752,48.3829,48.703,49.0033,49.2172,49.4048,49.6279,49.9778,50.1462,50.4697,50.7354,51.0088,51.2857,51.5229,51.7339,52.0096,52.31,52.4395,52.6438,52.8608,53.1047,53.4302,53.8002,54.0423,54.2657,54.4846,54.6853,54.9695,55.174,55.3373,55.5116,55.705,55.9484,56.2627,56.5206,56.8209,57.1206,57.4129,57.6935,57.9654,58.2106,58.3607,58.6109,58.8617,58.9809,59.1412,59.3393,59.5464,59.7575,60.0009,60.2933,60.5238,60.774,60.9709,61.1879,61.372,61.6698,61.8488,61.9698,62.1504,62.3369,62.5518,62.7953,63.0515,63.1668,63.4116,63.5383,63.7276,63.8386,64.0735,64.3079,64.588,64.7951,65.0457,65.3517,65.5018,65.776,65.9587,66.0635,66.2279,66.5243,66.719,66.9233,67.0801,67.2826,67.4637,67.6651,67.8327,67.9283,68.0863,68.2323,68.417,68.6173,68.8727,69.0525,69.16,69.3424,69.488,69.6537,69.8745,69.9668,70.0256,70.1919,70.4228,70.6558,70.8511,71.1191,71.3006,71.468,71.6461,71.8759,72.0182,72.2046,72.2744,72.4514,72.6729,72.7868,72.9081,73.0551,73.2138,73.2707,73.4801,73.675,73.8982,74.0072,74.1381,74.3029,74.5205,74.6991,74.869,74.9787,75.1118,75.2705,75.3772,75.5163,75.626,75.8896,75.9224,75.9712,76.089,76.2304,76.4308,76.6367,76.804,76.9428,77.0566,77.3311,77.504,77.6686,77.8332,77.9978,78.1625,78.3543,78.6249,78.7996,78.9354,79.1062,79.2485,79.3624,79.4762,79.5457,79.647,79.7092,79.8745,79.9914,80.1793,80.3017,80.3925,80.503,80.637,80.7786,80.9515,81.1379,81.3265,81.5298,81.597,81.7535,81.963,82.0563,82.0951,82.2374,82.3593,82.4651,82.5221,82.637,82.8104,82.9347,83.0344,83.0914,83.1483,83.2906,83.3432,83.376,83.4363,83.6814,83.7125,83.8006,83.9453,84.0953,84.23,84.3164,84.4008,84.4901,84.6193,84.657,84.7456,84.8294,84.9132,85.0555,85.1195,85.3272,85.3686,85.5216,85.6695,85.7956,85.9095,86.0475,86.2124,86.392,86.4425,86.4919,86.5814,86.6496,86.6781,86.735,86.8488,86.9342,86.9472,86.9627,87.0767,87.1871,87.2693,87.3328,87.4466,87.4466,87.6174,87.7721,87.9021,87.9021,88.0444,88.0444,88.1298,88.2202,88.2721,88.2721,88.3836,88.5283,88.6412,88.6844,88.7845,88.8699,88.9592,89.0407,89.1328,89.2115,89.3883,89.4537,89.5531,89.6358,89.6954,89.7523,89.8377,89.9801,90.1135,90.2363,90.2932,90.3046,90.4633,90.5494,90.6063,90.6633,90.7881,90.8056,90.8775,90.9977,91.1187,91.1781,91.2939,91.4318,91.507,91.5457,91.5844,91.6426,91.688,91.76,91.8835,91.9442,92.0296,92.1088,92.1721,92.2048,92.2858,92.3919,92.542,92.542,92.542,92.6099,92.698,92.7913,92.8266,92.8836,92.9974,93.0435,93.0828,93.1398,93.1935,93.2252,93.2536,93.339,93.339,93.4529,93.4814,93.5886,93.6521,93.6521,93.7091,93.8076,93.8799,93.9233,93.9368,93.9653,93.9653,93.9937,94.0791,94.1645,94.193,94.2222,94.2466,94.3442,94.3923,94.4777,94.509,94.5346,94.5631,94.6262,94.7054,94.7054,94.7908,94.7908,94.8654,94.9512,94.9616,94.9616,95.047,95.0754,95.0754,95.1608,95.2462,95.2462,95.2747,95.3129,95.3601,95.4455,95.474,95.474,95.5309,95.639,95.6447,95.7301,95.7586,95.844,95.9009,95.9294,95.9579,95.9863,95.9863,96.0433,96.1002,96.1571,96.1856,96.2056,96.2141,96.271,96.271,96.271,96.3125,96.4133,96.4862,96.5272,96.5272,96.5848,96.6126,96.641,96.6695,96.7264,96.7545,96.7834,96.7834,96.7834,96.8118,96.8403,96.8403,96.8688,96.9257,96.9542,97.0171,97.0396,97.0396,97.068,97.125,97.125,97.1534,97.2484,97.2673,97.2798,97.3242,97.3242,97.3812,97.3812,97.4666,97.4877,97.495,97.5519,97.5804,97.5804,97.6089,97.6373,97.6373,97.6373,97.6373,97.6658,97.6943,97.7227,97.7512,97.7797,97.7797,97.7797,97.8081,97.8081,97.8081,97.8651,97.9505,97.9789,97.9789,98.0354,98.0538,98.1213,98.1213,98.1213,98.1213,98.1782,98.1782,98.2067,98.2351,98.2351,98.2351,98.2636,98.2636,98.3205,98.3205,98.3205,98.3205,98.3205,98.3205,98.3205,98.3205,98.349,98.3775,98.4059,98.4629,98.4629,98.4913,98.4913,98.4913,98.5198,98.5482,98.5482,98.5482,98.5739,98.5767,98.5767,98.6336,98.6336,98.6336,98.6336,98.6336,98.6336,98.6336,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6621,98.6906,98.6906,98.6906,98.6906,98.719,98.719,98.719,98.719,98.7475,98.776,98.8044,98.8044,98.8044,98.8044,98.8044,98.8044,98.8044,98.8044,98.8329,98.8614,98.8898,98.8898,98.8898,98.9183,98.9468,98.9752,99.0037,99.0037,99.0037,99.0322,99.0606,99.0606,99.0606,99.0891,99.0891,99.1176,99.1176,99.146,99.146,99.146,99.146,99.146,99.1745,99.1745,99.1745,99.203,99.203,99.203,99.2314,99.2314,99.2599,99.3168,99.3168,99.3168,99.3168,99.3168,99.3168,99.3168,99.3168,99.3453,99.3577,99.3738,99.3738,99.3738,99.3738,99.3738,99.3738,99.3738,99.3738,99.3738,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4022,99.4307,99.4307,99.4307,99.4307,99.4307,99.4307,99.4307,99.4592,99.4876,99.4876,99.4876,99.4876,99.4876,99.4876,99.4876,99.5161,99.5161,99.5161,99.5445,99.5445,99.573,99.573,99.573,99.573,99.573,99.573,99.6015,99.6015,99.6015,99.6015,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6584,99.6869,99.6869,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7153,99.7438,99.7438,99.7438,99.7438,99.7438,99.7438,99.7438,99.7723,99.7723,99.7723,99.7723,99.7723,99.7723,99.7723,99.7723,99.7723,99.7723,99.8007,99.8007,99.8007,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8292,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8577,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.8861,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9146,99.9431,99.9431,99.9431,99.9431,99.9431,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.185817,0.371634,0.557451,0.743268,0.929086,1.1149,1.30072,1.48654,1.67235,1.85817,2.04399,2.22981,2.41562,2.60144,2.78726,2.97307,3.15889,3.34471,3.53053,3.71634,3.90216,4.08798,4.27379,4.45961,4.64543,4.83125,5.01706,5.20288,5.3887,5.57451,5.76033,5.94615,6.13196,6.31778,6.5036,6.68942,6.87523,7.06105,7.24687,7.43268,7.6185,7.80432,7.99014,8.17595,8.36177,8.54759,8.7334,8.91922,9.10504,9.29086,9.47667,9.66249,9.84831,10.0341,10.2199,10.4058,10.5916,10.7774,10.9632,11.149,11.3348,11.5207,11.7065,11.8923,12.0781,12.2639,12.4497,12.6356,12.8214,13.0072,13.193,13.3788,13.5646,13.7505,13.9363,14.1221,14.3079,14.4937,14.6796,14.8654,15.0512,15.237,15.4228,15.6086,15.7945,15.9803,16.1661,16.3519,16.5377,16.7235,16.9094,17.0952,17.281,17.4668,17.6526,17.8384,18.0243,18.2101,18.3959,18.5817,18.7675,18.9533,19.1392,19.325,19.5108,19.6966,19.8824,20.0682,20.2541,20.4399,20.6257,20.8115,20.9973,21.1832,21.369,21.5548,21.7406,21.9264,22.1122,22.2981,22.4839,22.6697,22.8555,23.0413,23.2271,23.413,23.5988,23.7846,23.9704,24.1562,24.342,24.5279,24.7137,24.8995,25.0853,25.2711,25.4569,25.6428,25.8286,26.0144,26.2002,26.386,26.5718,26.7577,26.9435,27.1293,27.3151,27.5009,27.6868,27.8726,28.0584,28.2442,28.43,28.6158,28.8017,28.9875,29.1733,29.3591,29.5449,29.7307,29.9166,30.1024,30.2882,30.474,30.6598,30.8456,31.0315,31.2173,31.4031,31.5889,31.7747,31.9605,32.1464,32.3322,32.518,32.7038,32.8896,33.0754,33.2613,33.4471,33.6329,33.8187,34.0045,34.1904,34.3762,34.562,34.7478,34.9336,35.1194,35.3053,35.4911,35.6769,35.8627,36.0485,36.2343,36.4202,36.606,36.7918,36.9776,37.1634,37.3492,37.5351,37.7209,37.9067,38.0925,38.2783,38.4641,38.65,38.8358,39.0216,39.2074,39.3932,39.579,39.7649,39.9507,40.1365,40.3223,40.5081,40.6939,40.8798,41.0656,41.2514,41.4372,41.623,41.8089,41.9947,42.1805,42.3663,42.5521,42.7379,42.9238,43.1096,43.2954,43.4812,43.667,43.8528,44.0387,44.2245,44.4103,44.5961,44.7819,44.9677,45.1536,45.3394,45.5252,45.711,45.8968,46.0826,46.2685,46.4543,46.6401,46.8259,47.0117,47.1975,47.3834,47.5692,47.755,47.9408,48.1266,48.3125,48.4983,48.6841,48.8699,49.0557,49.2415,49.4274,49.6132,49.799,49.9848,50.1706,50.3564,50.5423,50.7281,50.9139,51.0997,51.2855,51.4713,51.6572,51.843,52.0288,52.2146,52.4004,52.5862,52.7721,52.9579,53.1437,53.3295,53.5153,53.7011,53.887,54.0728,54.2586,54.4444,54.6302,54.8161,55.0019,55.1877,55.3735,55.5593,55.7451,55.931,56.1168,56.3026,56.4884,56.6742,56.86,57.0459,57.2317,57.4175,57.6033,57.7891,57.9749,58.1608,58.3466,58.5324,58.7182,58.904,59.0898,59.2757,59.4615,59.6473,59.8331,60.0189,60.2047,60.3906,60.5764,60.7622,60.948,61.1338,61.3196,61.5055,61.6913,61.8771,62.0629,62.2487,62.4346,62.6204,62.8062,62.992,63.1778,63.3636,63.5495,63.7353,63.9211,64.1069,64.2927,64.4785,64.6644,64.8502,65.036,65.2218,65.4076,65.5934,65.7793,65.9651,66.1509,66.3367,66.5225,66.7083,66.8942,67.08,67.2658,67.4516,67.6374,67.8232,68.0091,68.1949,68.3807,68.5665,68.7523,68.9382,69.124,69.3098,69.4956,69.6814,69.8672,70.0531,70.2389,70.4247,70.6105,70.7963,70.9821,71.168,71.3538,71.5396,71.7254,71.9112,72.097,72.2829,72.4687,72.6545,72.8403,73.0261,73.2119,73.3978,73.5836,73.7694,73.9552,74.141,74.3268,74.5127,74.6985,74.8843,75.0701,75.2559,75.4418,75.6276,75.8134,75.9992,76.185,76.3708,76.5567,76.7425,76.9283,77.1141,77.2999,77.4857,77.6716,77.8574,78.0432,78.229,78.4148,78.6006,78.7865,78.9723,79.1581,79.3439,79.5297,79.7155,79.9014,80.0872,80.273,80.4588,80.6446,80.8304,81.0163,81.2021,81.3879,81.5737,81.7595,81.9454,82.1312,82.317,82.5028,82.6886,82.8744,83.0603,83.2461,83.4319,83.6177,83.8035,83.9893,84.1752,84.361,84.5468,84.7326,84.9184,85.1042,85.154,85.1975,85.241,85.2845,85.3279,85.3714,85.4149,85.4584,85.5019,85.5454,85.5888,85.6323,85.6758,85.7193,85.7628,85.8063,85.8497,85.8932,85.9367,85.9802,86.0237,86.0671,86.1106,86.1541,86.1976,86.2411,86.2846,86.328,86.3715,86.415,86.4585,86.502,86.5455,86.5889,86.6324,86.6759,86.7194,86.7629,86.8064,86.8498,86.8933,86.9368,86.9803,87.0238,87.0673,87.1107,87.1542,87.1977,87.2412,87.2847,87.3282,87.3716,87.4151,87.4586,87.5021,87.5456,87.5891,87.6325,87.676,87.7195,87.763,87.8065,87.85,87.8934,87.9369,87.9804,88.0239,88.0674,88.1109,88.1543,88.1978,88.2413,88.2848,88.3283,88.3718,88.4152,88.4587,88.5022,88.5457,88.5892,88.6327,88.6761,88.7196,88.7631,88.8066,88.8501,88.8936,88.937,88.9805,89.024,89.0675,89.111,89.1544,89.1979,89.2414,89.2849,89.3284,89.3719,89.4153,89.4588,89.5023,89.5458,89.5893,89.6328,89.6762,89.7197,89.7632,89.8067,89.8502,89.8937,89.9371,89.9806,90.0241,90.0676,90.1111,90.1546,90.198,90.2415,90.285,90.3285,90.372,90.4155,90.4589,90.5024,90.5459,90.5894,90.6329,90.6764,90.7198,90.7633,90.8068,90.8503,90.8938,90.9373,90.9807,91.0242,91.0677,91.1112,91.1547,91.1982,91.2416,91.2851,91.3286,91.3721,91.4156,91.4591,91.5025,91.546,91.5895,91.633,91.6765,91.72,91.7634,91.8069,91.8504,91.8939,91.9374,91.9809,92.0243,92.0678,92.1113,92.1548,92.1983,92.2417,92.2852,92.3287,92.3722,92.4157,92.4592,92.5026,92.5461,92.5896,92.6331,92.6766,92.7201,92.7635,92.807,92.8505,92.894,92.9375,92.981,93.0244,93.0679,93.1114,93.1549,93.1984,93.2419,93.2853,93.3288,93.3723,93.4158,93.4593,93.5028,93.5462,93.5897,93.6332,93.6767,93.7202,93.7637,93.8071,93.8506,93.8941,93.9376,93.9811,94.0246,94.068,94.1115,94.155,94.1985,94.242,94.2855,94.3289,94.3724,94.4159,94.4594,94.5029,94.5464,94.5898,94.6333,94.6768,94.7203,94.7638,94.8073,94.8507,94.8942,94.9377,94.9812,95.0247,95.0682,95.1116,95.1551,95.1986,95.2421,95.2856,95.329,95.3725,95.416,95.4595,95.503,95.5465,95.5899,95.6334,95.6769,95.7204,95.7639,95.8074,95.8508,95.8943,95.9378,95.9813,96.0248,96.0683,96.1117,96.1552,96.1987,96.2287,96.2513,96.2738,96.2964,96.319,96.3416,96.3642,96.3868,96.4093,96.4319,96.4545,96.4771,96.4997,96.5223,96.5448,96.5674,96.59,96.6126,96.6352,96.6577,96.6803,96.7029,96.7255,96.7481,96.7707,96.7932,96.8158,96.8384,96.861,96.8836,96.9062,96.9287,96.9513,96.9739,96.9965,97.0191,97.0417,97.0642,97.0868,97.1094,97.132,97.1546,97.1772,97.1997,97.2223,97.2449,97.2675,97.2901,97.3127,97.3352,97.3578,97.3804,97.403,97.4256,97.4482,97.4707,97.4933,97.5159,97.5385,97.5611,97.5836,97.6062,97.6288,97.6514,97.674,97.6966,97.7191,97.7417,97.7643,97.7869,97.8095,97.8321,97.8546,97.8772,97.8998,97.9224,97.945,97.9676,97.9901,98.0127,98.0353,98.0579,98.0805,98.1031,98.1256,98.1482,98.1708,98.1934,98.216,98.2386,98.2611,98.2837,98.3063,98.3289,98.3515,98.3741,98.3966,98.4192,98.4418,98.4644,98.487,98.5096,98.5321,98.5534,98.5716,98.5897,98.6078,98.626,98.6441,98.6622,98.6804,98.6985,98.7166,98.7348,98.7529,98.771,98.7892,98.8073,98.8254,98.8436,98.8617,98.8798,98.898,98.9161,98.9342,98.9524,98.9705,98.9886,99.0068,99.0249,99.043,99.0612,99.0793,99.0918,99.0978,99.1037,99.1096,99.1156,99.1215,99.1274,99.1334,99.1393,99.1453,99.1512,99.1571,99.1631,99.169,99.1749,99.1809,99.1868,99.1927,99.1987,99.2046,99.2105,99.2165,99.2224,99.2284,99.2343,99.2402,99.2462,99.2521,99.258,99.264,99.2699,99.2758,99.2818,99.2877,99.2936,99.2996,99.3055,99.3115,99.3174,99.3233,99.3293,99.3352,99.3411,99.3471,99.353,99.3589,99.3649,99.3708,99.3767,99.3827,99.3886,99.3946,99.4005,99.4064,99.4124,99.4183,99.4242,99.4302,99.4361,99.442,99.448,99.4539,99.4598,99.4658,99.4717,99.4777,99.4836,99.4895,99.4955,99.5014,99.5073,99.5133,99.5192,99.5251,99.5311,99.537,99.5429,99.5489,99.5548,99.5608,99.5667,99.5726,99.5786,99.5845,99.5904,99.5964,99.6023,99.6082,99.6142,99.6201,99.626,99.632,99.6379,99.6439,99.6498,99.6557,99.6617,99.6676,99.6735,99.6795,99.6854,99.6913,99.6973,99.7032,99.7091,99.7151,99.721,99.727,99.7329,99.7388,99.7448,99.7507,99.7566,99.7626,99.7685,99.7744,99.7804,99.7863,99.7922,99.7982,99.8041,99.8101,99.816,99.8219,99.8279,99.8338,99.8397,99.8457,99.8516,99.8575,99.8635,99.8694,99.8753,99.8813,99.8872,99.8932,99.8991,99.905,99.911,99.9169,99.9228,99.9288,99.9347,99.9406,99.9466,99.9525,99.9584,99.9644,99.9703,99.9763,99.9822,99.9881,99.9941,100]
+					}
+				]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Adult",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					9,
+					7
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 34291,
+			"learningTask": "Classification analysis",
+			"targetVariable": "class",
+			"mainTargetValue": "more",
+			"targetDescriptiveStats": {
+				"values": 2,
+				"mode": "less",
+				"modeFrequency": 26117,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["less","more"],
+				"frequencies": [26117,8174]
+			},
+			"evaluatedVariables": 15,
+			"informativeVariables": 13,
+			"selectedVariables": 12,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 10.4427,
+				"dataCost": 18827.2
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "relationship",
+				"type": "Categorical",
+				"level": 0.208145,
+				"parts": 5,
+				"values": 6,
+				"mode": "Husband",
+				"modeFrequency": 13771,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 53.9185,
+				"dataCost": 14859.9
+			},
+			{
+				"rank": "R02",
+				"name": "marital_status",
+				"type": "Categorical",
+				"level": 0.197864,
+				"parts": 3,
+				"values": 7,
+				"mode": "Married-civ-spouse",
+				"modeFrequency": 15609,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 39.207,
+				"dataCost": 15068.3
+			},
+			{
+				"rank": "R03",
+				"name": "capital_gain",
+				"type": "Numerical",
+				"level": 0.139679,
+				"parts": 19,
+				"values": 122,
+				"min": 0,
+				"max": 99999,
+				"mean": 1129.327783,
+				"stdDev": 7735.318813,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 188.918,
+				"dataCost": 16014.7
+			},
+			{
+				"rank": "R04",
+				"name": "age",
+				"type": "Numerical",
+				"level": 0.117931,
+				"parts": 12,
+				"values": 74,
+				"min": 17,
+				"max": 90,
+				"mean": 38.67338369,
+				"stdDev": 13.77705677,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 122.056,
+				"dataCost": 16491.2
+			},
+			{
+				"rank": "R05",
+				"name": "education_num",
+				"type": "Numerical",
+				"level": 0.112569,
+				"parts": 7,
+				"values": 16,
+				"min": 1,
+				"max": 16,
+				"mean": 10.08075005,
+				"stdDev": 2.555450221,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 78.8343,
+				"dataCost": 16635.5
+			},
+			{
+				"rank": "R06",
+				"name": "education",
+				"type": "Categorical",
+				"level": 0.112034,
+				"parts": 7,
+				"values": 16,
+				"mode": "HS-grad",
+				"modeFrequency": 11102,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 88.9107,
+				"dataCost": 16635.5
+			},
+			{
+				"rank": "R07",
+				"name": "occupation",
+				"type": "Categorical",
+				"level": 0.090111,
+				"parts": 8,
+				"values": 14,
+				"mode": "Prof-specialty",
+				"modeFrequency": 6329,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 94.4276,
+				"dataCost": 17042.9
+			},
+			{
+				"rank": "R08",
+				"name": "hours_per_week",
+				"type": "Numerical",
+				"level": 0.0717333,
+				"parts": 6,
+				"values": 93,
+				"min": 1,
+				"max": 99,
+				"mean": 40.41281969,
+				"stdDev": 12.3602687,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 69.0858,
+				"dataCost": 17414.5
+			},
+			{
+				"rank": "R09",
+				"name": "capital_loss",
+				"type": "Numerical",
+				"level": 0.0536587,
+				"parts": 16,
+				"values": 95,
+				"min": 0,
+				"max": 4356,
+				"mean": 87.26231373,
+				"stdDev": 403.1609014,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 169.971,
+				"dataCost": 17654.1
+			},
+			{
+				"rank": "R10",
+				"name": "sex",
+				"type": "Categorical",
+				"level": 0.0466409,
+				"parts": 2,
+				"values": 2,
+				"mode": "Male",
+				"modeFrequency": 22881,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 20.8234,
+				"dataCost": 17935.5
+			},
+			{
+				"rank": "R11",
+				"name": "workclass",
+				"type": "Categorical",
+				"level": 0.0224888,
+				"parts": 4,
+				"values": 8,
+				"mode": "Private",
+				"modeFrequency": 25762,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 47.5855,
+				"dataCost": 18363.7
+			},
+			{
+				"rank": "R12",
+				"name": "race",
+				"type": "Categorical",
+				"level": 0.0102259,
+				"parts": 2,
+				"values": 5,
+				"mode": "White",
+				"modeFrequency": 29301,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 25.3683,
+				"dataCost": 18616.9
+			},
+			{
+				"rank": "R13",
+				"name": "native_country",
+				"type": "Categorical",
+				"level": 0.00652175,
+				"parts": 3,
+				"values": 40,
+				"mode": "United-States",
+				"modeFrequency": 31389,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.4012,
+				"preparationCost": 73.666,
+				"dataCost": 18638.4
+			},
+			{
+				"rank": "R14",
+				"name": "Label",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 34291,
+				"min": 2,
+				"max": 48842,
+				"mean": 24421.00207,
+				"stdDev": 14110.19055,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.4427,
+				"dataCost": 18827.2
+			},
+			{
+				"rank": "R15",
+				"name": "fnlwgt",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 22525,
+				"min": 12285,
+				"max": 1490400,
+				"mean": 189903.0584,
+				"stdDev": 105303.8837,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.4427,
+				"dataCost": 18827.2
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "relationship",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Husband","Wife"],
+								["Not-in-family"],
+								["Own-child"],
+								["Unmarried"],
+								["Other-relative"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[8433,6949],
+						[7982,886],
+						[5269,79],
+						[3394,227],
+						[1039,33]
+					],
+					"partInterests": [0.422448,0.142352,0.287464,0.101483,0.0462536]
+				},
+				"inputValues": {
+					"values": ["Husband","Not-in-family","Own-child","Unmarried","Wife","Other-relative"],
+					"frequencies": [13771,8868,5348,3621,1611,1072]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "marital_status",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Married-civ-spouse","Married-AF-spouse"],
+								["Never-married","Separated"],
+								["Divorced","Widowed","Married-spouse-absent"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[8650,6986],
+						[11896,579],
+						[5571,609]
+					],
+					"partInterests": [0.4328,0.460279,0.106921]
+				},
+				"inputValues": {
+					"values": ["Married-civ-spouse","Never-married","Divorced","Widowed","Separated","Married-spouse-absent","Married-AF-spouse"],
+					"frequencies": [15609,11400,4655,1093,1075,432,27]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "capital_gain",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0,57],
+								[57,3048],
+								[3048,3120],
+								[3120,4240],
+								[4240,4400],
+								[4400,4668],
+								[4668,4826],
+								[4826,4970],
+								[4970,5119],
+								[5119,5310],
+								[5310,6808],
+								[6808,7070],
+								[7070,7436],
+								[7436,7560],
+								[7560,10000],
+								[10000,10585],
+								[10585,30900],
+								[30900,70000],
+								[70000,99999]
+							]
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[25020,6400],
+						[492,0],
+						[7,103],
+						[320,0],
+						[10,60],
+						[77,0],
+						[0,29],
+						[22,7],
+						[80,0],
+						[0,104],
+						[33,22],
+						[34,0],
+						[0,269],
+						[4,0],
+						[2,372],
+						[8,43],
+						[1,579],
+						[7,0],
+						[0,186]
+					],
+					"partInterests": [0.0385112,0.0478367,0.0441147,0.0311133,0.0214422,0.00748665,0.0148484,2.57249e-07,0.00777833,0.0532493,0.00125563,0.00330579,0.137731,0.000388917,0.186215,0.0148831,0.293924,0.000680604,0.0952344]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "age",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[17,21.5],
+								[21.5,23.5],
+								[23.5,25.5],
+								[25.5,27.5],
+								[27.5,30.5],
+								[30.5,35.5],
+								[35.5,37.5],
+								[37.5,42.5],
+								[42.5,55.5],
+								[55.5,61.5],
+								[61.5,66.5],
+								[66.5,90]
+							]
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[3287,7],
+						[1775,28],
+						[1609,81],
+						[1541,146],
+						[2205,430],
+						[3557,1074],
+						[1280,563],
+						[2718,1440],
+						[4961,3134],
+						[1439,754],
+						[848,307],
+						[897,210]
+					],
+					"partInterests": [0.372056,0.164954,0.0997211,0.057524,0.0194256,0.000232794,0.00939477,0.0532907,0.192212,0.0268643,0.00101566,0.00330892]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "education_num",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,8.5],
+								[8.5,9.5],
+								[9.5,10.5],
+								[10.5,12.5],
+								[12.5,13.5],
+								[13.5,14.5],
+								[14.5,16]
+							]
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[4227,255],
+						[9350,1752],
+						[6207,1438],
+						[1919,667],
+						[3308,2337],
+						[842,1000],
+						[264,725]
+					],
+					"partInterests": [0.24816,0.100321,0.0258925,0.00123361,0.195066,0.181348,0.247978]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "education",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["HS-grad"],
+								["Some-college"],
+								["Bachelors"],
+								["11th","10th","7th-8th","9th","12th","5th-6th","1st-4th","Preschool"],
+								["Assoc-voc","Assoc-acdm"],
+								["Masters"],
+								["Prof-school","Doctorate"]
+							],
+							"defaultGroupIndex": 3
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[9350,1752],
+						[6207,1438],
+						[3308,2337],
+						[4227,255],
+						[1919,667],
+						[842,1000],
+						[264,725]
+					],
+					"partInterests": [0.100321,0.0258925,0.195066,0.24816,0.00123361,0.181348,0.247978]
+				},
+				"inputValues": {
+					"values": ["HS-grad","Some-college","Bachelors","Masters","Assoc-voc","11th","Assoc-acdm","10th","7th-8th","Prof-school","9th","12th","Doctorate","5th-6th","1st-4th","Preschool"],
+					"frequencies": [11102,7645,5645,1842,1453,1277,1133,1004,638,584,528,465,405,357,160,53]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "occupation",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Prof-specialty","Protective-serv","Armed-Forces"],
+								["Craft-repair","Transport-moving"],
+								["Sales","Tech-support"],
+								["Exec-managerial"],
+								["Adm-clerical"],
+								["Other-service","Priv-house-serv"],
+								["Machine-op-inspct","Farming-fishing"],
+								["Handlers-cleaners"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[4661,2367],
+						[4689,1316],
+						[3572,1334],
+						[2252,2038],
+						[3351,536],
+						[3499,138],
+						[2750,351],
+						[1343,94]
+					],
+					"partInterests": [0.0985361,0.00354381,0.00839068,0.322787,0.0693478,0.320807,0.0893676,0.0872203]
+				},
+				"inputValues": {
+					"values": ["Prof-specialty","Craft-repair","Exec-managerial","Adm-clerical","Sales","Other-service","Machine-op-inspct","Transport-moving","Handlers-cleaners","Tech-support","Farming-fishing","Protective-serv","Priv-house-serv","Armed-Forces"],
+					"frequencies": [6329,4309,4290,3887,3872,3457,2092,1696,1437,1034,1009,686,180,13]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "hours_per_week",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,34.5],
+								[34.5,39.5],
+								[39.5,40.5],
+								[40.5,49.5],
+								[49.5,64.5],
+								[64.5,99]
+							]
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[5519,406],
+						[1967,362],
+						[12595,3344],
+						[2123,1137],
+						[3201,2515],
+						[712,410]
+					],
+					"partInterests": [0.434249,0.0348336,0.0264835,0.0719813,0.399988,0.0324643]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "capital_loss",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0,70],
+								[70,1457],
+								[1457,1494],
+								[1494,1537],
+								[1537,1568.5],
+								[1568.5,1789],
+								[1789,1846],
+								[1846,1859],
+								[1859,1881],
+								[1881,1906.5],
+								[1906.5,1975.5],
+								[1975.5,1978.5],
+								[1978.5,2156],
+								[2156,2384],
+								[2384,2580],
+								[2580,4356]
+							]
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[25325,7371],
+						[87,2],
+						[19,27],
+						[17,0],
+						[0,31],
+						[374,0],
+						[6,3],
+						[0,49],
+						[42,0],
+						[11,350],
+						[22,1],
+						[0,184],
+						[118,0],
+						[75,48],
+						[5,93],
+						[16,15]
+					],
+					"partInterests": [0.0131577,0.0146582,0.0109609,0.00399388,0.0383523,0.0878653,0.000178532,0.0606214,0.00986723,0.393118,0.0028567,0.22764,0.0277222,0.00602329,0.0991934,0.00379124]
+				}
+			},
+			"R10": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "sex",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Male"],
+								["Female"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[15937,6944],
+						[10180,1230]
+					],
+					"partInterests": [0.28476,0.71524]
+				},
+				"inputValues": {
+					"values": ["Male","Female"],
+					"frequencies": [22881,11410]
+				}
+			},
+			"R11": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "workclass",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Private","Without-pay","Never-worked"],
+								["Self-emp-not-inc","Local-gov","State-gov"],
+								["Self-emp-inc"],
+								["Federal-gov"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[20448,5335],
+						[4541,1771],
+						[520,674],
+						[608,394]
+					],
+					"partInterests": [0.160564,0.0660155,0.642787,0.130634]
+				},
+				"inputValues": {
+					"values": ["Private","Self-emp-not-inc","Local-gov","State-gov","Self-emp-inc","Federal-gov","Without-pay","Never-worked"],
+					"frequencies": [25762,2673,2246,1393,1194,1002,12,9]
+				}
+			},
+			"R12": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "race",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["White","Asian-Pac-Islander"],
+								["Black","Amer-Indian-Eskimo","Other"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[22668,7719],
+						[3449,455]
+					],
+					"partInterests": [0.0978889,0.902111]
+				},
+				"inputValues": {
+					"values": ["White","Black","Asian-Pac-Islander","Amer-Indian-Eskimo","Other"],
+					"frequencies": [29301,3307,1086,331,266]
+				}
+			},
+			"R13": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "native_country",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["United-States","Philippines","Cuba","China","Jamaica","South","Italy","Poland","Ireland","Hong","Hungary","Scotland"],
+								["Mexico","Puerto-Rico","El-Salvador","Dominican-Republic","Guatemala","Haiti","Vietnam","Columbia","Portugal","Nicaragua","Peru","Ecuador","Thailand","Trinadad&Tobago","Honduras","Outlying-US","Laos"],
+								["Germany","Canada","India","England","Japan","Taiwan","Iran","Greece","France","Cambodia","Yugoslavia"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["less","more"]
+						}
+					],
+					"partTargetFrequencies": [
+						[24334,7822],
+						[1317,90],
+						[466,262]
+					],
+					"partInterests": [0.0115219,0.840639,0.147839]
+				},
+				"inputValues": {
+					"values": ["United-States","Mexico","Philippines","Germany","Puerto-Rico","Canada","India","El-Salvador","Cuba","England","China","Jamaica","South","Italy","Dominican-Republic","Guatemala","Japan","Haiti","Poland","Vietnam","Columbia","Taiwan","Portugal","Iran","Nicaragua","Peru","Greece","Ecuador","France","Ireland","Hong","Thailand","Cambodia","Yugoslavia","Trinadad&Tobago","Honduras","Hungary","Outlying-US","Scotland","Laos"],
+					"frequencies": [31389,641,211,146,127,125,114,109,96,91,89,83,80,77,74,67,64,58,57,53,52,49,44,41,37,36,34,30,26,25,21,21,19,19,16,15,15,15,13,12]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/AdultEvaluation.khj b/tests/resources/analysis_results/ref_json_reports/AdultEvaluation.khj
index 55553c9f..ca724be9 100644
--- a/tests/resources/analysis_results/ref_json_reports/AdultEvaluation.khj
+++ b/tests/resources/analysis_results/ref_json_reports/AdultEvaluation.khj
@@ -1,97 +1,97 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"evaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "",
-		"summary": {
-			"dictionary": "Adult",
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 34174,
-			"learningTask": "Classification analysis",
-			"targetVariable": "class",
-			"mainTargetValue": "more"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 0.868526,
-				"compression": 0.490196,
-				"auc": 0.925735
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate relationship",
-				"accuracy": 0.761632,
-				"compression": 0.208972,
-				"auc": 0.779064
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[24638,3103],
-						[1390,5043]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["less","more"],
-					"matrix": [
-						[26028,8146],
-						[0,0]
-					]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "less",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.131297,0.262594,0.393891,0.525188,0.656485,0.787782,0.919079,1.05038,1.18167,1.31297,1.44427,1.57556,1.70686,1.83816,1.96946,2.10075,2.23205,2.36335,2.49464,2.62594,2.75724,2.88854,3.01983,3.15113,3.28243,3.41372,3.54502,3.67632,3.80761,3.93891,4.07021,4.20151,4.3328,4.4641,4.5954,4.72669,4.85799,4.98929,5.12059,5.25188,5.38318,5.51448,5.64577,5.77707,5.90837,6.03966,6.17096,6.30226,6.43356,6.56485,6.69615,6.82745,6.95874,7.09004,7.22134,7.35264,7.48393,7.61523,7.74653,7.87782,8.00912,8.14042,8.27172,8.40301,8.53431,8.66561,8.7969,8.9282,9.0595,9.19079,9.32209,9.45339,9.58469,9.71598,9.84728,9.97858,10.1099,10.2412,10.3725,10.5038,10.6351,10.7664,10.8977,11.029,11.1603,11.2915,11.4228,11.5541,11.6854,11.8167,11.948,12.0793,12.2106,12.3419,12.4732,12.6045,12.7358,12.8671,12.9984,13.1297,13.261,13.3923,13.5236,13.6549,13.7862,13.9175,14.0488,14.1801,14.3114,14.4427,14.574,14.7053,14.8366,14.9679,15.0992,15.2305,15.3618,15.4931,15.6244,15.7556,15.8869,16.0182,16.1495,16.2808,16.4121,16.5434,16.6747,16.806,16.9373,17.0686,17.1999,17.3312,17.4625,17.5938,17.7251,17.8564,17.9877,18.119,18.2503,18.3816,18.5129,18.6442,18.7755,18.9068,19.0381,19.1694,19.3007,19.432,19.5633,19.6946,19.8259,19.9572,20.0885,20.2197,20.351,20.4823,20.6136,20.7449,20.8762,21.0075,21.1388,21.2701,21.4014,21.5327,21.664,21.7953,21.9266,22.0579,22.1892,22.3205,22.4518,22.5831,22.7144,22.8457,22.977,23.1083,23.2396,23.3709,23.5022,23.6335,23.7648,23.8961,24.0274,24.1587,24.29,24.4213,24.5526,24.6838,24.8151,24.9464,25.0777,25.209,25.3403,25.4716,25.6029,25.7342,25.8655,25.9968,26.1281,26.2594,26.3907,26.522,26.6533,26.7846,26.9159,27.0472,27.1785,27.3098,27.4411,27.5724,27.7037,27.835,27.9663,28.0976,28.2289,28.3602,28.4915,28.6228,28.7541,28.8854,29.0167,29.1479,29.2792,29.4105,29.5418,29.6731,29.8044,29.9357,30.067,30.1983,30.3296,30.4609,30.5922,30.7235,30.8548,30.9861,31.1174,31.2487,31.38,31.5113,31.6426,31.7739,31.9052,32.0365,32.1678,32.2991,32.4304,32.5617,32.693,32.8243,32.9556,33.0869,33.2182,33.3495,33.4808,33.612,33.7433,33.8746,34.0059,34.1372,34.2685,34.3998,34.5311,34.6624,34.7937,34.925,35.0563,35.1876,35.3189,35.4502,35.5815,35.7128,35.8441,35.9754,36.1067,36.238,36.3693,36.5006,36.6319,36.7632,36.8945,37.0258,37.1571,37.2884,37.4197,37.551,37.6823,37.8136,37.9449,38.0761,38.2074,38.3387,38.47,38.6013,38.7326,38.8639,38.9952,39.1265,39.2578,39.3891,39.5204,39.6517,39.783,39.9143,40.0456,40.1769,40.3082,40.4395,40.5708,40.7021,40.8334,40.9647,41.096,41.2273,41.3586,41.4899,41.6212,41.7525,41.8838,42.0151,42.1464,42.2777,42.409,42.5402,42.6715,42.8028,42.9341,43.0654,43.1967,43.328,43.4593,43.5906,43.7219,43.8532,43.9845,44.1158,44.2471,44.3784,44.5097,44.641,44.7723,44.9036,45.0349,45.1662,45.2975,45.4288,45.5601,45.6914,45.8227,45.954,46.0853,46.2166,46.3479,46.4792,46.6105,46.7418,46.8731,47.0043,47.1356,47.2669,47.3982,47.5295,47.6608,47.7921,47.9234,48.0547,48.186,48.3173,48.4486,48.5799,48.7112,48.8425,48.9738,49.1051,49.2364,49.3677,49.499,49.6303,49.7616,49.8929,50.0242,50.1555,50.2868,50.4181,50.5494,50.6807,50.812,50.9433,51.0746,51.2059,51.3372,51.4684,51.5997,51.731,51.8623,51.9936,52.1249,52.2562,52.3875,52.5188,52.6501,52.7814,52.9127,53.044,53.1753,53.3066,53.4379,53.5692,53.7005,53.8318,53.9631,54.0944,54.2257,54.357,54.4883,54.6196,54.7509,54.8822,55.0135,55.1448,55.2761,55.4074,55.5387,55.67,55.8013,55.9325,56.0638,56.1951,56.3264,56.4577,56.589,56.7203,56.8516,56.9829,57.1142,57.2455,57.3768,57.5081,57.6394,57.7707,57.902,58.0333,58.1646,58.2959,58.4272,58.5585,58.6898,58.8211,58.9524,59.0837,59.215,59.3463,59.4776,59.6089,59.7402,59.8715,60.0028,60.1341,60.2654,60.3966,60.5279,60.6592,60.7905,60.9218,61.0531,61.1844,61.3157,61.447,61.5783,61.7096,61.8409,61.9722,62.1035,62.2348,62.3661,62.4974,62.6287,62.76,62.8913,63.0226,63.1539,63.2852,63.4165,63.5478,63.6791,63.8104,63.9417,64.073,64.2043,64.3356,64.4669,64.5982,64.7295,64.8607,64.992,65.1233,65.2546,65.3859,65.5172,65.6485,65.7798,65.9111,66.0424,66.1737,66.305,66.4363,66.5676,66.6989,66.8302,66.9615,67.0928,67.2241,67.3554,67.4867,67.618,67.7493,67.8806,68.0119,68.1432,68.2745,68.4058,68.5371,68.6684,68.7997,68.931,69.0623,69.1936,69.3249,69.4561,69.5874,69.7187,69.85,69.9813,70.1126,70.2439,70.3752,70.5065,70.6378,70.7691,70.9004,71.0317,71.163,71.2943,71.4256,71.5569,71.6882,71.8195,71.9508,72.0821,72.2134,72.3447,72.476,72.6073,72.7386,72.8699,73.0012,73.1325,73.2638,73.3951,73.5264,73.6577,73.789,73.9202,74.0515,74.1828,74.3141,74.4454,74.5767,74.708,74.8393,74.9706,75.1019,75.2332,75.3645,75.4958,75.6271,75.7584,75.8897,76.021,76.1523,76.2836,76.4149,76.5462,76.6775,76.8088,76.9401,77.0714,77.2027,77.334,77.4653,77.5966,77.7279,77.8592,77.9905,78.1218,78.2531,78.3843,78.5156,78.6469,78.7782,78.9095,79.0408,79.1721,79.3034,79.4347,79.566,79.6973,79.8286,79.9599,80.0912,80.2225,80.3538,80.4851,80.6164,80.7477,80.879,81.0103,81.1416,81.2729,81.4042,81.5355,81.6668,81.7981,81.9294,82.0607,82.192,82.3233,82.4546,82.5859,82.7172,82.8484,82.9797,83.111,83.2423,83.3736,83.5049,83.6362,83.7675,83.8988,84.0301,84.1614,84.2927,84.424,84.5553,84.6866,84.8179,84.9492,85.0805,85.2118,85.3431,85.4744,85.6057,85.737,85.8683,85.9996,86.1309,86.2622,86.3935,86.5248,86.6561,86.7874,86.9187,87.05,87.1813,87.3125,87.4438,87.5751,87.7064,87.8377,87.969,88.1003,88.2316,88.3629,88.4942,88.6255,88.7568,88.8881,89.0194,89.1507,89.282,89.4133,89.5446,89.6759,89.8072,89.9385,90.0698,90.2011,90.3324,90.4637,90.595,90.7263,90.8576,90.9889,91.1202,91.2515,91.3828,91.5141,91.6454,91.7766,91.9079,92.0392,92.1705,92.3018,92.4331,92.5644,92.6957,92.827,92.9583,93.0896,93.2209,93.3522,93.4835,93.6148,93.7461,93.8774,94.0087,94.14,94.2713,94.4026,94.5339,94.6652,94.7965,94.9278,95.0591,95.1904,95.3217,95.453,95.5843,95.7156,95.8469,95.9782,96.1095,96.2407,96.372,96.5033,96.6346,96.7659,96.8972,97.0285,97.1598,97.2911,97.4224,97.5537,97.685,97.8163,97.9476,98.0789,98.2102,98.3415,98.4728,98.6041,98.7354,98.8667,98.998,99.1293,99.2606,99.3919,99.5232,99.6545,99.7858,99.9171,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.131297,0.262594,0.393891,0.525188,0.656485,0.787782,0.919079,1.05038,1.18167,1.31297,1.44427,1.57556,1.70686,1.83816,1.96946,2.10075,2.23205,2.36335,2.49464,2.62594,2.75724,2.88854,3.01983,3.15113,3.28243,3.41372,3.54502,3.67632,3.80761,3.93891,4.07021,4.20151,4.3328,4.4641,4.5954,4.72669,4.85799,4.98929,5.12059,5.25188,5.38318,5.51448,5.64577,5.77707,5.90453,6.03582,6.16712,6.29842,6.42971,6.56101,6.69231,6.82361,6.9549,7.0862,7.2175,7.34879,7.48009,7.61139,7.74268,7.87398,8.00528,8.13658,8.26787,8.39917,8.53047,8.66176,8.79306,8.92436,9.05566,9.18695,9.31825,9.44955,9.58084,9.71214,9.84344,9.97473,10.106,10.2373,10.3686,10.4999,10.6312,10.7625,10.8938,11.0251,11.1564,11.2877,11.419,11.5503,11.6816,11.8129,11.9442,12.0755,12.2068,12.3381,12.4655,12.5968,12.7281,12.8594,12.9907,13.122,13.2533,13.3846,13.5159,13.6472,13.7785,13.9098,14.0411,14.1724,14.3037,14.4312,14.5624,14.6937,14.825,14.9563,15.0876,15.2189,15.3502,15.4815,15.6128,15.7441,15.8754,16.0067,16.138,16.2693,16.4006,16.5319,16.6632,16.7945,16.9258,17.0571,17.1884,17.3197,17.451,17.5823,17.7136,17.8449,17.9762,18.1075,18.2388,18.3701,18.5014,18.6327,18.764,18.8953,19.0265,19.1578,19.2891,19.4204,19.5479,19.6792,19.8105,19.9418,20.0731,20.2044,20.3357,20.467,20.5983,20.7296,20.8609,20.9922,21.1196,21.2509,21.3822,21.5135,21.6448,21.7723,21.9036,22.0349,22.1662,22.2974,22.4287,22.56,22.6913,22.8226,22.9524,23.0814,23.2127,23.344,23.4753,23.6066,23.7379,23.8692,24.0005,24.1318,24.2631,24.3944,24.5257,24.657,24.7883,24.9195,25.047,25.1783,25.3096,25.4409,25.5722,25.7035,25.8348,25.9661,26.0974,26.2287,26.36,26.4913,26.6187,26.75,26.8813,27.0126,27.1439,27.2675,27.3988,27.5301,27.6614,27.7927,27.924,28.0553,28.1866,28.3179,28.4492,28.5805,28.7118,28.8431,28.9705,29.1018,29.2331,29.3606,29.4919,29.6232,29.7545,29.8819,30.0132,30.1445,30.272,30.4033,30.5346,30.6659,30.7972,30.9285,31.0559,31.1872,31.3185,31.4498,31.5773,31.7086,31.8399,31.9712,32.1025,32.2299,32.3612,32.4925,32.6238,32.7551,32.8864,33.0139,33.1452,33.2726,33.4039,33.5352,33.66,33.7901,33.9214,34.0527,34.184,34.3153,34.4466,34.5779,34.7054,34.8328,34.9603,35.0916,35.2229,35.3542,35.4855,35.6168,35.7442,35.8717,36.003,36.1343,36.2656,36.3968,36.5205,36.6518,36.7831,36.9105,37.0418,37.1731,37.3006,37.4319,37.5632,37.6945,37.8257,37.957,38.0883,38.2158,38.3471,38.4784,38.6097,38.741,38.8684,38.9959,39.1272,39.2585,39.3859,39.5134,39.6409,39.7722,39.9035,40.0347,40.166,40.2973,40.4286,40.5561,40.6874,40.8187,40.95,41.0813,41.2126,41.34,41.4713,41.6026,41.7301,41.8614,41.9927,42.1201,42.2514,42.3827,42.514,42.6415,42.7728,42.9002,43.0315,43.159,43.2903,43.4177,43.549,43.6765,43.8039,43.9352,44.0644,44.194,44.3253,44.4566,44.5879,44.7192,44.8505,44.9779,45.1092,45.2405,45.3718,45.5031,45.6306,45.7619,45.8855,46.0168,46.1442,46.2755,46.4068,46.5343,46.6541,46.7854,46.9167,47.0479,47.1792,47.3105,47.4418,47.5727,47.7006,47.8274,47.9517,48.0791,48.2047,48.3263,48.4576,48.5889,48.7202,48.8438,48.9751,49.1064,49.2377,49.369,49.5003,49.6316,49.7552,49.8865,50.014,50.1338,50.2612,50.3887,50.52,50.6474,50.7787,50.91,51.0375,51.1649,51.2924,51.4237,51.5511,51.6786,51.806,51.9258,52.0571,52.1884,52.3159,52.4433,52.5684,52.6944,52.8257,52.957,53.0875,53.2081,53.3393,53.4553,53.575,53.7036,53.83,53.9574,54.079,54.2008,54.3283,54.455,54.5755,54.6991,54.8265,54.954,55.0815,55.2051,55.321,55.4369,55.5567,55.6878,55.8155,55.9467,56.0665,56.1901,56.3137,56.4297,56.5571,56.6846,56.812,56.9318,57.0593,57.1846,57.3103,57.4416,57.5652,57.6965,57.824,57.9515,58.0751,58.1987,58.3184,58.4459,58.5695,58.6868,58.8167,58.9442,59.0548,59.1645,59.2958,59.4233,59.5497,59.6744,59.8018,59.9293,60.0567,60.1842,60.3155,60.4429,60.5665,60.6825,60.8061,60.9182,61.0456,61.1615,61.2852,61.4011,61.5285,61.6522,61.7758,61.9032,62.0241,62.1505,62.2672,62.3862,62.5098,62.618,62.7455,62.8691,62.9889,63.1125,63.2361,63.3597,63.4718,63.5992,63.7192,63.8503,63.974,64.0975,64.2211,64.3524,64.4799,64.5949,64.7156,64.8392,64.9667,65.0946,65.2139,65.3298,65.4457,65.5694,65.6968,65.8281,65.9527,66.0792,66.1989,66.3187,66.45,66.5762,66.6934,66.7978,66.9099,67.0373,67.1543,67.2846,67.4043,67.528,67.6485,67.7675,67.8873,68.0109,68.1216,68.2427,68.3702,68.478,68.5867,68.6911,68.7908,68.8999,69.0197,69.1412,69.2592,69.379,69.4949,69.6147,69.7311,69.8619,69.9627,70.063,70.1751,70.2949,70.407,70.5267,70.6273,70.7279,70.8476,70.9674,71.0795,71.1993,71.319,71.4311,71.5488,71.6707,71.7904,71.8925,72.0108,72.1382,72.2503,72.3643,72.4783,72.5928,72.714,72.8144,72.9267,73.0311,73.1437,73.2629,73.3748,73.4751,73.5909,73.708,73.8252,73.9396,74.0398,74.1596,74.2717,74.3953,74.5113,74.6063,74.7239,74.8437,74.9398,75.064,75.1778,75.2728,75.3811,75.4816,75.5783,75.6854,75.791,75.9052,76.0191,76.1311,76.2294,76.3284,76.4366,76.5564,76.6751,76.7767,76.8773,76.9777,77.0784,77.1899,77.2783,77.3857,77.5018,77.6235,77.7428,77.8558,77.9551,78.0641,78.1696,78.2729,78.3658,78.4818,78.5961,78.7132,78.7988,78.8955,78.9999,79.0828,79.1818,79.2709,79.3914,79.499,79.5958,79.6962,79.8038,79.9272,80.0462,80.1472,80.2389,80.3536,80.4518,80.5391,80.6322,80.7325,80.8264,80.9371,81.0281,81.1312,81.2288,81.3205,81.4134,81.485,81.5805,81.6771,81.7773,81.858,81.9476,82.0393,82.141,82.2304,82.3268,82.4283,82.4972,82.59,82.7052,82.8214,82.9378,83.0337,83.1258,83.2203,83.3324,83.4291,83.5199,83.6106,83.6959,83.7845,83.8732,83.9634,84.0524,84.1346,84.2208,84.3054,84.3822,84.4632,84.5457,84.6179,84.7088,84.7798,84.8587,84.9663,85.0507,85.1314,85.2179,85.3275,85.4039,85.4938,85.5769,85.671,85.7622,85.8368,85.9241,86.0162,86.1084,86.2052,86.2802,86.3679,86.4618,86.5683,86.6614,86.7569,86.84,86.9175,87.0142,87.1145,87.1838,87.2791,87.3435,87.4328,87.5215,87.6,87.6738,87.7499,87.826,87.9021,87.9782,88.0552,88.1501,88.234,88.3103,88.3895,88.4939,88.5869,88.6797,88.7841,88.8808,88.9657,89.046,89.0987,89.1655,89.2687,89.3536,89.4387,89.5239,89.5888,89.6786,89.7495,89.8187,89.8918,89.9798,90.0598,90.1248,90.197,90.2702,90.3496,90.4093,90.4921,90.5854,90.6664,90.7595,90.8355,90.9091,91.0035,91.0861,91.1631,91.2584,91.3642,91.4293,91.5154,91.5856,91.6802,91.7633,91.823,91.8802,91.9571,92.0379,92.1132,92.1892,92.2487,92.3208,92.3882,92.4731,92.5458,92.6319,92.7212,92.7885,92.8645,92.9345,93.0191,93.0939,93.1676,93.2279,93.2941,93.3371,93.4115,93.4809,93.5531,93.6377,93.7124,93.799,93.8866,93.9949,94.0529,94.1206,94.1945,94.2529,94.3178,94.3627,94.416,94.5005,94.5622,94.6264,94.6802,94.7524,94.8119,94.8608,94.9266,95.0007,95.0634,95.1245,95.1828,95.2483,95.3012,95.3645,95.4168,95.4709,95.531,95.5928,95.647,95.7032,95.7744,95.8441,95.8955,95.9707,96.0333,96.0875,96.1559,96.2342,96.3022,96.3505,96.3859,96.4359,96.4986,96.5723,96.6262,96.6819,96.7287,96.7771,96.8227,96.8878,96.9507,96.9949,97.0522,97.0971,97.1423,97.2151,97.2796,97.3362,97.3841,97.4471,97.4783,97.5149,97.5542,97.6024,97.6423,97.6719,97.7169,97.7637,97.8331,97.8585,97.8872,97.9335,97.9839,98.0517,98.0706,98.1136,98.1597,98.2064,98.2458,98.2783,98.3001,98.3441,98.3975,98.45,98.5027,98.5477,98.5944,98.6108,98.6449,98.694,98.7332,98.7831,98.8341,98.8876,98.9271,98.9532,98.9885,99.0207,99.0699,99.1043,99.1405,99.1889,99.2352,99.25,99.2725,99.2836,99.3001,99.3577,99.3776,99.4184,99.4427,99.4624,99.5032,99.5529,99.5698,99.5901,99.6326,99.6672,99.685,99.708,99.7195,99.7234,99.7541,99.7638,99.7783,99.8002,99.8169,99.8617,99.8771,99.8886,99.91,99.927,99.9347,99.9501,99.9616,99.9654,99.9654,99.9731,99.9731,99.9731,99.9731,99.9769,99.9769,99.9808,99.9885,99.9923,99.9923,99.9923,99.9923,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.129073,0.258146,0.387219,0.516292,0.645365,0.774439,0.903512,1.03258,1.16166,1.29073,1.4198,1.54888,1.67795,1.80702,1.9361,2.06517,2.19424,2.32332,2.45239,2.58146,2.71054,2.83961,2.96868,3.09775,3.22683,3.3559,3.48497,3.61405,3.74312,3.87219,4.00127,4.13034,4.25941,4.38849,4.51756,4.64663,4.7757,4.90478,5.03385,5.16292,5.292,5.42107,5.55014,5.67922,5.80829,5.93736,6.06644,6.19551,6.32458,6.45365,6.58273,6.7118,6.84087,6.96995,7.09902,7.22809,7.35717,7.48624,7.61531,7.74439,7.87346,8.00253,8.13161,8.26068,8.38975,8.51882,8.6479,8.77697,8.90604,9.03512,9.16419,9.29326,9.42234,9.55141,9.68048,9.80956,9.93863,10.0677,10.1968,10.3258,10.4549,10.584,10.7131,10.8421,10.9712,11.1003,11.2294,11.3584,11.4875,11.6166,11.7457,11.8747,12.0038,12.1329,12.2619,12.391,12.5201,12.6492,12.7782,12.9073,13.0364,13.1655,13.2945,13.4236,13.5527,13.6817,13.8108,13.9399,14.069,14.198,14.3271,14.4562,14.5853,14.7143,14.8434,14.9725,15.1016,15.2306,15.3597,15.4888,15.6178,15.7469,15.876,16.0051,16.1341,16.2632,16.3923,16.5214,16.6504,16.7795,16.9086,17.0376,17.1667,17.2958,17.4249,17.5539,17.683,17.8121,17.9412,18.0702,18.1993,18.3284,18.4575,18.5865,18.7156,18.8447,18.9737,19.1028,19.2319,19.361,19.49,19.6191,19.7482,19.8773,20.0063,20.1354,20.2645,20.3935,20.5226,20.6517,20.7808,20.9098,21.0389,21.168,21.2971,21.4261,21.5552,21.6843,21.8134,21.9424,22.0715,22.2006,22.3296,22.4587,22.5878,22.7169,22.8459,22.975,23.1041,23.2332,23.3622,23.4913,23.6204,23.7495,23.8776,24.0008,24.1239,24.2471,24.3702,24.4934,24.6165,24.7397,24.8628,24.9859,25.1091,25.2322,25.3554,25.4785,25.6017,25.7248,25.848,25.9711,26.0943,26.2174,26.3406,26.4637,26.5869,26.71,26.8332,26.9563,27.0795,27.2026,27.3257,27.4489,27.572,27.6952,27.8183,27.9415,28.0646,28.1878,28.3109,28.4341,28.5572,28.6804,28.8035,28.9267,29.0498,29.173,29.2961,29.4193,29.5424,29.6655,29.7887,29.9118,30.035,30.1581,30.2813,30.4044,30.5276,30.6507,30.7739,30.897,31.0202,31.1433,31.2665,31.3896,31.5128,31.6359,31.7591,31.8822,32.0053,32.1285,32.2516,32.3748,32.4979,32.6211,32.7442,32.8674,32.9905,33.1137,33.2368,33.36,33.4831,33.6063,33.7294,33.8526,33.9757,34.0989,34.222,34.3451,34.4683,34.5914,34.7146,34.8377,34.9609,35.084,35.2072,35.3303,35.4535,35.5766,35.6998,35.8229,35.9461,36.0692,36.1924,36.3155,36.4387,36.5618,36.6849,36.8081,36.9312,37.0514,37.1697,37.288,37.4063,37.5246,37.6428,37.7611,37.8794,37.9977,38.116,38.2343,38.3525,38.4708,38.5891,38.7074,38.8257,38.9439,39.0622,39.1805,39.2988,39.4171,39.5354,39.6536,39.7719,39.8902,40.0085,40.1268,40.2451,40.3633,40.4816,40.5999,40.7182,40.8365,40.9547,41.073,41.1913,41.3096,41.4279,41.5462,41.6644,41.7827,41.901,42.0193,42.1376,42.2559,42.3741,42.4924,42.6107,42.729,42.8473,42.9655,43.0838,43.2021,43.3204,43.4387,43.557,43.6752,43.7935,43.9118,44.0301,44.1484,44.2667,44.3849,44.5032,44.6215,44.7398,44.8581,44.9763,45.0946,45.2129,45.3312,45.4495,45.5678,45.686,45.8043,45.9226,46.0409,46.1592,46.2775,46.3957,46.514,46.6323,46.7506,46.8689,46.9871,47.1054,47.2237,47.342,47.4603,47.5786,47.6968,47.8151,47.9334,48.0517,48.17,48.2883,48.4065,48.5248,48.6431,48.7614,48.8797,48.998,49.1162,49.2345,49.3528,49.4711,49.5894,49.7076,49.8259,49.9442,50.0625,50.1808,50.2991,50.4173,50.5356,50.6539,50.7722,50.8905,51.0088,51.127,51.2453,51.3636,51.4819,51.6002,51.7184,51.8367,51.955,52.0733,52.1916,52.3099,52.4281,52.5464,52.6647,52.783,52.9013,53.0196,53.1378,53.2561,53.3744,53.4927,53.611,53.7292,53.8475,53.9658,54.0841,54.2024,54.3207,54.4389,54.5572,54.6755,54.7938,54.9121,55.0304,55.1486,55.2669,55.3852,55.5035,55.6218,55.74,55.8583,55.9766,56.0949,56.2132,56.3315,56.4497,56.568,56.6863,56.8046,56.9229,57.0412,57.1594,57.2777,57.396,57.5143,57.6326,57.7508,57.8691,57.9874,58.1057,58.224,58.3423,58.4605,58.5788,58.6971,58.8154,58.9337,59.052,59.1702,59.2885,59.4068,59.5251,59.6434,59.7617,59.8799,59.9982,60.1165,60.2348,60.3531,60.4713,60.5896,60.7079,60.8262,60.9445,61.0628,61.181,61.2993,61.4176,61.5359,61.6542,61.7725,61.8907,62.009,62.1273,62.2456,62.3639,62.4821,62.6004,62.7187,62.837,62.9553,63.0736,63.1918,63.3101,63.4284,63.5467,63.665,63.7833,63.9015,64.0198,64.1381,64.2564,64.3747,64.4929,64.6112,64.7295,64.8478,64.9661,65.0844,65.2026,65.3209,65.4392,65.5575,65.6758,65.7941,65.9123,66.0306,66.1489,66.2672,66.3855,66.5037,66.622,66.7403,66.8586,66.9769,67.0952,67.2134,67.3317,67.4277,67.5,67.5722,67.6444,67.7166,67.7888,67.8611,67.9333,68.0055,68.0777,68.15,68.2222,68.2944,68.3666,68.4388,68.5111,68.5833,68.6555,68.7277,68.8,68.8722,68.9444,69.0166,69.0888,69.1611,69.2333,69.3055,69.3777,69.45,69.5222,69.5944,69.6666,69.7388,69.8111,69.8833,69.9555,70.0277,70.1,70.1722,70.2444,70.3166,70.3888,70.4611,70.5333,70.6055,70.6777,70.75,70.8222,70.8944,70.9666,71.0388,71.1111,71.1833,71.2555,71.3277,71.4,71.4722,71.5444,71.6166,71.6889,71.7611,71.8333,71.9055,71.9777,72.05,72.1222,72.1944,72.2666,72.3389,72.4111,72.4833,72.5555,72.6277,72.7,72.7722,72.8444,72.9166,72.9889,73.0611,73.1333,73.2055,73.2777,73.35,73.4222,73.4944,73.5666,73.6389,73.7111,73.7833,73.8555,73.9277,74,74.0722,74.1444,74.2166,74.2889,74.3611,74.4333,74.5055,74.5777,74.65,74.7222,74.7944,74.8666,74.9389,75.0111,75.0833,75.1555,75.2277,75.3,75.3722,75.4444,75.5166,75.5889,75.6611,75.7333,75.8055,75.8777,75.95,76.0222,76.0944,76.1666,76.2389,76.3111,76.3833,76.4555,76.5277,76.6,76.6722,76.7444,76.8166,76.8889,76.9611,77.0333,77.1055,77.1777,77.25,77.3222,77.3944,77.4666,77.5389,77.6111,77.6833,77.7555,77.8277,77.9,77.9722,78.0444,78.1166,78.1889,78.2611,78.3333,78.4055,78.4777,78.55,78.6222,78.6944,78.7666,78.8389,78.9111,78.9833,79.0555,79.1277,79.2,79.2722,79.3444,79.4166,79.4889,79.5611,79.6333,79.7055,79.7778,79.85,79.9222,79.9944,80.0666,80.1389,80.2111,80.2833,80.3555,80.4278,80.5,80.5722,80.6444,80.7166,80.7889,80.8611,80.9333,81.0055,81.0778,81.15,81.2222,81.2944,81.3666,81.4389,81.5111,81.5833,81.6555,81.7278,81.8,81.8722,81.9444,82.0166,82.0889,82.1611,82.2333,82.3055,82.3778,82.45,82.5222,82.5944,82.6666,82.7389,82.8111,82.8833,82.9555,83.0278,83.1,83.1722,83.2444,83.3166,83.3889,83.4611,83.5333,83.6055,83.6778,83.75,83.8222,83.8944,83.9666,84.0389,84.1111,84.1833,84.2555,84.3278,84.4,84.4722,84.5444,84.6166,84.6889,84.7611,84.8333,84.9055,84.9778,85.05,85.1222,85.1944,85.2666,85.3389,85.4111,85.4833,85.5555,85.6278,85.7,85.7722,85.8444,85.9166,85.9889,86.0611,86.1333,86.2055,86.2778,86.35,86.4222,86.4944,86.5666,86.6389,86.7111,86.7833,86.8555,86.9278,87,87.0722,87.1444,87.2166,87.2889,87.3611,87.4333,87.5055,87.5778,87.65,87.7222,87.7944,87.8667,87.9389,88.0111,88.0833,88.1555,88.2278,88.3,88.3722,88.4444,88.5167,88.5889,88.6611,88.7333,88.8055,88.8778,88.95,89.0222,89.0944,89.1667,89.2389,89.3111,89.3833,89.4555,89.5278,89.6,89.6722,89.7444,89.8167,89.8889,89.9611,90.0333,90.1055,90.1778,90.25,90.3222,90.3944,90.4667,90.5389,90.6111,90.6833,90.7555,90.8278,90.9,90.9722,91.0444,91.1167,91.1889,91.2611,91.3333,91.4055,91.4778,91.55,91.6222,91.6944,91.7667,91.8389,91.9111,91.9833,92.0555,92.1278,92.2,92.2722,92.3444,92.4167,92.4889,92.5611,92.6333,92.7055,92.7778,92.85,92.9222,92.9944,93.0667,93.1389,93.2111,93.2833,93.3555,93.4278,93.5,93.5722,93.6444,93.7167,93.7889,93.8611,93.9333,94.0055,94.0778,94.15,94.2222,94.2944,94.3667,94.4389,94.5111,94.5833,94.6555,94.7278,94.8,94.8722,94.9444,95.0167,95.0889,95.1611,95.2333,95.3055,95.3778,95.45,95.5222,95.5944,95.6667,95.7389,95.8111,95.8833,95.9556,96.0278,96.1,96.1722,96.2444,96.3167,96.3889,96.4611,96.5333,96.6056,96.6778,96.75,96.8222,96.8944,96.9667,97.0389,97.1111,97.1833,97.2556,97.3278,97.4,97.4722,97.5444,97.6167,97.6889,97.7611,97.8333,97.9056,97.9778,98.05,98.1222,98.1944,98.2667,98.3389,98.4111,98.4833,98.5556,98.6278,98.7,98.7722,98.8444,98.9167,98.9889,99.0611,99.1333,99.2056,99.2778,99.35,99.4222,99.4944,99.5667,99.6389,99.7111,99.7833,99.8556,99.9278,100]
-					}
-				]
-			},
-			{
-				"targetValue": "more",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.419519,0.839038,1.25856,1.67808,2.09759,2.51711,2.93663,3.35615,3.77567,4.19519,4.61471,5.03423,5.45374,5.87326,6.29278,6.7123,7.13182,7.55134,7.97086,8.39038,8.80989,9.22941,9.64893,10.0685,10.488,10.9075,11.327,11.7465,12.166,12.5856,13.0051,13.4246,13.8441,14.2636,14.6832,15.1027,15.5222,15.9417,16.3612,16.7808,17.2003,17.6198,18.0393,18.4588,18.8783,19.2979,19.7174,20.1369,20.5564,20.9759,21.3955,21.815,22.2345,22.654,23.0735,23.4931,23.9126,24.3321,24.7516,25.1711,25.5906,26.0102,26.4297,26.8492,27.2687,27.6882,28.1078,28.5273,28.9468,29.3663,29.7858,30.2054,30.6249,31.0444,31.4639,31.8834,32.3029,32.7225,33.142,33.5615,33.981,34.4005,34.8201,35.2396,35.6591,36.0786,36.4981,36.9177,37.3372,37.7567,38.1762,38.5957,39.0152,39.4348,39.8543,40.2738,40.6933,41.1128,41.5324,41.9519,42.3714,42.7909,43.2104,43.63,44.0495,44.469,44.8885,45.308,45.7275,46.1471,46.5666,46.9861,47.4056,47.8251,48.2447,48.6642,49.0837,49.5032,49.9227,50.3423,50.7618,51.1813,51.6008,52.0203,52.4398,52.8594,53.2789,53.6984,54.1179,54.5374,54.957,55.3765,55.796,56.2155,56.635,57.0546,57.4741,57.8936,58.3131,58.7326,59.1521,59.5717,59.9912,60.4107,60.8302,61.2497,61.6693,62.0888,62.5083,62.9278,63.3473,63.7669,64.1864,64.6059,65.0254,65.4449,65.8644,66.284,66.7035,67.123,67.5425,67.962,68.3816,68.8011,69.2206,69.6401,70.0596,70.4792,70.8987,71.3182,71.7377,72.1572,72.5767,72.9963,73.4158,73.8353,74.2548,74.6743,75.0939,75.5134,75.9329,76.3524,76.7719,77.1915,77.611,78.0305,78.45,78.8695,79.289,79.7086,80.1281,80.5476,80.9671,81.3866,81.8062,82.2257,82.6452,83.0647,83.4842,83.9038,84.3233,84.7428,85.1623,85.5818,86.0014,86.4209,86.8404,87.2599,87.6794,88.0989,88.5185,88.938,89.3575,89.777,90.1965,90.6161,91.0356,91.4551,91.8746,92.2941,92.7137,93.1332,93.5527,93.9722,94.3917,94.8112,95.2308,95.6503,96.0698,96.4893,96.9088,97.3284,97.7479,98.1674,98.5869,99.0064,99.426,99.8455,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.419519,0.839038,1.25856,1.67808,2.09759,2.51711,2.93663,3.35615,3.77567,4.19519,4.61471,5.03423,5.45374,5.87326,6.29278,6.7123,7.13182,7.55134,7.97086,8.39038,8.80989,9.22941,9.64893,10.0685,10.488,10.9075,11.327,11.7465,12.166,12.5856,13.0051,13.4246,13.8441,14.2636,14.6832,15.1027,15.5222,15.9417,16.3612,16.7808,17.2003,17.6198,18.0393,18.4466,18.8661,19.2856,19.7051,20.1246,20.5441,20.9637,21.3832,21.7904,22.2099,22.6295,23.049,23.4562,23.8512,24.2584,24.678,25.0852,25.5047,25.9242,26.3438,26.7387,27.1582,27.5655,27.9482,28.3186,28.7136,29.0787,29.4298,29.8125,30.1829,30.4595,30.8256,31.1751,31.5483,31.9368,32.2581,32.6654,33.048,33.3939,33.7568,34.0656,34.3494,34.7041,35.0695,35.3302,35.6196,35.9761,36.318,36.6069,36.9629,37.1984,37.5651,37.9493,38.2968,38.6693,38.9407,39.2057,39.5095,39.8191,40.0814,40.398,40.7048,41.0408,41.3341,41.5829,41.8392,42.0995,42.3937,42.6562,42.9668,43.3339,43.6043,43.8799,44.1311,44.3828,44.6319,44.9107,45.2605,45.5764,45.87,46.1401,46.4123,46.6946,47.0538,47.2565,47.5149,47.7866,48.1143,48.4528,48.6505,48.9206,49.1964,49.5212,49.8133,50.0787,50.3728,50.6753,50.9952,51.2135,51.48,51.7186,51.932,52.1189,52.3939,52.67,52.9063,53.1846,53.4033,53.6146,53.8885,54.1535,54.4233,54.6649,54.9123,55.0962,55.3155,55.5754,55.8816,56.1469,56.3492,56.5185,56.7193,56.9659,57.1851,57.3645,57.6197,57.8166,58.0086,58.2486,58.495,58.7171,58.9444,59.1912,59.4435,59.6608,59.9112,60.1214,60.3547,60.5789,60.7981,60.9809,61.1902,61.4535,61.6829,61.8719,62.1195,62.3339,62.5561,62.7056,62.9548,63.231,63.4432,63.6761,63.8596,64.0627,64.2969,64.3702,64.5101,64.6527,64.8337,64.9828,65.1717,65.3695,65.5513,65.8332,66.0412,66.2683,66.4521,66.6326,66.782,66.9777,67.1546,67.3591,67.4932,67.6375,67.8247,67.9732,68.1772,68.3664,68.5958,68.7723,68.9515,69.1126,69.2863,69.5233,69.752,69.9061,70.0233,70.2185,70.363,70.5745,70.6559,70.7709,70.9443,71.1,71.218,71.4023,71.579,71.701,71.8615,71.9829,72.1381,72.3668,72.5326,72.7184,72.9069,73.119,73.2827,73.4211,73.6069,73.8055,73.9984,74.131,74.3432,74.4905,74.638,74.7862,74.8762,75.0821,75.3334,75.4964,75.6445,75.755,75.8409,75.9642,76.0864,76.1724,76.3387,76.5146,76.666,76.7822,76.9557,77.1321,77.3085,77.4849,77.6613,77.845,78.0137,78.1496,78.2838,78.4976,78.6128,78.8107,78.9099,79.0204,79.1922,79.3463,79.4606,79.5827,79.6619,79.7815,79.9206,80.1007,80.2107,80.3358,80.461,80.6017,80.7826,80.9109,81.0296,81.1837,81.316,81.4915,81.5608,81.7038,81.8655,82.0153,82.091,82.2583,82.451,82.5802,82.769,82.9249,83.0857,83.2597,83.4091,83.5531,83.7098,83.8449,83.9764,84.1126,84.2488,84.3959,84.5255,84.655,84.7655,84.8269,84.9444,85.0696,85.1829,85.2303,85.2787,85.3302,85.453,85.6524,85.7476,85.8591,85.9931,86.0877,86.2141,86.3474,86.5091,86.6084,86.7191,86.8335,87.0243,87.1471,87.2735,87.3813,87.4714,87.6,87.6659,87.7854,87.8843,88.0064,88.1471,88.2529,88.306,88.4322,88.529,88.5684,88.5936,88.6693,88.7681,88.8784,88.9542,88.9885,89.1235,89.2267,89.3813,89.4672,89.5777,89.7236,89.7692,89.8235,89.8723,89.9951,90.0845,90.167,90.2382,90.3404,90.3986,90.437,90.4679,90.5163,90.5928,90.7299,90.793,90.8907,90.9894,91.0877,91.1825,91.2227,91.2595,91.3332,91.4366,91.5419,91.6036,91.6591,91.7137,91.7959,91.8733,91.9838,92.082,92.1557,92.2715,92.3275,92.3501,92.4626,92.4994,92.543,92.659,92.7081,92.7326,92.794,92.8307,92.93,92.9841,93.029,93.0744,93.1241,93.2231,93.285,93.3237,93.3833,93.4692,93.5298,93.6288,93.6609,93.7147,93.77,93.8252,93.8864,93.8988,93.9406,94.0339,94.0707,94.1008,94.1444,94.2057,94.2426,94.2794,94.3408,94.3776,94.4144,94.5126,94.6109,94.6477,94.7091,94.7459,94.8073,94.9062,95.0037,95.0053,95.0528,95.0896,95.1387,95.1755,95.2181,95.2492,95.286,95.357,95.4579,95.5438,95.616,95.6911,95.7034,95.736,95.8016,95.8262,95.863,95.9024,95.9367,95.9612,95.998,96.0013,96.0471,96.0594,96.1208,96.2067,96.2518,96.2681,96.2681,96.3049,96.3418,96.3572,96.3786,96.3786,96.3909,96.4154,96.4645,96.5136,96.5521,96.5627,96.575,96.5996,96.6333,96.6855,96.6978,96.6978,96.7223,96.7473,96.7714,96.7721,96.8082,96.8205,96.8819,96.9065,96.931,96.9556,96.9924,97.0169,97.0292,97.1029,97.1274,97.1669,97.2134,97.229,97.2625,97.2747,97.2993,97.3238,97.3361,97.3852,97.4098,97.4589,97.4712,97.5325,97.5571,97.6062,97.6307,97.643,97.643,97.6553,97.6676,97.6797,97.6921,97.7134,97.7289,97.7412,97.7412,97.8101,97.8763,97.8885,97.8929,97.9376,97.9622,97.9745,98.0113,98.0358,98.0604,98.0727,98.0849,98.0849,98.1095,98.1095,98.1272,98.1463,98.1586,98.1954,98.2077,98.22,98.2323,98.2814,98.3059,98.3305,98.3673,98.3673,98.379,98.3796,98.4164,98.4655,98.5146,98.5392,98.5514,98.5637,98.576,98.6005,98.635,98.6496,98.6619,98.6922,98.7233,98.7356,98.7514,98.7601,98.797,98.8461,98.8461,98.8804,98.8829,98.8829,98.8829,98.8998,98.9197,98.932,98.9443,98.9443,98.9443,98.9811,98.9934,99.0056,99.0179,99.0179,99.0302,99.0425,99.0548,99.0548,99.0548,99.067,99.067,99.0793,99.0916,99.1284,99.1407,99.1407,99.1652,99.1652,99.1652,99.1652,99.1652,99.1652,99.1652,99.1898,99.1898,99.1898,99.1898,99.2207,99.2389,99.2512,99.2736,99.288,99.2989,99.3003,99.3003,99.3003,99.3003,99.3003,99.3003,99.3003,99.3371,99.3494,99.3494,99.3494,99.3616,99.3616,99.3862,99.3862,99.3985,99.3985,99.3985,99.3985,99.3985,99.4108,99.4108,99.4108,99.4108,99.4108,99.4108,99.4163,99.423,99.423,99.4353,99.4476,99.4476,99.4599,99.4599,99.4721,99.4721,99.4844,99.4844,99.4967,99.4967,99.4967,99.4967,99.509,99.509,99.509,99.5212,99.5212,99.5212,99.5335,99.5335,99.5335,99.5335,99.5335,99.5335,99.5458,99.5458,99.5458,99.5458,99.5458,99.5458,99.5458,99.5581,99.5703,99.5826,99.5826,99.5826,99.5949,99.6072,99.6072,99.6072,99.6072,99.6072,99.6194,99.6194,99.6194,99.6194,99.6194,99.6194,99.6194,99.6317,99.6317,99.6317,99.644,99.644,99.644,99.6685,99.6685,99.6685,99.6685,99.6685,99.6808,99.6931,99.6931,99.6931,99.6931,99.6931,99.6931,99.7054,99.7177,99.7299,99.7299,99.7299,99.7299,99.7299,99.7299,99.7299,99.7337,99.7545,99.7545,99.7545,99.7668,99.7668,99.779,99.779,99.779,99.779,99.779,99.779,99.7913,99.7913,99.7913,99.7913,99.7913,99.8036,99.8036,99.8036,99.8036,99.8159,99.8159,99.8159,99.8159,99.8159,99.8159,99.8281,99.8281,99.8281,99.8404,99.8404,99.8404,99.8404,99.8527,99.8527,99.8527,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.865,99.8895,99.8895,99.8895,99.8895,99.8895,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9018,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9141,99.9213,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9263,99.9386,99.9386,99.9386,99.9386,99.9386,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9509,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9632,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9754,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,99.9877,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate relationship",
-						"values": [0,0.188755,0.37751,0.566265,0.75502,0.943775,1.13253,1.32128,1.51004,1.69879,1.88755,2.0763,2.26506,2.45381,2.64257,2.83132,3.02008,3.20883,3.39759,3.58634,3.7751,3.96385,4.15261,4.34136,4.53012,4.71887,4.90763,5.09638,5.28514,5.47389,5.66265,5.8514,6.04016,6.22891,6.41767,6.60642,6.79518,6.98393,7.17269,7.36144,7.5502,7.73895,7.92771,8.11646,8.30522,8.49397,8.68273,8.87148,9.06024,9.24899,9.43775,9.6265,9.81525,10.004,10.1928,10.3815,10.5703,10.759,10.9478,11.1365,11.3253,11.514,11.7028,11.8916,12.0803,12.2691,12.4578,12.6466,12.8353,13.0241,13.2128,13.4016,13.5904,13.7791,13.9679,14.1566,14.3454,14.5341,14.7229,14.9116,15.1004,15.2891,15.4779,15.6667,15.8554,16.0442,16.2329,16.4217,16.6104,16.7992,16.9879,17.1767,17.3655,17.5542,17.743,17.9317,18.1205,18.3092,18.498,18.6867,18.8755,19.0642,19.253,19.4418,19.6305,19.8193,20.008,20.1968,20.3855,20.5743,20.763,20.9518,21.1405,21.3293,21.5181,21.7068,21.8956,22.0843,22.2731,22.4618,22.6506,22.8393,23.0281,23.2169,23.4056,23.5944,23.7831,23.9719,24.1606,24.3494,24.5381,24.7269,24.9156,25.1044,25.2932,25.4819,25.6707,25.8594,26.0482,26.2369,26.4257,26.6144,26.8032,26.992,27.1807,27.3695,27.5582,27.747,27.9357,28.1245,28.3132,28.502,28.6907,28.8795,29.0683,29.257,29.4458,29.6345,29.8233,30.012,30.2008,30.3895,30.5783,30.767,30.9558,31.1446,31.3333,31.5221,31.7108,31.8996,32.0883,32.2771,32.4658,32.6546,32.8434,33.0321,33.2209,33.4096,33.5984,33.7871,33.9759,34.1646,34.3534,34.5421,34.7309,34.9197,35.1084,35.2972,35.4859,35.6747,35.8634,36.0522,36.2409,36.4297,36.6185,36.8072,36.996,37.1847,37.3735,37.5622,37.751,37.9397,38.1285,38.3172,38.506,38.6948,38.8835,39.0723,39.261,39.4498,39.6385,39.8273,40.016,40.2048,40.3935,40.5823,40.7711,40.9598,41.1486,41.3373,41.5261,41.7148,41.9036,42.0923,42.2811,42.4699,42.6586,42.8474,43.0361,43.2249,43.4136,43.6024,43.7911,43.9799,44.1686,44.3574,44.5462,44.7349,44.9237,45.1124,45.3012,45.4899,45.6787,45.8674,46.0562,46.245,46.4337,46.6225,46.8112,47,47.1887,47.3775,47.5662,47.755,47.9437,48.1325,48.3213,48.51,48.6988,48.8875,49.0763,49.265,49.4538,49.6425,49.8313,50.02,50.2088,50.3976,50.5863,50.7751,50.9638,51.1526,51.3413,51.5301,51.7188,51.9076,52.0964,52.2851,52.4739,52.6626,52.8514,53.0401,53.2289,53.4176,53.6064,53.7951,53.9839,54.1727,54.3614,54.5502,54.7389,54.9277,55.1164,55.3052,55.4939,55.6827,55.8715,56.0602,56.249,56.4377,56.6265,56.8152,57.004,57.1927,57.3815,57.5702,57.759,57.9478,58.1365,58.3253,58.514,58.7028,58.8915,59.0803,59.269,59.4578,59.6465,59.8353,60.0241,60.2128,60.4016,60.5903,60.7791,60.9678,61.1566,61.3453,61.5341,61.7229,61.9116,62.1004,62.2891,62.4779,62.6666,62.8554,63.0441,63.2329,63.4216,63.6104,63.7992,63.9879,64.1767,64.3654,64.5542,64.7429,64.9317,65.1204,65.3092,65.498,65.6867,65.8755,66.0642,66.253,66.4417,66.6305,66.8192,67.008,67.1967,67.3855,67.5743,67.763,67.9518,68.1405,68.3293,68.518,68.7068,68.8955,69.0843,69.273,69.4618,69.6506,69.8393,70.0281,70.2168,70.4056,70.5943,70.7831,70.9718,71.1606,71.3494,71.5381,71.7269,71.9156,72.1044,72.2931,72.4819,72.6706,72.8594,73.0481,73.2369,73.4257,73.6144,73.8032,73.9919,74.1807,74.3694,74.5582,74.7469,74.9357,75.1245,75.3132,75.502,75.6907,75.8795,76.0682,76.257,76.4457,76.6345,76.8232,77.012,77.2008,77.3895,77.5783,77.767,77.9558,78.1445,78.3333,78.522,78.7108,78.8995,79.0883,79.2771,79.4658,79.6546,79.8433,80.0321,80.2208,80.4096,80.5983,80.7871,80.9759,81.1646,81.3534,81.5421,81.7309,81.9196,82.1084,82.2971,82.4859,82.6746,82.8634,83.0522,83.2409,83.4297,83.6184,83.8072,83.9959,84.1847,84.3734,84.5622,84.751,84.9397,85.1285,85.2412,85.2828,85.3244,85.366,85.4076,85.4491,85.4907,85.5323,85.5739,85.6155,85.6571,85.6986,85.7402,85.7818,85.8234,85.865,85.9066,85.9481,85.9897,86.0313,86.0729,86.1145,86.1561,86.1977,86.2392,86.2808,86.3224,86.364,86.4056,86.4472,86.4887,86.5303,86.5719,86.6135,86.6551,86.6967,86.7382,86.7798,86.8214,86.863,86.9046,86.9462,86.9878,87.0293,87.0709,87.1125,87.1541,87.1957,87.2373,87.2788,87.3204,87.362,87.4036,87.4452,87.4868,87.5283,87.5699,87.6115,87.6531,87.6947,87.7363,87.7779,87.8194,87.861,87.9026,87.9442,87.9858,88.0274,88.0689,88.1105,88.1521,88.1937,88.2353,88.2769,88.3184,88.36,88.4016,88.4432,88.4848,88.5264,88.568,88.6095,88.6511,88.6927,88.7343,88.7759,88.8175,88.859,88.9006,88.9422,88.9838,89.0254,89.067,89.1086,89.1501,89.1917,89.2333,89.2749,89.3165,89.3581,89.3996,89.4412,89.4828,89.5244,89.566,89.6076,89.6491,89.6907,89.7323,89.7739,89.8155,89.8571,89.8987,89.9402,89.9818,90.0234,90.065,90.1066,90.1482,90.1897,90.2313,90.2729,90.3145,90.3561,90.3977,90.4392,90.4808,90.5224,90.564,90.6056,90.6472,90.6888,90.7303,90.7719,90.8135,90.8551,90.8967,90.9383,90.9798,91.0214,91.063,91.1046,91.1462,91.1878,91.2293,91.2709,91.3125,91.3541,91.3957,91.4373,91.4789,91.5204,91.562,91.6036,91.6452,91.6868,91.7284,91.7699,91.8115,91.8531,91.8947,91.9363,91.9779,92.0194,92.061,92.1026,92.1442,92.1858,92.2274,92.269,92.3105,92.3521,92.3937,92.4353,92.4769,92.5185,92.56,92.6016,92.6432,92.6848,92.7264,92.768,92.8095,92.8511,92.8927,92.9343,92.9759,93.0175,93.0591,93.1006,93.1422,93.1838,93.2254,93.267,93.3086,93.3501,93.3917,93.4333,93.4749,93.5165,93.5581,93.5997,93.6412,93.6828,93.7244,93.766,93.8076,93.8492,93.8907,93.9323,93.9739,94.0155,94.0571,94.0987,94.1402,94.1818,94.2234,94.265,94.3066,94.3482,94.3898,94.4313,94.4729,94.5145,94.5561,94.5977,94.6393,94.6808,94.7224,94.764,94.8056,94.8472,94.8888,94.9303,94.9719,95.0135,95.0551,95.0967,95.1383,95.1799,95.2214,95.263,95.3046,95.3462,95.3878,95.4294,95.4709,95.5125,95.5541,95.5957,95.6373,95.6789,95.7204,95.762,95.8036,95.8452,95.8868,95.9223,95.9483,95.9744,96.0004,96.0264,96.0525,96.0785,96.1046,96.1306,96.1566,96.1827,96.2087,96.2348,96.2608,96.2868,96.3129,96.3389,96.365,96.391,96.417,96.4431,96.4691,96.4952,96.5212,96.5472,96.5733,96.5993,96.6254,96.6514,96.6774,96.7035,96.7295,96.7556,96.7816,96.8076,96.8337,96.8597,96.8858,96.9118,96.9378,96.9639,96.9899,97.016,97.042,97.068,97.0941,97.1201,97.1462,97.1722,97.1982,97.2243,97.2503,97.2764,97.3024,97.3284,97.3545,97.3805,97.4066,97.4326,97.4586,97.4847,97.5107,97.5368,97.5628,97.5888,97.6149,97.6409,97.667,97.693,97.719,97.7451,97.7711,97.7972,97.8232,97.8492,97.8753,97.9013,97.9274,97.9534,97.9794,98.0055,98.0315,98.0576,98.0836,98.1096,98.1357,98.1617,98.1878,98.2138,98.2398,98.2659,98.2919,98.318,98.344,98.37,98.3961,98.4221,98.4482,98.4742,98.5002,98.5263,98.5523,98.5784,98.6044,98.6304,98.6565,98.6825,98.6925,98.6996,98.7067,98.7138,98.7209,98.728,98.7351,98.7422,98.7493,98.7565,98.7636,98.7707,98.7778,98.7849,98.792,98.7991,98.8062,98.8133,98.8204,98.8275,98.8346,98.8417,98.8488,98.8559,98.863,98.8701,98.8773,98.8844,98.8915,98.8986,98.9057,98.9128,98.9199,98.927,98.9341,98.9412,98.9483,98.9554,98.9625,98.9696,98.9767,98.9838,98.991,98.9981,99.0052,99.0123,99.0194,99.0265,99.0336,99.0407,99.0478,99.0549,99.062,99.0691,99.0762,99.0833,99.0904,99.0975,99.1046,99.1118,99.1189,99.126,99.1331,99.1402,99.1473,99.1544,99.1615,99.1686,99.1757,99.1828,99.1899,99.197,99.2041,99.2112,99.2183,99.2254,99.2326,99.2397,99.2468,99.2539,99.261,99.2681,99.2752,99.2823,99.2894,99.2965,99.3036,99.3107,99.3178,99.3249,99.332,99.3391,99.3462,99.3534,99.3605,99.3676,99.3747,99.3818,99.3889,99.396,99.4031,99.4102,99.4173,99.4244,99.4315,99.4386,99.4457,99.4528,99.4599,99.4671,99.4742,99.4813,99.4884,99.4955,99.5026,99.5097,99.5168,99.5239,99.531,99.5381,99.5452,99.5523,99.5594,99.5665,99.5736,99.5807,99.5879,99.595,99.6021,99.6092,99.6163,99.6234,99.6305,99.6376,99.6447,99.6518,99.6589,99.666,99.6731,99.6802,99.6873,99.6944,99.7015,99.7087,99.7158,99.7229,99.73,99.7371,99.7442,99.7513,99.7584,99.7655,99.7726,99.7797,99.7868,99.7939,99.801,99.8081,99.8152,99.8224,99.8295,99.8366,99.8437,99.8508,99.8579,99.865,99.8721,99.8792,99.8863,99.8934,99.9005,99.9076,99.9147,99.9218,99.9289,99.936,99.9432,99.9503,99.9574,99.9645,99.9716,99.9787,99.9858,99.9929,100]
-					}
-				]
-			}
-		]
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"evaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "",
+		"summary": {
+			"dictionary": "Adult",
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 34291,
+			"learningTask": "Classification analysis",
+			"targetVariable": "class",
+			"mainTargetValue": "more"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 0.86947,
+				"compression": 0.490471,
+				"auc": 0.926153
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate relationship",
+				"accuracy": 0.761628,
+				"compression": 0.209952,
+				"auc": 0.780095
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[24751,3110],
+						[1366,5064]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["less","more"],
+					"matrix": [
+						[26117,8174],
+						[0,0]
+					]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "less",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.131298,0.262595,0.393893,0.52519,0.656488,0.787786,0.919083,1.05038,1.18168,1.31298,1.44427,1.57557,1.70687,1.83817,1.96946,2.10076,2.23206,2.36336,2.49465,2.62595,2.75725,2.88855,3.01985,3.15114,3.28244,3.41374,3.54504,3.67633,3.80763,3.93893,4.07023,4.20152,4.33282,4.46412,4.59542,4.72671,4.85801,4.98931,5.12061,5.2519,5.3832,5.5145,5.6458,5.7771,5.90839,6.03969,6.17099,6.30229,6.43358,6.56488,6.69618,6.82748,6.95877,7.09007,7.22137,7.35267,7.48396,7.61526,7.74656,7.87786,8.00915,8.14045,8.27175,8.40305,8.53435,8.66564,8.79694,8.92824,9.05954,9.19083,9.32213,9.45343,9.58473,9.71602,9.84732,9.97862,10.1099,10.2412,10.3725,10.5038,10.6351,10.7664,10.8977,11.029,11.1603,11.2916,11.4229,11.5542,11.6855,11.8168,11.9481,12.0794,12.2107,12.342,12.4733,12.6046,12.7359,12.8672,12.9985,13.1298,13.2611,13.3924,13.5237,13.655,13.7863,13.9175,14.0488,14.1801,14.3114,14.4427,14.574,14.7053,14.8366,14.9679,15.0992,15.2305,15.3618,15.4931,15.6244,15.7557,15.887,16.0183,16.1496,16.2809,16.4122,16.5435,16.6748,16.8061,16.9374,17.0687,17.2,17.3313,17.4626,17.5939,17.7252,17.8565,17.9878,18.1191,18.2504,18.3817,18.513,18.6443,18.7756,18.9069,19.0382,19.1695,19.3008,19.432,19.5633,19.6946,19.8259,19.9572,20.0885,20.2198,20.3511,20.4824,20.6137,20.745,20.8763,21.0076,21.1389,21.2702,21.4015,21.5328,21.6641,21.7954,21.9267,22.058,22.1893,22.3206,22.4519,22.5832,22.7145,22.8458,22.9771,23.1084,23.2397,23.371,23.5023,23.6336,23.7649,23.8962,24.0275,24.1588,24.2901,24.4214,24.5527,24.684,24.8153,24.9465,25.0778,25.2091,25.3404,25.4717,25.603,25.7343,25.8656,25.9969,26.1282,26.2595,26.3908,26.5221,26.6534,26.7847,26.916,27.0473,27.1786,27.3099,27.4412,27.5725,27.7038,27.8351,27.9664,28.0977,28.229,28.3603,28.4916,28.6229,28.7542,28.8855,29.0168,29.1481,29.2794,29.4107,29.542,29.6733,29.8046,29.9359,30.0672,30.1985,30.3298,30.461,30.5923,30.7236,30.8549,30.9862,31.1175,31.2488,31.3801,31.5114,31.6427,31.774,31.9053,32.0366,32.1679,32.2992,32.4305,32.5618,32.6931,32.8244,32.9557,33.087,33.2183,33.3496,33.4809,33.6122,33.7435,33.8748,34.0061,34.1374,34.2687,34.4,34.5313,34.6626,34.7939,34.9252,35.0565,35.1878,35.3191,35.4504,35.5817,35.713,35.8443,35.9755,36.1068,36.2381,36.3694,36.5007,36.632,36.7633,36.8946,37.0259,37.1572,37.2885,37.4198,37.5511,37.6824,37.8137,37.945,38.0763,38.2076,38.3389,38.4702,38.6015,38.7328,38.8641,38.9954,39.1267,39.258,39.3893,39.5206,39.6519,39.7832,39.9145,40.0458,40.1771,40.3084,40.4397,40.571,40.7023,40.8336,40.9649,41.0962,41.2275,41.3588,41.49,41.6213,41.7526,41.8839,42.0152,42.1465,42.2778,42.4091,42.5404,42.6717,42.803,42.9343,43.0656,43.1969,43.3282,43.4595,43.5908,43.7221,43.8534,43.9847,44.116,44.2473,44.3786,44.5099,44.6412,44.7725,44.9038,45.0351,45.1664,45.2977,45.429,45.5603,45.6916,45.8229,45.9542,46.0855,46.2168,46.3481,46.4794,46.6107,46.742,46.8733,47.0045,47.1358,47.2671,47.3984,47.5297,47.661,47.7923,47.9236,48.0549,48.1862,48.3175,48.4488,48.5801,48.7114,48.8427,48.974,49.1053,49.2366,49.3679,49.4992,49.6305,49.7618,49.8931,50.0244,50.1557,50.287,50.4183,50.5496,50.6809,50.8122,50.9435,51.0748,51.2061,51.3374,51.4687,51.6,51.7313,51.8626,51.9939,52.1252,52.2565,52.3878,52.519,52.6503,52.7816,52.9129,53.0442,53.1755,53.3068,53.4381,53.5694,53.7007,53.832,53.9633,54.0946,54.2259,54.3572,54.4885,54.6198,54.7511,54.8824,55.0137,55.145,55.2763,55.4076,55.5389,55.6702,55.8015,55.9328,56.0641,56.1954,56.3267,56.458,56.5893,56.7206,56.8519,56.9832,57.1145,57.2458,57.3771,57.5084,57.6397,57.771,57.9023,58.0335,58.1648,58.2961,58.4274,58.5587,58.69,58.8213,58.9526,59.0839,59.2152,59.3465,59.4778,59.6091,59.7404,59.8717,60.003,60.1343,60.2656,60.3969,60.5282,60.6595,60.7908,60.9221,61.0534,61.1847,61.316,61.4473,61.5786,61.7099,61.8412,61.9725,62.1038,62.2351,62.3664,62.4977,62.629,62.7603,62.8916,63.0229,63.1542,63.2855,63.4168,63.548,63.6793,63.8106,63.9419,64.0732,64.2045,64.3358,64.4671,64.5984,64.7297,64.861,64.9923,65.1236,65.2549,65.3862,65.5175,65.6488,65.7801,65.9114,66.0427,66.174,66.3053,66.4366,66.5679,66.6992,66.8305,66.9618,67.0931,67.2244,67.3557,67.487,67.6183,67.7496,67.8809,68.0122,68.1435,68.2748,68.4061,68.5374,68.6687,68.8,68.9313,69.0625,69.1938,69.3251,69.4564,69.5877,69.719,69.8503,69.9816,70.1129,70.2442,70.3755,70.5068,70.6381,70.7694,70.9007,71.032,71.1633,71.2946,71.4259,71.5572,71.6885,71.8198,71.9511,72.0824,72.2137,72.345,72.4763,72.6076,72.7389,72.8702,73.0015,73.1328,73.2641,73.3954,73.5267,73.658,73.7893,73.9206,74.0519,74.1832,74.3145,74.4458,74.577,74.7083,74.8396,74.9709,75.1022,75.2335,75.3648,75.4961,75.6274,75.7587,75.89,76.0213,76.1526,76.2839,76.4152,76.5465,76.6778,76.8091,76.9404,77.0717,77.203,77.3343,77.4656,77.5969,77.7282,77.8595,77.9908,78.1221,78.2534,78.3847,78.516,78.6473,78.7786,78.9099,79.0412,79.1725,79.3038,79.4351,79.5664,79.6977,79.829,79.9603,80.0915,80.2228,80.3541,80.4854,80.6167,80.748,80.8793,81.0106,81.1419,81.2732,81.4045,81.5358,81.6671,81.7984,81.9297,82.061,82.1923,82.3236,82.4549,82.5862,82.7175,82.8488,82.9801,83.1114,83.2427,83.374,83.5053,83.6366,83.7679,83.8992,84.0305,84.1618,84.2931,84.4244,84.5557,84.687,84.8183,84.9496,85.0809,85.2122,85.3435,85.4748,85.606,85.7373,85.8686,85.9999,86.1312,86.2625,86.3938,86.5251,86.6564,86.7877,86.919,87.0503,87.1816,87.3129,87.4442,87.5755,87.7068,87.8381,87.9694,88.1007,88.232,88.3633,88.4946,88.6259,88.7572,88.8885,89.0198,89.1511,89.2824,89.4137,89.545,89.6763,89.8076,89.9389,90.0702,90.2015,90.3328,90.4641,90.5954,90.7267,90.858,90.9893,91.1205,91.2518,91.3831,91.5144,91.6457,91.777,91.9083,92.0396,92.1709,92.3022,92.4335,92.5648,92.6961,92.8274,92.9587,93.09,93.2213,93.3526,93.4839,93.6152,93.7465,93.8778,94.0091,94.1404,94.2717,94.403,94.5343,94.6656,94.7969,94.9282,95.0595,95.1908,95.3221,95.4534,95.5847,95.716,95.8473,95.9786,96.1099,96.2412,96.3725,96.5038,96.635,96.7663,96.8976,97.0289,97.1602,97.2915,97.4228,97.5541,97.6854,97.8167,97.948,98.0793,98.2106,98.3419,98.4732,98.6045,98.7358,98.8671,98.9984,99.1297,99.261,99.3923,99.5236,99.6549,99.7862,99.9175,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.131298,0.262595,0.393893,0.52519,0.656488,0.787786,0.919083,1.05038,1.18168,1.31298,1.44427,1.57557,1.70687,1.83817,1.96946,2.10076,2.23206,2.36336,2.49465,2.62595,2.75725,2.88855,3.01985,3.15114,3.28244,3.41374,3.54504,3.67633,3.80763,3.93893,4.07023,4.20152,4.33282,4.46412,4.59542,4.72671,4.85801,4.98931,5.12061,5.2519,5.3832,5.5145,5.6458,5.7771,5.90839,6.03969,6.17099,6.30229,6.43358,6.56488,6.69618,6.82731,6.95495,7.08624,7.21754,7.34884,7.48014,7.61143,7.74273,7.87403,8.00533,8.13662,8.26792,8.39922,8.53052,8.66181,8.79311,8.92441,9.05571,9.187,9.3183,9.4496,9.5809,9.7122,9.84349,9.97479,10.1061,10.2374,10.3687,10.5,10.6313,10.7626,10.8939,11.0252,11.1565,11.2878,11.4191,11.5504,11.6778,11.8091,11.9404,12.0717,12.203,12.3343,12.4656,12.5969,12.7282,12.8595,12.9908,13.1221,13.2534,13.3847,13.516,13.6435,13.7748,13.9022,14.0335,14.1648,14.2961,14.4274,14.5587,14.69,14.8213,14.9526,15.0839,15.2152,15.3465,15.4778,15.6091,15.7404,15.8717,16.003,16.1343,16.2656,16.3969,16.5282,16.6595,16.7908,16.9221,17.0534,17.1847,17.316,17.4473,17.5786,17.7099,17.8412,17.9686,18.0999,18.2312,18.3625,18.4938,18.6251,18.7564,18.8877,19.019,19.1503,19.2816,19.4129,19.5442,19.6755,19.8068,19.9381,20.0694,20.2007,20.332,20.4633,20.5946,20.7259,20.8572,20.9885,21.1198,21.2511,21.3824,21.5137,21.6373,21.7686,21.8999,22.0312,22.1625,22.2938,22.4251,22.5564,22.6877,22.819,22.9503,23.0816,23.2129,23.3442,23.4755,23.6068,23.7381,23.8655,23.9968,24.1281,24.2594,24.3907,24.522,24.6533,24.7846,24.9159,25.0472,25.1785,25.3098,25.4411,25.5686,25.6999,25.8312,25.9625,26.0899,26.2212,26.3525,26.4838,26.6151,26.7464,26.8777,27.009,27.1403,27.2716,27.4029,27.5342,27.6655,27.7968,27.9281,28.0594,28.1907,28.322,28.4533,28.5808,28.7121,28.8434,28.9747,29.1021,29.2334,29.3647,29.496,29.6235,29.7548,29.8861,30.0136,30.1448,30.2723,30.4036,30.5349,30.6662,30.7937,30.925,31.0563,31.1876,31.3189,31.4463,31.5738,31.7051,31.8364,31.9677,32.099,32.2303,32.3616,32.4929,32.6204,32.7517,32.883,33.0143,33.1455,33.2768,33.4081,33.5394,33.6707,33.802,33.9295,34.057,34.1883,34.3196,34.4509,34.5822,34.7135,34.8448,34.9761,35.1074,35.2387,35.37,35.5012,35.6325,35.7638,35.8951,36.0263,36.1539,36.2852,36.4165,36.5478,36.6791,36.8104,36.9417,37.073,37.2043,37.3356,37.4631,37.5944,37.7256,37.8569,37.9882,38.1195,38.2508,38.3821,38.5134,38.6447,38.7722,38.9035,39.0348,39.1623,39.2936,39.4249,39.5523,39.6798,39.8111,39.9424,40.0737,40.2012,40.3286,40.4599,40.5797,40.711,40.8385,40.9698,41.1011,41.2324,41.3637,41.495,41.6263,41.7499,41.8774,41.998,42.1285,42.2598,42.3911,42.5212,42.6422,42.7658,42.8933,43.0246,43.1521,43.2834,43.4109,43.5383,43.6696,43.8009,43.9322,44.0635,44.1948,44.3261,44.4536,44.581,44.7123,44.8436,44.9749,45.0871,45.2107,45.3382,45.4618,45.5855,45.7168,45.8442,45.9739,46.1013,46.2305,46.3568,46.4854,46.6167,46.7442,46.8755,47.0068,47.1381,47.2694,47.4007,47.532,47.6556,47.7869,47.9144,48.0457,48.1731,48.2968,48.4281,48.5594,48.6907,48.8181,48.9494,49.0731,49.2005,49.328,49.4593,49.5906,49.7181,49.8455,49.9768,50.1005,50.228,50.3587,50.4829,50.6142,50.7417,50.873,51.0004,51.1317,51.2481,51.379,51.5103,51.6339,51.7614,51.8889,52.0198,52.1476,52.2723,52.3873,52.5147,52.6384,52.7658,52.8895,53.0208,53.1521,53.2795,53.4108,53.5383,53.6696,53.7932,53.9207,54.0453,54.1642,54.2955,54.4268,54.5504,54.6779,54.8092,54.929,55.0603,55.1877,55.2999,55.4312,55.5625,55.6938,55.8213,55.9487,56.0724,56.1856,56.3082,56.4356,56.5593,56.6906,56.8219,56.9493,57.073,57.189,57.3203,57.4364,57.5675,57.6912,57.8206,57.9385,58.0621,58.191,58.3094,58.4292,58.5528,58.6803,58.8039,58.9199,59.0321,59.1634,59.2947,59.4217,59.5419,59.6694,59.7854,59.9167,60.033,60.1563,60.2838,60.4151,60.5425,60.6738,60.7975,60.9214,61.0484,61.1684,61.292,61.4119,61.5202,61.6438,61.7637,61.8796,61.9918,62.1231,62.2506,62.3603,62.471,62.587,62.7183,62.8381,62.9617,63.0854,63.2128,63.3365,63.464,63.5799,63.6959,63.8157,63.9432,64.0579,64.1828,64.3103,64.4224,64.5461,64.6735,64.7972,64.917,65.04,65.1643,65.2917,65.4154,65.5352,65.6627,65.7901,65.9138,66.0336,66.1569,66.2758,66.3968,66.5167,66.6365,66.7639,66.8799,67.0024,67.1249,67.2432,67.3542,67.4751,67.5958,67.7186,67.8346,67.9519,68.0704,68.1978,68.3177,68.4382,68.5534,68.6809,68.7951,68.9167,69.0327,69.1448,69.2608,69.373,69.489,69.6203,69.7362,69.8504,69.972,70.088,70.1925,70.304,70.4206,70.529,70.6416,70.7609,70.8731,70.9929,71.1012,71.2287,71.3408,71.4607,71.5766,71.6928,71.8086,71.9198,72.0367,72.1544,72.2671,72.377,72.4853,72.5996,72.7211,72.8371,72.9588,73.0806,73.1889,73.2934,73.4055,73.5177,73.6337,73.7346,73.858,73.9701,74.0823,74.2059,74.3178,74.4226,74.5184,74.6425,74.7514,74.8674,74.9604,75.0725,75.1898,75.2992,75.3975,75.5058,75.6098,75.711,75.8193,75.9267,76.0321,76.1449,76.2645,76.3839,76.4814,76.5816,76.6897,76.7789,76.8834,77.0032,77.1115,77.2084,77.309,77.4285,77.5355,77.6417,77.7576,77.8643,77.9743,78.0588,78.1633,78.2648,78.3616,78.4815,78.601,78.7058,78.8161,78.9212,79.0192,79.1385,79.2474,79.3616,79.4679,79.5762,79.6761,79.7622,79.8593,79.9674,80.056,80.1547,80.254,80.3568,80.4592,80.5608,80.6644,80.7615,80.8734,80.9817,81.0938,81.1838,81.2659,81.3676,81.461,81.5474,81.648,81.7571,81.8663,81.9659,82.039,82.1361,82.2444,82.3327,82.4304,82.5158,82.5993,82.6978,82.7871,82.8867,82.9768,83.0585,83.1421,83.2215,83.3259,83.4037,83.505,83.5991,83.6939,83.7736,83.8688,83.9567,84.0476,84.1365,84.221,84.3108,84.4,84.4701,84.5631,84.6498,84.7455,84.8451,84.9504,85.0243,85.1155,85.2264,85.3148,85.3757,85.4663,85.5604,85.6395,85.7569,85.8575,85.9349,86.0137,86.093,86.181,86.269,86.371,86.4497,86.5389,86.6256,86.6977,86.7801,86.8553,86.9458,87.0429,87.133,87.227,87.3194,87.4194,87.4983,87.5734,87.6537,87.734,87.8143,87.8946,87.976,88.0601,88.1545,88.232,88.318,88.3911,88.4717,88.5477,88.6304,88.7193,88.8092,88.9022,88.9842,89.0664,89.167,89.2868,89.3479,89.4245,89.4819,89.5736,89.6616,89.7454,89.8262,89.8998,89.98,90.0665,90.1568,90.2296,90.2931,90.3744,90.4645,90.5502,90.6289,90.6968,90.784,90.8642,90.9431,91.0313,91.1106,91.1783,91.2586,91.3254,91.4114,91.4855,91.5782,91.6605,91.7455,91.8279,91.9069,91.9734,92.0535,92.1412,92.2228,92.3016,92.374,92.4443,92.5358,92.5938,92.6499,92.748,92.8114,92.8837,92.9778,93.0536,93.1218,93.1868,93.2683,93.317,93.3679,93.4449,93.5073,93.5755,93.6333,93.6879,93.7444,93.8252,93.8924,93.9687,94.0427,94.1405,94.2134,94.2806,94.349,94.4021,94.483,94.5483,94.6165,94.6767,94.7435,94.7982,94.8727,94.9426,95.0119,95.0676,95.1259,95.1896,95.2591,95.3169,95.3755,95.426,95.4623,95.5355,95.5988,95.6576,95.7223,95.8059,95.8694,95.9184,95.9762,96.0572,96.1107,96.1634,96.2247,96.269,96.3381,96.3828,96.4429,96.4949,96.5617,96.6152,96.6716,96.7096,96.7653,96.8258,96.8804,96.935,96.9846,97.0326,97.0847,97.1436,97.1767,97.2309,97.2818,97.3198,97.3792,97.4116,97.4624,97.497,97.5303,97.583,97.6414,97.672,97.7046,97.7564,97.7869,97.8398,97.8969,97.9406,98.0042,98.0511,98.0945,98.153,98.1963,98.2264,98.2607,98.3149,98.3424,98.3804,98.4146,98.4569,98.5029,98.5391,98.5756,98.6103,98.6511,98.6909,98.7214,98.7525,98.7762,98.8205,98.8705,98.9126,98.9624,98.9945,99.0205,99.0543,99.0886,99.1354,99.1691,99.1921,99.2027,99.238,99.2648,99.3015,99.3376,99.3644,99.3974,99.4619,99.4811,99.5176,99.552,99.5761,99.5865,99.605,99.6264,99.6532,99.6805,99.6937,99.714,99.7315,99.7549,99.7779,99.8121,99.8315,99.8468,99.8622,99.8813,99.9004,99.9196,99.9426,99.9464,99.9579,99.9579,99.9655,99.9694,99.9732,99.9732,99.9732,99.9809,99.9809,99.9809,99.9809,99.9847,99.9885,99.9885,99.9923,99.9962,99.9962,99.9962,99.9962,99.9962,99.9962,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.129358,0.258716,0.388074,0.517432,0.646791,0.776149,0.905507,1.03486,1.16422,1.29358,1.42294,1.5523,1.68166,1.81101,1.94037,2.06973,2.19909,2.32845,2.4578,2.58716,2.71652,2.84588,2.97524,3.10459,3.23395,3.36331,3.49267,3.62203,3.75139,3.88074,4.0101,4.13946,4.26882,4.39818,4.52753,4.65689,4.78625,4.91561,5.04497,5.17432,5.30368,5.43304,5.5624,5.69176,5.82111,5.95047,6.07983,6.20919,6.33855,6.46791,6.59726,6.72662,6.85598,6.98534,7.1147,7.24405,7.37341,7.50277,7.63213,7.76149,7.89084,8.0202,8.14956,8.27892,8.40828,8.53764,8.66699,8.79635,8.92571,9.05507,9.18443,9.31378,9.44314,9.5725,9.70186,9.83122,9.96057,10.0899,10.2193,10.3486,10.478,10.6074,10.7367,10.8661,10.9954,11.1248,11.2542,11.3835,11.5129,11.6422,11.7716,11.9009,12.0303,12.1597,12.289,12.4184,12.5477,12.6771,12.8065,12.9358,13.0652,13.1945,13.3239,13.4532,13.5826,13.712,13.8413,13.9707,14.1,14.2294,14.3588,14.4881,14.6175,14.7468,14.8762,15.0055,15.1349,15.2643,15.3936,15.523,15.6523,15.7817,15.911,16.0404,16.1698,16.2991,16.4285,16.5578,16.6872,16.8166,16.9459,17.0753,17.2046,17.334,17.4633,17.5927,17.7221,17.8514,17.9808,18.1101,18.2395,18.3689,18.4982,18.6276,18.7569,18.8863,19.0156,19.145,19.2744,19.4037,19.5331,19.6624,19.7918,19.9211,20.0505,20.1798,20.307,20.4343,20.5615,20.6888,20.8161,20.9433,21.0706,21.1978,21.3251,21.4523,21.5796,21.7068,21.8341,21.9614,22.0886,22.2159,22.3431,22.4704,22.5976,22.7249,22.8522,22.9794,23.1067,23.2339,23.3612,23.4884,23.6157,23.7429,23.8702,23.9975,24.1247,24.2487,24.3718,24.4948,24.6179,24.741,24.864,24.9871,25.1102,25.2332,25.3563,25.4794,25.6024,25.7255,25.8486,25.9716,26.0947,26.2178,26.3408,26.4639,26.587,26.71,26.8331,26.9562,27.0792,27.2023,27.3254,27.4484,27.5715,27.6946,27.8176,27.9407,28.0638,28.1868,28.3099,28.433,28.556,28.6791,28.8022,28.9252,29.0483,29.1714,29.2944,29.4175,29.5406,29.6636,29.7867,29.9098,30.0328,30.1559,30.279,30.402,30.5251,30.6482,30.7712,30.8943,31.0174,31.1404,31.2635,31.3866,31.5096,31.6327,31.7558,31.8788,32.0019,32.125,32.248,32.3711,32.4942,32.6172,32.7403,32.8634,32.9864,33.1095,33.2326,33.3556,33.4787,33.6018,33.7248,33.8479,33.971,34.094,34.2171,34.3402,34.4632,34.5863,34.7094,34.8324,34.9555,35.0786,35.2016,35.3247,35.4478,35.5708,35.6939,35.817,35.94,36.0631,36.1862,36.3092,36.4323,36.5554,36.6784,36.8015,36.9246,37.0476,37.1698,37.288,37.4062,37.5243,37.6425,37.7607,37.8789,37.9971,38.1152,38.2334,38.3516,38.4698,38.588,38.7061,38.8243,38.9425,39.0607,39.1789,39.297,39.4152,39.5334,39.6516,39.7698,39.8879,40.0061,40.1243,40.2425,40.3607,40.4788,40.597,40.7152,40.8334,40.9516,41.0697,41.1879,41.3061,41.4243,41.5425,41.6606,41.7788,41.897,42.0152,42.1333,42.2515,42.3697,42.4879,42.6061,42.7242,42.8424,42.9606,43.0788,43.197,43.3151,43.4333,43.5515,43.6697,43.7879,43.906,44.0242,44.1424,44.2606,44.3788,44.4969,44.6151,44.7333,44.8515,44.9697,45.0878,45.206,45.3242,45.4424,45.5606,45.6787,45.7969,45.9151,46.0333,46.1515,46.2696,46.3878,46.506,46.6242,46.7424,46.8605,46.9787,47.0969,47.2151,47.3333,47.4514,47.5696,47.6878,47.806,47.9242,48.0423,48.1605,48.2787,48.3969,48.5151,48.6332,48.7514,48.8696,48.9878,49.106,49.2241,49.3423,49.4605,49.5787,49.6969,49.815,49.9332,50.0514,50.1696,50.2877,50.4059,50.5241,50.6423,50.7605,50.8786,50.9968,51.115,51.2332,51.3514,51.4695,51.5877,51.7059,51.8241,51.9423,52.0604,52.1786,52.2968,52.415,52.5332,52.6513,52.7695,52.8877,53.0059,53.1241,53.2422,53.3604,53.4786,53.5968,53.715,53.8331,53.9513,54.0695,54.1877,54.3059,54.424,54.5422,54.6604,54.7786,54.8968,55.0149,55.1331,55.2513,55.3695,55.4877,55.6058,55.724,55.8422,55.9604,56.0786,56.1967,56.3149,56.4331,56.5513,56.6695,56.7876,56.9058,57.024,57.1422,57.2604,57.3785,57.4967,57.6149,57.7331,57.8513,57.9694,58.0876,58.2058,58.324,58.4421,58.5603,58.6785,58.7967,58.9149,59.033,59.1512,59.2694,59.3876,59.5058,59.6239,59.7421,59.8603,59.9785,60.0967,60.2148,60.333,60.4512,60.5694,60.6876,60.8057,60.9239,61.0421,61.1603,61.2785,61.3966,61.5148,61.633,61.7512,61.8694,61.9875,62.1057,62.2239,62.3421,62.4603,62.5784,62.6966,62.8148,62.933,63.0512,63.1693,63.2875,63.4057,63.5239,63.6421,63.7602,63.8784,63.9966,64.1148,64.233,64.3511,64.4693,64.5875,64.7057,64.8239,64.942,65.0602,65.1784,65.2966,65.4148,65.5329,65.6511,65.7693,65.8875,66.0057,66.1238,66.242,66.3602,66.4784,66.5965,66.7147,66.8329,66.9511,67.0693,67.1874,67.3056,67.4238,67.542,67.6602,67.7519,67.8239,67.8959,67.9678,68.0398,68.1118,68.1838,68.2558,68.3278,68.3997,68.4717,68.5437,68.6157,68.6877,68.7597,68.8316,68.9036,68.9756,69.0476,69.1196,69.1915,69.2635,69.3355,69.4075,69.4795,69.5515,69.6234,69.6954,69.7674,69.8394,69.9114,69.9834,70.0553,70.1273,70.1993,70.2713,70.3433,70.4152,70.4872,70.5592,70.6312,70.7032,70.7752,70.8471,70.9191,70.9911,71.0631,71.1351,71.2071,71.279,71.351,71.423,71.495,71.567,71.6389,71.7109,71.7829,71.8549,71.9269,71.9989,72.0708,72.1428,72.2148,72.2868,72.3588,72.4308,72.5027,72.5747,72.6467,72.7187,72.7907,72.8626,72.9346,73.0066,73.0786,73.1506,73.2226,73.2945,73.3665,73.4385,73.5105,73.5825,73.6545,73.7264,73.7984,73.8704,73.9424,74.0144,74.0863,74.1583,74.2303,74.3023,74.3743,74.4463,74.5182,74.5902,74.6622,74.7342,74.8062,74.8782,74.9501,75.0221,75.0941,75.1661,75.2381,75.31,75.382,75.454,75.526,75.598,75.67,75.7419,75.8139,75.8859,75.9579,76.0299,76.1019,76.1738,76.2458,76.3178,76.3898,76.4618,76.5337,76.6057,76.6777,76.7497,76.8217,76.8937,76.9656,77.0376,77.1096,77.1816,77.2536,77.3256,77.3975,77.4695,77.5415,77.6135,77.6855,77.7574,77.8294,77.9014,77.9734,78.0454,78.1174,78.1893,78.2613,78.3333,78.4053,78.4773,78.5493,78.6212,78.6932,78.7652,78.8372,78.9092,78.9811,79.0531,79.1251,79.1971,79.2691,79.3411,79.413,79.485,79.557,79.629,79.701,79.773,79.8449,79.9169,79.9889,80.0609,80.1329,80.2048,80.2768,80.3488,80.4208,80.4928,80.5648,80.6367,80.7087,80.7807,80.8527,80.9247,80.9967,81.0686,81.1406,81.2126,81.2846,81.3566,81.4285,81.5005,81.5725,81.6445,81.7165,81.7885,81.8604,81.9324,82.0044,82.0764,82.1484,82.2204,82.2923,82.3643,82.4363,82.5083,82.5803,82.6522,82.7242,82.7962,82.8682,82.9402,83.0122,83.0841,83.1561,83.2281,83.3001,83.3721,83.4441,83.516,83.588,83.66,83.732,83.804,83.8759,83.9479,84.0199,84.0919,84.1639,84.2359,84.3078,84.3798,84.4518,84.5238,84.5958,84.6678,84.7397,84.8117,84.8837,84.9557,85.0277,85.0996,85.1716,85.2436,85.3156,85.3876,85.4596,85.5315,85.6035,85.6755,85.7475,85.8195,85.8915,85.9634,86.0354,86.1074,86.1794,86.2514,86.3233,86.3953,86.4673,86.5393,86.6113,86.6833,86.7552,86.8272,86.8992,86.9712,87.0432,87.1152,87.1871,87.2591,87.3311,87.4031,87.4751,87.547,87.619,87.691,87.763,87.835,87.907,87.9789,88.0509,88.1229,88.1949,88.2669,88.3389,88.4108,88.4828,88.5548,88.6268,88.6988,88.7707,88.8427,88.9147,88.9867,89.0587,89.1307,89.2026,89.2746,89.3466,89.4186,89.4906,89.5626,89.6345,89.7065,89.7785,89.8505,89.9225,89.9945,90.0664,90.1384,90.2104,90.2824,90.3544,90.4263,90.4983,90.5703,90.6423,90.7143,90.7863,90.8582,90.9302,91.0022,91.0742,91.1462,91.2182,91.2901,91.3621,91.4341,91.5061,91.5781,91.65,91.722,91.794,91.866,91.938,92.01,92.0819,92.1539,92.2259,92.2979,92.3699,92.4419,92.5138,92.5858,92.6578,92.7298,92.8018,92.8737,92.9457,93.0177,93.0897,93.1617,93.2337,93.3056,93.3776,93.4496,93.5216,93.5936,93.6656,93.7375,93.8095,93.8815,93.9535,94.0255,94.0974,94.1694,94.2414,94.3134,94.3854,94.4574,94.5293,94.6013,94.6733,94.7453,94.8173,94.8893,94.9612,95.0332,95.1052,95.1772,95.2492,95.3211,95.3931,95.4651,95.5371,95.6091,95.6811,95.753,95.825,95.897,95.969,96.041,96.113,96.1849,96.2569,96.3289,96.4009,96.4729,96.5448,96.6168,96.6888,96.7608,96.8328,96.9048,96.9767,97.0487,97.1207,97.1927,97.2647,97.3367,97.4086,97.4806,97.5526,97.6246,97.6966,97.7685,97.8405,97.9125,97.9845,98.0565,98.1285,98.2004,98.2724,98.3444,98.4164,98.4884,98.5604,98.6323,98.7043,98.7763,98.8483,98.9203,98.9922,99.0642,99.1362,99.2082,99.2802,99.3522,99.4241,99.4961,99.5681,99.6401,99.7121,99.7841,99.856,99.928,100]
+					}
+				]
+			},
+			{
+				"targetValue": "more",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.419513,0.839026,1.25854,1.67805,2.09757,2.51708,2.93659,3.3561,3.77562,4.19513,4.61464,5.03416,5.45367,5.87318,6.2927,6.71221,7.13172,7.55124,7.97075,8.39026,8.80977,9.22929,9.6488,10.0683,10.4878,10.9073,11.3269,11.7464,12.1659,12.5854,13.0049,13.4244,13.8439,14.2634,14.683,15.1025,15.522,15.9415,16.361,16.7805,17.2,17.6195,18.0391,18.4586,18.8781,19.2976,19.7171,20.1366,20.5561,20.9757,21.3952,21.8147,22.2342,22.6537,23.0732,23.4927,23.9122,24.3318,24.7513,25.1708,25.5903,26.0098,26.4293,26.8488,27.2684,27.6879,28.1074,28.5269,28.9464,29.3659,29.7854,30.2049,30.6245,31.044,31.4635,31.883,32.3025,32.722,33.1415,33.561,33.9806,34.4001,34.8196,35.2391,35.6586,36.0781,36.4976,36.9172,37.3367,37.7562,38.1757,38.5952,39.0147,39.4342,39.8537,40.2733,40.6928,41.1123,41.5318,41.9513,42.3708,42.7903,43.2098,43.6294,44.0489,44.4684,44.8879,45.3074,45.7269,46.1464,46.566,46.9855,47.405,47.8245,48.244,48.6635,49.083,49.5025,49.9221,50.3416,50.7611,51.1806,51.6001,52.0196,52.4391,52.8586,53.2782,53.6977,54.1172,54.5367,54.9562,55.3757,55.7952,56.2148,56.6343,57.0538,57.4733,57.8928,58.3123,58.7318,59.1513,59.5709,59.9904,60.4099,60.8294,61.2489,61.6684,62.0879,62.5075,62.927,63.3465,63.766,64.1855,64.605,65.0245,65.444,65.8636,66.2831,66.7026,67.1221,67.5416,67.9611,68.3806,68.8001,69.2197,69.6392,70.0587,70.4782,70.8977,71.3172,71.7367,72.1563,72.5758,72.9953,73.4148,73.8343,74.2538,74.6733,75.0928,75.5124,75.9319,76.3514,76.7709,77.1904,77.6099,78.0294,78.4489,78.8685,79.288,79.7075,80.127,80.5465,80.966,81.3855,81.8051,82.2246,82.6441,83.0636,83.4831,83.9026,84.3221,84.7416,85.1612,85.5807,86.0002,86.4197,86.8392,87.2587,87.6782,88.0977,88.5173,88.9368,89.3563,89.7758,90.1953,90.6148,91.0343,91.4539,91.8734,92.2929,92.7124,93.1319,93.5514,93.9709,94.3904,94.81,95.2295,95.649,96.0685,96.488,96.9075,97.327,97.7466,98.1661,98.5856,99.0051,99.4246,99.8441,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.419513,0.839026,1.25854,1.67805,2.09757,2.51708,2.93659,3.3561,3.77562,4.19513,4.61464,5.03416,5.45367,5.87318,6.2927,6.71221,7.13172,7.55124,7.97075,8.39026,8.80977,9.22929,9.6488,10.0683,10.4878,10.9073,11.3269,11.7464,12.1659,12.5854,13.0049,13.4244,13.8439,14.2634,14.683,15.1025,15.522,15.9415,16.361,16.7805,17.2,17.6195,18.0391,18.4586,18.8659,19.2854,19.7049,20.1244,20.5439,20.9634,21.3707,21.778,22.1975,22.6048,23.0121,23.4316,23.8511,24.2706,24.6656,25.0851,25.5047,25.9119,26.3192,26.7143,27.1338,27.5166,27.9239,28.27,28.6283,28.9867,29.345,29.7156,30.0862,30.4435,30.7539,31.1,31.4448,31.8082,32.1629,32.5401,32.8725,33.2064,33.5576,33.9178,34.3041,34.6468,34.9562,35.2591,35.6172,35.8307,36.1449,36.4787,36.783,37.0853,37.4192,37.7258,38.1114,38.4575,38.7693,39.0392,39.349,39.6608,39.9973,40.314,40.5744,40.8594,41.1194,41.3974,41.7409,42.0611,42.3831,42.6755,42.9648,43.2735,43.5762,43.8801,44.1526,44.4368,44.7471,45.0454,45.3769,45.6233,45.9334,46.2564,46.5378,46.7702,47.0511,47.3208,47.5372,47.8169,48.054,48.3045,48.6268,48.8805,49.196,49.5177,49.7507,50.0019,50.315,50.6239,50.8811,51.1972,51.4266,51.725,51.9819,52.228,52.5419,52.7733,53.0262,53.2924,53.5534,53.7985,54.0436,54.2696,54.5113,54.8093,55.0488,55.2973,55.5035,55.7568,55.9841,56.2608,56.4595,56.7375,56.9613,57.2123,57.461,57.6215,57.8564,58.1193,58.3359,58.4884,58.7011,58.933,59.15,59.3358,59.6392,59.8974,60.1297,60.3645,60.562,60.7778,61.0113,61.2529,61.4509,61.6472,61.8286,62.0733,62.2793,62.5066,62.708,62.919,63.08,63.3298,63.5307,63.7356,63.9222,64.0291,64.2125,64.3881,64.593,64.7541,64.9931,65.2382,65.4729,65.6746,65.8948,66.0683,66.3251,66.5892,66.7482,66.9599,67.1616,67.3388,67.4578,67.6462,67.8633,67.9694,68.2095,68.4437,68.5711,68.7658,68.954,69.1216,69.2806,69.4199,69.5836,69.7905,69.9576,70.1139,70.2616,70.4184,70.5415,70.7244,70.8692,71.0751,71.2381,71.4413,71.6073,71.7453,71.9125,72.076,72.2168,72.4191,72.5874,72.733,72.8646,73.0246,73.2411,73.4279,73.559,73.702,73.8652,74.0496,74.2109,74.3628,74.5013,74.6278,74.8638,75.0387,75.2628,75.2997,75.3976,75.5545,75.7119,75.8344,75.9667,76.102,76.2575,76.434,76.5961,76.7819,76.9268,77.0986,77.2165,77.3673,77.5269,77.6898,77.8527,78.0156,78.1785,78.3582,78.5255,78.6254,78.7497,78.8689,79.0007,79.11,79.2403,79.4196,79.5756,79.7649,79.9074,80.0419,80.2099,80.3036,80.442,80.5804,80.7463,80.9141,81.0864,81.1842,81.2287,81.3956,81.5146,81.6443,81.8693,82.0065,82.0717,82.1997,82.3832,82.4663,82.5675,82.6814,82.8236,82.9459,83.1417,83.2762,83.4087,83.5584,83.6937,83.8228,83.9613,84.0767,84.2417,84.3581,84.4771,84.573,84.744,84.8299,84.9957,85.148,85.3066,85.438,85.5395,85.6737,85.7785,85.931,86.0778,86.185,86.3225,86.3959,86.5053,86.6911,86.7926,86.8632,86.9339,87.0321,87.1756,87.2965,87.3912,87.5484,87.6805,87.7416,87.815,87.8772,87.9863,88.0748,88.1698,88.262,88.3533,88.4553,88.5594,88.6959,88.7701,88.8794,89.0237,89.1241,89.1975,89.2774,89.332,89.4036,89.4421,89.5485,89.6322,89.699,89.784,89.8214,89.8581,89.9682,90.0635,90.1491,90.2985,90.3666,90.4453,90.4943,90.5746,90.6522,90.69,90.7879,90.898,90.9714,91.0081,91.0937,91.2283,91.3024,91.4017,91.5097,91.5476,91.585,91.6442,91.7269,91.8033,91.8769,91.9728,92.0602,92.1336,92.2389,92.309,92.3538,92.415,92.5373,92.5862,92.658,92.6807,92.7942,92.879,92.941,92.9655,93.0267,93.0878,93.1132,93.2102,93.2591,93.3203,93.3815,93.4671,93.5405,93.571,93.6017,93.6506,93.6817,93.7362,93.8096,93.8778,93.9373,93.9809,94.0269,94.091,94.1404,94.1889,94.2378,94.2745,94.3357,94.3479,94.4213,94.458,94.5192,94.5575,94.6171,94.6905,94.7374,94.8006,94.8862,94.9352,94.9659,95.0207,95.0697,95.0697,95.1187,95.1798,95.2288,95.2899,95.3389,95.3698,95.4245,95.4368,95.488,95.5224,95.5591,95.5713,95.6123,95.657,95.7059,95.7331,95.7671,95.8,95.8649,95.9064,95.9346,95.9628,96.0117,96.024,96.0607,96.0974,96.1302,96.1696,96.1953,96.232,96.2564,96.2687,96.2809,96.3176,96.3421,96.3543,96.3767,96.4032,96.4399,96.4644,96.4766,96.5011,96.5623,96.5745,96.5949,96.6479,96.6601,96.6968,96.7458,96.7947,96.8069,96.8314,96.8437,96.8681,96.8926,96.9293,96.9293,96.9782,97.0439,97.1129,97.125,97.125,97.1862,97.2354,97.2718,97.2963,97.3697,97.4064,97.4309,97.4668,97.4808,97.5043,97.5287,97.5287,97.541,97.541,97.5532,97.5788,97.6266,97.6266,97.6756,97.6878,97.7232,97.7367,97.7367,97.7367,97.7979,97.8468,97.8713,97.8835,97.908,97.9447,97.9858,97.9936,98.0181,98.061,98.067,98.0915,98.092,98.1404,98.1404,98.1894,98.2138,98.2261,98.2261,98.2261,98.2506,98.2628,98.2908,98.3484,98.3729,98.3851,98.3974,98.3974,98.3974,98.3974,98.4585,98.4708,98.4708,98.5075,98.5075,98.5197,98.5442,98.5442,98.5442,98.5837,98.6053,98.6176,98.642,98.642,98.6543,98.6543,98.6665,98.6665,98.6665,98.691,98.7032,98.7277,98.7401,98.7921,98.8133,98.8242,98.8255,98.8378,98.85,98.8745,98.8745,98.8758,98.9234,98.9234,98.9356,98.9356,98.9479,98.9479,98.9707,98.9724,98.9846,99.0091,99.0091,99.0213,99.0335,99.0335,99.0335,99.0458,99.058,99.0825,99.0825,99.0947,99.0947,99.0947,99.0947,99.1192,99.1314,99.1314,99.1436,99.1436,99.1681,99.1681,99.1681,99.1681,99.1681,99.1681,99.1681,99.1803,99.1803,99.1888,99.2048,99.2115,99.224,99.2293,99.2415,99.2415,99.266,99.2904,99.3027,99.3271,99.3883,99.3883,99.3883,99.3883,99.4005,99.4128,99.4128,99.4128,99.4128,99.4128,99.4128,99.4128,99.425,99.4372,99.4372,99.4495,99.4495,99.4617,99.4862,99.519,99.5229,99.5229,99.5229,99.5253,99.5596,99.5718,99.5963,99.5963,99.5963,99.5963,99.5963,99.5963,99.5963,99.6085,99.6085,99.6452,99.6452,99.6575,99.6697,99.6697,99.6697,99.6697,99.6819,99.6942,99.6942,99.6942,99.7064,99.7064,99.7064,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7186,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7309,99.7428,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7431,99.7553,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7676,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.7798,99.792,99.8043,99.8043,99.8043,99.8043,99.8043,99.8165,99.8165,99.8165,99.8165,99.8287,99.8287,99.841,99.841,99.841,99.8532,99.8532,99.8532,99.8532,99.8654,99.8654,99.8654,99.8654,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8777,99.8899,99.8899,99.8899,99.8899,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9021,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9144,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9388,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9511,99.9633,99.9633,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9755,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9878,99.9995,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate relationship",
+						"values": [0,0.18952,0.37904,0.56856,0.75808,0.9476,1.13712,1.32664,1.51616,1.70568,1.8952,2.08472,2.27424,2.46376,2.65328,2.8428,3.03232,3.22184,3.41136,3.60088,3.7904,3.97992,4.16944,4.35896,4.54848,4.738,4.92752,5.11704,5.30656,5.49608,5.6856,5.87512,6.06464,6.25416,6.44368,6.6332,6.82272,7.01224,7.20176,7.39128,7.5808,7.77032,7.95984,8.14936,8.33888,8.5284,8.71792,8.90744,9.09696,9.28648,9.476,9.66552,9.85504,10.0446,10.2341,10.4236,10.6131,10.8026,10.9922,11.1817,11.3712,11.5607,11.7502,11.9398,12.1293,12.3188,12.5083,12.6978,12.8874,13.0769,13.2664,13.4559,13.6454,13.835,14.0245,14.214,14.4035,14.593,14.7826,14.9721,15.1616,15.3511,15.5406,15.7302,15.9197,16.1092,16.2987,16.4882,16.6778,16.8673,17.0568,17.2463,17.4358,17.6254,17.8149,18.0044,18.1939,18.3834,18.573,18.7625,18.952,19.1415,19.331,19.5206,19.7101,19.8996,20.0891,20.2786,20.4682,20.6577,20.8472,21.0367,21.2262,21.4158,21.6053,21.7948,21.9843,22.1738,22.3634,22.5529,22.7424,22.9319,23.1214,23.311,23.5005,23.69,23.8795,24.069,24.2586,24.4481,24.6376,24.8271,25.0166,25.2062,25.3957,25.5852,25.7747,25.9642,26.1538,26.3433,26.5328,26.7223,26.9118,27.1014,27.2909,27.4804,27.6699,27.8594,28.049,28.2385,28.428,28.6175,28.807,28.9966,29.1861,29.3756,29.5651,29.7546,29.9442,30.1337,30.3232,30.5127,30.7022,30.8918,31.0813,31.2708,31.4603,31.6498,31.8394,32.0289,32.2184,32.4079,32.5974,32.787,32.9765,33.166,33.3555,33.545,33.7346,33.9241,34.1136,34.3031,34.4926,34.6822,34.8717,35.0612,35.2507,35.4402,35.6298,35.8193,36.0088,36.1983,36.3878,36.5774,36.7669,36.9564,37.1459,37.3354,37.525,37.7145,37.904,38.0935,38.283,38.4726,38.6621,38.8516,39.0411,39.2306,39.4202,39.6097,39.7992,39.9887,40.1782,40.3678,40.5573,40.7468,40.9363,41.1258,41.3154,41.5049,41.6944,41.8839,42.0734,42.263,42.4525,42.642,42.8315,43.021,43.2106,43.4001,43.5896,43.7791,43.9686,44.1582,44.3477,44.5372,44.7267,44.9162,45.1058,45.2953,45.4848,45.6743,45.8638,46.0534,46.2429,46.4324,46.6219,46.8114,47.001,47.1905,47.38,47.5695,47.759,47.9486,48.1381,48.3276,48.5171,48.7066,48.8962,49.0857,49.2752,49.4647,49.6542,49.8438,50.0333,50.2228,50.4123,50.6018,50.7914,50.9809,51.1704,51.3599,51.5494,51.739,51.9285,52.118,52.3075,52.497,52.6866,52.8761,53.0656,53.2551,53.4446,53.6342,53.8237,54.0132,54.2027,54.3922,54.5818,54.7713,54.9608,55.1503,55.3398,55.5294,55.7189,55.9084,56.0979,56.2874,56.477,56.6665,56.856,57.0455,57.235,57.4246,57.6141,57.8036,57.9931,58.1826,58.3722,58.5617,58.7512,58.9407,59.1302,59.3198,59.5093,59.6988,59.8883,60.0778,60.2674,60.4569,60.6464,60.8359,61.0254,61.215,61.4045,61.594,61.7835,61.973,62.1626,62.3521,62.5416,62.7311,62.9206,63.1102,63.2997,63.4892,63.6787,63.8682,64.0578,64.2473,64.4368,64.6263,64.8158,65.0054,65.1949,65.3844,65.5739,65.7634,65.953,66.1425,66.332,66.5215,66.711,66.9006,67.0901,67.2796,67.4691,67.6586,67.8482,68.0377,68.2272,68.4167,68.6062,68.7958,68.9853,69.1748,69.3643,69.5538,69.7434,69.9329,70.1224,70.3119,70.5014,70.691,70.8805,71.07,71.2595,71.449,71.6386,71.8281,72.0176,72.2071,72.3966,72.5862,72.7757,72.9652,73.1547,73.3442,73.5338,73.7233,73.9128,74.1023,74.2918,74.4814,74.6709,74.8604,75.0499,75.2394,75.429,75.6185,75.808,75.9975,76.187,76.3766,76.5661,76.7556,76.9451,77.1346,77.3242,77.5137,77.7032,77.8927,78.0822,78.2718,78.4613,78.6508,78.8403,79.0298,79.2194,79.4089,79.5984,79.7879,79.9774,80.167,80.3565,80.546,80.7355,80.925,81.1146,81.3041,81.4936,81.6831,81.8726,82.0622,82.2517,82.4412,82.6307,82.8202,83.0098,83.1993,83.3888,83.5783,83.7678,83.9574,84.1469,84.3364,84.5259,84.7154,84.905,85.0314,85.0733,85.1152,85.1571,85.199,85.2409,85.2829,85.3248,85.3667,85.4086,85.4505,85.4924,85.5343,85.5762,85.6182,85.6601,85.702,85.7439,85.7858,85.8277,85.8696,85.9116,85.9535,85.9954,86.0373,86.0792,86.1211,86.163,86.205,86.2469,86.2888,86.3307,86.3726,86.4145,86.4564,86.4983,86.5403,86.5822,86.6241,86.666,86.7079,86.7498,86.7917,86.8337,86.8756,86.9175,86.9594,87.0013,87.0432,87.0851,87.127,87.169,87.2109,87.2528,87.2947,87.3366,87.3785,87.4204,87.4624,87.5043,87.5462,87.5881,87.63,87.6719,87.7138,87.7557,87.7977,87.8396,87.8815,87.9234,87.9653,88.0072,88.0491,88.0911,88.133,88.1749,88.2168,88.2587,88.3006,88.3425,88.3845,88.4264,88.4683,88.5102,88.5521,88.594,88.6359,88.6778,88.7198,88.7617,88.8036,88.8455,88.8874,88.9293,88.9712,89.0132,89.0551,89.097,89.1389,89.1808,89.2227,89.2646,89.3065,89.3485,89.3904,89.4323,89.4742,89.5161,89.558,89.5999,89.6419,89.6838,89.7257,89.7676,89.8095,89.8514,89.8933,89.9353,89.9772,90.0191,90.061,90.1029,90.1448,90.1867,90.2286,90.2706,90.3125,90.3544,90.3963,90.4382,90.4801,90.522,90.564,90.6059,90.6478,90.6897,90.7316,90.7735,90.8154,90.8573,90.8993,90.9412,90.9831,91.025,91.0669,91.1088,91.1507,91.1927,91.2346,91.2765,91.3184,91.3603,91.4022,91.4441,91.486,91.528,91.5699,91.6118,91.6537,91.6956,91.7375,91.7794,91.8214,91.8633,91.9052,91.9471,91.989,92.0309,92.0728,92.1148,92.1567,92.1986,92.2405,92.2824,92.3243,92.3662,92.4081,92.4501,92.492,92.5339,92.5758,92.6177,92.6596,92.7015,92.7435,92.7854,92.8273,92.8692,92.9111,92.953,92.9949,93.0368,93.0788,93.1207,93.1626,93.2045,93.2464,93.2883,93.3302,93.3722,93.4141,93.456,93.4979,93.5398,93.5817,93.6236,93.6655,93.7075,93.7494,93.7913,93.8332,93.8751,93.917,93.9589,94.0009,94.0428,94.0847,94.1266,94.1685,94.2104,94.2523,94.2943,94.3362,94.3781,94.42,94.4619,94.5038,94.5457,94.5876,94.6296,94.6715,94.7134,94.7553,94.7972,94.8391,94.881,94.923,94.9649,95.0068,95.0487,95.0906,95.1325,95.1744,95.2163,95.2583,95.3002,95.3421,95.384,95.4259,95.4678,95.5097,95.5517,95.5936,95.6355,95.6774,95.7193,95.7612,95.8031,95.845,95.8742,95.9005,95.9268,95.9531,95.9794,96.0057,96.032,96.0583,96.0846,96.1109,96.1372,96.1635,96.1898,96.2161,96.2424,96.2687,96.295,96.3213,96.3476,96.3739,96.4002,96.4265,96.4528,96.4791,96.5054,96.5317,96.558,96.5843,96.6106,96.6369,96.6632,96.6895,96.7158,96.7421,96.7684,96.7947,96.821,96.8473,96.8736,96.8999,96.9262,96.9525,96.9788,97.0051,97.0314,97.0577,97.084,97.1103,97.1366,97.1629,97.1892,97.2155,97.2418,97.2681,97.2944,97.3207,97.347,97.3733,97.3996,97.4259,97.4522,97.4785,97.5048,97.5311,97.5573,97.5836,97.6099,97.6362,97.6625,97.6888,97.7151,97.7414,97.7677,97.794,97.8203,97.8466,97.8729,97.8992,97.9255,97.9518,97.9781,98.0044,98.0307,98.057,98.0833,98.1096,98.1359,98.1622,98.1885,98.2148,98.2411,98.2674,98.2937,98.32,98.3463,98.3726,98.3989,98.4252,98.4515,98.4778,98.5041,98.5304,98.5567,98.583,98.6093,98.6327,98.6456,98.6585,98.6714,98.6843,98.6972,98.7101,98.7231,98.736,98.7489,98.7618,98.7747,98.7876,98.8005,98.8135,98.8264,98.8393,98.8522,98.8651,98.878,98.8909,98.9039,98.9168,98.9297,98.9426,98.9555,98.9684,98.9813,98.9943,99.0072,99.0201,99.033,99.0395,99.0457,99.0519,99.0581,99.0643,99.0705,99.0766,99.0828,99.089,99.0952,99.1014,99.1076,99.1138,99.12,99.1262,99.1324,99.1386,99.1448,99.151,99.1572,99.1634,99.1696,99.1758,99.182,99.1882,99.1944,99.2006,99.2068,99.213,99.2192,99.2254,99.2316,99.2378,99.244,99.2502,99.2564,99.2626,99.2688,99.275,99.2811,99.2873,99.2935,99.2997,99.3059,99.3121,99.3183,99.3245,99.3307,99.3369,99.3431,99.3493,99.3555,99.3617,99.3679,99.3741,99.3803,99.3865,99.3927,99.3989,99.4051,99.4113,99.4175,99.4237,99.4299,99.4361,99.4423,99.4485,99.4547,99.4609,99.4671,99.4733,99.4795,99.4856,99.4918,99.498,99.5042,99.5104,99.5166,99.5228,99.529,99.5352,99.5414,99.5476,99.5538,99.56,99.5662,99.5724,99.5786,99.5848,99.591,99.5972,99.6034,99.6096,99.6158,99.622,99.6282,99.6344,99.6406,99.6468,99.653,99.6592,99.6654,99.6716,99.6778,99.684,99.6902,99.6963,99.7025,99.7087,99.7149,99.7211,99.7273,99.7335,99.7397,99.7459,99.7521,99.7583,99.7645,99.7707,99.7769,99.7831,99.7893,99.7955,99.8017,99.8079,99.8141,99.8203,99.8265,99.8327,99.8389,99.8451,99.8513,99.8575,99.8637,99.8699,99.8761,99.8823,99.8885,99.8947,99.9008,99.907,99.9132,99.9194,99.9256,99.9318,99.938,99.9442,99.9504,99.9566,99.9628,99.969,99.9752,99.9814,99.9876,99.9938,100]
+					}
+				]
+			}
+		]
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/Ansi.khj b/tests/resources/analysis_results/ref_json_reports/Ansi.khj
index b8dfffb5..75a58d36 100644
--- a/tests/resources/analysis_results/ref_json_reports/Ansi.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Ansi.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -125,7 +125,9 @@
 			"targetDescriptiveStats": {
 				"values": 2,
 				"mode": "ANSI",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ANSI","ASCII"],
@@ -133,8 +135,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -156,6 +160,8 @@
 				"values": 2,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 6.13404,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj b/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj
index 59c894dd..69874a07 100644
--- a/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj
+++ b/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -139,7 +139,9 @@
 			"targetDescriptiveStats": {
 				"values": 3,
 				"mode": "ANSI",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ANSI","ASCII","UTF8 Greek"],
@@ -147,8 +149,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -170,6 +174,8 @@
 				"values": 3,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 16.6153,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj b/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj
index 0b9943bc..016d1af6 100644
--- a/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj
+++ b/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -139,7 +139,9 @@
 			"targetDescriptiveStats": {
 				"values": 3,
 				"mode": "ANSI",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ANSI","ASCII","UTF8 Latin"],
@@ -147,8 +149,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -170,6 +174,8 @@
 				"values": 3,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 16.6153,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj b/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj
index 36f083fc..58a70407 100644
--- a/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj
+++ b/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -153,7 +153,9 @@
 			"targetDescriptiveStats": {
 				"values": 4,
 				"mode": "ANSI",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ANSI","ASCII","UTF8 Greek","UTF8 Latin"],
@@ -161,8 +163,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -184,6 +188,8 @@
 				"values": 4,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 28.7905,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/AnyChar.khj b/tests/resources/analysis_results/ref_json_reports/AnyChar.khj
deleted file mode 100644
index e8026e8a..00000000
--- a/tests/resources/analysis_results/ref_json_reports/AnyChar.khj
+++ /dev/null
@@ -1,679 +0,0 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.6i",
-	"shortDescription": "",
-	"logs": [
-		{
-			"taskName": "Data preparation",
-			"messages": [
-				"warning : Data table .\/AnyChar.txt : Record 10 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 26 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 264 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 280 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 772 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 788 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1026 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1042 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1296 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1534 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1550 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 1788 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2042 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2058 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2312 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2550 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2566 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2804 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 2820 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char",
-				"warning : Data table .\/AnyChar.txt : Record 3058 : Variable <Char> with value << >> : tabulation replaced by space char",
-				"warning : Data table : ..."
-			]
-		}
-	],
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "AnyChar",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					13,
-					1
-				]
-			},
-			"database": ".\/AnyChar.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 3530,
-			"learningTask": "Classification analysis",
-			"targetVariable": "isalnum",
-			"mainTargetValue": "1",
-			"targetDescriptiveStats": {
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 2663
-			},
-			"targetValues": {
-				"values": ["0","1"],
-				"frequencies": [2663,867]
-			},
-			"evaluatedVariables": 13,
-			"informativeVariables": 13,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 8.16934,
-				"dataCost": 1963.67
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "Index",
-				"type": "Numerical",
-				"level": 0.960544,
-				"parts": 7,
-				"values": 254,
-				"min": 1,
-				"max": 255,
-				"mean": 128.2150142,
-				"stdDev": 73.50981088,
-				"missingNumber": 0,
-				"constructionCost": 3.2581,
-				"preparationCost": 74.5699,
-				"dataCost": 0
-			},
-			{
-				"rank": "R02",
-				"name": "Char",
-				"type": "Categorical",
-				"level": 0.900678,
-				"parts": 2,
-				"values": 249,
-				"mode": "",
-				"modeFrequency": 92,
-				"constructionCost": 3.2581,
-				"preparationCost": 192.658,
-				"dataCost": 0
-			},
-			{
-				"rank": "R03",
-				"name": "<Char>",
-				"type": "Categorical",
-				"level": 0.899624,
-				"parts": 2,
-				"values": 252,
-				"mode": "< >",
-				"modeFrequency": 47,
-				"constructionCost": 3.2581,
-				"preparationCost": 194.737,
-				"dataCost": 0
-			},
-			{
-				"rank": "R04",
-				"name": "isgraph",
-				"type": "Categorical",
-				"level": 0.573163,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 2231,
-				"constructionCost": 3.2581,
-				"preparationCost": 16.306,
-				"dataCost": 822.386
-			},
-			{
-				"rank": "R05",
-				"name": "isprint",
-				"type": "Categorical",
-				"level": 0.564336,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 2215,
-				"constructionCost": 3.2581,
-				"preparationCost": 16.3111,
-				"dataCost": 839.794
-			},
-			{
-				"rank": "R06",
-				"name": "isascii",
-				"type": "Categorical",
-				"level": 0.376102,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 1777,
-				"constructionCost": 3.2581,
-				"preparationCost": 16.3781,
-				"dataCost": 1211.02
-			},
-			{
-				"rank": "R07",
-				"name": "isupper",
-				"type": "Categorical",
-				"level": 0.301092,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3154,
-				"constructionCost": 3.2581,
-				"preparationCost": 15.4142,
-				"dataCost": 1359.95
-			},
-			{
-				"rank": "R08",
-				"name": "islower",
-				"type": "Categorical",
-				"level": 0.281514,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3175,
-				"constructionCost": 3.2581,
-				"preparationCost": 15.3636,
-				"dataCost": 1398.62
-			},
-			{
-				"rank": "R09",
-				"name": "isxdigit",
-				"type": "Categorical",
-				"level": 0.238119,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3223,
-				"constructionCost": 3.2581,
-				"preparationCost": 15.2337,
-				"dataCost": 1484.34
-			},
-			{
-				"rank": "R10",
-				"name": "isdigit",
-				"type": "Categorical",
-				"level": 0.0966412,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3394,
-				"constructionCost": 3.2581,
-				"preparationCost": 14.4753,
-				"dataCost": 1764.17
-			},
-			{
-				"rank": "R11",
-				"name": "iscntrl",
-				"type": "Categorical",
-				"level": 0.0625008,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3092,
-				"constructionCost": 3.2581,
-				"preparationCost": 15.5466,
-				"dataCost": 1830.44
-			},
-			{
-				"rank": "R12",
-				"name": "ispunct",
-				"type": "Categorical",
-				"level": 0.0615072,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3098,
-				"constructionCost": 3.2581,
-				"preparationCost": 15.5348,
-				"dataCost": 1832.42
-			},
-			{
-				"rank": "R13",
-				"name": "isspace",
-				"type": "Categorical",
-				"level": 0.00678074,
-				"parts": 2,
-				"values": 2,
-				"mode": "0",
-				"modeFrequency": 3454,
-				"constructionCost": 3.2581,
-				"preparationCost": 13.9166,
-				"dataCost": 1941.98
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Index",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,47.5],
-								[47.5,57.5],
-								[57.5,64.5],
-								[64.5,90.5],
-								[90.5,96.5],
-								[96.5,122.5],
-								[122.5,255]
-							]
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[638,0],
-						[0,136],
-						[100,0],
-						[0,376],
-						[75,0],
-						[0,355],
-						[1850,0]
-					],
-					"partInterests": [0.0913781,0.0970336,0.0143226,0.268269,0.0107419,0.253286,0.264968]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Char",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["","\u0010","\u201D","\u00D9",":","\u00A7","\u00ED","\u0002","\/","\u20AC","\u201A","\u2026","\u00A1","\u00B0","\u00BD","\u00E9","\u00FC",")","*",">","]","","\u0081","\u2030","\u0153","\u00AA","\u00B1","\u00B2","\u00BC","\u00C8","\u00C9","\u00DA","\u00EC","\u00F0","\u00FD","\u0003","\u0004","\u0005","\u0014",";","{","~","\u2039","\u008F","\u201C","\u009D","\u00A2","\u00A5","\u00B7","\u00B9","\u00C0","\u00C3","\u00CA","\u00CB","\u00CD","\u00CE","\u00D3","\u00D6","\u00DF","\u00E3","\u00E4","\u00E5","\u00EE","\u00F1","\u00F8","\u00F9","\u00FE","\u0001","\u0006","\u0007","\b","\u0011","\u0013","\u0015","\u0016","\u0019","\u001C","\u001D","\u001F","'","+","-","<","=","}","\u201E","\u0160","\u017D","\u2022","\u2013","\u2014","\u0178","\u00A8","\u00AD","\u00B5","\u00BB","\u00C2","\u00C6","\u00D2","\u00D7","\u00D8","\u00E0","\u00E6","\u00E8","\u00EB","\u00F4","\u000E","\u0017","\u001E","!","\"","&",",","[","^","_","|","\u0192","\u2020","\u02C6","\u2018","\u2019","\u02DC","\u0161","\u203A","\u017E","\u00A0","\u00A3","\u00A9","\u00AE","\u00B3","\u00B8","\u00BA","\u00C1","\u00C4","\u00C7","\u00D1","\u00DB","\u00DE","\u00E1","\u00EF","\u00F5","\u00F7","\u00FA","\u00FB","\u0012","$","%","@","\u2021","\u0152","\u2122","\u00AB","\u00AC","\u00AF","\u00B4","\u00B6","\u00BF","\u00CC","\u00CF","\u00D4","\u00D5","\u00E2","\u00EA","\u00F2","\u00F6","\u00FF","\u000F","#","(",".","?","\u0090","\u00A4","\u00BE","\u00DC","\u00E7","\u0018","\u001B","\\","`","\u00D0","\u00DD","\u008D","\u00C5","\u00F3","\u00A6"],
-								["a","5","E","G","N","R","d","h","s","A","F","J","L","M","Z","g","u","v","x","7","P","U","W","Y","j","p","w","0","2","3","6","9","C","I","f","k","m","4","B","D","K","O","Q","X","n","q","r","S","T","b","e","y","1","H","V","i","t","z","8","c","l","o"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,0],
-						[0,867]
-					],
-					"partInterests": [0.381411,0.618589]
-				},
-				"inputValues": {
-					"values": ["","\u0010","\u201D","\u00D9",":","a","\u00A7","\u00ED","\u0002","\/","5","E","G","N","R","d","h","s","\u20AC","\u201A","\u2026","\u00A1","\u00B0","\u00BD","\u00E9","\u00FC",")","*",">","A","F","J","L","M","Z","]","g","u","v","x","","\u0081","\u2030","\u0153","\u00AA","\u00B1","\u00B2","\u00BC","\u00C8","\u00C9","\u00DA","\u00EC","\u00F0","\u00FD","\u0003","\u0004","\u0005","\u0014","7",";","P","U","W","Y","j","p","w","{","~","\u2039","\u008F","\u201C","\u009D","\u00A2","\u00A5","\u00B7","\u00B9","\u00C0","\u00C3","\u00CA","\u00CB","\u00CD","\u00CE","\u00D3","\u00D6","\u00DF","\u00E3","\u00E4","\u00E5","\u00EE","\u00F1","\u00F8","\u00F9","\u00FE","\u0001","\u0006","\u0007","\b","\u0011","\u0013","\u0015","\u0016","\u0019","\u001C","\u001D","\u001F","'","+","-","0","2","3","6","9","<","=","C","I","f","k","m","}","\u201E","\u0160","\u017D","\u2022","\u2013","\u2014","\u0178","\u00A8","\u00AD","\u00B5","\u00BB","\u00C2","\u00C6","\u00D2","\u00D7","\u00D8","\u00E0","\u00E6","\u00E8","\u00EB","\u00F4","\u000E","\u0017","\u001E","!","\"","&",",","4","B","D","K","O","Q","X","[","^","_","n","q","r","|","\u0192","\u2020","\u02C6","\u2018","\u2019","\u02DC","\u0161","\u203A","\u017E","\u00A0","\u00A3","\u00A9","\u00AE","\u00B3","\u00B8","\u00BA","\u00C1","\u00C4","\u00C7","\u00D1","\u00DB","\u00DE","\u00E1","\u00EF","\u00F5","\u00F7","\u00FA","\u00FB","\u0012","$","%","@","S","T","b","e","y","\u2021","\u0152","\u2122","\u00AB","\u00AC","\u00AF","\u00B4","\u00B6","\u00BF","\u00CC","\u00CF","\u00D4","\u00D5","\u00E2","\u00EA","\u00F2","\u00F6","\u00FF","\u000F","#","(",".","1","?","H","V","i","t","z","\u0090","\u00A4","\u00BE","\u00DC","\u00E7","\u0018","\u001B","8","\\","`","\u00D0","\u00DD","c","l","o","\u008D","\u00C5","\u00F3","\u00A6"],
-					"frequencies": [92,19,19,19,18,18,18,18,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,10,10,10,10,10,10,10,9,9,9,9,9,9,8]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "<Char>",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["< >","<\u0010>","<\u201D>","<\u00D9>","<:>","<\u00A7>","<\u00ED>","<\u0002>","<\/>","<\u20AC>","<\u201A>","<\u2026>","<\u00A1>","<\u00B0>","<\u00BD>","<\u00E9>","<\u00FC>","<\f>","<)>","<*>","<>>","<]>","<>","<\u0081>","<\u2030>","<\u0153>","<\u00AA>","<\u00B1>","<\u00B2>","<\u00BC>","<\u00C8>","<\u00C9>","<\u00DA>","<\u00EC>","<\u00F0>","<\u00FD>","<\u0003>","<\u0004>","<\u0005>","<\r>","<\u0014>","<;>","<{>","<~>","<\u2039>","<\u008F>","<\u201C>","<\u009D>","<\u00A2>","<\u00A5>","<\u00B7>","<\u00B9>","<\u00C0>","<\u00C3>","<\u00CA>","<\u00CB>","<\u00CD>","<\u00CE>","<\u00D3>","<\u00D6>","<\u00DF>","<\u00E3>","<\u00E4>","<\u00E5>","<\u00EE>","<\u00F1>","<\u00F8>","<\u00F9>","<\u00FE>","<\u0001>","<\u0006>","<\u0007>","<\b>","<\u000B>","<\u0011>","<\u0013>","<\u0015>","<\u0016>","<\u0019>","<\u001C>","<\u001D>","<\u001F>","<'>","<+>","<->","<<>","<=>","<}>","<\u201E>","<\u0160>","<\u017D>","<\u2022>","<\u2013>","<\u2014>","<\u0178>","<\u00A8>","<\u00AD>","<\u00B5>","<\u00BB>","<\u00C2>","<\u00C6>","<\u00D2>","<\u00D7>","<\u00D8>","<\u00E0>","<\u00E6>","<\u00E8>","<\u00EB>","<\u00F4>","<\u000E>","<\u0017>","<\u001E>","<!>","<\">","<&>","<,>","<[>","<^>","<_>","<|>","<\u0192>","<\u2020>","<\u02C6>","<\u2018>","<\u2019>","<\u02DC>","<\u0161>","<\u203A>","<\u017E>","<\u00A0>","<\u00A3>","<\u00A9>","<\u00AE>","<\u00B3>","<\u00B8>","<\u00BA>","<\u00C1>","<\u00C4>","<\u00C7>","<\u00D1>","<\u00DB>","<\u00DE>","<\u00E1>","<\u00EF>","<\u00F5>","<\u00F7>","<\u00FA>","<\u00FB>","<\u0012>","<$>","<%>","<@>","<\u2021>","<\u0152>","<\u2122>","<\u00AB>","<\u00AC>","<\u00AF>","<\u00B4>","<\u00B6>","<\u00BF>","<\u00CC>","<\u00CF>","<\u00D4>","<\u00D5>","<\u00E2>","<\u00EA>","<\u00F2>","<\u00F6>","<\u00FF>","<\u000F>","<#>","<(>","<.>","<?>","<\u0090>","<\u00A4>","<\u00BE>","<\u00DC>","<\u00E7>","<\u0018>","<\u001B>","<\\>","<`>","<\u00D0>","<\u00DD>","<\u008D>","<\u00C5>","<\u00F3>","<\u00A6>"],
-								["<a>","<5>","<E>","<G>","<N>","<R>","<d>","<h>","<s>","<A>","<F>","<J>","<L>","<M>","<Z>","<g>","<u>","<v>","<x>","<7>","<P>","<U>","<W>","<Y>","<j>","<p>","<w>","<0>","<2>","<3>","<6>","<9>","<C>","<I>","<f>","<k>","<m>","<4>","<B>","<D>","<K>","<O>","<Q>","<X>","<n>","<q>","<r>","<S>","<T>","<b>","<e>","<y>","<1>","<H>","<V>","<i>","<t>","<z>","<8>","<c>","<l>","<o>"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,0],
-						[0,867]
-					],
-					"partInterests": [0.381411,0.618589]
-				},
-				"inputValues": {
-					"values": ["< >","<\u0010>","<\u201D>","<\u00D9>","<:>","<a>","<\u00A7>","<\u00ED>","<\u0002>","<\/>","<5>","<E>","<G>","<N>","<R>","<d>","<h>","<s>","<\u20AC>","<\u201A>","<\u2026>","<\u00A1>","<\u00B0>","<\u00BD>","<\u00E9>","<\u00FC>","<\f>","<)>","<*>","<>>","<A>","<F>","<J>","<L>","<M>","<Z>","<]>","<g>","<u>","<v>","<x>","<>","<\u0081>","<\u2030>","<\u0153>","<\u00AA>","<\u00B1>","<\u00B2>","<\u00BC>","<\u00C8>","<\u00C9>","<\u00DA>","<\u00EC>","<\u00F0>","<\u00FD>","<\u0003>","<\u0004>","<\u0005>","<\r>","<\u0014>","<7>","<;>","<P>","<U>","<W>","<Y>","<j>","<p>","<w>","<{>","<~>","<\u2039>","<\u008F>","<\u201C>","<\u009D>","<\u00A2>","<\u00A5>","<\u00B7>","<\u00B9>","<\u00C0>","<\u00C3>","<\u00CA>","<\u00CB>","<\u00CD>","<\u00CE>","<\u00D3>","<\u00D6>","<\u00DF>","<\u00E3>","<\u00E4>","<\u00E5>","<\u00EE>","<\u00F1>","<\u00F8>","<\u00F9>","<\u00FE>","<\u0001>","<\u0006>","<\u0007>","<\b>","<\u000B>","<\u0011>","<\u0013>","<\u0015>","<\u0016>","<\u0019>","<\u001C>","<\u001D>","<\u001F>","<'>","<+>","<->","<0>","<2>","<3>","<6>","<9>","<<>","<=>","<C>","<I>","<f>","<k>","<m>","<}>","<\u201E>","<\u0160>","<\u017D>","<\u2022>","<\u2013>","<\u2014>","<\u0178>","<\u00A8>","<\u00AD>","<\u00B5>","<\u00BB>","<\u00C2>","<\u00C6>","<\u00D2>","<\u00D7>","<\u00D8>","<\u00E0>","<\u00E6>","<\u00E8>","<\u00EB>","<\u00F4>","<\u000E>","<\u0017>","<\u001E>","<!>","<\">","<&>","<,>","<4>","<B>","<D>","<K>","<O>","<Q>","<X>","<[>","<^>","<_>","<n>","<q>","<r>","<|>","<\u0192>","<\u2020>","<\u02C6>","<\u2018>","<\u2019>","<\u02DC>","<\u0161>","<\u203A>","<\u017E>","<\u00A0>","<\u00A3>","<\u00A9>","<\u00AE>","<\u00B3>","<\u00B8>","<\u00BA>","<\u00C1>","<\u00C4>","<\u00C7>","<\u00D1>","<\u00DB>","<\u00DE>","<\u00E1>","<\u00EF>","<\u00F5>","<\u00F7>","<\u00FA>","<\u00FB>","<\u0012>","<$>","<%>","<@>","<S>","<T>","<b>","<e>","<y>","<\u2021>","<\u0152>","<\u2122>","<\u00AB>","<\u00AC>","<\u00AF>","<\u00B4>","<\u00B6>","<\u00BF>","<\u00CC>","<\u00CF>","<\u00D4>","<\u00D5>","<\u00E2>","<\u00EA>","<\u00F2>","<\u00F6>","<\u00FF>","<\u000F>","<#>","<(>","<.>","<1>","<?>","<H>","<V>","<i>","<t>","<z>","<\u0090>","<\u00A4>","<\u00BE>","<\u00DC>","<\u00E7>","<\u0018>","<\u001B>","<8>","<\\>","<`>","<\u00D0>","<\u00DD>","<c>","<l>","<o>","<\u008D>","<\u00C5>","<\u00F3>","<\u00A6>"],
-					"frequencies": [47,19,19,19,18,18,18,18,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,10,10,10,10,10,10,10,9,9,9,9,9,9,8]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isgraph",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2231,0],
-						[432,867]
-					],
-					"partInterests": [0.550756,0.449244]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [2231,1299]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isprint",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2215,0],
-						[448,867]
-					],
-					"partInterests": [0.555278,0.444722]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [2215,1315]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isascii",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[1777,0],
-						[886,867]
-					],
-					"partInterests": [0.665257,0.334743]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [1777,1753]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isupper",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,491],
-						[0,376]
-					],
-					"partInterests": [0.12591,0.87409]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3154,376]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "islower",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,512],
-						[0,355]
-					],
-					"partInterests": [0.118247,0.881753]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3175,355]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isxdigit",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,560],
-						[0,307]
-					],
-					"partInterests": [0.101081,0.898919]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3223,307]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isdigit",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2663,731],
-						[0,136]
-					],
-					"partInterests": [0.0431871,0.956813]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3394,136]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "iscntrl",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2225,867],
-						[438,0]
-					],
-					"partInterests": [0.0735672,0.926433]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3092,438]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "ispunct",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2231,867],
-						[432,0]
-					],
-					"partInterests": [0.0725316,0.927468]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3098,432]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "isspace",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["0"],
-								["1"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "isalnum",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2587,867],
-						[76,0]
-					],
-					"partInterests": [0.0124886,0.987511]
-				},
-				"inputValues": {
-					"values": ["0","1"],
-					"frequencies": [3454,76]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ansi"
-}
diff --git a/tests/resources/analysis_results/ref_json_reports/Deft2017ChallengeNGrams1000.khj b/tests/resources/analysis_results/ref_json_reports/Deft2017ChallengeNGrams1000.khj
index 1d1b4918..e10d3889 100644
--- a/tests/resources/analysis_results/ref_json_reports/Deft2017ChallengeNGrams1000.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Deft2017ChallengeNGrams1000.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.3.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -20,7 +20,7 @@
 				"type": "Classifier",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
-				"variables": 54
+				"variables": 79
 			}
 		],
 		"trainedPredictorsDetails": {
@@ -30,281 +30,358 @@
 						"preparedName": "PTXT.3gram(htt)",
 						"name": "TXT.3gram(htt)",
 						"level": 0.149605,
-						"weight": 0.34375,
-						"importance": 0.226775
-					},
-					{
-						"preparedName": "PTXT.3gram(ttp)",
-						"name": "TXT.3gram(ttp)",
-						"level": 0.149602,
-						"weight": 0.25,
-						"importance": 0.193392
+						"weight": 0.90625,
+						"importance": 0.368212
 					},
 					{
 						"preparedName": "PTXT.2gram(: )",
 						"name": "TXT.2gram(: )",
 						"level": 0.0493003,
-						"weight": 0.4375,
-						"importance": 0.146863
+						"weight": 0.5,
+						"importance": 0.157004
 					},
 					{
 						"preparedName": "PTXT.2gram(#x)",
 						"name": "TXT.2gram(#x)",
 						"level": 0.0350815,
-						"weight": 0.46875,
-						"importance": 0.128236
+						"weight": 0.4375,
+						"importance": 0.123888
 					},
 					{
 						"preparedName": "PTXT.1gram(!)",
 						"name": "TXT.1gram(!)",
 						"level": 0.0150068,
-						"weight": 0.84375,
-						"importance": 0.112525
+						"weight": 1,
+						"importance": 0.122502
 					},
 					{
 						"preparedName": "PTXT.1gram( )",
 						"name": "TXT.1gram( )",
 						"level": 0.0367643,
-						"weight": 0.171875,
-						"importance": 0.0794913
-					},
-					{
-						"preparedName": "PTXT.3gram(via)",
-						"name": "TXT.3gram(via)",
-						"level": 0.0264472,
-						"weight": 0.21875,
-						"importance": 0.0760613
+						"weight": 0.25,
+						"importance": 0.0958701
 					},
 					{
-						"preparedName": "PTXT.2gram( m)",
-						"name": "TXT.2gram( m)",
-						"level": 0.0155686,
-						"weight": 0.296875,
-						"importance": 0.0679848
+						"preparedName": "PTXT.1gram(#)",
+						"name": "TXT.1gram(#)",
+						"level": 0.0128933,
+						"weight": 0.59375,
+						"importance": 0.087495
 					},
 					{
 						"preparedName": "PTXT.2gram( -)",
 						"name": "TXT.2gram( -)",
 						"level": 0.0162871,
-						"weight": 0.28125,
-						"importance": 0.0676812
-					},
-					{
-						"preparedName": "PTXT.2gram(tt)",
-						"name": "TXT.2gram(tt)",
-						"level": 0.116974,
-						"weight": 0.0390625,
-						"importance": 0.0675966
+						"weight": 0.40625,
+						"importance": 0.0813427
 					},
 					{
 						"preparedName": "PTXT.3gram( pa)",
 						"name": "TXT.3gram( pa)",
 						"level": 0.0156501,
-						"weight": 0.261719,
-						"importance": 0.0639994
+						"weight": 0.421875,
+						"importance": 0.081255
+					},
+					{
+						"preparedName": "PTXT.2gram( m)",
+						"name": "TXT.2gram( m)",
+						"level": 0.0155686,
+						"weight": 0.405762,
+						"importance": 0.0794804
+					},
+					{
+						"preparedName": "PTXT.2gram(y\/)",
+						"name": "TXT.2gram(y\/)",
+						"level": 0.0179322,
+						"weight": 0.3125,
+						"importance": 0.0748586
 					},
 					{
 						"preparedName": "PTXT.1gram(')",
 						"name": "TXT.1gram(')",
 						"level": 0.0140427,
-						"weight": 0.25,
-						"importance": 0.059251
+						"weight": 0.375,
+						"importance": 0.0725673
+					},
+					{
+						"preparedName": "PTXT.1gram({C2})",
+						"name": "TXT.1gram({C2})",
+						"level": 0.00840395,
+						"weight": 0.5,
+						"importance": 0.0648226
+					},
+					{
+						"preparedName": "PTXT.2gram( b)",
+						"name": "TXT.2gram( b)",
+						"level": 0.00450917,
+						"weight": 0.90625,
+						"importance": 0.0639253
 					},
 					{
 						"preparedName": "PTXT.2gram(t )",
 						"name": "TXT.2gram(t )",
 						"level": 0.0157388,
-						"weight": 0.21875,
-						"importance": 0.058676
+						"weight": 0.25,
+						"importance": 0.0627272
+					},
+					{
+						"preparedName": "PTXT.2gram( j)",
+						"name": "TXT.2gram( j)",
+						"level": 0.00735299,
+						"weight": 0.5,
+						"importance": 0.0606341
 					},
 					{
-						"preparedName": "PTXT.1gram(\u20AC)",
-						"name": "TXT.1gram(\u20AC)",
+						"preparedName": "PTXT.1gram({80})",
+						"name": "TXT.1gram({80})",
 						"level": 0.0106858,
-						"weight": 0.265625,
-						"importance": 0.0532769
+						"weight": 0.34375,
+						"importance": 0.0606074
 					},
 					{
 						"preparedName": "PTXT.2gram( &)",
 						"name": "TXT.2gram( &)",
 						"level": 0.0291665,
-						"weight": 0.09375,
-						"importance": 0.0522911
+						"weight": 0.125,
+						"importance": 0.0603805
 					},
 					{
-						"preparedName": "PTXT.2gram(ar)",
-						"name": "TXT.2gram(ar)",
-						"level": 0.0101514,
-						"weight": 0.25,
-						"importance": 0.0503771
+						"preparedName": "PTXT.2gram(! )",
+						"name": "TXT.2gram(! )",
+						"level": 0.0105128,
+						"weight": 0.34375,
+						"importance": 0.0601146
 					},
 					{
-						"preparedName": "PTXT.2gram(y\/)",
-						"name": "TXT.2gram(y\/)",
-						"level": 0.0179322,
-						"weight": 0.140625,
-						"importance": 0.0502167
+						"preparedName": "PTXT.4gram(via )",
+						"name": "TXT.4gram(via )",
+						"level": 0.0270014,
+						"weight": 0.125,
+						"importance": 0.0580962
 					},
 					{
-						"preparedName": "PTXT.1gram(\u00C2)",
-						"name": "TXT.1gram(\u00C2)",
-						"level": 0.00840395,
-						"weight": 0.296875,
-						"importance": 0.0499492
+						"preparedName": "PTXT.1gram(x)",
+						"name": "TXT.1gram(x)",
+						"level": 0.00386012,
+						"weight": 0.8125,
+						"importance": 0.0560031
+					},
+					{
+						"preparedName": "PTXT.1gram(s)",
+						"name": "TXT.1gram(s)",
+						"level": 0.00799351,
+						"weight": 0.375,
+						"importance": 0.05475
 					},
 					{
 						"preparedName": "PTXT.2gram( c)",
 						"name": "TXT.2gram( c)",
 						"level": 0.0133791,
-						"weight": 0.179688,
-						"importance": 0.0490312
+						"weight": 0.21875,
+						"importance": 0.0540988
 					},
 					{
-						"preparedName": "PTXT.5gram( http)",
-						"name": "TXT.5gram( http)",
-						"level": 0.14902,
-						"weight": 0.015625,
-						"importance": 0.0482538
+						"preparedName": "PTXT.3gram(e h)",
+						"name": "TXT.3gram(e h)",
+						"level": 0.0107346,
+						"weight": 0.25,
+						"importance": 0.051804
 					},
 					{
-						"preparedName": "PTXT.2gram( p)",
-						"name": "TXT.2gram( p)",
-						"level": 0.0145528,
-						"weight": 0.15625,
-						"importance": 0.0476852
+						"preparedName": "PTXT.2gram( t)",
+						"name": "TXT.2gram( t)",
+						"level": 0.0075452,
+						"weight": 0.34375,
+						"importance": 0.050928
 					},
 					{
-						"preparedName": "PTXT.2gram( b)",
-						"name": "TXT.2gram( b)",
-						"level": 0.00450917,
-						"weight": 0.484375,
-						"importance": 0.0467347
+						"preparedName": "PTXT.2gram(.c)",
+						"name": "TXT.2gram(.c)",
+						"level": 0.0186821,
+						"weight": 0.109375,
+						"importance": 0.0452035
+					},
+					{
+						"preparedName": "PTXT.2gram(c')",
+						"name": "TXT.2gram(c')",
+						"level": 0.00816986,
+						"weight": 0.25,
+						"importance": 0.0451936
+					},
+					{
+						"preparedName": "PTXT.3gram( : )",
+						"name": "TXT.3gram( : )",
+						"level": 0.0244413,
+						"weight": 0.0771484,
+						"importance": 0.0434236
+					},
+					{
+						"preparedName": "PTXT.1gram(u)",
+						"name": "TXT.1gram(u)",
+						"level": 0.00391461,
+						"weight": 0.4375,
+						"importance": 0.0413841
 					},
 					{
 						"preparedName": "PTXT.4gram(ande)",
 						"name": "TXT.4gram(ande)",
 						"level": 0.00439718,
-						"weight": 0.421875,
-						"importance": 0.0430704
+						"weight": 0.375,
+						"importance": 0.0406072
 					},
 					{
-						"preparedName": "PTXT.2gram( n)",
-						"name": "TXT.2gram( n)",
-						"level": 0.0106979,
-						"weight": 0.171875,
-						"importance": 0.04288
+						"preparedName": "PTXT.2gram(  )",
+						"name": "TXT.2gram(  )",
+						"level": 0.0028466,
+						"weight": 0.5625,
+						"importance": 0.0400152
 					},
 					{
-						"preparedName": "PTXT.2gram( j)",
-						"name": "TXT.2gram( j)",
-						"level": 0.00735299,
-						"weight": 0.25,
-						"importance": 0.0428748
+						"preparedName": "PTXT.3gram(me )",
+						"name": "TXT.3gram(me )",
+						"level": 0.00448778,
+						"weight": 0.28125,
+						"importance": 0.0355273
 					},
 					{
-						"preparedName": "PTXT.2gram(! )",
-						"name": "TXT.2gram(! )",
-						"level": 0.0105128,
-						"weight": 0.171875,
-						"importance": 0.0425075
+						"preparedName": "PTXT.2gram(Er)",
+						"name": "TXT.2gram(Er)",
+						"level": 0.00280308,
+						"weight": 0.4375,
+						"importance": 0.0350192
 					},
 					{
-						"preparedName": "PTXT.2gram( t)",
-						"name": "TXT.2gram( t)",
-						"level": 0.0075452,
+						"preparedName": "PTXT.2gram( @)",
+						"name": "TXT.2gram( @)",
+						"level": 0.00243719,
+						"weight": 0.492188,
+						"importance": 0.0346346
+					},
+					{
+						"preparedName": "PTXT.4gram(mais)",
+						"name": "TXT.4gram(mais)",
+						"level": 0.00437037,
 						"weight": 0.21875,
-						"importance": 0.0406265
+						"importance": 0.0309195
+					},
+					{
+						"preparedName": "PTXT.1gram(;)",
+						"name": "TXT.1gram(;)",
+						"level": 0.0295101,
+						"weight": 0.03125,
+						"importance": 0.0303676
+					},
+					{
+						"preparedName": "PTXT.2gram(.m)",
+						"name": "TXT.2gram(.m)",
+						"level": 0.00954385,
+						"weight": 0.09375,
+						"importance": 0.0299121
 					},
 					{
 						"preparedName": "PTXT.3gram(as )",
 						"name": "TXT.3gram(as )",
 						"level": 0.0113994,
-						"weight": 0.125,
-						"importance": 0.0377482
+						"weight": 0.078125,
+						"importance": 0.0298425
 					},
 					{
-						"preparedName": "PTXT.1gram(s)",
-						"name": "TXT.1gram(s)",
-						"level": 0.00799351,
-						"weight": 0.15625,
-						"importance": 0.035341
+						"preparedName": "PTXT.5gram( via )",
+						"name": "TXT.5gram( via )",
+						"level": 0.0265199,
+						"weight": 0.03125,
+						"importance": 0.028788
 					},
 					{
-						"preparedName": "PTXT.3gram(me )",
-						"name": "TXT.3gram(me )",
-						"level": 0.00448778,
-						"weight": 0.25,
-						"importance": 0.0334954
+						"preparedName": "PTXT.4gram(ia @)",
+						"name": "TXT.4gram(ia @)",
+						"level": 0.0262785,
+						"weight": 0.03125,
+						"importance": 0.0286566
 					},
 					{
-						"preparedName": "PTXT.2gram(Er)",
-						"name": "TXT.2gram(Er)",
-						"level": 0.00280308,
-						"weight": 0.359375,
-						"importance": 0.0317389
+						"preparedName": "PTXT.1gram(5)",
+						"name": "TXT.1gram(5)",
+						"level": 0.0214527,
+						"weight": 0.03125,
+						"importance": 0.0258921
 					},
 					{
-						"preparedName": "PTXT.3gram(e h)",
-						"name": "TXT.3gram(e h)",
-						"level": 0.0107346,
-						"weight": 0.09375,
-						"importance": 0.0317233
+						"preparedName": "PTXT.1gram(6)",
+						"name": "TXT.1gram(6)",
+						"level": 0.00512138,
+						"weight": 0.125,
+						"importance": 0.0253016
 					},
 					{
-						"preparedName": "PTXT.1gram(u)",
-						"name": "TXT.1gram(u)",
-						"level": 0.00391461,
-						"weight": 0.25,
-						"importance": 0.0312834
+						"preparedName": "PTXT.4gram(ait )",
+						"name": "TXT.4gram(ait )",
+						"level": 0.00289525,
+						"weight": 0.21875,
+						"importance": 0.0251661
 					},
 					{
-						"preparedName": "PTXT.2gram(  )",
-						"name": "TXT.2gram(  )",
-						"level": 0.0028466,
-						"weight": 0.34375,
-						"importance": 0.0312813
+						"preparedName": "PTXT.3gram(ant)",
+						"name": "TXT.3gram(ant)",
+						"level": 0.00165405,
+						"weight": 0.375,
+						"importance": 0.0249052
 					},
 					{
-						"preparedName": "PTXT.4gram(ais )",
-						"name": "TXT.4gram(ais )",
-						"level": 0.00492255,
-						"weight": 0.185547,
-						"importance": 0.0302219
+						"preparedName": "PTXT.8gram(Hollande)",
+						"name": "TXT.8gram(Hollande)",
+						"level": 0.00301677,
+						"weight": 0.1875,
+						"importance": 0.0237833
 					},
 					{
-						"preparedName": "PTXT.6gram(c'est )",
-						"name": "TXT.6gram(c'est )",
-						"level": 0.00694626,
-						"weight": 0.109375,
-						"importance": 0.0275635
+						"preparedName": "PTXT.3gram(ist)",
+						"name": "TXT.3gram(ist)",
+						"level": 0.00104643,
+						"weight": 0.53125,
+						"importance": 0.0235779
+					},
+					{
+						"preparedName": "PTXT.4gram(Syri)",
+						"name": "TXT.4gram(Syri)",
+						"level": 0.0057116,
+						"weight": 0.09375,
+						"importance": 0.0231401
+					},
+					{
+						"preparedName": "PTXT.2gram(Sy)",
+						"name": "TXT.2gram(Sy)",
+						"level": 0.00559363,
+						"weight": 0.09375,
+						"importance": 0.0228998
 					},
 					{
 						"preparedName": "PTXT.1gram(y)",
 						"name": "TXT.1gram(y)",
 						"level": 0.0166635,
-						"weight": 0.0385742,
-						"importance": 0.0253531
+						"weight": 0.03125,
+						"importance": 0.0228196
 					},
 					{
-						"preparedName": "PTXT.3gram(ait)",
-						"name": "TXT.3gram(ait)",
-						"level": 0.00250638,
-						"weight": 0.1875,
-						"importance": 0.0216782
+						"preparedName": "PTXT.3gram( tr)",
+						"name": "TXT.3gram( tr)",
+						"level": 0.000758481,
+						"weight": 0.65625,
+						"importance": 0.0223104
 					},
 					{
-						"preparedName": "PTXT.3gram(ist)",
-						"name": "TXT.3gram(ist)",
-						"level": 0.00104643,
-						"weight": 0.445313,
-						"importance": 0.0215868
+						"preparedName": "PTXT.6gram(c'est )",
+						"name": "TXT.6gram(c'est )",
+						"level": 0.00694626,
+						"weight": 0.0625,
+						"importance": 0.0208361
 					},
 					{
-						"preparedName": "PTXT.4gram(Holl)",
-						"name": "TXT.4gram(Holl)",
-						"level": 0.00301988,
-						"weight": 0.140625,
-						"importance": 0.0206076
+						"preparedName": "PTXT.1gram(b)",
+						"name": "TXT.1gram(b)",
+						"level": 0.00337847,
+						"weight": 0.125,
+						"importance": 0.0205501
 					},
 					{
 						"preparedName": "PTXT.4gram( pas)",
@@ -314,95 +391,193 @@
 						"importance": 0.0201527
 					},
 					{
-						"preparedName": "PTXT.7gram(ollande)",
-						"name": "TXT.7gram(ollande)",
-						"level": 0.00316974,
+						"preparedName": "PTXT.5gram(Holla)",
+						"name": "TXT.5gram(Holla)",
+						"level": 0.0030181,
 						"weight": 0.125,
-						"importance": 0.0199052
+						"importance": 0.0194232
 					},
 					{
-						"preparedName": "PTXT.2gram(es)",
-						"name": "TXT.2gram(es)",
-						"level": 0.00133323,
-						"weight": 0.25,
-						"importance": 0.0182567
+						"preparedName": "PTXT.3gram(ait)",
+						"name": "TXT.3gram(ait)",
+						"level": 0.00250638,
+						"weight": 0.140625,
+						"importance": 0.0187739
 					},
 					{
-						"preparedName": "PTXT.3gram(Syr)",
-						"name": "TXT.3gram(Syr)",
-						"level": 0.00588518,
-						"weight": 0.046875,
-						"importance": 0.0166093
+						"preparedName": "PTXT.4gram( mai)",
+						"name": "TXT.4gram( mai)",
+						"level": 0.0020395,
+						"weight": 0.15625,
+						"importance": 0.0178514
 					},
 					{
-						"preparedName": "PTXT.1gram(,)",
-						"name": "TXT.1gram(,)",
-						"level": 0.00135293,
-						"weight": 0.1875,
-						"importance": 0.0159272
+						"preparedName": "PTXT.8gram(ollande )",
+						"name": "TXT.8gram(ollande )",
+						"level": 0.0014249,
+						"weight": 0.15625,
+						"importance": 0.0149212
 					},
 					{
-						"preparedName": "PTXT.2gram( @)",
-						"name": "TXT.2gram( @)",
-						"level": 0.00243719,
-						"weight": 0.0927734,
-						"importance": 0.0150369
+						"preparedName": "PTXT.2gram(ka)",
+						"name": "TXT.2gram(ka)",
+						"level": 0.00171725,
+						"weight": 0.125,
+						"importance": 0.0146512
 					},
 					{
-						"preparedName": "PTXT.3gram(ant)",
-						"name": "TXT.3gram(ant)",
-						"level": 0.00165405,
-						"weight": 0.125,
-						"importance": 0.014379
+						"preparedName": "PTXT.4gram(leur)",
+						"name": "TXT.4gram(leur)",
+						"level": 0.00120884,
+						"weight": 0.171875,
+						"importance": 0.0144142
+					},
+					{
+						"preparedName": "PTXT.2gram(16)",
+						"name": "TXT.2gram(16)",
+						"level": 0.000649895,
+						"weight": 0.3125,
+						"importance": 0.014251
 					},
 					{
 						"preparedName": "PTXT.3gram(ark)",
 						"name": "TXT.3gram(ark)",
 						"level": 0.000807727,
-						"weight": 0.226563,
-						"importance": 0.0135278
+						"weight": 0.25,
+						"importance": 0.0142103
 					},
 					{
-						"preparedName": "PTXT.1gram(x)",
-						"name": "TXT.1gram(x)",
-						"level": 0.00386012,
-						"weight": 0.03125,
-						"importance": 0.0109831
+						"preparedName": "PTXT.4gram( ne )",
+						"name": "TXT.4gram( ne )",
+						"level": 0.00200321,
+						"weight": 0.09375,
+						"importance": 0.013704
 					},
 					{
-						"preparedName": "PTXT.3gram( tr)",
-						"name": "TXT.3gram( tr)",
-						"level": 0.000758481,
+						"preparedName": "PTXT.3gram(nd )",
+						"name": "TXT.3gram(nd )",
+						"level": 0.000187545,
+						"weight": 0.8125,
+						"importance": 0.0123442
+					},
+					{
+						"preparedName": "PTXT.2gram(, )",
+						"name": "TXT.2gram(, )",
+						"level": 0.000563226,
+						"weight": 0.25,
+						"importance": 0.0118662
+					},
+					{
+						"preparedName": "PTXT.2gram(rq)",
+						"name": "TXT.2gram(rq)",
+						"level": 0.000376435,
+						"weight": 0.373047,
+						"importance": 0.0118502
+					},
+					{
+						"preparedName": "PTXT.3gram(par)",
+						"name": "TXT.3gram(par)",
+						"level": 0.000800805,
 						"weight": 0.15625,
-						"importance": 0.0108864
+						"importance": 0.011186
 					},
 					{
-						"preparedName": "PTXT.6gram(Hollan)",
-						"name": "TXT.6gram(Hollan)",
-						"level": 0.00301766,
-						"weight": 0.03125,
-						"importance": 0.00971091
+						"preparedName": "PTXT.4gram(est )",
+						"name": "TXT.4gram(est )",
+						"level": 0.00765514,
+						"weight": 0.015625,
+						"importance": 0.0109367
+					},
+					{
+						"preparedName": "PTXT.3gram(int)",
+						"name": "TXT.3gram(int)",
+						"level": 0.000478252,
+						"weight": 0.25,
+						"importance": 0.0109345
+					},
+					{
+						"preparedName": "PTXT.4gram(arko)",
+						"name": "TXT.4gram(arko)",
+						"level": 0.000621878,
+						"weight": 0.1875,
+						"importance": 0.0107982
 					},
 					{
 						"preparedName": "PTXT.2gram(uc)",
 						"name": "TXT.2gram(uc)",
 						"level": 0.000597689,
-						"weight": 0.109375,
-						"importance": 0.00808531
+						"weight": 0.1875,
+						"importance": 0.0105862
 					},
 					{
-						"preparedName": "PTXT.3gram(nd )",
-						"name": "TXT.3gram(nd )",
-						"level": 0.000187545,
+						"preparedName": "PTXT.3gram(mme)",
+						"name": "TXT.3gram(mme)",
+						"level": 0.000419652,
+						"weight": 0.265625,
+						"importance": 0.0105579
+					},
+					{
+						"preparedName": "PTXT.1gram(,)",
+						"name": "TXT.1gram(,)",
+						"level": 0.00135293,
+						"weight": 0.0625,
+						"importance": 0.00919556
+					},
+					{
+						"preparedName": "PTXT.4gram(ais )",
+						"name": "TXT.4gram(ais )",
+						"level": 0.00492255,
+						"weight": 0.015625,
+						"importance": 0.00877011
+					},
+					{
+						"preparedName": "PTXT.3gram(yri)",
+						"name": "TXT.3gram(yri)",
+						"level": 0.000927919,
+						"weight": 0.0625,
+						"importance": 0.00761544
+					},
+					{
+						"preparedName": "PTXT.2gram(u')",
+						"name": "TXT.2gram(u')",
+						"level": 0.00155717,
+						"weight": 0.03125,
+						"importance": 0.00697579
+					},
+					{
+						"preparedName": "PTXT.3gram( to)",
+						"name": "TXT.3gram( to)",
+						"level": 0.000600504,
+						"weight": 0.0625,
+						"importance": 0.0061263
+					},
+					{
+						"preparedName": "PTXT.3gram( pe)",
+						"name": "TXT.3gram( pe)",
+						"level": 0.000122874,
 						"weight": 0.25,
-						"importance": 0.00684734
+						"importance": 0.00554242
+					},
+					{
+						"preparedName": "PTXT.2gram( o)",
+						"name": "TXT.2gram( o)",
+						"level": 0.000395289,
+						"weight": 0.0625,
+						"importance": 0.00497047
 					},
 					{
 						"preparedName": "PTXT.1gram(?)",
 						"name": "TXT.1gram(?)",
 						"level": 4.53161e-05,
-						"weight": 0.453125,
-						"importance": 0.00453143
+						"weight": 0.496094,
+						"importance": 0.00474142
+					},
+					{
+						"preparedName": "PTXT.2gram( d)",
+						"name": "TXT.2gram( d)",
+						"level": 0.000104609,
+						"weight": 0.15625,
+						"importance": 0.00404291
 					}
 				]
 			}
@@ -428,9 +603,9 @@
 				"type": "Classifier",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
-				"accuracy": 0.648276,
-				"compression": 0.29205,
-				"auc": 0.839254
+				"accuracy": 0.643194,
+				"compression": 0.286258,
+				"auc": 0.841837
 			}
 		],
 		"predictorsDetailedPerformance": {
@@ -438,10 +613,10 @@
 				"confusionMatrix": {
 					"values": ["mixed","negative","objective","positive"],
 					"matrix": [
-						[0,0,0,0],
-						[232,685,204,145],
-						[64,181,938,37],
-						[41,44,21,163]
+						[6,3,1,0],
+						[224,667,215,129],
+						[51,164,911,28],
+						[56,76,36,188]
 					]
 				}
 			}
@@ -456,7 +631,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.593472,0.890208,0.968843,1.48368,1.78042,1.93769,2.07715,2.38576,2.96736,3.13056,3.56083,3.56083,4.09941,4.45104,4.54748,4.77151,5.34125,5.51632,6.33383,6.55786,7.37537,7.71513,8.01187,8.30861,8.56825,8.60534,9.19881,9.79228,9.79228,10.5786,10.6825,11.0267,11.276,11.8694,12.1662,12.1662,12.1662,12.6677,12.8917,13.0564,13.0564,13.5638,13.7878,14.2433,14.5401,14.5401,14.5401,14.5401,14.8368,15.1335,15.5801,16.0237,16.0282,16.3205,16.773,16.997,17.2107,17.4451,17.8042,17.8042,18.1009,18.1009,18.3976,18.7893,18.9911,18.9911,18.9911,18.9911,18.9911,19.2433,19.2878,19.5846,19.5846,19.8813,19.8813,19.8813,20.2181,20.4748,20.9629,21.0682,21.0682,21.0682,21.0682,21.365,21.6617,21.6617,21.6617,21.9585,22.6098,22.8487,23.1454,23.1454,23.4421,23.4421,23.4421,23.4421,23.4421,23.4421,23.4421,23.7389,24.3323,24.9258,25.2226,25.2226,25.2226,25.5193,25.816,26.1128,26.4095,26.4095,26.4095,26.4095,26.7062,26.7062,26.951,27.2997,27.5964,27.8932,27.8932,27.8932,28.4866,28.4866,28.4866,28.6706,28.8947,29.0801,29.0801,29.0801,29.3769,29.3769,29.6454,29.6736,29.9703,29.9703,29.9703,30.1721,30.2671,30.5638,30.8442,30.8605,30.8605,30.8605,31.4436,31.7507,31.8917,32.1157,32.3442,32.3442,32.3442,32.3442,32.9377,32.9377,32.9377,33.2344,33.8279,33.8279,34.1246,34.4214,34.4214,34.4214,34.4214,34.4214,34.7181,34.9614,35.0148,35.7062,35.905,35.905,35.905,36.2018,36.2018,36.2018,36.2018,36.3116,36.5356,36.7953,37.092,37.092,37.3887,37.3887,37.3887,37.6855,37.6855,37.9585,37.9822,38.2789,38.2789,38.5579,38.5757,38.5757,38.5757,38.5757,38.5757,38.5757,38.5757,38.8724,39.1691,39.1691,39.1691,39.4659,39.4659,39.4659,39.7626,39.7626,39.9926,40.0593,40.4407,40.9496,40.9496,41.543,41.543,41.543,41.8398,42.1365,42.5297,43.0267,43.2745,43.3234,43.6202,43.9169,43.9169,43.9169,43.9169,43.9169,44.2136,44.5104,44.5104,44.5104,44.5104,45,45.224,45.4006,45.6973,45.6973,45.6973,45.6973,45.9941,45.9941,45.9941,45.9941,45.9941,46.2908,46.5875,46.5875,46.5875,47.181,47.181,47.4777,47.7745,48.0712,48.2211,48.368,48.368,48.368,48.5237,48.6647,48.6647,48.9614,49.5549,49.5549,49.5712,50.1484,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,50.7418,51.0386,51.0386,51.3353,51.632,51.8961,51.9288,52.3442,52.5223,52.5223,52.5223,52.5223,52.819,52.819,53.1157,53.7092,54.0059,54.0059,54.0059,54.0059,54.0697,54.5994,54.5994,54.5994,54.5994,55.1899,55.4139,55.4896,55.4896,55.4896,55.4896,56.2374,56.3798,56.3798,56.6766,56.6766,56.9733,56.9733,56.9733,57.27,57.6602,58.457,58.457,58.457,58.457,58.457,58.457,58.457,58.457,58.4896,59.0504,59.0504,59.0504,59.0504,59.0504,59.6439,59.9407,59.9407,59.9407,60.1365,60.2374,60.2878,60.5341,60.5341,60.5341,60.8309,60.8309,61.0386,61.1276,61.4243,61.4243,61.4243,61.7211,62.0178,62.0178,62.0178,62.1647,62.3145,62.3145,62.6113,62.908,62.908,62.908,62.908,63.0668,63.2047,63.2114,63.5015,63.5015,63.5935,64.095,64.3383,64.3917,64.6884,64.6884,64.6884,64.6884,64.6884,64.6884,64.6884,64.6884,64.6884,64.7255,65.543,65.5786,65.8754,66.1721,66.1721,66.1721,66.4688,66.4688,66.4688,66.9659,67.0623,67.0623,67.0623,67.5653,67.9525,68.546,68.546,68.546,68.546,68.6128,69.1335,69.1395,69.4362,69.4362,69.4362,69.4362,69.4362,69.5148,69.7329,69.7329,69.7329,69.7329,69.7329,69.7329,69.7329,69.7329,70.0297,70.0297,70.3264,70.3264,70.6231,70.8709,71.2166,71.2166,71.5134,71.5134,71.5134,71.5134,71.5134,71.5134,71.5134,71.8101,71.8101,72.0757,72.1068,72.1068,72.1068,72.1068,72.4036,72.4036,72.457,73.2745,73.2938,73.2938,73.2938,73.5772,74.184,74.184,74.184,74.184,74.184,74.184,74.4807,74.7774,74.8887,75.0742,75.4481,75.9644,75.9644,75.9644,75.9644,76.2611,76.2611,76.8546,76.8546,76.8546,76.8546,76.8546,76.8546,76.8546,76.8546,77.0282,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.1513,77.4481,77.4481,77.4481,77.6454,78.0415,78.0415,78.0415,78.0415,78.0415,78.0415,78.3383,78.3383,78.3383,78.3383,78.635,78.9318,78.9318,78.9318,78.9318,78.9318,79.0801,79.3042,79.5282,79.822,79.822,80.1187,80.1187,80.1187,80.1187,80.4154,80.4154,80.4154,80.4154,80.4154,80.4154,80.4154,80.4154,80.5148,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.3056,81.6024,81.8769,82.1958,82.1958,82.2522,82.4926,82.7003,82.9243,83.0861,83.3828,83.6795,83.6795,83.6795,83.9718,84.273,84.273,84.273,84.273,84.273,84.5697,84.8665,84.8739,85.1632,85.1632,85.4599,85.4733,86.2908,86.3501,86.6469,86.6662,87.2404,87.5371,87.5371,87.5371,87.8338,87.8338,87.8338,87.8338,87.8338,87.8338,87.8338,87.8338,87.8338,88.1306,88.1306,88.1306,88.1306,88.1306,88.4273,88.724,88.724,88.724,89.0208,89.3175,89.6142,89.8205,89.911,90.2077,90.2077,90.2077,90.2077,90.2745,90.5045,90.5045,90.6499,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8858,91.1098,91.3947,91.3947,91.3947,91.3947,91.3947,91.3947,91.6914,91.6914,91.6914,91.6914,91.6914,91.6914,91.6914,91.6914,91.6914,91.6914,91.951,91.9881,92.2849,92.2849,92.2849,92.2849,92.2849,92.3323,92.5816,92.5816,92.8783,92.8783,92.8783,92.8783,92.8783,92.8783,92.8783,92.8783,92.8783,92.8783,93.1677,93.4718,93.4718,93.4718,93.4718,93.7685,93.7685,93.7685,93.7685,93.7685,93.7685,93.8516,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.0653,94.362,94.362,94.362,94.362,94.362,94.362,94.362,94.362,94.6588,94.6588,94.9555,94.9555,94.9555,94.9555,94.9555,95.092,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.549,95.549,95.8457,95.8457,95.9273,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.4392,96.4392,96.4392,96.4392,96.4392,96.4392,96.4392,96.4392,96.4392,96.7685,97.0326,97.0326,97.0326,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.6217,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6261,97.6573,97.9228,97.9228,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.2196,98.5104,98.5163,98.5163,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,99.049,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.2715,99.4065,99.4228,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0.520772,1.04154,1.18694,1.19288,2.01039,2.53116,2.96736,3.27596,3.79674,4.31751,4.83828,5.34125,5.63798,5.93472,6.23145,6.25519,6.52819,6.82493,7.12166,7.12166,7.12166,7.12166,7.4184,7.4184,7.67804,8.30861,8.60534,8.90208,9.19881,9.49555,9.61573,10.089,10.089,10.089,10.089,10.3858,10.6825,10.6825,10.6825,10.6825,10.6825,10.6825,11.1172,11.638,12.1588,12.3828,12.9036,13.6499,13.6499,13.6499,13.9466,14.0237,14.2433,14.5401,14.6958,15.1335,15.4303,15.6647,16.0237,16.4095,16.9139,17.1543,17.5074,17.8042,18.1009,18.3976,18.3976,18.3976,18.3976,18.3976,18.3976,18.5045,18.7285,19.546,19.8813,19.9941,20.4748,20.7389,20.7715,20.7715,20.8175,21.0682,21.0682,21.0682,21.365,21.365,21.365,21.6617,21.7196,21.9585,22.2552,22.5519,23.1454,23.73,24.2507,24.4748,24.6291,24.6291,24.6291,24.7774,25.0015,25.2255,25.5193,25.6736,25.8976,26.1128,26.4095,26.7062,26.7062,26.7062,26.7062,27.003,27.0964,27.2997,27.5445,27.5964,27.5964,27.8932,28.1439,28.6647,28.8887,29.3769,29.6736,29.6736,29.7849,30.0089,30.2671,30.457,30.8605,31.1573,31.1573,31.1573,31.1573,31.2077,31.454,31.7507,32.0475,32.3442,32.3442,32.5519,32.6409,32.6409,32.6409,32.6409,32.9377,32.9377,33.23,33.7507,33.8279,34.1246,34.7196,35.3116,35.3116,35.3917,35.6083,35.8398,36.0638,36.4985,36.4985,36.7953,37.092,37.3887,37.3887,37.3887,37.3887,37.3887,37.9822,37.9822,38.1588,38.2789,38.3101,38.5757,38.8724,39.1691,39.1691,39.1691,39.3576,39.4659,39.4659,39.7626,40.0593,40.3561,40.6528,40.6528,40.8531,41.0772,41.2463,41.2463,41.543,42.27,42.7908,43.0267,43.2389,43.4629,43.6202,43.6202,43.9169,43.9169,43.9896,44.2136,44.2136,44.365,44.5104,44.5104,44.5104,44.5104,44.5104,44.819,45.1039,45.2671,45.6973,45.6973,45.6973,45.6973,45.6973,45.7211,45.9941,45.9941,45.9941,45.9941,46.2908,46.2908,46.5875,46.9199,47.4407,47.7745,48.0712,48.0712,48.0712,48.0712,48.0712,48.0712,48.0712,48.0712,48.0712,48.368,48.368,48.368,48.5,48.9614,48.9614,49.1721,49.2582,49.3234,49.5549,49.5549,49.5549,49.8516,50.1469,50.1484,50.2982,50.4451,50.4451,50.7418,51.0386,51.0386,51.0386,51.273,51.497,51.632,51.632,51.8724,51.9288,52.2255,52.2255,52.2255,52.2255,52.2255,52.2255,52.5223,52.5223,52.5223,52.5223,52.5223,52.819,52.819,52.819,53.1157,53.7092,53.8279,54.3027,54.5994,54.5994,54.8961,54.8961,54.8961,54.8961,55.4065,55.5475,55.7864,55.7864,55.7864,56.0831,56.0831,56.3798,56.6766,56.6766,56.6766,56.9733,56.9733,57.27,57.5697,57.8635,58.1602,58.1602,58.1602,58.1602,58.3205,58.7537,58.7537,58.7537,58.7537,59.0504,59.0504,59.3472,59.6439,60.0401,60.2374,60.2374,60.2374,60.2374,60.2374,60.5341,60.5341,60.5341,60.5341,60.5341,60.5341,60.5341,60.5341,60.5341,60.8309,61.1276,61.1276,61.1276,61.4243,61.4243,61.7211,61.7211,61.7211,62.0178,62.0178,62.0178,62.2315,62.7522,62.908,62.908,62.908,63.2047,63.2047,63.5015,63.5015,63.7982,64.1751,64.3917,64.3917,64.3917,64.4777,64.6884,64.6884,64.9852,64.9852,65.3012,65.5786,65.8754,65.9733,66.1721,66.1721,66.1721,66.1721,66.2033,66.4688,66.4688,66.4688,66.4688,66.4688,66.7656,66.7656,66.7656,66.7656,66.7656,66.7656,67.0623,67.0623,67.2626,67.3591,67.3591,67.3591,67.3591,67.6558,67.6558,67.6558,67.9525,67.9525,67.9525,67.9525,68.2493,68.2493,68.546,68.546,68.77,68.9941,69.4362,69.4362,69.7329,69.7329,70.0297,70.3264,70.3264,70.3264,70.3264,70.9199,71.4585,71.5134,71.5134,71.5134,71.5134,71.5134,71.5134,71.8398,72.1068,72.1068,72.4036,72.4036,72.4036,72.7003,72.7003,72.7003,72.7003,72.7003,72.997,72.997,72.997,72.997,73.2938,73.2938,73.2938,73.4985,74.184,74.184,74.184,74.184,74.4807,74.4807,74.7774,75.0742,75.3709,75.3709,75.3709,75.6677,75.6677,75.6677,75.6677,75.6677,75.9644,75.9644,75.9644,75.9644,75.9644,76.2611,76.2774,76.5579,76.7255,76.8546,76.8769,77.1513,77.1513,77.1513,77.1513,77.1513,77.4481,77.8516,78.3383,78.3383,78.5237,78.635,78.635,78.635,78.635,78.635,78.635,78.905,79.2285,79.5252,79.5252,79.822,79.822,79.822,80.1187,80.4006,80.9214,81.0089,81.0089,81.0089,81.224,81.3056,81.3754,81.8991,81.8991,82.1958,82.1958,82.1958,82.1958,82.1958,82.1958,82.1958,82.1958,82.1958,82.4926,82.8042,83.0861,83.0861,83.3828,83.4036,83.6795,84.1484,84.273,84.273,84.273,84.5697,84.5697,84.5697,84.5697,84.5697,84.5697,84.5697,84.8665,84.8665,85.1632,85.2077,85.4599,85.4599,85.8798,86.0534,86.0534,86.3501,86.3501,86.3501,86.3501,86.3501,86.3501,86.3501,86.6365,86.6469,86.6469,86.6469,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,86.9436,87.2404,87.2404,87.2404,87.2404,87.2404,87.2404,87.2404,87.2404,87.2404,87.2893,87.5371,87.5371,87.5371,87.8338,88.4095,88.6335,89.0208,89.0208,89.0208,89.0208,89.3175,89.6142,89.6142,89.911,89.911,89.911,89.911,89.911,90.0623,90.5045,90.5045,90.5045,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,90.8012,91.0979,91.0979,91.0979,91.0979,91.0979,91.0979,91.0979,91.3947,91.3947,91.3947,91.3947,91.8843,91.9881,91.9881,91.9881,91.9881,91.9881,92.2849,92.2849,92.2849,92.2849,92.2849,92.5682,92.5816,92.5816,92.5816,92.5816,92.5816,92.8783,92.8783,92.8783,92.8783,92.8783,93.2522,93.4718,93.4718,93.4718,93.4718,93.7789,94.2997,94.362,94.362,94.362,94.362,94.362,94.362,94.362,94.362,94.362,94.6588,94.6588,94.6588,94.9555,94.9555,94.9555,94.9555,94.9555,94.9555,94.9555,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.2522,95.549,95.549,95.549,95.9273,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.1424,96.4392,96.4392,96.4392,96.4392,96.4392,96.4392,96.7359,96.7359,96.7359,96.7359,96.7359,96.7359,96.7359,96.7359,96.7359,96.7359,97.0326,97.0326,97.3131,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.3294,97.6261,97.6261,97.6261,97.6261,97.6261,97.9228,97.9228,97.9228,97.9228,97.9228,97.9228,97.9228,97.9228,98.3294,98.5163,98.5163,98.5163,98.5163,98.5163,98.7834,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.8131,98.9911,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.1098,99.4065,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,99.7033,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -469,7 +644,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.302747,0.605495,0.798352,1.0989,1.29396,1.5967,1.78956,2.08791,2.28516,2.47802,2.78077,3.08352,3.38626,3.40659,3.66209,3.85495,4.15769,4.46044,4.76319,4.95604,5.25879,5.56154,5.86429,6.15385,6.35989,6.48352,6.7456,7.04835,7.24121,7.32418,7.62692,7.91209,8.12253,8.42527,8.68132,8.81099,9.01099,9.30659,9.60934,9.89011,10,10.2978,10.6005,10.9033,11.206,11.3187,11.5918,11.7846,11.9775,12.2802,12.4731,12.5275,12.6374,12.8319,13.1346,13.3275,13.6302,13.7363,14.0159,14.2857,14.5115,14.7044,15.0071,15.2,15.4945,15.6956,15.8885,16.1912,16.494,16.7967,16.9231,16.9626,17.2527,17.4582,17.6511,17.8022,17.9121,18.0099,18.3126,18.5714,18.5714,18.6714,18.6813,18.7275,19.0302,19.333,19.5258,19.8286,20.1099,20.2198,20.4071,20.5495,20.7692,20.8758,21.0687,21.3714,21.5643,21.867,22.0599,22.3626,22.6374,22.8582,23.161,23.244,23.2967,23.5198,23.7126,23.9055,24.1758,24.2857,24.4841,24.6769,24.7599,24.9451,25.1456,25.2747,25.3846,25.6143,25.8071,26,26.1929,26.2758,26.4687,26.7714,26.9231,26.9374,27.1302,27.3626,27.6258,27.8022,27.9016,28.2044,28.5071,28.8099,29.1126,29.1209,29.3885,29.5813,29.8841,29.967,30.2198,30.4396,30.6555,30.7692,30.989,31.1242,31.317,31.4286,31.5385,31.5659,31.8681,31.8681,31.978,32.2275,32.3104,32.6132,32.6374,32.7473,32.972,33.0769,33.2967,33.4407,33.6264,33.7363,33.956,34.1022,34.2951,34.5978,34.8352,34.8736,35.1764,35.2747,35.3846,35.6451,35.9478,36.1538,36.2637,36.3736,36.6093,36.8022,37.033,37.2978,37.5824,37.7934,37.9121,37.9121,38.022,38.022,38.2082,38.4011,38.4615,38.6769,38.8698,39.1725,39.4753,39.778,39.7802,40.0538,40.1368,40.3297,40.5225,40.6593,40.6593,40.6593,40.7445,41.0473,41.2088,41.2088,41.406,41.6484,41.7918,41.8747,42.0676,42.3703,42.5275,42.6374,42.7291,42.922,43.0769,43.0879,43.2967,43.5835,43.7764,43.9692,44.0659,44.1758,44.2857,44.411,44.6154,44.7253,44.8352,45.0549,45.1648,45.2747,45.5412,45.6242,45.8242,46.0099,46.2637,46.3956,46.5885,46.7813,47.0841,47.2769,47.4725,47.5527,47.6357,47.8286,48.1313,48.1319,48.4071,48.6,48.9027,49.2055,49.2885,49.5912,49.8901,50,50.1698,50.3297,50.4456,50.6385,50.8791,50.9143,51.1071,51.2088,51.4286,51.5385,51.6588,51.9615,52.0879,52.2374,52.5275,52.6374,52.7473,52.8571,53.0918,53.2846,53.4066,53.4066,53.5165,53.7264,53.8462,53.956,53.956,54.1681,54.2511,54.444,54.7253,54.8352,54.9126,54.9956,55.1648,55.2747,55.4945,55.4945,55.5203,55.8231,56.0159,56.1538,56.2918,56.4846,56.7033,56.8132,56.9533,57.1429,57.2291,57.4725,57.6148,57.6978,57.9121,57.9736,58.2764,58.4692,58.5714,58.6352,58.828,58.911,59.011,59.2308,59.2698,59.3407,59.4357,59.5604,59.7115,59.8901,59.8901,59.8901,60.0434,60.3297,60.4291,60.5121,60.6593,60.7879,60.9808,60.989,60.989,61.1198,61.3187,61.3956,61.5885,61.7582,61.9742,62.0879,62.3077,62.3077,62.4176,62.4176,62.6374,62.6374,62.7478,62.9407,63.0236,63.3264,63.5192,63.6264,63.7951,64.0659,64.1758,64.1758,64.3956,64.4297,64.6154,64.8154,64.8352,64.9813,65.0643,65.2747,65.3846,65.4945,65.7143,65.7143,65.8242,65.9747,66.1676,66.3604,66.4835,66.4835,66.7033,66.7033,66.9231,67.078,67.161,67.3538,67.4725,67.5198,67.6923,67.8022,67.9885,68.2418,68.2418,68.3473,68.4302,68.5132,68.5962,68.6813,68.7621,68.7912,68.8181,69.011,69.2038,69.2308,69.4505,69.4505,69.6456,69.8385,70.1099,70.3341,70.4396,70.5,70.6593,70.8857,71.1885,71.3187,71.4286,71.5385,71.6302,71.7582,71.906,72.0989,72.2918,72.4176,72.5676,72.6374,72.7335,72.9264,73.0769,73.2022,73.2967,73.478,73.561,73.6264,73.7363,73.956,73.956,73.956,73.956,74.0659,74.0659,74.0659,74.2808,74.5055,74.6154,74.7495,74.9451,75.1352,75.2747,75.2747,75.2747,75.3571,75.3846,75.5231,75.6044,75.7989,75.8242,75.9341,75.9341,75.9341,76.1538,76.3736,76.3736,76.3736,76.4835,76.4835,76.6016,76.7033,76.8132,76.9231,77.033,77.1429,77.2093,77.2923,77.5951,77.7879,78.022,78.2418,78.2566,78.5593,78.6813,78.7912,78.7912,78.7912,78.7912,78.8374,78.9011,78.9011,78.9011,78.9011,78.9011,79.0055,79.1209,79.3912,79.4505,79.4505,79.5604,79.5604,79.6703,79.6703,79.7802,79.8901,80.1099,80.3297,80.5236,80.7165,80.989,81.0989,81.0989,81.2088,81.2412,81.5385,81.6484,81.6484,81.6484,81.7582,81.8681,81.978,81.978,81.9879,82.1978,82.3736,82.5275,82.6374,82.7324,82.9253,83.0769,83.0769,83.1868,83.1868,83.45,83.6264,83.6264,83.7363,83.8918,83.956,83.956,84.0308,84.0659,84.0868,84.1758,84.1758,84.1758,84.1989,84.2857,84.3956,84.3956,84.4209,84.6154,84.6154,84.6154,84.7253,84.7253,84.8352,84.8352,84.9451,84.9451,85.1407,85.3335,85.4945,85.4945,85.6923,85.8242,85.8242,85.9341,86.0242,86.044,86.0802,86.2731,86.3736,86.439,86.4835,86.4951,86.6879,86.7709,86.9231,87.033,87.033,87.1429,87.1429,87.1429,87.1429,87.2148,87.3626,87.3626,87.3626,87.3626,87.4725,87.4725,87.5758,87.5824,87.5824,87.6923,87.6923,87.6923,87.8538,87.9121,88.0198,88.1319,88.2956,88.3516,88.3516,88.4615,88.5714,88.6005,88.7934,88.9011,89.011,89.011,89.1209,89.1209,89.1209,89.2308,89.2308,89.2755,89.3407,89.3764,89.4505,89.4505,89.4505,89.4505,89.4505,89.4505,89.6275,89.7802,89.7802,89.8901,89.8901,89.8901,90.0154,90.1099,90.1813,90.2198,90.3473,90.4396,90.4396,90.5495,90.5692,90.6593,90.6593,90.8181,90.989,90.989,91.0989,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.3187,91.3764,91.5385,91.5385,91.5385,91.5385,91.5385,91.5385,91.6275,91.8681,91.8681,91.8681,91.8681,91.8681,91.8681,91.8786,92.0714,92.0879,92.0879,92.2104,92.4176,92.5275,92.5275,92.5275,92.7352,92.967,93.0769,93.1868,93.1868,93.2967,93.3429,93.5165,93.5165,93.5918,93.6264,93.7363,93.7363,93.7363,93.7363,93.7363,93.8429,93.9258,94.0659,94.1758,94.2857,94.3956,94.5055,94.5055,94.5055,94.5055,94.5055,94.6154,94.6154,94.7253,94.7253,94.8352,94.9451,94.9451,94.9451,94.9451,94.9527,95.0549,95.1187,95.2747,95.2747,95.2747,95.2747,95.3846,95.3846,95.3846,95.3846,95.3846,95.3846,95.3846,95.4945,95.6478,95.7143,95.7143,95.8242,95.8242,95.8242,95.8242,95.8242,95.8242,95.9341,95.9341,95.9341,95.9341,95.9571,96.044,96.044,96.044,96.044,96.1522,96.1538,96.2082,96.2637,96.2643,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3852,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.6115,96.7033,96.7033,96.7033,96.8132,96.8132,96.8132,96.8132,96.8132,96.8132,96.8132,96.9231,96.9231,96.9231,96.9231,96.9231,96.9231,96.9231,97.006,97.089,97.1429,97.1429,97.228,97.311,97.3626,97.3626,97.3626,97.3626,97.3626,97.4725,97.4725,97.5824,97.5824,97.5824,97.5824,97.5824,97.6923,97.6923,97.6923,97.6923,97.8022,97.8154,97.9121,97.9121,97.9544,98.022,98.022,98.022,98.022,98.022,98.022,98.022,98.022,98.1319,98.2418,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.4615,98.4615,98.4615,98.5714,98.5714,98.6291,98.6813,98.6813,98.6813,98.6813,98.7143,98.7912,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9967,99.011,99.011,99.011,99.011,99.011,99.011,99.011,99.011,99.0841,99.1209,99.1209,99.1209,99.1209,99.1209,99.1209,99.1209,99.1209,99.1209,99.1209,99.2275,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.4154,99.4505,99.4505,99.4505,99.5604,99.5604,99.5604,99.5604,99.5604,99.5604,99.5604,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.8456,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.8901,99.9687,100,100,100,100,100,100,100]
+						"values": [0,0.302747,0.605495,0.798352,0.991209,1.29396,1.5967,1.89945,2.2022,2.50495,2.80769,3.11044,3.3033,3.60604,3.90879,4.21154,4.4044,4.61538,4.72527,4.87308,5.17582,5.47857,5.67143,5.86429,6.05714,6.15385,6.37363,6.52582,6.82857,7.13132,7.43407,7.73681,8.03956,8.24176,8.35165,8.50824,8.81099,9.11374,9.30659,9.60934,9.91209,10.1099,10.4077,10.7104,11.0132,11.3159,11.6187,11.8115,12.0044,12.3071,12.6099,12.8027,13.1055,13.4082,13.711,13.8462,14.0967,14.2896,14.5923,14.7253,14.7582,15.061,15.3637,15.6665,15.9692,16.1621,16.4648,16.6577,16.9231,17.0434,17.2527,17.539,17.8022,17.8148,18.022,18.0907,18.3934,18.5863,18.7791,18.972,19.2747,19.3577,19.6604,19.6703,19.8901,20.1291,20.3297,20.6247,20.7692,20.9005,21.0934,21.2863,21.4791,21.6484,21.8648,22.0879,22.0879,22.2236,22.3077,22.6093,22.8022,23.1049,23.4077,23.7104,23.8462,23.9863,24.2857,24.4819,24.7846,24.9451,25.0549,25.0549,25.2264,25.5291,25.722,26.0247,26.2176,26.5203,26.7132,26.906,27.2088,27.3626,27.4725,27.6775,27.8703,28.1319,28.3516,28.5588,28.6813,28.7247,28.9176,29.1209,29.2308,29.2308,29.4692,29.6621,29.7802,30.0478,30.1099,30.2198,30.4066,30.4896,30.7692,30.9852,31.0989,31.3709,31.5637,31.8665,31.9495,32.0324,32.3077,32.4176,32.611,32.8571,32.967,33.1896,33.3824,33.5753,33.8462,34.0709,34.2637,34.3467,34.5396,34.7253,34.7253,34.8984,35.0912,35.394,35.4945,35.6044,35.6044,35.8357,35.9341,36.2214,36.5242,36.6071,36.9099,37.1027,37.2527,37.2687,37.5714,37.6544,37.8473,38.022,38.022,38.206,38.289,38.4615,38.4615,38.5714,38.7308,39.0335,39.2308,39.4505,39.722,39.9148,40.2176,40.4104,40.5495,40.6593,40.7692,40.989,41.0989,41.2088,41.2088,41.2088,41.4286,41.5385,41.6527,41.9555,42.1484,42.3412,42.5341,42.7473,43.0297,43.0769,43.3055,43.6082,43.911,43.994,44.1758,44.2698,44.4626,44.7253,44.7253,44.7253,44.8352,45.0549,45.1802,45.3731,45.5659,45.7588,45.8418,46.0346,46.2275,46.3104,46.5934,46.6962,46.8132,47.033,47.2747,47.5775,47.6923,47.8533,47.9121,48.0192,48.2121,48.4049,48.7077,48.9005,49.2033,49.3407,49.4505,49.4505,49.5604,49.6703,49.9209,50.1099,50.3066,50.4995,50.8022,50.8791,51.078,51.2709,51.4637,51.6566,51.8681,51.8681,51.978,52.0879,52.2912,52.594,52.7473,52.8571,52.9527,53.1868,53.3385,53.4214,53.7242,53.917,53.956,53.956,54.056,54.2489,54.5055,54.5247,54.6154,54.6154,54.7253,54.8352,54.9396,54.9451,55.0549,55.1885,55.3846,55.5742,55.7143,55.8242,55.933,55.9341,56.044,56.072,56.1538,56.2637,56.5407,56.7335,56.9231,57.0093,57.1429,57.3951,57.5824,57.5824,57.6923,57.9121,58.0297,58.2418,58.4615,58.5714,58.5813,58.6813,58.7912,58.9011,59.133,59.3407,59.5604,59.6703,59.7802,59.8901,60,60.1533,60.3297,60.539,60.5495,60.7049,60.7879,60.8791,60.989,61.0989,61.0989,61.3126,61.5055,61.5885,61.8681,61.978,62.0879,62.25,62.4176,62.5275,62.5275,62.6374,62.6648,62.9676,63.1868,63.2434,63.4066,63.4066,63.4066,63.5753,63.6264,63.6264,63.8242,63.956,64.0659,64.183,64.3956,64.4588,64.6516,64.8352,65.0374,65.2302,65.4231,65.6159,65.7143,66.0016,66.1538,66.1676,66.2637,66.2637,66.2637,66.3736,66.3736,66.4456,66.4835,66.4835,66.5934,66.5934,66.7033,66.7236,67.0264,67.1429,67.2527,67.3626,67.4681,67.5824,67.6923,67.8269,68.022,68.022,68.1857,68.2418,68.3516,68.4615,68.5714,68.7104,68.9011,68.9011,68.9593,69.0423,69.3407,69.4505,69.6209,69.7802,69.8967,70,70.2198,70.2555,70.4484,70.6412,70.7692,70.989,71.2198,71.4286,71.5385,71.6484,71.7714,72.0742,72.3077,72.4599,72.7626,72.967,73.0769,73.1214,73.4242,73.5165,73.6264,73.7363,73.956,74.1687,74.2857,74.3956,74.4176,74.6154,74.6154,74.8352,74.9451,74.9451,75.0253,75.1648,75.1648,75.3841,75.4945,75.6599,75.7143,75.7159,75.8242,76.044,76.044,76.1538,76.3071,76.4335,76.4835,76.4835,76.5725,76.7033,76.7033,76.7115,76.9044,76.9874,77.033,77.1429,77.2527,77.4725,77.4725,77.5951,77.6923,77.6923,77.6923,77.6923,77.6923,77.7632,77.9121,78.039,78.3418,78.3516,78.4615,78.4808,78.5714,78.6813,78.6813,78.8126,79.011,79.3082,79.3912,79.5604,79.6703,79.75,79.8901,79.9159,80,80.1099,80.1099,80.2198,80.3308,80.5236,80.7165,80.9093,81.1022,81.2088,81.3187,81.3511,81.4286,81.4286,81.6,81.6484,81.7582,81.7582,81.9319,82.0148,82.2077,82.4005,82.5275,82.6374,82.6495,82.8571,82.967,82.967,82.967,83.0643,83.1868,83.2967,83.5165,83.5165,83.7363,84.0016,84.0846,84.1758,84.2857,84.2857,84.3956,84.3956,84.5055,84.6154,84.7253,84.7253,84.7253,84.9451,85.0549,85.2731,85.3846,85.4945,85.5014,85.5771,85.6044,85.6044,85.7143,85.7143,85.7143,85.7143,85.7143,85.8242,85.9341,86.1538,86.1538,86.1538,86.1538,86.3736,86.5198,86.7033,86.7033,86.7033,86.7033,86.7148,86.8132,86.8132,86.9231,86.9231,86.9231,86.9231,87.033,87.033,87.033,87.033,87.1429,87.2527,87.3626,87.3626,87.3626,87.4725,87.4725,87.5824,87.7418,87.8022,87.9121,87.9907,88.1319,88.1319,88.2418,88.2418,88.3516,88.3786,88.6813,88.6813,88.7912,88.8203,88.9033,89.011,89.1209,89.2621,89.4549,89.6478,89.7802,89.7802,89.8901,89.8901,89.8901,89.8901,89.8901,90,90.1099,90.2198,90.2198,90.2198,90.3297,90.4396,90.4396,90.4396,90.4396,90.5495,90.6593,90.6593,90.8407,90.8791,90.8967,91.0989,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.2088,91.3187,91.3187,91.3187,91.3187,91.3187,91.4819,91.6484,91.6484,91.6484,91.7582,91.7582,91.7582,91.8681,91.9258,92.0088,92.0918,92.1978,92.1978,92.2308,92.4176,92.4176,92.5896,92.7473,92.7555,92.8571,92.967,92.967,92.967,92.967,93.0769,93.1868,93.1868,93.2824,93.4753,93.6264,93.7363,93.7363,93.8462,93.8462,93.8462,93.8462,93.8462,93.8462,93.956,93.956,93.956,93.956,93.956,93.956,93.956,93.956,93.956,93.956,94.0659,94.1758,94.1758,94.1758,94.1758,94.2857,94.2857,94.2857,94.2857,94.3429,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.5055,94.6522,94.7253,94.7253,94.9011,94.9841,95.0549,95.0549,95.0549,95.0549,95.0549,95.0549,95.0549,95.0984,95.3846,95.4841,95.4945,95.4945,95.4945,95.4945,95.5692,95.6044,95.6044,95.6044,95.6813,95.7143,95.7143,95.8242,95.9033,96.044,96.044,96.044,96.044,96.044,96.1538,96.1538,96.1538,96.2104,96.2637,96.2637,96.2637,96.2637,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.3736,96.4835,96.4835,96.4835,96.4835,96.4835,96.4835,96.6049,96.7033,96.7033,96.7033,96.7033,96.7033,96.8132,96.8132,96.8132,96.8132,96.9231,96.9231,96.9231,96.9231,97.033,97.1901,97.2731,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.3626,97.4725,97.4725,97.5824,97.5824,97.5824,97.5824,97.5824,97.5824,97.5824,97.5824,97.7258,97.8022,97.8022,97.8022,97.8379,97.9121,97.9121,97.9121,97.9121,97.9121,98.006,98.022,98.022,98.022,98.1319,98.1319,98.1742,98.3516,98.3516,98.3516,98.3516,98.3516,98.3516,98.4615,98.4615,98.4615,98.4615,98.4615,98.4615,98.4615,98.4615,98.4615,98.4615,98.5714,98.5714,98.5714,98.5714,98.5714,98.5714,98.6813,98.6813,98.6813,98.6813,98.6813,98.6813,98.6813,98.6813,98.7681,98.7912,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,98.9011,99.011,99.011,99.011,99.011,99.011,99.011,99.011,99.011,99.1209,99.1209,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2308,99.2566,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.3407,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.4505,99.5604,99.5604,99.5604,99.5791,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.6703,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.7802,99.8901,99.8901,99.8901,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -482,7 +657,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.236887,0.473775,0.710662,0.947549,1.18444,1.42132,1.65821,1.8951,2.13199,2.28289,2.51978,2.75666,2.99355,3.23044,3.46733,3.70421,3.9411,4.17799,4.41488,4.65176,4.88865,5.12554,5.33104,5.51333,5.67498,5.90112,6.13801,6.37489,6.61178,6.84867,7.08555,7.32244,7.55933,7.79622,8.0331,8.26999,8.50688,8.74377,8.98065,9.21754,9.45443,9.69132,9.88822,10.0791,10.316,10.5529,10.7898,11.006,11.0916,11.3285,11.5653,11.8022,12.0391,12.276,12.5129,12.7498,12.9867,13.1556,13.3745,13.6113,13.8482,14.0851,14.322,14.5589,14.7958,15.0327,15.2696,15.5064,15.6574,15.8942,16.1311,16.3371,16.5189,16.7558,16.9927,17.2296,17.4665,17.7034,17.9402,18.1771,18.4007,18.5649,18.8018,19.0387,19.2756,19.5125,19.7494,19.9862,20.2231,20.46,20.6969,20.9338,21.1707,21.4076,21.6445,21.8401,22.0322,22.2691,22.506,22.6569,22.8938,23.1307,23.3018,23.5185,23.7554,23.9923,24.2291,24.3801,24.6169,24.8538,25.0907,25.3276,25.5645,25.8014,26.0383,26.1892,26.4261,26.6629,26.8998,27.1367,27.3431,27.4385,27.6754,27.9123,28.1492,28.3861,28.623,28.6879,28.9248,29.1617,29.3985,29.6354,29.8366,30.0232,30.2601,30.497,30.6479,30.8848,31.1217,31.2726,31.5095,31.7463,31.9832,32.2201,32.457,32.6939,32.9308,33.1677,33.4046,33.6414,33.8783,34.1152,34.3521,34.589,34.8259,35.0628,35.2997,35.5365,35.7696,35.9243,36.1612,36.3121,36.3742,36.5279,36.7648,36.9157,37.0666,37.3035,37.5404,37.7773,38.0142,38.1771,38.316,38.5529,38.7898,38.951,39.1776,39.4144,39.6513,39.8882,40.0688,40.276,40.4269,40.6638,40.8426,41.0516,41.2885,41.5254,41.7623,41.9991,42.236,42.4729,42.7098,42.9467,43.1836,43.4205,43.5942,43.8083,44.0451,44.282,44.4329,44.626,44.7347,44.9716,45.2085,45.4454,45.5963,45.6612,45.8121,46.0017,46.1999,46.4316,46.5877,46.8246,47.0615,47.2984,47.4493,47.6862,47.923,48.1599,48.3968,48.6337,48.8706,49.1075,49.2691,49.4953,49.7322,49.969,50.2059,50.4428,50.6797,50.9166,51.0748,51.2184,51.4553,51.6922,51.9291,52.166,52.3646,52.5537,52.7085,52.9415,53.1384,53.3293,53.5662,53.8031,53.954,54.1909,54.4278,54.6647,54.9015,55.1161,55.2893,55.46,55.5911,55.804,55.9789,56.2158,56.4527,56.6896,56.9265,57.1634,57.3143,57.4652,57.7021,57.853,58.0039,58.1548,58.3057,58.5426,58.7794,58.8134,58.9953,59.2322,59.3831,59.5873,59.6849,59.8452,59.9867,60.1376,60.2885,60.4394,60.5903,60.7911,60.9781,61.129,61.1939,61.3448,61.4957,61.6466,61.8835,62.1204,62.3573,62.5107,62.7451,62.9819,63.2188,63.4557,63.5206,63.6715,63.8224,64.0593,64.2102,64.4024,64.512,64.7463,64.8323,64.9647,65.0297,65.1763,65.3315,65.5684,65.8052,65.9501,66.0211,66.1221,66.3229,66.4738,66.7107,66.9475,67.1844,67.3259,67.4119,67.5512,67.7558,67.9278,67.9278,68.1548,68.3577,68.4437,68.6075,68.7584,68.9093,69.1462,69.3035,69.534,69.6475,69.8358,69.9054,69.9054,70.1165,70.2494,70.2494,70.3353,70.3762,70.5271,70.6793,70.8289,70.9798,71.1952,71.3676,71.5391,71.7554,71.8203,71.9712,72.2081,72.313,72.4239,72.485,72.485,72.6187,72.7429,72.8289,72.9149,73.0868,73.1728,73.2661,73.503,73.5679,73.6328,73.7747,73.7747,73.8607,73.9467,74.0434,74.1187,74.1187,74.2382,74.3031,74.4626,74.5486,74.6346,74.8065,74.8925,75.0645,75.1505,75.2365,75.4033,75.4084,75.5804,75.598,75.7524,75.7524,75.8383,75.9243,75.9243,75.9875,76.1384,76.2893,76.3543,76.5911,76.7842,76.9561,77.0421,77.1948,77.3457,77.4106,77.558,77.558,77.644,77.816,77.816,77.8861,77.902,78.0739,78.0739,78.1599,78.2966,78.4179,78.4265,78.6634,78.6758,78.7932,78.9441,79.0198,79.0739,79.1058,79.1917,79.2777,79.4196,79.5705,79.7077,79.7077,79.7653,79.7936,79.7936,79.7936,79.8796,79.9656,80.0688,80.2236,80.3706,80.3955,80.5675,80.5675,80.8022,80.9114,80.9114,80.997,81.0619,81.1694,81.3414,81.5133,81.5795,81.5993,81.6234,81.8573,81.8573,81.9433,82.0292,82.0292,82.1152,82.2012,82.2012,82.2936,82.3732,82.3732,82.3732,82.4592,82.5322,82.5451,82.5451,82.641,82.7171,82.8891,82.8891,82.8891,82.8891,82.9445,83.0095,83.233,83.233,83.319,83.5271,83.6629,83.7429,83.8349,83.8727,83.9377,84.0069,84.1535,84.2648,84.4553,84.6922,84.7571,84.7807,84.8667,85.0378,85.1247,85.1247,85.1247,85.2115,85.3624,85.3826,85.3826,85.3826,85.3826,85.4686,85.58,85.6406,85.6406,85.7266,85.7266,85.8186,85.9845,85.9845,85.9845,85.9845,85.9845,86.1221,86.1565,86.2519,86.3285,86.3285,86.5327,86.6724,86.6724,86.6724,86.7584,86.7584,86.7584,86.8444,86.9304,86.9304,87.0163,87.1023,87.1023,87.1187,87.2743,87.4205,87.4854,87.5322,87.5322,87.5942,87.7042,87.7902,87.7902,87.7902,87.8328,87.8762,87.8762,87.8762,87.8762,87.8762,87.9622,87.9622,88.0082,88.2201,88.224,88.3921,88.4781,88.5641,88.65,88.7206,88.9574,89.0224,89.0873,89.3242,89.3891,89.5099,89.5959,89.5959,89.6819,89.7137,89.7678,89.7678,89.8224,89.8538,89.8663,89.9398,90.0258,90.1118,90.126,90.3629,90.3697,90.3697,90.4557,90.4557,90.4557,90.4557,90.4557,90.5383,90.6277,90.6277,90.7137,90.7137,90.8629,90.8856,90.9716,90.9716,91.0576,91.1436,91.1436,91.2296,91.2296,91.2296,91.2296,91.3156,91.4015,91.4015,91.4875,91.4875,91.4875,91.5365,91.6015,91.6595,91.7313,91.7455,91.7455,91.8315,91.8315,91.9175,91.9175,91.9278,92.0787,92.0894,92.0894,92.0894,92.0894,92.0894,92.2614,92.2614,92.2614,92.4334,92.4334,92.4334,92.4334,92.5193,92.6053,92.6053,92.6053,92.6053,92.6053,92.6053,92.6053,92.6913,92.819,92.8633,92.9493,93.0353,93.1212,93.1212,93.1212,93.1874,93.2072,93.2072,93.2932,93.2932,93.3792,93.3792,93.3792,93.3792,93.3792,93.4652,93.4652,93.4652,93.4652,93.4652,93.5512,93.5512,93.5512,93.7231,93.733,93.8091,93.8629,93.8951,93.9067,93.9811,93.9811,94.0671,94.0671,94.1453,94.1531,94.1531,94.1531,94.1531,94.1531,94.1531,94.1531,94.239,94.3856,94.411,94.411,94.411,94.411,94.497,94.497,94.497,94.497,94.497,94.497,94.497,94.497,94.497,94.6066,94.669,94.669,94.669,94.669,94.669,94.669,94.669,94.669,94.675,94.7549,94.7549,94.7549,94.7549,94.7549,94.8065,94.8409,94.8409,94.9153,94.9269,94.9269,94.9269,94.9269,95.0129,95.1328,95.1849,95.2627,95.2709,95.3568,95.3568,95.3568,95.4153,95.4802,95.5288,95.6148,95.6148,95.7008,95.7868,95.7868,95.7868,95.8727,95.8727,95.9587,95.9587,95.9587,95.9587,96.1307,96.1307,96.2167,96.2167,96.2167,96.2167,96.2167,96.2416,96.3027,96.3027,96.3027,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.3887,96.4746,96.4746,96.4746,96.4746,96.4746,96.5606,96.5606,96.6466,96.6466,96.6466,96.6466,96.6466,96.6466,96.7326,96.8186,96.8186,96.8186,96.8186,96.8186,96.9046,96.9046,96.9046,96.9046,96.9695,96.9905,96.9905,96.9905,96.9905,96.9905,97.0765,97.0765,97.1449,97.2485,97.2485,97.2485,97.2485,97.2485,97.2764,97.3345,97.3345,97.4205,97.5361,97.5924,97.5924,97.5924,97.5924,97.5924,97.5924,97.5924,97.5924,97.6784,97.6784,97.7644,97.7644,97.8504,97.8504,97.8504,97.8504,97.8504,97.8504,97.8504,98.0224,98.0224,98.0224,98.0224,98.0224,98.1273,98.1943,98.1943,98.1943,98.1943,98.1943,98.1943,98.1943,98.1943,98.2803,98.2803,98.2803,98.2803,98.2803,98.4342,98.5383,98.5383,98.6242,98.6242,98.6242,98.7377,98.7962,98.7962,98.7962,98.7962,98.8822,98.8822,98.8822,98.8822,98.8822,98.8822,98.8822,98.9682,98.9682,98.9682,98.9682,98.9682,99.0542,99.0542,99.1113,99.1402,99.2261,99.2261,99.2261,99.2261,99.2261,99.2261,99.2868,99.3121,99.3121,99.3121,99.3981,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.6058,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.828,99.828,99.828,99.828,99.828,99.828,99.828,99.828,99.828,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.9738,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0.236887,0.473775,0.710662,0.947549,1.18444,1.42132,1.65821,1.8951,2.13199,2.36887,2.60576,2.84265,3.07954,3.31642,3.55331,3.7902,4.02709,4.26397,4.50086,4.73775,4.97463,5.21152,5.41702,5.59931,5.8362,5.9871,6.22399,6.46088,6.69776,6.93465,7.17154,7.40843,7.64531,7.8822,8.11909,8.35598,8.59286,8.82975,9.06664,9.30353,9.54041,9.7773,9.9282,10.1651,10.402,10.6389,10.8758,11.1126,11.3495,11.5864,11.8233,12.0602,12.2971,12.534,12.7709,12.9218,13.1586,13.3955,13.6324,13.8693,14.0202,14.2571,14.494,14.7309,14.9678,15.1333,15.3555,15.5924,15.8293,16.0662,16.2511,16.454,16.6909,16.9278,17.1647,17.4015,17.6384,17.8753,18.1122,18.3491,18.586,18.8229,19.0598,19.2966,19.5335,19.7704,19.9484,20.1582,20.3951,20.632,20.8689,21.1058,21.3426,21.5795,21.8164,22.0533,22.2902,22.442,22.678,22.9149,23.0658,23.3027,23.4536,23.6905,23.9273,24.1642,24.4011,24.638,24.8749,25.0258,25.2627,25.3654,25.5645,25.7154,25.9523,26.1892,26.4261,26.6629,26.8998,27.0507,27.2876,27.5245,27.7614,27.9983,28.2352,28.4721,28.7089,28.9458,29.1827,29.3702,29.5705,29.8074,30.0443,30.2812,30.5181,30.7549,30.9544,31.1427,31.2936,31.5305,31.7674,32.0043,32.1582,32.3921,32.629,32.8659,33.1028,33.3396,33.5765,33.8134,34.0503,34.2872,34.5241,34.761,34.9979,35.2347,35.4716,35.7085,35.9454,36.1823,36.3715,36.5701,36.807,37.0439,37.2807,37.5176,37.7545,37.9914,38.1423,38.3792,38.6161,38.779,38.865,39.037,39.2197,39.4566,39.5529,39.7584,39.9953,40.2322,40.469,40.7059,40.9428,41.1797,41.4166,41.5675,41.7885,41.9553,42.1922,42.4291,42.58,42.8169,42.9678,43.2046,43.4415,43.6784,43.8293,44.0662,44.2171,44.368,44.6049,44.8418,45.0787,45.3156,45.5525,45.7438,45.9402,46.1771,46.414,46.6509,46.8878,47.1247,47.3616,47.5985,47.7214,47.8934,47.9652,48.2021,48.439,48.6758,48.9127,49.1496,49.3865,49.4514,49.6883,49.871,50.043,50.227,50.3869,50.4428,50.6797,50.9166,50.9888,51.1324,51.3693,51.5202,51.7571,51.994,52.2309,52.2958,52.5327,52.7696,52.9665,53.1574,53.3942,53.6311,53.868,54.0189,54.1702,54.4067,54.6002,54.7945,55.0314,55.2683,55.5052,55.742,55.9789,56.2158,56.3667,56.6036,56.8405,56.9914,57.1797,57.2657,57.3581,57.4377,57.6599,57.8968,58.1337,58.3706,58.6075,58.7584,58.9854,59.0714,59.2971,59.534,59.7709,59.9218,60.0727,60.2752,60.4604,60.6973,60.8482,61.0851,61.322,61.3929,61.5649,61.6887,61.9256,62.0765,62.3134,62.4248,62.6152,62.8521,63.089,63.2399,63.4768,63.6285,63.6926,63.9295,64.0804,64.3173,64.4024,64.5331,64.684,64.9183,64.9858,65.0507,65.2016,65.2666,65.5034,65.6922,65.8912,66.1221,66.1221,66.1221,66.3229,66.552,66.638,66.8616,67.0125,67.2494,67.3259,67.5512,67.7021,67.939,68.1758,68.4127,68.5297,68.6285,68.8654,68.9596,69.1316,69.2322,69.3035,69.4755,69.6475,69.8194,69.9867,70.0774,70.1634,70.3534,70.4213,70.5692,70.7201,70.7653,70.9359,71.0009,71.1952,71.3672,71.4536,71.5391,71.5391,71.5623,71.7992,72.0361,72.227,72.399,72.5709,72.6569,72.7906,72.8289,72.9149,72.9854,73.1363,73.2588,73.3521,73.5168,73.6028,73.6028,73.6978,73.7747,73.9136,74.1187,74.1294,74.2803,74.2906,74.3242,74.3766,74.454,74.6346,74.8418,74.9785,75.0645,75.0645,75.2365,75.4243,75.4944,75.4944,75.4944,75.598,75.6664,75.7279,75.8383,75.8577,76.0103,76.0963,76.1823,76.2034,76.3543,76.5052,76.6122,76.721,76.7842,76.8702,76.8702,76.9561,77.0456,77.2141,77.2807,77.4983,77.558,77.558,77.693,77.816,77.9089,77.988,78.1247,78.2756,78.4265,78.5774,78.6758,78.8792,79.0301,79.267,79.3637,79.4497,79.4497,79.4497,79.5056,79.5705,79.6217,79.6217,79.7653,79.8796,79.9811,80.1376,80.2236,80.2618,80.3955,80.4776,80.5426,80.7794,80.9114,80.9114,80.9974,81.0834,81.276,81.4273,81.4273,81.5567,81.7451,81.9433,81.9433,82.0744,82.2012,82.2042,82.2872,82.3732,82.4592,82.5451,82.6148,82.7171,82.7446,82.8891,82.8891,82.9394,83.061,83.061,83.061,83.061,83.147,83.147,83.147,83.2868,83.319,83.3306,83.491,83.491,83.491,83.577,83.6629,83.7489,83.7489,83.7489,83.8289,83.8349,83.8349,83.9209,83.9209,83.9815,84.1324,84.1788,84.2648,84.3508,84.3508,84.3508,84.3508,84.4368,84.5658,84.6088,84.6948,84.7605,84.9527,85.0623,85.1247,85.1247,85.2571,85.322,85.4686,85.6238,85.7747,85.8985,85.8985,85.9845,86.1204,86.2425,86.3285,86.3285,86.3801,86.5004,86.5004,86.5004,86.5004,86.5864,86.6724,86.6724,86.7274,86.8444,87.0163,87.0163,87.0163,87.0163,87.031,87.1023,87.1883,87.2257,87.4463,87.4463,87.5064,87.6182,87.7042,87.7872,87.8762,88.003,88.1341,88.2201,88.3697,88.3921,88.5856,88.736,88.736,88.736,88.7592,88.908,88.908,88.994,88.994,88.994,89.08,89.08,89.166,89.1715,89.2519,89.2519,89.2519,89.2592,89.4239,89.5099,89.5099,89.5959,89.5959,89.6488,89.7137,89.7678,89.7678,89.7678,89.7678,89.7678,89.8452,90.0258,90.0258,90.0258,90.1909,90.2558,90.3697,90.4557,90.5417,90.6015,90.6664,90.7137,90.7997,90.7997,90.8856,90.9716,91.0576,91.1436,91.1436,91.1436,91.1436,91.2296,91.2296,91.2296,91.2296,91.2296,91.2296,91.2296,91.2296,91.2296,91.2296,91.2558,91.3156,91.3156,91.3156,91.3156,91.3224,91.4015,91.4015,91.5172,91.5735,91.647,91.7979,91.9488,92.0034,92.0034,92.0894,92.2614,92.3474,92.3474,92.3474,92.3474,92.3611,92.4334,92.4334,92.4334,92.6053,92.6053,92.6053,92.6436,92.6913,92.6913,92.6913,92.6913,92.6913,92.6913,92.6913,92.6913,92.7773,92.7773,92.9278,92.9493,92.9493,92.9493,92.9493,92.9493,92.9493,92.9493,93.0353,93.0353,93.0353,93.1212,93.1909,93.2072,93.2072,93.2997,93.4652,93.4652,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5512,93.5645,93.7154,93.7803,93.8951,93.9101,93.9811,93.9811,93.9811,93.9811,93.9811,94.1277,94.325,94.325,94.325,94.3874,94.411,94.411,94.411,94.497,94.497,94.583,94.5838,94.669,94.669,94.7549,94.7549,94.8409,94.8409,94.8409,94.9269,95.0129,95.0129,95.0129,95.0129,95.0129,95.0129,95.0129,95.0989,95.0989,95.0989,95.0989,95.0989,95.0989,95.2709,95.2709,95.3568,95.3568,95.4428,95.4428,95.4428,95.5288,95.6148,95.6148,95.6148,95.7008,95.7008,95.7382,95.8727,95.8727,95.9329,95.9587,95.9587,95.9587,95.9587,95.9587,96.1307,96.1307,96.1307,96.1307,96.1307,96.2167,96.2167,96.2167,96.2167,96.2167,96.2167,96.2167,96.3027,96.3027,96.3887,96.3887,96.3887,96.3942,96.4746,96.4746,96.4746,96.4746,96.4746,96.4746,96.4746,96.4746,96.5606,96.6466,96.6466,96.6466,96.6466,96.7326,96.7326,96.7451,96.8186,96.9046,97.0765,97.0765,97.0765,97.0765,97.1625,97.1625,97.2433,97.3345,97.3345,97.3345,97.417,97.4205,97.4205,97.5064,97.5924,97.5924,97.5924,97.5924,97.5924,97.6784,97.6784,97.6784,97.6784,97.6784,97.6784,97.6784,97.7644,97.7644,97.7644,97.7644,97.7644,97.7644,97.7644,97.7923,97.8504,97.8504,97.8504,97.9364,97.9364,97.9364,97.9364,97.9364,98.0224,98.0224,98.0224,98.0224,98.1083,98.1083,98.1083,98.1943,98.2803,98.2803,98.2803,98.4028,98.4523,98.4523,98.4523,98.4523,98.4523,98.4523,98.5133,98.5383,98.5383,98.5383,98.6242,98.6242,98.6242,98.6242,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7102,98.7799,98.8448,98.8822,98.8822,98.8822,98.8822,98.8822,98.8822,98.8822,98.9682,98.9682,98.9781,99.0542,99.0542,99.0542,99.0542,99.0542,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.1402,99.2261,99.2261,99.3306,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.3981,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.4841,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.6561,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.742,99.828,99.828,99.828,99.828,99.828,99.8405,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,99.914,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -495,7 +670,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.57971,1.01739,1.52609,2.32464,2.89855,3.34203,4.14058,4.93913,5.21739,5.95652,6.46522,6.97391,7.77246,8.4058,9.07971,9.58841,10.1449,10.1449,10.8246,11.3333,11.8841,12.6406,13.1493,13.913,14.4565,14.9652,15.6522,16.2725,17.071,17.3913,18.0884,18.5971,19.1058,19.7101,20.413,21.2116,21.7203,22.029,22.6087,22.9565,23.4783,23.7681,24.058,24.7014,25.5,26.087,26.5174,27.0261,27.5362,27.5362,27.9725,28.771,29.5652,29.5652,29.8551,30.4348,30.4348,30.9536,31.4623,31.971,32.4638,32.9884,33.3333,33.3333,33.6449,34.2029,34.7826,35.171,35.942,36.2319,36.8116,37.1014,37.6812,37.9333,38.442,38.8406,39.4203,39.4203,40.187,40.6957,41.1594,41.713,41.9319,42.3188,42.6087,42.8986,43.387,44.1855,44.9841,45.5072,45.7971,46.087,46.3768,46.6623,46.9565,47.2464,47.2464,47.2464,47.4623,47.971,48.4058,48.6957,48.8065,48.9855,49.2754,49.2754,49.7928,50.5913,51.0145,51.3043,51.8275,52.1739,52.5551,52.7739,53.0435,53.7913,54.3,54.7826,55.0275,55.0725,55.7551,56.2319,56.2319,56.9913,57.2101,57.3913,57.3913,57.6812,57.7957,57.971,58.2609,58.5507,58.8406,59.1304,59.1304,59.1304,59.4203,59.7101,60,60,60.2899,60.2899,60.5797,60.7884,61.2971,61.4493,61.7348,61.7391,61.7391,61.7391,61.7391,61.7391,61.7391,61.7391,61.7391,62.029,62.029,62.3188,62.3188,62.3188,62.3993,62.6087,63.1884,63.4783,63.4783,63.8638,64.0826,64.6377,65.1,65.2174,65.5072,65.5072,65.7971,65.7971,65.7971,65.7971,65.9812,66.3768,66.3768,66.3768,66.6667,66.6667,67.0043,67.5362,68.0217,68.1159,68.1696,68.4058,68.4058,68.4058,68.4058,68.4058,68.6957,68.8319,68.9855,68.9855,68.9855,69.1275,69.5652,69.5652,69.5652,70.1449,70.5116,70.7246,70.7246,70.8783,71.5942,71.8841,72.1145,72.1739,72.2623,72.4812,72.7536,72.7536,72.7536,72.7536,72.9957,73.3333,73.3333,73.3333,73.3333,73.3333,73.729,73.913,74.1667,74.6754,74.7826,75.0725,75.0725,75.0725,75.0725,75.3623,75.3623,75.6522,75.6522,75.6522,75.9232,75.942,75.942,76,76.2319,76.2319,76.3667,76.5855,76.8116,77.0232,77.1014,77.4609,77.6812,77.971,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.5507,78.5507,78.5507,78.7913,78.8406,78.8406,79.1304,79.1304,79.7101,79.7101,79.7101,79.7101,79.8913,80,80.0391,80.2899,80.2899,80.2899,80.2899,80.2899,80.2899,80.2899,80.5797,80.5797,80.5797,80.8696,80.9261,81.4348,81.4493,81.4493,81.7391,81.7391,82.029,82.029,82.029,82.029,82.029,82.3188,82.3188,82.3188,82.3188,82.6087,82.6087,82.6087,82.6087,82.8986,82.9841,83.1884,83.4217,83.4783,83.4783,83.7681,84.058,84.2261,84.3478,84.3478,84.3478,84.5217,84.6377,84.6377,84.6377,84.8174,84.9275,84.9275,84.9275,85.2174,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.6391,85.7971,85.7971,86.087,86.087,86.087,86.087,86.3014,86.6667,86.6667,86.958,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.2464,87.413,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.8261,87.8261,87.8261,87.8261,87.8261,87.8261,87.8261,87.8261,87.8261,88.1696,88.4058,88.4058,88.4058,88.4058,88.6957,88.9855,89.1217,89.2754,89.2754,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.7957,90.1449,90.1449,90.1449,90.4348,90.4348,90.4348,90.4348,90.6768,90.7246,90.7246,90.7246,90.7246,90.9014,91.0145,91.0145,91.0145,91.0145,91.0145,91.0145,91.0145,91.3043,91.3043,91.3043,91.3043,91.3043,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.6812,91.8841,91.8841,91.8841,91.8841,91.8841,91.8841,91.8841,91.8841,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.1739,92.4638,92.4638,92.7536,92.7536,92.7536,92.7536,92.7536,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.0435,93.3333,93.6232,93.6232,93.6232,93.6232,93.6232,93.6232,93.6232,93.7913,93.913,93.913,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.7826,94.7826,94.8783,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.3623,95.3623,95.3623,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.9304,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,96.2188,96.5217,96.5217,96.5217,96.8116,96.8116,96.8116,96.8116,96.8116,96.8116,96.8116,96.887,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.3913,97.3913,97.3913,97.3913,97.3913,97.3913,97.3913,97.4957,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.6812,97.7435,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,98.1855,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,99.0957,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0.798551,1.5971,2.1058,2.6087,3.12319,3.76812,4.14058,4.93913,5.73768,6.53623,6.95652,7.26377,8.06232,8.69565,9.07971,9.29855,9.85507,10.6058,11.4043,12.2029,12.7536,13.3333,13.729,14.2029,14.2029,14.7826,15.1841,15.942,16.2014,16.7101,17.2188,17.7275,18.5261,19.1304,19.4203,20.0522,20.8507,21.3594,21.8681,22.6667,23.4652,23.9739,24.6377,24.9913,25.7899,26.087,26.5174,26.9565,27.2449,28.0435,28.5522,29.3507,29.8551,30.1449,30.4348,30.8058,31.6043,32.4029,32.7536,33.1304,33.929,34.2029,34.4928,34.8754,35.6739,35.942,35.942,35.942,36.2594,36.5217,36.987,37.2058,37.6812,37.6812,37.6812,37.7913,37.971,38.2609,38.7377,38.9565,39.4652,40,40.4826,41.2812,41.7391,42.029,42.2275,42.8986,43.2449,43.7536,43.9725,44.058,44.4101,44.6377,45.2174,45.7971,46.087,46.6638,46.6667,47.2464,47.3203,47.5391,47.8261,47.8261,48.4855,48.6957,49.213,49.7217,50.2304,50.4493,50.958,51.7565,51.9754,52.1942,52.4638,52.7536,52.8507,53.0696,53.5783,53.6232,53.913,53.913,54.4536,54.7826,55.1812,55.6899,55.942,55.942,56.6362,57.1014,57.3638,57.3913,57.5116,57.971,58.2609,58.2609,58.387,58.6058,58.8406,59.1304,59.4203,59.4203,59.4203,59.629,59.7101,60,60,60,60,60.3261,60.8696,60.8696,61.1594,61.5275,62.029,62.029,62.6087,63.1884,63.1884,63.1884,63.4783,63.5681,64.058,64.058,64.5145,64.6377,64.6377,64.8812,64.9275,65.2174,65.5072,65.5072,65.9754,66.087,66.3768,66.3768,66.3768,66.6667,66.9986,67.5072,67.8261,68.2348,68.7435,68.9855,69.2754,69.2754,69.2754,69.2754,69.7667,69.8551,69.8551,69.8551,69.8551,69.9913,70.1449,70.1449,70.1449,70.1449,70.1449,70.1449,70.3638,70.7246,70.7246,70.7246,70.7246,71.0145,71.0971,71.3159,71.5942,71.5942,71.5942,71.5942,71.5942,71.8841,71.8841,71.8841,71.8841,71.8841,71.9841,72.1739,72.1739,72.6406,72.7536,73.0435,73.4601,73.6232,73.6232,73.6638,73.913,73.913,73.913,74.2029,74.4681,74.7826,74.7826,74.7826,75.0536,75.0725,75.0725,75.0725,75.0725,75.0725,75.0725,75.1362,75.3623,75.6522,75.6522,75.6522,75.6522,75.8696,75.942,76.3072,76.5217,76.5217,76.5217,76.8928,77.3913,77.6812,77.6812,77.6812,77.6812,77.971,77.971,77.971,77.971,78.2362,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.2609,78.5507,78.5507,78.5507,78.5507,78.6667,78.8855,79.1304,79.4203,79.4203,79.4203,79.4203,79.4203,80,80.0565,80.2899,80.2899,80.2899,80.2899,80.5797,80.8696,81.1594,81.2275,81.4493,81.4493,81.4493,81.4493,81.4493,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,81.7391,82.029,82.029,82.029,82.029,82.029,82.029,82.029,82.4217,82.6406,82.8986,82.8986,83.0072,83.2261,83.4783,83.6638,84.058,84.3478,84.3478,84.3478,84.3478,84.3478,84.3478,84.3478,84.4739,84.6377,84.6377,84.6377,84.6377,84.6377,84.9275,84.9275,84.9275,85.2174,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.6565,85.7971,85.7971,85.7971,85.7971,85.8812,86.1,86.3768,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.9565,86.9565,86.9565,87.2464,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.5362,87.8261,87.8261,88.1159,88.3884,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.5594,88.6957,88.6957,88.6957,88.6957,88.9855,88.9855,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.2754,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.5652,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,89.8551,90.1377,90.1449,90.1449,90.1449,90.1449,90.1449,90.1449,90.1449,90.1449,90.4348,90.4348,90.7246,90.7246,90.7246,90.7246,90.7246,91.0145,91.0145,91.1783,91.3043,91.3043,91.3043,91.3043,91.3043,91.3319,91.5942,91.5942,91.5942,91.5942,91.5942,91.5942,91.8841,91.8841,92.142,92.1739,92.1739,92.1739,92.1739,92.1739,92.2957,92.4638,92.4638,92.4638,92.7536,92.7536,93.029,93.0435,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.6203,93.6232,93.913,93.913,93.913,93.913,93.913,93.9928,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.4928,94.4928,94.4928,94.4928,94.4928,94.4928,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,94.7826,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.0725,95.1855,95.3623,95.3623,95.3623,95.3623,95.4101,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.6522,95.942,95.942,95.942,95.942,95.942,95.942,95.942,95.942,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.2319,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.5217,96.8116,96.8116,96.8116,96.9159,97.1014,97.1014,97.1014,97.3913,97.3913,97.3913,97.3913,97.6812,97.6812,97.6812,97.6812,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.971,97.9855,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.2609,98.5507,98.5507,98.5507,98.5507,98.5507,98.6522,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,98.8406,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1304,99.1406,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.4203,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.7101,99.9014,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			}
@@ -521,9 +696,9 @@
 				"type": "Classifier",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
-				"accuracy": 0.628149,
-				"compression": 0.254932,
-				"auc": 0.821357
+				"accuracy": 0.622937,
+				"compression": 0.229309,
+				"auc": 0.820115
 			}
 		],
 		"predictorsDetailedPerformance": {
@@ -531,10 +706,10 @@
 				"confusionMatrix": {
 					"values": ["mixed","negative","objective","positive"],
 					"matrix": [
-						[0,0,0,0],
-						[105,268,75,61],
-						[42,72,391,24],
-						[17,18,14,64]
+						[1,0,0,1],
+						[105,255,71,55],
+						[36,64,388,20],
+						[22,39,21,73]
 					]
 				}
 			}
@@ -549,7 +724,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.701829,1.21951,1.21951,1.21951,1.67988,1.82927,2.43902,2.43902,2.43902,2.75,3.04878,3.04878,3.04878,3.11829,3.65854,3.65854,3.65854,4.09634,4.79817,4.87805,4.98232,5.4878,5.4878,5.4878,5.96037,6.09756,6.09756,6.23659,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.70732,6.85854,7.31707,7.65244,7.92683,8.44634,8.53659,8.53659,8.72256,9.14634,9.14634,9.60854,9.7561,10.3659,10.3659,10.5866,10.9756,10.9756,10.9756,10.9756,10.9756,10.9756,10.9756,11.3232,12.025,12.7268,12.8189,13.4146,13.6128,14.3146,14.6341,15.1085,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.2439,15.6957,15.8537,15.8537,15.8537,15.8537,15.8537,16.2482,16.4634,16.4634,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.0732,17.5372,18.239,18.9409,19.6427,20.122,20.122,20.5287,20.7317,21.3226,21.3415,21.3415,21.3415,21.6909,21.9512,21.9512,21.9671,22.561,22.561,22.561,22.561,22.561,22.561,22.561,22.561,22.561,22.561,22.9799,23.1707,23.7738,24.3902,24.3902,24.3902,24.3902,24.3902,24.936,25,25,25,25,25,25,25.5805,25.6098,25.7646,26.2195,26.2195,26.2195,26.2195,26.8293,26.8293,26.8293,26.8293,26.8293,26.8293,26.8293,26.8293,26.8293,27.0537,27.7555,28.0488,28.5494,28.6585,28.6585,28.6585,28.9177,29.6195,29.878,29.878,29.878,29.878,29.878,29.878,30.264,30.4878,30.4878,30.5402,31.0976,31.0976,31.0976,31.0976,31.0976,31.7024,31.7945,32.3171,32.3171,32.3171,32.3171,32.8646,32.9268,33.0488,33.5366,33.5366,33.9348,34.6366,34.7561,35.3659,35.5226,35.9756,35.9756,35.9756,35.9756,35.9756,35.9756,36.1671,36.5854,36.5854,36.5854,36.5854,36.5854,36.7195,37.1951,37.1951,37.1951,37.1951,37.7896,37.8049,37.8049,37.8049,38.1579,38.4146,38.9518,39.0244,39.136,39.6341,39.6341,40.022,40.2439,40.8159,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,41.4604,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4634,41.4726,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.0732,42.5201,42.6829,43.2927,43.2927,43.2927,43.2927,43.2927,43.2927,43.8665,44.5122,44.5122,44.5122,44.8445,45.122,45.122,45.122,45.2128,45.9146,46.3415,46.3415,46.3415,46.3415,46.375,47.0768,47.561,47.561,47.561,47.561,48.147,48.1707,48.1707,48.1707,48.5152,48.7805,48.7805,48.7805,48.7805,48.7805,48.7805,49.1598,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.6549,50,50,50,50,50,50,50,50.3915,51.0933,51.7951,51.8293,51.8293,52.0713,52.439,52.439,52.9573,53.6585,53.7512,54.2683,54.2683,54.2683,54.7293,54.878,54.878,54.878,54.878,54.878,54.878,54.878,54.878,54.9482,55.4878,55.4878,55.4878,55.4878,55.4878,56.0976,56.0976,56.0976,56.3866,57.0884,57.3171,57.3171,57.9268,57.9268,58.1585,58.5366,58.5366,58.5366,58.5366,58.5366,58.5366,58.5366,58.5366,58.5366,59.0793,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.9427,60.3659,60.3659,60.8287,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,60.9756,61.4159,61.5854,61.6,62.1951,62.1951,62.1951,62.578,63.0424,63.3933,63.4146,63.4146,63.6482,64.0244,64.0244,64.5341,65.236,65.328,65.8537,65.8537,65.8537,65.8537,65.8537,65.8537,65.8537,66.0646,66.4634,66.4634,66.4634,66.4634,66.4634,66.4634,66.4634,66.8012,67.503,67.6829,67.6829,67.6829,67.6829,67.9634,68.2927,68.7573,68.9024,68.9024,68.9024,68.9024,68.9024,69.3098,69.5122,69.5122,69.5122,69.5122,69.5122,69.5122,69.5122,69.5122,70.122,70.122,70.122,70.122,70.5067,71.2085,71.3415,71.3415,71.3415,71.3415,71.3415,71.3415,71.3415,71.3415,71.3415,71.3415,71.6116,71.9512,72.4055,72.561,72.561,72.561,72.561,72.561,72.561,73.05,73.1707,73.7805,73.7805,74.028,74.7299,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75.5933,75.6854,76.2195,76.2195,76.2195,76.2195,76.2195,76.2195,76.2195,76.2195,76.2195,76.6061,76.8293,76.8293,77.439,77.439,77.439,77.439,77.439,77.9524,78.0488,78.0488,78.0488,78.0488,78.0488,78.0488,78.597,78.6585,78.6585,78.8732,79.575,79.878,79.878,80.461,80.4878,80.4878,80.4878,80.4878,80.4878,80.4878,80.4878,80.4878,80.4878,80.772,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.0976,81.486,81.7073,82.2799,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.775,82.9268,82.9591,83.661,84.3628,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.95,85.3659,85.3659,85.3659,85.3659,85.3659,85.5024,85.9756,85.9756,85.9756,86.4805,86.5854,87.2744,87.8049,87.8049,87.8049,87.8049,87.8049,87.8049,87.8049,88.011,88.4146,88.4146,88.4146,88.4146,88.4146,88.4146,88.6555,89.0244,89.0244,89.0244,89.0244,89.1159,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,90.0366,90.2439,90.2439,90.2439,90.2439,90.2439,90.2439,90.2439,90.2439,90.8652,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,91.4634,92.0622,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.4427,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,92.6829,93.2488,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.2927,93.7787,93.9024,93.9024,93.9024,93.9024,94.239,94.5122,95.0329,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.2762,95.978,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.5445,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,97.4427,97.561,97.561,97.561,97.561,97.561,97.9951,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.3409,98.7805,99.1348,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.8384,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0,0,0.27622,0.609756,0.609756,1.1622,1.82927,1.82927,2.04817,2.43902,2.43902,2.43902,2.43902,2.50854,3.04878,3.04878,3.04878,3.04878,3.04878,3.04878,3.04878,3.04878,3.04878,3.04878,3.52134,3.65854,4.26829,4.26829,4.26829,4.59146,4.87805,5.38537,5.4878,5.4878,5.66159,6.09756,6.45549,6.70732,6.70732,6.70732,6.82378,7.31707,7.31707,7.70976,7.92683,7.92683,8.59573,9.29756,9.7561,10.0915,10.3659,10.3659,10.3659,10.3659,10.3659,10.3659,10.3659,10.3659,10.9201,10.9756,10.9756,11.1963,11.5854,11.5854,11.5854,12.1744,12.2665,12.8049,13.0604,13.7622,14.0244,14.0244,14.6341,14.6341,14.6341,14.6341,14.6341,14.6341,14.6341,14.6341,14.6341,14.8671,15.2439,15.2439,15.753,15.8537,16.4634,16.639,17.0732,17.0732,17.0732,17.0732,17.0732,17.1915,17.6829,17.6829,17.6829,17.6829,18.2616,18.3537,18.9024,19.1476,19.5122,19.5122,19.5122,20.1256,20.7317,20.9195,21.3415,21.3415,21.8055,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,21.9512,22.3006,22.561,22.561,22.5768,23.2787,23.7805,23.7805,23.7805,23.7805,23.7805,23.7805,23.9232,24.3902,24.3902,24.3902,24.3902,24.3902,24.4756,25,25,25,25.4537,25.6098,25.6098,25.6098,25.6098,25.6098,25.6098,25.6098,26.1902,26.2195,26.2195,26.2195,26.2195,26.2195,26.2195,26.2195,26.2195,26.2195,26.5012,26.8293,26.8293,27.3872,27.4793,28.1811,28.6585,28.6585,28.6585,28.6585,28.6585,28.7335,29.2683,29.2683,29.6195,29.878,29.878,29.878,29.9878,30.4878,30.7817,31.0976,31.0976,31.0976,31.0976,31.0976,31.3341,32.036,32.3171,32.3171,32.3171,32.4043,32.9268,32.9268,33.2902,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.5366,33.7854,34.4872,34.7561,35.2811,35.3659,35.3659,35.3659,35.3659,35.7415,35.9756,35.9756,35.9756,35.9756,35.9756,35.9756,35.9756,35.9756,35.9756,36.5854,36.5854,36.8463,37.1951,37.1951,37.7323,38.4146,38.4146,38.4146,38.4146,38.4146,38.4146,38.4146,38.4689,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.0244,39.5738,39.6659,40.2439,40.2439,40.2439,40.2439,40.2439,40.828,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,40.8537,41.0817,41.4634,41.4634,41.4634,42.0598,42.0732,42.0732,42.0732,42.0732,42.0732,42.6122,42.6829,42.6829,42.6829,42.6829,43.0726,43.2927,43.2927,43.2927,43.2927,43.2927,43.2927,43.2927,43.2927,43.2927,43.3835,43.9024,44.1774,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.5122,44.7073,45.4091,45.7317,46.203,46.3415,46.3872,46.9512,46.9512,47.2732,47.561,47.561,47.561,47.561,47.7335,48.1707,48.1707,48.1707,48.7116,48.7805,48.8957,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.3902,49.575,50.2768,50.9787,51.2195,51.2195,51.2549,51.8293,52.0488,52.439,52.439,52.439,52.439,52.5091,53.211,53.6585,54.0049,54.2683,54.2683,54.878,54.878,54.878,54.878,54.878,54.878,55.4433,55.5354,56.0976,56.0976,56.0976,56.0976,56.0976,56.6976,56.7073,56.7073,56.9738,57.3171,57.3171,57.3171,57.3171,57.4341,58.136,58.8378,59.1463,59.1463,59.7238,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.7561,59.8506,60.3659,60.3659,60.3659,60.3659,60.3659,60.9756,61.1049,61.5854,61.5854,61.5854,61.5854,61.5854,61.5854,61.5854,61.5854,61.5854,61.5854,62.1177,62.8049,62.8049,62.8049,62.8049,63.1878,63.4146,63.4146,63.4146,63.4146,63.4146,63.7402,64.0244,64.0244,64.0244,64.7183,65.2439,65.2439,65.2439,65.2439,65.7884,65.8537,65.8537,65.8537,65.8537,66.2488,66.4634,66.4634,67.0732,67.0732,67.0732,67.0732,67.0732,67.0732,67.3802,67.7793,68.4811,68.9024,69.275,69.5122,69.5122,69.5122,69.5122,69.7354,70.122,70.122,70.122,70.122,70.122,70.2878,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,70.7317,71.3415,71.3415,71.3415,71.3415,71.761,71.9512,71.9512,72.561,72.561,72.561,72.561,72.561,73.1073,73.7805,73.7805,73.7805,73.7805,73.7805,74.2695,74.3902,74.3902,74.3902,74.3902,74.3902,74.3902,74.3902,74.3963,75,75,75,75,75,75,75.6098,75.6098,75.6098,75.6098,76.0189,76.7207,77.4226,77.439,77.439,77.439,77.439,77.439,77.439,77.439,77.439,77.439,77.7335,78.4354,78.6585,78.6585,78.6585,78.6585,78.6585,78.6585,78.6585,78.6585,78.6585,79.2683,79.2683,79.2683,79.2683,79.2683,79.8165,79.878,80.0006,80.4878,80.4878,80.4878,80.4878,80.4878,80.553,81.0976,81.0976,81.439,82.1409,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.3171,82.8774,82.9268,82.9268,82.9268,82.9268,83.3378,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.5366,83.9598,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.1463,84.4549,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,84.7561,85.2262,85.3659,85.3659,85.3659,85.3659,85.3659,85.7787,85.9756,85.9756,85.9756,85.9756,86.239,86.9409,87.1951,87.7348,87.8049,87.8049,87.8049,87.8049,87.8049,88.2872,88.989,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6341,89.6683,90.2439,90.2439,90.2439,90.6463,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.8537,90.9,91.4634,91.4634,91.4634,91.878,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.0732,92.097,92.6829,92.6829,92.6829,93.075,93.2927,93.2927,93.2927,93.2927,93.5354,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,93.9024,94.2146,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.5122,94.8939,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.122,95.5159,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.7317,95.9433,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.3415,96.6695,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,96.9512,97.328,97.561,97.561,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.1707,98.5372,98.7805,98.7805,98.7805,98.9055,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.3902,99.7689,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -562,7 +737,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.321508,0.643017,0.964525,1.11732,1.32821,1.64972,1.97123,2.29274,2.61425,2.7933,2.7933,2.7933,2.7933,3.10447,3.35196,3.46816,3.78966,4.11117,4.43268,4.47486,4.79637,5.02793,5.16006,5.48156,5.58659,5.84525,6.16676,6.48827,6.80978,7.13128,7.45279,7.7743,8.09581,8.37989,8.37989,8.50168,8.82318,9.14469,9.21788,9.50838,9.82989,10.1514,10.4729,10.6145,10.8366,10.8939,11.1732,11.1732,11.1732,11.3268,11.6483,11.7318,11.7318,11.7749,12.0112,12.1385,12.2905,12.5022,12.8237,13.1453,13.4078,13.5089,13.6872,13.8726,13.9665,13.9665,14.2458,14.2458,14.3628,14.5251,14.7265,15.048,15.3696,15.6425,15.7332,16.0547,16.3763,16.6978,17.0193,17.0391,17.1036,17.3184,17.4673,17.5978,17.831,18.1525,18.1564,18.1564,18.2791,18.4358,18.6427,18.9642,19.2737,19.2737,19.3701,19.6916,19.8324,19.8324,20.0975,20.1397,20.3911,20.5034,20.6704,20.867,20.9497,21.2307,21.5522,21.8737,22.1953,22.5168,22.6257,22.6257,22.905,22.9648,23.1844,23.3285,23.4637,23.4637,23.7344,24.0559,24.3017,24.3017,24.4617,24.7832,24.8603,25.1397,25.1891,25.5106,25.8321,26.1536,26.4751,26.5363,26.5363,26.6017,26.8156,26.8156,26.8156,26.8156,27.0919,27.4134,27.7349,28.0564,28.3779,28.4916,28.7416,29.0503,29.1053,29.3296,29.469,29.7905,29.8883,30.1542,30.1964,30.5179,30.8394,31.0056,31.0056,31.2453,31.2874,31.5642,31.6511,31.8436,32.0148,32.1229,32.3785,32.7,33.0215,33.343,33.5196,33.5196,33.5196,33.5196,33.5539,33.8754,34.0782,34.0782,34.2813,34.6028,34.9162,34.9665,35.1955,35.1955,35.1955,35.4145,35.736,36.0575,36.3128,36.3128,36.4634,36.7849,36.8715,37.1486,37.4302,37.5123,37.7095,37.876,38.1975,38.519,38.8268,38.8827,39.2042,39.5257,39.8472,40.1687,40.4902,40.7821,40.7821,40.8961,41.0615,41.0615,41.0615,41.3441,41.6656,41.9872,42.3087,42.6302,42.9517,43.2732,43.5754,43.6369,43.9584,44.1341,44.3221,44.6436,44.6927,44.6927,44.6927,44.6927,44.8545,45.176,45.2514,45.5307,45.5818,45.9034,46.2249,46.3687,46.3687,46.3687,46.3687,46.4358,46.648,46.648,46.8416,46.9274,47.2053,47.486,47.486,47.486,47.6534,47.9749,48.2964,48.6034,48.6601,48.8827,49.0237,49.3453,49.4413,49.4413,49.4413,49.4413,49.4413,49.5983,49.7207,49.962,50.2835,50.605,50.9265,51.248,51.5696,51.676,51.676,51.676,51.7383,52.0598,52.3813,52.514,52.514,52.514,52.55,52.7933,52.9137,53.2352,53.352,53.352,53.6313,53.6832,53.9106,53.9106,54.0891,54.1899,54.1899,54.1899,54.1899,54.1899,54.3422,54.4693,54.4693,54.748,54.7486,54.7486,54.7486,54.7486,54.9589,55.2804,55.3073,55.3073,55.3073,55.3073,55.4913,55.8128,55.8659,55.8972,56.2187,56.4246,56.4246,56.6246,56.7039,56.9883,57.3098,57.5419,57.6735,57.8212,57.8212,58.0793,58.3799,58.443,58.7645,58.9385,59.1282,59.4497,59.7712,60.0927,60.3352,60.3352,60.4986,60.8201,61.1416,61.1732,61.226,61.5475,61.869,62.1905,62.512,62.8335,62.8757,63.1285,63.1285,63.1285,63.3237,63.4078,63.6872,63.6872,63.6872,63.814,64.1355,64.2458,64.2458,64.2458,64.3042,64.5251,64.6679,64.8045,65.0316,65.3531,65.6425,65.6425,65.6425,65.8011,65.9218,65.9218,65.9218,65.9218,66.012,66.2011,66.2011,66.2011,66.4601,66.7598,66.7598,66.8659,67.0391,67.0391,67.0391,67.314,67.6355,67.8771,67.8771,67.8771,67.8771,67.8771,68.1564,68.1564,68.1564,68.1564,68.3366,68.4358,68.4358,68.4358,68.4358,68.5475,68.7151,68.9112,68.9944,68.9955,69.317,69.6385,69.9601,70.1117,70.1117,70.3659,70.4081,70.6704,70.6704,70.6704,70.6704,70.6704,70.9405,70.9827,71.2291,71.3464,71.5084,71.5084,71.7522,72.067,72.1159,72.3464,72.4796,72.6257,72.6257,72.6257,72.9277,73.1844,73.2913,73.4637,73.655,73.743,73.743,73.7816,74.0223,74.0223,74.0223,74.2296,74.5511,74.581,74.581,74.581,74.581,74.762,75.0835,75.405,75.7265,76.048,76.3696,76.5363,76.5363,76.5363,76.8156,76.8156,76.8156,76.8156,76.8156,76.8156,76.8156,76.8156,76.8156,76.9179,77.095,77.095,77.095,77.3659,77.3743,77.3743,77.3743,77.3743,77.3743,77.619,77.6612,77.933,77.933,77.933,77.933,78.1514,78.2123,78.5151,78.7709,78.8788,79.0503,79.0503,79.2846,79.3296,79.369,79.6089,79.6089,79.7749,79.8883,80.1385,80.4469,80.4469,80.4469,80.5866,80.9081,81.0056,81.2718,81.5642,81.6355,81.8436,81.8436,81.8436,81.8436,81.8464,82.1229,82.1229,82.2522,82.5737,82.6816,82.6816,82.6816,82.6816,82.6816,82.8268,82.9609,82.9609,83.2327,83.5196,83.5196,83.6385,83.7989,83.7989,83.7989,84.0782,84.0782,84.0782,84.0782,84.2553,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3575,84.3715,84.6369,84.6369,84.6369,84.6369,84.6369,84.6369,84.6369,84.6369,84.6369,84.7933,84.9162,85.157,85.1955,85.2413,85.4749,85.605,85.7542,85.7542,85.7542,86.0335,86.0335,86.1374,86.3128,86.3128,86.3128,86.3128,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.5922,86.6173,86.8715,86.8715,86.8715,87.0654,87.1508,87.1508,87.1508,87.1508,87.1508,87.3184,87.6399,87.7095,87.9888,88.0458,88.2682,88.2682,88.2682,88.2682,88.536,88.5782,88.8268,88.8268,88.9841,89.1061,89.1061,89.1106,89.3855,89.3855,89.3855,89.3855,89.6008,89.6648,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,89.9441,90.0385,90.2235,90.2235,90.2235,90.4866,90.5028,90.5709,90.7821,90.7821,90.7821,90.7821,90.7821,91.0615,91.0615,91.0615,91.2299,91.3408,91.3408,91.6201,91.6201,91.6201,91.6201,91.8045,91.8994,91.8994,91.8994,91.8994,92.0154,92.1788,92.1788,92.1788,92.4581,92.5056,92.7374,92.7374,92.9115,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.2489,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2961,93.2966,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.8547,93.8547,93.9556,94.2771,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.5039,94.8254,94.9721,95.1891,95.2514,95.2514,95.2514,95.2514,95.2514,95.2514,95.4844,95.5307,95.5307,95.5307,95.6531,95.8101,95.8101,95.8101,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0908,96.3687,96.3687,96.3687,96.3687,96.3687,96.3687,96.3687,96.4282,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.7656,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,96.9274,97.2034,97.2067,97.2067,97.3299,97.6514,97.7654,97.7654,97.7779,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.2634,98.324,98.324,98.3899,98.6034,98.6034,98.6034,98.6034,98.8802,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.8827,98.912,99.162,99.162,99.162,99.162,99.162,99.4413,99.4413,99.4413,99.4413,99.4413,99.4413,99.4413,99.4603,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.9148,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0.321508,0.643017,0.964525,1.28603,1.60754,1.92905,1.97123,2.29274,2.61425,2.7933,2.7933,3.02011,3.34162,3.35196,3.42598,3.63128,3.63128,3.83184,4.15335,4.47486,4.79637,5.02793,5.16006,5.30726,5.52374,5.84525,6.16676,6.48827,6.80978,7.13128,7.45279,7.7743,8.09581,8.37989,8.37989,8.50168,8.82318,9.14469,9.21788,9.49721,9.49721,9.59274,9.77654,9.95642,10.2779,10.3352,10.3352,10.4045,10.726,11.0475,11.1732,11.4112,11.7327,12.0542,12.2905,12.2905,12.4601,12.5698,12.5698,12.8659,13.1874,13.5089,13.6872,13.6872,13.9148,14.2363,14.5578,14.8045,14.8045,14.8045,15.0059,15.3274,15.6489,15.9704,16.2919,16.6134,16.9349,17.2564,17.5779,17.5978,17.5978,17.5978,17.7466,17.8771,18.1103,18.4318,18.474,18.7955,18.9944,18.9944,18.9944,19.2436,19.5531,19.5531,19.6494,19.8324,20.0131,20.3346,20.3911,20.419,20.6704,20.7827,21.1042,21.2291,21.4679,21.7894,22.1109,22.3464,22.3464,22.3464,22.5589,22.8804,23.202,23.4637,23.4637,23.4637,23.65,23.743,23.743,24.0559,24.3017,24.3017,24.3017,24.5039,24.581,24.5883,24.9098,25.2313,25.5528,25.6983,25.6983,25.6983,26.0008,26.3223,26.6439,26.9654,27.095,27.3291,27.6506,27.9721,28.2936,28.4916,28.6573,28.9788,29.3003,29.3425,29.664,29.9855,30.1676,30.1676,30.3913,30.4469,30.7263,30.7263,30.8394,31.1609,31.2849,31.2849,31.5668,31.8436,31.8436,31.9726,32.1229,32.3363,32.6578,32.6816,32.7422,32.9609,32.9609,33.148,33.2402,33.2402,33.5196,33.5961,33.7989,33.7989,34.002,34.3235,34.645,34.9162,35.0087,35.3302,35.4749,35.6939,36.0154,36.3128,36.3128,36.3128,36.4634,36.7849,37.1064,37.4279,37.7095,37.7916,37.9888,38.1553,38.2682,38.519,38.8405,39.162,39.3855,39.5257,39.6648,39.6648,39.6648,39.6944,39.9441,39.9441,40.1003,40.2235,40.464,40.7821,40.8277,41.0615,41.1913,41.3408,41.555,41.8765,41.9187,42.1788,42.2824,42.6039,42.9254,43.2469,43.5684,43.6106,43.8547,43.9743,44.2958,44.4134,44.4134,44.4134,44.4134,44.5067,44.8282,44.9721,44.9721,45.2341,45.5556,45.8771,46.1986,46.5201,46.648,46.8838,47.2053,47.2067,47.2897,47.6112,47.9327,48.2542,48.324,48.3385,48.6034,48.7022,48.8827,48.8827,48.8827,48.8827,49.1925,49.514,49.7207,49.8777,50.1992,50.2793,50.5587,50.5587,50.6472,50.838,51.0109,51.3324,51.6539,51.9553,51.9553,52.0598,52.2346,52.4235,52.514,52.7872,53.1087,53.4302,53.7517,54.0732,54.3947,54.4693,54.4693,54.5212,54.7486,54.8849,55.2064,55.3073,55.5701,55.8916,56.2131,56.4246,56.4246,56.619,56.9405,57.262,57.5835,57.905,58.2265,58.548,58.8696,58.9385,59.2332,59.4972,59.4972,59.6391,59.9606,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.0559,60.2296,60.3352,60.5933,60.6145,60.6145,60.6145,60.6145,60.8042,60.8939,60.8939,61.1732,61.1732,61.1732,61.1732,61.1732,61.1732,61.1838,61.4525,61.4525,61.4525,61.6318,61.7318,61.9955,62.0112,62.0799,62.2905,62.4436,62.7651,62.8492,62.8492,62.8916,63.2131,63.5346,63.6872,63.6872,63.6872,63.6872,63.6872,63.7877,63.9665,64.1514,64.4729,64.7944,64.8366,65.0838,65.2003,65.5218,65.6425,65.6425,65.6425,65.6425,65.7327,66.0542,66.2011,66.2011,66.4601,66.4804,66.5444,66.7598,66.7598,66.7598,66.7598,67.0346,67.0391,67.119,67.3184,67.3184,67.5249,67.5978,67.5978,67.5978,67.6936,68.0151,68.1564,68.1564,68.1564,68.4631,68.7151,68.7151,68.869,69.1905,69.2737,69.5531,69.5531,69.5531,69.6807,69.8324,69.8324,69.8324,69.8324,69.8916,70.1117,70.1117,70.1117,70.1117,70.3818,70.7034,70.9497,70.9497,71.1092,71.2291,71.2291,71.5084,71.5084,71.5994,71.7877,71.7877,71.7877,71.7877,72.0897,72.3464,72.4534,72.6257,72.6257,72.8592,72.905,73.1844,73.1844,73.3073,73.4637,73.4637,73.7131,73.7553,74.0223,74.0223,74.1612,74.3017,74.3017,74.567,74.581,74.581,74.581,74.581,74.7779,74.8603,74.8603,74.8603,74.8603,74.9888,75.1397,75.1397,75.1397,75.1397,75.1397,75.1397,75.1397,75.3263,75.419,75.6899,75.6983,75.7743,75.9777,75.9777,75.9777,75.9777,76.257,76.257,76.257,76.3911,76.5363,76.5363,76.5363,76.5363,76.602,76.9235,77.245,77.5665,77.888,78.2095,78.2123,78.2123,78.2123,78.3782,78.4916,78.7419,79.0503,79.0503,79.0503,79.1899,79.5115,79.6089,79.6089,79.6089,79.6802,79.8883,79.8883,79.8883,79.8883,80.1704,80.4919,80.7263,80.7263,80.7263,80.7263,80.7263,81.0056,81.0056,81.0056,81.0056,81.193,81.2849,81.2849,81.2849,81.3617,81.6832,81.8436,81.8436,81.8436,82.1229,82.1229,82.1229,82.2578,82.5793,82.9008,82.9609,83.1127,83.3067,83.6282,83.7989,83.9919,84.0782,84.0782,84.1184,84.3575,84.3575,84.3575,84.3575,84.3575,84.3715,84.6369,84.6369,84.6369,84.8196,84.9162,84.9162,84.9162,84.9883,85.1955,85.352,85.4749,85.4749,85.7542,85.7542,85.7542,85.7542,85.7542,85.7542,85.7542,85.7542,85.7542,85.7542,85.9003,86.0335,86.0335,86.3061,86.3128,86.3128,86.3128,86.4749,86.7964,86.8715,86.8715,86.8715,86.8715,87.0073,87.1508,87.3709,87.4302,87.7095,87.7095,87.7095,87.7095,87.9034,88.2249,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.2682,88.4517,88.5475,88.5475,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.8268,88.9316,89.2531,89.5746,89.6648,89.9383,89.9441,89.9441,90.0648,90.2235,90.2235,90.2235,90.2235,90.2235,90.2235,90.2235,90.2235,90.2235,90.4866,90.5288,90.8503,91.0615,91.0615,91.0615,91.0615,91.0615,91.0615,91.0615,91.1877,91.3408,91.3408,91.5936,91.6201,91.6201,91.6201,91.6201,91.6201,91.8466,91.8994,91.8994,91.9732,92.1788,92.1788,92.1788,92.1788,92.1788,92.1788,92.1788,92.1788,92.1788,92.1788,92.4372,92.4793,92.8008,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.0168,93.1701,93.2961,93.2961,93.2961,93.2961,93.381,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.5754,93.7344,93.8547,94.098,94.1341,94.1341,94.1341,94.1341,94.1341,94.1341,94.1341,94.1341,94.1341,94.2405,94.4134,94.4134,94.4134,94.4134,94.4134,94.4134,94.5358,94.8573,94.9721,94.9721,94.9721,94.9721,95.0682,95.2514,95.4318,95.5307,95.5307,95.5307,95.5307,95.5307,95.5307,95.5307,95.5307,95.5307,95.5743,95.8101,95.8101,95.9802,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.0894,96.1648,96.3687,96.3687,96.3687,96.3687,96.3687,96.3687,96.3687,96.5022,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.648,96.8978,96.9399,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2067,97.2511,97.5726,97.7654,97.7654,97.9785,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0447,98.0788,98.324,98.324,98.324,98.324,98.324,98.324,98.324,98.324,98.324,98.5006,98.6034,98.6034,98.6034,98.6034,98.6034,98.6034,98.7958,99.1173,99.162,99.2017,99.4413,99.4413,99.4413,99.4413,99.4413,99.4413,99.4413,99.4413,99.5813,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.7207,99.8877,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -575,7 +750,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.239792,0.479583,0.719375,0.959167,1.19896,1.43875,1.67854,1.91833,2.15813,2.39792,2.63771,2.8775,3.11729,3.35708,3.59688,3.83667,4.07646,4.31625,4.55604,4.79583,5.03563,5.27542,5.51521,5.755,5.99479,6.23458,6.47438,6.66667,6.74563,6.98542,7.22521,7.465,7.70479,7.94458,8.18438,8.42417,8.66396,8.90375,9.14354,9.38333,9.62312,9.86292,10.1027,10.3425,10.5823,10.8221,11.0619,11.3017,11.4583,11.5729,11.8127,12.0525,12.2923,12.5321,12.7719,13.0117,13.2515,13.4913,13.731,13.9583,14.0023,14.2421,14.4819,14.7217,14.9615,15.2013,15.441,15.6808,15.9206,16.1604,16.4002,16.64,16.8798,17.1196,17.3594,17.5992,17.7083,17.8704,18.1102,18.35,18.5898,18.8296,19.0694,19.3092,19.549,19.7888,20.0285,20.2683,20.5081,20.7479,20.9877,21.2275,21.4673,21.7071,21.9469,22.1867,22.4265,22.6663,22.906,23.1458,23.3856,23.6254,23.8652,23.9583,24.1365,24.3762,24.616,24.8558,25.0956,25.3354,25.5752,25.815,25.8465,26.0862,26.326,26.5658,26.8056,26.875,27.0769,27.1083,27.3481,27.5879,27.7083,27.8592,28.099,28.3333,28.3702,28.5417,28.6415,28.8812,29.121,29.3608,29.6006,29.8404,30,30.1117,30.3515,30.5913,30.831,31.0708,31.3106,31.5504,31.7902,32.03,32.0833,32.3012,32.541,32.7808,33.0206,33.2604,33.5002,33.5417,33.7715,34.0112,34.251,34.375,34.5223,34.7621,35.0019,35.2417,35.4815,35.7213,35.961,36.2008,36.4406,36.6804,36.875,36.9517,37.1915,37.4313,37.671,37.9108,38.1506,38.3904,38.6302,38.75,38.9015,39.1412,39.381,39.6208,39.8606,40.1004,40.3402,40.58,40.625,40.8512,41.091,41.3308,41.5706,41.8104,42.0502,42.29,42.5298,42.7696,43.0094,43.2492,43.3333,43.3333,43.3435,43.5833,43.8231,44.0629,44.3027,44.5425,44.7823,45,45.0535,45.2933,45.5331,45.7729,46.0127,46.2525,46.4923,46.7321,46.9719,47.2117,47.4515,47.6913,47.931,48.1708,48.3333,48.4421,48.6819,48.9217,49.1615,49.1929,49.4327,49.6725,49.9123,50.1521,50.3919,50.625,50.625,50.6946,50.9344,51.1742,51.25,51.4454,51.6852,51.925,52.1648,52.4046,52.6444,52.7083,52.9156,52.9471,53.1869,53.3333,53.4581,53.6979,53.9377,54.1775,54.4173,54.5833,54.6885,54.9283,55.1681,55.4079,55.6477,55.8875,56.1273,56.25,56.3985,56.6383,56.875,56.9096,57.0833,57.1808,57.4206,57.6604,57.9002,58.14,58.3798,58.6196,58.75,58.75,58.75,58.9538,58.9852,59.225,59.4648,59.7046,59.7917,59.9758,60.2156,60.4554,60.625,60.7267,60.9665,61.0417,61.2377,61.4775,61.7173,61.9571,62.1969,62.4367,62.6765,62.9162,63.156,63.3958,63.6356,63.8754,64.1152,64.355,64.5948,64.8346,65,65.1058,65.3456,65.5854,65.8252,65.8333,65.8333,65.8333,65.951,66.1908,66.25,66.4621,66.7019,66.9417,67.0833,67.0833,67.0833,67.2758,67.5156,67.7554,67.9167,68.0267,68.125,68.125,68.125,68.3608,68.5417,68.6321,68.75,68.9033,68.9583,69.1746,69.4144,69.6542,69.7917,69.7917,69.9569,70.1967,70.4365,70.625,70.7077,70.8333,70.8333,71.0104,71.25,71.2817,71.5215,71.6667,71.7927,71.875,71.875,72.0954,72.2917,72.3667,72.5,72.5,72.5,72.7008,72.9406,73.1804,73.4202,73.5417,73.6915,73.9313,74.171,74.375,74.375,74.4737,74.7135,74.9533,75.1931,75.4167,75.4644,75.625,75.7356,75.9754,76.2152,76.455,76.4865,76.6667,76.7577,76.9975,77.0833,77.2688,77.5,77.5,77.5,77.5,77.5,77.5,77.5,77.5,77.5519,77.7917,77.9167,77.9167,78.0944,78.1258,78.3333,78.3333,78.4285,78.5417,78.5417,78.5417,78.75,78.75,78.75,78.75,78.75,78.75,78.75,78.75,78.806,79.0458,79.2856,79.5254,79.7652,79.7967,80.0365,80.2083,80.2083,80.2083,80.3706,80.4167,80.4167,80.4167,80.4167,80.4167,80.5594,80.7992,80.8333,80.8333,80.8935,81.0417,81.1648,81.25,81.25,81.25,81.2906,81.4583,81.4583,81.4583,81.6248,81.8646,81.875,81.9275,82.0833,82.1988,82.4385,82.5,82.7098,82.9167,82.9167,82.9167,82.9167,82.9167,82.9167,82.93,83.125,83.2012,83.3333,83.3333,83.3333,83.3333,83.3333,83.3333,83.3333,83.3333,83.4844,83.5417,83.5417,83.5417,83.5417,83.5417,83.5417,83.7046,83.75,83.75,83.75,83.75,83.75,83.75,83.75,83.9562,83.9583,83.9583,83.9583,84.0821,84.3219,84.5617,84.7917,84.7917,84.8644,85,85,85,85.1985,85.4383,85.625,85.625,85.625,85.7725,85.8333,85.8333,85.8669,86.1067,86.25,86.25,86.25,86.4408,86.4583,86.4583,86.5352,86.775,86.875,86.875,86.875,87.1092,87.2917,87.3804,87.5,87.5,87.6831,87.9229,88.125,88.125,88.125,88.2571,88.3333,88.3333,88.3333,88.3333,88.4144,88.5417,88.5417,88.5417,88.5417,88.5717,88.75,88.75,88.75,88.75,88.9373,88.9583,88.9583,88.9583,89.0631,89.3029,89.375,89.375,89.3973,89.5833,89.6685,89.7917,89.7917,89.7917,89.7917,89.8258,90,90,90.1285,90.2083,90.2083,90.4167,90.4167,90.4167,90.4167,90.4167,90.4167,90.4167,90.4431,90.625,90.625,90.7458,90.8333,90.8333,90.8333,90.8333,90.9031,91.0417,91.0417,91.0417,91.0417,91.0604,91.25,91.25,91.3631,91.6029,91.6667,91.6667,91.6973,91.875,91.875,91.875,91.875,91.875,92.0833,92.0833,92.0833,92.0833,92.0833,92.2517,92.2917,92.5,92.5,92.5,92.5,92.5,92.5,92.5,92.5348,92.7083,92.7083,92.8375,92.9167,92.9167,92.9319,93.125,93.125,93.125,93.125,93.125,93.125,93.125,93.125,93.215,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.4352,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.5417,93.6044,93.8442,93.9583,93.9583,93.9583,93.97,94.1667,94.1667,94.1667,94.1667,94.1667,94.3671,94.375,94.375,94.375,94.4929,94.5833,94.5833,94.5833,94.5833,94.5833,94.5833,94.5833,94.5833,94.776,94.8075,95,95.0788,95.3185,95.4167,95.4167,95.4167,95.625,95.625,95.625,95.625,95.625,95.81,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8771,96.0417,96.0417,96.0417,96.0417,96.0417,96.0417,96.0417,96.0417,96.0417,96.0417,96.2231,96.25,96.25,96.25,96.25,96.25,96.25,96.25,96.4583,96.4583,96.4583,96.4583,96.4583,96.6321,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.8565,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.875,96.9746,97.0833,97.2458,97.2917,97.2917,97.2917,97.3717,97.5,97.5,97.5,97.5,97.5,97.5,97.5,97.5,97.5,97.5,97.7083,97.7083,97.7083,97.7083,97.7083,97.7083,97.7083,97.9167,97.9694,98.125,98.125,98.125,98.125,98.125,98.125,98.1573,98.2772,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.4573,98.6971,98.75,98.75,98.75,98.75,98.75,98.8858,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,99.0277,99.2675,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.5079,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.5833,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.9958,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+						"values": [0,0.239792,0.479583,0.719375,0.959167,1.19896,1.43875,1.67854,1.91833,2.15813,2.39792,2.63771,2.8775,3.11729,3.35708,3.59688,3.83667,4.07646,4.31625,4.55604,4.79583,5.03563,5.27542,5.51521,5.755,5.99479,6.23458,6.47438,6.71417,6.95396,7.19375,7.43354,7.67333,7.70833,7.94458,8.18438,8.42417,8.66396,8.90375,9.14354,9.38333,9.62312,9.86292,10.1027,10.3425,10.5823,10.8221,11.0619,11.3017,11.5415,11.7813,12.021,12.2608,12.5006,12.7404,12.9802,13.22,13.4598,13.6996,13.75,13.9708,14.2106,14.4504,14.6902,14.7917,14.9615,15.2013,15.2327,15.4725,15.7123,15.9521,16.1919,16.4317,16.6715,16.9112,17.151,17.3908,17.6306,17.8704,18.1102,18.35,18.5898,18.8296,19.0694,19.3092,19.549,19.7888,20.0285,20.2683,20.5081,20.7479,20.9877,21.2275,21.4673,21.6667,21.7385,21.9783,22.2181,22.4579,22.6977,22.9375,23.1773,23.4171,23.6569,23.8967,24.1365,24.3762,24.616,24.7917,24.8873,25.1271,25.3669,25.6067,25.8333,25.8779,26.1177,26.3575,26.5973,26.8371,27.0769,27.3167,27.5565,27.7963,28.036,28.2758,28.5156,28.7554,28.9952,29.235,29.375,29.5063,29.5833,29.7775,30.0173,30.2571,30.4969,30.7367,30.9765,31.2163,31.25,31.4875,31.6667,31.7588,31.9985,32.2383,32.4781,32.7179,32.9577,33.1975,33.4373,33.6771,33.9169,34.1567,34.3965,34.6362,34.7917,34.9075,35.1473,35.3871,35.6269,35.8333,35.8333,35.9296,36.1694,36.4092,36.649,36.8887,37.1285,37.3683,37.6081,37.8479,38.0877,38.3275,38.5673,38.8071,39.0469,39.2867,39.5265,39.7662,40.006,40.2458,40.4856,40.625,40.625,40.7883,41.0281,41.2679,41.5077,41.6667,41.6667,41.8104,42.0502,42.29,42.5298,42.7696,43.0094,43.125,43.2806,43.5204,43.75,43.7917,44.0315,44.2713,44.511,44.7508,44.9906,45.0221,45.2619,45.5017,45.7415,45.9812,46.221,46.2525,46.4923,46.7321,46.9719,47.2117,47.2917,47.4829,47.7083,47.7542,47.994,48.2338,48.4735,48.7133,48.9531,49.1929,49.375,49.375,49.4956,49.5833,49.7669,50.0067,50.2465,50.4167,50.5177,50.625,50.789,51.0288,51.2685,51.5083,51.6667,51.7796,52.0194,52.2592,52.499,52.7388,52.9785,53.2183,53.4581,53.6979,53.9377,54.1775,54.4173,54.6571,54.8969,55.1367,55.3765,55.6163,55.856,56.0958,56.3356,56.5754,56.8152,57.055,57.2917,57.2917,57.3577,57.5975,57.8373,58.0771,58.3169,58.3333,58.3798,58.6196,58.8594,59.0992,59.339,59.5787,59.7917,59.85,60.0898,60.2083,60.361,60.6008,60.8406,61.0804,61.3202,61.56,61.7998,61.875,61.875,61.875,61.9256,62.1654,62.4052,62.645,62.8848,63.1246,63.3644,63.6042,63.844,64.0837,64.1667,64.1667,64.3865,64.5833,64.6577,64.8975,65.1373,65.3771,65.6169,65.8333,65.8881,66.1279,66.25,66.3992,66.4583,66.6667,66.7019,66.875,66.9731,67.2129,67.4527,67.5,67.724,67.9638,68.125,68.125,68.2665,68.3333,68.5377,68.7775,69.0173,69.2571,69.4969,69.7367,69.7917,69.7996,70.0394,70.2083,70.2083,70.2083,70.3735,70.6133,70.6448,70.8333,70.8333,70.9475,71.0417,71.0417,71.25,71.25,71.3131,71.5529,71.7927,72.0325,72.0833,72.0954,72.2917,72.3667,72.5,72.6379,72.8777,73.1175,73.3573,73.5971,73.8369,74.0767,74.1667,74.1667,74.171,74.4108,74.6506,74.7917,74.9219,75,75.1931,75.2083,75.2083,75.2875,75.4167,75.5588,75.625,75.83,75.8333,75.8333,75.8333,75.8333,75.8333,75.8333,76.0502,76.25,76.3215,76.5613,76.6667,76.8325,77.0723,77.1038,77.2917,77.375,77.5,77.5,77.5,77.5,77.5,77.5,77.5952,77.7083,77.8665,77.9167,77.9167,77.9608,78.125,78.2321,78.4719,78.5417,78.7431,78.75,78.75,78.75,78.75,78.75,78.75,78.75,78.75,78.8179,79.0577,79.2975,79.375,79.375,79.3919,79.6317,79.7917,79.7917,79.7917,79.7917,79.7917,79.8204,80,80,80,80.1546,80.2083,80.2175,80.4167,80.4887,80.7285,80.8333,80.8333,81.0313,81.0417,81.0942,81.25,81.25,81.3969,81.6367,81.6667,81.6667,81.6667,81.6667,81.794,82.0338,82.0833,82.0833,82.0833,82.1596,82.3994,82.5,82.6706,82.7083,82.7083,82.765,82.9167,83.0363,83.276,83.5158,83.75,83.75,83.75,83.75,83.8815,83.9583,83.9583,83.9583,84.0073,84.1667,84.1667,84.1667,84.1667,84.1667,84.196,84.375,84.4673,84.5833,84.7385,84.9783,85.2083,85.2083,85.2083,85.2083,85.344,85.5838,85.625,85.625,85.625,85.625,85.625,85.7725,85.8333,86.0438,86.25,86.25,86.25,86.25,86.4094,86.6492,86.6806,86.9204,87.1602,87.2917,87.2917,87.2917,87.4944,87.5,87.5573,87.7083,87.7083,87.7083,87.7083,87.7146,87.9544,88.125,88.2256,88.3333,88.4969,88.5417,88.75,88.75,88.831,88.9583,88.9583,89.1338,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.1667,89.375,89.375,89.4602,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.5833,89.7042,89.7917,89.9754,90,90.0383,90.2083,90.3096,90.4167,90.4167,90.6123,90.8521,91.0417,91.1233,91.25,91.25,91.25,91.25,91.25,91.25,91.25,91.25,91.25,91.4379,91.4583,91.4583,91.4583,91.4583,91.5952,91.6667,91.6667,91.6667,91.721,91.875,91.875,91.875,91.875,92.0833,92.1181,92.2917,92.3894,92.5,92.5,92.6921,92.7235,92.9167,92.9167,92.9167,93.0577,93.2975,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.4667,93.5417,93.7379,93.9583,94.0092,94.249,94.375,94.375,94.375,94.5831,94.5833,94.646,94.7917,94.7917,94.9488,95,95,95,95,95,95,95,95,95,95,95.0865,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.2083,95.3815,95.4167,95.4167,95.4758,95.625,95.625,95.625,95.81,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8333,95.8617,96.0417,96.0417,96.0417,96.1958,96.25,96.25,96.2902,96.4583,96.4583,96.4583,96.4583,96.4583,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.6667,96.8054,96.875,97.0767,97.0833,97.0833,97.0833,97.2025,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.2917,97.4346,97.6744,97.7083,97.7083,97.7688,97.9167,97.9167,97.9167,97.9167,97.9167,97.9167,97.9167,97.9167,98.0519,98.125,98.125,98.125,98.1777,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.3333,98.4923,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.5417,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.75,98.8544,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,98.9583,99.0004,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.1667,99.3702,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.375,99.5827,99.5833,99.5833,99.6771,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.7917,99.9644,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			},
@@ -588,7 +763,7 @@
 					},
 					{
 						"classifier": "Selective Naive Bayes",
-						"values": [0,0.101342,0.671141,0.975168,1.74765,2.52013,2.68456,3.39396,4.16644,4.93893,5.71141,6.48389,7.25638,7.38255,8.05369,8.05369,8.33289,9.10537,9.39597,9.97919,10.7517,11.5242,12.0805,12.398,13.1705,13.943,14.094,14.1456,14.9181,15.6906,16.1074,16.1074,16.1074,16.7671,17.4497,17.4497,17.7423,18.5148,18.7919,19.3886,19.4899,20.1342,20.3638,20.8054,20.8054,21.3389,21.4765,21.5416,22.3141,22.8188,22.8188,22.8188,22.8188,22.8208,23.5933,24.1611,24.4671,24.8322,25.3409,26.1134,26.8859,27.6584,28.1879,28.1879,28.1879,28.1879,28.1879,28.9376,29.5302,29.5302,29.5302,30.0141,30.7866,30.8879,31.6604,32.4329,32.8859,32.8859,33.4081,33.557,33.6107,34.2282,34.4846,34.8993,35.3584,35.5705,35.5705,35.6624,36.4349,37.2074,37.9799,38.255,38.255,38.955,39.7275,40.2685,40.2685,40.7027,40.9396,40.9396,41.6779,42.4503,42.953,43.3242,43.6242,44.198,44.2953,44.2953,44.2953,44.2953,44.7047,44.9664,45.5785,46.3087,46.3087,46.5537,47.3262,48.0987,48.3221,48.3221,48.3221,48.3221,48.6054,48.9933,48.9933,49.5805,50.3356,50.3356,50.3356,50.657,51.0067,51.0067,51.0067,51.0624,51.8349,52.6074,53.3799,53.6913,53.6913,54.355,55.0336,55.0336,55.0336,55.0336,55.5329,55.7047,56.3758,56.5081,57.047,57.3819,58.1544,58.9268,59.0604,59.0604,59.0604,59.0604,59.0604,59.5349,59.7315,59.7315,59.7315,59.7315,59.7315,59.7315,59.7315,59.7315,60.4027,60.4027,60.4027,60.751,61.5235,61.745,61.745,62.4161,62.4161,62.4161,62.4161,62.4161,62.4161,62.4356,63.0872,63.0872,63.0872,63.0872,63.0872,63.0872,63.7584,63.7584,63.7584,63.7584,64.2215,64.4295,64.4295,65.1007,65.1007,65.1007,65.1007,65.602,65.7718,65.7718,65.7718,66.0074,66.443,66.443,66.443,66.443,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.1141,67.6289,68.4013,68.4564,68.604,69.1275,69.4779,69.7987,70.3517,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.8336,71.1409,71.1409,71.1409,71.2389,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,71.8121,72.455,73.1544,73.1544,73.1544,73.5315,74.304,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,74.4966,75.0517,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.6349,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8758,76.5101,76.7497,77.1812,77.1812,77.1812,77.1812,77.1812,77.1812,77.1812,77.5604,77.8523,77.8523,77.8523,77.8523,77.8523,77.8523,78.2698,78.5235,78.5235,78.5235,78.5235,78.5235,78.5235,78.5235,78.5235,78.5235,78.6121,79.1946,79.1946,79.1946,79.1946,79.1946,79.8658,79.8658,79.8658,79.8658,80.2966,80.5369,80.5369,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.2081,81.7154,82.4879,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.9966,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.706,83.8926,83.8926,83.8926,83.8926,84.2128,84.5638,84.5638,84.5638,84.6181,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.2349,85.6698,85.906,85.906,85.906,85.906,85.906,85.906,85.906,85.906,85.9107,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,87.1268,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.9376,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.9262,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,89.9329,90.0926,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.8785,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.8919,91.9463,91.9463,91.9463,91.9463,92.3987,92.6174,92.6174,92.6174,92.6174,92.6174,92.6174,92.6174,92.6174,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.4389,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6953,95.4678,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,97.0034,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.9805,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,98.6577,98.7913,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.9617,100,100,100,100,100,100,100]
+						"values": [0,0.101342,0.873826,1.64631,2.41879,3.19128,3.96376,4.02685,4.16644,4.93893,5.36913,5.81275,6.58523,6.71141,6.78792,7.5604,8.33289,9.10537,9.39597,9.97919,10.7383,10.853,11.6255,12.398,13.1705,13.4228,13.4228,13.4745,14.247,15.0195,15.4362,15.4362,15.9946,16.7671,17.4497,17.6409,18.1208,18.5148,18.7919,19.3886,20.1342,20.2624,21.0349,21.8074,22.5799,23.3523,23.4899,23.4899,23.6564,24.4289,24.8322,25.3027,26.0752,26.1745,26.1745,26.3792,27.1517,27.5168,27.5168,27.5168,27.5168,27.6584,28.1879,28.1879,28.6336,29.406,30.1785,30.951,31.5436,31.5436,31.5436,31.5436,32.1289,32.2148,32.2148,32.2148,32.5342,33.3067,33.557,33.557,34.2819,35.0544,35.5705,35.5705,35.5705,36.1309,36.2416,36.9128,36.9128,37.2074,37.9799,38.255,38.255,38.255,38.3852,39.1577,39.9302,40.7027,41.4752,41.6107,41.6779,42.4503,43.2228,43.6242,44.0966,44.8691,44.9664,45.0718,45.8443,46.3087,46.3087,46.3087,46.9208,46.9799,47.1235,47.651,47.651,47.651,47.651,47.651,47.651,47.651,47.651,47.651,47.651,47.651,48.3221,48.3221,48.5423,48.9933,49.4161,49.6644,49.6644,50.3356,50.3356,50.3356,50.6953,51.4678,51.6779,51.6779,51.6779,51.6779,51.6779,51.6779,52.1772,52.9497,53.6913,53.6913,53.6913,53.6913,54.1275,54.3624,55.0013,55.0336,55.0336,55.0336,55.0336,55.5081,55.7047,55.7047,55.8121,56.3758,56.6859,57.047,57.5597,58.3322,58.3893,58.5349,59.0604,59.0604,59.5101,60.2826,60.4027,60.4852,61.0738,61.3591,61.745,61.745,61.745,61.745,61.8658,62.4161,62.4161,62.4161,62.4161,62.4161,62.4738,63.0872,63.0872,63.0872,63.0872,63.0872,63.753,63.8544,64.4295,64.4295,64.4295,64.4295,64.4295,64.4295,64.4295,64.4295,64.7664,65.5389,65.7718,65.7718,65.843,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.443,66.996,67.1141,67.7852,67.7852,67.7852,68.1738,68.4564,68.4564,68.4564,68.4564,68.4564,68.4564,68.4564,68.9846,69.757,69.7987,69.9597,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.4698,70.7074,71.1409,71.1409,71.6826,71.8121,71.8852,72.4832,72.4832,72.8604,73.1544,73.1544,73.1544,73.1544,73.1544,73.1544,73.5698,73.8255,73.8255,73.8738,74.6463,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.1678,75.5966,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,75.8389,76.5101,76.5101,76.5101,76.5101,76.5101,76.5101,76.5101,76.5101,76.5101,76.851,77.1812,77.1812,77.1812,77.2564,77.8523,77.8523,77.8523,77.8523,78.4342,78.5235,78.5235,78.5235,78.8396,79.1946,79.1946,79.1946,79.1946,79.1946,79.4477,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,79.8658,80.4993,80.5369,80.5369,80.5369,80.5369,80.5369,80.5369,80.5369,80.5369,80.5369,80.5369,80.943,81.2081,81.2081,81.2081,81.2081,81.4497,82.2221,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.5503,82.704,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.2215,83.8926,83.8926,83.8926,83.8926,83.8926,83.8926,83.8926,83.8926,83.8926,83.8926,84.2376,84.5638,84.5638,84.5638,84.5638,84.5638,84.8456,85.2349,85.2349,85.2349,85.2349,85.3523,85.906,85.906,85.906,85.906,85.906,85.906,85.906,85.906,85.906,86.3658,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,86.5772,87.0007,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.2483,87.6604,88.4329,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,88.5906,89.0792,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.2617,89.3966,89.9329,89.9329,89.9329,89.9329,89.9329,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.604,90.9302,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.2752,91.5899,91.9463,91.9463,91.9463,91.9953,92.7678,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.2886,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,93.9597,94.5174,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.6309,94.9993,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.302,95.6456,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,95.9732,96.4201,96.6443,96.6443,96.6443,96.6443,96.6443,96.6443,97.1295,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.3154,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,97.9866,98.4893,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,98.6577,99.1356,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.3289,99.7208,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 					}
 				]
 			}
@@ -619,7 +794,9 @@
 			"targetDescriptiveStats": {
 				"values": 4,
 				"mode": "objective",
-				"modeFrequency": 1163
+				"modeFrequency": 1163,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["mixed","negative","objective","positive"],
@@ -627,6 +804,7 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 0,
+			"selectedVariables": 0,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
 				"maxNumberOfTextFeatures": 1000,
@@ -651,6 +829,8 @@
 				"values": 2755,
 				"mode": "ID0002",
 				"modeFrequency": 1,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3
@@ -682,14 +862,17 @@
 			"targetDescriptiveStats": {
 				"values": 4,
 				"mode": "objective",
-				"modeFrequency": 1163
+				"modeFrequency": 1163,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["mixed","negative","objective","positive"],
 				"frequencies": [337,910,1163,345]
 			},
 			"evaluatedVariables": 1000,
-			"informativeVariables": 363
+			"informativeVariables": 363,
+			"selectedVariables": 79
 		},
 		"variablesStatistics": [
 			{
@@ -704,6 +887,7 @@
 				"mean": 0.4217785844,
 				"stdDev": 0.5147174387,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.5993,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -721,6 +905,7 @@
 				"mean": 0.4217785844,
 				"stdDev": 0.5147174387,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.6109,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -738,6 +923,7 @@
 				"mean": 0.4217785844,
 				"stdDev": 0.5147174387,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.6224,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -755,6 +941,7 @@
 				"mean": 0.4199637024,
 				"stdDev": 0.5080484695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.6337,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -772,6 +959,7 @@
 				"mean": 0.4199637024,
 				"stdDev": 0.5080484695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.645,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -789,6 +977,7 @@
 				"mean": 0.4199637024,
 				"stdDev": 0.5080484695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1616,
 				"constructionCost": 10.6562,
 				"preparationCost": 40.4344,
 				"dataCost": 2880.25,
@@ -806,6 +995,7 @@
 				"mean": 0.4145190563,
 				"stdDev": 0.4970399633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1619,
 				"constructionCost": 10.6783,
 				"preparationCost": 40.4321,
 				"dataCost": 2882.17,
@@ -823,6 +1013,7 @@
 				"mean": 0.4145190563,
 				"stdDev": 0.4970399633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1619,
 				"constructionCost": 10.6892,
 				"preparationCost": 40.4321,
 				"dataCost": 2882.17,
@@ -840,6 +1031,7 @@
 				"mean": 0.4145190563,
 				"stdDev": 0.4970399633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1619,
 				"constructionCost": 10.7001,
 				"preparationCost": 40.4321,
 				"dataCost": 2882.17,
@@ -857,6 +1049,7 @@
 				"mean": 1.736842105,
 				"stdDev": 2.302386557,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1581,
 				"constructionCost": 7.72128,
 				"preparationCost": 49.4654,
 				"dataCost": 2880.05,
@@ -874,6 +1067,7 @@
 				"mean": 0.4903811252,
 				"stdDev": 0.6411466305,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1610,
 				"constructionCost": 10.24,
 				"preparationCost": 40.439,
 				"dataCost": 2887.61,
@@ -891,6 +1085,7 @@
 				"mean": 0.4283121597,
 				"stdDev": 0.5177753795,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1601,
 				"constructionCost": 10.5639,
 				"preparationCost": 40.4456,
 				"dataCost": 2895.11,
@@ -908,6 +1103,7 @@
 				"mean": 0.7274047187,
 				"stdDev": 0.8743742266,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1414,
 				"constructionCost": 9.67765,
 				"preparationCost": 59.5345,
 				"dataCost": 2916.04,
@@ -925,6 +1121,7 @@
 				"mean": 0.3923774955,
 				"stdDev": 0.4985787159,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8135,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -942,6 +1139,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8234,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -959,6 +1157,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8331,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -976,6 +1175,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8428,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -993,6 +1193,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8525,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1010,6 +1211,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.862,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1027,6 +1229,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8715,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1044,6 +1247,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8809,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1061,6 +1265,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8903,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1078,6 +1283,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.8995,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1095,6 +1301,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.9087,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1112,6 +1319,7 @@
 				"mean": 0.3920145191,
 				"stdDev": 0.4977715565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1688,
 				"constructionCost": 10.9179,
 				"preparationCost": 40.3695,
 				"dataCost": 2938.72,
@@ -1129,6 +1337,7 @@
 				"mean": 0.3880217786,
 				"stdDev": 0.4910098186,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1691,
 				"constructionCost": 10.927,
 				"preparationCost": 40.3664,
 				"dataCost": 2940.39,
@@ -1146,6 +1355,7 @@
 				"mean": 0.3880217786,
 				"stdDev": 0.4910098186,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1691,
 				"constructionCost": 10.936,
 				"preparationCost": 40.3664,
 				"dataCost": 2940.39,
@@ -1163,6 +1373,7 @@
 				"mean": 0.3880217786,
 				"stdDev": 0.4910098186,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1691,
 				"constructionCost": 10.945,
 				"preparationCost": 40.3664,
 				"dataCost": 2940.39,
@@ -1180,6 +1391,7 @@
 				"mean": 0.4754990926,
 				"stdDev": 0.541254907,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1502,
 				"constructionCost": 10.3143,
 				"preparationCost": 40.5009,
 				"dataCost": 2983.7,
@@ -1197,6 +1409,7 @@
 				"mean": 0.6068965517,
 				"stdDev": 0.7460163935,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1440,
 				"constructionCost": 9.91211,
 				"preparationCost": 40.5193,
 				"dataCost": 2993.33,
@@ -1214,6 +1427,7 @@
 				"mean": 1.592014519,
 				"stdDev": 1.714190196,
 				"missingNumber": 0,
+				"sparseMissingNumber": 952,
 				"constructionCost": 7.81178,
 				"preparationCost": 42.5539,
 				"dataCost": 3183.87,
@@ -1231,6 +1445,7 @@
 				"mean": 0.2831215971,
 				"stdDev": 0.5276957939,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2069,
 				"constructionCost": 11.3865,
 				"preparationCost": 39.6573,
 				"dataCost": 3225.99,
@@ -1248,6 +1463,7 @@
 				"mean": 2.002903811,
 				"stdDev": 4.350687901,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1928,
 				"constructionCost": 7.52166,
 				"preparationCost": 40.0051,
 				"dataCost": 3260.19,
@@ -1265,6 +1481,7 @@
 				"mean": 15.87477314,
 				"stdDev": 5.494620261,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2,
 				"constructionCost": 2.4389,
 				"preparationCost": 79.1326,
 				"dataCost": 3238.68,
@@ -1282,6 +1499,7 @@
 				"mean": 0.5967332123,
 				"stdDev": 1.218873152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2081,
 				"constructionCost": 10.0065,
 				"preparationCost": 39.6218,
 				"dataCost": 3274.42,
@@ -1299,6 +1517,7 @@
 				"mean": 0.1183303085,
 				"stdDev": 0.4522275255,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2495,
 				"constructionCost": 12.6513,
 				"preparationCost": 37.3221,
 				"dataCost": 3276.07,
@@ -1316,6 +1535,7 @@
 				"mean": 0.1092558984,
 				"stdDev": 0.4444103231,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 12.7489,
 				"preparationCost": 37.0512,
 				"dataCost": 3288.21,
@@ -1333,6 +1553,7 @@
 				"mean": 0.1103448276,
 				"stdDev": 0.4510343718,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 12.7382,
 				"preparationCost": 37.0626,
 				"dataCost": 3289.79,
@@ -1350,6 +1571,7 @@
 				"mean": 1.434119782,
 				"stdDev": 1.407884557,
 				"missingNumber": 0,
+				"sparseMissingNumber": 758,
 				"constructionCost": 8.12632,
 				"preparationCost": 60.1209,
 				"dataCost": 3271.66,
@@ -1367,6 +1589,7 @@
 				"mean": 0.09473684211,
 				"stdDev": 0.3783015267,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2539,
 				"constructionCost": 12.9512,
 				"preparationCost": 36.823,
 				"dataCost": 3291.37,
@@ -1384,6 +1607,7 @@
 				"mean": 0.09473684211,
 				"stdDev": 0.3783015267,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2539,
 				"constructionCost": 12.953,
 				"preparationCost": 36.823,
 				"dataCost": 3291.37,
@@ -1401,6 +1625,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.4229031866,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 12.8355,
 				"preparationCost": 36.9457,
 				"dataCost": 3292.36,
@@ -1418,6 +1643,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.4229031866,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 12.8394,
 				"preparationCost": 36.9457,
 				"dataCost": 3292.36,
@@ -1435,6 +1661,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.4229031866,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 12.8414,
 				"preparationCost": 36.9457,
 				"dataCost": 3292.36,
@@ -1452,6 +1679,7 @@
 				"mean": 0.1034482759,
 				"stdDev": 0.4232435644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 12.8275,
 				"preparationCost": 36.9576,
 				"dataCost": 3294.05,
@@ -1469,6 +1697,7 @@
 				"mean": 0.1626134301,
 				"stdDev": 0.5661822295,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2436,
 				"constructionCost": 12.1689,
 				"preparationCost": 56.2774,
 				"dataCost": 3276.81,
@@ -1486,6 +1715,7 @@
 				"mean": 0.1056261343,
 				"stdDev": 0.3924250052,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2512,
 				"constructionCost": 12.7909,
 				"preparationCost": 37.1412,
 				"dataCost": 3296.5,
@@ -1503,6 +1733,7 @@
 				"mean": 0.1121597096,
 				"stdDev": 0.5281006097,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 12.7252,
 				"preparationCost": 37.0512,
 				"dataCost": 3303.7,
@@ -1520,6 +1751,7 @@
 				"mean": 0.0831215971,
 				"stdDev": 0.2786831585,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.1724,
 				"preparationCost": 36.9576,
 				"dataCost": 3303.77,
@@ -1537,6 +1769,7 @@
 				"mean": 0.1332123412,
 				"stdDev": 0.3419337933,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2390,
 				"constructionCost": 12.4727,
 				"preparationCost": 38.2043,
 				"dataCost": 3303.56,
@@ -1554,6 +1787,7 @@
 				"mean": 0.0834845735,
 				"stdDev": 0.2792253662,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2527,
 				"constructionCost": 13.1679,
 				"preparationCost": 36.9695,
 				"dataCost": 3305.11,
@@ -1571,6 +1805,7 @@
 				"mean": 0.08239564428,
 				"stdDev": 0.2775941421,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2530,
 				"constructionCost": 13.1815,
 				"preparationCost": 36.9337,
 				"dataCost": 3305.44,
@@ -1588,6 +1823,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.2941596272,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 13.0701,
 				"preparationCost": 37.074,
 				"dataCost": 3305.67,
@@ -1605,6 +1841,7 @@
 				"mean": 0.08166969147,
 				"stdDev": 0.2751830405,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2531,
 				"constructionCost": 13.1904,
 				"preparationCost": 36.9216,
 				"dataCost": 3306.28,
@@ -1622,6 +1859,7 @@
 				"mean": 0.08130671506,
 				"stdDev": 0.2746304535,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 13.1979,
 				"preparationCost": 36.9095,
 				"dataCost": 3307.11,
@@ -1639,6 +1877,7 @@
 				"mean": 0.08094373866,
 				"stdDev": 0.2740762716,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2533,
 				"constructionCost": 13.2038,
 				"preparationCost": 36.8973,
 				"dataCost": 3307.95,
@@ -1656,6 +1895,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2829786972,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 13.1152,
 				"preparationCost": 37.0512,
 				"dataCost": 3309.08,
@@ -1673,6 +1913,7 @@
 				"mean": 0.5607985481,
 				"stdDev": 1.446513581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2275,
 				"constructionCost": 10.1116,
 				"preparationCost": 38.8742,
 				"dataCost": 3311.4,
@@ -1690,6 +1931,7 @@
 				"mean": 0.1568058076,
 				"stdDev": 0.3961062256,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2351,
 				"constructionCost": 12.2157,
 				"preparationCost": 38.458,
 				"dataCost": 3312.05,
@@ -1707,6 +1949,7 @@
 				"mean": 6.333938294,
 				"stdDev": 3.888592688,
 				"missingNumber": 0,
+				"sparseMissingNumber": 55,
 				"constructionCost": 5.08575,
 				"preparationCost": 59.5035,
 				"dataCost": 3299.06,
@@ -1724,6 +1967,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.4170259298,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 12.92,
 				"preparationCost": 36.7333,
 				"dataCost": 3314.69,
@@ -1741,6 +1985,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.4170259298,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 12.9219,
 				"preparationCost": 36.7333,
 				"dataCost": 3314.69,
@@ -1758,6 +2003,7 @@
 				"mean": 0.08529945554,
 				"stdDev": 0.3579304437,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 13.1341,
 				"preparationCost": 36.5297,
 				"dataCost": 3315.32,
@@ -1775,6 +2021,7 @@
 				"mean": 0.08529945554,
 				"stdDev": 0.3579304437,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 13.1372,
 				"preparationCost": 36.5297,
 				"dataCost": 3315.32,
@@ -1792,6 +2039,7 @@
 				"mean": 0.1499092559,
 				"stdDev": 0.3610267056,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2346,
 				"constructionCost": 12.2639,
 				"preparationCost": 38.4883,
 				"dataCost": 3319.4,
@@ -1809,6 +2057,7 @@
 				"mean": 0.1517241379,
 				"stdDev": 0.3736217554,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2352,
 				"constructionCost": 12.2481,
 				"preparationCost": 38.4518,
 				"dataCost": 3320.3,
@@ -1826,6 +2075,7 @@
 				"mean": 0.1161524501,
 				"stdDev": 0.3619022218,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2471,
 				"constructionCost": 12.6651,
 				"preparationCost": 37.5561,
 				"dataCost": 3321.1,
@@ -1843,6 +2093,7 @@
 				"mean": 0.1542649728,
 				"stdDev": 0.5578795044,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2457,
 				"constructionCost": 12.2255,
 				"preparationCost": 56.0453,
 				"dataCost": 3303.56,
@@ -1860,6 +2111,7 @@
 				"mean": 0.2591651543,
 				"stdDev": 0.6840033962,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2289,
 				"constructionCost": 11.4898,
 				"preparationCost": 38.8042,
 				"dataCost": 3322.73,
@@ -1877,6 +2129,7 @@
 				"mean": 0.1441016334,
 				"stdDev": 0.3542798485,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2361,
 				"constructionCost": 12.3285,
 				"preparationCost": 38.3959,
 				"dataCost": 3323.09,
@@ -1894,6 +2147,7 @@
 				"mean": 0.1441016334,
 				"stdDev": 0.3542798485,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2361,
 				"constructionCost": 12.3315,
 				"preparationCost": 38.3959,
 				"dataCost": 3323.09,
@@ -1911,6 +2165,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2974533517,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2588,
 				"constructionCost": 13.3713,
 				"preparationCost": 36.1165,
 				"dataCost": 3325.82,
@@ -1928,6 +2183,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2974533517,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2588,
 				"constructionCost": 13.3764,
 				"preparationCost": 36.1165,
 				"dataCost": 3325.82,
@@ -1945,6 +2201,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2974533517,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2588,
 				"constructionCost": 13.3777,
 				"preparationCost": 36.1165,
 				"dataCost": 3325.82,
@@ -1962,6 +2219,7 @@
 				"mean": 0.1705989111,
 				"stdDev": 0.4233727305,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2333,
 				"constructionCost": 12.0988,
 				"preparationCost": 38.5651,
 				"dataCost": 3324.66,
@@ -1979,6 +2237,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.2876995053,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2511,
 				"constructionCost": 13.0536,
 				"preparationCost": 37.1523,
 				"dataCost": 3326.94,
@@ -1996,6 +2255,7 @@
 				"mean": 0.1328493648,
 				"stdDev": 0.3404796086,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2390,
 				"constructionCost": 12.478,
 				"preparationCost": 38.2043,
 				"dataCost": 3329.38,
@@ -2013,6 +2273,7 @@
 				"mean": 0.1328493648,
 				"stdDev": 0.3404796086,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2390,
 				"constructionCost": 12.4807,
 				"preparationCost": 38.2043,
 				"dataCost": 3329.38,
@@ -2030,6 +2291,7 @@
 				"mean": 0.1328493648,
 				"stdDev": 0.3404796086,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2390,
 				"constructionCost": 12.4833,
 				"preparationCost": 38.2043,
 				"dataCost": 3329.38,
@@ -2047,6 +2309,7 @@
 				"mean": 0.1328493648,
 				"stdDev": 0.3404796086,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2390,
 				"constructionCost": 12.4859,
 				"preparationCost": 38.2043,
 				"dataCost": 3329.38,
@@ -2064,6 +2327,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.347971152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 12.4097,
 				"preparationCost": 38.2857,
 				"dataCost": 3329.74,
@@ -2081,6 +2345,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.347971152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 12.4125,
 				"preparationCost": 38.2857,
 				"dataCost": 3329.74,
@@ -2098,6 +2363,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.347971152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 12.4153,
 				"preparationCost": 38.2857,
 				"dataCost": 3329.74,
@@ -2115,6 +2381,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.347971152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 12.4181,
 				"preparationCost": 38.2857,
 				"dataCost": 3329.74,
@@ -2132,6 +2399,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.347971152,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 12.4209,
 				"preparationCost": 38.2857,
 				"dataCost": 3329.74,
@@ -2149,6 +2417,7 @@
 				"mean": 0.2769509982,
 				"stdDev": 0.6968131732,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2376,
 				"constructionCost": 11.4239,
 				"preparationCost": 38.299,
 				"dataCost": 3330.79,
@@ -2166,6 +2435,7 @@
 				"mean": 3.020326679,
 				"stdDev": 2.193279763,
 				"missingNumber": 0,
+				"sparseMissingNumber": 218,
 				"constructionCost": 7.07179,
 				"preparationCost": 77.0588,
 				"dataCost": 3296.62,
@@ -2183,6 +2453,7 @@
 				"mean": 0.1382940109,
 				"stdDev": 0.3483484403,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2377,
 				"constructionCost": 12.4013,
 				"preparationCost": 38.2924,
 				"dataCost": 3330.27,
@@ -2200,6 +2471,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.4237,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2217,6 +2489,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.4265,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2234,6 +2507,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.4292,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2251,6 +2525,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.432,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2268,6 +2543,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.4347,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2285,6 +2561,7 @@
 				"mean": 0.1372050817,
 				"stdDev": 0.3472142072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2380,
 				"constructionCost": 12.4375,
 				"preparationCost": 38.2724,
 				"dataCost": 3331.05,
@@ -2302,6 +2579,7 @@
 				"mean": 0.1034482759,
 				"stdDev": 0.3252904559,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2486,
 				"constructionCost": 12.8235,
 				"preparationCost": 37.4126,
 				"dataCost": 3332.34,
@@ -2319,6 +2597,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.2995446163,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2584,
 				"constructionCost": 13.3454,
 				"preparationCost": 36.182,
 				"dataCost": 3333.74,
@@ -2336,6 +2615,7 @@
 				"mean": 0.07295825771,
 				"stdDev": 0.2628445472,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 13.3013,
 				"preparationCost": 36.5994,
 				"dataCost": 3335.26,
@@ -2353,6 +2633,7 @@
 				"mean": 0.1705989111,
 				"stdDev": 0.4147106711,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2320,
 				"constructionCost": 12.0952,
 				"preparationCost": 38.6389,
 				"dataCost": 3334.52,
@@ -2370,6 +2651,7 @@
 				"mean": 0.2813067151,
 				"stdDev": 0.8799000306,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2373,
 				"constructionCost": 11.3928,
 				"preparationCost": 38.3188,
 				"dataCost": 3336.55,
@@ -2387,6 +2669,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5477,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2404,6 +2687,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5502,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2421,6 +2705,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5528,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2438,6 +2723,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5553,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2455,6 +2741,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5577,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2472,6 +2759,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3328883518,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.5602,
 				"preparationCost": 38.0686,
 				"dataCost": 3337.19,
@@ -2489,6 +2777,7 @@
 				"mean": 0.1255898367,
 				"stdDev": 0.3812987247,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2455,
 				"constructionCost": 12.5652,
 				"preparationCost": 37.6999,
 				"dataCost": 3337.63,
@@ -2506,6 +2795,7 @@
 				"mean": 0.6424682396,
 				"stdDev": 0.9042812501,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1569,
 				"constructionCost": 9.85211,
 				"preparationCost": 58.9382,
 				"dataCost": 3320.74,
@@ -2523,6 +2813,7 @@
 				"mean": 0.0780399274,
 				"stdDev": 0.3154931125,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 13.2343,
 				"preparationCost": 36.3542,
 				"dataCost": 3340.78,
@@ -2540,6 +2831,7 @@
 				"mean": 0.08094373866,
 				"stdDev": 0.3193400331,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2565,
 				"constructionCost": 13.1993,
 				"preparationCost": 36.4725,
 				"dataCost": 3341.16,
@@ -2557,6 +2849,7 @@
 				"mean": 0.08275862069,
 				"stdDev": 0.3261895914,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 13.174,
 				"preparationCost": 36.4869,
 				"dataCost": 3341.74,
@@ -2574,6 +2867,7 @@
 				"mean": 0.09147005445,
 				"stdDev": 0.3042049805,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2514,
 				"constructionCost": 13.0129,
 				"preparationCost": 37.119,
 				"dataCost": 3342.55,
@@ -2591,6 +2885,7 @@
 				"mean": 1.503811252,
 				"stdDev": 1.283810964,
 				"missingNumber": 0,
+				"sparseMissingNumber": 653,
 				"constructionCost": 7.97754,
 				"preparationCost": 59.1921,
 				"dataCost": 3325.55,
@@ -2608,6 +2903,7 @@
 				"mean": 0.4453720508,
 				"stdDev": 0.6721119553,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1768,
 				"constructionCost": 10.4901,
 				"preparationCost": 40.2749,
 				"dataCost": 3342.26,
@@ -2625,6 +2921,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3090560263,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2492,
 				"constructionCost": 12.9013,
 				"preparationCost": 37.3527,
 				"dataCost": 3342.84,
@@ -2642,6 +2939,7 @@
 				"mean": 0.5154264973,
 				"stdDev": 0.7720372498,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1708,
 				"constructionCost": 10.1774,
 				"preparationCost": 60.728,
 				"dataCost": 3322.4,
@@ -2659,6 +2957,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.2976216186,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2517,
 				"constructionCost": 13.0552,
 				"preparationCost": 37.0853,
 				"dataCost": 3344.67,
@@ -2676,6 +2975,7 @@
 				"mean": 0.2511796733,
 				"stdDev": 0.6917149487,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2284,
 				"constructionCost": 11.5413,
 				"preparationCost": 38.8295,
 				"dataCost": 3344.87,
@@ -2693,6 +2993,7 @@
 				"mean": 1.206896552,
 				"stdDev": 1.167942793,
 				"missingNumber": 0,
+				"sparseMissingNumber": 897,
 				"constructionCost": 8.55148,
 				"preparationCost": 60.2052,
 				"dataCost": 3328.05,
@@ -2710,6 +3011,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.2888854402,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 13.0864,
 				"preparationCost": 37.0626,
 				"dataCost": 3347.76,
@@ -2727,6 +3029,7 @@
 				"mean": 0.813430127,
 				"stdDev": 1.005629,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1349,
 				"constructionCost": 9.39389,
 				"preparationCost": 40.5242,
 				"dataCost": 3348.65,
@@ -2744,6 +3047,7 @@
 				"mean": 0.1647912886,
 				"stdDev": 0.5137615296,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2438,
 				"constructionCost": 12.1586,
 				"preparationCost": 37.8434,
 				"dataCost": 3349.22,
@@ -2761,6 +3065,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2815971804,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 13.1465,
 				"preparationCost": 36.9814,
 				"dataCost": 3349.29,
@@ -2778,6 +3083,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2815971804,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 13.1496,
 				"preparationCost": 36.9814,
 				"dataCost": 3349.29,
@@ -2795,6 +3101,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2815971804,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 13.1527,
 				"preparationCost": 36.9814,
 				"dataCost": 3349.29,
@@ -2812,6 +3119,7 @@
 				"mean": 0.1782214156,
 				"stdDev": 0.5694883509,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2448,
 				"constructionCost": 12.0322,
 				"preparationCost": 37.7601,
 				"dataCost": 3350.98,
@@ -2829,6 +3137,7 @@
 				"mean": 0.7480943739,
 				"stdDev": 0.89992488,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1346,
 				"constructionCost": 9.60595,
 				"preparationCost": 59.472,
 				"dataCost": 3331.78,
@@ -2846,6 +3155,7 @@
 				"mean": 11.86569873,
 				"stdDev": 6.06397558,
 				"missingNumber": 0,
+				"sparseMissingNumber": 15,
 				"constructionCost": 3.13205,
 				"preparationCost": 77.689,
 				"dataCost": 3321.12,
@@ -2863,6 +3173,7 @@
 				"mean": 0.2834845735,
 				"stdDev": 0.4966671309,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2029,
 				"constructionCost": 11.3801,
 				"preparationCost": 39.7683,
 				"dataCost": 3351.03,
@@ -2880,6 +3191,7 @@
 				"mean": 0.8148820327,
 				"stdDev": 1.172521108,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1468,
 				"constructionCost": 9.3353,
 				"preparationCost": 40.5125,
 				"dataCost": 3352.68,
@@ -2897,6 +3209,7 @@
 				"mean": 0.6123411978,
 				"stdDev": 0.8400113212,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1551,
 				"constructionCost": 9.89241,
 				"preparationCost": 40.4776,
 				"dataCost": 3353.15,
@@ -2914,6 +3227,7 @@
 				"mean": 0.6900181488,
 				"stdDev": 1.663232754,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1928,
 				"constructionCost": 9.78931,
 				"preparationCost": 60.3654,
 				"dataCost": 3333.73,
@@ -2931,6 +3245,7 @@
 				"mean": 0.3099818512,
 				"stdDev": 0.5453234605,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2008,
 				"constructionCost": 11.2671,
 				"preparationCost": 39.8225,
 				"dataCost": 3352.84,
@@ -2948,6 +3263,7 @@
 				"mean": 0.1299455535,
 				"stdDev": 0.440045985,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 12.5043,
 				"preparationCost": 37.4027,
 				"dataCost": 3355.35,
@@ -2965,6 +3281,7 @@
 				"mean": 0.2765880218,
 				"stdDev": 0.6430530422,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2204,
 				"constructionCost": 11.43,
 				"preparationCost": 39.1915,
 				"dataCost": 3354.88,
@@ -2982,6 +3299,7 @@
 				"mean": 0.2119782214,
 				"stdDev": 0.656726944,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2426,
 				"constructionCost": 11.776,
 				"preparationCost": 37.9394,
 				"dataCost": 3356.63,
@@ -2999,6 +3317,7 @@
 				"mean": 0.2588021779,
 				"stdDev": 0.4684120168,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2079,
 				"constructionCost": 11.5014,
 				"preparationCost": 39.6278,
 				"dataCost": 3355.39,
@@ -3016,6 +3335,7 @@
 				"mean": 0.568784029,
 				"stdDev": 1.181790979,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1875,
 				"constructionCost": 10.0601,
 				"preparationCost": 40.1074,
 				"dataCost": 3356.56,
@@ -3033,6 +3353,7 @@
 				"mean": 0.2551724138,
 				"stdDev": 0.4665250904,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2089,
 				"constructionCost": 11.5243,
 				"preparationCost": 39.5976,
 				"dataCost": 3356.54,
@@ -3050,6 +3371,7 @@
 				"mean": 0.3150635209,
 				"stdDev": 0.5191522001,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1957,
 				"constructionCost": 11.2531,
 				"preparationCost": 39.943,
 				"dataCost": 3356.48,
@@ -3067,6 +3389,7 @@
 				"mean": 0.1393829401,
 				"stdDev": 0.4947920977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2502,
 				"constructionCost": 12.3813,
 				"preparationCost": 37.2493,
 				"dataCost": 3358.78,
@@ -3084,6 +3407,7 @@
 				"mean": 0.1411978221,
 				"stdDev": 0.4968408536,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2497,
 				"constructionCost": 12.3581,
 				"preparationCost": 37.3015,
 				"dataCost": 3358.95,
@@ -3101,6 +3425,7 @@
 				"mean": 0.1800362976,
 				"stdDev": 0.5537209543,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2422,
 				"constructionCost": 12.0208,
 				"preparationCost": 37.9705,
 				"dataCost": 3358.75,
@@ -3118,6 +3443,7 @@
 				"mean": 0.1303085299,
 				"stdDev": 0.3685549541,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 12.5017,
 				"preparationCost": 37.9316,
 				"dataCost": 3358.6,
@@ -3135,6 +3461,7 @@
 				"mean": 0.1368421053,
 				"stdDev": 0.3817100344,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2416,
 				"constructionCost": 12.4402,
 				"preparationCost": 38.0163,
 				"dataCost": 3358.63,
@@ -3152,6 +3479,7 @@
 				"mean": 0.07295825771,
 				"stdDev": 0.2614599456,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2555,
 				"constructionCost": 13.3027,
 				"preparationCost": 36.6131,
 				"dataCost": 3360.05,
@@ -3169,6 +3497,7 @@
 				"mean": 0.1444646098,
 				"stdDev": 0.5071192206,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2492,
 				"constructionCost": 12.3225,
 				"preparationCost": 37.3527,
 				"dataCost": 3360.4,
@@ -3186,6 +3515,7 @@
 				"mean": 0.7952813067,
 				"stdDev": 1.332347608,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1607,
 				"constructionCost": 9.45008,
 				"preparationCost": 40.4412,
 				"dataCost": 3360.21,
@@ -3203,6 +3533,7 @@
 				"mean": 0.4166969147,
 				"stdDev": 0.675640972,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1836,
 				"constructionCost": 10.6673,
 				"preparationCost": 40.1743,
 				"dataCost": 3359.26,
@@ -3210,7 +3541,7 @@
 			},
 			{
 				"rank": "R0149",
-				"name": "TXT.1gram(\u20AC)",
+				"name": "TXT.1gram({80})",
 				"type": "Numerical",
 				"level": 0.0106858,
 				"parts": 2,
@@ -3220,6 +3551,7 @@
 				"mean": 0.1647912886,
 				"stdDev": 0.5256349561,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2445,
 				"constructionCost": 12.1552,
 				"preparationCost": 37.7854,
 				"dataCost": 3360.2,
@@ -3237,6 +3569,7 @@
 				"mean": 0.1379310345,
 				"stdDev": 0.4012621679,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 12.4069,
 				"preparationCost": 37.9316,
 				"dataCost": 3360.4,
@@ -3254,6 +3587,7 @@
 				"mean": 0.1230490018,
 				"stdDev": 0.3361392787,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2423,
 				"constructionCost": 12.5946,
 				"preparationCost": 37.9628,
 				"dataCost": 3360.54,
@@ -3261,7 +3595,7 @@
 			},
 			{
 				"rank": "R0152",
-				"name": "TXT.2gram(\u00E2\u20AC)",
+				"name": "TXT.2gram({E280})",
 				"type": "Numerical",
 				"level": 0.0101799,
 				"parts": 2,
@@ -3271,6 +3605,7 @@
 				"mean": 0.157168784,
 				"stdDev": 0.5199978768,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2465,
 				"constructionCost": 12.2124,
 				"preparationCost": 37.6111,
 				"dataCost": 3362.06,
@@ -3288,6 +3623,7 @@
 				"mean": 0.7201451906,
 				"stdDev": 0.9724390616,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1467,
 				"constructionCost": 9.72343,
 				"preparationCost": 40.5128,
 				"dataCost": 3361.74,
@@ -3305,6 +3641,7 @@
 				"mean": 0.3771324864,
 				"stdDev": 0.6430302995,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1926,
 				"constructionCost": 10.9802,
 				"preparationCost": 40.0092,
 				"dataCost": 3361.37,
@@ -3322,6 +3659,7 @@
 				"mean": 0.1183303085,
 				"stdDev": 0.3241206557,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2430,
 				"constructionCost": 12.6536,
 				"preparationCost": 37.9079,
 				"dataCost": 3362.56,
@@ -3339,6 +3677,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.2649842128,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2549,
 				"constructionCost": 13.2683,
 				"preparationCost": 36.6939,
 				"dataCost": 3364.11,
@@ -3356,6 +3695,7 @@
 				"mean": 0.1745916515,
 				"stdDev": 0.5718824317,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2406,
 				"constructionCost": 12.0548,
 				"preparationCost": 38.0906,
 				"dataCost": 3363.96,
@@ -3373,6 +3713,7 @@
 				"mean": 0.1404718693,
 				"stdDev": 0.3657959457,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2386,
 				"constructionCost": 12.364,
 				"preparationCost": 38.2318,
 				"dataCost": 3363.89,
@@ -3390,6 +3731,7 @@
 				"mean": 0.2856624319,
 				"stdDev": 0.7568642124,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2238,
 				"constructionCost": 11.3673,
 				"preparationCost": 39.047,
 				"dataCost": 3364.22,
@@ -3407,6 +3749,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2917269177,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2534,
 				"constructionCost": 13.1434,
 				"preparationCost": 36.8851,
 				"dataCost": 3364.97,
@@ -3414,7 +3757,7 @@
 			},
 			{
 				"rank": "R0161",
-				"name": "TXT.1gram(\u00E2)",
+				"name": "TXT.1gram({E2})",
 				"type": "Numerical",
 				"level": 0.00923199,
 				"parts": 2,
@@ -3424,6 +3767,7 @@
 				"mean": 0.1611615245,
 				"stdDev": 0.523995637,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2456,
 				"constructionCost": 12.1824,
 				"preparationCost": 37.6912,
 				"dataCost": 3365.28,
@@ -3441,6 +3785,7 @@
 				"mean": 0.3702359347,
 				"stdDev": 0.6371326839,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1939,
 				"constructionCost": 11.006,
 				"preparationCost": 39.982,
 				"dataCost": 3364.49,
@@ -3458,6 +3803,7 @@
 				"mean": 0.3005444646,
 				"stdDev": 0.7337221279,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2213,
 				"constructionCost": 11.3014,
 				"preparationCost": 39.1544,
 				"dataCost": 3365.62,
@@ -3475,6 +3821,7 @@
 				"mean": 0.1147005445,
 				"stdDev": 0.319797252,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2440,
 				"constructionCost": 12.6832,
 				"preparationCost": 37.827,
 				"dataCost": 3365.82,
@@ -3492,6 +3839,7 @@
 				"mean": 7.55862069,
 				"stdDev": 4.320519679,
 				"missingNumber": 0,
+				"sparseMissingNumber": 27,
 				"constructionCost": 3.99807,
 				"preparationCost": 78.2936,
 				"dataCost": 3334.22,
@@ -3509,6 +3857,7 @@
 				"mean": 0.1941923775,
 				"stdDev": 0.5590720462,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2358,
 				"constructionCost": 11.9169,
 				"preparationCost": 38.4147,
 				"dataCost": 3366.96,
@@ -3516,7 +3865,7 @@
 			},
 			{
 				"rank": "R0167",
-				"name": "TXT.1gram(\u2122)",
+				"name": "TXT.1gram({99})",
 				"type": "Numerical",
 				"level": 0.00841876,
 				"parts": 2,
@@ -3526,6 +3875,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.4296904827,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 12.6966,
 				"preparationCost": 36.9095,
 				"dataCost": 3368.35,
@@ -3533,7 +3883,7 @@
 			},
 			{
 				"rank": "R0168",
-				"name": "TXT.2gram(\u20AC\u2122)",
+				"name": "TXT.2gram({8099})",
 				"type": "Numerical",
 				"level": 0.00841747,
 				"parts": 2,
@@ -3543,6 +3893,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.4296904827,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 12.7011,
 				"preparationCost": 36.9095,
 				"dataCost": 3368.35,
@@ -3560,6 +3911,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.4296904827,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 12.7055,
 				"preparationCost": 36.9095,
 				"dataCost": 3368.35,
@@ -3567,7 +3919,7 @@
 			},
 			{
 				"rank": "R0170",
-				"name": "TXT.1gram(\u00C2)",
+				"name": "TXT.1gram({C2})",
 				"type": "Numerical",
 				"level": 0.00840395,
 				"parts": 2,
@@ -3577,6 +3929,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.4395963487,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2635,
 				"constructionCost": 13.0635,
 				"preparationCost": 35.1928,
 				"dataCost": 3369.75,
@@ -3594,6 +3947,7 @@
 				"mean": 0.1931034483,
 				"stdDev": 0.4972771471,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2308,
 				"constructionCost": 11.9293,
 				"preparationCost": 38.7046,
 				"dataCost": 3367.52,
@@ -3611,6 +3965,7 @@
 				"mean": 0.1226860254,
 				"stdDev": 0.3368112039,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2425,
 				"constructionCost": 12.5994,
 				"preparationCost": 37.9472,
 				"dataCost": 3367.84,
@@ -3628,6 +3983,7 @@
 				"mean": 0.1949183303,
 				"stdDev": 0.459751711,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2288,
 				"constructionCost": 11.9085,
 				"preparationCost": 38.8093,
 				"dataCost": 3367.91,
@@ -3645,6 +4001,7 @@
 				"mean": 0.07695099819,
 				"stdDev": 0.2849436461,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 13.2471,
 				"preparationCost": 36.5856,
 				"dataCost": 3368.98,
@@ -3662,6 +4019,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.2792876431,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 13.2808,
 				"preparationCost": 36.4869,
 				"dataCost": 3369.26,
@@ -3679,6 +4037,7 @@
 				"mean": 6.075499093,
 				"stdDev": 3.728747214,
 				"missingNumber": 0,
+				"sparseMissingNumber": 75,
 				"constructionCost": 5.49529,
 				"preparationCost": 40.5249,
 				"dataCost": 3373.4,
@@ -3696,6 +4055,7 @@
 				"mean": 0.8802177858,
 				"stdDev": 1.106074938,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1327,
 				"constructionCost": 9.14285,
 				"preparationCost": 40.5214,
 				"dataCost": 3369.8,
@@ -3713,6 +4073,7 @@
 				"mean": 2.271506352,
 				"stdDev": 1.894390731,
 				"missingNumber": 0,
+				"sparseMissingNumber": 506,
 				"constructionCost": 7.41076,
 				"preparationCost": 59.9315,
 				"dataCost": 3352.16,
@@ -3730,6 +4091,7 @@
 				"mean": 0.2225045372,
 				"stdDev": 0.4852094497,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2219,
 				"constructionCost": 11.7237,
 				"preparationCost": 39.1293,
 				"dataCost": 3369.73,
@@ -3747,6 +4109,7 @@
 				"mean": 0.07114337568,
 				"stdDev": 0.2951857506,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2585,
 				"constructionCost": 13.3401,
 				"preparationCost": 36.1658,
 				"dataCost": 3371.2,
@@ -3764,6 +4127,7 @@
 				"mean": 0.2453720508,
 				"stdDev": 0.5091284655,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2170,
 				"constructionCost": 11.5853,
 				"preparationCost": 39.3239,
 				"dataCost": 3369.97,
@@ -3781,6 +4145,7 @@
 				"mean": 0.3676950998,
 				"stdDev": 0.6490324682,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1949,
 				"constructionCost": 11.0229,
 				"preparationCost": 39.9606,
 				"dataCost": 3369.98,
@@ -3798,6 +4163,7 @@
 				"mean": 0.132123412,
 				"stdDev": 0.4819451957,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2502,
 				"constructionCost": 12.4886,
 				"preparationCost": 37.2493,
 				"dataCost": 3371.82,
@@ -3815,6 +4181,7 @@
 				"mean": 0.2555353902,
 				"stdDev": 0.5541799865,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2186,
 				"constructionCost": 11.5186,
 				"preparationCost": 39.263,
 				"dataCost": 3370.84,
@@ -3832,6 +4199,7 @@
 				"mean": 0.1277676951,
 				"stdDev": 0.3709142926,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2436,
 				"constructionCost": 12.5326,
 				"preparationCost": 37.8597,
 				"dataCost": 3371.65,
@@ -3849,6 +4217,7 @@
 				"mean": 0.08166969147,
 				"stdDev": 0.2817010292,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2536,
 				"constructionCost": 13.1875,
 				"preparationCost": 36.8604,
 				"dataCost": 3372.18,
@@ -3866,6 +4235,7 @@
 				"mean": 0.1023593466,
 				"stdDev": 0.3891144324,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2540,
 				"constructionCost": 12.8513,
 				"preparationCost": 36.8104,
 				"dataCost": 3372.62,
@@ -3883,6 +4253,7 @@
 				"mean": 5.949546279,
 				"stdDev": 3.661046578,
 				"missingNumber": 0,
+				"sparseMissingNumber": 52,
 				"constructionCost": 6.07752,
 				"preparationCost": 61.7413,
 				"dataCost": 3354.88,
@@ -3900,6 +4271,7 @@
 				"mean": 0.077676951,
 				"stdDev": 0.2703611435,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 13.2386,
 				"preparationCost": 36.7721,
 				"dataCost": 3372.8,
@@ -3917,6 +4289,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2667503709,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2576,
 				"constructionCost": 13.3929,
 				"preparationCost": 36.3083,
 				"dataCost": 3373.33,
@@ -3934,6 +4307,7 @@
 				"mean": 0.07041742287,
 				"stdDev": 0.2710060707,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2572,
 				"constructionCost": 13.3545,
 				"preparationCost": 36.3693,
 				"dataCost": 3373.53,
@@ -3951,6 +4325,7 @@
 				"mean": 0.1255898367,
 				"stdDev": 0.3706794255,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2444,
 				"constructionCost": 12.5627,
 				"preparationCost": 37.7938,
 				"dataCost": 3372.94,
@@ -3968,6 +4343,7 @@
 				"mean": 0.1390199637,
 				"stdDev": 0.3856572648,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2409,
 				"constructionCost": 12.3899,
 				"preparationCost": 38.0686,
 				"dataCost": 3372.85,
@@ -3985,6 +4361,7 @@
 				"mean": 6.055172414,
 				"stdDev": 3.619748906,
 				"missingNumber": 0,
+				"sparseMissingNumber": 57,
 				"constructionCost": 5.8153,
 				"preparationCost": 61.2641,
 				"dataCost": 3356.62,
@@ -4002,6 +4379,7 @@
 				"mean": 0.07005444646,
 				"stdDev": 0.2704298466,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 13.3584,
 				"preparationCost": 36.3542,
 				"dataCost": 3374.12,
@@ -4019,6 +4397,7 @@
 				"mean": 0.07005444646,
 				"stdDev": 0.2704298466,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 13.3597,
 				"preparationCost": 36.3542,
 				"dataCost": 3374.12,
@@ -4036,6 +4415,7 @@
 				"mean": 0.1230490018,
 				"stdDev": 0.3641295657,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2447,
 				"constructionCost": 12.597,
 				"preparationCost": 37.7686,
 				"dataCost": 3373.69,
@@ -4053,6 +4433,7 @@
 				"mean": 0.2290381125,
 				"stdDev": 0.61513782,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2303,
 				"constructionCost": 11.6792,
 				"preparationCost": 38.7314,
 				"dataCost": 3375.33,
@@ -4070,6 +4451,7 @@
 				"mean": 0.1760435572,
 				"stdDev": 0.4498916485,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2336,
 				"constructionCost": 12.0473,
 				"preparationCost": 38.5476,
 				"dataCost": 3375.64,
@@ -4087,6 +4469,7 @@
 				"mean": 4.974591652,
 				"stdDev": 3.261290394,
 				"missingNumber": 0,
+				"sparseMissingNumber": 109,
 				"constructionCost": 6.49132,
 				"preparationCost": 61.6618,
 				"dataCost": 3358.14,
@@ -4104,6 +4487,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.4010529585,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 12.9144,
 				"preparationCost": 36.7333,
 				"dataCost": 3376.77,
@@ -4121,6 +4505,7 @@
 				"mean": 0.09364791289,
 				"stdDev": 0.3819136258,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2558,
 				"constructionCost": 12.9691,
 				"preparationCost": 36.5718,
 				"dataCost": 3376.95,
@@ -4138,6 +4523,7 @@
 				"mean": 0.0722323049,
 				"stdDev": 0.268507856,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2563,
 				"constructionCost": 13.3189,
 				"preparationCost": 36.5013,
 				"dataCost": 3376.87,
@@ -4155,6 +4541,7 @@
 				"mean": 0.2217785844,
 				"stdDev": 0.5870635916,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2282,
 				"constructionCost": 11.7286,
 				"preparationCost": 38.8396,
 				"dataCost": 3376.24,
@@ -4172,6 +4559,7 @@
 				"mean": 0.2961887477,
 				"stdDev": 0.5691111234,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2076,
 				"constructionCost": 11.3348,
 				"preparationCost": 39.6367,
 				"dataCost": 3375.84,
@@ -4189,6 +4577,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 13.3295,
 				"preparationCost": 36.4869,
 				"dataCost": 3377.47,
@@ -4206,6 +4595,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 13.3335,
 				"preparationCost": 36.4869,
 				"dataCost": 3377.47,
@@ -4223,6 +4613,7 @@
 				"mean": 0.5248638838,
 				"stdDev": 0.7537075509,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1651,
 				"constructionCost": 10.1612,
 				"preparationCost": 40.4051,
 				"dataCost": 3376.98,
@@ -4240,6 +4631,7 @@
 				"mean": 0.1197822142,
 				"stdDev": 0.444556456,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2522,
 				"constructionCost": 12.6303,
 				"preparationCost": 37.0281,
 				"dataCost": 3377.96,
@@ -4257,6 +4649,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.2757249635,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 13.2697,
 				"preparationCost": 36.5856,
 				"dataCost": 3377.84,
@@ -4274,6 +4667,7 @@
 				"mean": 0.2123411978,
 				"stdDev": 0.5563624402,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2321,
 				"constructionCost": 11.7713,
 				"preparationCost": 38.6333,
 				"dataCost": 3378.25,
@@ -4291,6 +4685,7 @@
 				"mean": 0.341923775,
 				"stdDev": 0.7388389882,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2083,
 				"constructionCost": 11.1278,
 				"preparationCost": 58.5884,
 				"dataCost": 3359.6,
@@ -4308,6 +4703,7 @@
 				"mean": 3.945553539,
 				"stdDev": 2.354578737,
 				"missingNumber": 0,
+				"sparseMissingNumber": 105,
 				"constructionCost": 6.81138,
 				"preparationCost": 59.8981,
 				"dataCost": 3362.68,
@@ -4325,6 +4721,7 @@
 				"mean": 0.1001814882,
 				"stdDev": 0.3868763217,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2551,
 				"constructionCost": 12.8823,
 				"preparationCost": 36.6673,
 				"dataCost": 3379.9,
@@ -4342,6 +4739,7 @@
 				"mean": 0.07368421053,
 				"stdDev": 0.3048561026,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2584,
 				"constructionCost": 13.2918,
 				"preparationCost": 36.182,
 				"dataCost": 3380.41,
@@ -4359,6 +4757,7 @@
 				"mean": 0.1735027223,
 				"stdDev": 0.438221823,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2339,
 				"constructionCost": 12.0696,
 				"preparationCost": 38.53,
 				"dataCost": 3379.4,
@@ -4376,6 +4775,7 @@
 				"mean": 0.1099818512,
 				"stdDev": 0.4930277946,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2575,
 				"constructionCost": 12.7404,
 				"preparationCost": 36.3237,
 				"dataCost": 3381.12,
@@ -4393,6 +4793,7 @@
 				"mean": 0.0831215971,
 				"stdDev": 0.3164946129,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 13.1709,
 				"preparationCost": 36.5994,
 				"dataCost": 3380.85,
@@ -4410,6 +4811,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.3019584124,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2593,
 				"constructionCost": 13.348,
 				"preparationCost": 36.0322,
 				"dataCost": 3381.81,
@@ -4427,6 +4829,7 @@
 				"mean": 0.1702359347,
 				"stdDev": 0.4265079351,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2337,
 				"constructionCost": 12.106,
 				"preparationCost": 38.5418,
 				"dataCost": 3380.78,
@@ -4444,6 +4847,7 @@
 				"mean": 0.1887477314,
 				"stdDev": 0.4563928561,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2302,
 				"constructionCost": 11.9619,
 				"preparationCost": 38.7367,
 				"dataCost": 3380.8,
@@ -4461,6 +4865,7 @@
 				"mean": 0.1477313975,
 				"stdDev": 0.4348157384,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 12.2796,
 				"preparationCost": 37.9316,
 				"dataCost": 3381.6,
@@ -4478,6 +4883,7 @@
 				"mean": 0.1074410163,
 				"stdDev": 0.3398502174,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2484,
 				"constructionCost": 12.7701,
 				"preparationCost": 37.4323,
 				"dataCost": 3381.71,
@@ -4495,6 +4901,7 @@
 				"mean": 6.450453721,
 				"stdDev": 3.768528909,
 				"missingNumber": 0,
+				"sparseMissingNumber": 41,
 				"constructionCost": 4.51834,
 				"preparationCost": 61.617,
 				"dataCost": 3366.01,
@@ -4512,6 +4919,7 @@
 				"mean": 5.12522686,
 				"stdDev": 3.247771635,
 				"missingNumber": 0,
+				"sparseMissingNumber": 58,
 				"constructionCost": 6.29933,
 				"preparationCost": 61.5546,
 				"dataCost": 3364.37,
@@ -4529,6 +4937,7 @@
 				"mean": 0.08820326679,
 				"stdDev": 0.324200318,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 13.0766,
 				"preparationCost": 36.7721,
 				"dataCost": 3382.59,
@@ -4546,6 +4955,7 @@
 				"mean": 0.2177858439,
 				"stdDev": 0.531862629,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2282,
 				"constructionCost": 11.7572,
 				"preparationCost": 38.8396,
 				"dataCost": 3382.01,
@@ -4563,6 +4973,7 @@
 				"mean": 0.1448275862,
 				"stdDev": 0.3729578603,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2377,
 				"constructionCost": 12.3195,
 				"preparationCost": 38.2924,
 				"dataCost": 3382.59,
@@ -4580,6 +4991,7 @@
 				"mean": 0.5655172414,
 				"stdDev": 0.8008444132,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1628,
 				"constructionCost": 10.0947,
 				"preparationCost": 40.4248,
 				"dataCost": 3382.81,
@@ -4597,6 +5009,7 @@
 				"mean": 0.1589836661,
 				"stdDev": 0.4140741555,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2362,
 				"constructionCost": 12.1958,
 				"preparationCost": 38.3896,
 				"dataCost": 3382.81,
@@ -4614,6 +5027,7 @@
 				"mean": 4.818874773,
 				"stdDev": 2.834747995,
 				"missingNumber": 0,
+				"sparseMissingNumber": 93,
 				"constructionCost": 6.66042,
 				"preparationCost": 41.9973,
 				"dataCost": 3384.82,
@@ -4631,6 +5045,7 @@
 				"mean": 0.07876588022,
 				"stdDev": 0.308328321,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 13.2285,
 				"preparationCost": 36.458,
 				"dataCost": 3383.92,
@@ -4648,6 +5063,7 @@
 				"mean": 0.4392014519,
 				"stdDev": 0.7660126669,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1867,
 				"constructionCost": 10.5151,
 				"preparationCost": 40.1217,
 				"dataCost": 3383.03,
@@ -4665,6 +5081,7 @@
 				"mean": 0.1869328494,
 				"stdDev": 0.4280244504,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2276,
 				"constructionCost": 11.9897,
 				"preparationCost": 38.8693,
 				"dataCost": 3382.88,
@@ -4682,6 +5099,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.3194390358,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2506,
 				"constructionCost": 12.9237,
 				"preparationCost": 37.2066,
 				"dataCost": 3383.99,
@@ -4699,6 +5117,7 @@
 				"mean": 0.07150635209,
 				"stdDev": 0.3135843068,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2597,
 				"constructionCost": 13.3388,
 				"preparationCost": 35.9627,
 				"dataCost": 3385.33,
@@ -4716,6 +5135,7 @@
 				"mean": 0.2646098004,
 				"stdDev": 0.5772767458,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2168,
 				"constructionCost": 11.4662,
 				"preparationCost": 39.3313,
 				"dataCost": 3383.93,
@@ -4733,6 +5153,7 @@
 				"mean": 0.1197822142,
 				"stdDev": 0.3906678489,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2486,
 				"constructionCost": 12.6373,
 				"preparationCost": 37.4126,
 				"dataCost": 3384.73,
@@ -4750,6 +5171,7 @@
 				"mean": 0.1049001815,
 				"stdDev": 0.3851526897,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2523,
 				"constructionCost": 12.8012,
 				"preparationCost": 37.0165,
 				"dataCost": 3385.07,
@@ -4767,6 +5189,7 @@
 				"mean": 0.1524500907,
 				"stdDev": 0.4336026273,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2414,
 				"constructionCost": 12.2448,
 				"preparationCost": 38.0314,
 				"dataCost": 3384.93,
@@ -4784,6 +5207,7 @@
 				"mean": 0.8871143376,
 				"stdDev": 1.161057869,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1288,
 				"constructionCost": 9.108,
 				"preparationCost": 41.7215,
 				"dataCost": 3384.5,
@@ -4801,6 +5225,7 @@
 				"mean": 0.2460980036,
 				"stdDev": 0.543279533,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2209,
 				"constructionCost": 11.5799,
 				"preparationCost": 39.171,
 				"dataCost": 3384.64,
@@ -4818,6 +5243,7 @@
 				"mean": 0.231215971,
 				"stdDev": 0.4841275298,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2193,
 				"constructionCost": 11.659,
 				"preparationCost": 39.2355,
 				"dataCost": 3384.6,
@@ -4835,6 +5261,7 @@
 				"mean": 0.398185118,
 				"stdDev": 0.6800744396,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1905,
 				"constructionCost": 10.7632,
 				"preparationCost": 40.0512,
 				"dataCost": 3384.75,
@@ -4852,6 +5279,7 @@
 				"mean": 0.1426497278,
 				"stdDev": 0.4212756778,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2434,
 				"constructionCost": 12.3464,
 				"preparationCost": 37.8759,
 				"dataCost": 3385.59,
@@ -4869,6 +5297,7 @@
 				"mean": 0.112522686,
 				"stdDev": 0.3787063505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 12.7165,
 				"preparationCost": 37.2598,
 				"dataCost": 3386.06,
@@ -4886,6 +5315,7 @@
 				"mean": 0.112522686,
 				"stdDev": 0.3787063505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 12.7187,
 				"preparationCost": 37.2598,
 				"dataCost": 3386.06,
@@ -4903,6 +5333,7 @@
 				"mean": 0.112522686,
 				"stdDev": 0.3787063505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 12.7209,
 				"preparationCost": 37.2598,
 				"dataCost": 3386.06,
@@ -4920,6 +5351,7 @@
 				"mean": 0.112522686,
 				"stdDev": 0.3787063505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 12.7231,
 				"preparationCost": 37.2598,
 				"dataCost": 3386.06,
@@ -4937,6 +5369,7 @@
 				"mean": 0.1662431942,
 				"stdDev": 0.3968389695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2323,
 				"constructionCost": 12.1413,
 				"preparationCost": 38.6221,
 				"dataCost": 3385.34,
@@ -4954,6 +5387,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2841634699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.148,
 				"preparationCost": 36.9576,
 				"dataCost": 3386.46,
@@ -4971,6 +5405,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2841634699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.1542,
 				"preparationCost": 36.9576,
 				"dataCost": 3386.46,
@@ -4988,6 +5423,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2841634699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.1557,
 				"preparationCost": 36.9576,
 				"dataCost": 3386.46,
@@ -5005,6 +5441,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2841634699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.1573,
 				"preparationCost": 36.9576,
 				"dataCost": 3386.46,
@@ -5022,6 +5459,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2841634699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 13.1588,
 				"preparationCost": 36.9576,
 				"dataCost": 3386.46,
@@ -5039,6 +5477,7 @@
 				"mean": 0.1197822142,
 				"stdDev": 0.3897376237,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2485,
 				"constructionCost": 12.635,
 				"preparationCost": 37.4225,
 				"dataCost": 3386.66,
@@ -5056,6 +5495,7 @@
 				"mean": 0.1212341198,
 				"stdDev": 0.3479302577,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2435,
 				"constructionCost": 12.6185,
 				"preparationCost": 37.8678,
 				"dataCost": 3386.23,
@@ -5073,6 +5513,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.3794476952,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2499,
 				"constructionCost": 12.7099,
 				"preparationCost": 37.2808,
 				"dataCost": 3386.75,
@@ -5090,6 +5531,7 @@
 				"mean": 0.06969147005,
 				"stdDev": 0.3099202156,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2602,
 				"constructionCost": 13.3636,
 				"preparationCost": 35.8732,
 				"dataCost": 3387.66,
@@ -5107,6 +5549,7 @@
 				"mean": 0.1582577132,
 				"stdDev": 0.4323571644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2383,
 				"constructionCost": 12.2025,
 				"preparationCost": 38.2522,
 				"dataCost": 3386.54,
@@ -5124,6 +5567,7 @@
 				"mean": 0.2882032668,
 				"stdDev": 0.7292605225,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2305,
 				"constructionCost": 11.3479,
 				"preparationCost": 38.7207,
 				"dataCost": 3387.09,
@@ -5141,6 +5585,7 @@
 				"mean": 0.07731397459,
 				"stdDev": 0.2764384084,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2548,
 				"constructionCost": 13.2415,
 				"preparationCost": 36.7071,
 				"dataCost": 3387.36,
@@ -5158,6 +5603,7 @@
 				"mean": 0.1560798548,
 				"stdDev": 0.4151774214,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2377,
 				"constructionCost": 12.2222,
 				"preparationCost": 38.2924,
 				"dataCost": 3386.81,
@@ -5175,6 +5621,7 @@
 				"mean": 0.2522686025,
 				"stdDev": 0.734346215,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2268,
 				"constructionCost": 11.53,
 				"preparationCost": 38.9083,
 				"dataCost": 3387.12,
@@ -5192,6 +5639,7 @@
 				"mean": 0.09328493648,
 				"stdDev": 0.3413572628,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2541,
 				"constructionCost": 12.9762,
 				"preparationCost": 36.7977,
 				"dataCost": 3387.83,
@@ -5209,6 +5657,7 @@
 				"mean": 0.8653357532,
 				"stdDev": 1.103868723,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1327,
 				"constructionCost": 9.21004,
 				"preparationCost": 59.7481,
 				"dataCost": 3369.09,
@@ -5226,6 +5675,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.3000508848,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2598,
 				"constructionCost": 13.3841,
 				"preparationCost": 35.9451,
 				"dataCost": 3388.75,
@@ -5243,6 +5693,7 @@
 				"mean": 0.1034482759,
 				"stdDev": 0.310445638,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2475,
 				"constructionCost": 12.8315,
 				"preparationCost": 37.5187,
 				"dataCost": 3387.88,
@@ -5260,6 +5711,7 @@
 				"mean": 0.4885662432,
 				"stdDev": 1.30340749,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1947,
 				"constructionCost": 10.2552,
 				"preparationCost": 39.9649,
 				"dataCost": 3388.11,
@@ -5277,6 +5729,7 @@
 				"mean": 0.2047186933,
 				"stdDev": 0.5056984378,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2300,
 				"constructionCost": 11.8352,
 				"preparationCost": 38.7472,
 				"dataCost": 3387.75,
@@ -5294,6 +5747,7 @@
 				"mean": 0.0722323049,
 				"stdDev": 0.3052033753,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2588,
 				"constructionCost": 13.3215,
 				"preparationCost": 36.1165,
 				"dataCost": 3389.03,
@@ -5311,6 +5765,7 @@
 				"mean": 0.279491833,
 				"stdDev": 0.6199324618,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2167,
 				"constructionCost": 11.4053,
 				"preparationCost": 57.6148,
 				"dataCost": 3369.55,
@@ -5328,6 +5783,7 @@
 				"mean": 0.08784029038,
 				"stdDev": 0.2894030716,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 13.0832,
 				"preparationCost": 37.074,
 				"dataCost": 3388.42,
@@ -5345,6 +5801,7 @@
 				"mean": 0.1157894737,
 				"stdDev": 0.3322164241,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2447,
 				"constructionCost": 12.6673,
 				"preparationCost": 37.7686,
 				"dataCost": 3388.27,
@@ -5362,6 +5819,7 @@
 				"mean": 0.09219600726,
 				"stdDev": 0.3400556238,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 12.9939,
 				"preparationCost": 36.7593,
 				"dataCost": 3388.97,
@@ -5379,6 +5837,7 @@
 				"mean": 0.09219600726,
 				"stdDev": 0.3400556238,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 12.9991,
 				"preparationCost": 36.7593,
 				"dataCost": 3388.97,
@@ -5396,6 +5855,7 @@
 				"mean": 0.1252268603,
 				"stdDev": 0.3986350273,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2474,
 				"constructionCost": 12.5701,
 				"preparationCost": 37.5281,
 				"dataCost": 3388.85,
@@ -5413,6 +5873,7 @@
 				"mean": 0.3655172414,
 				"stdDev": 0.6919092022,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1995,
 				"constructionCost": 11.0479,
 				"preparationCost": 39.8546,
 				"dataCost": 3388.09,
@@ -5430,6 +5891,7 @@
 				"mean": 0.1070780399,
 				"stdDev": 0.3252317215,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2470,
 				"constructionCost": 12.7743,
 				"preparationCost": 37.5654,
 				"dataCost": 3388.72,
@@ -5447,6 +5909,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3396198597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 13.0043,
 				"preparationCost": 36.7463,
 				"dataCost": 3389.34,
@@ -5464,6 +5927,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3396198597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 13.006,
 				"preparationCost": 36.7463,
 				"dataCost": 3389.34,
@@ -5481,6 +5945,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3396198597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 13.0078,
 				"preparationCost": 36.7463,
 				"dataCost": 3389.34,
@@ -5498,6 +5963,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3396198597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 13.0095,
 				"preparationCost": 36.7463,
 				"dataCost": 3389.34,
@@ -5515,6 +5981,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3396198597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 13.0112,
 				"preparationCost": 36.7463,
 				"dataCost": 3389.34,
@@ -5532,6 +5999,7 @@
 				"mean": 0.09727767695,
 				"stdDev": 0.3543504999,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2537,
 				"constructionCost": 12.9125,
 				"preparationCost": 36.848,
 				"dataCost": 3389.47,
@@ -5549,6 +6017,7 @@
 				"mean": 0.1147005445,
 				"stdDev": 0.3309528826,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2450,
 				"constructionCost": 12.681,
 				"preparationCost": 37.7431,
 				"dataCost": 3388.84,
@@ -5566,6 +6035,7 @@
 				"mean": 0.7150635209,
 				"stdDev": 0.8733449193,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1392,
 				"constructionCost": 9.74575,
 				"preparationCost": 40.5251,
 				"dataCost": 3389.22,
@@ -5583,6 +6053,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.271377727,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 13.2822,
 				"preparationCost": 36.5856,
 				"dataCost": 3389.67,
@@ -5600,6 +6071,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.271377727,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 13.2849,
 				"preparationCost": 36.5856,
 				"dataCost": 3389.67,
@@ -5617,6 +6089,7 @@
 				"mean": 2.691107078,
 				"stdDev": 2.240214221,
 				"missingNumber": 0,
+				"sparseMissingNumber": 361,
 				"constructionCost": 7.1857,
 				"preparationCost": 60.9279,
 				"dataCost": 3371.59,
@@ -5634,6 +6107,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.264813616,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 13.3506,
 				"preparationCost": 36.458,
 				"dataCost": 3390.13,
@@ -5651,6 +6125,7 @@
 				"mean": 0.1397459165,
 				"stdDev": 0.3630870975,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2386,
 				"constructionCost": 12.3785,
 				"preparationCost": 38.2318,
 				"dataCost": 3389.46,
@@ -5668,6 +6143,7 @@
 				"mean": 0.1451905626,
 				"stdDev": 0.3723295844,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2374,
 				"constructionCost": 12.3012,
 				"preparationCost": 38.3122,
 				"dataCost": 3389.46,
@@ -5685,6 +6161,7 @@
 				"mean": 0.1179673321,
 				"stdDev": 0.3851417431,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 12.6559,
 				"preparationCost": 37.4027,
 				"dataCost": 3390.15,
@@ -5702,6 +6179,7 @@
 				"mean": 0.1001814882,
 				"stdDev": 0.3525123258,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 12.8765,
 				"preparationCost": 36.9931,
 				"dataCost": 3390.43,
@@ -5719,6 +6197,7 @@
 				"mean": 1.035208711,
 				"stdDev": 1.230522996,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1154,
 				"constructionCost": 8.91923,
 				"preparationCost": 42.1509,
 				"dataCost": 3389.28,
@@ -5736,6 +6215,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.2888854402,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 13.0945,
 				"preparationCost": 37.0626,
 				"dataCost": 3390.73,
@@ -5753,6 +6233,7 @@
 				"mean": 0.07041742287,
 				"stdDev": 0.3074035165,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2598,
 				"constructionCost": 13.3532,
 				"preparationCost": 35.9451,
 				"dataCost": 3391.75,
@@ -5770,6 +6251,7 @@
 				"mean": 0.06896551724,
 				"stdDev": 0.3089097694,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2604,
 				"constructionCost": 13.379,
 				"preparationCost": 35.8366,
 				"dataCost": 3391.88,
@@ -5787,6 +6269,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2690852581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 13.3108,
 				"preparationCost": 36.5297,
 				"dataCost": 3391.26,
@@ -5804,6 +6287,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2690852581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 13.3135,
 				"preparationCost": 36.5297,
 				"dataCost": 3391.26,
@@ -5821,6 +6305,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2690852581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 13.3148,
 				"preparationCost": 36.5297,
 				"dataCost": 3391.26,
@@ -5838,6 +6323,7 @@
 				"mean": 0.2065335753,
 				"stdDev": 0.490002554,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2282,
 				"constructionCost": 11.8082,
 				"preparationCost": 38.8396,
 				"dataCost": 3390.62,
@@ -5855,6 +6341,7 @@
 				"mean": 0.1317604356,
 				"stdDev": 0.4256609942,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2474,
 				"constructionCost": 12.4912,
 				"preparationCost": 37.5281,
 				"dataCost": 3391.32,
@@ -5872,6 +6359,7 @@
 				"mean": 0.2406533575,
 				"stdDev": 0.5138540981,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2188,
 				"constructionCost": 11.6015,
 				"preparationCost": 39.2552,
 				"dataCost": 3390.52,
@@ -5889,6 +6377,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2759375195,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2569,
 				"constructionCost": 13.3242,
 				"preparationCost": 36.414,
 				"dataCost": 3391.87,
@@ -5906,6 +6395,7 @@
 				"mean": 0.09582577132,
 				"stdDev": 0.3099686749,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2503,
 				"constructionCost": 12.9384,
 				"preparationCost": 37.2387,
 				"dataCost": 3391.48,
@@ -5923,6 +6413,7 @@
 				"mean": 0.07332123412,
 				"stdDev": 0.2675350347,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2558,
 				"constructionCost": 13.3,
 				"preparationCost": 36.5718,
 				"dataCost": 3391.85,
@@ -5940,6 +6431,7 @@
 				"mean": 0.09401088929,
 				"stdDev": 0.3028306743,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2504,
 				"constructionCost": 12.9638,
 				"preparationCost": 37.2281,
 				"dataCost": 3391.58,
@@ -5957,6 +6449,7 @@
 				"mean": 0.4054446461,
 				"stdDev": 0.7174562674,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1931,
 				"constructionCost": 10.7215,
 				"preparationCost": 59.6657,
 				"dataCost": 3371.62,
@@ -5974,6 +6467,7 @@
 				"mean": 0.07005444646,
 				"stdDev": 0.260865161,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 13.361,
 				"preparationCost": 36.458,
 				"dataCost": 3392.24,
@@ -5991,6 +6485,7 @@
 				"mean": 0.07005444646,
 				"stdDev": 0.260865161,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 13.3623,
 				"preparationCost": 36.458,
 				"dataCost": 3392.24,
@@ -6008,6 +6503,7 @@
 				"mean": 0.7226860254,
 				"stdDev": 0.9844769998,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1466,
 				"constructionCost": 9.70073,
 				"preparationCost": 40.5131,
 				"dataCost": 3391.85,
@@ -6025,6 +6521,7 @@
 				"mean": 3.072232305,
 				"stdDev": 2.241550035,
 				"missingNumber": 0,
+				"sparseMissingNumber": 251,
 				"constructionCost": 6.94766,
 				"preparationCost": 58.8112,
 				"dataCost": 3376.32,
@@ -6042,6 +6539,7 @@
 				"mean": 0.4381125227,
 				"stdDev": 0.7701788005,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1882,
 				"constructionCost": 10.5275,
 				"preparationCost": 41.2659,
 				"dataCost": 3390.52,
@@ -6059,6 +6557,7 @@
 				"mean": 1.467150635,
 				"stdDev": 1.608256502,
 				"missingNumber": 0,
+				"sparseMissingNumber": 942,
 				"constructionCost": 8.05384,
 				"preparationCost": 42.5389,
 				"dataCost": 3391.78,
@@ -6076,6 +6575,7 @@
 				"mean": 0.297277677,
 				"stdDev": 0.6189768452,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2125,
 				"constructionCost": 11.3282,
 				"preparationCost": 39.4826,
 				"dataCost": 3391.61,
@@ -6093,6 +6593,7 @@
 				"mean": 0.07150635209,
 				"stdDev": 0.3135843068,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2594,
 				"constructionCost": 13.3362,
 				"preparationCost": 36.015,
 				"dataCost": 3393.08,
@@ -6110,6 +6611,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2708018072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2578,
 				"constructionCost": 13.3879,
 				"preparationCost": 36.2773,
 				"dataCost": 3392.85,
@@ -6127,6 +6629,7 @@
 				"mean": 0.1600725953,
 				"stdDev": 0.4096866961,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2351,
 				"constructionCost": 12.1891,
 				"preparationCost": 38.458,
 				"dataCost": 3392.13,
@@ -6144,6 +6647,7 @@
 				"mean": 0.07332123412,
 				"stdDev": 0.279479105,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2567,
 				"constructionCost": 13.2986,
 				"preparationCost": 36.4434,
 				"dataCost": 3393.06,
@@ -6161,6 +6665,7 @@
 				"mean": 0.1451905626,
 				"stdDev": 0.4234178515,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 12.3043,
 				"preparationCost": 37.9316,
 				"dataCost": 3392.6,
@@ -6178,6 +6683,7 @@
 				"mean": 0.4773139746,
 				"stdDev": 0.8637343737,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1877,
 				"constructionCost": 10.2851,
 				"preparationCost": 41.7665,
 				"dataCost": 3390.98,
@@ -6195,6 +6701,7 @@
 				"mean": 1.191288566,
 				"stdDev": 1.10175424,
 				"missingNumber": 0,
+				"sparseMissingNumber": 883,
 				"constructionCost": 8.60305,
 				"preparationCost": 40.2416,
 				"dataCost": 3394.52,
@@ -6212,6 +6719,7 @@
 				"mean": 0.1237749546,
 				"stdDev": 0.3842605459,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2461,
 				"constructionCost": 12.5873,
 				"preparationCost": 37.6471,
 				"dataCost": 3393.13,
@@ -6229,6 +6737,7 @@
 				"mean": 0.1172413793,
 				"stdDev": 0.4055562533,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2503,
 				"constructionCost": 12.6605,
 				"preparationCost": 37.2387,
 				"dataCost": 3393.73,
@@ -6246,6 +6755,7 @@
 				"mean": 1.355716878,
 				"stdDev": 1.385876053,
 				"missingNumber": 0,
+				"sparseMissingNumber": 889,
 				"constructionCost": 8.2612,
 				"preparationCost": 40.3492,
 				"dataCost": 3395.05,
@@ -6263,6 +6773,7 @@
 				"mean": 0.07949183303,
 				"stdDev": 0.2936665322,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 13.2213,
 				"preparationCost": 36.6403,
 				"dataCost": 3393.8,
@@ -6280,6 +6791,7 @@
 				"mean": 0.1139745917,
 				"stdDev": 0.4024480344,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 12.6899,
 				"preparationCost": 37.1078,
 				"dataCost": 3393.98,
@@ -6297,6 +6809,7 @@
 				"mean": 1.377858439,
 				"stdDev": 1.547511246,
 				"missingNumber": 0,
+				"sparseMissingNumber": 914,
 				"constructionCost": 8.19534,
 				"preparationCost": 40.2789,
 				"dataCost": 3395.45,
@@ -6314,6 +6827,7 @@
 				"mean": 0.4635208711,
 				"stdDev": 0.6961349994,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1754,
 				"constructionCost": 10.3984,
 				"preparationCost": 40.2932,
 				"dataCost": 3393.26,
@@ -6331,6 +6845,7 @@
 				"mean": 0.09401088929,
 				"stdDev": 0.3464369741,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 12.9673,
 				"preparationCost": 36.7721,
 				"dataCost": 3394.45,
@@ -6348,6 +6863,7 @@
 				"mean": 0.1793103448,
 				"stdDev": 0.4832665205,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2359,
 				"constructionCost": 12.0246,
 				"preparationCost": 38.4084,
 				"dataCost": 3393.78,
@@ -6365,6 +6881,7 @@
 				"mean": 0.09401088929,
 				"stdDev": 0.3180311366,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 12.9656,
 				"preparationCost": 37.1078,
 				"dataCost": 3394.28,
@@ -6382,6 +6899,7 @@
 				"mean": 0.335753176,
 				"stdDev": 0.5959416018,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1989,
 				"constructionCost": 11.1734,
 				"preparationCost": 39.8691,
 				"dataCost": 3393.39,
@@ -6399,6 +6917,7 @@
 				"mean": 0.08275862069,
 				"stdDev": 0.3295110134,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2558,
 				"constructionCost": 13.1755,
 				"preparationCost": 36.5718,
 				"dataCost": 3394.98,
@@ -6416,6 +6935,7 @@
 				"mean": 0.09219600726,
 				"stdDev": 0.3432428961,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2547,
 				"constructionCost": 12.9973,
 				"preparationCost": 36.7202,
 				"dataCost": 3395.11,
@@ -6423,7 +6943,7 @@
 			},
 			{
 				"rank": "R0338",
-				"name": "TXT.2gram( \u00C3)",
+				"name": "TXT.2gram( {C3})",
 				"type": "Numerical",
 				"level": 0.000600532,
 				"parts": 2,
@@ -6433,6 +6953,7 @@
 				"mean": 0.3956442831,
 				"stdDev": 0.6590835995,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1892,
 				"constructionCost": 10.7836,
 				"preparationCost": 40.0761,
 				"dataCost": 3394.04,
@@ -6450,6 +6971,7 @@
 				"mean": 0.08384754991,
 				"stdDev": 0.2861796778,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2531,
 				"constructionCost": 13.1603,
 				"preparationCost": 36.9216,
 				"dataCost": 3394.82,
@@ -6467,6 +6989,7 @@
 				"mean": 0.09473684211,
 				"stdDev": 0.3377483273,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 12.9493,
 				"preparationCost": 36.9457,
 				"dataCost": 3395.02,
@@ -6484,6 +7007,7 @@
 				"mean": 0.4025408348,
 				"stdDev": 0.7370373357,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1941,
 				"constructionCost": 10.7425,
 				"preparationCost": 40.9896,
 				"dataCost": 3393.3,
@@ -6501,6 +7025,7 @@
 				"mean": 0.07840290381,
 				"stdDev": 0.2921010769,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 13.23,
 				"preparationCost": 36.5994,
 				"dataCost": 3395.21,
@@ -6518,6 +7043,7 @@
 				"mean": 0.1281306715,
 				"stdDev": 0.3643704627,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2430,
 				"constructionCost": 12.5249,
 				"preparationCost": 37.9079,
 				"dataCost": 3394.83,
@@ -6535,6 +7061,7 @@
 				"mean": 0.09655172414,
 				"stdDev": 0.3493926498,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2531,
 				"constructionCost": 12.9256,
 				"preparationCost": 36.9216,
 				"dataCost": 3395.48,
@@ -6552,6 +7079,7 @@
 				"mean": 0.322323049,
 				"stdDev": 0.592076273,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2023,
 				"constructionCost": 11.2247,
 				"preparationCost": 39.7841,
 				"dataCost": 3394.34,
@@ -6569,6 +7097,7 @@
 				"mean": 0.1448275862,
 				"stdDev": 0.397457342,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2397,
 				"constructionCost": 12.3165,
 				"preparationCost": 38.1553,
 				"dataCost": 3394.99,
@@ -6586,6 +7115,7 @@
 				"mean": 0.09074410163,
 				"stdDev": 0.3206809761,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2531,
 				"constructionCost": 13.0266,
 				"preparationCost": 36.9216,
 				"dataCost": 3395.58,
@@ -6603,6 +7133,7 @@
 				"mean": 0.1560798548,
 				"stdDev": 0.4195259889,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2381,
 				"constructionCost": 12.2189,
 				"preparationCost": 38.2657,
 				"dataCost": 3395.12,
@@ -6620,6 +7151,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2976216186,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2597,
 				"constructionCost": 13.3815,
 				"preparationCost": 35.9627,
 				"dataCost": 3396.33,
@@ -6637,6 +7169,7 @@
 				"mean": 0.120508167,
 				"stdDev": 0.3819860644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2471,
 				"constructionCost": 12.6232,
 				"preparationCost": 37.5561,
 				"dataCost": 3395.56,
@@ -6654,6 +7187,7 @@
 				"mean": 0.7702359347,
 				"stdDev": 0.9710060543,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1380,
 				"constructionCost": 9.47733,
 				"preparationCost": 40.5254,
 				"dataCost": 3395.83,
@@ -6661,7 +7195,7 @@
 			},
 			{
 				"rank": "R0352",
-				"name": "TXT.1gram(\u00C3)",
+				"name": "TXT.1gram({C3})",
 				"type": "Numerical",
 				"level": 0.000205741,
 				"parts": 2,
@@ -6671,6 +7205,7 @@
 				"mean": 1.832667877,
 				"stdDev": 1.607136974,
 				"missingNumber": 0,
+				"sparseMissingNumber": 622,
 				"constructionCost": 7.62484,
 				"preparationCost": 42.289,
 				"dataCost": 3396.35,
@@ -6688,6 +7223,7 @@
 				"mean": 0.09074410163,
 				"stdDev": 0.3079785828,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2521,
 				"constructionCost": 13.0283,
 				"preparationCost": 37.0397,
 				"dataCost": 3396.26,
@@ -6705,6 +7241,7 @@
 				"mean": 0.2039927405,
 				"stdDev": 0.461731956,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2251,
 				"constructionCost": 11.844,
 				"preparationCost": 38.9882,
 				"dataCost": 3395.51,
@@ -6722,6 +7259,7 @@
 				"mean": 0.1052631579,
 				"stdDev": 0.3530904185,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2498,
 				"constructionCost": 12.7991,
 				"preparationCost": 37.2912,
 				"dataCost": 3396.46,
@@ -6739,6 +7277,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3436736831,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 12.9886,
 				"preparationCost": 36.7333,
 				"dataCost": 3396.83,
@@ -6756,6 +7295,7 @@
 				"mean": 1.515789474,
 				"stdDev": 1.279187463,
 				"missingNumber": 0,
+				"sparseMissingNumber": 670,
 				"constructionCost": 7.89702,
 				"preparationCost": 41.5199,
 				"dataCost": 3397.19,
@@ -6773,6 +7313,7 @@
 				"mean": 0.8163339383,
 				"stdDev": 0.9985588477,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1324,
 				"constructionCost": 9.27409,
 				"preparationCost": 40.5209,
 				"dataCost": 3396.83,
@@ -6790,6 +7331,7 @@
 				"mean": 0.0780399274,
 				"stdDev": 0.291576487,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 13.2329,
 				"preparationCost": 36.5856,
 				"dataCost": 3396.81,
@@ -6807,6 +7349,7 @@
 				"mean": 0.8700544465,
 				"stdDev": 1.023761168,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1268,
 				"constructionCost": 9.17685,
 				"preparationCost": 40.5065,
 				"dataCost": 3397.02,
@@ -6824,6 +7367,7 @@
 				"mean": 0.1705989111,
 				"stdDev": 0.5047212711,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2386,
 				"constructionCost": 12.0916,
 				"preparationCost": 38.2318,
 				"dataCost": 3396.49,
@@ -6841,6 +7385,7 @@
 				"mean": 0.2519056261,
 				"stdDev": 0.7327390613,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2268,
 				"constructionCost": 11.5356,
 				"preparationCost": 38.9083,
 				"dataCost": 3396.42,
@@ -6858,6 +7403,7 @@
 				"mean": 0.08784029038,
 				"stdDev": 0.33258742,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2555,
 				"constructionCost": 13.0799,
 				"preparationCost": 36.6131,
 				"dataCost": 3397.18,
@@ -6875,6 +7421,7 @@
 				"mean": 0.3713248639,
 				"stdDev": 0.7415916234,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2018,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6892,6 +7439,7 @@
 				"mean": 0.464246824,
 				"stdDev": 1.028668604,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1917,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6909,6 +7457,7 @@
 				"mean": 0.256261343,
 				"stdDev": 0.531777655,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2159,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6926,6 +7475,7 @@
 				"mean": 0.355353902,
 				"stdDev": 0.68827582,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1990,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6943,6 +7493,7 @@
 				"mean": 0.3611615245,
 				"stdDev": 0.7071438124,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1996,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6960,6 +7511,7 @@
 				"mean": 0.312522686,
 				"stdDev": 0.6805351709,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2120,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6977,6 +7529,7 @@
 				"mean": 0.1390199637,
 				"stdDev": 0.4401597441,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2430,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -6994,6 +7547,7 @@
 				"mean": 0.2050816697,
 				"stdDev": 0.5432739552,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2279,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7011,6 +7565,7 @@
 				"mean": 0.190199637,
 				"stdDev": 0.4573796551,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2297,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7028,6 +7583,7 @@
 				"mean": 0.1974591652,
 				"stdDev": 0.4707727031,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2283,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7045,6 +7601,7 @@
 				"mean": 0.5847549909,
 				"stdDev": 0.8765879466,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1585,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7062,6 +7619,7 @@
 				"mean": 0.3756805808,
 				"stdDev": 0.6990194322,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1989,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7079,6 +7637,7 @@
 				"mean": 0.2174228675,
 				"stdDev": 0.6303755981,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2323,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7096,6 +7655,7 @@
 				"mean": 0.4983666062,
 				"stdDev": 0.8048723337,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1796,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7113,6 +7673,7 @@
 				"mean": 0.1023593466,
 				"stdDev": 0.3424766551,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2497,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7130,6 +7691,7 @@
 				"mean": 0.324137931,
 				"stdDev": 0.8536342352,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2132,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7147,6 +7709,7 @@
 				"mean": 0.5680580762,
 				"stdDev": 0.9053158418,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1646,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7164,6 +7727,7 @@
 				"mean": 0.3368421053,
 				"stdDev": 0.7470232581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2068,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7181,6 +7745,7 @@
 				"mean": 0.2003629764,
 				"stdDev": 0.6305586602,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2361,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7198,6 +7763,7 @@
 				"mean": 0.2239564428,
 				"stdDev": 0.568635414,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2257,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7215,6 +7781,7 @@
 				"mean": 0.2272232305,
 				"stdDev": 1.008450368,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2417,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7232,6 +7799,7 @@
 				"mean": 0.4453720508,
 				"stdDev": 0.7559872318,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1860,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7249,6 +7817,7 @@
 				"mean": 2.545553539,
 				"stdDev": 2.297085112,
 				"missingNumber": 0,
+				"sparseMissingNumber": 402,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7266,6 +7835,7 @@
 				"mean": 1.234845735,
 				"stdDev": 1.299037031,
 				"missingNumber": 0,
+				"sparseMissingNumber": 936,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7283,6 +7853,7 @@
 				"mean": 0.2671506352,
 				"stdDev": 0.6305521829,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2208,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7290,7 +7861,7 @@
 			},
 			{
 				"rank": "R0389",
-				"name": "TXT.1gram(\u00A0)",
+				"name": "TXT.1gram({A0})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7300,6 +7871,7 @@
 				"mean": 0.2388384755,
 				"stdDev": 0.4934578475,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2176,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7307,7 +7879,7 @@
 			},
 			{
 				"rank": "R0390",
-				"name": "TXT.1gram(\u00A7)",
+				"name": "TXT.1gram({A7})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7317,6 +7889,7 @@
 				"mean": 0.09473684211,
 				"stdDev": 0.3155231787,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2512,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7324,7 +7897,7 @@
 			},
 			{
 				"rank": "R0391",
-				"name": "TXT.1gram(\u00A8)",
+				"name": "TXT.1gram({A8})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7334,6 +7907,7 @@
 				"mean": 0.1430127042,
 				"stdDev": 0.3884227469,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2400,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7341,7 +7915,7 @@
 			},
 			{
 				"rank": "R0392",
-				"name": "TXT.1gram(\u00A9)",
+				"name": "TXT.1gram({A9})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7351,6 +7925,7 @@
 				"mean": 1.082395644,
 				"stdDev": 1.202884644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1118,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7358,7 +7933,7 @@
 			},
 			{
 				"rank": "R0393",
-				"name": "TXT.1gram(\u00AA)",
+				"name": "TXT.1gram({AA})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7368,6 +7943,7 @@
 				"mean": 0.1190562613,
 				"stdDev": 0.360957361,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2456,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7385,6 +7961,7 @@
 				"mean": 0.6137931034,
 				"stdDev": 0.9960130798,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1709,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7402,6 +7979,7 @@
 				"mean": 0.07586206897,
 				"stdDev": 0.2921506881,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7419,6 +7997,7 @@
 				"mean": 0.1052631579,
 				"stdDev": 0.3510284006,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2499,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7436,6 +8015,7 @@
 				"mean": 0.09909255898,
 				"stdDev": 0.3288586275,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2506,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7453,6 +8033,7 @@
 				"mean": 0.1459165154,
 				"stdDev": 0.4047546638,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2401,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7470,6 +8051,7 @@
 				"mean": 0.15353902,
 				"stdDev": 0.4294313103,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2385,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7487,6 +8069,7 @@
 				"mean": 0.1096188748,
 				"stdDev": 0.3465647332,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2479,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7504,6 +8087,7 @@
 				"mean": 0.122323049,
 				"stdDev": 0.3958849732,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2479,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7521,6 +8105,7 @@
 				"mean": 0.09038112523,
 				"stdDev": 0.3003295829,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2517,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7538,6 +8123,7 @@
 				"mean": 0.07005444646,
 				"stdDev": 0.2717687523,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2574,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7555,6 +8141,7 @@
 				"mean": 0.1727767695,
 				"stdDev": 0.4418071525,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2338,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7572,6 +8159,7 @@
 				"mean": 0.1306715064,
 				"stdDev": 0.3899640533,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2443,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7589,6 +8177,7 @@
 				"mean": 0.1735027223,
 				"stdDev": 0.4496684396,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2346,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7606,6 +8195,7 @@
 				"mean": 0.08130671506,
 				"stdDev": 0.2875437603,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2542,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7623,6 +8213,7 @@
 				"mean": 0.09038112523,
 				"stdDev": 0.2991185477,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7640,6 +8231,7 @@
 				"mean": 0.08820326679,
 				"stdDev": 0.2997679721,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7657,6 +8249,7 @@
 				"mean": 0.7099818512,
 				"stdDev": 0.90356734,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1414,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7674,6 +8267,7 @@
 				"mean": 0.6671506352,
 				"stdDev": 0.8667642505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1475,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7691,6 +8285,7 @@
 				"mean": 0.3448275862,
 				"stdDev": 0.6209920618,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1982,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7708,6 +8303,7 @@
 				"mean": 0.1401088929,
 				"stdDev": 0.3847916293,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2403,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7725,6 +8321,7 @@
 				"mean": 0.1851179673,
 				"stdDev": 0.4490723799,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2307,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7742,6 +8339,7 @@
 				"mean": 0.355353902,
 				"stdDev": 0.5937082487,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1930,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7759,6 +8357,7 @@
 				"mean": 0.2108892922,
 				"stdDev": 0.4776201291,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2251,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7776,6 +8375,7 @@
 				"mean": 0.4010889292,
 				"stdDev": 0.6560611535,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1863,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7783,7 +8383,7 @@
 			},
 			{
 				"rank": "R0418",
-				"name": "TXT.2gram('\u00C3)",
+				"name": "TXT.2gram('{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -7793,6 +8393,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2772422252,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2579,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7810,6 +8411,7 @@
 				"mean": 0.3049001815,
 				"stdDev": 0.8225240794,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2370,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7827,6 +8429,7 @@
 				"mean": 0.09401088929,
 				"stdDev": 0.4638085764,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2610,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7844,6 +8447,7 @@
 				"mean": 0.08094373866,
 				"stdDev": 0.3053958464,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2554,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7861,6 +8465,7 @@
 				"mean": 0.09001814882,
 				"stdDev": 0.3022453776,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7878,6 +8483,7 @@
 				"mean": 0.0834845735,
 				"stdDev": 0.3005128998,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7895,6 +8501,7 @@
 				"mean": 0.1397459165,
 				"stdDev": 0.3709984674,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2393,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7912,6 +8519,7 @@
 				"mean": 0.1749546279,
 				"stdDev": 0.4155209571,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2312,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7929,6 +8537,7 @@
 				"mean": 0.09110707804,
 				"stdDev": 0.3344318928,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2540,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7946,6 +8555,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2759375195,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2570,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7963,6 +8573,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3491723608,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7980,6 +8591,7 @@
 				"mean": 0.09001814882,
 				"stdDev": 0.3022453776,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -7997,6 +8609,7 @@
 				"mean": 0.08965517241,
 				"stdDev": 0.2956767576,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2516,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8014,6 +8627,7 @@
 				"mean": 0.9941923775,
 				"stdDev": 1.029846266,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1047,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8031,6 +8645,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.3199558271,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2535,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8048,6 +8663,7 @@
 				"mean": 0.231215971,
 				"stdDev": 0.5244357184,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2227,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8065,6 +8681,7 @@
 				"mean": 0.1016333938,
 				"stdDev": 0.3612554484,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8082,6 +8699,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2951723602,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2596,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8099,6 +8717,7 @@
 				"mean": 0.1658802178,
 				"stdDev": 0.4521345786,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2371,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8116,6 +8735,7 @@
 				"mean": 0.4667876588,
 				"stdDev": 0.7681762575,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1815,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8133,6 +8753,7 @@
 				"mean": 0.2983666062,
 				"stdDev": 0.7201387872,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2165,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8150,6 +8771,7 @@
 				"mean": 1.226860254,
 				"stdDev": 1.324515779,
 				"missingNumber": 0,
+				"sparseMissingNumber": 939,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8167,6 +8789,7 @@
 				"mean": 0.1259528131,
 				"stdDev": 0.3947451446,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2464,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8184,6 +8807,7 @@
 				"mean": 0.444646098,
 				"stdDev": 0.7404095913,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1850,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8201,6 +8825,7 @@
 				"mean": 0.2217785844,
 				"stdDev": 0.5159852292,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2253,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8218,6 +8843,7 @@
 				"mean": 0.1284936479,
 				"stdDev": 0.4052796971,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2461,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8235,6 +8861,7 @@
 				"mean": 0.1128856624,
 				"stdDev": 0.3838351502,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2504,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8252,6 +8879,7 @@
 				"mean": 0.1448275862,
 				"stdDev": 0.3910123643,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2395,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8269,6 +8897,7 @@
 				"mean": 0.1502722323,
 				"stdDev": 0.4376920562,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2412,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8286,6 +8915,7 @@
 				"mean": 0.07695099819,
 				"stdDev": 0.3046442621,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8303,6 +8933,7 @@
 				"mean": 0.1495462795,
 				"stdDev": 0.3915564979,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2377,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8320,6 +8951,7 @@
 				"mean": 0.1949183303,
 				"stdDev": 0.4962029533,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2316,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8337,6 +8969,7 @@
 				"mean": 0.4950998185,
 				"stdDev": 0.8156108124,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1793,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8354,6 +8987,7 @@
 				"mean": 0.3390199637,
 				"stdDev": 0.655939042,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2047,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8371,6 +9005,7 @@
 				"mean": 0.1952813067,
 				"stdDev": 0.5337735597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2342,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8388,6 +9023,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3000974257,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8405,6 +9041,7 @@
 				"mean": 0.5978221416,
 				"stdDev": 0.8953169009,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1603,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8422,6 +9059,7 @@
 				"mean": 0.09945553539,
 				"stdDev": 0.3475343189,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8439,6 +9077,7 @@
 				"mean": 0.1441016334,
 				"stdDev": 0.4276265699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2419,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8456,6 +9095,7 @@
 				"mean": 0.0943738657,
 				"stdDev": 0.3307928083,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8473,6 +9113,7 @@
 				"mean": 0.1578947368,
 				"stdDev": 0.4122955037,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2368,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8490,6 +9131,7 @@
 				"mean": 0.1459165154,
 				"stdDev": 0.3919987225,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2388,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8507,6 +9149,7 @@
 				"mean": 0.2192377495,
 				"stdDev": 0.5075046241,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2258,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8524,6 +9167,7 @@
 				"mean": 0.2696914701,
 				"stdDev": 0.5818236671,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2173,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8541,6 +9185,7 @@
 				"mean": 0.198185118,
 				"stdDev": 0.4938058891,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2314,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8558,6 +9203,7 @@
 				"mean": 0.07695099819,
 				"stdDev": 0.2974094981,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2567,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8575,6 +9221,7 @@
 				"mean": 0.2185117967,
 				"stdDev": 0.4991666007,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2250,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8582,7 +9229,7 @@
 			},
 			{
 				"rank": "R0465",
-				"name": "TXT.2gram(d\u00C3)",
+				"name": "TXT.2gram(d{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -8592,6 +9239,7 @@
 				"mean": 0.1382940109,
 				"stdDev": 0.3877947246,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2413,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8609,6 +9257,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.3648167502,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2480,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8626,6 +9275,7 @@
 				"mean": 0.1938294011,
 				"stdDev": 0.4437487148,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2275,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8643,6 +9293,7 @@
 				"mean": 0.1034482759,
 				"stdDev": 0.3602364828,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2511,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8660,6 +9311,7 @@
 				"mean": 0.2225045372,
 				"stdDev": 0.5288774259,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2249,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8677,6 +9329,7 @@
 				"mean": 0.07368421053,
 				"stdDev": 0.2964044089,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2574,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8694,6 +9347,7 @@
 				"mean": 0.122323049,
 				"stdDev": 0.358347251,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2447,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8711,6 +9365,7 @@
 				"mean": 0.3662431942,
 				"stdDev": 0.7040099346,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2019,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8728,6 +9383,7 @@
 				"mean": 0.3350272232,
 				"stdDev": 0.6778234283,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2074,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8745,6 +9401,7 @@
 				"mean": 1.34845735,
 				"stdDev": 1.334381447,
 				"missingNumber": 0,
+				"sparseMissingNumber": 879,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8762,6 +9419,7 @@
 				"mean": 0.09074410163,
 				"stdDev": 0.3149706722,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8779,6 +9437,7 @@
 				"mean": 0.9274047187,
 				"stdDev": 1.099658575,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1208,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8796,6 +9455,7 @@
 				"mean": 0.4689655172,
 				"stdDev": 0.763528097,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1798,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8813,6 +9473,7 @@
 				"mean": 0.4515426497,
 				"stdDev": 0.730035164,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1818,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8830,6 +9491,7 @@
 				"mean": 0.09038112523,
 				"stdDev": 0.3247196752,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2534,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8847,6 +9509,7 @@
 				"mean": 0.07368421053,
 				"stdDev": 0.3107523248,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2584,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8864,6 +9527,7 @@
 				"mean": 0.2493647913,
 				"stdDev": 0.5461252352,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2194,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8881,6 +9545,7 @@
 				"mean": 0.1012704174,
 				"stdDev": 0.3618592609,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8898,6 +9563,7 @@
 				"mean": 0.1611615245,
 				"stdDev": 0.4477993308,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2393,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8915,6 +9581,7 @@
 				"mean": 0.102722323,
 				"stdDev": 0.3604441617,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8932,6 +9599,7 @@
 				"mean": 0.2228675136,
 				"stdDev": 0.5151636558,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2250,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8949,6 +9617,7 @@
 				"mean": 0.1960072595,
 				"stdDev": 0.4895110638,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2311,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8966,6 +9635,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3228123687,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2548,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -8983,6 +9653,7 @@
 				"mean": 0.0889292196,
 				"stdDev": 0.3382523361,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2551,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9000,6 +9671,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.282070271,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2579,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9017,6 +9689,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.3094156179,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2599,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9034,6 +9707,7 @@
 				"mean": 0.1851179673,
 				"stdDev": 0.5305853483,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2368,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9051,6 +9725,7 @@
 				"mean": 0.2108892922,
 				"stdDev": 0.5260796767,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2298,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9068,6 +9743,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.3279977406,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9085,6 +9761,7 @@
 				"mean": 0.1618874773,
 				"stdDev": 0.4595421793,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2388,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9102,6 +9779,7 @@
 				"mean": 0.1531760436,
 				"stdDev": 0.4231760089,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2397,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9119,6 +9797,7 @@
 				"mean": 0.7502722323,
 				"stdDev": 0.9781992597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1386,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9136,6 +9815,7 @@
 				"mean": 0.07731397459,
 				"stdDev": 0.3133636514,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9153,6 +9833,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.3765946253,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9170,6 +9851,7 @@
 				"mean": 0.4617059891,
 				"stdDev": 0.7350963199,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1812,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9187,6 +9869,7 @@
 				"mean": 0.168784029,
 				"stdDev": 0.4606140565,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2371,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9204,6 +9887,7 @@
 				"mean": 0.7549909256,
 				"stdDev": 0.9843823779,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1427,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9221,6 +9905,7 @@
 				"mean": 0.3491833031,
 				"stdDev": 0.667657188,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2017,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9238,6 +9923,7 @@
 				"mean": 0.1967332123,
 				"stdDev": 0.4794774072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2300,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9255,6 +9941,7 @@
 				"mean": 0.4036297641,
 				"stdDev": 0.7177206566,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1940,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9272,6 +9959,7 @@
 				"mean": 0.7626134301,
 				"stdDev": 1.022567351,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1410,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9289,6 +9977,7 @@
 				"mean": 0.1074410163,
 				"stdDev": 0.358560066,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2499,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9306,6 +9995,7 @@
 				"mean": 0.1230490018,
 				"stdDev": 0.3882514146,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2467,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9323,6 +10013,7 @@
 				"mean": 0.09110707804,
 				"stdDev": 0.3222719503,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9340,6 +10031,7 @@
 				"mean": 0.1136116152,
 				"stdDev": 0.3691553927,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2490,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9357,6 +10049,7 @@
 				"mean": 0.3070780399,
 				"stdDev": 0.5791952544,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2054,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9374,6 +10067,7 @@
 				"mean": 0.2043557169,
 				"stdDev": 0.4728366464,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2268,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9391,6 +10085,7 @@
 				"mean": 1.3353902,
 				"stdDev": 1.308092841,
 				"missingNumber": 0,
+				"sparseMissingNumber": 857,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9408,6 +10103,7 @@
 				"mean": 0.4747731397,
 				"stdDev": 0.8196756326,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1846,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9425,6 +10121,7 @@
 				"mean": 0.5851179673,
 				"stdDev": 0.8205150515,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1609,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9442,6 +10139,7 @@
 				"mean": 0.2235934664,
 				"stdDev": 0.5509491644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2266,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9459,6 +10157,7 @@
 				"mean": 0.1117967332,
 				"stdDev": 0.3612674835,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2486,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9476,6 +10175,7 @@
 				"mean": 0.2068965517,
 				"stdDev": 0.5069638337,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2294,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9483,7 +10183,7 @@
 			},
 			{
 				"rank": "R0518",
-				"name": "TXT.2gram(l\u00C3)",
+				"name": "TXT.2gram(l{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -9493,6 +10193,7 @@
 				"mean": 0.07949183303,
 				"stdDev": 0.2823233197,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9510,6 +10211,7 @@
 				"mean": 0.4279491833,
 				"stdDev": 0.7160204381,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1861,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9527,6 +10229,7 @@
 				"mean": 0.7473684211,
 				"stdDev": 0.9403571977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1390,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9544,6 +10247,7 @@
 				"mean": 0.2591651543,
 				"stdDev": 0.5769171715,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2188,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9561,6 +10265,7 @@
 				"mean": 0.1215970962,
 				"stdDev": 0.3685774748,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2456,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9578,6 +10283,7 @@
 				"mean": 0.2341197822,
 				"stdDev": 0.5272924164,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2227,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9595,6 +10301,7 @@
 				"mean": 0.1876588022,
 				"stdDev": 0.5740866333,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2363,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9602,7 +10309,7 @@
 			},
 			{
 				"rank": "R0525",
-				"name": "TXT.2gram(m\u00C3)",
+				"name": "TXT.2gram(m{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -9612,6 +10319,7 @@
 				"mean": 0.09292196007,
 				"stdDev": 0.3154876836,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2516,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9629,6 +10337,7 @@
 				"mean": 1.065335753,
 				"stdDev": 1.051183684,
 				"missingNumber": 0,
+				"sparseMissingNumber": 966,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9646,6 +10355,7 @@
 				"mean": 0.2602540835,
 				"stdDev": 0.6168822206,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2222,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9663,6 +10373,7 @@
 				"mean": 0.3012704174,
 				"stdDev": 0.6126155741,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2114,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9680,6 +10391,7 @@
 				"mean": 0.4566243194,
 				"stdDev": 0.7421865489,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1819,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9697,6 +10409,7 @@
 				"mean": 0.7970961887,
 				"stdDev": 1.0033658,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1355,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9714,6 +10427,7 @@
 				"mean": 0.07114337568,
 				"stdDev": 0.31192622,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2595,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9731,6 +10445,7 @@
 				"mean": 0.141923775,
 				"stdDev": 0.414574675,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2424,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9748,6 +10463,7 @@
 				"mean": 0.244646098,
 				"stdDev": 0.5794761167,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2234,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9765,6 +10481,7 @@
 				"mean": 0.1963702359,
 				"stdDev": 0.4897362905,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2311,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9782,6 +10499,7 @@
 				"mean": 0.2283121597,
 				"stdDev": 0.5110011708,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2234,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9799,6 +10517,7 @@
 				"mean": 0.4137931034,
 				"stdDev": 0.704220067,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1890,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9816,6 +10535,7 @@
 				"mean": 1.034482759,
 				"stdDev": 1.19005622,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1162,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9823,7 +10543,7 @@
 			},
 			{
 				"rank": "R0538",
-				"name": "TXT.2gram(n\u00C3)",
+				"name": "TXT.2gram(n{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -9833,6 +10553,7 @@
 				"mean": 0.1005444646,
 				"stdDev": 0.3239665592,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2498,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9850,6 +10571,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3183131319,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2499,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9867,6 +10589,7 @@
 				"mean": 0.1128856624,
 				"stdDev": 0.3693780317,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2489,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9884,6 +10607,7 @@
 				"mean": 0.4519056261,
 				"stdDev": 0.7310528656,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1812,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9901,6 +10625,7 @@
 				"mean": 0.3382940109,
 				"stdDev": 0.638939111,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2011,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9918,6 +10643,7 @@
 				"mean": 1.130671506,
 				"stdDev": 1.216784948,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1032,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9935,6 +10661,7 @@
 				"mean": 0.1891107078,
 				"stdDev": 0.4806503917,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2326,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9952,6 +10679,7 @@
 				"mean": 0.3245009074,
 				"stdDev": 0.6278174069,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2054,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9969,6 +10697,7 @@
 				"mean": 0.1245009074,
 				"stdDev": 0.38685112,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2464,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -9986,6 +10715,7 @@
 				"mean": 0.1266787659,
 				"stdDev": 0.3917428648,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2459,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10003,6 +10733,7 @@
 				"mean": 1.04137931,
 				"stdDev": 1.174329597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1127,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10020,6 +10751,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.333485055,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10037,6 +10769,7 @@
 				"mean": 0.07949183303,
 				"stdDev": 0.2874200203,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2549,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10054,6 +10787,7 @@
 				"mean": 0.2798548094,
 				"stdDev": 0.6046498415,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2159,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10071,6 +10805,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.3224583193,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10088,6 +10823,7 @@
 				"mean": 0.1978221416,
 				"stdDev": 0.4710057713,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2290,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10105,6 +10841,7 @@
 				"mean": 0.4725952813,
 				"stdDev": 0.7395198677,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1768,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10122,6 +10859,7 @@
 				"mean": 0.1063520871,
 				"stdDev": 0.360398468,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2509,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10139,6 +10877,7 @@
 				"mean": 0.3295825771,
 				"stdDev": 0.6683780568,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2078,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10156,6 +10895,7 @@
 				"mean": 0.08965517241,
 				"stdDev": 0.3348240443,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10173,6 +10913,7 @@
 				"mean": 0.8326678766,
 				"stdDev": 0.9751652829,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1261,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10190,6 +10931,7 @@
 				"mean": 0.6805807623,
 				"stdDev": 0.9738711779,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1527,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10207,6 +10949,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.3300080403,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10224,6 +10967,7 @@
 				"mean": 0.2479128857,
 				"stdDev": 0.56378147,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2225,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10241,6 +10985,7 @@
 				"mean": 1.145190563,
 				"stdDev": 1.285959891,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1049,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10258,6 +11003,7 @@
 				"mean": 0.5978221416,
 				"stdDev": 0.8806009606,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1644,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10275,6 +11021,7 @@
 				"mean": 0.1070780399,
 				"stdDev": 0.3631941271,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2509,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10292,6 +11039,7 @@
 				"mean": 0.0998185118,
 				"stdDev": 0.3352004083,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2509,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10309,6 +11057,7 @@
 				"mean": 0.4235934664,
 				"stdDev": 0.7336027065,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1888,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10326,6 +11075,7 @@
 				"mean": 0.1506352087,
 				"stdDev": 0.8011983738,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2450,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10343,6 +11093,7 @@
 				"mean": 0.1702359347,
 				"stdDev": 0.4432020702,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2354,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10360,6 +11111,7 @@
 				"mean": 0.2471869328,
 				"stdDev": 0.5477774591,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2203,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10377,6 +11129,7 @@
 				"mean": 0.0831215971,
 				"stdDev": 0.3153456631,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2558,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10384,7 +11137,7 @@
 			},
 			{
 				"rank": "R0571",
-				"name": "TXT.2gram(r\u00C3)",
+				"name": "TXT.2gram(r{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -10394,6 +11147,7 @@
 				"mean": 0.2511796733,
 				"stdDev": 0.5127002875,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2156,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10411,6 +11165,7 @@
 				"mean": 0.2613430127,
 				"stdDev": 0.5455089802,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2159,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10428,6 +11183,7 @@
 				"mean": 0.5255898367,
 				"stdDev": 0.865752071,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1766,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10445,6 +11201,7 @@
 				"mean": 0.335753176,
 				"stdDev": 0.6192403027,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2019,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10462,6 +11219,7 @@
 				"mean": 0.2773139746,
 				"stdDev": 0.5515634019,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2116,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10479,6 +11237,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2935983303,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2579,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10496,6 +11255,7 @@
 				"mean": 0.3658802178,
 				"stdDev": 0.6787392873,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2000,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10513,6 +11273,7 @@
 				"mean": 0.2188747731,
 				"stdDev": 0.5008227394,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2248,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10530,6 +11291,7 @@
 				"mean": 0.3695099819,
 				"stdDev": 0.6783771706,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1987,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10547,6 +11309,7 @@
 				"mean": 0.8156079855,
 				"stdDev": 1.067984661,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1382,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10564,6 +11327,7 @@
 				"mean": 0.2362976407,
 				"stdDev": 0.526320045,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2218,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10581,6 +11345,7 @@
 				"mean": 0.3931034483,
 				"stdDev": 0.6883181232,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1939,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10598,6 +11363,7 @@
 				"mean": 0.1172413793,
 				"stdDev": 0.3834749106,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2485,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10615,6 +11381,7 @@
 				"mean": 0.166969147,
 				"stdDev": 0.4448512435,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2365,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10622,7 +11389,7 @@
 			},
 			{
 				"rank": "R0585",
-				"name": "TXT.2gram(t\u00C3)",
+				"name": "TXT.2gram(t{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -10632,6 +11399,7 @@
 				"mean": 0.1695099819,
 				"stdDev": 0.4242379047,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2337,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10649,6 +11417,7 @@
 				"mean": 0.3934664247,
 				"stdDev": 0.6782818038,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1909,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10666,6 +11435,7 @@
 				"mean": 0.1081669691,
 				"stdDev": 0.3511796264,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2492,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10683,6 +11453,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.3223643308,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2582,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10700,6 +11471,7 @@
 				"mean": 0.6029038113,
 				"stdDev": 0.8329809521,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1566,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10717,6 +11489,7 @@
 				"mean": 0.3154264973,
 				"stdDev": 0.619376882,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2069,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10734,6 +11507,7 @@
 				"mean": 0.1451905626,
 				"stdDev": 0.3986928619,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2400,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10751,6 +11525,7 @@
 				"mean": 0.3843920145,
 				"stdDev": 0.6670706492,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1937,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10768,6 +11543,7 @@
 				"mean": 0.0722323049,
 				"stdDev": 0.2893297664,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2576,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10785,6 +11561,7 @@
 				"mean": 0.932123412,
 				"stdDev": 1.098804346,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1205,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10802,6 +11579,7 @@
 				"mean": 0.4845735027,
 				"stdDev": 0.7578013794,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1768,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10819,6 +11597,7 @@
 				"mean": 0.3807622505,
 				"stdDev": 0.7117322238,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1979,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10836,6 +11615,7 @@
 				"mean": 0.1531760436,
 				"stdDev": 0.4308265426,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2403,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10853,6 +11633,7 @@
 				"mean": 0.1480943739,
 				"stdDev": 0.4325996609,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2421,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10870,6 +11651,7 @@
 				"mean": 0.143738657,
 				"stdDev": 0.4090977598,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2413,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10887,6 +11669,7 @@
 				"mean": 0.3872958258,
 				"stdDev": 0.7020207684,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1963,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10904,6 +11687,7 @@
 				"mean": 0.2399274047,
 				"stdDev": 0.5594941926,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2230,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10921,6 +11705,7 @@
 				"mean": 0.08675136116,
 				"stdDev": 0.3189515633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10938,6 +11723,7 @@
 				"mean": 0.1194192377,
 				"stdDev": 0.3480362701,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2447,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10955,6 +11741,7 @@
 				"mean": 0.1284936479,
 				"stdDev": 0.3637440159,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2426,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10962,7 +11749,7 @@
 			},
 			{
 				"rank": "R0605",
-				"name": "TXT.2gram(\u00A0 )",
+				"name": "TXT.2gram({A0} )",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -10972,6 +11759,7 @@
 				"mean": 0.2297640653,
 				"stdDev": 0.4818142312,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2192,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10979,7 +11767,7 @@
 			},
 			{
 				"rank": "R0606",
-				"name": "TXT.2gram(\u00A9 )",
+				"name": "TXT.2gram({A9} )",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -10989,6 +11777,7 @@
 				"mean": 0.2326678766,
 				"stdDev": 0.4952990961,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2200,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -10996,7 +11785,7 @@
 			},
 			{
 				"rank": "R0607",
-				"name": "TXT.2gram(\u00A9e)",
+				"name": "TXT.2gram({A9}e)",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11006,6 +11795,7 @@
 				"mean": 0.1012704174,
 				"stdDev": 0.3369261895,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2505,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11013,7 +11803,7 @@
 			},
 			{
 				"rank": "R0608",
-				"name": "TXT.2gram(\u00A9r)",
+				"name": "TXT.2gram({A9}r)",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11023,6 +11813,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2942966504,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11030,7 +11821,7 @@
 			},
 			{
 				"rank": "R0609",
-				"name": "TXT.2gram(\u00A9s)",
+				"name": "TXT.2gram({A9}s)",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11040,6 +11831,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3310289107,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2489,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11047,7 +11839,7 @@
 			},
 			{
 				"rank": "R0610",
-				"name": "TXT.2gram(\u00A9t)",
+				"name": "TXT.2gram({A9}t)",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11057,6 +11849,7 @@
 				"mean": 0.09509981851,
 				"stdDev": 0.3148380435,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2510,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11064,7 +11857,7 @@
 			},
 			{
 				"rank": "R0611",
-				"name": "TXT.2gram(\u00AAt)",
+				"name": "TXT.2gram({AA}t)",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11074,6 +11867,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2612507399,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2572,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11091,6 +11885,7 @@
 				"mean": 0.2366606171,
 				"stdDev": 0.4893409315,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2178,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11108,6 +11903,7 @@
 				"mean": 0.09364791289,
 				"stdDev": 0.3106335885,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2513,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11125,6 +11921,7 @@
 				"mean": 0.1430127042,
 				"stdDev": 0.3884227469,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2400,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11142,6 +11939,7 @@
 				"mean": 1.081306715,
 				"stdDev": 1.203109597,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1120,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11159,6 +11957,7 @@
 				"mean": 0.1190562613,
 				"stdDev": 0.360957361,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2456,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11176,6 +11975,7 @@
 				"mean": 0.1190562613,
 				"stdDev": 0.3569123214,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2453,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11193,6 +11993,7 @@
 				"mean": 0.1858439201,
 				"stdDev": 0.4447099476,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2302,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11210,6 +12011,7 @@
 				"mean": 0.1150635209,
 				"stdDev": 0.343212571,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2459,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11227,6 +12029,7 @@
 				"mean": 0.1147005445,
 				"stdDev": 0.3532347938,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2470,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11244,6 +12047,7 @@
 				"mean": 0.1092558984,
 				"stdDev": 0.3311498828,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2470,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11261,6 +12065,7 @@
 				"mean": 0.2656987296,
 				"stdDev": 0.5159905913,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2117,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11278,6 +12083,7 @@
 				"mean": 0.1390199637,
 				"stdDev": 0.3818739513,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2403,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11295,6 +12101,7 @@
 				"mean": 0.1016333938,
 				"stdDev": 0.3208103678,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2490,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11312,6 +12119,7 @@
 				"mean": 0.8137931034,
 				"stdDev": 0.913992034,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1248,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11329,6 +12137,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.3075646263,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2537,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11346,6 +12155,7 @@
 				"mean": 0.141923775,
 				"stdDev": 0.3788931267,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2392,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11353,7 +12163,7 @@
 			},
 			{
 				"rank": "R0628",
-				"name": "TXT.3gram( d\u00C3)",
+				"name": "TXT.3gram( d{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -11363,6 +12173,7 @@
 				"mean": 0.1085299456,
 				"stdDev": 0.341103976,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2482,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11380,6 +12191,7 @@
 				"mean": 0.2671506352,
 				"stdDev": 0.5138294831,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2101,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11397,6 +12209,7 @@
 				"mean": 0.0998185118,
 				"stdDev": 0.3196810509,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2497,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11414,6 +12227,7 @@
 				"mean": 0.2105263158,
 				"stdDev": 0.4483867986,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2220,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11431,6 +12245,7 @@
 				"mean": 0.1582577132,
 				"stdDev": 0.4037032014,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2353,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11448,6 +12263,7 @@
 				"mean": 0.08784029038,
 				"stdDev": 0.3214885127,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2539,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11465,6 +12281,7 @@
 				"mean": 0.1985480944,
 				"stdDev": 0.461353722,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2276,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11482,6 +12299,7 @@
 				"mean": 0.3557168784,
 				"stdDev": 0.608290413,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1947,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11499,6 +12317,7 @@
 				"mean": 0.4762250454,
 				"stdDev": 0.7029088487,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1726,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11516,6 +12335,7 @@
 				"mean": 0.09110707804,
 				"stdDev": 0.3060978121,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11533,6 +12353,7 @@
 				"mean": 0.1157894737,
 				"stdDev": 0.3419083616,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2456,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11550,6 +12371,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3138644205,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11567,6 +12389,7 @@
 				"mean": 0.1154264973,
 				"stdDev": 0.3415000399,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2457,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11584,6 +12407,7 @@
 				"mean": 0.2791288566,
 				"stdDev": 0.5294759623,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2082,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11601,6 +12425,7 @@
 				"mean": 0.1880217786,
 				"stdDev": 0.4446106879,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2292,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11618,6 +12443,7 @@
 				"mean": 0.1735027223,
 				"stdDev": 0.415256114,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2316,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11635,6 +12461,7 @@
 				"mean": 0.1197822142,
 				"stdDev": 0.3452934097,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2443,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11652,6 +12479,7 @@
 				"mean": 0.1539019964,
 				"stdDev": 0.3879985189,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2359,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11669,6 +12497,7 @@
 				"mean": 0.1517241379,
 				"stdDev": 0.3907177584,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2369,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11686,6 +12515,7 @@
 				"mean": 0.1484573503,
 				"stdDev": 0.3877811345,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2378,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11703,6 +12533,7 @@
 				"mean": 0.2054446461,
 				"stdDev": 0.4712104852,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2263,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11720,6 +12551,7 @@
 				"mean": 0.2079854809,
 				"stdDev": 0.4571768173,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2239,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11737,6 +12569,7 @@
 				"mean": 0.1056261343,
 				"stdDev": 0.3377424759,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2489,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11754,6 +12587,7 @@
 				"mean": 0.1067150635,
 				"stdDev": 0.3336134299,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2481,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11771,6 +12605,7 @@
 				"mean": 0.1480943739,
 				"stdDev": 0.4359429755,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2416,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11788,6 +12623,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.300265966,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2523,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11805,6 +12641,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.2866010771,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2563,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11822,6 +12659,7 @@
 				"mean": 0.07912885662,
 				"stdDev": 0.2791937506,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11839,6 +12677,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.2774730874,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2537,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11856,6 +12695,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11873,6 +12713,7 @@
 				"mean": 0.1364791289,
 				"stdDev": 0.3697666147,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2404,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11890,6 +12731,7 @@
 				"mean": 0.06969147005,
 				"stdDev": 0.2943011272,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2589,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11907,6 +12749,7 @@
 				"mean": 0.1074410163,
 				"stdDev": 0.3753751707,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2508,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11924,6 +12767,7 @@
 				"mean": 0.1422867514,
 				"stdDev": 0.4295034036,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2436,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11941,6 +12785,7 @@
 				"mean": 0.07622504537,
 				"stdDev": 0.3036336151,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2574,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11958,6 +12803,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3549727392,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11975,6 +12821,7 @@
 				"mean": 0.1110707804,
 				"stdDev": 0.357452339,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -11992,6 +12839,7 @@
 				"mean": 0.07876588022,
 				"stdDev": 0.2938620761,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12009,6 +12857,7 @@
 				"mean": 0.1618874773,
 				"stdDev": 0.4650383686,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2396,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12026,6 +12875,7 @@
 				"mean": 0.2595281307,
 				"stdDev": 0.5493561275,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2175,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12043,6 +12893,7 @@
 				"mean": 0.1698729583,
 				"stdDev": 0.4388152072,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2352,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12060,6 +12911,7 @@
 				"mean": 0.07150635209,
 				"stdDev": 0.2831718509,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2577,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12077,6 +12929,7 @@
 				"mean": 0.077676951,
 				"stdDev": 0.3080157988,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2572,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12094,6 +12947,7 @@
 				"mean": 0.09364791289,
 				"stdDev": 0.3221067439,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2521,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12111,6 +12965,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.3035003733,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2588,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12128,6 +12983,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.2840568108,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2562,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12145,6 +13001,7 @@
 				"mean": 0.1814882033,
 				"stdDev": 0.4671634675,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2333,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12162,6 +13019,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.3160117706,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2505,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12179,6 +13037,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2772422252,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2581,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12196,6 +13055,7 @@
 				"mean": 0.0943738657,
 				"stdDev": 0.3296936899,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12213,6 +13073,7 @@
 				"mean": 0.07332123412,
 				"stdDev": 0.2946523441,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2576,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12230,6 +13091,7 @@
 				"mean": 0.2283121597,
 				"stdDev": 0.4741566787,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2192,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12247,6 +13109,7 @@
 				"mean": 0.08384754991,
 				"stdDev": 0.3174485488,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12264,6 +13127,7 @@
 				"mean": 0.122323049,
 				"stdDev": 0.4067386701,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2484,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12281,6 +13145,7 @@
 				"mean": 0.1727767695,
 				"stdDev": 0.4499478726,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2355,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12298,6 +13163,7 @@
 				"mean": 0.1190562613,
 				"stdDev": 0.360957361,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2461,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12315,6 +13181,7 @@
 				"mean": 0.7589836661,
 				"stdDev": 0.8668036187,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1287,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12332,6 +13199,7 @@
 				"mean": 0.1771324864,
 				"stdDev": 0.4915102644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2372,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12349,6 +13217,7 @@
 				"mean": 0.1411978221,
 				"stdDev": 0.3801203588,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2396,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12366,6 +13235,7 @@
 				"mean": 0.1343012704,
 				"stdDev": 0.3811857181,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2422,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12383,6 +13253,7 @@
 				"mean": 0.122323049,
 				"stdDev": 0.401348513,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2473,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12400,6 +13271,7 @@
 				"mean": 0.1346642468,
 				"stdDev": 0.374814928,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2414,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12417,6 +13289,7 @@
 				"mean": 0.2036297641,
 				"stdDev": 0.4575495778,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2257,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12434,6 +13307,7 @@
 				"mean": 0.431215971,
 				"stdDev": 0.6718923696,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1799,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12451,6 +13325,7 @@
 				"mean": 0.1593466425,
 				"stdDev": 0.3992037556,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2350,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12468,6 +13343,7 @@
 				"mean": 0.1041742287,
 				"stdDev": 0.3294950194,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12485,6 +13361,7 @@
 				"mean": 0.3364791289,
 				"stdDev": 0.5967497713,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1986,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12502,6 +13379,7 @@
 				"mean": 0.1350272232,
 				"stdDev": 0.3712782027,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2410,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12519,6 +13397,7 @@
 				"mean": 0.3168784029,
 				"stdDev": 0.5646466393,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2008,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12536,6 +13415,7 @@
 				"mean": 0.1074410163,
 				"stdDev": 0.3355508293,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2481,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12553,6 +13433,7 @@
 				"mean": 0.1277676951,
 				"stdDev": 0.3599887936,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12570,6 +13451,7 @@
 				"mean": 0.2406533575,
 				"stdDev": 0.4929436099,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2168,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12587,6 +13469,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3138644205,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2519,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12604,6 +13487,7 @@
 				"mean": 0.1096188748,
 				"stdDev": 0.3359279478,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2469,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12611,7 +13495,7 @@
 			},
 			{
 				"rank": "R0702",
-				"name": "TXT.3gram(e \u00C3)",
+				"name": "TXT.3gram(e {C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -12621,6 +13505,7 @@
 				"mean": 0.0943738657,
 				"stdDev": 0.3115809432,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2511,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12638,6 +13523,7 @@
 				"mean": 0.1056261343,
 				"stdDev": 0.3534957881,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2498,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12655,6 +13541,7 @@
 				"mean": 0.0722323049,
 				"stdDev": 0.268507856,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2563,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12672,6 +13559,7 @@
 				"mean": 0.07586206897,
 				"stdDev": 0.2845985026,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2561,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12689,6 +13577,7 @@
 				"mean": 0.143738657,
 				"stdDev": 0.4178761841,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2422,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12706,6 +13595,7 @@
 				"mean": 0.1470054446,
 				"stdDev": 0.423220217,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2415,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12723,6 +13613,7 @@
 				"mean": 0.299092559,
 				"stdDev": 0.553998084,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2052,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12740,6 +13631,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.2916230249,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2568,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12757,6 +13649,7 @@
 				"mean": 0.07876588022,
 				"stdDev": 0.3059647821,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2565,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12774,6 +13667,7 @@
 				"mean": 0.5441016334,
 				"stdDev": 0.8259387557,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1708,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12791,6 +13685,7 @@
 				"mean": 0.287477314,
 				"stdDev": 0.5568637767,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2092,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12808,6 +13703,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2813205312,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2586,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12825,6 +13721,7 @@
 				"mean": 0.7470054446,
 				"stdDev": 1.133015954,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1631,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12842,6 +13739,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.3057114779,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2590,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12859,6 +13757,7 @@
 				"mean": 0.2482758621,
 				"stdDev": 0.4924767253,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2141,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12876,6 +13775,7 @@
 				"mean": 0.1967332123,
 				"stdDev": 0.4764396843,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2296,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12893,6 +13793,7 @@
 				"mean": 0.08529945554,
 				"stdDev": 0.3216081574,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2552,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12910,6 +13811,7 @@
 				"mean": 0.1473684211,
 				"stdDev": 0.4192155933,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2407,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12927,6 +13829,7 @@
 				"mean": 0.077676951,
 				"stdDev": 0.3415440187,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2590,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12944,6 +13847,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.2730793839,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2555,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12961,6 +13865,7 @@
 				"mean": 0.08529945554,
 				"stdDev": 0.326091426,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12978,6 +13883,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.2884326644,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2583,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -12995,6 +13901,7 @@
 				"mean": 0.1738656987,
 				"stdDev": 0.4233297832,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2323,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13012,6 +13919,7 @@
 				"mean": 0.1923774955,
 				"stdDev": 0.4759325271,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2317,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13029,6 +13937,7 @@
 				"mean": 0.1248638838,
 				"stdDev": 0.3709245935,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2450,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13046,6 +13955,7 @@
 				"mean": 0.1237749546,
 				"stdDev": 0.3889549218,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2462,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13063,6 +13973,7 @@
 				"mean": 0.1702359347,
 				"stdDev": 0.4432020702,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2360,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13080,6 +13991,7 @@
 				"mean": 0.08094373866,
 				"stdDev": 0.2870145132,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2540,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13097,6 +14009,7 @@
 				"mean": 0.1858439201,
 				"stdDev": 0.4800362633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2339,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13114,6 +14027,7 @@
 				"mean": 0.2983666062,
 				"stdDev": 0.6251657202,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2122,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13131,6 +14045,7 @@
 				"mean": 0.1941923775,
 				"stdDev": 0.4778608861,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2307,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13148,6 +14063,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3102282712,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2493,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13165,6 +14081,7 @@
 				"mean": 0.2065335753,
 				"stdDev": 0.5236623771,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2308,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13182,6 +14099,7 @@
 				"mean": 0.1038112523,
 				"stdDev": 0.3366914833,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2497,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13199,6 +14117,7 @@
 				"mean": 0.1034482759,
 				"stdDev": 0.3642446085,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2516,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13216,6 +14135,7 @@
 				"mean": 0.1288566243,
 				"stdDev": 0.3928840259,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2452,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13233,6 +14153,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.289865695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2577,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13250,6 +14171,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.3321370977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13267,6 +14189,7 @@
 				"mean": 0.3539019964,
 				"stdDev": 0.6072596366,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1951,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13284,6 +14207,7 @@
 				"mean": 0.1731397459,
 				"stdDev": 0.4574101882,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2362,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13301,6 +14225,7 @@
 				"mean": 0.4969147005,
 				"stdDev": 0.7150758656,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1683,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13318,6 +14243,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.3095773829,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2604,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13335,6 +14261,7 @@
 				"mean": 0.3186932849,
 				"stdDev": 0.6416254585,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2091,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13352,6 +14279,7 @@
 				"mean": 0.09691470054,
 				"stdDev": 0.3349696061,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2521,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13369,6 +14297,7 @@
 				"mean": 0.1401088929,
 				"stdDev": 0.4344167993,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2447,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13386,6 +14315,7 @@
 				"mean": 0.2849364791,
 				"stdDev": 0.5870115227,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2134,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13403,6 +14333,7 @@
 				"mean": 0.08021778584,
 				"stdDev": 0.2983754376,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2552,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13420,6 +14351,7 @@
 				"mean": 0.1274047187,
 				"stdDev": 0.375415532,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2444,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13437,6 +14369,7 @@
 				"mean": 0.08457350272,
 				"stdDev": 0.3540250147,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2570,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13454,6 +14387,7 @@
 				"mean": 0.2341197822,
 				"stdDev": 0.5341318381,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2235,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13471,6 +14405,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3296577223,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2534,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13488,6 +14423,7 @@
 				"mean": 0.07441016334,
 				"stdDev": 0.2746031068,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2559,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13505,6 +14441,7 @@
 				"mean": 0.1368421053,
 				"stdDev": 0.3641914328,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2397,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13522,6 +14459,7 @@
 				"mean": 0.1019963702,
 				"stdDev": 0.3268610099,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2494,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13539,6 +14477,7 @@
 				"mean": 0.1789473684,
 				"stdDev": 0.4815201833,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2355,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13556,6 +14495,7 @@
 				"mean": 0.4522686025,
 				"stdDev": 0.6785468944,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1759,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13573,6 +14513,7 @@
 				"mean": 0.1143375681,
 				"stdDev": 0.3649745366,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2481,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13590,6 +14531,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2873503359,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2576,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13607,6 +14549,7 @@
 				"mean": 0.2315789474,
 				"stdDev": 0.4917661904,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2193,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13624,6 +14567,7 @@
 				"mean": 0.100907441,
 				"stdDev": 0.3564025393,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2524,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13641,6 +14585,7 @@
 				"mean": 0.1382940109,
 				"stdDev": 0.4060834947,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2427,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13658,6 +14603,7 @@
 				"mean": 0.08166969147,
 				"stdDev": 0.3259075389,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2571,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13675,6 +14621,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3360632306,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2511,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13692,6 +14639,7 @@
 				"mean": 0.09655172414,
 				"stdDev": 0.3356156092,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2523,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13709,6 +14657,7 @@
 				"mean": 0.1150635209,
 				"stdDev": 0.3556772451,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2471,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13726,6 +14675,7 @@
 				"mean": 0.08566243194,
 				"stdDev": 0.3094305208,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2542,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13743,6 +14693,7 @@
 				"mean": 0.3441016334,
 				"stdDev": 0.5828123977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1949,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13760,6 +14711,7 @@
 				"mean": 0.09618874773,
 				"stdDev": 0.3479313937,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2534,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13777,6 +14729,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3481312751,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2505,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13794,6 +14747,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.3736640691,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13811,6 +14765,7 @@
 				"mean": 0.1716878403,
 				"stdDev": 0.4475347482,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2353,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13828,6 +14783,7 @@
 				"mean": 0.08493647913,
 				"stdDev": 0.3211395679,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2549,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13845,6 +14801,7 @@
 				"mean": 0.3618874773,
 				"stdDev": 0.6616808013,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1986,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13862,6 +14819,7 @@
 				"mean": 0.1404718693,
 				"stdDev": 0.4124370431,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2428,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13879,6 +14837,7 @@
 				"mean": 0.1578947368,
 				"stdDev": 0.4320700141,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2388,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13896,6 +14855,7 @@
 				"mean": 0.124137931,
 				"stdDev": 0.3883722033,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2465,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13913,6 +14873,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3316857668,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13930,6 +14891,7 @@
 				"mean": 0.09655172414,
 				"stdDev": 0.3268489172,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2516,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13947,6 +14909,7 @@
 				"mean": 0.1092558984,
 				"stdDev": 0.3523908358,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2489,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13964,6 +14927,7 @@
 				"mean": 0.2192377495,
 				"stdDev": 0.5096457612,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2249,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13981,6 +14945,7 @@
 				"mean": 0.09909255898,
 				"stdDev": 0.3553826349,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -13998,6 +14963,7 @@
 				"mean": 0.09038112523,
 				"stdDev": 0.3258355724,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2535,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14005,7 +14971,7 @@
 			},
 			{
 				"rank": "R0784",
-				"name": "TXT.3gram(pr\u00C3)",
+				"name": "TXT.3gram(pr{C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -14015,6 +14981,7 @@
 				"mean": 0.08275862069,
 				"stdDev": 0.28964653,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2538,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14032,6 +14999,7 @@
 				"mean": 0.4366606171,
 				"stdDev": 0.7117620266,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1835,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14049,6 +15017,7 @@
 				"mean": 0.1705989111,
 				"stdDev": 0.461127204,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2368,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14066,6 +15035,7 @@
 				"mean": 0.09147005445,
 				"stdDev": 0.3101135828,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14083,6 +15053,7 @@
 				"mean": 0.1666061706,
 				"stdDev": 0.4043896019,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2329,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14100,6 +15071,7 @@
 				"mean": 0.07949183303,
 				"stdDev": 0.2810347025,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14117,6 +15089,7 @@
 				"mean": 0.1081669691,
 				"stdDev": 0.3542668323,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2493,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14134,6 +15107,7 @@
 				"mean": 0.198185118,
 				"stdDev": 0.5230758276,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2323,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14151,6 +15125,7 @@
 				"mean": 0.3974591652,
 				"stdDev": 0.6664863618,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1890,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14168,6 +15143,7 @@
 				"mean": 0.0834845735,
 				"stdDev": 0.3192542058,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2559,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14185,6 +15161,7 @@
 				"mean": 0.1618874773,
 				"stdDev": 0.4587516341,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2388,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14202,6 +15179,7 @@
 				"mean": 0.1887477314,
 				"stdDev": 0.5230967332,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2364,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14219,6 +15197,7 @@
 				"mean": 0.09872958258,
 				"stdDev": 0.3529217193,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14236,6 +15215,7 @@
 				"mean": 0.09001814882,
 				"stdDev": 0.3352683997,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14253,6 +15233,7 @@
 				"mean": 0.09655172414,
 				"stdDev": 0.3132391752,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2504,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14270,6 +15251,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.2972632728,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2569,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14287,6 +15269,7 @@
 				"mean": 0.165154265,
 				"stdDev": 0.4208084905,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2352,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14304,6 +15287,7 @@
 				"mean": 0.1292196007,
 				"stdDev": 0.3723656762,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2433,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14321,6 +15305,7 @@
 				"mean": 0.1343012704,
 				"stdDev": 0.3849757953,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2425,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14338,6 +15323,7 @@
 				"mean": 0.289292196,
 				"stdDev": 0.5646688057,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2100,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14355,6 +15341,7 @@
 				"mean": 0.1121597096,
 				"stdDev": 0.3420566863,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2470,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14372,6 +15359,7 @@
 				"mean": 0.1676950998,
 				"stdDev": 0.4150196741,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2335,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14389,6 +15377,7 @@
 				"mean": 0.08566243194,
 				"stdDev": 0.2962461245,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14406,6 +15395,7 @@
 				"mean": 0.1771324864,
 				"stdDev": 0.4400789183,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2327,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14423,6 +15413,7 @@
 				"mean": 0.1012704174,
 				"stdDev": 0.3237403642,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2495,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14430,7 +15421,7 @@
 			},
 			{
 				"rank": "R0809",
-				"name": "TXT.3gram(s \u00C3)",
+				"name": "TXT.3gram(s {C3})",
 				"type": "Numerical",
 				"level": 0,
 				"parts": 1,
@@ -14440,6 +15431,7 @@
 				"mean": 0.08203266788,
 				"stdDev": 0.3009124762,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14457,6 +15449,7 @@
 				"mean": 0.1716878403,
 				"stdDev": 0.4276265699,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2335,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14474,6 +15467,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.3021080346,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2575,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14491,6 +15485,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.3243969512,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14508,6 +15503,7 @@
 				"mean": 0.133938294,
 				"stdDev": 0.3836858068,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2429,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14525,6 +15521,7 @@
 				"mean": 0.1252268603,
 				"stdDev": 0.3968097521,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2466,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14542,6 +15539,7 @@
 				"mean": 0.1361161525,
 				"stdDev": 0.3829186049,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2420,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14559,6 +15557,7 @@
 				"mean": 0.102722323,
 				"stdDev": 0.3428976463,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2506,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14576,6 +15575,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2759298799,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2580,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14593,6 +15593,7 @@
 				"mean": 0.1313974592,
 				"stdDev": 0.3998339582,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2448,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14610,6 +15611,7 @@
 				"mean": 0.08130671506,
 				"stdDev": 0.2937876413,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14627,6 +15629,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.265386148,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2575,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14644,6 +15647,7 @@
 				"mean": 0.1843920145,
 				"stdDev": 0.4403961493,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2302,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14661,6 +15665,7 @@
 				"mean": 0.1382940109,
 				"stdDev": 0.3773582747,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2403,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14678,6 +15683,7 @@
 				"mean": 0.2326678766,
 				"stdDev": 0.50473615,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2203,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14695,6 +15701,7 @@
 				"mean": 0.1139745917,
 				"stdDev": 0.3753821903,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2492,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14712,6 +15719,7 @@
 				"mean": 0.1647912886,
 				"stdDev": 0.4702336582,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2388,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14729,6 +15737,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.3578133708,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14746,6 +15755,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3604258849,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2512,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14763,6 +15773,7 @@
 				"mean": 0.2054446461,
 				"stdDev": 0.5230506391,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2308,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14780,6 +15791,7 @@
 				"mean": 0.1023593466,
 				"stdDev": 0.3371357222,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2502,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14797,6 +15809,7 @@
 				"mean": 0.1041742287,
 				"stdDev": 0.3316909306,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2491,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14814,6 +15827,7 @@
 				"mean": 0.1872958258,
 				"stdDev": 0.4633012425,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2319,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14831,6 +15845,7 @@
 				"mean": 0.07041742287,
 				"stdDev": 0.2736716938,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2574,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14848,6 +15863,7 @@
 				"mean": 0.124137931,
 				"stdDev": 0.3836706976,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2463,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14865,6 +15881,7 @@
 				"mean": 0.1502722323,
 				"stdDev": 0.3977191304,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2379,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14882,6 +15899,7 @@
 				"mean": 0.3096188748,
 				"stdDev": 0.5550935893,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2016,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14899,6 +15917,7 @@
 				"mean": 0.1197822142,
 				"stdDev": 0.3637233694,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2460,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14916,6 +15935,7 @@
 				"mean": 0.17676951,
 				"stdDev": 0.4339968506,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2321,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14933,6 +15953,7 @@
 				"mean": 0.1277676951,
 				"stdDev": 0.3786621647,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2446,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14950,6 +15971,7 @@
 				"mean": 0.3386569873,
 				"stdDev": 0.6033882044,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1979,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14967,6 +15989,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.3162168291,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2592,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -14984,6 +16007,7 @@
 				"mean": 0.06932849365,
 				"stdDev": 0.2837129104,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2584,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15001,6 +16025,7 @@
 				"mean": 0.2137931034,
 				"stdDev": 0.4808778505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2245,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15018,6 +16043,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.3299441559,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15035,6 +16061,7 @@
 				"mean": 0.09292196007,
 				"stdDev": 0.3049572153,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2510,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15052,6 +16079,7 @@
 				"mean": 0.09183303085,
 				"stdDev": 0.3470206316,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2549,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15069,6 +16097,7 @@
 				"mean": 0.1078039927,
 				"stdDev": 0.3689304767,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2509,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15086,6 +16115,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3266134236,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2484,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15103,6 +16133,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.2898443314,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2567,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15120,6 +16151,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.2944707479,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15137,6 +16169,7 @@
 				"mean": 0.1067150635,
 				"stdDev": 0.3526543226,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2493,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15154,6 +16187,7 @@
 				"mean": 0.2297640653,
 				"stdDev": 0.4818142312,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2192,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15171,6 +16205,7 @@
 				"mean": 0.2323049002,
 				"stdDev": 0.4951030118,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2201,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15188,6 +16223,7 @@
 				"mean": 0.1012704174,
 				"stdDev": 0.3369261895,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2505,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15205,6 +16241,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2942966504,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15222,6 +16259,7 @@
 				"mean": 0.1045372051,
 				"stdDev": 0.3310289107,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2489,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15239,6 +16277,7 @@
 				"mean": 0.09509981851,
 				"stdDev": 0.3148380435,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2510,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15256,6 +16295,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2612507399,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2572,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15273,6 +16313,7 @@
 				"mean": 0.07114337568,
 				"stdDev": 0.2667651879,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15290,6 +16331,7 @@
 				"mean": 0.09546279492,
 				"stdDev": 0.315304298,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2509,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15307,6 +16349,7 @@
 				"mean": 0.1085299456,
 				"stdDev": 0.3302913779,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2473,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15324,6 +16367,7 @@
 				"mean": 0.09364791289,
 				"stdDev": 0.3023434415,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2506,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15341,6 +16385,7 @@
 				"mean": 0.6047186933,
 				"stdDev": 0.7772954781,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1507,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15358,6 +16403,7 @@
 				"mean": 0.1270417423,
 				"stdDev": 0.3740858866,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2440,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15375,6 +16421,7 @@
 				"mean": 0.1332123412,
 				"stdDev": 0.3694853785,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2415,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15392,6 +16439,7 @@
 				"mean": 0.1059891107,
 				"stdDev": 0.3370907775,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2488,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15409,6 +16457,7 @@
 				"mean": 0.1872958258,
 				"stdDev": 0.4375129156,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2289,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15426,6 +16475,7 @@
 				"mean": 0.09219600726,
 				"stdDev": 0.3075470626,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2516,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15443,6 +16493,7 @@
 				"mean": 0.2003629764,
 				"stdDev": 0.4383601007,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2244,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15460,6 +16511,7 @@
 				"mean": 0.1001814882,
 				"stdDev": 0.3212667245,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2495,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15477,6 +16529,7 @@
 				"mean": 0.06969147005,
 				"stdDev": 0.2893256681,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2583,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15494,6 +16547,7 @@
 				"mean": 0.3277676951,
 				"stdDev": 0.5807016756,
 				"missingNumber": 0,
+				"sparseMissingNumber": 1997,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15511,6 +16565,7 @@
 				"mean": 0.256261343,
 				"stdDev": 0.5151355228,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2138,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15528,6 +16583,7 @@
 				"mean": 0.1931034483,
 				"stdDev": 0.4537678378,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2289,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15545,6 +16601,7 @@
 				"mean": 0.1237749546,
 				"stdDev": 0.3775903832,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2458,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15562,6 +16619,7 @@
 				"mean": 0.08566243194,
 				"stdDev": 0.297468854,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2533,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15579,6 +16637,7 @@
 				"mean": 0.1880217786,
 				"stdDev": 0.4510945425,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2295,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15596,6 +16655,7 @@
 				"mean": 0.07078039927,
 				"stdDev": 0.2661807732,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15613,6 +16673,7 @@
 				"mean": 0.0943738657,
 				"stdDev": 0.3196315909,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15630,6 +16691,7 @@
 				"mean": 0.07368421053,
 				"stdDev": 0.2747987914,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2562,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15647,6 +16709,7 @@
 				"mean": 0.1001814882,
 				"stdDev": 0.3189990637,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2495,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15664,6 +16727,7 @@
 				"mean": 0.1165154265,
 				"stdDev": 0.3562246829,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2466,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15681,6 +16745,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2955274458,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2530,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15698,6 +16763,7 @@
 				"mean": 0.2079854809,
 				"stdDev": 0.4571768173,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2239,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15715,6 +16781,7 @@
 				"mean": 0.09618874773,
 				"stdDev": 0.3173792306,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2508,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15732,6 +16799,7 @@
 				"mean": 0.07368421053,
 				"stdDev": 0.2826129733,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2567,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15749,6 +16817,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15766,6 +16835,7 @@
 				"mean": 0.1263157895,
 				"stdDev": 0.4112934338,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2475,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15783,6 +16853,7 @@
 				"mean": 0.1114337568,
 				"stdDev": 0.383313397,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2499,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15800,6 +16871,7 @@
 				"mean": 0.1350272232,
 				"stdDev": 0.3633729232,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2403,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15817,6 +16889,7 @@
 				"mean": 0.09038112523,
 				"stdDev": 0.3015357544,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15834,6 +16907,7 @@
 				"mean": 0.1005444646,
 				"stdDev": 0.342484349,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2512,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15851,6 +16925,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2849968147,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2576,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15868,6 +16943,7 @@
 				"mean": 0.1030852995,
 				"stdDev": 0.3390623213,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2501,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15885,6 +16961,7 @@
 				"mean": 0.15353902,
 				"stdDev": 0.4005681059,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2372,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15902,6 +16979,7 @@
 				"mean": 0.1313974592,
 				"stdDev": 0.3859765562,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2435,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15919,6 +16997,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.2814895489,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2559,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15936,6 +17015,7 @@
 				"mean": 0.2275862069,
 				"stdDev": 0.4752698911,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2192,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15953,6 +17033,7 @@
 				"mean": 0.07912885662,
 				"stdDev": 0.2804908255,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2545,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15970,6 +17051,7 @@
 				"mean": 0.1208711434,
 				"stdDev": 0.3516876136,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2446,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -15987,6 +17069,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.2988387202,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2520,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16004,6 +17087,7 @@
 				"mean": 0.09909255898,
 				"stdDev": 0.309526734,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2491,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16021,6 +17105,7 @@
 				"mean": 0.06860254083,
 				"stdDev": 0.2626364444,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2573,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16038,6 +17123,7 @@
 				"mean": 0.1067150635,
 				"stdDev": 0.3346996765,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2483,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16055,6 +17141,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.2766761319,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2562,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16072,6 +17159,7 @@
 				"mean": 0.1343012704,
 				"stdDev": 0.4051880117,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2445,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16089,6 +17177,7 @@
 				"mean": 0.1299455535,
 				"stdDev": 0.3966646294,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2451,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16106,6 +17195,7 @@
 				"mean": 0.287477314,
 				"stdDev": 0.5342423328,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2071,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16123,6 +17213,7 @@
 				"mean": 0.08275862069,
 				"stdDev": 0.311387641,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2554,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16140,6 +17231,7 @@
 				"mean": 0.07332123412,
 				"stdDev": 0.279479105,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2566,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16157,6 +17249,7 @@
 				"mean": 0.1215970962,
 				"stdDev": 0.3715201386,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2462,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16174,6 +17267,7 @@
 				"mean": 0.09509981851,
 				"stdDev": 0.3182779479,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2514,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16191,6 +17285,7 @@
 				"mean": 0.1382940109,
 				"stdDev": 0.3773582747,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2404,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16208,6 +17303,7 @@
 				"mean": 0.190199637,
 				"stdDev": 0.4737522116,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2316,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16225,6 +17321,7 @@
 				"mean": 0.1219600726,
 				"stdDev": 0.3689497606,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2455,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16242,6 +17339,7 @@
 				"mean": 0.09001814882,
 				"stdDev": 0.3174738648,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2532,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16259,6 +17357,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3316857668,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16276,6 +17375,7 @@
 				"mean": 0.2497277677,
 				"stdDev": 0.5416206426,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2196,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16293,6 +17393,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3159938425,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2542,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16310,6 +17411,7 @@
 				"mean": 0.1132486388,
 				"stdDev": 0.3598075835,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2481,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16327,6 +17429,7 @@
 				"mean": 0.08929219601,
 				"stdDev": 0.3060396993,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16344,6 +17447,7 @@
 				"mean": 0.2029038113,
 				"stdDev": 0.4966591726,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2295,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16361,6 +17465,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.2696345505,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2551,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16378,6 +17483,7 @@
 				"mean": 0.08130671506,
 				"stdDev": 0.2811612527,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2537,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16395,6 +17501,7 @@
 				"mean": 0.1041742287,
 				"stdDev": 0.3148485053,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2476,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16412,6 +17519,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.3134098968,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2544,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16429,6 +17537,7 @@
 				"mean": 0.06969147005,
 				"stdDev": 0.2791087954,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2580,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16446,6 +17555,7 @@
 				"mean": 0.07477313975,
 				"stdDev": 0.2842487684,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2565,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16463,6 +17573,7 @@
 				"mean": 0.1891107078,
 				"stdDev": 0.4542492745,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2291,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16480,6 +17591,7 @@
 				"mean": 0.1067150635,
 				"stdDev": 0.3400788695,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2487,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16497,6 +17609,7 @@
 				"mean": 0.09219600726,
 				"stdDev": 0.3389865402,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2541,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16514,6 +17627,7 @@
 				"mean": 0.09292196007,
 				"stdDev": 0.3200566977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2524,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16531,6 +17645,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.310197267,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2538,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16548,6 +17663,7 @@
 				"mean": 0.1847549909,
 				"stdDev": 0.4762831402,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2332,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16565,6 +17681,7 @@
 				"mean": 0.2664246824,
 				"stdDev": 0.517723722,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2109,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16582,6 +17699,7 @@
 				"mean": 0.09147005445,
 				"stdDev": 0.3101135828,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2521,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16599,6 +17717,7 @@
 				"mean": 0.08421052632,
 				"stdDev": 0.2904800195,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2533,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16616,6 +17735,7 @@
 				"mean": 0.09655172414,
 				"stdDev": 0.3616443799,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2535,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16633,6 +17753,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.3321370977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16650,6 +17771,7 @@
 				"mean": 0.1633393829,
 				"stdDev": 0.4236635987,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2361,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16667,6 +17789,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2942966504,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16684,6 +17807,7 @@
 				"mean": 0.0889292196,
 				"stdDev": 0.3031667952,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2525,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16701,6 +17825,7 @@
 				"mean": 0.1059891107,
 				"stdDev": 0.329467028,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2482,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16718,6 +17843,7 @@
 				"mean": 0.077676951,
 				"stdDev": 0.2821856184,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2551,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16735,6 +17861,7 @@
 				"mean": 0.07549909256,
 				"stdDev": 0.3166843819,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2585,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16752,6 +17879,7 @@
 				"mean": 0.2050816697,
 				"stdDev": 0.5228460634,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2309,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16769,6 +17897,7 @@
 				"mean": 0.1005444646,
 				"stdDev": 0.3349833722,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2507,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16786,6 +17915,7 @@
 				"mean": 0.1245009074,
 				"stdDev": 0.3656266226,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2441,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16803,6 +17933,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3080277754,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2515,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16820,6 +17951,7 @@
 				"mean": 0.110707804,
 				"stdDev": 0.3350293861,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2469,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16837,6 +17969,7 @@
 				"mean": 0.08166969147,
 				"stdDev": 0.2905806937,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2543,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16854,6 +17987,7 @@
 				"mean": 0.09147005445,
 				"stdDev": 0.2993941531,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2512,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16871,6 +18005,7 @@
 				"mean": 0.1451905626,
 				"stdDev": 0.3913417633,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2393,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16888,6 +18023,7 @@
 				"mean": 0.1201451906,
 				"stdDev": 0.3610993207,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2455,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16905,6 +18041,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.2994808327,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16922,6 +18059,7 @@
 				"mean": 0.1920145191,
 				"stdDev": 0.4522275255,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2291,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16939,6 +18077,7 @@
 				"mean": 0.08239564428,
 				"stdDev": 0.2916230249,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2541,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16956,6 +18095,7 @@
 				"mean": 0.1655172414,
 				"stdDev": 0.427088288,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2350,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16973,6 +18113,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.3062505745,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2529,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -16990,6 +18131,7 @@
 				"mean": 0.08820326679,
 				"stdDev": 0.3009763943,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17007,6 +18149,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2955274458,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2530,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17024,6 +18167,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17041,6 +18185,7 @@
 				"mean": 0.07840290381,
 				"stdDev": 0.2958055063,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2559,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17058,6 +18203,7 @@
 				"mean": 0.08747731397,
 				"stdDev": 0.3321370977,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17075,6 +18221,7 @@
 				"mean": 0.1001814882,
 				"stdDev": 0.3420605381,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2513,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17092,6 +18239,7 @@
 				"mean": 0.08602540835,
 				"stdDev": 0.2918194866,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2526,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17109,6 +18257,7 @@
 				"mean": 0.07513611615,
 				"stdDev": 0.274405362,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2556,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17126,6 +18275,7 @@
 				"mean": 0.1673321234,
 				"stdDev": 0.4067755956,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2327,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17143,6 +18293,7 @@
 				"mean": 0.1136116152,
 				"stdDev": 0.3415771919,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2464,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17160,6 +18311,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3048971567,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2558,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17177,6 +18329,7 @@
 				"mean": 0.1292196007,
 				"stdDev": 0.3959861325,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2453,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17194,6 +18347,7 @@
 				"mean": 0.08965517241,
 				"stdDev": 0.3005470949,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17211,6 +18365,7 @@
 				"mean": 0.08856624319,
 				"stdDev": 0.3155899823,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2536,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17228,6 +18383,7 @@
 				"mean": 0.08203266788,
 				"stdDev": 0.3056994105,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17245,6 +18401,7 @@
 				"mean": 0.1346642468,
 				"stdDev": 0.374814928,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2417,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17262,6 +18419,7 @@
 				"mean": 0.08529945554,
 				"stdDev": 0.3124486908,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2546,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17279,6 +18437,7 @@
 				"mean": 0.07731397459,
 				"stdDev": 0.2829274778,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2554,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17296,6 +18455,7 @@
 				"mean": 0.07622504537,
 				"stdDev": 0.287673401,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2562,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17313,6 +18473,7 @@
 				"mean": 0.145553539,
 				"stdDev": 0.4044368408,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2398,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17330,6 +18491,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3316857668,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17347,6 +18509,7 @@
 				"mean": 0.1299455535,
 				"stdDev": 0.3711362315,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2431,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17364,6 +18527,7 @@
 				"mean": 0.08384754991,
 				"stdDev": 0.2961527148,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2539,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17381,6 +18545,7 @@
 				"mean": 0.09945553539,
 				"stdDev": 0.3248616533,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2502,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17398,6 +18563,7 @@
 				"mean": 0.09945553539,
 				"stdDev": 0.3336805602,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2510,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17415,6 +18581,7 @@
 				"mean": 0.08457350272,
 				"stdDev": 0.2859659809,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2528,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17432,6 +18599,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2690852581,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2562,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17449,6 +18617,7 @@
 				"mean": 0.07695099819,
 				"stdDev": 0.2823844468,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2555,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17466,6 +18635,7 @@
 				"mean": 0.1451905626,
 				"stdDev": 0.4041184419,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2399,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17483,6 +18653,7 @@
 				"mean": 0.08711433757,
 				"stdDev": 0.3316857668,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17500,6 +18671,7 @@
 				"mean": 0.07404718693,
 				"stdDev": 0.2727119791,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2559,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17517,6 +18689,7 @@
 				"mean": 0.09255898367,
 				"stdDev": 0.3115428844,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2518,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17534,6 +18707,7 @@
 				"mean": 0.08784029038,
 				"stdDev": 0.3146412988,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2538,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17551,6 +18725,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3037043354,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17568,6 +18743,7 @@
 				"mean": 0.08203266788,
 				"stdDev": 0.3056994105,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2553,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17585,6 +18761,7 @@
 				"mean": 0.07586206897,
 				"stdDev": 0.2871379691,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2563,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17602,6 +18779,7 @@
 				"mean": 0.07186932849,
 				"stdDev": 0.2679287178,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2564,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17619,6 +18797,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3037043354,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17636,6 +18815,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3037043354,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17653,6 +18833,7 @@
 				"mean": 0.07259528131,
 				"stdDev": 0.2809634344,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2571,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17670,6 +18851,7 @@
 				"mean": 0.08058076225,
 				"stdDev": 0.3037043354,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2557,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -17687,6 +18869,7 @@
 				"mean": 0.07114337568,
 				"stdDev": 0.2787422479,
 				"missingNumber": 0,
+				"sparseMissingNumber": 2575,
 				"constructionCost": 0.693147,
 				"preparationCost": 21.9739,
 				"dataCost": 3424.3,
@@ -21729,7 +22912,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.1gram(\u20AC)",
+							"variable": "TXT.1gram({80})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -21810,7 +22993,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.2gram(\u00E2\u20AC)",
+							"variable": "TXT.2gram({E280})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -22053,7 +23236,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.1gram(\u00E2)",
+							"variable": "TXT.1gram({E2})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -22219,7 +23402,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.1gram(\u2122)",
+							"variable": "TXT.1gram({99})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -22246,7 +23429,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.2gram(\u20AC\u2122)",
+							"variable": "TXT.2gram({8099})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -22300,7 +23483,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.1gram(\u00C2)",
+							"variable": "TXT.1gram({C2})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -26862,7 +28045,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.2gram( \u00C3)",
+							"variable": "TXT.2gram( {C3})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -27240,7 +28423,7 @@
 					"isSupervised": true,
 					"dimensions": [
 						{
-							"variable": "TXT.1gram(\u00C3)",
+							"variable": "TXT.1gram({C3})",
 							"type": "Numerical",
 							"partitionType": "Intervals",
 							"partition": [
@@ -27561,17 +28744,5 @@
 			}
 		}
 	},
-	"khiops_encoding": "colliding_ansi_utf8",
-	"ansi_chars": [
-		"\u20AC",
-		"\u2122",
-		"\u00A0",
-		"\u00A7",
-		"\u00A8",
-		"\u00A9",
-		"\u00AA",
-		"\u00C2",
-		"\u00C3",
-		"\u00E2"
-	]
+	"khiops_encoding": "utf8"
 }
diff --git a/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj b/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj
index f39090ba..5cf3d10a 100644
--- a/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj
+++ b/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.6i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"logs": [
 		{
@@ -35,7 +35,9 @@
 			"targetDescriptiveStats": {
 				"values": 0,
 				"mode": "",
-				"modeFrequency": 0
+				"modeFrequency": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": [],
diff --git a/tests/resources/analysis_results/ref_json_reports/Greek.khj b/tests/resources/analysis_results/ref_json_reports/Greek.khj
index d3e4a890..b89124f8 100644
--- a/tests/resources/analysis_results/ref_json_reports/Greek.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Greek.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -125,7 +125,9 @@
 			"targetDescriptiveStats": {
 				"values": 2,
 				"mode": "ASCII",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ASCII","UTF8 Greek"],
@@ -133,8 +135,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -156,6 +160,8 @@
 				"values": 2,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 6.13404,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/Iris2D.khj b/tests/resources/analysis_results/ref_json_reports/Iris2D.khj
index f6f2471c..04c83ea1 100644
--- a/tests/resources/analysis_results/ref_json_reports/Iris2D.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Iris2D.khj
@@ -1,2448 +1,2449 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "Iris-setosa"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"variables": 4
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"variables": 1
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"selectedVariables": [
-					{
-						"preparedName": "PClass2",
-						"name": "Class2",
-						"level": 0.473086,
-						"weight": 0.507812,
-						"importance": 0.490142
-					},
-					{
-						"preparedName": "PPetalLength",
-						"name": "PetalLength",
-						"level": 0.634896,
-						"weight": 0.164062,
-						"importance": 0.322742
-					},
-					{
-						"preparedName": "PClass1",
-						"name": "Class1",
-						"level": 0.440354,
-						"weight": 0.210938,
-						"importance": 0.304774
-					},
-					{
-						"preparedName": "PLowerPetalLength",
-						"name": "LowerPetalLength",
-						"level": 0.446496,
-						"weight": 0.171875,
-						"importance": 0.277023
-					}
-				]
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "Iris-setosa"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.98326,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.969697,
-				"compression": 0.884895,
-				"auc": 0.983648
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,37,0],
-						[0,0,31]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,36,2],
-						[31,0,0],
-						[0,1,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.253485,0.50697,0.760455,1.01394,1.26743,1.52091,1.7744,2.02788,2.28137,2.53485,2.78834,3.04182,3.29531,3.54879,3.80228,4.05576,4.30925,4.56273,4.81622,5.0697,5.32319,5.57667,5.83016,6.08364,6.33713,6.59061,6.8441,7.09758,7.35107,7.60455,7.85804,8.11152,8.36501,8.61849,8.87198,9.12546,9.37895,9.63243,9.88592,10.1394,10.3929,10.6464,10.8999,11.1533,11.4068,11.6603,11.9138,12.1673,12.4208,12.6743,12.9277,13.1812,13.4347,13.6882,13.9417,14.1952,14.4486,14.7021,14.9556,15.2091,15.4626,15.7161,15.9696,16.223,16.4765,16.73,16.9835,17.237,17.4905,17.744,17.9974,18.2509,18.5044,18.7579,19.0114,19.2649,19.5183,19.7718,20.0253,20.2788,20.5323,20.7858,21.0393,21.2927,21.5462,21.7997,22.0532,22.3067,22.5602,22.8137,23.0671,23.3206,23.5741,23.8276,24.0811,24.3346,24.5881,24.8415,25.095,25.3485,25.602,25.8555,26.109,26.3624,26.6159,26.8694,27.1229,27.3764,27.6299,27.8834,28.1368,28.3903,28.6438,28.8973,29.1508,29.4043,29.6578,29.9112,30.1647,30.4182,30.6717,30.9252,31.1787,31.4321,31.6856,31.9391,32.1926,32.4461,32.6996,32.9531,33.2065,33.46,33.7135,33.967,34.2205,34.474,34.7275,34.9809,35.2344,35.4879,35.7414,35.9949,36.2484,36.5018,36.7553,37.0088,37.2623,37.5158,37.7693,38.0228,38.2762,38.5297,38.7832,39.0367,39.2902,39.5437,39.7972,40.0506,40.3041,40.5576,40.8111,41.0646,41.3181,41.5716,41.825,42.0785,42.332,42.5855,42.839,43.0925,43.3459,43.5994,43.8529,44.1064,44.3599,44.6134,44.8669,45.1203,45.3738,45.6273,45.8808,46.1343,46.3878,46.6413,46.8947,47.1482,47.4017,47.6552,47.9087,48.1622,48.4156,48.6691,48.9226,49.1761,49.4296,49.6831,49.9366,50.19,50.4435,50.697,50.9505,51.204,51.4575,51.711,51.9644,52.2179,52.4714,52.7249,52.9784,53.2319,53.4853,53.7388,53.9923,54.2458,54.4993,54.7528,55.0063,55.2597,55.5132,55.7667,56.0202,56.2737,56.5272,56.7807,57.0341,57.2876,57.5411,57.7946,58.0481,58.3016,58.555,58.8085,59.062,59.3155,59.569,59.8225,60.076,60.3294,60.5829,60.8364,61.0899,61.3434,61.5969,61.8504,62.1038,62.3573,62.6108,62.8643,63.1178,63.3713,63.6248,63.8782,64.1317,64.3852,64.6387,64.8922,65.1457,65.3991,65.6526,65.9061,66.1596,66.4131,66.6666,66.9201,67.1735,67.427,67.6805,67.934,68.1875,68.441,68.6945,68.9479,69.2014,69.4549,69.7084,69.9619,70.2154,70.4688,70.7223,70.9758,71.2293,71.4828,71.7363,71.9898,72.2432,72.4967,72.7502,73.0037,73.2572,73.5107,73.7642,74.0176,74.2711,74.5246,74.7781,75.0316,75.2851,75.5385,75.792,76.0455,76.299,76.5525,76.806,77.0595,77.3129,77.5664,77.8199,78.0734,78.3269,78.5804,78.8339,79.0873,79.3408,79.5943,79.8478,80.1013,80.3548,80.6083,80.8617,81.1152,81.3687,81.6222,81.8757,82.1292,82.3826,82.6361,82.8896,83.1431,83.3966,83.6501,83.9036,84.157,84.4105,84.664,84.9175,85.171,85.4245,85.678,85.9314,86.1849,86.4384,86.6919,86.9454,87.1989,87.4523,87.7058,87.9593,88.2128,88.4663,88.7198,88.9733,89.2267,89.4802,89.7337,89.9872,90.2407,90.4942,90.7477,91.0011,91.2546,91.5081,91.7616,92.0151,92.2686,92.522,92.7755,93.029,93.2825,93.536,93.7895,94.043,94.2964,94.5499,94.8034,95.0569,95.3104,95.5639,95.8174,96.0708,96.3243,96.5778,96.8313,97.0848,97.2987,97.3077,97.3166,97.3255,97.3344,97.3433,97.3523,97.3612,97.3701,97.379,97.3879,97.3968,97.4058,97.4147,97.4236,97.4325,97.4414,97.4504,97.4593,97.4682,97.4771,97.486,97.495,97.5039,97.5128,97.5217,97.5306,97.5395,97.5485,97.5574,97.5663,97.5752,97.5841,97.5931,97.602,97.6109,97.6198,97.6287,97.6377,97.6466,97.6555,97.6644,97.6733,97.6823,97.6912,97.7001,97.709,97.7179,97.7268,97.7358,97.7447,97.7536,97.7625,97.7714,97.7804,97.7893,97.7982,97.8071,97.816,97.825,97.8339,97.8428,97.8517,97.8606,97.8695,97.8785,97.8874,97.8963,97.9052,97.9141,97.9231,97.932,97.9409,97.9498,97.9587,97.9677,97.9766,97.9855,97.9944,98.0033,98.0123,98.0212,98.0301,98.039,98.0479,98.0568,98.0658,98.0747,98.0836,98.0925,98.1014,98.1104,98.1193,98.1282,98.1371,98.146,98.155,98.1639,98.1728,98.1817,98.1906,98.1995,98.2085,98.2174,98.2263,98.2352,98.2441,98.2531,98.262,98.2709,98.2798,98.2887,98.2977,98.3066,98.3155,98.3244,98.3333,98.3423,98.3512,98.3601,98.369,98.3779,98.3868,98.3958,98.4047,98.4136,98.4225,98.4314,98.4404,98.4493,98.4582,98.4671,98.476,98.485,98.4939,98.5028,98.5117,98.5206,98.5295,98.5385,98.5474,98.5563,98.5652,98.5741,98.5831,98.592,98.6009,98.6098,98.6187,98.6277,98.6366,98.6455,98.6544,98.6633,98.6723,98.6812,98.6901,98.699,98.7079,98.7168,98.7258,98.7347,98.7436,98.7525,98.7614,98.7704,98.7793,98.7882,98.7971,98.806,98.815,98.8239,98.8328,98.8417,98.8506,98.8595,98.8685,98.8774,98.8863,98.8952,98.9041,98.9131,98.922,98.9309,98.9398,98.9487,98.9577,98.9666,98.9755,98.9844,98.9933,99.0023,99.0112,99.0201,99.029,99.0379,99.0468,99.0558,99.0647,99.0736,99.0825,99.0914,99.1004,99.1093,99.1182,99.1271,99.136,99.145,99.1539,99.1628,99.1717,99.1806,99.1895,99.1985,99.2074,99.2163,99.2252,99.2341,99.2431,99.252,99.2609,99.2698,99.2787,99.2877,99.2966,99.3055,99.3144,99.3233,99.3323,99.3412,99.3501,99.359,99.3679,99.3768,99.3858,99.3947,99.4036,99.4125,99.4214,99.4304,99.4393,99.4482,99.4571,99.466,99.475,99.4839,99.4928,99.5017,99.5106,99.5195,99.5285,99.5374,99.5463,99.5552,99.5641,99.5731,99.582,99.5909,99.5998,99.6087,99.6177,99.6266,99.6355,99.6444,99.6533,99.6623,99.6712,99.6801,99.689,99.6979,99.7068,99.7158,99.7247,99.7336,99.7425,99.7514,99.7604,99.7693,99.7782,99.7871,99.796,99.805,99.8139,99.8228,99.8317,99.8406,99.8495,99.8585,99.8674,99.8763,99.8852,99.8941,99.9031,99.912,99.9209,99.9298,99.9387,99.9477,99.9566,99.9655,99.9744,99.9833,99.9923,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.30871,0.617419,0.926129,1.23484,1.54355,1.85226,2.16097,2.46968,2.77839,3.0871,3.39581,3.70452,4.01323,4.32194,4.63065,4.93935,5.24806,5.55677,5.86548,6.17419,6.4829,6.79161,7.10032,7.40903,7.71774,8.02645,8.33516,8.64387,8.95258,9.26129,9.57,9.87871,10.1874,10.4961,10.8048,11.1135,11.4223,11.731,12.0397,12.3484,12.6571,12.9658,13.2745,13.5832,13.8919,14.2006,14.5094,14.8181,15.1268,15.4355,15.7442,16.0529,16.3616,16.6703,16.979,17.2877,17.5965,17.9052,18.2139,18.5226,18.8313,19.14,19.4487,19.7574,20.0661,20.3748,20.6835,20.9923,21.301,21.6097,21.9184,22.2271,22.5358,22.8445,23.1532,23.4619,23.7706,24.0794,24.3881,24.6968,25.0055,25.3142,25.6229,25.9316,26.2403,26.549,26.8577,27.1665,27.4752,27.7839,28.0926,28.4013,28.71,29.0187,29.3274,29.6361,29.9448,30.2535,30.5623,30.871,31.1797,31.4884,31.7971,32.1058,32.4145,32.7232,33.0319,33.3406,33.6494,33.9581,34.2668,34.5755,34.8842,35.1929,35.5016,35.8103,36.119,36.4277,36.7365,37.0452,37.3539,37.6626,37.9713,38.28,38.5887,38.8974,39.2061,39.5148,39.8235,40.1323,40.441,40.7497,41.0584,41.3671,41.6758,41.9845,42.2932,42.6019,42.9106,43.2194,43.5281,43.8368,44.1455,44.4542,44.7629,45.0716,45.3803,45.689,45.9977,46.3065,46.6152,46.9239,47.2326,47.5413,47.85,48.1587,48.4674,48.7761,49.0848,49.3935,49.7023,50.011,50.3197,50.6284,50.9371,51.2458,51.5545,51.8632,52.1719,52.4806,52.7894,53.0981,53.4068,53.7155,54.0242,54.3329,54.6416,54.9503,55.259,55.5677,55.8765,56.1852,56.4939,56.8026,57.1113,57.42,57.7287,58.0374,58.3461,58.6548,58.9635,59.2723,59.581,59.8897,60.1984,60.5071,60.8158,61.1245,61.4332,61.7419,62.0506,62.3594,62.6681,62.9768,63.2855,63.5942,63.9029,64.2116,64.5203,64.829,65.1377,65.4465,65.7552,66.0639,66.3726,66.6813,66.99,67.2987,67.6074,67.9161,68.2248,68.5335,68.8423,69.151,69.4597,69.7684,70.0771,70.3858,70.6945,71.0032,71.3119,71.6206,71.9294,72.2381,72.5468,72.8555,73.1642,73.4729,73.7816,74.0903,74.399,74.7077,75.0165,75.3252,75.6339,75.9426,76.2513,76.56,76.8687,77.1774,77.4861,77.7948,78.1035,78.4123,78.721,79.0297,79.3384,79.6471,79.9558,80.2645,80.5732,80.8819,81.1906,81.4994,81.8081,82.1168,82.4255,82.7342,83.0429,83.3516,83.6603,83.969,84.2777,84.5865,84.8952,85.2039,85.5126,85.8213,86.13,86.4387,86.7474,87.0561,87.3648,87.6735,87.9823,88.291,88.5997,88.9084,89.2171,89.5258,89.8345,90.1432,90.4519,90.7606,91.0694,91.3781,91.6868,91.9955,92.3042,92.6129,92.9216,93.2303,93.539,93.5647,93.5815,93.5983,93.6151,93.6319,93.6487,93.6655,93.6823,93.6992,93.716,93.7328,93.7496,93.7664,93.7832,93.8,93.8168,93.8336,93.8504,93.8672,93.884,93.9008,93.9177,93.9345,93.9513,93.9681,93.9849,94.0017,94.0185,94.0353,94.0521,94.0689,94.0857,94.1025,94.1194,94.1362,94.153,94.1698,94.1866,94.2034,94.2202,94.237,94.2538,94.2706,94.2874,94.3042,94.3211,94.3379,94.3547,94.3715,94.3883,94.4051,94.4219,94.4387,94.4555,94.4723,94.4891,94.5059,94.5228,94.5396,94.5564,94.5732,94.59,94.6068,94.6236,94.6404,94.6572,94.674,94.6908,94.7076,94.7244,94.7413,94.7581,94.7749,94.7917,94.8085,94.8253,94.8421,94.8589,94.8757,94.8925,94.9093,94.9261,94.943,94.9598,94.9766,94.9934,95.0102,95.027,95.0438,95.0606,95.0774,95.0942,95.111,95.1278,95.1447,95.1615,95.1783,95.1951,95.2119,95.2287,95.2455,95.2623,95.2791,95.2959,95.3127,95.3295,95.3463,95.3632,95.38,95.3968,95.4136,95.4304,95.4472,95.464,95.4808,95.4976,95.5144,95.5312,95.548,95.5649,95.5817,95.5985,95.6153,95.6321,95.6489,95.6657,95.6825,95.6993,95.7161,95.7329,95.7497,95.7666,95.7834,95.8002,95.817,95.8338,95.8506,95.8674,95.8842,95.901,95.9178,95.9346,95.9514,95.9683,95.9851,96.0019,96.0187,96.0355,96.0523,96.0691,96.0859,96.1027,96.1195,96.1363,96.1531,96.1699,96.1868,96.2036,96.2204,96.2372,96.254,96.2708,96.2876,96.3044,96.3212,96.338,96.3548,96.3716,96.3885,96.4053,96.4221,96.4389,96.4557,96.4725,96.4893,96.5061,96.5229,96.5397,96.5565,96.5733,96.5902,96.607,96.6238,96.6406,96.6574,96.6742,96.691,96.7078,96.7246,96.7414,96.7582,96.775,96.7919,96.8087,96.8255,96.8423,96.8591,96.8759,96.8927,96.9095,96.9263,96.9431,96.9599,96.9767,96.9935,97.0104,97.0272,97.044,97.0608,97.0776,97.0944,97.1112,97.128,97.1448,97.1616,97.1784,97.1952,97.2121,97.2289,97.2457,97.2625,97.2793,97.2961,97.3129,97.3297,97.3465,97.3633,97.3801,97.3969,97.4138,97.4306,97.4474,97.4642,97.481,97.4978,97.5146,97.5314,97.5482,97.565,97.5818,97.5986,97.6154,97.6323,97.6491,97.6659,97.6827,97.6995,97.7163,97.7331,97.7499,97.7667,97.7835,97.8003,97.8171,97.834,97.8508,97.8676,97.8844,97.9012,97.918,97.9348,97.9516,97.9684,97.9852,98.002,98.0188,98.0357,98.0525,98.0693,98.0861,98.1029,98.1197,98.1365,98.1533,98.1701,98.1869,98.2037,98.2205,98.2374,98.2542,98.271,98.2878,98.3046,98.3214,98.3382,98.355,98.3718,98.3886,98.4054,98.4222,98.439,98.4559,98.4727,98.4895,98.5063,98.5231,98.5399,98.5567,98.5735,98.5903,98.6071,98.6239,98.6407,98.6576,98.6744,98.6912,98.708,98.7248,98.7416,98.7584,98.7752,98.792,98.8088,98.8256,98.8424,98.8593,98.8761,98.8929,98.9097,98.9265,98.9433,98.9601,98.9769,98.9937,99.0105,99.0273,99.0441,99.061,99.0778,99.0946,99.1114,99.1282,99.145,99.1618,99.1786,99.1954,99.2122,99.229,99.2458,99.2626,99.2795,99.2963,99.3131,99.3299,99.3467,99.3635,99.3803,99.3971,99.4139,99.4307,99.4475,99.4643,99.4812,99.498,99.5148,99.5316,99.5484,99.5652,99.582,99.5988,99.6156,99.6324,99.6492,99.666,99.6829,99.6997,99.7165,99.7333,99.7501,99.7669,99.7837,99.8005,99.8173,99.8341,99.8509,99.8677,99.8846,99.9014,99.9182,99.935,99.9518,99.9686,99.9854,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 51,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "Iris-setosa"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.980738,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.901961,
-				"compression": 0.704425,
-				"auc": 0.95993
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,13,0],
-						[0,0,19]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,12,4],
-						[0,1,15]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,12,4],
-						[19,0,0],
-						[0,1,15]
-					],
-					"partInterests": [0.266843,0.44088,0.292278]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.294231,0.588462,0.882692,1.17692,1.47115,1.76538,2.05962,2.35385,2.64808,2.94231,3.23654,3.53077,3.825,4.11923,4.41346,4.70769,5.00192,5.29615,5.59038,5.88462,6.17885,6.47308,6.76731,7.06154,7.35577,7.65,7.94423,8.23846,8.53269,8.82692,9.12115,9.41538,9.70962,10.0038,10.2981,10.5923,10.8865,11.1808,11.475,11.7692,12.0635,12.3577,12.6519,12.9462,13.2404,13.5346,13.8288,14.1231,14.4173,14.7115,15.0058,15.3,15.5942,15.8885,16.1827,16.4769,16.7712,17.0654,17.3596,17.6538,17.9481,18.2423,18.5365,18.8308,19.125,19.4192,19.7135,20.0077,20.3019,20.5962,20.8904,21.1846,21.4788,21.7731,22.0673,22.3615,22.6558,22.95,23.2442,23.5385,23.8327,24.1269,24.4212,24.7154,25.0096,25.3038,25.5981,25.8923,26.1865,26.4808,26.775,27.0692,27.3635,27.6577,27.9519,28.2462,28.5404,28.8346,29.1288,29.4231,29.7173,30.0115,30.3058,30.6,30.8942,31.1885,31.4827,31.7769,32.0712,32.3654,32.6596,32.9538,33.2481,33.5423,33.8365,34.1308,34.425,34.7192,35.0135,35.3077,35.6019,35.8962,36.1904,36.4846,36.7788,37.0731,37.3673,37.6615,37.9558,38.25,38.5442,38.8385,39.1327,39.4269,39.7212,40.0154,40.3096,40.6038,40.8981,41.1923,41.4865,41.7808,42.075,42.3692,42.6635,42.9577,43.2519,43.5462,43.8404,44.1346,44.4288,44.7231,45.0173,45.3115,45.6058,45.9,46.1942,46.4885,46.7827,47.0769,47.3712,47.6654,47.9596,48.2538,48.5481,48.8423,49.1365,49.4308,49.725,50.0192,50.3135,50.6077,50.9019,51.1962,51.4904,51.7846,52.0788,52.3731,52.6673,52.9615,53.2558,53.55,53.8442,54.1385,54.4327,54.7269,55.0212,55.3154,55.6096,55.9038,56.1981,56.4923,56.7865,57.0808,57.375,57.6692,57.9635,58.2577,58.5519,58.8462,59.1404,59.4346,59.7288,60.0231,60.3173,60.6115,60.9058,61.2,61.4942,61.7885,62.0827,62.3769,62.6712,62.9654,63.2596,63.5538,63.8481,64.1423,64.4365,64.7308,65.025,65.3192,65.6135,65.9077,66.2019,66.4962,66.7904,67.0846,67.3788,67.6731,67.9673,68.2615,68.5558,68.85,69.1442,69.4385,69.7327,70.0269,70.3212,70.6154,70.9096,71.2038,71.4981,71.7923,72.0865,72.3808,72.675,72.9692,73.2635,73.5577,73.8519,74.1462,74.4404,74.7346,75.0288,75.3231,75.6173,75.9115,76.2058,76.5,76.7942,77.0885,77.3827,77.6769,77.9712,78.2654,78.5596,78.8538,79.1481,79.4423,79.7365,80.0308,80.325,80.6192,80.9135,81.2077,81.5019,81.7962,82.0904,82.3846,82.6788,82.9731,83.2673,83.5615,83.8558,84.15,84.4442,84.7385,85.0327,85.3269,85.6212,85.9154,86.2096,86.5038,86.7981,87.0923,87.3865,87.6808,87.975,88.2692,88.5635,88.8577,89.1519,89.4462,89.7404,90.0346,90.3288,90.6231,90.9173,91.2115,91.5058,91.8,92.0942,92.3144,92.3389,92.3635,92.388,92.4125,92.437,92.4615,92.4861,92.5106,92.5351,92.5596,92.5841,92.6087,92.6332,92.6577,92.6822,92.7067,92.7313,92.7558,92.7803,92.8048,92.8293,92.8538,92.8784,92.9029,92.9274,92.9519,92.9764,93.001,93.0255,93.05,93.0745,93.099,93.1236,93.1481,93.1726,93.1971,93.2216,93.2462,93.2707,93.2952,93.3197,93.3442,93.3688,93.3933,93.4178,93.4423,93.4668,93.4913,93.5159,93.5404,93.5649,93.5894,93.6139,93.6385,93.663,93.6875,93.712,93.7365,93.7611,93.7856,93.8101,93.8346,93.8591,93.8837,93.9082,93.9327,93.9572,93.9817,94.0063,94.0308,94.0553,94.0798,94.1043,94.1288,94.1534,94.1779,94.2024,94.2269,94.2514,94.276,94.3005,94.325,94.3495,94.374,94.3986,94.4231,94.4476,94.4721,94.4966,94.5212,94.5457,94.5702,94.5947,94.6192,94.6438,94.6683,94.6928,94.7173,94.7418,94.7663,94.7909,94.8154,94.8399,94.8644,94.8889,94.9135,94.938,94.9625,94.987,95.0115,95.0361,95.0606,95.0851,95.1096,95.1341,95.1587,95.1832,95.2077,95.2322,95.2567,95.2812,95.3058,95.3303,95.3548,95.3793,95.4038,95.4284,95.4529,95.4774,95.5019,95.5264,95.551,95.5755,95.6,95.6245,95.649,95.6736,95.6981,95.7226,95.7471,95.7716,95.7962,95.8207,95.8452,95.8697,95.8942,95.9188,95.9433,95.9678,95.9923,96.0168,96.0413,96.0659,96.0904,96.1149,96.1394,96.1639,96.1885,96.213,96.2375,96.262,96.2865,96.3111,96.3356,96.3601,96.3846,96.4091,96.4337,96.4582,96.4827,96.5072,96.5317,96.5563,96.5808,96.6053,96.6298,96.6543,96.6788,96.7034,96.7279,96.7524,96.7769,96.8014,96.826,96.8505,96.875,96.8995,96.924,96.9486,96.9731,96.9976,97.0221,97.0466,97.0712,97.0957,97.1202,97.1447,97.1692,97.1937,97.2183,97.2428,97.2673,97.2918,97.3163,97.3409,97.3654,97.3899,97.4144,97.4389,97.4635,97.488,97.5125,97.537,97.5615,97.5861,97.6106,97.6351,97.6596,97.6841,97.7087,97.7332,97.7577,97.7822,97.8067,97.8312,97.8558,97.8803,97.9048,97.9293,97.9538,97.9784,98.0029,98.0274,98.0519,98.0764,98.101,98.1255,98.15,98.1745,98.199,98.2236,98.2481,98.2726,98.2971,98.3216,98.3462,98.3707,98.3952,98.4197,98.4442,98.4688,98.4933,98.5178,98.5423,98.5668,98.5913,98.6159,98.6404,98.6649,98.6894,98.7139,98.7385,98.763,98.7875,98.812,98.8365,98.8611,98.8856,98.9101,98.9346,98.9591,98.9837,99.0082,99.0327,99.0572,99.0817,99.1062,99.1308,99.1553,99.1798,99.2043,99.2288,99.2534,99.2779,99.3024,99.3269,99.3514,99.376,99.4005,99.425,99.4495,99.474,99.4986,99.5231,99.5476,99.5721,99.5966,99.6212,99.6457,99.6702,99.6947,99.7192,99.7437,99.7683,99.7928,99.8173,99.8418,99.8663,99.8909,99.9154,99.9399,99.9644,99.9889,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.251645,0.503289,0.754934,1.00658,1.25822,1.50987,1.76151,2.01316,2.2648,2.51645,2.76809,3.01974,3.27138,3.52303,3.77467,4.02632,4.27796,4.52961,4.78125,5.03289,5.28454,5.53618,5.78783,6.03947,6.29112,6.54276,6.79441,7.04605,7.2977,7.54934,7.80099,8.05263,8.30428,8.55592,8.80757,9.05921,9.31086,9.5625,9.81414,10.0658,10.3174,10.5691,10.8207,11.0724,11.324,11.5757,11.8273,12.0789,12.3306,12.5822,12.8339,13.0855,13.3372,13.5888,13.8405,14.0921,14.3438,14.5954,14.847,15.0987,15.3503,15.602,15.8536,16.1053,16.3569,16.6086,16.8602,17.1118,17.3635,17.6151,17.8668,18.1184,18.3701,18.6217,18.8734,19.125,19.3766,19.6283,19.8799,20.1316,20.3832,20.6349,20.8865,21.1382,21.3898,21.6414,21.8931,22.1447,22.3964,22.648,22.8997,23.1513,23.403,23.6546,23.9062,24.1579,24.4095,24.6612,24.9128,25.1645,25.4161,25.6678,25.9194,26.1711,26.4227,26.6743,26.926,27.1776,27.4293,27.6809,27.9326,28.1842,28.4359,28.6875,28.9391,29.1908,29.4424,29.6941,29.9457,30.1974,30.449,30.7007,30.9523,31.2039,31.4556,31.7072,31.9589,32.2105,32.4622,32.7138,32.9655,33.2171,33.4688,33.7204,33.972,34.2237,34.4753,34.727,34.9786,35.2303,35.4819,35.7336,35.9852,36.2368,36.4885,36.7401,36.9918,37.2434,37.4951,37.7467,37.9984,38.25,38.5016,38.7533,39.0049,39.2566,39.5082,39.7599,40.0115,40.2632,40.5148,40.7664,41.0181,41.2697,41.5214,41.773,42.0247,42.2763,42.528,42.7796,43.0312,43.2829,43.5345,43.7862,44.0378,44.2895,44.5411,44.7928,45.0444,45.2961,45.5477,45.7993,46.051,46.3026,46.5543,46.8059,47.0576,47.3092,47.5609,47.8125,48.0641,48.3158,48.5674,48.8191,49.0707,49.3224,49.574,49.8257,50.0773,50.3289,50.5806,50.8322,51.0839,51.3355,51.5872,51.8388,52.0905,52.3421,52.5937,52.8454,53.097,53.3487,53.6003,53.852,54.1036,54.3553,54.6069,54.8586,55.1102,55.3618,55.6135,55.8651,56.1168,56.3684,56.6201,56.8717,57.1234,57.375,57.6266,57.8783,58.1299,58.3816,58.6332,58.8849,59.1365,59.3882,59.6398,59.8914,60.1431,60.3947,60.6464,60.898,61.1497,61.4013,61.653,61.9046,62.1562,62.4079,62.6595,62.9112,63.1628,63.4145,63.6661,63.9178,64.1694,64.4211,64.6727,64.9243,65.176,65.4276,65.6793,65.9309,66.1826,66.4342,66.6859,66.9375,67.1891,67.4408,67.6924,67.9441,68.1957,68.4474,68.699,68.9507,69.2023,69.4539,69.7056,69.9572,70.2089,70.4605,70.7122,70.9638,71.2155,71.4671,71.7188,71.9704,72.222,72.4737,72.7253,72.977,73.2286,73.4803,73.7319,73.9836,74.2352,74.4868,74.7385,74.9901,75.2418,75.4934,75.7451,75.9967,76.2484,76.5,76.7516,77.0033,77.2549,77.5066,77.7582,78.0099,78.2615,78.5132,78.7648,78.9658,79.0329,79.1,79.1671,79.2342,79.3013,79.3684,79.4355,79.5026,79.5697,79.6368,79.7039,79.7711,79.8382,79.9053,79.9724,80.0395,80.1066,80.1737,80.2408,80.3079,80.375,80.4421,80.5092,80.5763,80.6434,80.7105,80.7776,80.8447,80.9118,80.9789,81.0461,81.1132,81.1803,81.2474,81.3145,81.3816,81.4487,81.5158,81.5829,81.65,81.7171,81.7842,81.8513,81.9184,81.9855,82.0526,82.1197,82.1868,82.2539,82.3211,82.3882,82.4553,82.5224,82.5895,82.6566,82.7237,82.7908,82.8579,82.925,82.9921,83.0592,83.1263,83.1934,83.2605,83.3276,83.3947,83.4618,83.5289,83.5961,83.6632,83.7303,83.7974,83.8645,83.9316,83.9987,84.0658,84.1329,84.2,84.2671,84.3342,84.4013,84.4684,84.5355,84.6026,84.6697,84.7368,84.8039,84.8711,84.9382,85.0053,85.0724,85.1395,85.2066,85.2737,85.3408,85.4079,85.475,85.5421,85.6092,85.6763,85.7434,85.8105,85.8776,85.9447,86.0118,86.0789,86.1461,86.2132,86.2803,86.3474,86.4145,86.4816,86.5487,86.6158,86.6829,86.75,86.8171,86.8842,86.9513,87.0184,87.0855,87.1526,87.2197,87.2868,87.3539,87.4211,87.4882,87.5553,87.6224,87.6895,87.7566,87.8237,87.8908,87.9579,88.025,88.0921,88.1592,88.2263,88.2934,88.3605,88.4276,88.4947,88.5618,88.6289,88.6961,88.7632,88.8303,88.8974,88.9645,89.0316,89.0987,89.1658,89.2329,89.3,89.3671,89.4342,89.5013,89.5684,89.6355,89.7026,89.7697,89.8368,89.9039,89.9711,90.0382,90.1053,90.1724,90.2395,90.3066,90.3737,90.4408,90.5079,90.575,90.6421,90.7092,90.7763,90.8434,90.9105,90.9776,91.0447,91.1118,91.1789,91.2461,91.3132,91.3803,91.4474,91.5145,91.5816,91.6487,91.7158,91.7829,91.85,91.9171,91.9842,92.0513,92.1184,92.1855,92.2526,92.3197,92.3868,92.4539,92.5211,92.5882,92.6553,92.7224,92.7895,92.8566,92.9237,92.9908,93.0579,93.125,93.1921,93.2592,93.3263,93.3934,93.4605,93.5276,93.5947,93.6618,93.7289,93.7961,93.8632,93.9303,93.9974,94.0645,94.1316,94.1987,94.2658,94.3329,94.4,94.4671,94.5342,94.6013,94.6684,94.7355,94.8026,94.8697,94.9368,95.0039,95.0711,95.1382,95.2053,95.2724,95.3395,95.4066,95.4737,95.5408,95.6079,95.675,95.7421,95.8092,95.8763,95.9434,96.0105,96.0776,96.1447,96.2118,96.2789,96.3461,96.4132,96.4803,96.5474,96.6145,96.6816,96.7487,96.8158,96.8829,96.95,97.0171,97.0842,97.1513,97.2184,97.2855,97.3526,97.4197,97.4868,97.5539,97.6211,97.6882,97.7553,97.8224,97.8895,97.9566,98.0237,98.0908,98.1579,98.225,98.2921,98.3592,98.4263,98.4934,98.5605,98.6276,98.6947,98.7618,98.8289,98.8961,98.9632,99.0303,99.0974,99.1645,99.2316,99.2987,99.3658,99.4329,99.5,99.5671,99.6342,99.7013,99.7684,99.8355,99.9026,99.9697,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-      "mainTargetValue": "Iris-setosa",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [31,37,31]
-			},
-			"evaluatedVariables": 11,
-			"nativeVariables": 4,
-			"constructedVariables": 7,
-			"informativeVariables": 9,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 100
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"level": 0.640044,
-				"parts": 3,
-				"values": 5,
-				"mode": "4",
-				"modeFrequency": 32,
-				"constructionCost": 3.17805,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R02",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"level": 0.634896,
-				"parts": 3,
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.801010101,
-				"stdDev": 1.712137004,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 28.0635,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R03",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"level": 0.616721,
-				"parts": 3,
-				"values": 20,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.218181818,
-				"stdDev": 0.749863777,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R04",
-				"name": "Class2",
-				"type": "Categorical",
-				"level": 0.473086,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 62,
-				"constructionCost": 3.17805,
-				"preparationCost": 15.5969,
-				"dataCost": 40.6817,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R05",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"level": 0.446496,
-				"parts": 2,
-				"values": 9,
-				"min": 1,
-				"max": 3,
-				"mean": 2.517171717,
-				"stdDev": 0.7226550938,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 14.7454,
-				"dataCost": 44.5336,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R06",
-				"name": "Class1",
-				"type": "Categorical",
-				"level": 0.440354,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 68,
-				"constructionCost": 3.17805,
-				"preparationCost": 15.4385,
-				"dataCost": 44.5336,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R07",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"level": 0.306127,
-				"parts": 2,
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.681818182,
-				"stdDev": 0.2962266524,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 14.8064,
-				"dataCost": 60.3118,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			},
-			{
-				"rank": "R08",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"level": 0.280329,
-				"parts": 3,
-				"values": 30,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.848484848,
-				"stdDev": 0.8065844732,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 27.4942,
-				"dataCost": 50.535
-			},
-			{
-				"rank": "R09",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"level": 0.111796,
-				"parts": 2,
-				"values": 22,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.042424242,
-				"stdDev": 0.4422374035,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"preparationCost": 16.7264,
-				"dataCost": 80.32
-			},
-			{
-				"rank": "R10",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R11",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 99,
-				"min": 0.01372010867,
-				"max": 0.9853969761,
-				"mean": 0.5371015665,
-				"stdDev": 0.2836682962,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Random()"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,36,2],
-						[31,0,0],
-						[0,1,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				},
-				"inputValues": {
-					"values": ["4","1","5","3","6"],
-					"frequencies": [32,31,24,6,6]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.95],
-								[4.95,6.9]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					],
-					"partInterests": [0.374224,0.311045,0.314731]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					],
-					"partInterests": [0.374224,0.311045,0.314731]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,31],
-						[0,37,0]
-					],
-					"partInterests": [0.443449,0.556551]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [62,37]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,37,31]
-					],
-					"partInterests": [0.584937,0.415063]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,37,31],
-						[31,0,0]
-					],
-					"partInterests": [0.415063,0.584937]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [68,31]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,33,2],
-						[0,4,29]
-					],
-					"partInterests": [0.407767,0.592233]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[28,3,0],
-						[3,12,1],
-						[0,22,30]
-					],
-					"partInterests": [0.493633,0.100396,0.405971]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[11,36,29],
-						[20,1,2]
-					],
-					"partInterests": [0.268778,0.731222]
-				}
-			}
-		}
-	},
-	"bivariatePreparationReport": {
-		"reportType": "BivariatePreparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-      "mainTargetValue": "Iris-setosa",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [31,37,31]
-			},
-			"evaluatedVariablePairs": 45,
-			"informativeVariablePairs": 0
-		},
-		"variablesPairsStatistics": [
-			{
-				"rank": "R01",
-				"name1": "Class1",
-				"name2": "Dummy2",
-				"deltaLevel": -0.0305789,
-				"level": 0.409775,
-				"level1": 0.440354,
-				"level2": 0,
-				"variables": 1,
-				"parts1": 2,
-				"parts2": 1,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 15.4385,
-				"dataCost": 44.5336
-			},
-			{
-				"rank": "R02",
-				"name1": "Class2",
-				"name2": "Dummy2",
-				"deltaLevel": -0.0305789,
-				"level": 0.442507,
-				"level1": 0.473086,
-				"level2": 0,
-				"variables": 1,
-				"parts1": 2,
-				"parts2": 1,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 15.5969,
-				"dataCost": 40.6817
-			},
-			{
-				"rank": "R03",
-				"name1": "Dummy2",
-				"name2": "LowerPetalLength",
-				"deltaLevel": -0.0305789,
-				"level": 0.415917,
-				"level1": 0,
-				"level2": 0.446496,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 14.7454,
-				"dataCost": 44.5336
-			},
-			{
-				"rank": "R04",
-				"name1": "Dummy2",
-				"name2": "PetalLength",
-				"deltaLevel": -0.0305789,
-				"level": 0.604317,
-				"level1": 0,
-				"level2": 0.634896,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 28.0635,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R05",
-				"name1": "Dummy2",
-				"name2": "PetalWidth",
-				"deltaLevel": -0.0305789,
-				"level": 0.586142,
-				"level1": 0,
-				"level2": 0.616721,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R06",
-				"name1": "Dummy2",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.0305789,
-				"level": 0.609466,
-				"level1": 0,
-				"level2": 0.640044,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R07",
-				"name1": "Dummy2",
-				"name2": "SepalLength",
-				"deltaLevel": -0.0305789,
-				"level": 0.24975,
-				"level1": 0,
-				"level2": 0.280329,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4942,
-				"dataCost": 50.535
-			},
-			{
-				"rank": "R08",
-				"name1": "Dummy2",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.0305789,
-				"level": 0.0812168,
-				"level1": 0,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 16.7264,
-				"dataCost": 80.32
-			},
-			{
-				"rank": "R09",
-				"name1": "Dummy2",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.0305789,
-				"level": 0.275548,
-				"level1": 0,
-				"level2": 0.306127,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 14.8064,
-				"dataCost": 60.3118
-			},
-			{
-				"rank": "R10",
-				"name1": "SepalWidth",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.0544221,
-				"level": 0.3635,
-				"level1": 0.111796,
-				"level2": 0.306127,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.4811,
-				"dataCost": 39.3147
-			},
-			{
-				"rank": "R11",
-				"name1": "Class2",
-				"name2": "SepalLength",
-				"deltaLevel": -0.0807967,
-				"level": 0.672619,
-				"level1": 0.473086,
-				"level2": 0.280329,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 24.4493,
-				"dataCost": 3.46574
-			},
-			{
-				"rank": "R12",
-				"name1": "SepalLength",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.0883182,
-				"level": 0.303807,
-				"level1": 0.280329,
-				"level2": 0.111796,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.7538,
-				"dataCost": 45.7778
-			},
-			{
-				"rank": "R13",
-				"name1": "Class2",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.114582,
-				"level": 0.4703,
-				"level1": 0.473086,
-				"level2": 0.111796,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.7409,
-				"dataCost": 27.0037
-			},
-			{
-				"rank": "R14",
-				"name1": "Class2",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.118658,
-				"level": 0.660555,
-				"level1": 0.473086,
-				"level2": 0.306127,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.0072,
-				"dataCost": 6.2691
-			},
-			{
-				"rank": "R15",
-				"name1": "Class1",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.142375,
-				"level": 0.409775,
-				"level1": 0.440354,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 2,
-				"parts2": 1,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 15.4385,
-				"dataCost": 44.5336
-			},
-			{
-				"rank": "R16",
-				"name1": "LowerPetalLength",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.142375,
-				"level": 0.415917,
-				"level1": 0.446496,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 2,
-				"parts2": 1,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 14.7454,
-				"dataCost": 44.5336
-			},
-			{
-				"rank": "R17",
-				"name1": "PetalWidth",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.142375,
-				"level": 0.586142,
-				"level1": 0.616721,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R18",
-				"name1": "SPetalLength",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.142375,
-				"level": 0.609466,
-				"level1": 0.640044,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R19",
-				"name1": "PetalLength",
-				"name2": "SepalWidth",
-				"deltaLevel": -0.149613,
-				"level": 0.597079,
-				"level1": 0.634896,
-				"level2": 0.111796,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.14,
-				"dataCost": 8.69684
-			},
-			{
-				"rank": "R20",
-				"name1": "Class1",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.15922,
-				"level": 0.58726,
-				"level1": 0.440354,
-				"level2": 0.306127,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 20.5389,
-				"dataCost": 17.0079
-			},
-			{
-				"rank": "R21",
-				"name1": "LowerPetalLength",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.15922,
-				"level": 0.593403,
-				"level1": 0.446496,
-				"level2": 0.306127,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 19.8458,
-				"dataCost": 17.0079
-			},
-			{
-				"rank": "R22",
-				"name1": "SepalLength",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.179284,
-				"level": 0.407172,
-				"level1": 0.280329,
-				"level2": 0.306127,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 30.6272,
-				"dataCost": 27.2407
-			},
-			{
-				"rank": "R23",
-				"name1": "Class2",
-				"name2": "LowerPetalLength",
-				"deltaLevel": -0.181482,
-				"level": 0.7381,
-				"level1": 0.473086,
-				"level2": 0.446496,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 20.5262,
-				"dataCost": 0
-			},
-			{
-				"rank": "R24",
-				"name1": "Class1",
-				"name2": "Class2",
-				"deltaLevel": -0.211405,
-				"level": 0.702035,
-				"level1": 0.440354,
-				"level2": 0.473086,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 24.5957,
-				"dataCost": 0
-			},
-			{
-				"rank": "R25",
-				"name1": "Class1",
-				"name2": "SepalLength",
-				"deltaLevel": -0.296511,
-				"level": 0.424172,
-				"level1": 0.440354,
-				"level2": 0.280329,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 19.9456,
-				"dataCost": 36.004
-			},
-			{
-				"rank": "R26",
-				"name1": "LowerPetalLength",
-				"name2": "SepalLength",
-				"deltaLevel": -0.296511,
-				"level": 0.430315,
-				"level1": 0.446496,
-				"level2": 0.280329,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 19.2525,
-				"dataCost": 36.004
-			},
-			{
-				"rank": "R27",
-				"name1": "PetalWidth",
-				"name2": "SepalLength",
-				"deltaLevel": -0.310908,
-				"level": 0.586142,
-				"level1": 0.616721,
-				"level2": 0.280329,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R28",
-				"name1": "SPetalLength",
-				"name2": "SepalLength",
-				"deltaLevel": -0.310908,
-				"level": 0.609466,
-				"level1": 0.640044,
-				"level2": 0.280329,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R29",
-				"name1": "PetalLength",
-				"name2": "SepalLength",
-				"deltaLevel": -0.318146,
-				"level": 0.597079,
-				"level1": 0.634896,
-				"level2": 0.280329,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.14,
-				"dataCost": 8.69684
-			},
-			{
-				"rank": "R30",
-				"name1": "PetalWidth",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.336705,
-				"level": 0.586142,
-				"level1": 0.616721,
-				"level2": 0.306127,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R31",
-				"name1": "SPetalLength",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.336705,
-				"level": 0.609466,
-				"level1": 0.640044,
-				"level2": 0.306127,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R32",
-				"name1": "PetalLength",
-				"name2": "UpperPetalWidth",
-				"deltaLevel": -0.343944,
-				"level": 0.597079,
-				"level1": 0.634896,
-				"level2": 0.306127,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.14,
-				"dataCost": 8.69684
-			},
-			{
-				"rank": "R33",
-				"name1": "Class2",
-				"name2": "PetalWidth",
-				"deltaLevel": -0.386943,
-				"level": 0.702864,
-				"level1": 0.473086,
-				"level2": 0.616721,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 24.5023,
-				"dataCost": 0
-			},
-			{
-				"rank": "R34",
-				"name1": "Class2",
-				"name2": "PetalLength",
-				"deltaLevel": -0.405208,
-				"level": 0.702775,
-				"level1": 0.473086,
-				"level2": 0.634896,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 9.02645,
-				"preparationCost": 24.5123,
-				"dataCost": 0
-			},
-			{
-				"rank": "R35",
-				"name1": "Class2",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.434905,
-				"level": 0.678226,
-				"level1": 0.473086,
-				"level2": 0.640044,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 27.2824,
-				"dataCost": 0
-			},
-			{
-				"rank": "R36",
-				"name1": "Class1",
-				"name2": "PetalLength",
-				"deltaLevel": -0.459349,
-				"level": 0.6159,
-				"level1": 0.440354,
-				"level2": 0.634896,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 22.7896,
-				"dataCost": 11.5255
-			},
-			{
-				"rank": "R37",
-				"name1": "Class1",
-				"name2": "LowerPetalLength",
-				"deltaLevel": -0.470932,
-				"level": 0.415917,
-				"level1": 0.440354,
-				"level2": 0.446496,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.62856,
-				"preparationCost": 14.7454,
-				"dataCost": 44.5336
-			},
-			{
-				"rank": "R38",
-				"name1": "LowerPetalLength",
-				"name2": "PetalLength",
-				"deltaLevel": -0.473842,
-				"level": 0.607551,
-				"level1": 0.446496,
-				"level2": 0.634896,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.7317,
-				"dataCost": 11.5255
-			},
-			{
-				"rank": "R39",
-				"name1": "LowerPetalLength",
-				"name2": "PetalWidth",
-				"deltaLevel": -0.477075,
-				"level": 0.586142,
-				"level1": 0.446496,
-				"level2": 0.616721,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R40",
-				"name1": "LowerPetalLength",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.477075,
-				"level": 0.609466,
-				"level1": 0.446496,
-				"level2": 0.640044,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R41",
-				"name1": "Class1",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.477398,
-				"level": 0.603,
-				"level1": 0.440354,
-				"level2": 0.640044,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 28.2121,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R42",
-				"name1": "Class1",
-				"name2": "PetalWidth",
-				"deltaLevel": -0.480807,
-				"level": 0.576267,
-				"level1": 0.440354,
-				"level2": 0.616721,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 28.8308,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R43",
-				"name1": "PetalWidth",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.6473,
-				"level": 0.609466,
-				"level1": 0.616721,
-				"level2": 0.640044,
-				"variables": 1,
-				"parts1": 1,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R44",
-				"name1": "PetalLength",
-				"name2": "PetalWidth",
-				"deltaLevel": -0.654538,
-				"level": 0.597079,
-				"level1": 0.634896,
-				"level2": 0.616721,
-				"variables": 1,
-				"parts1": 3,
-				"parts2": 1,
-				"cells": 3,
-				"constructionCost": 6.62856,
-				"preparationCost": 30.14,
-				"dataCost": 8.69684
-			},
-			{
-				"rank": "R45",
-				"name1": "PetalLength",
-				"name2": "SPetalLength",
-				"deltaLevel": -0.668776,
-				"level": 0.606164,
-				"level1": 0.634896,
-				"level2": 0.640044,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 9.02645,
-				"preparationCost": 23.8882,
-				"dataCost": 11.5255
-			}
-		],
-		"variablesPairsDetailedStatistics": {
-			"R10": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.05],
-								[3.05,4.4]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[6,29,2],
-						[25,4,0],
-						[0,1,20],
-						[0,3,9]
-					],
-					"cellInterests": [0.225374,0.343006,0.324608,0.107012]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,1],
-						[0,15,0],
-						[0,0,30],
-						[0,22,0]
-					],
-					"cellInterests": [0.314618,0.142013,0.335085,0.208285]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.05],
-								[3.05,4.4]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[6,15,1],
-						[0,15,21],
-						[25,0,0],
-						[0,7,9]
-					],
-					"cellInterests": [0.111064,0.260759,0.515069,0.113109]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[11,0,29],
-						[0,36,0],
-						[20,0,2],
-						[0,1,0]
-					],
-					"cellInterests": [0.293163,0.453219,0.241029,0.0125894]
-				}
-			},
-			"R14": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,2],
-						[0,33,0],
-						[0,0,29],
-						[0,4,0]
-					],
-					"cellInterests": [0.305099,0.322015,0.333855,0.0390321]
-				}
-			},
-			"R20": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,33,2],
-						[31,0,0],
-						[0,4,29]
-					],
-					"cellInterests": [0.306429,0.406488,0.287083]
-				}
-			},
-			"R21": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,33,2],
-						[0,4,29]
-					],
-					"cellInterests": [0.406488,0.306429,0.287083]
-				}
-			},
-			"R22": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,7.7]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[28,3,0],
-						[3,33,2],
-						[0,1,29]
-					],
-					"cellInterests": [0.336934,0.264762,0.398305]
-				}
-			},
-			"R23": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,0,31],
-						[0,37,0]
-					],
-					"cellInterests": [0.332041,0.332041,0.335918]
-				}
-			},
-			"R24": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,0,31],
-						[31,0,0],
-						[0,37,0]
-					],
-					"cellInterests": [0.332041,0.332041,0.335918]
-				}
-			},
-			"R25": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,15,1],
-						[31,0,0],
-						[0,22,30]
-					],
-					"cellInterests": [0.175962,0.519866,0.304172]
-				}
-			},
-			"R26": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,15,1],
-						[0,22,30]
-					],
-					"cellInterests": [0.519866,0.175962,0.304172]
-				}
-			},
-			"R33": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,1.35],
-								[1.35,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,20,0],
-						[0,0,31],
-						[0,17,0]
-					],
-					"cellInterests": [0.332041,0.181578,0.332041,0.154341]
-				}
-			},
-			"R34": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,4.35],
-								[4.35,6.9]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,18,0],
-						[0,0,31],
-						[0,19,0]
-					],
-					"cellInterests": [0.332041,0.16342,0.332041,0.172499]
-				}
-			},
-			"R35": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","5","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,0,31],
-						[0,37,0],
-						[31,0,0]
-					],
-					"cellInterests": [0.332041,0.335918,0.332041]
-				}
-			},
-			"R36": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,5.05],
-								[5.05,6.9]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,37,4],
-						[31,0,0],
-						[0,0,27]
-					],
-					"cellInterests": [0.293318,0.37771,0.328973]
-				}
-			},
-			"R38": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,5.05],
-								[5.05,6.9]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellTargetFrequencies": [
-						[31,0,0],
-						[0,37,4],
-						[0,0,27]
-					],
-					"cellInterests": [0.37771,0.293318,0.328973]
-				}
-			},
-			"R42": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,36,2],
-						[31,0,0],
-						[0,1,29]
-					],
-					"cellInterests": [0.311045,0.374224,0.314731]
-				}
-			},
-			"R45": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,5.05],
-								[5.05,6.9]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","5"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellTargetFrequencies": [
-						[0,37,4],
-						[0,0,27],
-						[31,0,0]
-					],
-					"cellInterests": [0.293318,0.328973,0.37771]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 2
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"variables": 1
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R1": {
+				"selectedVariables": [
+					{
+						"preparedName": "PClass1",
+						"name": "Class1",
+						"level": 0.473012,
+						"weight": 0.65625,
+						"importance": 0.557148
+					},
+					{
+						"preparedName": "PClass2",
+						"name": "Class2",
+						"level": 0.439898,
+						"weight": 0.65625,
+						"importance": 0.537292
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991629,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.971429,
+				"compression": 0.892955,
+				"auc": 0.986807
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,32,0],
+						[0,0,35]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60937,3.9375,4.26562,4.59375,4.92187,5.25,5.57812,5.90625,6.23437,6.5625,6.89062,7.21875,7.54687,7.875,8.20312,8.53125,8.85937,9.1875,9.51562,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4687,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0937,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7187,18.0469,18.375,18.7031,19.0312,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6562,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9062,27.2344,27.5625,27.8906,28.2187,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7187,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3437,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2812,45.6094,45.9375,46.2656,46.5937,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2187,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1562,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0937,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5937,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0937,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9062,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5312,92.8594,93.1875,93.5156,93.8437,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60938,3.9375,4.26563,4.59375,4.92188,5.25,5.57812,5.90625,6.23438,6.5625,6.89062,7.21875,7.54688,7.875,8.20312,8.53125,8.85938,9.1875,9.51563,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4688,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0938,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7188,18.0469,18.375,18.7031,19.0313,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6563,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9063,27.2344,27.5625,27.8906,28.2188,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7188,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3438,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2813,45.6094,45.9375,46.2656,46.5938,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2188,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1563,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0938,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5938,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0938,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9063,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5313,92.8594,93.1875,93.5156,93.8438,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.308239,0.616477,0.924716,1.23295,1.54119,1.84943,2.15767,2.46591,2.77415,3.08239,3.39062,3.69886,4.0071,4.31534,4.62358,4.93182,5.24006,5.5483,5.85653,6.16477,6.47301,6.78125,7.08949,7.39773,7.70597,8.0142,8.32244,8.63068,8.93892,9.24716,9.5554,9.86364,10.1719,10.4801,10.7884,11.0966,11.4048,11.7131,12.0213,12.3295,12.6378,12.946,13.2543,13.5625,13.8707,14.179,14.4872,14.7955,15.1037,15.4119,15.7202,16.0284,16.3366,16.6449,16.9531,17.2614,17.5696,17.8778,18.1861,18.4943,18.8026,19.1108,19.419,19.7273,20.0355,20.3438,20.652,20.9602,21.2685,21.5767,21.8849,22.1932,22.5014,22.8097,23.1179,23.4261,23.7344,24.0426,24.3509,24.6591,24.9673,25.2756,25.5838,25.892,26.2003,26.5085,26.8168,27.125,27.4332,27.7415,28.0497,28.358,28.6662,28.9744,29.2827,29.5909,29.8991,30.2074,30.5156,30.8239,31.1321,31.4403,31.7486,32.0568,32.3651,32.6733,32.9815,33.2898,33.598,33.9062,34.2145,34.5227,34.831,35.1392,35.4474,35.7557,36.0639,36.3722,36.6804,36.9886,37.2969,37.6051,37.9134,38.2216,38.5298,38.8381,39.1463,39.4545,39.7628,40.071,40.3793,40.6875,40.9957,41.304,41.6122,41.9205,42.2287,42.5369,42.8452,43.1534,43.4616,43.7699,44.0781,44.3864,44.6946,45.0028,45.3111,45.6193,45.9276,46.2358,46.544,46.8523,47.1605,47.4687,47.777,48.0852,48.3935,48.7017,49.0099,49.3182,49.6264,49.9347,50.2429,50.5511,50.8594,51.1676,51.4759,51.7841,52.0923,52.4006,52.7088,53.017,53.3253,53.6335,53.9418,54.25,54.5582,54.8665,55.1747,55.483,55.7912,56.0994,56.4077,56.7159,57.0241,57.3324,57.6406,57.9489,58.2571,58.5653,58.8736,59.1818,59.4901,59.7983,60.1065,60.4148,60.723,61.0313,61.3395,61.6477,61.956,62.2642,62.5724,62.8807,63.1889,63.4972,63.8054,64.1136,64.4219,64.7301,65.0384,65.3466,65.6548,65.9631,66.2713,66.5795,66.8878,67.196,67.5043,67.8125,68.1207,68.429,68.7372,69.0455,69.3537,69.6619,69.9702,70.2784,70.5866,70.8949,71.2031,71.5114,71.8196,72.1278,72.4361,72.7443,73.0526,73.3608,73.669,73.9773,74.2855,74.5938,74.902,75.2102,75.5185,75.8267,76.1349,76.4432,76.7514,77.0597,77.3679,77.6761,77.9844,78.2926,78.6009,78.9091,79.2173,79.5256,79.8338,80.142,80.4503,80.7585,81.0668,81.375,81.6832,81.9915,82.2997,82.608,82.9162,83.2244,83.5327,83.8409,84.1491,84.4574,84.7656,85.0739,85.3821,85.6903,85.9986,86.3068,86.6151,86.9233,87.2315,87.5398,87.848,88.1563,88.4645,88.7727,89.081,89.3892,89.6974,90.0057,90.3139,90.6222,90.9304,91.2386,91.5469,91.8551,92.1634,92.4716,92.7798,93.0881,93.3963,93.7045,94.0128,94.321,94.6293,94.9375,95.2457,95.554,95.8622,96.1705,96.4787,96.7869,96.8819,96.8915,96.9012,96.9108,96.9205,96.9301,96.9398,96.9494,96.9591,96.9688,96.9784,96.9881,96.9977,97.0074,97.017,97.0267,97.0363,97.046,97.0556,97.0653,97.0749,97.0846,97.0942,97.1039,97.1135,97.1232,97.1328,97.1425,97.1521,97.1618,97.1714,97.1811,97.1907,97.2004,97.21,97.2197,97.2293,97.239,97.2486,97.2583,97.2679,97.2776,97.2872,97.2969,97.3065,97.3162,97.3258,97.3355,97.3451,97.3548,97.3644,97.3741,97.3837,97.3934,97.403,97.4127,97.4223,97.432,97.4416,97.4513,97.4609,97.4706,97.4802,97.4899,97.4995,97.5092,97.5188,97.5285,97.5381,97.5478,97.5574,97.5671,97.5767,97.5864,97.596,97.6057,97.6153,97.625,97.6347,97.6443,97.654,97.6636,97.6733,97.6829,97.6926,97.7022,97.7119,97.7215,97.7312,97.7408,97.7505,97.7601,97.7698,97.7794,97.7891,97.7987,97.8084,97.818,97.8277,97.8373,97.847,97.8566,97.8663,97.8759,97.8856,97.8952,97.9049,97.9145,97.9242,97.9338,97.9435,97.9531,97.9628,97.9724,97.9821,97.9917,98.0014,98.011,98.0207,98.0303,98.04,98.0496,98.0593,98.0689,98.0786,98.0882,98.0979,98.1075,98.1172,98.1268,98.1365,98.1461,98.1558,98.1654,98.1751,98.1847,98.1944,98.204,98.2137,98.2233,98.233,98.2426,98.2523,98.2619,98.2716,98.2812,98.2909,98.3006,98.3102,98.3199,98.3295,98.3392,98.3488,98.3585,98.3681,98.3778,98.3874,98.3971,98.4067,98.4164,98.426,98.4357,98.4453,98.455,98.4646,98.4743,98.4839,98.4936,98.5032,98.5129,98.5225,98.5322,98.5418,98.5515,98.5611,98.5708,98.5804,98.5901,98.5997,98.6094,98.619,98.6287,98.6383,98.648,98.6576,98.6673,98.6769,98.6866,98.6962,98.7059,98.7155,98.7252,98.7348,98.7445,98.7541,98.7638,98.7734,98.7831,98.7927,98.8024,98.812,98.8217,98.8313,98.841,98.8506,98.8603,98.8699,98.8796,98.8892,98.8989,98.9085,98.9182,98.9278,98.9375,98.9472,98.9568,98.9665,98.9761,98.9858,98.9954,99.0051,99.0147,99.0244,99.034,99.0437,99.0533,99.063,99.0726,99.0823,99.0919,99.1016,99.1112,99.1209,99.1305,99.1402,99.1498,99.1595,99.1691,99.1788,99.1884,99.1981,99.2077,99.2174,99.227,99.2367,99.2463,99.256,99.2656,99.2753,99.2849,99.2946,99.3042,99.3139,99.3235,99.3332,99.3428,99.3525,99.3621,99.3718,99.3814,99.3911,99.4007,99.4104,99.42,99.4297,99.4393,99.449,99.4586,99.4683,99.4779,99.4876,99.4972,99.5069,99.5165,99.5262,99.5358,99.5455,99.5551,99.5648,99.5744,99.5841,99.5938,99.6034,99.6131,99.6227,99.6324,99.642,99.6517,99.6613,99.671,99.6806,99.6903,99.6999,99.7096,99.7192,99.7289,99.7385,99.7482,99.7578,99.7675,99.7771,99.7868,99.7964,99.8061,99.8157,99.8254,99.835,99.8447,99.8543,99.864,99.8736,99.8833,99.8929,99.9026,99.9122,99.9219,99.9315,99.9412,99.9508,99.9605,99.9701,99.9798,99.9894,99.9991,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.291176,0.582353,0.873529,1.16471,1.45588,1.74706,2.03824,2.32941,2.62059,2.91176,3.20294,3.49412,3.78529,4.07647,4.36765,4.65882,4.95,5.24118,5.53235,5.82353,6.11471,6.40588,6.69706,6.98824,7.27941,7.57059,7.86176,8.15294,8.44412,8.73529,9.02647,9.31765,9.60882,9.9,10.1912,10.4824,10.7735,11.0647,11.3559,11.6471,11.9382,12.2294,12.5206,12.8118,13.1029,13.3941,13.6853,13.9765,14.2676,14.5588,14.85,15.1412,15.4324,15.7235,16.0147,16.3059,16.5971,16.8882,17.1794,17.4706,17.7618,18.0529,18.3441,18.6353,18.9265,19.2176,19.5088,19.8,20.0912,20.3824,20.6735,20.9647,21.2559,21.5471,21.8382,22.1294,22.4206,22.7118,23.0029,23.2941,23.5853,23.8765,24.1676,24.4588,24.75,25.0412,25.3324,25.6235,25.9147,26.2059,26.4971,26.7882,27.0794,27.3706,27.6618,27.9529,28.2441,28.5353,28.8265,29.1176,29.4088,29.7,29.9912,30.2824,30.5735,30.8647,31.1559,31.4471,31.7382,32.0294,32.3206,32.6118,32.9029,33.1941,33.4853,33.7765,34.0676,34.3588,34.65,34.9412,35.2324,35.5235,35.8147,36.1059,36.3971,36.6882,36.9794,37.2706,37.5618,37.8529,38.1441,38.4353,38.7265,39.0176,39.3088,39.6,39.8912,40.1824,40.4735,40.7647,41.0559,41.3471,41.6382,41.9294,42.2206,42.5118,42.8029,43.0941,43.3853,43.6765,43.9676,44.2588,44.55,44.8412,45.1324,45.4235,45.7147,46.0059,46.2971,46.5882,46.8794,47.1706,47.4618,47.7529,48.0441,48.3353,48.6265,48.9176,49.2088,49.5,49.7912,50.0824,50.3735,50.6647,50.9559,51.2471,51.5382,51.8294,52.1206,52.4118,52.7029,52.9941,53.2853,53.5765,53.8676,54.1588,54.45,54.7412,55.0324,55.3235,55.6147,55.9059,56.1971,56.4882,56.7794,57.0706,57.3618,57.6529,57.9441,58.2353,58.5265,58.8176,59.1088,59.4,59.6912,59.9824,60.2735,60.5647,60.8559,61.1471,61.4382,61.7294,62.0206,62.3118,62.6029,62.8941,63.1853,63.4765,63.7676,64.0588,64.35,64.6412,64.9324,65.2235,65.5147,65.8059,66.0971,66.3882,66.6794,66.9706,67.2618,67.5529,67.8441,68.1353,68.4265,68.7176,69.0088,69.3,69.5912,69.8824,70.1735,70.4647,70.7559,71.0471,71.3382,71.6294,71.9206,72.2118,72.5029,72.7941,73.0853,73.3765,73.6676,73.9588,74.25,74.5412,74.8324,75.1235,75.4147,75.7059,75.9971,76.2882,76.5794,76.8706,77.1618,77.4529,77.7441,78.0353,78.3265,78.6176,78.9088,79.2,79.4912,79.7824,80.0735,80.3647,80.6559,80.9471,81.2382,81.5294,81.8206,82.1118,82.4029,82.6941,82.9853,83.2765,83.5676,83.8588,84.15,84.4412,84.7324,85.0235,85.3147,85.6059,85.8971,86.1882,86.4794,86.7706,87.0618,87.3529,87.6441,87.9353,88.2265,88.5176,88.8088,89.1,89.3912,89.6824,89.9735,90.2647,90.5559,90.8471,91.1382,91.4294,91.7206,92.0118,92.3029,92.5941,92.8853,93.1765,93.4676,93.7588,94.05,94.2892,94.3074,94.3255,94.3437,94.3619,94.3801,94.3983,94.4165,94.4346,94.4528,94.471,94.4892,94.5074,94.5255,94.5437,94.5619,94.5801,94.5983,94.6165,94.6346,94.6528,94.671,94.6892,94.7074,94.7255,94.7437,94.7619,94.7801,94.7983,94.8165,94.8346,94.8528,94.871,94.8892,94.9074,94.9255,94.9437,94.9619,94.9801,94.9983,95.0165,95.0346,95.0528,95.071,95.0892,95.1074,95.1255,95.1437,95.1619,95.1801,95.1983,95.2165,95.2346,95.2528,95.271,95.2892,95.3074,95.3255,95.3437,95.3619,95.3801,95.3983,95.4165,95.4346,95.4528,95.471,95.4892,95.5074,95.5255,95.5437,95.5619,95.5801,95.5983,95.6165,95.6346,95.6528,95.671,95.6892,95.7074,95.7255,95.7437,95.7619,95.7801,95.7983,95.8165,95.8346,95.8528,95.871,95.8892,95.9074,95.9255,95.9437,95.9619,95.9801,95.9983,96.0165,96.0346,96.0528,96.071,96.0892,96.1074,96.1255,96.1437,96.1619,96.1801,96.1983,96.2165,96.2346,96.2528,96.271,96.2892,96.3074,96.3255,96.3437,96.3619,96.3801,96.3983,96.4165,96.4346,96.4528,96.471,96.4892,96.5074,96.5255,96.5437,96.5619,96.5801,96.5983,96.6165,96.6346,96.6528,96.671,96.6892,96.7074,96.7255,96.7437,96.7619,96.7801,96.7983,96.8165,96.8346,96.8528,96.871,96.8892,96.9074,96.9255,96.9437,96.9619,96.9801,96.9983,97.0165,97.0346,97.0528,97.071,97.0892,97.1074,97.1255,97.1437,97.1619,97.1801,97.1983,97.2165,97.2346,97.2528,97.271,97.2892,97.3074,97.3255,97.3437,97.3619,97.3801,97.3983,97.4165,97.4346,97.4528,97.471,97.4892,97.5074,97.5255,97.5437,97.5619,97.5801,97.5983,97.6165,97.6346,97.6528,97.671,97.6892,97.7074,97.7255,97.7437,97.7619,97.7801,97.7983,97.8165,97.8346,97.8528,97.871,97.8892,97.9074,97.9255,97.9437,97.9619,97.9801,97.9983,98.0165,98.0346,98.0528,98.071,98.0892,98.1074,98.1255,98.1437,98.1619,98.1801,98.1983,98.2165,98.2346,98.2528,98.271,98.2892,98.3074,98.3255,98.3437,98.3619,98.3801,98.3983,98.4165,98.4346,98.4528,98.471,98.4892,98.5074,98.5255,98.5437,98.5619,98.5801,98.5983,98.6165,98.6346,98.6528,98.671,98.6892,98.7074,98.7255,98.7437,98.7619,98.7801,98.7983,98.8165,98.8346,98.8528,98.871,98.8892,98.9074,98.9255,98.9437,98.9619,98.9801,98.9983,99.0165,99.0346,99.0528,99.071,99.0892,99.1074,99.1255,99.1437,99.1619,99.1801,99.1983,99.2165,99.2346,99.2528,99.271,99.2892,99.3074,99.3255,99.3437,99.3619,99.3801,99.3983,99.4165,99.4346,99.4528,99.471,99.4892,99.5074,99.5255,99.5437,99.5619,99.5801,99.5983,99.6165,99.6346,99.6528,99.671,99.6892,99.7074,99.7255,99.7437,99.7619,99.7801,99.7983,99.8165,99.8346,99.8528,99.871,99.8892,99.9074,99.9255,99.9437,99.9619,99.9801,99.9983,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 45,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991476,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.933333,
+				"compression": 0.795811,
+				"auc": 0.957778
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,0],
+						[0,0,15]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,3],
+						[0,0,12]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[12,0,0],
+						[0,18,3],
+						[0,0,12]
+					],
+					"partInterests": [0.394348,0.27788,0.327772]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.214286,0.428571,0.642857,0.857143,1.07143,1.28571,1.5,1.71429,1.92857,2.14286,2.35714,2.57143,2.78571,3,3.21429,3.42857,3.64286,3.85714,4.07143,4.28571,4.5,4.71429,4.92857,5.14286,5.35714,5.57143,5.78571,6,6.21429,6.42857,6.64286,6.85714,7.07143,7.28571,7.5,7.71429,7.92857,8.14286,8.35714,8.57143,8.78571,9,9.21429,9.42857,9.64286,9.85714,10.0714,10.2857,10.5,10.7143,10.9286,11.1429,11.3571,11.5714,11.7857,12,12.2143,12.4286,12.6429,12.8571,13.0714,13.2857,13.5,13.7143,13.9286,14.1429,14.3571,14.5714,14.7857,15,15.2143,15.4286,15.6429,15.8571,16.0714,16.2857,16.5,16.7143,16.9286,17.1429,17.3571,17.5714,17.7857,18,18.2143,18.4286,18.6429,18.8571,19.0714,19.2857,19.5,19.7143,19.9286,20.1429,20.3571,20.5714,20.7857,21,21.2143,21.4286,21.6429,21.8571,22.0714,22.2857,22.5,22.7143,22.9286,23.1429,23.3571,23.5714,23.7857,24,24.2143,24.4286,24.6429,24.8571,25.0714,25.2857,25.5,25.7143,25.9286,26.1429,26.3571,26.5714,26.7857,27,27.2143,27.4286,27.6429,27.8571,28.0714,28.2857,28.5,28.7143,28.9286,29.1429,29.3571,29.5714,29.7857,30,30.2143,30.4286,30.6429,30.8571,31.0714,31.2857,31.5,31.7143,31.9286,32.1429,32.3571,32.5714,32.7857,33,33.2143,33.4286,33.6429,33.8571,34.0714,34.2857,34.5,34.7143,34.9286,35.1429,35.3571,35.5714,35.7857,36,36.2143,36.4286,36.6429,36.8571,37.0714,37.2857,37.5,37.7143,37.9286,38.1429,38.3571,38.5714,38.7857,39,39.2143,39.4286,39.6429,39.8571,40.0714,40.2857,40.5,40.7143,40.9286,41.1429,41.3571,41.5714,41.7857,42,42.2143,42.4286,42.6429,42.8571,43.0714,43.2857,43.5,43.7143,43.9286,44.1429,44.3571,44.5714,44.7857,45,45.2143,45.4286,45.6429,45.8571,46.0714,46.2857,46.5,46.7143,46.9286,47.1429,47.3571,47.5714,47.7857,48,48.2143,48.4286,48.6429,48.8571,49.0714,49.2857,49.5,49.7143,49.9286,50.1429,50.3571,50.5714,50.7857,51,51.2143,51.4286,51.6429,51.8571,52.0714,52.2857,52.5,52.7143,52.9286,53.1429,53.3571,53.5714,53.7857,54,54.2143,54.4286,54.6429,54.8571,55.0714,55.2857,55.5,55.7143,55.9286,56.1429,56.3571,56.5714,56.7857,57,57.2143,57.4286,57.6429,57.8571,58.0714,58.2857,58.5,58.7143,58.9286,59.1429,59.3571,59.5714,59.7857,60,60.2143,60.4286,60.6429,60.8571,61.0714,61.2857,61.5,61.7143,61.9286,62.1429,62.3571,62.5714,62.7857,63,63.2143,63.4286,63.6429,63.8571,64.0714,64.2857,64.5,64.7143,64.9286,65.1429,65.3571,65.5714,65.7857,66,66.2143,66.4286,66.6429,66.8571,67.0714,67.2857,67.5,67.7143,67.9286,68.1429,68.3571,68.5714,68.7857,69,69.2143,69.4286,69.6429,69.8571,70.0714,70.2857,70.5,70.7143,70.9286,71.1429,71.3571,71.5714,71.7857,72,72.2143,72.4286,72.6429,72.8571,73.0714,73.2857,73.5,73.7143,73.9286,74.1429,74.3571,74.5714,74.7857,75,75.2143,75.4286,75.6429,75.8571,76.0714,76.2857,76.5,76.7143,76.9286,77.1429,77.3571,77.5714,77.7857,78,78.2143,78.4286,78.6429,78.8571,79.0714,79.2857,79.5,79.7143,79.9286,80.1429,80.3571,80.5714,80.7857,81,81.2143,81.4286,81.6429,81.8571,82.0714,82.2857,82.5,82.7143,82.9286,83.1429,83.3571,83.5714,83.7857,84,84.2143,84.4286,84.6429,84.8571,85.0714,85.2857,85.5,85.7143,85.9286,86.1429,86.3571,86.5714,86.7857,87,87.2143,87.4286,87.6429,87.8571,88.0714,88.2857,88.5,88.7143,88.9286,89.1429,89.3571,89.5714,89.7857,90,90.2143,90.4286,90.6429,90.8571,91.0714,91.2857,91.5,91.7143,91.9286,92.1429,92.3571,92.5714,92.7857,93,93.2143,93.4286,93.6429,93.8571,94.0714,94.2857,94.5,94.7143,94.9286,95.1429,95.3571,95.5714,95.7857,96,96.2143,96.4286,96.6429,96.8571,97.0714,97.2857,97.5,97.7143,97.9286,98.1429,98.3571,98.5714,98.7857,99,99.2143,99.4286,99.6429,99.8571,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.0143,80.0571,80.1,80.1429,80.1857,80.2286,80.2714,80.3143,80.3571,80.4,80.4429,80.4857,80.5286,80.5714,80.6143,80.6571,80.7,80.7429,80.7857,80.8286,80.8714,80.9143,80.9571,81,81.0429,81.0857,81.1286,81.1714,81.2143,81.2571,81.3,81.3429,81.3857,81.4286,81.4714,81.5143,81.5571,81.6,81.6429,81.6857,81.7286,81.7714,81.8143,81.8571,81.9,81.9429,81.9857,82.0286,82.0714,82.1143,82.1571,82.2,82.2429,82.2857,82.3286,82.3714,82.4143,82.4571,82.5,82.5429,82.5857,82.6286,82.6714,82.7143,82.7571,82.8,82.8429,82.8857,82.9286,82.9714,83.0143,83.0571,83.1,83.1429,83.1857,83.2286,83.2714,83.3143,83.3571,83.4,83.4429,83.4857,83.5286,83.5714,83.6143,83.6571,83.7,83.7429,83.7857,83.8286,83.8714,83.9143,83.9571,84,84.0429,84.0857,84.1286,84.1714,84.2143,84.2571,84.3,84.3429,84.3857,84.4286,84.4714,84.5143,84.5571,84.6,84.6429,84.6857,84.7286,84.7714,84.8143,84.8571,84.9,84.9429,84.9857,85.0286,85.0714,85.1143,85.1571,85.2,85.2429,85.2857,85.3286,85.3714,85.4143,85.4571,85.5,85.5429,85.5857,85.6286,85.6714,85.7143,85.7571,85.8,85.8429,85.8857,85.9286,85.9714,86.0143,86.0571,86.1,86.1429,86.1857,86.2286,86.2714,86.3143,86.3571,86.4,86.4429,86.4857,86.5286,86.5714,86.6143,86.6571,86.7,86.7429,86.7857,86.8286,86.8714,86.9143,86.9571,87,87.0429,87.0857,87.1286,87.1714,87.2143,87.2571,87.3,87.3429,87.3857,87.4286,87.4714,87.5143,87.5571,87.6,87.6429,87.6857,87.7286,87.7714,87.8143,87.8571,87.9,87.9429,87.9857,88.0286,88.0714,88.1143,88.1571,88.2,88.2429,88.2857,88.3286,88.3714,88.4143,88.4571,88.5,88.5429,88.5857,88.6286,88.6714,88.7143,88.7571,88.8,88.8429,88.8857,88.9286,88.9714,89.0143,89.0571,89.1,89.1429,89.1857,89.2286,89.2714,89.3143,89.3571,89.4,89.4429,89.4857,89.5286,89.5714,89.6143,89.6571,89.7,89.7429,89.7857,89.8286,89.8714,89.9143,89.9571,90,90.0429,90.0857,90.1286,90.1714,90.2143,90.2571,90.3,90.3429,90.3857,90.4286,90.4714,90.5143,90.5571,90.6,90.6429,90.6857,90.7286,90.7714,90.8143,90.8571,90.9,90.9429,90.9857,91.0286,91.0714,91.1143,91.1571,91.2,91.2429,91.2857,91.3286,91.3714,91.4143,91.4571,91.5,91.5429,91.5857,91.6286,91.6714,91.7143,91.7571,91.8,91.8429,91.8857,91.9286,91.9714,92.0143,92.0571,92.1,92.1429,92.1857,92.2286,92.2714,92.3143,92.3571,92.4,92.4429,92.4857,92.5286,92.5714,92.6143,92.6571,92.7,92.7429,92.7857,92.8286,92.8714,92.9143,92.9571,93,93.0429,93.0857,93.1286,93.1714,93.2143,93.2571,93.3,93.3429,93.3857,93.4286,93.4714,93.5143,93.5571,93.6,93.6429,93.6857,93.7286,93.7714,93.8143,93.8571,93.9,93.9429,93.9857,94.0286,94.0714,94.1143,94.1571,94.2,94.2429,94.2857,94.3286,94.3714,94.4143,94.4571,94.5,94.5429,94.5857,94.6286,94.6714,94.7143,94.7571,94.8,94.8429,94.8857,94.9286,94.9714,95.0143,95.0571,95.1,95.1429,95.1857,95.2286,95.2714,95.3143,95.3571,95.4,95.4429,95.4857,95.5286,95.5714,95.6143,95.6571,95.7,95.7429,95.7857,95.8286,95.8714,95.9143,95.9571,96,96.0429,96.0857,96.1286,96.1714,96.2143,96.2571,96.3,96.3429,96.3857,96.4286,96.4714,96.5143,96.5571,96.6,96.6429,96.6857,96.7286,96.7714,96.8143,96.8571,96.9,96.9429,96.9857,97.0286,97.0714,97.1143,97.1571,97.2,97.2429,97.2857,97.3286,97.3714,97.4143,97.4571,97.5,97.5429,97.5857,97.6286,97.6714,97.7143,97.7571,97.8,97.8429,97.8857,97.9286,97.9714,98.0143,98.0571,98.1,98.1429,98.1857,98.2286,98.2714,98.3143,98.3571,98.4,98.4429,98.4857,98.5286,98.5714,98.6143,98.6571,98.7,98.7429,98.7857,98.8286,98.8714,98.9143,98.9571,99,99.0429,99.0857,99.1286,99.1714,99.2143,99.2571,99.3,99.3429,99.3857,99.4286,99.4714,99.5143,99.5571,99.6,99.6429,99.6857,99.7286,99.7714,99.8143,99.8571,99.9,99.9429,99.9857,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [38,32,35]
+			},
+			"evaluatedVariables": 11,
+			"nativeVariables": 4,
+			"constructedVariables": 7,
+			"informativeVariables": 9,
+			"selectedVariables": 3,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 100
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.653844,
+				"parts": 3,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R02",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"level": 0.620475,
+				"parts": 3,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R03",
+				"name": "PetalLength",
+				"type": "Numerical",
+				"level": 0.61243,
+				"parts": 4,
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R04",
+				"name": "LowerPetalLength",
+				"type": "Numerical",
+				"level": 0.478809,
+				"parts": 2,
+				"values": 10,
+				"min": 1,
+				"max": 3,
+				"mean": 2.446666667,
+				"stdDev": 0.7433600251,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 15.1066,
+				"dataCost": 44.0428,
+				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
+			},
+			{
+				"rank": "R05",
+				"name": "Class1",
+				"type": "Categorical",
+				"level": 0.473012,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 67,
+				"missingNumber": 67,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 15.7997,
+				"dataCost": 44.0428,
+				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
+			},
+			{
+				"rank": "R06",
+				"name": "Class2",
+				"type": "Categorical",
+				"level": 0.439898,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 73,
+				"missingNumber": 73,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 15.6381,
+				"dataCost": 48.1645,
+				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
+			},
+			{
+				"rank": "R07",
+				"name": "UpperPetalWidth",
+				"type": "Numerical",
+				"level": 0.329416,
+				"parts": 2,
+				"values": 11,
+				"min": 1.5,
+				"max": 2.5,
+				"mean": 1.692380952,
+				"stdDev": 0.2962287527,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 20.5402,
+				"dataCost": 56.4745,
+				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
+			},
+			{
+				"rank": "R08",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.322668,
+				"parts": 3,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 26.2686,
+				"dataCost": 51.5531
+			},
+			{
+				"rank": "R09",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.107493,
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"preparationCost": 23.4061,
+				"dataCost": 80.1477
+			},
+			{
+				"rank": "R10",
+				"name": "Dummy1",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R11",
+				"name": "Dummy2",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 105,
+				"min": 0.005121241265,
+				"max": 0.9859650261,
+				"mean": 0.5173966838,
+				"stdDev": 0.2650019122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Random()"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,2,32],
+						[0,30,3]
+					],
+					"partInterests": [0.39638,0.307127,0.296494]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.15],
+								[3.15,4.75],
+								[4.75,5.15],
+								[5.15,6.9]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,1,0],
+						[0,26,0],
+						[0,5,9],
+						[0,0,26]
+					],
+					"partInterests": [0.347012,0.304909,0.066166,0.281913]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,32,35]
+					],
+					"partInterests": [0.561997,0.438003]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,32,35],
+						[38,0,0]
+					],
+					"partInterests": [0.438003,0.561997]
+				},
+				"inputValues": {
+					"values": ["","setosa"],
+					"frequencies": [67,38]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,35],
+						[0,32,0]
+					],
+					"partInterests": [0.41103,0.58897]
+				},
+				"inputValues": {
+					"values": ["","versicolor"],
+					"frequencies": [73,32]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.390205,0.609795]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[34,5,0],
+						[4,19,5],
+						[0,8,30]
+					],
+					"partInterests": [0.449729,0.147253,0.403018]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,18,12],
+						[17,13,19],
+						[21,1,4]
+					],
+					"partInterests": [0.544113,0.0133569,0.44253]
+				}
+			}
+		}
+	},
+	"bivariatePreparationReport": {
+		"reportType": "BivariatePreparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [38,32,35]
+			},
+			"evaluatedVariablePairs": 45,
+			"informativeVariablePairs": 0,
+			"selectedVariablePairs": 0
+		},
+		"variablesPairsStatistics": [
+			{
+				"rank": "R01",
+				"name1": "Class1",
+				"name2": "Dummy2",
+				"deltaLevel": -0.0288536,
+				"level": 0.444159,
+				"level1": 0.473012,
+				"level2": 0,
+				"variables": 1,
+				"parts1": 2,
+				"parts2": 1,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.7997,
+				"dataCost": 44.0428
+			},
+			{
+				"rank": "R02",
+				"name1": "Class2",
+				"name2": "Dummy2",
+				"deltaLevel": -0.0288536,
+				"level": 0.411044,
+				"level1": 0.439898,
+				"level2": 0,
+				"variables": 1,
+				"parts1": 2,
+				"parts2": 1,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.6381,
+				"dataCost": 48.1645
+			},
+			{
+				"rank": "R03",
+				"name1": "Dummy2",
+				"name2": "LowerPetalLength",
+				"deltaLevel": -0.0288536,
+				"level": 0.449955,
+				"level1": 0,
+				"level2": 0.478809,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.1066,
+				"dataCost": 44.0428
+			},
+			{
+				"rank": "R04",
+				"name1": "Dummy2",
+				"name2": "PetalLength",
+				"deltaLevel": -0.0288536,
+				"level": 0.583577,
+				"level1": 0,
+				"level2": 0.61243,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 4,
+				"cells": 4,
+				"constructionCost": 6.62856,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R05",
+				"name1": "Dummy2",
+				"name2": "PetalWidth",
+				"deltaLevel": -0.0288536,
+				"level": 0.62499,
+				"level1": 0,
+				"level2": 0.653844,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R06",
+				"name1": "Dummy2",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.0288536,
+				"level": 0.591622,
+				"level1": 0,
+				"level2": 0.620475,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R07",
+				"name1": "Dummy2",
+				"name2": "SepalLength",
+				"deltaLevel": -0.0288536,
+				"level": 0.293814,
+				"level1": 0,
+				"level2": 0.322668,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 26.2686,
+				"dataCost": 51.5531
+			},
+			{
+				"rank": "R08",
+				"name1": "Dummy2",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.0288536,
+				"level": 0.0786391,
+				"level1": 0,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 23.4061,
+				"dataCost": 80.1477
+			},
+			{
+				"rank": "R09",
+				"name1": "Dummy2",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.0288536,
+				"level": 0.300563,
+				"level1": 0,
+				"level2": 0.329416,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 20.5402,
+				"dataCost": 56.4745
+			},
+			{
+				"rank": "R10",
+				"name1": "SepalWidth",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.0439741,
+				"level": 0.392935,
+				"level1": 0.107493,
+				"level2": 0.329416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.172,
+				"dataCost": 39.3984
+			},
+			{
+				"rank": "R11",
+				"name1": "Class2",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.0976395,
+				"level": 0.671675,
+				"level1": 0.439898,
+				"level2": 0.329416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 23.5775,
+				"dataCost": 6.65929
+			},
+			{
+				"rank": "R12",
+				"name1": "SepalLength",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.121906,
+				"level": 0.308255,
+				"level1": 0.322668,
+				"level2": 0.107493,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.3329,
+				"dataCost": 49.3641
+			},
+			{
+				"rank": "R13",
+				"name1": "Class2",
+				"name2": "SepalLength",
+				"deltaLevel": -0.128245,
+				"level": 0.63432,
+				"level1": 0.439898,
+				"level2": 0.322668,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.5695,
+				"dataCost": 10.1344
+			},
+			{
+				"rank": "R14",
+				"name1": "Class1",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.444159,
+				"level1": 0.473012,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 2,
+				"parts2": 1,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.7997,
+				"dataCost": 44.0428
+			},
+			{
+				"rank": "R15",
+				"name1": "Class2",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.411044,
+				"level1": 0.439898,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 2,
+				"parts2": 1,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.6381,
+				"dataCost": 48.1645
+			},
+			{
+				"rank": "R16",
+				"name1": "LowerPetalLength",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.449955,
+				"level1": 0.478809,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 2,
+				"parts2": 1,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.1066,
+				"dataCost": 44.0428
+			},
+			{
+				"rank": "R17",
+				"name1": "PetalLength",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.583577,
+				"level1": 0.61243,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 4,
+				"parts2": 1,
+				"cells": 4,
+				"constructionCost": 6.62856,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R18",
+				"name1": "PetalWidth",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.62499,
+				"level1": 0.653844,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R19",
+				"name1": "SPetalLength",
+				"name2": "SepalWidth",
+				"deltaLevel": -0.136346,
+				"level": 0.591622,
+				"level1": 0.620475,
+				"level2": 0.107493,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R20",
+				"name1": "Class2",
+				"name2": "LowerPetalLength",
+				"deltaLevel": -0.168707,
+				"level": 0.749999,
+				"level1": 0.439898,
+				"level2": 0.478809,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 20.8703,
+				"dataCost": 0
+			},
+			{
+				"rank": "R21",
+				"name1": "Class1",
+				"name2": "Class2",
+				"deltaLevel": -0.196941,
+				"level": 0.715969,
+				"level1": 0.473012,
+				"level2": 0.439898,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.9398,
+				"dataCost": 0
+			},
+			{
+				"rank": "R22",
+				"name1": "Class1",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.203907,
+				"level": 0.598522,
+				"level1": 0.473012,
+				"level2": 0.329416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 29.1894,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R23",
+				"name1": "LowerPetalLength",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.212171,
+				"level": 0.596054,
+				"level1": 0.478809,
+				"level2": 0.329416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 20.1475,
+				"dataCost": 19.1326
+			},
+			{
+				"rank": "R24",
+				"name1": "SepalLength",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.249148,
+				"level": 0.402937,
+				"level1": 0.322668,
+				"level2": 0.329416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 29.1594,
+				"dataCost": 33.2149
+			},
+			{
+				"rank": "R25",
+				"name1": "Class1",
+				"name2": "SepalLength",
+				"deltaLevel": -0.326251,
+				"level": 0.469429,
+				"level1": 0.473012,
+				"level2": 0.322668,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 25.0325,
+				"dataCost": 29.3902
+			},
+			{
+				"rank": "R26",
+				"name1": "Class2",
+				"name2": "PetalLength",
+				"deltaLevel": -0.333475,
+				"level": 0.718853,
+				"level1": 0.439898,
+				"level2": 0.61243,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.5949,
+				"dataCost": 0
+			},
+			{
+				"rank": "R27",
+				"name1": "LowerPetalLength",
+				"name2": "SepalLength",
+				"deltaLevel": -0.348267,
+				"level": 0.45321,
+				"level1": 0.478809,
+				"level2": 0.322668,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 26.9721,
+				"dataCost": 29.3902
+			},
+			{
+				"rank": "R28",
+				"name1": "PetalLength",
+				"name2": "SepalLength",
+				"deltaLevel": -0.351521,
+				"level": 0.583577,
+				"level1": 0.61243,
+				"level2": 0.322668,
+				"variables": 1,
+				"parts1": 4,
+				"parts2": 1,
+				"cells": 4,
+				"constructionCost": 6.62856,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R29",
+				"name1": "PetalWidth",
+				"name2": "SepalLength",
+				"deltaLevel": -0.351521,
+				"level": 0.62499,
+				"level1": 0.653844,
+				"level2": 0.322668,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R30",
+				"name1": "SPetalLength",
+				"name2": "SepalLength",
+				"deltaLevel": -0.351521,
+				"level": 0.591622,
+				"level1": 0.620475,
+				"level2": 0.322668,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R31",
+				"name1": "PetalLength",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.35827,
+				"level": 0.583577,
+				"level1": 0.61243,
+				"level2": 0.329416,
+				"variables": 1,
+				"parts1": 4,
+				"parts2": 1,
+				"cells": 4,
+				"constructionCost": 6.62856,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R32",
+				"name1": "PetalWidth",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.35827,
+				"level": 0.62499,
+				"level1": 0.653844,
+				"level2": 0.329416,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R33",
+				"name1": "SPetalLength",
+				"name2": "UpperPetalWidth",
+				"deltaLevel": -0.35827,
+				"level": 0.591622,
+				"level1": 0.620475,
+				"level2": 0.329416,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R34",
+				"name1": "Class2",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.366871,
+				"level": 0.693503,
+				"level1": 0.439898,
+				"level2": 0.620475,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 27.6265,
+				"dataCost": 0
+			},
+			{
+				"rank": "R35",
+				"name1": "Class2",
+				"name2": "PetalWidth",
+				"deltaLevel": -0.374723,
+				"level": 0.719019,
+				"level1": 0.439898,
+				"level2": 0.653844,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.5751,
+				"dataCost": 0
+			},
+			{
+				"rank": "R36",
+				"name1": "Class1",
+				"name2": "PetalLength",
+				"deltaLevel": -0.481968,
+				"level": 0.603475,
+				"level1": 0.473012,
+				"level2": 0.61243,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 24.9956,
+				"dataCost": 13.397
+			},
+			{
+				"rank": "R37",
+				"name1": "Class1",
+				"name2": "LowerPetalLength",
+				"deltaLevel": -0.501866,
+				"level": 0.449955,
+				"level1": 0.473012,
+				"level2": 0.478809,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.62856,
+				"preparationCost": 15.1066,
+				"dataCost": 44.0428
+			},
+			{
+				"rank": "R38",
+				"name1": "LowerPetalLength",
+				"name2": "PetalLength",
+				"deltaLevel": -0.503983,
+				"level": 0.587256,
+				"level1": 0.478809,
+				"level2": 0.61243,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 26.9352,
+				"dataCost": 13.397
+			},
+			{
+				"rank": "R39",
+				"name1": "LowerPetalLength",
+				"name2": "PetalWidth",
+				"deltaLevel": -0.507662,
+				"level": 0.62499,
+				"level1": 0.478809,
+				"level2": 0.653844,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R40",
+				"name1": "LowerPetalLength",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.507662,
+				"level": 0.591622,
+				"level1": 0.478809,
+				"level2": 0.620475,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R41",
+				"name1": "Class1",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.512711,
+				"level": 0.580776,
+				"level1": 0.473012,
+				"level2": 0.620475,
+				"variables": 1,
+				"parts1": 1,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.5707,
+				"dataCost": 14.9342
+			},
+			{
+				"rank": "R42",
+				"name1": "Class1",
+				"name2": "PetalWidth",
+				"deltaLevel": -0.528334,
+				"level": 0.598522,
+				"level1": 0.473012,
+				"level2": 0.653844,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 29.1894,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R43",
+				"name1": "PetalLength",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.645511,
+				"level": 0.587395,
+				"level1": 0.61243,
+				"level2": 0.620475,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 26.9186,
+				"dataCost": 13.397
+			},
+			{
+				"rank": "R44",
+				"name1": "PetalWidth",
+				"name2": "SPetalLength",
+				"deltaLevel": -0.649329,
+				"level": 0.62499,
+				"level1": 0.653844,
+				"level2": 0.620475,
+				"variables": 1,
+				"parts1": 3,
+				"parts2": 1,
+				"cells": 3,
+				"constructionCost": 6.62856,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R45",
+				"name1": "PetalLength",
+				"name2": "PetalWidth",
+				"deltaLevel": -0.679019,
+				"level": 0.587256,
+				"level1": 0.61243,
+				"level2": 0.653844,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 9.02645,
+				"preparationCost": 26.9352,
+				"dataCost": 13.397
+			}
+		],
+		"variablesPairsDetailedStatistics": {
+			"R10": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,3.05],
+								[3.05,4.4]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[7,25,2],
+						[31,2,0],
+						[0,2,20],
+						[0,3,13]
+					],
+					"cellInterests": [0.212492,0.383327,0.256821,0.14736]
+				}
+			},
+			"R11": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,2],
+						[0,27,0],
+						[0,0,33],
+						[0,5,0]
+					],
+					"cellInterests": [0.306831,0.299395,0.33833,0.0554436]
+				}
+			},
+			"R12": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.75],
+								[5.75,7.7]
+							]
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,3.05],
+								[3.05,4.4]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[7,14,2],
+						[0,13,20],
+						[30,0,0],
+						[1,5,13]
+					],
+					"cellInterests": [0.099304,0.262519,0.523397,0.11478]
+				}
+			},
+			"R13": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.75],
+								[5.75,7.7]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[37,0,2],
+						[0,14,0],
+						[1,0,33],
+						[0,18,0]
+					],
+					"cellInterests": [0.310764,0.161983,0.318989,0.208264]
+				}
+			},
+			"R20": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,0,35],
+						[0,32,0]
+					],
+					"cellInterests": [0.335563,0.334079,0.330358]
+				}
+			},
+			"R21": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,0,35],
+						[38,0,0],
+						[0,32,0]
+					],
+					"cellInterests": [0.334079,0.335563,0.330358]
+				}
+			},
+			"R22": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,31,2],
+						[38,0,0],
+						[0,1,33]
+					],
+					"cellInterests": [0.305582,0.374826,0.319592]
+				}
+			},
+			"R23": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,27,2],
+						[0,5,33]
+					],
+					"cellInterests": [0.415191,0.290269,0.294541]
+				}
+			},
+			"R24": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,7.7]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[34,5,0],
+						[4,26,2],
+						[0,1,33]
+					],
+					"cellInterests": [0.334637,0.234263,0.431099]
+				}
+			},
+			"R25": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,24,5],
+						[38,0,0],
+						[0,8,30]
+					],
+					"cellInterests": [0.251546,0.469806,0.278648]
+				}
+			},
+			"R26": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.2],
+								[4.2,6.9]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,15,0],
+						[0,0,35],
+						[0,17,0]
+					],
+					"cellInterests": [0.335563,0.154855,0.334079,0.175503]
+				}
+			},
+			"R27": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,24,5],
+						[0,8,30]
+					],
+					"cellInterests": [0.469806,0.251546,0.278648]
+				}
+			},
+			"R34": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["5","4","3","6"],
+								["1"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,0,35],
+						[0,32,0],
+						[38,0,0]
+					],
+					"cellInterests": [0.334079,0.330358,0.335563]
+				}
+			},
+			"R35": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,1.35],
+								[1.35,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,18,0],
+						[0,0,35],
+						[0,14,0]
+					],
+					"cellInterests": [0.335563,0.185826,0.334079,0.144532]
+				}
+			},
+			"R36": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,27,0],
+						[38,0,0],
+						[0,5,35]
+					],
+					"cellInterests": [0.320737,0.386122,0.293141]
+				}
+			},
+			"R38": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,27,0],
+						[0,5,35]
+					],
+					"cellInterests": [0.386122,0.320737,0.293141]
+				}
+			},
+			"R42": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,31,2],
+						[38,0,0],
+						[0,1,33]
+					],
+					"cellInterests": [0.305582,0.374826,0.319592]
+				}
+			},
+			"R43": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["5","4","3"],
+								["1"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellTargetFrequencies": [
+						[0,27,0],
+						[0,5,35],
+						[38,0,0]
+					],
+					"cellInterests": [0.320737,0.293141,0.386122]
+				}
+			},
+			"R45": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,2.5]
+							]
+						},
+						{
+							"variable": "Target",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"cellIds": ["C1","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1]
+					],
+					"cellTargetFrequencies": [
+						[38,0,0],
+						[0,27,0],
+						[0,5,35]
+					],
+					"cellInterests": [0.386122,0.320737,0.293141]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisC.khj b/tests/resources/analysis_results/ref_json_reports/IrisC.khj
index acc1f96d..dda4a45d 100644
--- a/tests/resources/analysis_results/ref_json_reports/IrisC.khj
+++ b/tests/resources/analysis_results/ref_json_reports/IrisC.khj
@@ -1,838 +1,844 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"variables": 4
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"variables": 1
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"selectedVariables": [
-					{
-						"preparedName": "PClass2",
-						"name": "Class2",
-						"level": 0.473857,
-						"weight": 0.507812,
-						"importance": 0.490541
-					},
-					{
-						"preparedName": "PPetalLength",
-						"name": "PetalLength",
-						"level": 0.635667,
-						"weight": 0.164062,
-						"importance": 0.322938
-					},
-					{
-						"preparedName": "PClass1",
-						"name": "Class1",
-						"level": 0.441125,
-						"weight": 0.210938,
-						"importance": 0.305041
-					},
-					{
-						"preparedName": "PLowerPetalLength",
-						"name": "LowerPetalLength",
-						"level": 0.447267,
-						"weight": 0.171875,
-						"importance": 0.277262
-					}
-				]
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.98326,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.969697,
-				"compression": 0.884895,
-				"auc": 0.983648
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,37,0],
-						[0,0,31]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,36,2],
-						[31,0,0],
-						[0,1,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.253485,0.50697,0.760455,1.01394,1.26743,1.52091,1.7744,2.02788,2.28137,2.53485,2.78834,3.04182,3.29531,3.54879,3.80228,4.05576,4.30925,4.56273,4.81622,5.0697,5.32319,5.57667,5.83016,6.08364,6.33713,6.59061,6.8441,7.09758,7.35107,7.60455,7.85804,8.11152,8.36501,8.61849,8.87198,9.12546,9.37895,9.63243,9.88592,10.1394,10.3929,10.6464,10.8999,11.1533,11.4068,11.6603,11.9138,12.1673,12.4208,12.6743,12.9277,13.1812,13.4347,13.6882,13.9417,14.1952,14.4486,14.7021,14.9556,15.2091,15.4626,15.7161,15.9696,16.223,16.4765,16.73,16.9835,17.237,17.4905,17.744,17.9974,18.2509,18.5044,18.7579,19.0114,19.2649,19.5183,19.7718,20.0253,20.2788,20.5323,20.7858,21.0393,21.2927,21.5462,21.7997,22.0532,22.3067,22.5602,22.8137,23.0671,23.3206,23.5741,23.8276,24.0811,24.3346,24.5881,24.8415,25.095,25.3485,25.602,25.8555,26.109,26.3624,26.6159,26.8694,27.1229,27.3764,27.6299,27.8834,28.1368,28.3903,28.6438,28.8973,29.1508,29.4043,29.6578,29.9112,30.1647,30.4182,30.6717,30.9252,31.1787,31.4321,31.6856,31.9391,32.1926,32.4461,32.6996,32.9531,33.2065,33.46,33.7135,33.967,34.2205,34.474,34.7275,34.9809,35.2344,35.4879,35.7414,35.9949,36.2484,36.5018,36.7553,37.0088,37.2623,37.5158,37.7693,38.0228,38.2762,38.5297,38.7832,39.0367,39.2902,39.5437,39.7972,40.0506,40.3041,40.5576,40.8111,41.0646,41.3181,41.5716,41.825,42.0785,42.332,42.5855,42.839,43.0925,43.3459,43.5994,43.8529,44.1064,44.3599,44.6134,44.8669,45.1203,45.3738,45.6273,45.8808,46.1343,46.3878,46.6413,46.8947,47.1482,47.4017,47.6552,47.9087,48.1622,48.4156,48.6691,48.9226,49.1761,49.4296,49.6831,49.9366,50.19,50.4435,50.697,50.9505,51.204,51.4575,51.711,51.9644,52.2179,52.4714,52.7249,52.9784,53.2319,53.4853,53.7388,53.9923,54.2458,54.4993,54.7528,55.0063,55.2597,55.5132,55.7667,56.0202,56.2737,56.5272,56.7807,57.0341,57.2876,57.5411,57.7946,58.0481,58.3016,58.555,58.8085,59.062,59.3155,59.569,59.8225,60.076,60.3294,60.5829,60.8364,61.0899,61.3434,61.5969,61.8504,62.1038,62.3573,62.6108,62.8643,63.1178,63.3713,63.6248,63.8782,64.1317,64.3852,64.6387,64.8922,65.1457,65.3991,65.6526,65.9061,66.1596,66.4131,66.6666,66.9201,67.1735,67.427,67.6805,67.934,68.1875,68.441,68.6945,68.9479,69.2014,69.4549,69.7084,69.9619,70.2154,70.4688,70.7223,70.9758,71.2293,71.4828,71.7363,71.9898,72.2432,72.4967,72.7502,73.0037,73.2572,73.5107,73.7642,74.0176,74.2711,74.5246,74.7781,75.0316,75.2851,75.5385,75.792,76.0455,76.299,76.5525,76.806,77.0595,77.3129,77.5664,77.8199,78.0734,78.3269,78.5804,78.8339,79.0873,79.3408,79.5943,79.8478,80.1013,80.3548,80.6083,80.8617,81.1152,81.3687,81.6222,81.8757,82.1292,82.3826,82.6361,82.8896,83.1431,83.3966,83.6501,83.9036,84.157,84.4105,84.664,84.9175,85.171,85.4245,85.678,85.9314,86.1849,86.4384,86.6919,86.9454,87.1989,87.4523,87.7058,87.9593,88.2128,88.4663,88.7198,88.9733,89.2267,89.4802,89.7337,89.9872,90.2407,90.4942,90.7477,91.0011,91.2546,91.5081,91.7616,92.0151,92.2686,92.522,92.7755,93.029,93.2825,93.536,93.7895,94.043,94.2964,94.5499,94.8034,95.0569,95.3104,95.5639,95.8174,96.0708,96.3243,96.5778,96.8313,97.0848,97.2987,97.3077,97.3166,97.3255,97.3344,97.3433,97.3523,97.3612,97.3701,97.379,97.3879,97.3968,97.4058,97.4147,97.4236,97.4325,97.4414,97.4504,97.4593,97.4682,97.4771,97.486,97.495,97.5039,97.5128,97.5217,97.5306,97.5395,97.5485,97.5574,97.5663,97.5752,97.5841,97.5931,97.602,97.6109,97.6198,97.6287,97.6377,97.6466,97.6555,97.6644,97.6733,97.6823,97.6912,97.7001,97.709,97.7179,97.7268,97.7358,97.7447,97.7536,97.7625,97.7714,97.7804,97.7893,97.7982,97.8071,97.816,97.825,97.8339,97.8428,97.8517,97.8606,97.8695,97.8785,97.8874,97.8963,97.9052,97.9141,97.9231,97.932,97.9409,97.9498,97.9587,97.9677,97.9766,97.9855,97.9944,98.0033,98.0123,98.0212,98.0301,98.039,98.0479,98.0568,98.0658,98.0747,98.0836,98.0925,98.1014,98.1104,98.1193,98.1282,98.1371,98.146,98.155,98.1639,98.1728,98.1817,98.1906,98.1995,98.2085,98.2174,98.2263,98.2352,98.2441,98.2531,98.262,98.2709,98.2798,98.2887,98.2977,98.3066,98.3155,98.3244,98.3333,98.3423,98.3512,98.3601,98.369,98.3779,98.3868,98.3958,98.4047,98.4136,98.4225,98.4314,98.4404,98.4493,98.4582,98.4671,98.476,98.485,98.4939,98.5028,98.5117,98.5206,98.5295,98.5385,98.5474,98.5563,98.5652,98.5741,98.5831,98.592,98.6009,98.6098,98.6187,98.6277,98.6366,98.6455,98.6544,98.6633,98.6723,98.6812,98.6901,98.699,98.7079,98.7168,98.7258,98.7347,98.7436,98.7525,98.7614,98.7704,98.7793,98.7882,98.7971,98.806,98.815,98.8239,98.8328,98.8417,98.8506,98.8595,98.8685,98.8774,98.8863,98.8952,98.9041,98.9131,98.922,98.9309,98.9398,98.9487,98.9577,98.9666,98.9755,98.9844,98.9933,99.0023,99.0112,99.0201,99.029,99.0379,99.0468,99.0558,99.0647,99.0736,99.0825,99.0914,99.1004,99.1093,99.1182,99.1271,99.136,99.145,99.1539,99.1628,99.1717,99.1806,99.1895,99.1985,99.2074,99.2163,99.2252,99.2341,99.2431,99.252,99.2609,99.2698,99.2787,99.2877,99.2966,99.3055,99.3144,99.3233,99.3323,99.3412,99.3501,99.359,99.3679,99.3768,99.3858,99.3947,99.4036,99.4125,99.4214,99.4304,99.4393,99.4482,99.4571,99.466,99.475,99.4839,99.4928,99.5017,99.5106,99.5195,99.5285,99.5374,99.5463,99.5552,99.5641,99.5731,99.582,99.5909,99.5998,99.6087,99.6177,99.6266,99.6355,99.6444,99.6533,99.6623,99.6712,99.6801,99.689,99.6979,99.7068,99.7158,99.7247,99.7336,99.7425,99.7514,99.7604,99.7693,99.7782,99.7871,99.796,99.805,99.8139,99.8228,99.8317,99.8406,99.8495,99.8585,99.8674,99.8763,99.8852,99.8941,99.9031,99.912,99.9209,99.9298,99.9387,99.9477,99.9566,99.9655,99.9744,99.9833,99.9923,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.30871,0.617419,0.926129,1.23484,1.54355,1.85226,2.16097,2.46968,2.77839,3.0871,3.39581,3.70452,4.01323,4.32194,4.63065,4.93935,5.24806,5.55677,5.86548,6.17419,6.4829,6.79161,7.10032,7.40903,7.71774,8.02645,8.33516,8.64387,8.95258,9.26129,9.57,9.87871,10.1874,10.4961,10.8048,11.1135,11.4223,11.731,12.0397,12.3484,12.6571,12.9658,13.2745,13.5832,13.8919,14.2006,14.5094,14.8181,15.1268,15.4355,15.7442,16.0529,16.3616,16.6703,16.979,17.2877,17.5965,17.9052,18.2139,18.5226,18.8313,19.14,19.4487,19.7574,20.0661,20.3748,20.6835,20.9923,21.301,21.6097,21.9184,22.2271,22.5358,22.8445,23.1532,23.4619,23.7706,24.0794,24.3881,24.6968,25.0055,25.3142,25.6229,25.9316,26.2403,26.549,26.8577,27.1665,27.4752,27.7839,28.0926,28.4013,28.71,29.0187,29.3274,29.6361,29.9448,30.2535,30.5623,30.871,31.1797,31.4884,31.7971,32.1058,32.4145,32.7232,33.0319,33.3406,33.6494,33.9581,34.2668,34.5755,34.8842,35.1929,35.5016,35.8103,36.119,36.4277,36.7365,37.0452,37.3539,37.6626,37.9713,38.28,38.5887,38.8974,39.2061,39.5148,39.8235,40.1323,40.441,40.7497,41.0584,41.3671,41.6758,41.9845,42.2932,42.6019,42.9106,43.2194,43.5281,43.8368,44.1455,44.4542,44.7629,45.0716,45.3803,45.689,45.9977,46.3065,46.6152,46.9239,47.2326,47.5413,47.85,48.1587,48.4674,48.7761,49.0848,49.3935,49.7023,50.011,50.3197,50.6284,50.9371,51.2458,51.5545,51.8632,52.1719,52.4806,52.7894,53.0981,53.4068,53.7155,54.0242,54.3329,54.6416,54.9503,55.259,55.5677,55.8765,56.1852,56.4939,56.8026,57.1113,57.42,57.7287,58.0374,58.3461,58.6548,58.9635,59.2723,59.581,59.8897,60.1984,60.5071,60.8158,61.1245,61.4332,61.7419,62.0506,62.3594,62.6681,62.9768,63.2855,63.5942,63.9029,64.2116,64.5203,64.829,65.1377,65.4465,65.7552,66.0639,66.3726,66.6813,66.99,67.2987,67.6074,67.9161,68.2248,68.5335,68.8423,69.151,69.4597,69.7684,70.0771,70.3858,70.6945,71.0032,71.3119,71.6206,71.9294,72.2381,72.5468,72.8555,73.1642,73.4729,73.7816,74.0903,74.399,74.7077,75.0165,75.3252,75.6339,75.9426,76.2513,76.56,76.8687,77.1774,77.4861,77.7948,78.1035,78.4123,78.721,79.0297,79.3384,79.6471,79.9558,80.2645,80.5732,80.8819,81.1906,81.4994,81.8081,82.1168,82.4255,82.7342,83.0429,83.3516,83.6603,83.969,84.2777,84.5865,84.8952,85.2039,85.5126,85.8213,86.13,86.4387,86.7474,87.0561,87.3648,87.6735,87.9823,88.291,88.5997,88.9084,89.2171,89.5258,89.8345,90.1432,90.4519,90.7606,91.0694,91.3781,91.6868,91.9955,92.3042,92.6129,92.9216,93.2303,93.539,93.5647,93.5815,93.5983,93.6151,93.6319,93.6487,93.6655,93.6823,93.6992,93.716,93.7328,93.7496,93.7664,93.7832,93.8,93.8168,93.8336,93.8504,93.8672,93.884,93.9008,93.9177,93.9345,93.9513,93.9681,93.9849,94.0017,94.0185,94.0353,94.0521,94.0689,94.0857,94.1025,94.1194,94.1362,94.153,94.1698,94.1866,94.2034,94.2202,94.237,94.2538,94.2706,94.2874,94.3042,94.3211,94.3379,94.3547,94.3715,94.3883,94.4051,94.4219,94.4387,94.4555,94.4723,94.4891,94.5059,94.5228,94.5396,94.5564,94.5732,94.59,94.6068,94.6236,94.6404,94.6572,94.674,94.6908,94.7076,94.7244,94.7413,94.7581,94.7749,94.7917,94.8085,94.8253,94.8421,94.8589,94.8757,94.8925,94.9093,94.9261,94.943,94.9598,94.9766,94.9934,95.0102,95.027,95.0438,95.0606,95.0774,95.0942,95.111,95.1278,95.1447,95.1615,95.1783,95.1951,95.2119,95.2287,95.2455,95.2623,95.2791,95.2959,95.3127,95.3295,95.3463,95.3632,95.38,95.3968,95.4136,95.4304,95.4472,95.464,95.4808,95.4976,95.5144,95.5312,95.548,95.5649,95.5817,95.5985,95.6153,95.6321,95.6489,95.6657,95.6825,95.6993,95.7161,95.7329,95.7497,95.7666,95.7834,95.8002,95.817,95.8338,95.8506,95.8674,95.8842,95.901,95.9178,95.9346,95.9514,95.9683,95.9851,96.0019,96.0187,96.0355,96.0523,96.0691,96.0859,96.1027,96.1195,96.1363,96.1531,96.1699,96.1868,96.2036,96.2204,96.2372,96.254,96.2708,96.2876,96.3044,96.3212,96.338,96.3548,96.3716,96.3885,96.4053,96.4221,96.4389,96.4557,96.4725,96.4893,96.5061,96.5229,96.5397,96.5565,96.5733,96.5902,96.607,96.6238,96.6406,96.6574,96.6742,96.691,96.7078,96.7246,96.7414,96.7582,96.775,96.7919,96.8087,96.8255,96.8423,96.8591,96.8759,96.8927,96.9095,96.9263,96.9431,96.9599,96.9767,96.9935,97.0104,97.0272,97.044,97.0608,97.0776,97.0944,97.1112,97.128,97.1448,97.1616,97.1784,97.1952,97.2121,97.2289,97.2457,97.2625,97.2793,97.2961,97.3129,97.3297,97.3465,97.3633,97.3801,97.3969,97.4138,97.4306,97.4474,97.4642,97.481,97.4978,97.5146,97.5314,97.5482,97.565,97.5818,97.5986,97.6154,97.6323,97.6491,97.6659,97.6827,97.6995,97.7163,97.7331,97.7499,97.7667,97.7835,97.8003,97.8171,97.834,97.8508,97.8676,97.8844,97.9012,97.918,97.9348,97.9516,97.9684,97.9852,98.002,98.0188,98.0357,98.0525,98.0693,98.0861,98.1029,98.1197,98.1365,98.1533,98.1701,98.1869,98.2037,98.2205,98.2374,98.2542,98.271,98.2878,98.3046,98.3214,98.3382,98.355,98.3718,98.3886,98.4054,98.4222,98.439,98.4559,98.4727,98.4895,98.5063,98.5231,98.5399,98.5567,98.5735,98.5903,98.6071,98.6239,98.6407,98.6576,98.6744,98.6912,98.708,98.7248,98.7416,98.7584,98.7752,98.792,98.8088,98.8256,98.8424,98.8593,98.8761,98.8929,98.9097,98.9265,98.9433,98.9601,98.9769,98.9937,99.0105,99.0273,99.0441,99.061,99.0778,99.0946,99.1114,99.1282,99.145,99.1618,99.1786,99.1954,99.2122,99.229,99.2458,99.2626,99.2795,99.2963,99.3131,99.3299,99.3467,99.3635,99.3803,99.3971,99.4139,99.4307,99.4475,99.4643,99.4812,99.498,99.5148,99.5316,99.5484,99.5652,99.582,99.5988,99.6156,99.6324,99.6492,99.666,99.6829,99.6997,99.7165,99.7333,99.7501,99.7669,99.7837,99.8005,99.8173,99.8341,99.8509,99.8677,99.8846,99.9014,99.9182,99.935,99.9518,99.9686,99.9854,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 51,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.980738,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.901961,
-				"compression": 0.704425,
-				"auc": 0.95993
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,13,0],
-						[0,0,19]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,12,4],
-						[0,1,15]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,12,4],
-						[19,0,0],
-						[0,1,15]
-					],
-					"partInterests": [0.266843,0.44088,0.292278]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.294231,0.588462,0.882692,1.17692,1.47115,1.76538,2.05962,2.35385,2.64808,2.94231,3.23654,3.53077,3.825,4.11923,4.41346,4.70769,5.00192,5.29615,5.59038,5.88462,6.17885,6.47308,6.76731,7.06154,7.35577,7.65,7.94423,8.23846,8.53269,8.82692,9.12115,9.41538,9.70962,10.0038,10.2981,10.5923,10.8865,11.1808,11.475,11.7692,12.0635,12.3577,12.6519,12.9462,13.2404,13.5346,13.8288,14.1231,14.4173,14.7115,15.0058,15.3,15.5942,15.8885,16.1827,16.4769,16.7712,17.0654,17.3596,17.6538,17.9481,18.2423,18.5365,18.8308,19.125,19.4192,19.7135,20.0077,20.3019,20.5962,20.8904,21.1846,21.4788,21.7731,22.0673,22.3615,22.6558,22.95,23.2442,23.5385,23.8327,24.1269,24.4212,24.7154,25.0096,25.3038,25.5981,25.8923,26.1865,26.4808,26.775,27.0692,27.3635,27.6577,27.9519,28.2462,28.5404,28.8346,29.1288,29.4231,29.7173,30.0115,30.3058,30.6,30.8942,31.1885,31.4827,31.7769,32.0712,32.3654,32.6596,32.9538,33.2481,33.5423,33.8365,34.1308,34.425,34.7192,35.0135,35.3077,35.6019,35.8962,36.1904,36.4846,36.7788,37.0731,37.3673,37.6615,37.9558,38.25,38.5442,38.8385,39.1327,39.4269,39.7212,40.0154,40.3096,40.6038,40.8981,41.1923,41.4865,41.7808,42.075,42.3692,42.6635,42.9577,43.2519,43.5462,43.8404,44.1346,44.4288,44.7231,45.0173,45.3115,45.6058,45.9,46.1942,46.4885,46.7827,47.0769,47.3712,47.6654,47.9596,48.2538,48.5481,48.8423,49.1365,49.4308,49.725,50.0192,50.3135,50.6077,50.9019,51.1962,51.4904,51.7846,52.0788,52.3731,52.6673,52.9615,53.2558,53.55,53.8442,54.1385,54.4327,54.7269,55.0212,55.3154,55.6096,55.9038,56.1981,56.4923,56.7865,57.0808,57.375,57.6692,57.9635,58.2577,58.5519,58.8462,59.1404,59.4346,59.7288,60.0231,60.3173,60.6115,60.9058,61.2,61.4942,61.7885,62.0827,62.3769,62.6712,62.9654,63.2596,63.5538,63.8481,64.1423,64.4365,64.7308,65.025,65.3192,65.6135,65.9077,66.2019,66.4962,66.7904,67.0846,67.3788,67.6731,67.9673,68.2615,68.5558,68.85,69.1442,69.4385,69.7327,70.0269,70.3212,70.6154,70.9096,71.2038,71.4981,71.7923,72.0865,72.3808,72.675,72.9692,73.2635,73.5577,73.8519,74.1462,74.4404,74.7346,75.0288,75.3231,75.6173,75.9115,76.2058,76.5,76.7942,77.0885,77.3827,77.6769,77.9712,78.2654,78.5596,78.8538,79.1481,79.4423,79.7365,80.0308,80.325,80.6192,80.9135,81.2077,81.5019,81.7962,82.0904,82.3846,82.6788,82.9731,83.2673,83.5615,83.8558,84.15,84.4442,84.7385,85.0327,85.3269,85.6212,85.9154,86.2096,86.5038,86.7981,87.0923,87.3865,87.6808,87.975,88.2692,88.5635,88.8577,89.1519,89.4462,89.7404,90.0346,90.3288,90.6231,90.9173,91.2115,91.5058,91.8,92.0942,92.3144,92.3389,92.3635,92.388,92.4125,92.437,92.4615,92.4861,92.5106,92.5351,92.5596,92.5841,92.6087,92.6332,92.6577,92.6822,92.7067,92.7313,92.7558,92.7803,92.8048,92.8293,92.8538,92.8784,92.9029,92.9274,92.9519,92.9764,93.001,93.0255,93.05,93.0745,93.099,93.1236,93.1481,93.1726,93.1971,93.2216,93.2462,93.2707,93.2952,93.3197,93.3442,93.3688,93.3933,93.4178,93.4423,93.4668,93.4913,93.5159,93.5404,93.5649,93.5894,93.6139,93.6385,93.663,93.6875,93.712,93.7365,93.7611,93.7856,93.8101,93.8346,93.8591,93.8837,93.9082,93.9327,93.9572,93.9817,94.0063,94.0308,94.0553,94.0798,94.1043,94.1288,94.1534,94.1779,94.2024,94.2269,94.2514,94.276,94.3005,94.325,94.3495,94.374,94.3986,94.4231,94.4476,94.4721,94.4966,94.5212,94.5457,94.5702,94.5947,94.6192,94.6438,94.6683,94.6928,94.7173,94.7418,94.7663,94.7909,94.8154,94.8399,94.8644,94.8889,94.9135,94.938,94.9625,94.987,95.0115,95.0361,95.0606,95.0851,95.1096,95.1341,95.1587,95.1832,95.2077,95.2322,95.2567,95.2812,95.3058,95.3303,95.3548,95.3793,95.4038,95.4284,95.4529,95.4774,95.5019,95.5264,95.551,95.5755,95.6,95.6245,95.649,95.6736,95.6981,95.7226,95.7471,95.7716,95.7962,95.8207,95.8452,95.8697,95.8942,95.9188,95.9433,95.9678,95.9923,96.0168,96.0413,96.0659,96.0904,96.1149,96.1394,96.1639,96.1885,96.213,96.2375,96.262,96.2865,96.3111,96.3356,96.3601,96.3846,96.4091,96.4337,96.4582,96.4827,96.5072,96.5317,96.5563,96.5808,96.6053,96.6298,96.6543,96.6788,96.7034,96.7279,96.7524,96.7769,96.8014,96.826,96.8505,96.875,96.8995,96.924,96.9486,96.9731,96.9976,97.0221,97.0466,97.0712,97.0957,97.1202,97.1447,97.1692,97.1937,97.2183,97.2428,97.2673,97.2918,97.3163,97.3409,97.3654,97.3899,97.4144,97.4389,97.4635,97.488,97.5125,97.537,97.5615,97.5861,97.6106,97.6351,97.6596,97.6841,97.7087,97.7332,97.7577,97.7822,97.8067,97.8312,97.8558,97.8803,97.9048,97.9293,97.9538,97.9784,98.0029,98.0274,98.0519,98.0764,98.101,98.1255,98.15,98.1745,98.199,98.2236,98.2481,98.2726,98.2971,98.3216,98.3462,98.3707,98.3952,98.4197,98.4442,98.4688,98.4933,98.5178,98.5423,98.5668,98.5913,98.6159,98.6404,98.6649,98.6894,98.7139,98.7385,98.763,98.7875,98.812,98.8365,98.8611,98.8856,98.9101,98.9346,98.9591,98.9837,99.0082,99.0327,99.0572,99.0817,99.1062,99.1308,99.1553,99.1798,99.2043,99.2288,99.2534,99.2779,99.3024,99.3269,99.3514,99.376,99.4005,99.425,99.4495,99.474,99.4986,99.5231,99.5476,99.5721,99.5966,99.6212,99.6457,99.6702,99.6947,99.7192,99.7437,99.7683,99.7928,99.8173,99.8418,99.8663,99.8909,99.9154,99.9399,99.9644,99.9889,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.251645,0.503289,0.754934,1.00658,1.25822,1.50987,1.76151,2.01316,2.2648,2.51645,2.76809,3.01974,3.27138,3.52303,3.77467,4.02632,4.27796,4.52961,4.78125,5.03289,5.28454,5.53618,5.78783,6.03947,6.29112,6.54276,6.79441,7.04605,7.2977,7.54934,7.80099,8.05263,8.30428,8.55592,8.80757,9.05921,9.31086,9.5625,9.81414,10.0658,10.3174,10.5691,10.8207,11.0724,11.324,11.5757,11.8273,12.0789,12.3306,12.5822,12.8339,13.0855,13.3372,13.5888,13.8405,14.0921,14.3438,14.5954,14.847,15.0987,15.3503,15.602,15.8536,16.1053,16.3569,16.6086,16.8602,17.1118,17.3635,17.6151,17.8668,18.1184,18.3701,18.6217,18.8734,19.125,19.3766,19.6283,19.8799,20.1316,20.3832,20.6349,20.8865,21.1382,21.3898,21.6414,21.8931,22.1447,22.3964,22.648,22.8997,23.1513,23.403,23.6546,23.9062,24.1579,24.4095,24.6612,24.9128,25.1645,25.4161,25.6678,25.9194,26.1711,26.4227,26.6743,26.926,27.1776,27.4293,27.6809,27.9326,28.1842,28.4359,28.6875,28.9391,29.1908,29.4424,29.6941,29.9457,30.1974,30.449,30.7007,30.9523,31.2039,31.4556,31.7072,31.9589,32.2105,32.4622,32.7138,32.9655,33.2171,33.4688,33.7204,33.972,34.2237,34.4753,34.727,34.9786,35.2303,35.4819,35.7336,35.9852,36.2368,36.4885,36.7401,36.9918,37.2434,37.4951,37.7467,37.9984,38.25,38.5016,38.7533,39.0049,39.2566,39.5082,39.7599,40.0115,40.2632,40.5148,40.7664,41.0181,41.2697,41.5214,41.773,42.0247,42.2763,42.528,42.7796,43.0312,43.2829,43.5345,43.7862,44.0378,44.2895,44.5411,44.7928,45.0444,45.2961,45.5477,45.7993,46.051,46.3026,46.5543,46.8059,47.0576,47.3092,47.5609,47.8125,48.0641,48.3158,48.5674,48.8191,49.0707,49.3224,49.574,49.8257,50.0773,50.3289,50.5806,50.8322,51.0839,51.3355,51.5872,51.8388,52.0905,52.3421,52.5937,52.8454,53.097,53.3487,53.6003,53.852,54.1036,54.3553,54.6069,54.8586,55.1102,55.3618,55.6135,55.8651,56.1168,56.3684,56.6201,56.8717,57.1234,57.375,57.6266,57.8783,58.1299,58.3816,58.6332,58.8849,59.1365,59.3882,59.6398,59.8914,60.1431,60.3947,60.6464,60.898,61.1497,61.4013,61.653,61.9046,62.1562,62.4079,62.6595,62.9112,63.1628,63.4145,63.6661,63.9178,64.1694,64.4211,64.6727,64.9243,65.176,65.4276,65.6793,65.9309,66.1826,66.4342,66.6859,66.9375,67.1891,67.4408,67.6924,67.9441,68.1957,68.4474,68.699,68.9507,69.2023,69.4539,69.7056,69.9572,70.2089,70.4605,70.7122,70.9638,71.2155,71.4671,71.7188,71.9704,72.222,72.4737,72.7253,72.977,73.2286,73.4803,73.7319,73.9836,74.2352,74.4868,74.7385,74.9901,75.2418,75.4934,75.7451,75.9967,76.2484,76.5,76.7516,77.0033,77.2549,77.5066,77.7582,78.0099,78.2615,78.5132,78.7648,78.9658,79.0329,79.1,79.1671,79.2342,79.3013,79.3684,79.4355,79.5026,79.5697,79.6368,79.7039,79.7711,79.8382,79.9053,79.9724,80.0395,80.1066,80.1737,80.2408,80.3079,80.375,80.4421,80.5092,80.5763,80.6434,80.7105,80.7776,80.8447,80.9118,80.9789,81.0461,81.1132,81.1803,81.2474,81.3145,81.3816,81.4487,81.5158,81.5829,81.65,81.7171,81.7842,81.8513,81.9184,81.9855,82.0526,82.1197,82.1868,82.2539,82.3211,82.3882,82.4553,82.5224,82.5895,82.6566,82.7237,82.7908,82.8579,82.925,82.9921,83.0592,83.1263,83.1934,83.2605,83.3276,83.3947,83.4618,83.5289,83.5961,83.6632,83.7303,83.7974,83.8645,83.9316,83.9987,84.0658,84.1329,84.2,84.2671,84.3342,84.4013,84.4684,84.5355,84.6026,84.6697,84.7368,84.8039,84.8711,84.9382,85.0053,85.0724,85.1395,85.2066,85.2737,85.3408,85.4079,85.475,85.5421,85.6092,85.6763,85.7434,85.8105,85.8776,85.9447,86.0118,86.0789,86.1461,86.2132,86.2803,86.3474,86.4145,86.4816,86.5487,86.6158,86.6829,86.75,86.8171,86.8842,86.9513,87.0184,87.0855,87.1526,87.2197,87.2868,87.3539,87.4211,87.4882,87.5553,87.6224,87.6895,87.7566,87.8237,87.8908,87.9579,88.025,88.0921,88.1592,88.2263,88.2934,88.3605,88.4276,88.4947,88.5618,88.6289,88.6961,88.7632,88.8303,88.8974,88.9645,89.0316,89.0987,89.1658,89.2329,89.3,89.3671,89.4342,89.5013,89.5684,89.6355,89.7026,89.7697,89.8368,89.9039,89.9711,90.0382,90.1053,90.1724,90.2395,90.3066,90.3737,90.4408,90.5079,90.575,90.6421,90.7092,90.7763,90.8434,90.9105,90.9776,91.0447,91.1118,91.1789,91.2461,91.3132,91.3803,91.4474,91.5145,91.5816,91.6487,91.7158,91.7829,91.85,91.9171,91.9842,92.0513,92.1184,92.1855,92.2526,92.3197,92.3868,92.4539,92.5211,92.5882,92.6553,92.7224,92.7895,92.8566,92.9237,92.9908,93.0579,93.125,93.1921,93.2592,93.3263,93.3934,93.4605,93.5276,93.5947,93.6618,93.7289,93.7961,93.8632,93.9303,93.9974,94.0645,94.1316,94.1987,94.2658,94.3329,94.4,94.4671,94.5342,94.6013,94.6684,94.7355,94.8026,94.8697,94.9368,95.0039,95.0711,95.1382,95.2053,95.2724,95.3395,95.4066,95.4737,95.5408,95.6079,95.675,95.7421,95.8092,95.8763,95.9434,96.0105,96.0776,96.1447,96.2118,96.2789,96.3461,96.4132,96.4803,96.5474,96.6145,96.6816,96.7487,96.8158,96.8829,96.95,97.0171,97.0842,97.1513,97.2184,97.2855,97.3526,97.4197,97.4868,97.5539,97.6211,97.6882,97.7553,97.8224,97.8895,97.9566,98.0237,98.0908,98.1579,98.225,98.2921,98.3592,98.4263,98.4934,98.5605,98.6276,98.6947,98.7618,98.8289,98.8961,98.9632,99.0303,99.0974,99.1645,99.2316,99.2987,99.3658,99.4329,99.5,99.5671,99.6342,99.7013,99.7684,99.8355,99.9026,99.9697,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [31,37,31]
-			},
-			"evaluatedVariables": 11,
-			"nativeVariables": 4,
-			"constructedVariables": 7,
-			"informativeVariables": 9,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"level": 0.640816,
-				"parts": 3,
-				"values": 5,
-				"mode": "4",
-				"modeFrequency": 32,
-				"constructionCost": 3.09104,
-				"preparationCost": 27.4826,
-				"dataCost": 9.95655,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R02",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"level": 0.635667,
-				"parts": 3,
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.801010101,
-				"stdDev": 1.712137004,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 28.0635,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R03",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"level": 0.617492,
-				"parts": 3,
-				"values": 20,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.218181818,
-				"stdDev": 0.749863777,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 30.1144,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R04",
-				"name": "Class2",
-				"type": "Categorical",
-				"level": 0.473857,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 62,
-				"constructionCost": 3.09104,
-				"preparationCost": 15.5969,
-				"dataCost": 40.6817,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R05",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"level": 0.447267,
-				"parts": 2,
-				"values": 9,
-				"min": 1,
-				"max": 3,
-				"mean": 2.517171717,
-				"stdDev": 0.7226550938,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 14.7454,
-				"dataCost": 44.5336,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R06",
-				"name": "Class1",
-				"type": "Categorical",
-				"level": 0.441125,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 68,
-				"constructionCost": 3.09104,
-				"preparationCost": 15.4385,
-				"dataCost": 44.5336,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R07",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"level": 0.306898,
-				"parts": 2,
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.681818182,
-				"stdDev": 0.2962266524,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 14.8064,
-				"dataCost": 60.3118,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			},
-			{
-				"rank": "R08",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"level": 0.2811,
-				"parts": 3,
-				"values": 30,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.848484848,
-				"stdDev": 0.8065844732,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 27.4942,
-				"dataCost": 50.535
-			},
-			{
-				"rank": "R09",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"level": 0.112567,
-				"parts": 2,
-				"values": 22,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.042424242,
-				"stdDev": 0.4422374035,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 16.7264,
-				"dataCost": 80.32
-			},
-			{
-				"rank": "R10",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R11",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 99,
-				"min": 0.01372010867,
-				"max": 0.9853969761,
-				"mean": 0.5371015665,
-				"stdDev": 0.2836682962,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Random()"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,36,2],
-						[31,0,0],
-						[0,1,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				},
-				"inputValues": {
-					"values": ["4","1","5","3","6"],
-					"frequencies": [32,31,24,6,6]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.95],
-								[4.95,6.9]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					],
-					"partInterests": [0.374224,0.311045,0.314731]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					],
-					"partInterests": [0.374224,0.311045,0.314731]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,31],
-						[0,37,0]
-					],
-					"partInterests": [0.443449,0.556551]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [62,37]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,37,31]
-					],
-					"partInterests": [0.584937,0.415063]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,37,31],
-						[31,0,0]
-					],
-					"partInterests": [0.415063,0.584937]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [68,31]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,33,2],
-						[0,4,29]
-					],
-					"partInterests": [0.407767,0.592233]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[28,3,0],
-						[3,12,1],
-						[0,22,30]
-					],
-					"partInterests": [0.493633,0.100396,0.405971]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[11,36,29],
-						[20,1,2]
-					],
-					"partInterests": [0.268778,0.731222]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 2
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"variables": 1
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R1": {
+				"selectedVariables": [
+					{
+						"preparedName": "PClass1",
+						"name": "Class1",
+						"level": 0.47374,
+						"weight": 0.65625,
+						"importance": 0.557577
+					},
+					{
+						"preparedName": "PClass2",
+						"name": "Class2",
+						"level": 0.440626,
+						"weight": 0.65625,
+						"importance": 0.537736
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991629,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.971429,
+				"compression": 0.892955,
+				"auc": 0.986807
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,32,0],
+						[0,0,35]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60937,3.9375,4.26562,4.59375,4.92187,5.25,5.57812,5.90625,6.23437,6.5625,6.89062,7.21875,7.54687,7.875,8.20312,8.53125,8.85937,9.1875,9.51562,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4687,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0937,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7187,18.0469,18.375,18.7031,19.0312,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6562,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9062,27.2344,27.5625,27.8906,28.2187,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7187,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3437,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2812,45.6094,45.9375,46.2656,46.5937,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2187,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1562,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0937,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5937,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0937,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9062,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5312,92.8594,93.1875,93.5156,93.8437,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60938,3.9375,4.26563,4.59375,4.92188,5.25,5.57812,5.90625,6.23438,6.5625,6.89062,7.21875,7.54688,7.875,8.20312,8.53125,8.85938,9.1875,9.51563,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4688,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0938,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7188,18.0469,18.375,18.7031,19.0313,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6563,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9063,27.2344,27.5625,27.8906,28.2188,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7188,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3438,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2813,45.6094,45.9375,46.2656,46.5938,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2188,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1563,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0938,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5938,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0938,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9063,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5313,92.8594,93.1875,93.5156,93.8438,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.308239,0.616477,0.924716,1.23295,1.54119,1.84943,2.15767,2.46591,2.77415,3.08239,3.39062,3.69886,4.0071,4.31534,4.62358,4.93182,5.24006,5.5483,5.85653,6.16477,6.47301,6.78125,7.08949,7.39773,7.70597,8.0142,8.32244,8.63068,8.93892,9.24716,9.5554,9.86364,10.1719,10.4801,10.7884,11.0966,11.4048,11.7131,12.0213,12.3295,12.6378,12.946,13.2543,13.5625,13.8707,14.179,14.4872,14.7955,15.1037,15.4119,15.7202,16.0284,16.3366,16.6449,16.9531,17.2614,17.5696,17.8778,18.1861,18.4943,18.8026,19.1108,19.419,19.7273,20.0355,20.3438,20.652,20.9602,21.2685,21.5767,21.8849,22.1932,22.5014,22.8097,23.1179,23.4261,23.7344,24.0426,24.3509,24.6591,24.9673,25.2756,25.5838,25.892,26.2003,26.5085,26.8168,27.125,27.4332,27.7415,28.0497,28.358,28.6662,28.9744,29.2827,29.5909,29.8991,30.2074,30.5156,30.8239,31.1321,31.4403,31.7486,32.0568,32.3651,32.6733,32.9815,33.2898,33.598,33.9062,34.2145,34.5227,34.831,35.1392,35.4474,35.7557,36.0639,36.3722,36.6804,36.9886,37.2969,37.6051,37.9134,38.2216,38.5298,38.8381,39.1463,39.4545,39.7628,40.071,40.3793,40.6875,40.9957,41.304,41.6122,41.9205,42.2287,42.5369,42.8452,43.1534,43.4616,43.7699,44.0781,44.3864,44.6946,45.0028,45.3111,45.6193,45.9276,46.2358,46.544,46.8523,47.1605,47.4687,47.777,48.0852,48.3935,48.7017,49.0099,49.3182,49.6264,49.9347,50.2429,50.5511,50.8594,51.1676,51.4759,51.7841,52.0923,52.4006,52.7088,53.017,53.3253,53.6335,53.9418,54.25,54.5582,54.8665,55.1747,55.483,55.7912,56.0994,56.4077,56.7159,57.0241,57.3324,57.6406,57.9489,58.2571,58.5653,58.8736,59.1818,59.4901,59.7983,60.1065,60.4148,60.723,61.0313,61.3395,61.6477,61.956,62.2642,62.5724,62.8807,63.1889,63.4972,63.8054,64.1136,64.4219,64.7301,65.0384,65.3466,65.6548,65.9631,66.2713,66.5795,66.8878,67.196,67.5043,67.8125,68.1207,68.429,68.7372,69.0455,69.3537,69.6619,69.9702,70.2784,70.5866,70.8949,71.2031,71.5114,71.8196,72.1278,72.4361,72.7443,73.0526,73.3608,73.669,73.9773,74.2855,74.5938,74.902,75.2102,75.5185,75.8267,76.1349,76.4432,76.7514,77.0597,77.3679,77.6761,77.9844,78.2926,78.6009,78.9091,79.2173,79.5256,79.8338,80.142,80.4503,80.7585,81.0668,81.375,81.6832,81.9915,82.2997,82.608,82.9162,83.2244,83.5327,83.8409,84.1491,84.4574,84.7656,85.0739,85.3821,85.6903,85.9986,86.3068,86.6151,86.9233,87.2315,87.5398,87.848,88.1563,88.4645,88.7727,89.081,89.3892,89.6974,90.0057,90.3139,90.6222,90.9304,91.2386,91.5469,91.8551,92.1634,92.4716,92.7798,93.0881,93.3963,93.7045,94.0128,94.321,94.6293,94.9375,95.2457,95.554,95.8622,96.1705,96.4787,96.7869,96.8819,96.8915,96.9012,96.9108,96.9205,96.9301,96.9398,96.9494,96.9591,96.9688,96.9784,96.9881,96.9977,97.0074,97.017,97.0267,97.0363,97.046,97.0556,97.0653,97.0749,97.0846,97.0942,97.1039,97.1135,97.1232,97.1328,97.1425,97.1521,97.1618,97.1714,97.1811,97.1907,97.2004,97.21,97.2197,97.2293,97.239,97.2486,97.2583,97.2679,97.2776,97.2872,97.2969,97.3065,97.3162,97.3258,97.3355,97.3451,97.3548,97.3644,97.3741,97.3837,97.3934,97.403,97.4127,97.4223,97.432,97.4416,97.4513,97.4609,97.4706,97.4802,97.4899,97.4995,97.5092,97.5188,97.5285,97.5381,97.5478,97.5574,97.5671,97.5767,97.5864,97.596,97.6057,97.6153,97.625,97.6347,97.6443,97.654,97.6636,97.6733,97.6829,97.6926,97.7022,97.7119,97.7215,97.7312,97.7408,97.7505,97.7601,97.7698,97.7794,97.7891,97.7987,97.8084,97.818,97.8277,97.8373,97.847,97.8566,97.8663,97.8759,97.8856,97.8952,97.9049,97.9145,97.9242,97.9338,97.9435,97.9531,97.9628,97.9724,97.9821,97.9917,98.0014,98.011,98.0207,98.0303,98.04,98.0496,98.0593,98.0689,98.0786,98.0882,98.0979,98.1075,98.1172,98.1268,98.1365,98.1461,98.1558,98.1654,98.1751,98.1847,98.1944,98.204,98.2137,98.2233,98.233,98.2426,98.2523,98.2619,98.2716,98.2812,98.2909,98.3006,98.3102,98.3199,98.3295,98.3392,98.3488,98.3585,98.3681,98.3778,98.3874,98.3971,98.4067,98.4164,98.426,98.4357,98.4453,98.455,98.4646,98.4743,98.4839,98.4936,98.5032,98.5129,98.5225,98.5322,98.5418,98.5515,98.5611,98.5708,98.5804,98.5901,98.5997,98.6094,98.619,98.6287,98.6383,98.648,98.6576,98.6673,98.6769,98.6866,98.6962,98.7059,98.7155,98.7252,98.7348,98.7445,98.7541,98.7638,98.7734,98.7831,98.7927,98.8024,98.812,98.8217,98.8313,98.841,98.8506,98.8603,98.8699,98.8796,98.8892,98.8989,98.9085,98.9182,98.9278,98.9375,98.9472,98.9568,98.9665,98.9761,98.9858,98.9954,99.0051,99.0147,99.0244,99.034,99.0437,99.0533,99.063,99.0726,99.0823,99.0919,99.1016,99.1112,99.1209,99.1305,99.1402,99.1498,99.1595,99.1691,99.1788,99.1884,99.1981,99.2077,99.2174,99.227,99.2367,99.2463,99.256,99.2656,99.2753,99.2849,99.2946,99.3042,99.3139,99.3235,99.3332,99.3428,99.3525,99.3621,99.3718,99.3814,99.3911,99.4007,99.4104,99.42,99.4297,99.4393,99.449,99.4586,99.4683,99.4779,99.4876,99.4972,99.5069,99.5165,99.5262,99.5358,99.5455,99.5551,99.5648,99.5744,99.5841,99.5938,99.6034,99.6131,99.6227,99.6324,99.642,99.6517,99.6613,99.671,99.6806,99.6903,99.6999,99.7096,99.7192,99.7289,99.7385,99.7482,99.7578,99.7675,99.7771,99.7868,99.7964,99.8061,99.8157,99.8254,99.835,99.8447,99.8543,99.864,99.8736,99.8833,99.8929,99.9026,99.9122,99.9219,99.9315,99.9412,99.9508,99.9605,99.9701,99.9798,99.9894,99.9991,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.291176,0.582353,0.873529,1.16471,1.45588,1.74706,2.03824,2.32941,2.62059,2.91176,3.20294,3.49412,3.78529,4.07647,4.36765,4.65882,4.95,5.24118,5.53235,5.82353,6.11471,6.40588,6.69706,6.98824,7.27941,7.57059,7.86176,8.15294,8.44412,8.73529,9.02647,9.31765,9.60882,9.9,10.1912,10.4824,10.7735,11.0647,11.3559,11.6471,11.9382,12.2294,12.5206,12.8118,13.1029,13.3941,13.6853,13.9765,14.2676,14.5588,14.85,15.1412,15.4324,15.7235,16.0147,16.3059,16.5971,16.8882,17.1794,17.4706,17.7618,18.0529,18.3441,18.6353,18.9265,19.2176,19.5088,19.8,20.0912,20.3824,20.6735,20.9647,21.2559,21.5471,21.8382,22.1294,22.4206,22.7118,23.0029,23.2941,23.5853,23.8765,24.1676,24.4588,24.75,25.0412,25.3324,25.6235,25.9147,26.2059,26.4971,26.7882,27.0794,27.3706,27.6618,27.9529,28.2441,28.5353,28.8265,29.1176,29.4088,29.7,29.9912,30.2824,30.5735,30.8647,31.1559,31.4471,31.7382,32.0294,32.3206,32.6118,32.9029,33.1941,33.4853,33.7765,34.0676,34.3588,34.65,34.9412,35.2324,35.5235,35.8147,36.1059,36.3971,36.6882,36.9794,37.2706,37.5618,37.8529,38.1441,38.4353,38.7265,39.0176,39.3088,39.6,39.8912,40.1824,40.4735,40.7647,41.0559,41.3471,41.6382,41.9294,42.2206,42.5118,42.8029,43.0941,43.3853,43.6765,43.9676,44.2588,44.55,44.8412,45.1324,45.4235,45.7147,46.0059,46.2971,46.5882,46.8794,47.1706,47.4618,47.7529,48.0441,48.3353,48.6265,48.9176,49.2088,49.5,49.7912,50.0824,50.3735,50.6647,50.9559,51.2471,51.5382,51.8294,52.1206,52.4118,52.7029,52.9941,53.2853,53.5765,53.8676,54.1588,54.45,54.7412,55.0324,55.3235,55.6147,55.9059,56.1971,56.4882,56.7794,57.0706,57.3618,57.6529,57.9441,58.2353,58.5265,58.8176,59.1088,59.4,59.6912,59.9824,60.2735,60.5647,60.8559,61.1471,61.4382,61.7294,62.0206,62.3118,62.6029,62.8941,63.1853,63.4765,63.7676,64.0588,64.35,64.6412,64.9324,65.2235,65.5147,65.8059,66.0971,66.3882,66.6794,66.9706,67.2618,67.5529,67.8441,68.1353,68.4265,68.7176,69.0088,69.3,69.5912,69.8824,70.1735,70.4647,70.7559,71.0471,71.3382,71.6294,71.9206,72.2118,72.5029,72.7941,73.0853,73.3765,73.6676,73.9588,74.25,74.5412,74.8324,75.1235,75.4147,75.7059,75.9971,76.2882,76.5794,76.8706,77.1618,77.4529,77.7441,78.0353,78.3265,78.6176,78.9088,79.2,79.4912,79.7824,80.0735,80.3647,80.6559,80.9471,81.2382,81.5294,81.8206,82.1118,82.4029,82.6941,82.9853,83.2765,83.5676,83.8588,84.15,84.4412,84.7324,85.0235,85.3147,85.6059,85.8971,86.1882,86.4794,86.7706,87.0618,87.3529,87.6441,87.9353,88.2265,88.5176,88.8088,89.1,89.3912,89.6824,89.9735,90.2647,90.5559,90.8471,91.1382,91.4294,91.7206,92.0118,92.3029,92.5941,92.8853,93.1765,93.4676,93.7588,94.05,94.2892,94.3074,94.3255,94.3437,94.3619,94.3801,94.3983,94.4165,94.4346,94.4528,94.471,94.4892,94.5074,94.5255,94.5437,94.5619,94.5801,94.5983,94.6165,94.6346,94.6528,94.671,94.6892,94.7074,94.7255,94.7437,94.7619,94.7801,94.7983,94.8165,94.8346,94.8528,94.871,94.8892,94.9074,94.9255,94.9437,94.9619,94.9801,94.9983,95.0165,95.0346,95.0528,95.071,95.0892,95.1074,95.1255,95.1437,95.1619,95.1801,95.1983,95.2165,95.2346,95.2528,95.271,95.2892,95.3074,95.3255,95.3437,95.3619,95.3801,95.3983,95.4165,95.4346,95.4528,95.471,95.4892,95.5074,95.5255,95.5437,95.5619,95.5801,95.5983,95.6165,95.6346,95.6528,95.671,95.6892,95.7074,95.7255,95.7437,95.7619,95.7801,95.7983,95.8165,95.8346,95.8528,95.871,95.8892,95.9074,95.9255,95.9437,95.9619,95.9801,95.9983,96.0165,96.0346,96.0528,96.071,96.0892,96.1074,96.1255,96.1437,96.1619,96.1801,96.1983,96.2165,96.2346,96.2528,96.271,96.2892,96.3074,96.3255,96.3437,96.3619,96.3801,96.3983,96.4165,96.4346,96.4528,96.471,96.4892,96.5074,96.5255,96.5437,96.5619,96.5801,96.5983,96.6165,96.6346,96.6528,96.671,96.6892,96.7074,96.7255,96.7437,96.7619,96.7801,96.7983,96.8165,96.8346,96.8528,96.871,96.8892,96.9074,96.9255,96.9437,96.9619,96.9801,96.9983,97.0165,97.0346,97.0528,97.071,97.0892,97.1074,97.1255,97.1437,97.1619,97.1801,97.1983,97.2165,97.2346,97.2528,97.271,97.2892,97.3074,97.3255,97.3437,97.3619,97.3801,97.3983,97.4165,97.4346,97.4528,97.471,97.4892,97.5074,97.5255,97.5437,97.5619,97.5801,97.5983,97.6165,97.6346,97.6528,97.671,97.6892,97.7074,97.7255,97.7437,97.7619,97.7801,97.7983,97.8165,97.8346,97.8528,97.871,97.8892,97.9074,97.9255,97.9437,97.9619,97.9801,97.9983,98.0165,98.0346,98.0528,98.071,98.0892,98.1074,98.1255,98.1437,98.1619,98.1801,98.1983,98.2165,98.2346,98.2528,98.271,98.2892,98.3074,98.3255,98.3437,98.3619,98.3801,98.3983,98.4165,98.4346,98.4528,98.471,98.4892,98.5074,98.5255,98.5437,98.5619,98.5801,98.5983,98.6165,98.6346,98.6528,98.671,98.6892,98.7074,98.7255,98.7437,98.7619,98.7801,98.7983,98.8165,98.8346,98.8528,98.871,98.8892,98.9074,98.9255,98.9437,98.9619,98.9801,98.9983,99.0165,99.0346,99.0528,99.071,99.0892,99.1074,99.1255,99.1437,99.1619,99.1801,99.1983,99.2165,99.2346,99.2528,99.271,99.2892,99.3074,99.3255,99.3437,99.3619,99.3801,99.3983,99.4165,99.4346,99.4528,99.471,99.4892,99.5074,99.5255,99.5437,99.5619,99.5801,99.5983,99.6165,99.6346,99.6528,99.671,99.6892,99.7074,99.7255,99.7437,99.7619,99.7801,99.7983,99.8165,99.8346,99.8528,99.871,99.8892,99.9074,99.9255,99.9437,99.9619,99.9801,99.9983,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 45,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991476,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.933333,
+				"compression": 0.795811,
+				"auc": 0.957778
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,0],
+						[0,0,15]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,3],
+						[0,0,12]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[12,0,0],
+						[0,18,3],
+						[0,0,12]
+					],
+					"partInterests": [0.394348,0.27788,0.327772]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.214286,0.428571,0.642857,0.857143,1.07143,1.28571,1.5,1.71429,1.92857,2.14286,2.35714,2.57143,2.78571,3,3.21429,3.42857,3.64286,3.85714,4.07143,4.28571,4.5,4.71429,4.92857,5.14286,5.35714,5.57143,5.78571,6,6.21429,6.42857,6.64286,6.85714,7.07143,7.28571,7.5,7.71429,7.92857,8.14286,8.35714,8.57143,8.78571,9,9.21429,9.42857,9.64286,9.85714,10.0714,10.2857,10.5,10.7143,10.9286,11.1429,11.3571,11.5714,11.7857,12,12.2143,12.4286,12.6429,12.8571,13.0714,13.2857,13.5,13.7143,13.9286,14.1429,14.3571,14.5714,14.7857,15,15.2143,15.4286,15.6429,15.8571,16.0714,16.2857,16.5,16.7143,16.9286,17.1429,17.3571,17.5714,17.7857,18,18.2143,18.4286,18.6429,18.8571,19.0714,19.2857,19.5,19.7143,19.9286,20.1429,20.3571,20.5714,20.7857,21,21.2143,21.4286,21.6429,21.8571,22.0714,22.2857,22.5,22.7143,22.9286,23.1429,23.3571,23.5714,23.7857,24,24.2143,24.4286,24.6429,24.8571,25.0714,25.2857,25.5,25.7143,25.9286,26.1429,26.3571,26.5714,26.7857,27,27.2143,27.4286,27.6429,27.8571,28.0714,28.2857,28.5,28.7143,28.9286,29.1429,29.3571,29.5714,29.7857,30,30.2143,30.4286,30.6429,30.8571,31.0714,31.2857,31.5,31.7143,31.9286,32.1429,32.3571,32.5714,32.7857,33,33.2143,33.4286,33.6429,33.8571,34.0714,34.2857,34.5,34.7143,34.9286,35.1429,35.3571,35.5714,35.7857,36,36.2143,36.4286,36.6429,36.8571,37.0714,37.2857,37.5,37.7143,37.9286,38.1429,38.3571,38.5714,38.7857,39,39.2143,39.4286,39.6429,39.8571,40.0714,40.2857,40.5,40.7143,40.9286,41.1429,41.3571,41.5714,41.7857,42,42.2143,42.4286,42.6429,42.8571,43.0714,43.2857,43.5,43.7143,43.9286,44.1429,44.3571,44.5714,44.7857,45,45.2143,45.4286,45.6429,45.8571,46.0714,46.2857,46.5,46.7143,46.9286,47.1429,47.3571,47.5714,47.7857,48,48.2143,48.4286,48.6429,48.8571,49.0714,49.2857,49.5,49.7143,49.9286,50.1429,50.3571,50.5714,50.7857,51,51.2143,51.4286,51.6429,51.8571,52.0714,52.2857,52.5,52.7143,52.9286,53.1429,53.3571,53.5714,53.7857,54,54.2143,54.4286,54.6429,54.8571,55.0714,55.2857,55.5,55.7143,55.9286,56.1429,56.3571,56.5714,56.7857,57,57.2143,57.4286,57.6429,57.8571,58.0714,58.2857,58.5,58.7143,58.9286,59.1429,59.3571,59.5714,59.7857,60,60.2143,60.4286,60.6429,60.8571,61.0714,61.2857,61.5,61.7143,61.9286,62.1429,62.3571,62.5714,62.7857,63,63.2143,63.4286,63.6429,63.8571,64.0714,64.2857,64.5,64.7143,64.9286,65.1429,65.3571,65.5714,65.7857,66,66.2143,66.4286,66.6429,66.8571,67.0714,67.2857,67.5,67.7143,67.9286,68.1429,68.3571,68.5714,68.7857,69,69.2143,69.4286,69.6429,69.8571,70.0714,70.2857,70.5,70.7143,70.9286,71.1429,71.3571,71.5714,71.7857,72,72.2143,72.4286,72.6429,72.8571,73.0714,73.2857,73.5,73.7143,73.9286,74.1429,74.3571,74.5714,74.7857,75,75.2143,75.4286,75.6429,75.8571,76.0714,76.2857,76.5,76.7143,76.9286,77.1429,77.3571,77.5714,77.7857,78,78.2143,78.4286,78.6429,78.8571,79.0714,79.2857,79.5,79.7143,79.9286,80.1429,80.3571,80.5714,80.7857,81,81.2143,81.4286,81.6429,81.8571,82.0714,82.2857,82.5,82.7143,82.9286,83.1429,83.3571,83.5714,83.7857,84,84.2143,84.4286,84.6429,84.8571,85.0714,85.2857,85.5,85.7143,85.9286,86.1429,86.3571,86.5714,86.7857,87,87.2143,87.4286,87.6429,87.8571,88.0714,88.2857,88.5,88.7143,88.9286,89.1429,89.3571,89.5714,89.7857,90,90.2143,90.4286,90.6429,90.8571,91.0714,91.2857,91.5,91.7143,91.9286,92.1429,92.3571,92.5714,92.7857,93,93.2143,93.4286,93.6429,93.8571,94.0714,94.2857,94.5,94.7143,94.9286,95.1429,95.3571,95.5714,95.7857,96,96.2143,96.4286,96.6429,96.8571,97.0714,97.2857,97.5,97.7143,97.9286,98.1429,98.3571,98.5714,98.7857,99,99.2143,99.4286,99.6429,99.8571,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.0143,80.0571,80.1,80.1429,80.1857,80.2286,80.2714,80.3143,80.3571,80.4,80.4429,80.4857,80.5286,80.5714,80.6143,80.6571,80.7,80.7429,80.7857,80.8286,80.8714,80.9143,80.9571,81,81.0429,81.0857,81.1286,81.1714,81.2143,81.2571,81.3,81.3429,81.3857,81.4286,81.4714,81.5143,81.5571,81.6,81.6429,81.6857,81.7286,81.7714,81.8143,81.8571,81.9,81.9429,81.9857,82.0286,82.0714,82.1143,82.1571,82.2,82.2429,82.2857,82.3286,82.3714,82.4143,82.4571,82.5,82.5429,82.5857,82.6286,82.6714,82.7143,82.7571,82.8,82.8429,82.8857,82.9286,82.9714,83.0143,83.0571,83.1,83.1429,83.1857,83.2286,83.2714,83.3143,83.3571,83.4,83.4429,83.4857,83.5286,83.5714,83.6143,83.6571,83.7,83.7429,83.7857,83.8286,83.8714,83.9143,83.9571,84,84.0429,84.0857,84.1286,84.1714,84.2143,84.2571,84.3,84.3429,84.3857,84.4286,84.4714,84.5143,84.5571,84.6,84.6429,84.6857,84.7286,84.7714,84.8143,84.8571,84.9,84.9429,84.9857,85.0286,85.0714,85.1143,85.1571,85.2,85.2429,85.2857,85.3286,85.3714,85.4143,85.4571,85.5,85.5429,85.5857,85.6286,85.6714,85.7143,85.7571,85.8,85.8429,85.8857,85.9286,85.9714,86.0143,86.0571,86.1,86.1429,86.1857,86.2286,86.2714,86.3143,86.3571,86.4,86.4429,86.4857,86.5286,86.5714,86.6143,86.6571,86.7,86.7429,86.7857,86.8286,86.8714,86.9143,86.9571,87,87.0429,87.0857,87.1286,87.1714,87.2143,87.2571,87.3,87.3429,87.3857,87.4286,87.4714,87.5143,87.5571,87.6,87.6429,87.6857,87.7286,87.7714,87.8143,87.8571,87.9,87.9429,87.9857,88.0286,88.0714,88.1143,88.1571,88.2,88.2429,88.2857,88.3286,88.3714,88.4143,88.4571,88.5,88.5429,88.5857,88.6286,88.6714,88.7143,88.7571,88.8,88.8429,88.8857,88.9286,88.9714,89.0143,89.0571,89.1,89.1429,89.1857,89.2286,89.2714,89.3143,89.3571,89.4,89.4429,89.4857,89.5286,89.5714,89.6143,89.6571,89.7,89.7429,89.7857,89.8286,89.8714,89.9143,89.9571,90,90.0429,90.0857,90.1286,90.1714,90.2143,90.2571,90.3,90.3429,90.3857,90.4286,90.4714,90.5143,90.5571,90.6,90.6429,90.6857,90.7286,90.7714,90.8143,90.8571,90.9,90.9429,90.9857,91.0286,91.0714,91.1143,91.1571,91.2,91.2429,91.2857,91.3286,91.3714,91.4143,91.4571,91.5,91.5429,91.5857,91.6286,91.6714,91.7143,91.7571,91.8,91.8429,91.8857,91.9286,91.9714,92.0143,92.0571,92.1,92.1429,92.1857,92.2286,92.2714,92.3143,92.3571,92.4,92.4429,92.4857,92.5286,92.5714,92.6143,92.6571,92.7,92.7429,92.7857,92.8286,92.8714,92.9143,92.9571,93,93.0429,93.0857,93.1286,93.1714,93.2143,93.2571,93.3,93.3429,93.3857,93.4286,93.4714,93.5143,93.5571,93.6,93.6429,93.6857,93.7286,93.7714,93.8143,93.8571,93.9,93.9429,93.9857,94.0286,94.0714,94.1143,94.1571,94.2,94.2429,94.2857,94.3286,94.3714,94.4143,94.4571,94.5,94.5429,94.5857,94.6286,94.6714,94.7143,94.7571,94.8,94.8429,94.8857,94.9286,94.9714,95.0143,95.0571,95.1,95.1429,95.1857,95.2286,95.2714,95.3143,95.3571,95.4,95.4429,95.4857,95.5286,95.5714,95.6143,95.6571,95.7,95.7429,95.7857,95.8286,95.8714,95.9143,95.9571,96,96.0429,96.0857,96.1286,96.1714,96.2143,96.2571,96.3,96.3429,96.3857,96.4286,96.4714,96.5143,96.5571,96.6,96.6429,96.6857,96.7286,96.7714,96.8143,96.8571,96.9,96.9429,96.9857,97.0286,97.0714,97.1143,97.1571,97.2,97.2429,97.2857,97.3286,97.3714,97.4143,97.4571,97.5,97.5429,97.5857,97.6286,97.6714,97.7143,97.7571,97.8,97.8429,97.8857,97.9286,97.9714,98.0143,98.0571,98.1,98.1429,98.1857,98.2286,98.2714,98.3143,98.3571,98.4,98.4429,98.4857,98.5286,98.5714,98.6143,98.6571,98.7,98.7429,98.7857,98.8286,98.8714,98.9143,98.9571,99,99.0429,99.0857,99.1286,99.1714,99.2143,99.2571,99.3,99.3429,99.3857,99.4286,99.4714,99.5143,99.5571,99.6,99.6429,99.6857,99.7286,99.7714,99.8143,99.8571,99.9,99.9429,99.9857,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [38,32,35]
+			},
+			"evaluatedVariables": 11,
+			"nativeVariables": 4,
+			"constructedVariables": 7,
+			"informativeVariables": 9,
+			"selectedVariables": 3,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.654571,
+				"parts": 3,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 28.4221,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R02",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"level": 0.621203,
+				"parts": 3,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 27.2738,
+				"dataCost": 14.9342,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R03",
+				"name": "PetalLength",
+				"type": "Numerical",
+				"level": 0.613158,
+				"parts": 4,
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 31.9046,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R04",
+				"name": "LowerPetalLength",
+				"type": "Numerical",
+				"level": 0.479536,
+				"parts": 2,
+				"values": 10,
+				"min": 1,
+				"max": 3,
+				"mean": 2.446666667,
+				"stdDev": 0.7433600251,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 15.1066,
+				"dataCost": 44.0428,
+				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
+			},
+			{
+				"rank": "R05",
+				"name": "Class1",
+				"type": "Categorical",
+				"level": 0.47374,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 67,
+				"missingNumber": 67,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 15.7997,
+				"dataCost": 44.0428,
+				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
+			},
+			{
+				"rank": "R06",
+				"name": "Class2",
+				"type": "Categorical",
+				"level": 0.440626,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 73,
+				"missingNumber": 73,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 15.6381,
+				"dataCost": 48.1645,
+				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
+			},
+			{
+				"rank": "R07",
+				"name": "UpperPetalWidth",
+				"type": "Numerical",
+				"level": 0.330144,
+				"parts": 2,
+				"values": 11,
+				"min": 1.5,
+				"max": 2.5,
+				"mean": 1.692380952,
+				"stdDev": 0.2962287527,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 20.5402,
+				"dataCost": 56.4745,
+				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
+			},
+			{
+				"rank": "R08",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.323395,
+				"parts": 3,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 26.2686,
+				"dataCost": 51.5531
+			},
+			{
+				"rank": "R09",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.10822,
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 23.4061,
+				"dataCost": 80.1477
+			},
+			{
+				"rank": "R10",
+				"name": "Dummy1",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R11",
+				"name": "Dummy2",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 105,
+				"min": 0.005121241265,
+				"max": 0.9859650261,
+				"mean": 0.5173966838,
+				"stdDev": 0.2650019122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Random()"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,2,32],
+						[0,30,3]
+					],
+					"partInterests": [0.39638,0.307127,0.296494]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.15],
+								[3.15,4.75],
+								[4.75,5.15],
+								[5.15,6.9]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,1,0],
+						[0,26,0],
+						[0,5,9],
+						[0,0,26]
+					],
+					"partInterests": [0.347012,0.304909,0.066166,0.281913]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,32,35]
+					],
+					"partInterests": [0.561997,0.438003]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,32,35],
+						[38,0,0]
+					],
+					"partInterests": [0.438003,0.561997]
+				},
+				"inputValues": {
+					"values": ["","setosa"],
+					"frequencies": [67,38]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,35],
+						[0,32,0]
+					],
+					"partInterests": [0.41103,0.58897]
+				},
+				"inputValues": {
+					"values": ["","versicolor"],
+					"frequencies": [73,32]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,31,2],
+						[0,1,33]
+					],
+					"partInterests": [0.390205,0.609795]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[34,5,0],
+						[4,19,5],
+						[0,8,30]
+					],
+					"partInterests": [0.449729,0.147253,0.403018]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,18,12],
+						[17,13,19],
+						[21,1,4]
+					],
+					"partInterests": [0.544113,0.0133569,0.44253]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisG.khj b/tests/resources/analysis_results/ref_json_reports/IrisG.khj
index 052cb381..bd3834fa 100644
--- a/tests/resources/analysis_results/ref_json_reports/IrisG.khj
+++ b/tests/resources/analysis_results/ref_json_reports/IrisG.khj
@@ -1,899 +1,912 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"variables": 4
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"variables": 1
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"selectedVariables": [
-					{
-						"preparedName": "PClass2",
-						"name": "Class2",
-						"level": 0.448377,
-						"weight": 0.515625,
-						"importance": 0.480827
-					},
-					{
-						"preparedName": "PLowerPetalLength",
-						"name": "LowerPetalLength",
-						"level": 0.450217,
-						"weight": 0.476562,
-						"importance": 0.463203
-					},
-					{
-						"preparedName": "PPetalLength",
-						"name": "PetalLength",
-						"level": 0.60443,
-						"weight": 0.0234375,
-						"importance": 0.119022
-					},
-					{
-						"preparedName": "PClass1",
-						"name": "Class1",
-						"level": 0.414152,
-						"weight": 0.0078125,
-						"importance": 0.056882
-					}
-				]
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.981605,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.969697,
-				"compression": 0.884895,
-				"auc": 0.983648
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,37,0],
-						[0,0,31]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[31,0,0],
-						[0,36,2],
-						[0,1,29]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[36,0,2],
-						[0,31,0],
-						[1,0,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.267568,0.535135,0.802703,1.07027,1.33784,1.60541,1.87297,2.14054,2.40811,2.67568,2.94324,3.21081,3.47838,3.74595,4.01351,4.28108,4.54865,4.81622,5.08378,5.35135,5.61892,5.88649,6.15405,6.42162,6.68919,6.95676,7.22432,7.49189,7.75946,8.02703,8.29459,8.56216,8.82973,9.0973,9.36486,9.63243,9.9,10.1676,10.4351,10.7027,10.9703,11.2378,11.5054,11.773,12.0405,12.3081,12.5757,12.8432,13.1108,13.3784,13.6459,13.9135,14.1811,14.4486,14.7162,14.9838,15.2514,15.5189,15.7865,16.0541,16.3216,16.5892,16.8568,17.1243,17.3919,17.6595,17.927,18.1946,18.4622,18.7297,18.9973,19.2649,19.5324,19.8,20.0676,20.3351,20.6027,20.8703,21.1378,21.4054,21.673,21.9405,22.2081,22.4757,22.7432,23.0108,23.2784,23.5459,23.8135,24.0811,24.3486,24.6162,24.8838,25.1514,25.4189,25.6865,25.9541,26.2216,26.4892,26.7568,27.0243,27.2919,27.5595,27.827,28.0946,28.3622,28.6297,28.8973,29.1649,29.4324,29.7,29.9676,30.2351,30.5027,30.7703,31.0378,31.3054,31.573,31.8405,32.1081,32.3757,32.6432,32.9108,33.1784,33.4459,33.7135,33.9811,34.2486,34.5162,34.7838,35.0514,35.3189,35.5865,35.8541,36.1216,36.3892,36.6568,36.9243,37.1919,37.4595,37.727,37.9946,38.2622,38.5297,38.7973,39.0649,39.3324,39.6,39.8676,40.1351,40.4027,40.6703,40.9378,41.2054,41.473,41.7405,42.0081,42.2757,42.5432,42.8108,43.0784,43.3459,43.6135,43.8811,44.1486,44.4162,44.6838,44.9514,45.2189,45.4865,45.7541,46.0216,46.2892,46.5568,46.8243,47.0919,47.3595,47.627,47.8946,48.1622,48.4297,48.6973,48.9649,49.2324,49.5,49.7676,50.0351,50.3027,50.5703,50.8378,51.1054,51.373,51.6405,51.9081,52.1757,52.4432,52.7108,52.9784,53.2459,53.5135,53.7811,54.0486,54.3162,54.5838,54.8514,55.1189,55.3865,55.6541,55.9216,56.1892,56.4568,56.7243,56.9919,57.2595,57.527,57.7946,58.0622,58.3297,58.5973,58.8649,59.1324,59.4,59.6676,59.9351,60.2027,60.4703,60.7378,61.0054,61.273,61.5405,61.8081,62.0757,62.3432,62.6108,62.8784,63.1459,63.4135,63.6811,63.9486,64.2162,64.4838,64.7514,65.0189,65.2865,65.5541,65.8216,66.0892,66.3568,66.6243,66.8919,67.1595,67.427,67.6946,67.9622,68.2297,68.4973,68.7649,69.0324,69.3,69.5676,69.8351,70.1027,70.3703,70.6378,70.9054,71.173,71.4405,71.7081,71.9757,72.2432,72.5108,72.7784,73.0459,73.3135,73.5811,73.8486,74.1162,74.3838,74.6514,74.9189,75.1865,75.4541,75.7216,75.9892,76.2568,76.5243,76.7919,77.0595,77.327,77.5946,77.8622,78.1297,78.3973,78.6649,78.9324,79.2,79.4676,79.7351,80.0027,80.2703,80.5378,80.8054,81.073,81.3405,81.6081,81.8757,82.1432,82.4108,82.6784,82.9459,83.2135,83.4811,83.7486,84.0162,84.2838,84.5514,84.8189,85.0865,85.3541,85.6216,85.8892,86.1568,86.4243,86.6919,86.9595,87.227,87.4946,87.7622,88.0297,88.2973,88.5649,88.8324,89.1,89.3676,89.6351,89.9027,90.1703,90.4378,90.7054,90.973,91.2405,91.5081,91.7757,92.0432,92.3108,92.5784,92.8459,93.1135,93.3811,93.6486,93.9162,94.1838,94.4514,94.7189,94.9865,95.2541,95.5216,95.7892,96.0568,96.3243,96.5919,96.8595,97.127,97.3946,97.6622,97.9297,98.1973,98.4649,98.7324,99,99.2676,99.5351,99.8027,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.253485,0.50697,0.760455,1.01394,1.26743,1.52091,1.7744,2.02788,2.28137,2.53485,2.78834,3.04182,3.29531,3.54879,3.80228,4.05576,4.30925,4.56273,4.81622,5.0697,5.32319,5.57667,5.83016,6.08364,6.33713,6.59061,6.8441,7.09758,7.35107,7.60455,7.85804,8.11152,8.36501,8.61849,8.87198,9.12546,9.37895,9.63243,9.88592,10.1394,10.3929,10.6464,10.8999,11.1533,11.4068,11.6603,11.9138,12.1673,12.4208,12.6743,12.9277,13.1812,13.4347,13.6882,13.9417,14.1952,14.4486,14.7021,14.9556,15.2091,15.4626,15.7161,15.9696,16.223,16.4765,16.73,16.9835,17.237,17.4905,17.744,17.9974,18.2509,18.5044,18.7579,19.0114,19.2649,19.5183,19.7718,20.0253,20.2788,20.5323,20.7858,21.0393,21.2927,21.5462,21.7997,22.0532,22.3067,22.5602,22.8137,23.0671,23.3206,23.5741,23.8276,24.0811,24.3346,24.5881,24.8415,25.095,25.3485,25.602,25.8555,26.109,26.3624,26.6159,26.8694,27.1229,27.3764,27.6299,27.8834,28.1368,28.3903,28.6438,28.8973,29.1508,29.4043,29.6578,29.9112,30.1647,30.4182,30.6717,30.9252,31.1787,31.4321,31.6856,31.9391,32.1926,32.4461,32.6996,32.9531,33.2065,33.46,33.7135,33.967,34.2205,34.474,34.7275,34.9809,35.2344,35.4879,35.7414,35.9949,36.2484,36.5018,36.7553,37.0088,37.2623,37.5158,37.7693,38.0228,38.2762,38.5297,38.7832,39.0367,39.2902,39.5437,39.7972,40.0506,40.3041,40.5576,40.8111,41.0646,41.3181,41.5716,41.825,42.0785,42.332,42.5855,42.839,43.0925,43.3459,43.5994,43.8529,44.1064,44.3599,44.6134,44.8669,45.1203,45.3738,45.6273,45.8808,46.1343,46.3878,46.6413,46.8947,47.1482,47.4017,47.6552,47.9087,48.1622,48.4156,48.6691,48.9226,49.1761,49.4296,49.6831,49.9366,50.19,50.4435,50.697,50.9505,51.204,51.4575,51.711,51.9644,52.2179,52.4714,52.7249,52.9784,53.2319,53.4853,53.7388,53.9923,54.2458,54.4993,54.7528,55.0063,55.2597,55.5132,55.7667,56.0202,56.2737,56.5272,56.7807,57.0341,57.2876,57.5411,57.7946,58.0481,58.3016,58.555,58.8085,59.062,59.3155,59.569,59.8225,60.076,60.3294,60.5829,60.8364,61.0899,61.3434,61.5969,61.8504,62.1038,62.3573,62.6108,62.8643,63.1178,63.3713,63.6248,63.8782,64.1317,64.3852,64.6387,64.8922,65.1457,65.3991,65.6526,65.9061,66.1596,66.4131,66.6666,66.9201,67.1735,67.427,67.6805,67.934,68.1875,68.441,68.6945,68.9479,69.2014,69.4549,69.7084,69.9619,70.2154,70.4688,70.7223,70.9758,71.2293,71.4828,71.7363,71.9898,72.2432,72.4967,72.7502,73.0037,73.2572,73.5107,73.7642,74.0176,74.2711,74.5246,74.7781,75.0316,75.2851,75.5385,75.792,76.0455,76.299,76.5525,76.806,77.0595,77.3129,77.5664,77.8199,78.0734,78.3269,78.5804,78.8339,79.0873,79.3408,79.5943,79.8478,80.1013,80.3548,80.6083,80.8617,81.1152,81.3687,81.6222,81.8757,82.1292,82.3826,82.6361,82.8896,83.1431,83.3966,83.6501,83.9036,84.157,84.4105,84.664,84.9175,85.171,85.4245,85.678,85.9314,86.1849,86.4384,86.6919,86.9454,87.1989,87.4523,87.7058,87.9593,88.2128,88.4663,88.7198,88.9733,89.2267,89.4802,89.7337,89.9872,90.2407,90.4942,90.7477,91.0011,91.2546,91.5081,91.7616,92.0151,92.2686,92.522,92.7755,93.029,93.2825,93.536,93.7895,94.043,94.2964,94.5499,94.8034,95.0569,95.3104,95.5639,95.8174,96.0708,96.3243,96.5778,96.8313,97.0848,97.2987,97.3077,97.3166,97.3255,97.3344,97.3433,97.3523,97.3612,97.3701,97.379,97.3879,97.3968,97.4058,97.4147,97.4236,97.4325,97.4414,97.4504,97.4593,97.4682,97.4771,97.486,97.495,97.5039,97.5128,97.5217,97.5306,97.5395,97.5485,97.5574,97.5663,97.5752,97.5841,97.5931,97.602,97.6109,97.6198,97.6287,97.6377,97.6466,97.6555,97.6644,97.6733,97.6823,97.6912,97.7001,97.709,97.7179,97.7268,97.7358,97.7447,97.7536,97.7625,97.7714,97.7804,97.7893,97.7982,97.8071,97.816,97.825,97.8339,97.8428,97.8517,97.8606,97.8695,97.8785,97.8874,97.8963,97.9052,97.9141,97.9231,97.932,97.9409,97.9498,97.9587,97.9677,97.9766,97.9855,97.9944,98.0033,98.0123,98.0212,98.0301,98.039,98.0479,98.0568,98.0658,98.0747,98.0836,98.0925,98.1014,98.1104,98.1193,98.1282,98.1371,98.146,98.155,98.1639,98.1728,98.1817,98.1906,98.1995,98.2085,98.2174,98.2263,98.2352,98.2441,98.2531,98.262,98.2709,98.2798,98.2887,98.2977,98.3066,98.3155,98.3244,98.3333,98.3423,98.3512,98.3601,98.369,98.3779,98.3868,98.3958,98.4047,98.4136,98.4225,98.4314,98.4404,98.4493,98.4582,98.4671,98.476,98.485,98.4939,98.5028,98.5117,98.5206,98.5295,98.5385,98.5474,98.5563,98.5652,98.5741,98.5831,98.592,98.6009,98.6098,98.6187,98.6277,98.6366,98.6455,98.6544,98.6633,98.6723,98.6812,98.6901,98.699,98.7079,98.7168,98.7258,98.7347,98.7436,98.7525,98.7614,98.7704,98.7793,98.7882,98.7971,98.806,98.815,98.8239,98.8328,98.8417,98.8506,98.8595,98.8685,98.8774,98.8863,98.8952,98.9041,98.9131,98.922,98.9309,98.9398,98.9487,98.9577,98.9666,98.9755,98.9844,98.9933,99.0023,99.0112,99.0201,99.029,99.0379,99.0468,99.0558,99.0647,99.0736,99.0825,99.0914,99.1004,99.1093,99.1182,99.1271,99.136,99.145,99.1539,99.1628,99.1717,99.1806,99.1895,99.1985,99.2074,99.2163,99.2252,99.2341,99.2431,99.252,99.2609,99.2698,99.2787,99.2877,99.2966,99.3055,99.3144,99.3233,99.3323,99.3412,99.3501,99.359,99.3679,99.3768,99.3858,99.3947,99.4036,99.4125,99.4214,99.4304,99.4393,99.4482,99.4571,99.466,99.475,99.4839,99.4928,99.5017,99.5106,99.5195,99.5285,99.5374,99.5463,99.5552,99.5641,99.5731,99.582,99.5909,99.5998,99.6087,99.6177,99.6266,99.6355,99.6444,99.6533,99.6623,99.6712,99.6801,99.689,99.6979,99.7068,99.7158,99.7247,99.7336,99.7425,99.7514,99.7604,99.7693,99.7782,99.7871,99.796,99.805,99.8139,99.8228,99.8317,99.8406,99.8495,99.8585,99.8674,99.8763,99.8852,99.8941,99.9031,99.912,99.9209,99.9298,99.9387,99.9477,99.9566,99.9655,99.9744,99.9833,99.9923,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.319355,0.63871,0.958065,1.27742,1.59677,1.91613,2.23548,2.55484,2.87419,3.19355,3.5129,3.83226,4.15161,4.47097,4.79032,5.10968,5.42903,5.74839,6.06774,6.3871,6.70645,7.02581,7.34516,7.66452,7.98387,8.30323,8.62258,8.94194,9.26129,9.58065,9.9,10.2194,10.5387,10.8581,11.1774,11.4968,11.8161,12.1355,12.4548,12.7742,13.0935,13.4129,13.7323,14.0516,14.371,14.6903,15.0097,15.329,15.6484,15.9677,16.2871,16.6065,16.9258,17.2452,17.5645,17.8839,18.2032,18.5226,18.8419,19.1613,19.4806,19.8,20.1194,20.4387,20.7581,21.0774,21.3968,21.7161,22.0355,22.3548,22.6742,22.9935,23.3129,23.6323,23.9516,24.271,24.5903,24.9097,25.229,25.5484,25.8677,26.1871,26.5065,26.8258,27.1452,27.4645,27.7839,28.1032,28.4226,28.7419,29.0613,29.3806,29.7,30.0194,30.3387,30.6581,30.9774,31.2968,31.6161,31.9355,32.2548,32.5742,32.8935,33.2129,33.5323,33.8516,34.171,34.4903,34.8097,35.129,35.4484,35.7677,36.0871,36.4065,36.7258,37.0452,37.3645,37.6839,38.0032,38.3226,38.6419,38.9613,39.2806,39.6,39.9194,40.2387,40.5581,40.8774,41.1968,41.5161,41.8355,42.1548,42.4742,42.7935,43.1129,43.4323,43.7516,44.071,44.3903,44.7097,45.029,45.3484,45.6677,45.9871,46.3065,46.6258,46.9452,47.2645,47.5839,47.9032,48.2226,48.5419,48.8613,49.1806,49.5,49.8194,50.1387,50.4581,50.7774,51.0968,51.4161,51.7355,52.0548,52.3742,52.6935,53.0129,53.3323,53.6516,53.971,54.2903,54.6097,54.929,55.2484,55.5677,55.8871,56.2065,56.5258,56.8452,57.1645,57.4839,57.8032,58.1226,58.4419,58.7613,59.0806,59.4,59.7194,60.0387,60.3581,60.6774,60.9968,61.3161,61.6355,61.9548,62.2742,62.5935,62.9129,63.2323,63.5516,63.871,64.1903,64.5097,64.829,65.1484,65.4677,65.7871,66.1065,66.4258,66.7452,67.0645,67.3839,67.7032,68.0226,68.3419,68.6613,68.9806,69.3,69.6194,69.9387,70.2581,70.5774,70.8968,71.2161,71.5355,71.8548,72.1742,72.4935,72.8129,73.1323,73.4516,73.771,74.0903,74.4097,74.729,75.0484,75.3677,75.6871,76.0065,76.3258,76.6452,76.9645,77.2839,77.6032,77.9226,78.2419,78.5613,78.8806,79.2,79.5194,79.8387,80.1581,80.4774,80.7968,81.1161,81.4355,81.7548,82.0742,82.3935,82.7129,83.0323,83.3516,83.671,83.9903,84.3097,84.629,84.9484,85.2677,85.5871,85.9065,86.2258,86.5452,86.8645,87.1839,87.5032,87.8226,88.1419,88.4613,88.7806,89.1,89.4194,89.7387,90.0581,90.3774,90.6968,91.0161,91.3355,91.6548,91.9742,92.2935,92.6129,92.9323,93.2516,93.571,93.8903,94.2097,94.529,94.8484,95.1677,95.4871,95.8065,96.1258,96.4452,96.7645,97.0839,97.4032,97.7226,98.0419,98.3613,98.6806,99,99.3194,99.6387,99.9581,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.30871,0.617419,0.926129,1.23484,1.54355,1.85226,2.16097,2.46968,2.77839,3.0871,3.39581,3.70452,4.01323,4.32194,4.63065,4.93935,5.24806,5.55677,5.86548,6.17419,6.4829,6.79161,7.10032,7.40903,7.71774,8.02645,8.33516,8.64387,8.95258,9.26129,9.57,9.87871,10.1874,10.4961,10.8048,11.1135,11.4223,11.731,12.0397,12.3484,12.6571,12.9658,13.2745,13.5832,13.8919,14.2006,14.5094,14.8181,15.1268,15.4355,15.7442,16.0529,16.3616,16.6703,16.979,17.2877,17.5965,17.9052,18.2139,18.5226,18.8313,19.14,19.4487,19.7574,20.0661,20.3748,20.6835,20.9923,21.301,21.6097,21.9184,22.2271,22.5358,22.8445,23.1532,23.4619,23.7706,24.0794,24.3881,24.6968,25.0055,25.3142,25.6229,25.9316,26.2403,26.549,26.8577,27.1665,27.4752,27.7839,28.0926,28.4013,28.71,29.0187,29.3274,29.6361,29.9448,30.2535,30.5623,30.871,31.1797,31.4884,31.7971,32.1058,32.4145,32.7232,33.0319,33.3406,33.6494,33.9581,34.2668,34.5755,34.8842,35.1929,35.5016,35.8103,36.119,36.4277,36.7365,37.0452,37.3539,37.6626,37.9713,38.28,38.5887,38.8974,39.2061,39.5148,39.8235,40.1323,40.441,40.7497,41.0584,41.3671,41.6758,41.9845,42.2932,42.6019,42.9106,43.2194,43.5281,43.8368,44.1455,44.4542,44.7629,45.0716,45.3803,45.689,45.9977,46.3065,46.6152,46.9239,47.2326,47.5413,47.85,48.1587,48.4674,48.7761,49.0848,49.3935,49.7023,50.011,50.3197,50.6284,50.9371,51.2458,51.5545,51.8632,52.1719,52.4806,52.7894,53.0981,53.4068,53.7155,54.0242,54.3329,54.6416,54.9503,55.259,55.5677,55.8765,56.1852,56.4939,56.8026,57.1113,57.42,57.7287,58.0374,58.3461,58.6548,58.9635,59.2723,59.581,59.8897,60.1984,60.5071,60.8158,61.1245,61.4332,61.7419,62.0506,62.3594,62.6681,62.9768,63.2855,63.5942,63.9029,64.2116,64.5203,64.829,65.1377,65.4465,65.7552,66.0639,66.3726,66.6813,66.99,67.2987,67.6074,67.9161,68.2248,68.5335,68.8423,69.151,69.4597,69.7684,70.0771,70.3858,70.6945,71.0032,71.3119,71.6206,71.9294,72.2381,72.5468,72.8555,73.1642,73.4729,73.7816,74.0903,74.399,74.7077,75.0165,75.3252,75.6339,75.9426,76.2513,76.56,76.8687,77.1774,77.4861,77.7948,78.1035,78.4123,78.721,79.0297,79.3384,79.6471,79.9558,80.2645,80.5732,80.8819,81.1906,81.4994,81.8081,82.1168,82.4255,82.7342,83.0429,83.3516,83.6603,83.969,84.2777,84.5865,84.8952,85.2039,85.5126,85.8213,86.13,86.4387,86.7474,87.0561,87.3648,87.6735,87.9823,88.291,88.5997,88.9084,89.2171,89.5258,89.8345,90.1432,90.4519,90.7606,91.0694,91.3781,91.6868,91.9955,92.3042,92.6129,92.9216,93.2303,93.539,93.5647,93.5815,93.5983,93.6151,93.6319,93.6487,93.6655,93.6823,93.6992,93.716,93.7328,93.7496,93.7664,93.7832,93.8,93.8168,93.8336,93.8504,93.8672,93.884,93.9008,93.9177,93.9345,93.9513,93.9681,93.9849,94.0017,94.0185,94.0353,94.0521,94.0689,94.0857,94.1025,94.1194,94.1362,94.153,94.1698,94.1866,94.2034,94.2202,94.237,94.2538,94.2706,94.2874,94.3042,94.3211,94.3379,94.3547,94.3715,94.3883,94.4051,94.4219,94.4387,94.4555,94.4723,94.4891,94.5059,94.5228,94.5396,94.5564,94.5732,94.59,94.6068,94.6236,94.6404,94.6572,94.674,94.6908,94.7076,94.7244,94.7413,94.7581,94.7749,94.7917,94.8085,94.8253,94.8421,94.8589,94.8757,94.8925,94.9093,94.9261,94.943,94.9598,94.9766,94.9934,95.0102,95.027,95.0438,95.0606,95.0774,95.0942,95.111,95.1278,95.1447,95.1615,95.1783,95.1951,95.2119,95.2287,95.2455,95.2623,95.2791,95.2959,95.3127,95.3295,95.3463,95.3632,95.38,95.3968,95.4136,95.4304,95.4472,95.464,95.4808,95.4976,95.5144,95.5312,95.548,95.5649,95.5817,95.5985,95.6153,95.6321,95.6489,95.6657,95.6825,95.6993,95.7161,95.7329,95.7497,95.7666,95.7834,95.8002,95.817,95.8338,95.8506,95.8674,95.8842,95.901,95.9178,95.9346,95.9514,95.9683,95.9851,96.0019,96.0187,96.0355,96.0523,96.0691,96.0859,96.1027,96.1195,96.1363,96.1531,96.1699,96.1868,96.2036,96.2204,96.2372,96.254,96.2708,96.2876,96.3044,96.3212,96.338,96.3548,96.3716,96.3885,96.4053,96.4221,96.4389,96.4557,96.4725,96.4893,96.5061,96.5229,96.5397,96.5565,96.5733,96.5902,96.607,96.6238,96.6406,96.6574,96.6742,96.691,96.7078,96.7246,96.7414,96.7582,96.775,96.7919,96.8087,96.8255,96.8423,96.8591,96.8759,96.8927,96.9095,96.9263,96.9431,96.9599,96.9767,96.9935,97.0104,97.0272,97.044,97.0608,97.0776,97.0944,97.1112,97.128,97.1448,97.1616,97.1784,97.1952,97.2121,97.2289,97.2457,97.2625,97.2793,97.2961,97.3129,97.3297,97.3465,97.3633,97.3801,97.3969,97.4138,97.4306,97.4474,97.4642,97.481,97.4978,97.5146,97.5314,97.5482,97.565,97.5818,97.5986,97.6154,97.6323,97.6491,97.6659,97.6827,97.6995,97.7163,97.7331,97.7499,97.7667,97.7835,97.8003,97.8171,97.834,97.8508,97.8676,97.8844,97.9012,97.918,97.9348,97.9516,97.9684,97.9852,98.002,98.0188,98.0357,98.0525,98.0693,98.0861,98.1029,98.1197,98.1365,98.1533,98.1701,98.1869,98.2037,98.2205,98.2374,98.2542,98.271,98.2878,98.3046,98.3214,98.3382,98.355,98.3718,98.3886,98.4054,98.4222,98.439,98.4559,98.4727,98.4895,98.5063,98.5231,98.5399,98.5567,98.5735,98.5903,98.6071,98.6239,98.6407,98.6576,98.6744,98.6912,98.708,98.7248,98.7416,98.7584,98.7752,98.792,98.8088,98.8256,98.8424,98.8593,98.8761,98.8929,98.9097,98.9265,98.9433,98.9601,98.9769,98.9937,99.0105,99.0273,99.0441,99.061,99.0778,99.0946,99.1114,99.1282,99.145,99.1618,99.1786,99.1954,99.2122,99.229,99.2458,99.2626,99.2795,99.2963,99.3131,99.3299,99.3467,99.3635,99.3803,99.3971,99.4139,99.4307,99.4475,99.4643,99.4812,99.498,99.5148,99.5316,99.5484,99.5652,99.582,99.5988,99.6156,99.6324,99.6492,99.666,99.6829,99.6997,99.7165,99.7333,99.7501,99.7669,99.7837,99.8005,99.8173,99.8341,99.8509,99.8677,99.8846,99.9014,99.9182,99.935,99.9518,99.9686,99.9854,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 51,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"accuracy": 1,
-				"compression": 0.979458,
-				"auc": 1
-			},
-			{
-				"rank": "R2",
-				"type": "Classifier",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"accuracy": 0.901961,
-				"compression": 0.704425,
-				"auc": 0.95993
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,13,0],
-						[0,0,19]
-					]
-				}
-			},
-			"R2": {
-				"confusionMatrix": {
-					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-					"matrix": [
-						[19,0,0],
-						[0,12,4],
-						[0,1,15]
-					]
-				},
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[12,0,4],
-						[0,19,0],
-						[1,0,15]
-					],
-					"partInterests": [0.266843,0.44088,0.292278]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "Iris-setosa",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-versicolor",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.392308,0.784615,1.17692,1.56923,1.96154,2.35385,2.74615,3.13846,3.53077,3.92308,4.31538,4.70769,5.1,5.49231,5.88462,6.27692,6.66923,7.06154,7.45385,7.84615,8.23846,8.63077,9.02308,9.41538,9.80769,10.2,10.5923,10.9846,11.3769,11.7692,12.1615,12.5538,12.9462,13.3385,13.7308,14.1231,14.5154,14.9077,15.3,15.6923,16.0846,16.4769,16.8692,17.2615,17.6538,18.0462,18.4385,18.8308,19.2231,19.6154,20.0077,20.4,20.7923,21.1846,21.5769,21.9692,22.3615,22.7538,23.1462,23.5385,23.9308,24.3231,24.7154,25.1077,25.5,25.8923,26.2846,26.6769,27.0692,27.4615,27.8538,28.2462,28.6385,29.0308,29.4231,29.8154,30.2077,30.6,30.9923,31.3846,31.7769,32.1692,32.5615,32.9538,33.3462,33.7385,34.1308,34.5231,34.9154,35.3077,35.7,36.0923,36.4846,36.8769,37.2692,37.6615,38.0538,38.4462,38.8385,39.2308,39.6231,40.0154,40.4077,40.8,41.1923,41.5846,41.9769,42.3692,42.7615,43.1538,43.5462,43.9385,44.3308,44.7231,45.1154,45.5077,45.9,46.2923,46.6846,47.0769,47.4692,47.8615,48.2538,48.6462,49.0385,49.4308,49.8231,50.2154,50.6077,51,51.3923,51.7846,52.1769,52.5692,52.9615,53.3538,53.7462,54.1385,54.5308,54.9231,55.3154,55.7077,56.1,56.4923,56.8846,57.2769,57.6692,58.0615,58.4538,58.8462,59.2385,59.6308,60.0231,60.4154,60.8077,61.2,61.5923,61.9846,62.3769,62.7692,63.1615,63.5538,63.9462,64.3385,64.7308,65.1231,65.5154,65.9077,66.3,66.6923,67.0846,67.4769,67.8692,68.2615,68.6538,69.0462,69.4385,69.8308,70.2231,70.6154,71.0077,71.4,71.7923,72.1846,72.5769,72.9692,73.3615,73.7538,74.1462,74.5385,74.9308,75.3231,75.7154,76.1077,76.5,76.8923,77.2846,77.6769,78.0692,78.4615,78.8538,79.2462,79.6385,80.0308,80.4231,80.8154,81.2077,81.6,81.9923,82.3846,82.7769,83.1692,83.5615,83.9538,84.3462,84.7385,85.1308,85.5231,85.9154,86.3077,86.7,87.0923,87.4846,87.8769,88.2692,88.6615,89.0538,89.4462,89.8385,90.2308,90.6231,91.0154,91.4077,91.8,92.1923,92.5846,92.9769,93.3692,93.7615,94.1538,94.5462,94.9385,95.3308,95.7231,96.1154,96.5077,96.9,97.2923,97.6846,98.0769,98.4692,98.8615,99.2538,99.6462,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.294231,0.588462,0.882692,1.17692,1.47115,1.76538,2.05962,2.35385,2.64808,2.94231,3.23654,3.53077,3.825,4.11923,4.41346,4.70769,5.00192,5.29615,5.59038,5.88462,6.17885,6.47308,6.76731,7.06154,7.35577,7.65,7.94423,8.23846,8.53269,8.82692,9.12115,9.41538,9.70962,10.0038,10.2981,10.5923,10.8865,11.1808,11.475,11.7692,12.0635,12.3577,12.6519,12.9462,13.2404,13.5346,13.8288,14.1231,14.4173,14.7115,15.0058,15.3,15.5942,15.8885,16.1827,16.4769,16.7712,17.0654,17.3596,17.6538,17.9481,18.2423,18.5365,18.8308,19.125,19.4192,19.7135,20.0077,20.3019,20.5962,20.8904,21.1846,21.4788,21.7731,22.0673,22.3615,22.6558,22.95,23.2442,23.5385,23.8327,24.1269,24.4212,24.7154,25.0096,25.3038,25.5981,25.8923,26.1865,26.4808,26.775,27.0692,27.3635,27.6577,27.9519,28.2462,28.5404,28.8346,29.1288,29.4231,29.7173,30.0115,30.3058,30.6,30.8942,31.1885,31.4827,31.7769,32.0712,32.3654,32.6596,32.9538,33.2481,33.5423,33.8365,34.1308,34.425,34.7192,35.0135,35.3077,35.6019,35.8962,36.1904,36.4846,36.7788,37.0731,37.3673,37.6615,37.9558,38.25,38.5442,38.8385,39.1327,39.4269,39.7212,40.0154,40.3096,40.6038,40.8981,41.1923,41.4865,41.7808,42.075,42.3692,42.6635,42.9577,43.2519,43.5462,43.8404,44.1346,44.4288,44.7231,45.0173,45.3115,45.6058,45.9,46.1942,46.4885,46.7827,47.0769,47.3712,47.6654,47.9596,48.2538,48.5481,48.8423,49.1365,49.4308,49.725,50.0192,50.3135,50.6077,50.9019,51.1962,51.4904,51.7846,52.0788,52.3731,52.6673,52.9615,53.2558,53.55,53.8442,54.1385,54.4327,54.7269,55.0212,55.3154,55.6096,55.9038,56.1981,56.4923,56.7865,57.0808,57.375,57.6692,57.9635,58.2577,58.5519,58.8462,59.1404,59.4346,59.7288,60.0231,60.3173,60.6115,60.9058,61.2,61.4942,61.7885,62.0827,62.3769,62.6712,62.9654,63.2596,63.5538,63.8481,64.1423,64.4365,64.7308,65.025,65.3192,65.6135,65.9077,66.2019,66.4962,66.7904,67.0846,67.3788,67.6731,67.9673,68.2615,68.5558,68.85,69.1442,69.4385,69.7327,70.0269,70.3212,70.6154,70.9096,71.2038,71.4981,71.7923,72.0865,72.3808,72.675,72.9692,73.2635,73.5577,73.8519,74.1462,74.4404,74.7346,75.0288,75.3231,75.6173,75.9115,76.2058,76.5,76.7942,77.0885,77.3827,77.6769,77.9712,78.2654,78.5596,78.8538,79.1481,79.4423,79.7365,80.0308,80.325,80.6192,80.9135,81.2077,81.5019,81.7962,82.0904,82.3846,82.6788,82.9731,83.2673,83.5615,83.8558,84.15,84.4442,84.7385,85.0327,85.3269,85.6212,85.9154,86.2096,86.5038,86.7981,87.0923,87.3865,87.6808,87.975,88.2692,88.5635,88.8577,89.1519,89.4462,89.7404,90.0346,90.3288,90.6231,90.9173,91.2115,91.5058,91.8,92.0942,92.3144,92.3389,92.3635,92.388,92.4125,92.437,92.4615,92.4861,92.5106,92.5351,92.5596,92.5841,92.6087,92.6332,92.6577,92.6822,92.7067,92.7313,92.7558,92.7803,92.8048,92.8293,92.8538,92.8784,92.9029,92.9274,92.9519,92.9764,93.001,93.0255,93.05,93.0745,93.099,93.1236,93.1481,93.1726,93.1971,93.2216,93.2462,93.2707,93.2952,93.3197,93.3442,93.3688,93.3933,93.4178,93.4423,93.4668,93.4913,93.5159,93.5404,93.5649,93.5894,93.6139,93.6385,93.663,93.6875,93.712,93.7365,93.7611,93.7856,93.8101,93.8346,93.8591,93.8837,93.9082,93.9327,93.9572,93.9817,94.0063,94.0308,94.0553,94.0798,94.1043,94.1288,94.1534,94.1779,94.2024,94.2269,94.2514,94.276,94.3005,94.325,94.3495,94.374,94.3986,94.4231,94.4476,94.4721,94.4966,94.5212,94.5457,94.5702,94.5947,94.6192,94.6438,94.6683,94.6928,94.7173,94.7418,94.7663,94.7909,94.8154,94.8399,94.8644,94.8889,94.9135,94.938,94.9625,94.987,95.0115,95.0361,95.0606,95.0851,95.1096,95.1341,95.1587,95.1832,95.2077,95.2322,95.2567,95.2812,95.3058,95.3303,95.3548,95.3793,95.4038,95.4284,95.4529,95.4774,95.5019,95.5264,95.551,95.5755,95.6,95.6245,95.649,95.6736,95.6981,95.7226,95.7471,95.7716,95.7962,95.8207,95.8452,95.8697,95.8942,95.9188,95.9433,95.9678,95.9923,96.0168,96.0413,96.0659,96.0904,96.1149,96.1394,96.1639,96.1885,96.213,96.2375,96.262,96.2865,96.3111,96.3356,96.3601,96.3846,96.4091,96.4337,96.4582,96.4827,96.5072,96.5317,96.5563,96.5808,96.6053,96.6298,96.6543,96.6788,96.7034,96.7279,96.7524,96.7769,96.8014,96.826,96.8505,96.875,96.8995,96.924,96.9486,96.9731,96.9976,97.0221,97.0466,97.0712,97.0957,97.1202,97.1447,97.1692,97.1937,97.2183,97.2428,97.2673,97.2918,97.3163,97.3409,97.3654,97.3899,97.4144,97.4389,97.4635,97.488,97.5125,97.537,97.5615,97.5861,97.6106,97.6351,97.6596,97.6841,97.7087,97.7332,97.7577,97.7822,97.8067,97.8312,97.8558,97.8803,97.9048,97.9293,97.9538,97.9784,98.0029,98.0274,98.0519,98.0764,98.101,98.1255,98.15,98.1745,98.199,98.2236,98.2481,98.2726,98.2971,98.3216,98.3462,98.3707,98.3952,98.4197,98.4442,98.4688,98.4933,98.5178,98.5423,98.5668,98.5913,98.6159,98.6404,98.6649,98.6894,98.7139,98.7385,98.763,98.7875,98.812,98.8365,98.8611,98.8856,98.9101,98.9346,98.9591,98.9837,99.0082,99.0327,99.0572,99.0817,99.1062,99.1308,99.1553,99.1798,99.2043,99.2288,99.2534,99.2779,99.3024,99.3269,99.3514,99.376,99.4005,99.425,99.4495,99.474,99.4986,99.5231,99.5476,99.5721,99.5966,99.6212,99.6457,99.6702,99.6947,99.7192,99.7437,99.7683,99.7928,99.8173,99.8418,99.8663,99.8909,99.9154,99.9399,99.9644,99.9889,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "Iris-virginica",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Selective Naive Bayes",
-						"values": [0,0.268421,0.536842,0.805263,1.07368,1.34211,1.61053,1.87895,2.14737,2.41579,2.68421,2.95263,3.22105,3.48947,3.75789,4.02632,4.29474,4.56316,4.83158,5.1,5.36842,5.63684,5.90526,6.17368,6.44211,6.71053,6.97895,7.24737,7.51579,7.78421,8.05263,8.32105,8.58947,8.85789,9.12632,9.39474,9.66316,9.93158,10.2,10.4684,10.7368,11.0053,11.2737,11.5421,11.8105,12.0789,12.3474,12.6158,12.8842,13.1526,13.4211,13.6895,13.9579,14.2263,14.4947,14.7632,15.0316,15.3,15.5684,15.8368,16.1053,16.3737,16.6421,16.9105,17.1789,17.4474,17.7158,17.9842,18.2526,18.5211,18.7895,19.0579,19.3263,19.5947,19.8632,20.1316,20.4,20.6684,20.9368,21.2053,21.4737,21.7421,22.0105,22.2789,22.5474,22.8158,23.0842,23.3526,23.6211,23.8895,24.1579,24.4263,24.6947,24.9632,25.2316,25.5,25.7684,26.0368,26.3053,26.5737,26.8421,27.1105,27.3789,27.6474,27.9158,28.1842,28.4526,28.7211,28.9895,29.2579,29.5263,29.7947,30.0632,30.3316,30.6,30.8684,31.1368,31.4053,31.6737,31.9421,32.2105,32.4789,32.7474,33.0158,33.2842,33.5526,33.8211,34.0895,34.3579,34.6263,34.8947,35.1632,35.4316,35.7,35.9684,36.2368,36.5053,36.7737,37.0421,37.3105,37.5789,37.8474,38.1158,38.3842,38.6526,38.9211,39.1895,39.4579,39.7263,39.9947,40.2632,40.5316,40.8,41.0684,41.3368,41.6053,41.8737,42.1421,42.4105,42.6789,42.9474,43.2158,43.4842,43.7526,44.0211,44.2895,44.5579,44.8263,45.0947,45.3632,45.6316,45.9,46.1684,46.4368,46.7053,46.9737,47.2421,47.5105,47.7789,48.0474,48.3158,48.5842,48.8526,49.1211,49.3895,49.6579,49.9263,50.1947,50.4632,50.7316,51,51.2684,51.5368,51.8053,52.0737,52.3421,52.6105,52.8789,53.1474,53.4158,53.6842,53.9526,54.2211,54.4895,54.7579,55.0263,55.2947,55.5632,55.8316,56.1,56.3684,56.6368,56.9053,57.1737,57.4421,57.7105,57.9789,58.2474,58.5158,58.7842,59.0526,59.3211,59.5895,59.8579,60.1263,60.3947,60.6632,60.9316,61.2,61.4684,61.7368,62.0053,62.2737,62.5421,62.8105,63.0789,63.3474,63.6158,63.8842,64.1526,64.4211,64.6895,64.9579,65.2263,65.4947,65.7632,66.0316,66.3,66.5684,66.8368,67.1053,67.3737,67.6421,67.9105,68.1789,68.4474,68.7158,68.9842,69.2526,69.5211,69.7895,70.0579,70.3263,70.5947,70.8632,71.1316,71.4,71.6684,71.9368,72.2053,72.4737,72.7421,73.0105,73.2789,73.5474,73.8158,74.0842,74.3526,74.6211,74.8895,75.1579,75.4263,75.6947,75.9632,76.2316,76.5,76.7684,77.0368,77.3053,77.5737,77.8421,78.1105,78.3789,78.6474,78.9158,79.1842,79.4526,79.7211,79.9895,80.2579,80.5263,80.7947,81.0632,81.3316,81.6,81.8684,82.1368,82.4053,82.6737,82.9421,83.2105,83.4789,83.7474,84.0158,84.2842,84.5526,84.8211,85.0895,85.3579,85.6263,85.8947,86.1632,86.4316,86.7,86.9684,87.2368,87.5053,87.7737,88.0421,88.3105,88.5789,88.8474,89.1158,89.3842,89.6526,89.9211,90.1895,90.4579,90.7263,90.9947,91.2632,91.5316,91.8,92.0684,92.3368,92.6053,92.8737,93.1421,93.4105,93.6789,93.9474,94.2158,94.4842,94.7526,95.0211,95.2895,95.5579,95.8263,96.0947,96.3632,96.6316,96.9,97.1684,97.4368,97.7053,97.9737,98.2421,98.5105,98.7789,99.0474,99.3158,99.5842,99.8526,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Univariate SPetalLength",
-						"values": [0,0.251645,0.503289,0.754934,1.00658,1.25822,1.50987,1.76151,2.01316,2.2648,2.51645,2.76809,3.01974,3.27138,3.52303,3.77467,4.02632,4.27796,4.52961,4.78125,5.03289,5.28454,5.53618,5.78783,6.03947,6.29112,6.54276,6.79441,7.04605,7.2977,7.54934,7.80099,8.05263,8.30428,8.55592,8.80757,9.05921,9.31086,9.5625,9.81414,10.0658,10.3174,10.5691,10.8207,11.0724,11.324,11.5757,11.8273,12.0789,12.3306,12.5822,12.8339,13.0855,13.3372,13.5888,13.8405,14.0921,14.3438,14.5954,14.847,15.0987,15.3503,15.602,15.8536,16.1053,16.3569,16.6086,16.8602,17.1118,17.3635,17.6151,17.8668,18.1184,18.3701,18.6217,18.8734,19.125,19.3766,19.6283,19.8799,20.1316,20.3832,20.6349,20.8865,21.1382,21.3898,21.6414,21.8931,22.1447,22.3964,22.648,22.8997,23.1513,23.403,23.6546,23.9062,24.1579,24.4095,24.6612,24.9128,25.1645,25.4161,25.6678,25.9194,26.1711,26.4227,26.6743,26.926,27.1776,27.4293,27.6809,27.9326,28.1842,28.4359,28.6875,28.9391,29.1908,29.4424,29.6941,29.9457,30.1974,30.449,30.7007,30.9523,31.2039,31.4556,31.7072,31.9589,32.2105,32.4622,32.7138,32.9655,33.2171,33.4688,33.7204,33.972,34.2237,34.4753,34.727,34.9786,35.2303,35.4819,35.7336,35.9852,36.2368,36.4885,36.7401,36.9918,37.2434,37.4951,37.7467,37.9984,38.25,38.5016,38.7533,39.0049,39.2566,39.5082,39.7599,40.0115,40.2632,40.5148,40.7664,41.0181,41.2697,41.5214,41.773,42.0247,42.2763,42.528,42.7796,43.0312,43.2829,43.5345,43.7862,44.0378,44.2895,44.5411,44.7928,45.0444,45.2961,45.5477,45.7993,46.051,46.3026,46.5543,46.8059,47.0576,47.3092,47.5609,47.8125,48.0641,48.3158,48.5674,48.8191,49.0707,49.3224,49.574,49.8257,50.0773,50.3289,50.5806,50.8322,51.0839,51.3355,51.5872,51.8388,52.0905,52.3421,52.5937,52.8454,53.097,53.3487,53.6003,53.852,54.1036,54.3553,54.6069,54.8586,55.1102,55.3618,55.6135,55.8651,56.1168,56.3684,56.6201,56.8717,57.1234,57.375,57.6266,57.8783,58.1299,58.3816,58.6332,58.8849,59.1365,59.3882,59.6398,59.8914,60.1431,60.3947,60.6464,60.898,61.1497,61.4013,61.653,61.9046,62.1562,62.4079,62.6595,62.9112,63.1628,63.4145,63.6661,63.9178,64.1694,64.4211,64.6727,64.9243,65.176,65.4276,65.6793,65.9309,66.1826,66.4342,66.6859,66.9375,67.1891,67.4408,67.6924,67.9441,68.1957,68.4474,68.699,68.9507,69.2023,69.4539,69.7056,69.9572,70.2089,70.4605,70.7122,70.9638,71.2155,71.4671,71.7188,71.9704,72.222,72.4737,72.7253,72.977,73.2286,73.4803,73.7319,73.9836,74.2352,74.4868,74.7385,74.9901,75.2418,75.4934,75.7451,75.9967,76.2484,76.5,76.7516,77.0033,77.2549,77.5066,77.7582,78.0099,78.2615,78.5132,78.7648,78.9658,79.0329,79.1,79.1671,79.2342,79.3013,79.3684,79.4355,79.5026,79.5697,79.6368,79.7039,79.7711,79.8382,79.9053,79.9724,80.0395,80.1066,80.1737,80.2408,80.3079,80.375,80.4421,80.5092,80.5763,80.6434,80.7105,80.7776,80.8447,80.9118,80.9789,81.0461,81.1132,81.1803,81.2474,81.3145,81.3816,81.4487,81.5158,81.5829,81.65,81.7171,81.7842,81.8513,81.9184,81.9855,82.0526,82.1197,82.1868,82.2539,82.3211,82.3882,82.4553,82.5224,82.5895,82.6566,82.7237,82.7908,82.8579,82.925,82.9921,83.0592,83.1263,83.1934,83.2605,83.3276,83.3947,83.4618,83.5289,83.5961,83.6632,83.7303,83.7974,83.8645,83.9316,83.9987,84.0658,84.1329,84.2,84.2671,84.3342,84.4013,84.4684,84.5355,84.6026,84.6697,84.7368,84.8039,84.8711,84.9382,85.0053,85.0724,85.1395,85.2066,85.2737,85.3408,85.4079,85.475,85.5421,85.6092,85.6763,85.7434,85.8105,85.8776,85.9447,86.0118,86.0789,86.1461,86.2132,86.2803,86.3474,86.4145,86.4816,86.5487,86.6158,86.6829,86.75,86.8171,86.8842,86.9513,87.0184,87.0855,87.1526,87.2197,87.2868,87.3539,87.4211,87.4882,87.5553,87.6224,87.6895,87.7566,87.8237,87.8908,87.9579,88.025,88.0921,88.1592,88.2263,88.2934,88.3605,88.4276,88.4947,88.5618,88.6289,88.6961,88.7632,88.8303,88.8974,88.9645,89.0316,89.0987,89.1658,89.2329,89.3,89.3671,89.4342,89.5013,89.5684,89.6355,89.7026,89.7697,89.8368,89.9039,89.9711,90.0382,90.1053,90.1724,90.2395,90.3066,90.3737,90.4408,90.5079,90.575,90.6421,90.7092,90.7763,90.8434,90.9105,90.9776,91.0447,91.1118,91.1789,91.2461,91.3132,91.3803,91.4474,91.5145,91.5816,91.6487,91.7158,91.7829,91.85,91.9171,91.9842,92.0513,92.1184,92.1855,92.2526,92.3197,92.3868,92.4539,92.5211,92.5882,92.6553,92.7224,92.7895,92.8566,92.9237,92.9908,93.0579,93.125,93.1921,93.2592,93.3263,93.3934,93.4605,93.5276,93.5947,93.6618,93.7289,93.7961,93.8632,93.9303,93.9974,94.0645,94.1316,94.1987,94.2658,94.3329,94.4,94.4671,94.5342,94.6013,94.6684,94.7355,94.8026,94.8697,94.9368,95.0039,95.0711,95.1382,95.2053,95.2724,95.3395,95.4066,95.4737,95.5408,95.6079,95.675,95.7421,95.8092,95.8763,95.9434,96.0105,96.0776,96.1447,96.2118,96.2789,96.3461,96.4132,96.4803,96.5474,96.6145,96.6816,96.7487,96.8158,96.8829,96.95,97.0171,97.0842,97.1513,97.2184,97.2855,97.3526,97.4197,97.4868,97.5539,97.6211,97.6882,97.7553,97.8224,97.8895,97.9566,98.0237,98.0908,98.1579,98.225,98.2921,98.3592,98.4263,98.4934,98.5605,98.6276,98.6947,98.7618,98.8289,98.8961,98.9632,99.0303,99.0974,99.1645,99.2316,99.2987,99.3658,99.4329,99.5,99.5671,99.6342,99.7013,99.7684,99.8355,99.9026,99.9697,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [31,37,31]
-			},
-			"evaluatedVariables": 11,
-			"nativeVariables": 4,
-			"constructedVariables": 7,
-			"informativeVariables": 9,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"level": 0.610351,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 5,
-				"mode": "4",
-				"modeFrequency": 32,
-				"constructionCost": 3.09104,
-				"preparationCost": 30.9202,
-				"dataCost": 9.95655,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R02",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"level": 0.60443,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.801010101,
-				"stdDev": 1.712137004,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 32.848,
-				"dataCost": 8.69684
-			},
-			{
-				"rank": "R03",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"level": 0.593493,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 20,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.218181818,
-				"stdDev": 0.749863777,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 32.8225,
-				"dataCost": 9.95655
-			},
-			{
-				"rank": "R04",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"level": 0.450217,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 9,
-				"min": 1,
-				"max": 3,
-				"mean": 2.517171717,
-				"stdDev": 0.7226550938,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 14.4125,
-				"dataCost": 44.5336,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R05",
-				"name": "Class2",
-				"type": "Categorical",
-				"level": 0.448377,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 62,
-				"constructionCost": 3.09104,
-				"preparationCost": 18.472,
-				"dataCost": 40.6817,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R06",
-				"name": "Class1",
-				"type": "Categorical",
-				"level": 0.414152,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 68,
-				"constructionCost": 3.09104,
-				"preparationCost": 18.4821,
-				"dataCost": 44.5336,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R07",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"level": 0.287849,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.681818182,
-				"stdDev": 0.2962266524,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 14.4438,
-				"dataCost": 62.8239,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			},
-			{
-				"rank": "R08",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"level": 0.25062,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 30,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.848484848,
-				"stdDev": 0.8065844732,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 25.5757,
-				"dataCost": 55.893
-			},
-			{
-				"rank": "R09",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"level": 0.10454,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 22,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.042424242,
-				"stdDev": 0.4422374035,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 16.563,
-				"dataCost": 81.3891
-			},
-			{
-				"rank": "R10",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"level": 0,
-				"targetParts": 1,
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R11",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"level": 0,
-				"targetParts": 1,
-				"parts": 1,
-				"values": 99,
-				"min": 0.01372010867,
-				"max": 0.9853969761,
-				"mean": 0.5371015665,
-				"stdDev": 0.2836682962,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 103.619,
-				"derivationRule": "Random()"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[36,0,2],
-						[0,31,0],
-						[1,0,29]
-					],
-					"partInterests": [0.311045,0.374224,0.314731]
-				},
-				"inputValues": {
-					"values": ["4","1","5","3","6"],
-					"frequencies": [32,31,24,6,6]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[0,31,0],
-						[34,0,0],
-						[3,0,31]
-					],
-					"partInterests": [0.366329,0.340558,0.293112]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[0,31,0],
-						[36,0,2],
-						[1,0,29]
-					],
-					"partInterests": [0.374224,0.311045,0.314731]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"partTargetFrequencies": [
-						[0,31],
-						[68,0]
-					],
-					"partInterests": [0.584937,0.415063]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa","Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"partTargetFrequencies": [
-						[62,0],
-						[0,37]
-					],
-					"partInterests": [0.443449,0.556551]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [62,37]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"partTargetFrequencies": [
-						[68,0],
-						[0,31]
-					],
-					"partInterests": [0.415063,0.584937]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [68,31]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"partTargetFrequencies": [
-						[64,2],
-						[4,29]
-					],
-					"partInterests": [0.430815,0.569185]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.15],
-								[5.15,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"partTargetFrequencies": [
-						[2,21,0],
-						[13,10,1],
-						[22,0,30]
-					],
-					"partInterests": [0.422567,0.122381,0.455053]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"partTargetFrequencies": [
-						[65,11],
-						[3,20]
-					],
-					"partInterests": [0.271773,0.728227]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 3
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"variables": 1
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R1": {
+				"selectedVariables": [
+					{
+						"preparedName": "PClass2",
+						"name": "Class2",
+						"level": 0.415416,
+						"weight": 0.640625,
+						"importance": 0.515874
+					},
+					{
+						"preparedName": "PClass1",
+						"name": "Class1",
+						"level": 0.4499,
+						"weight": 0.421875,
+						"importance": 0.435662
+					},
+					{
+						"preparedName": "PLowerPetalLength",
+						"name": "LowerPetalLength",
+						"level": 0.48393,
+						"weight": 0.203125,
+						"importance": 0.313526
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991623,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.971429,
+				"compression": 0.892955,
+				"auc": 0.986807
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,32,0],
+						[0,0,35]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[38,0,0],
+						[0,31,2],
+						[0,1,33]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,2,31],
+						[0,33,1]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.276316,0.552632,0.828947,1.10526,1.38158,1.65789,1.93421,2.21053,2.48684,2.76316,3.03947,3.31579,3.59211,3.86842,4.14474,4.42105,4.69737,4.97368,5.25,5.52632,5.80263,6.07895,6.35526,6.63158,6.90789,7.18421,7.46053,7.73684,8.01316,8.28947,8.56579,8.84211,9.11842,9.39474,9.67105,9.94737,10.2237,10.5,10.7763,11.0526,11.3289,11.6053,11.8816,12.1579,12.4342,12.7105,12.9868,13.2632,13.5395,13.8158,14.0921,14.3684,14.6447,14.9211,15.1974,15.4737,15.75,16.0263,16.3026,16.5789,16.8553,17.1316,17.4079,17.6842,17.9605,18.2368,18.5132,18.7895,19.0658,19.3421,19.6184,19.8947,20.1711,20.4474,20.7237,21,21.2763,21.5526,21.8289,22.1053,22.3816,22.6579,22.9342,23.2105,23.4868,23.7632,24.0395,24.3158,24.5921,24.8684,25.1447,25.4211,25.6974,25.9737,26.25,26.5263,26.8026,27.0789,27.3553,27.6316,27.9079,28.1842,28.4605,28.7368,29.0132,29.2895,29.5658,29.8421,30.1184,30.3947,30.6711,30.9474,31.2237,31.5,31.7763,32.0526,32.3289,32.6053,32.8816,33.1579,33.4342,33.7105,33.9868,34.2632,34.5395,34.8158,35.0921,35.3684,35.6447,35.9211,36.1974,36.4737,36.75,37.0263,37.3026,37.5789,37.8553,38.1316,38.4079,38.6842,38.9605,39.2368,39.5132,39.7895,40.0658,40.3421,40.6184,40.8947,41.1711,41.4474,41.7237,42,42.2763,42.5526,42.8289,43.1053,43.3816,43.6579,43.9342,44.2105,44.4868,44.7632,45.0395,45.3158,45.5921,45.8684,46.1447,46.4211,46.6974,46.9737,47.25,47.5263,47.8026,48.0789,48.3553,48.6316,48.9079,49.1842,49.4605,49.7368,50.0132,50.2895,50.5658,50.8421,51.1184,51.3947,51.6711,51.9474,52.2237,52.5,52.7763,53.0526,53.3289,53.6053,53.8816,54.1579,54.4342,54.7105,54.9868,55.2632,55.5395,55.8158,56.0921,56.3684,56.6447,56.9211,57.1974,57.4737,57.75,58.0263,58.3026,58.5789,58.8553,59.1316,59.4079,59.6842,59.9605,60.2368,60.5132,60.7895,61.0658,61.3421,61.6184,61.8947,62.1711,62.4474,62.7237,63,63.2763,63.5526,63.8289,64.1053,64.3816,64.6579,64.9342,65.2105,65.4868,65.7632,66.0395,66.3158,66.5921,66.8684,67.1447,67.4211,67.6974,67.9737,68.25,68.5263,68.8026,69.0789,69.3553,69.6316,69.9079,70.1842,70.4605,70.7368,71.0132,71.2895,71.5658,71.8421,72.1184,72.3947,72.6711,72.9474,73.2237,73.5,73.7763,74.0526,74.3289,74.6053,74.8816,75.1579,75.4342,75.7105,75.9868,76.2632,76.5395,76.8158,77.0921,77.3684,77.6447,77.9211,78.1974,78.4737,78.75,79.0263,79.3026,79.5789,79.8553,80.1316,80.4079,80.6842,80.9605,81.2368,81.5132,81.7895,82.0658,82.3421,82.6184,82.8947,83.1711,83.4474,83.7237,84,84.2763,84.5526,84.8289,85.1053,85.3816,85.6579,85.9342,86.2105,86.4868,86.7632,87.0395,87.3158,87.5921,87.8684,88.1447,88.4211,88.6974,88.9737,89.25,89.5263,89.8026,90.0789,90.3553,90.6316,90.9079,91.1842,91.4605,91.7368,92.0132,92.2895,92.5658,92.8421,93.1184,93.3947,93.6711,93.9474,94.2237,94.5,94.7763,95.0526,95.3289,95.6053,95.8816,96.1579,96.4342,96.7105,96.9868,97.2632,97.5395,97.8158,98.0921,98.3684,98.6447,98.9211,99.1974,99.4737,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60937,3.9375,4.26562,4.59375,4.92187,5.25,5.57812,5.90625,6.23437,6.5625,6.89062,7.21875,7.54687,7.875,8.20312,8.53125,8.85937,9.1875,9.51562,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4687,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0937,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7187,18.0469,18.375,18.7031,19.0312,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6562,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9062,27.2344,27.5625,27.8906,28.2187,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7187,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3437,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2812,45.6094,45.9375,46.2656,46.5937,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2187,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1562,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0937,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5937,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0937,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9062,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5312,92.8594,93.1875,93.5156,93.8437,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.328125,0.65625,0.984375,1.3125,1.64062,1.96875,2.29688,2.625,2.95312,3.28125,3.60938,3.9375,4.26563,4.59375,4.92188,5.25,5.57812,5.90625,6.23438,6.5625,6.89062,7.21875,7.54688,7.875,8.20312,8.53125,8.85938,9.1875,9.51563,9.84375,10.1719,10.5,10.8281,11.1562,11.4844,11.8125,12.1406,12.4688,12.7969,13.125,13.4531,13.7812,14.1094,14.4375,14.7656,15.0938,15.4219,15.75,16.0781,16.4062,16.7344,17.0625,17.3906,17.7188,18.0469,18.375,18.7031,19.0313,19.3594,19.6875,20.0156,20.3438,20.6719,21,21.3281,21.6563,21.9844,22.3125,22.6406,22.9688,23.2969,23.625,23.9531,24.2812,24.6094,24.9375,25.2656,25.5938,25.9219,26.25,26.5781,26.9063,27.2344,27.5625,27.8906,28.2188,28.5469,28.875,29.2031,29.5312,29.8594,30.1875,30.5156,30.8437,31.1719,31.5,31.8281,32.1562,32.4844,32.8125,33.1406,33.4688,33.7969,34.125,34.4531,34.7812,35.1094,35.4375,35.7656,36.0938,36.4219,36.75,37.0781,37.4062,37.7344,38.0625,38.3906,38.7188,39.0469,39.375,39.7031,40.0312,40.3594,40.6875,41.0156,41.3438,41.6719,42,42.3281,42.6562,42.9844,43.3125,43.6406,43.9688,44.2969,44.625,44.9531,45.2813,45.6094,45.9375,46.2656,46.5938,46.9219,47.25,47.5781,47.9062,48.2344,48.5625,48.8906,49.2188,49.5469,49.875,50.2031,50.5312,50.8594,51.1875,51.5156,51.8438,52.1719,52.5,52.8281,53.1563,53.4844,53.8125,54.1406,54.4688,54.7969,55.125,55.4531,55.7813,56.1094,56.4375,56.7656,57.0938,57.4219,57.75,58.0781,58.4062,58.7344,59.0625,59.3906,59.7188,60.0469,60.375,60.7031,61.0312,61.3594,61.6875,62.0156,62.3438,62.6719,63,63.3281,63.6562,63.9844,64.3125,64.6406,64.9688,65.2969,65.625,65.9531,66.2812,66.6094,66.9375,67.2656,67.5938,67.9219,68.25,68.5781,68.9062,69.2344,69.5625,69.8906,70.2188,70.5469,70.875,71.2031,71.5312,71.8594,72.1875,72.5156,72.8438,73.1719,73.5,73.8281,74.1562,74.4844,74.8125,75.1406,75.4688,75.7969,76.125,76.4531,76.7812,77.1094,77.4375,77.7656,78.0938,78.4219,78.75,79.0781,79.4062,79.7344,80.0625,80.3906,80.7188,81.0469,81.375,81.7031,82.0312,82.3594,82.6875,83.0156,83.3438,83.6719,84,84.3281,84.6562,84.9844,85.3125,85.6406,85.9688,86.2969,86.625,86.9531,87.2812,87.6094,87.9375,88.2656,88.5938,88.9219,89.25,89.5781,89.9063,90.2344,90.5625,90.8906,91.2188,91.5469,91.875,92.2031,92.5313,92.8594,93.1875,93.5156,93.8438,94.1719,94.5,94.8281,95.1562,95.4844,95.8125,96.1406,96.4687,96.7969,97.125,97.4531,97.7812,98.1094,98.4375,98.7656,99.0937,99.4219,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.308239,0.616477,0.924716,1.23295,1.54119,1.84943,2.15767,2.46591,2.77415,3.08239,3.39062,3.69886,4.0071,4.31534,4.62358,4.93182,5.24006,5.5483,5.85653,6.16477,6.47301,6.78125,7.08949,7.39773,7.70597,8.0142,8.32244,8.63068,8.93892,9.24716,9.5554,9.86364,10.1719,10.4801,10.7884,11.0966,11.4048,11.7131,12.0213,12.3295,12.6378,12.946,13.2543,13.5625,13.8707,14.179,14.4872,14.7955,15.1037,15.4119,15.7202,16.0284,16.3366,16.6449,16.9531,17.2614,17.5696,17.8778,18.1861,18.4943,18.8026,19.1108,19.419,19.7273,20.0355,20.3438,20.652,20.9602,21.2685,21.5767,21.8849,22.1932,22.5014,22.8097,23.1179,23.4261,23.7344,24.0426,24.3509,24.6591,24.9673,25.2756,25.5838,25.892,26.2003,26.5085,26.8168,27.125,27.4332,27.7415,28.0497,28.358,28.6662,28.9744,29.2827,29.5909,29.8991,30.2074,30.5156,30.8239,31.1321,31.4403,31.7486,32.0568,32.3651,32.6733,32.9815,33.2898,33.598,33.9062,34.2145,34.5227,34.831,35.1392,35.4474,35.7557,36.0639,36.3722,36.6804,36.9886,37.2969,37.6051,37.9134,38.2216,38.5298,38.8381,39.1463,39.4545,39.7628,40.071,40.3793,40.6875,40.9957,41.304,41.6122,41.9205,42.2287,42.5369,42.8452,43.1534,43.4616,43.7699,44.0781,44.3864,44.6946,45.0028,45.3111,45.6193,45.9276,46.2358,46.544,46.8523,47.1605,47.4687,47.777,48.0852,48.3935,48.7017,49.0099,49.3182,49.6264,49.9347,50.2429,50.5511,50.8594,51.1676,51.4759,51.7841,52.0923,52.4006,52.7088,53.017,53.3253,53.6335,53.9418,54.25,54.5582,54.8665,55.1747,55.483,55.7912,56.0994,56.4077,56.7159,57.0241,57.3324,57.6406,57.9489,58.2571,58.5653,58.8736,59.1818,59.4901,59.7983,60.1065,60.4148,60.723,61.0313,61.3395,61.6477,61.956,62.2642,62.5724,62.8807,63.1889,63.4972,63.8054,64.1136,64.4219,64.7301,65.0384,65.3466,65.6548,65.9631,66.2713,66.5795,66.8878,67.196,67.5043,67.8125,68.1207,68.429,68.7372,69.0455,69.3537,69.6619,69.9702,70.2784,70.5866,70.8949,71.2031,71.5114,71.8196,72.1278,72.4361,72.7443,73.0526,73.3608,73.669,73.9773,74.2855,74.5938,74.902,75.2102,75.5185,75.8267,76.1349,76.4432,76.7514,77.0597,77.3679,77.6761,77.9844,78.2926,78.6009,78.9091,79.2173,79.5256,79.8338,80.142,80.4503,80.7585,81.0668,81.375,81.6832,81.9915,82.2997,82.608,82.9162,83.2244,83.5327,83.8409,84.1491,84.4574,84.7656,85.0739,85.3821,85.6903,85.9986,86.3068,86.6151,86.9233,87.2315,87.5398,87.848,88.1563,88.4645,88.7727,89.081,89.3892,89.6974,90.0057,90.3139,90.6222,90.9304,91.2386,91.5469,91.8551,92.1634,92.4716,92.7798,93.0881,93.3963,93.7045,94.0128,94.321,94.6293,94.9375,95.2457,95.554,95.8622,96.1705,96.4787,96.7869,96.8819,96.8915,96.9012,96.9108,96.9205,96.9301,96.9398,96.9494,96.9591,96.9688,96.9784,96.9881,96.9977,97.0074,97.017,97.0267,97.0363,97.046,97.0556,97.0653,97.0749,97.0846,97.0942,97.1039,97.1135,97.1232,97.1328,97.1425,97.1521,97.1618,97.1714,97.1811,97.1907,97.2004,97.21,97.2197,97.2293,97.239,97.2486,97.2583,97.2679,97.2776,97.2872,97.2969,97.3065,97.3162,97.3258,97.3355,97.3451,97.3548,97.3644,97.3741,97.3837,97.3934,97.403,97.4127,97.4223,97.432,97.4416,97.4513,97.4609,97.4706,97.4802,97.4899,97.4995,97.5092,97.5188,97.5285,97.5381,97.5478,97.5574,97.5671,97.5767,97.5864,97.596,97.6057,97.6153,97.625,97.6347,97.6443,97.654,97.6636,97.6733,97.6829,97.6926,97.7022,97.7119,97.7215,97.7312,97.7408,97.7505,97.7601,97.7698,97.7794,97.7891,97.7987,97.8084,97.818,97.8277,97.8373,97.847,97.8566,97.8663,97.8759,97.8856,97.8952,97.9049,97.9145,97.9242,97.9338,97.9435,97.9531,97.9628,97.9724,97.9821,97.9917,98.0014,98.011,98.0207,98.0303,98.04,98.0496,98.0593,98.0689,98.0786,98.0882,98.0979,98.1075,98.1172,98.1268,98.1365,98.1461,98.1558,98.1654,98.1751,98.1847,98.1944,98.204,98.2137,98.2233,98.233,98.2426,98.2523,98.2619,98.2716,98.2812,98.2909,98.3006,98.3102,98.3199,98.3295,98.3392,98.3488,98.3585,98.3681,98.3778,98.3874,98.3971,98.4067,98.4164,98.426,98.4357,98.4453,98.455,98.4646,98.4743,98.4839,98.4936,98.5032,98.5129,98.5225,98.5322,98.5418,98.5515,98.5611,98.5708,98.5804,98.5901,98.5997,98.6094,98.619,98.6287,98.6383,98.648,98.6576,98.6673,98.6769,98.6866,98.6962,98.7059,98.7155,98.7252,98.7348,98.7445,98.7541,98.7638,98.7734,98.7831,98.7927,98.8024,98.812,98.8217,98.8313,98.841,98.8506,98.8603,98.8699,98.8796,98.8892,98.8989,98.9085,98.9182,98.9278,98.9375,98.9472,98.9568,98.9665,98.9761,98.9858,98.9954,99.0051,99.0147,99.0244,99.034,99.0437,99.0533,99.063,99.0726,99.0823,99.0919,99.1016,99.1112,99.1209,99.1305,99.1402,99.1498,99.1595,99.1691,99.1788,99.1884,99.1981,99.2077,99.2174,99.227,99.2367,99.2463,99.256,99.2656,99.2753,99.2849,99.2946,99.3042,99.3139,99.3235,99.3332,99.3428,99.3525,99.3621,99.3718,99.3814,99.3911,99.4007,99.4104,99.42,99.4297,99.4393,99.449,99.4586,99.4683,99.4779,99.4876,99.4972,99.5069,99.5165,99.5262,99.5358,99.5455,99.5551,99.5648,99.5744,99.5841,99.5938,99.6034,99.6131,99.6227,99.6324,99.642,99.6517,99.6613,99.671,99.6806,99.6903,99.6999,99.7096,99.7192,99.7289,99.7385,99.7482,99.7578,99.7675,99.7771,99.7868,99.7964,99.8061,99.8157,99.8254,99.835,99.8447,99.8543,99.864,99.8736,99.8833,99.8929,99.9026,99.9122,99.9219,99.9315,99.9412,99.9508,99.9605,99.9701,99.9798,99.9894,99.9991,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.291176,0.582353,0.873529,1.16471,1.45588,1.74706,2.03824,2.32941,2.62059,2.91176,3.20294,3.49412,3.78529,4.07647,4.36765,4.65882,4.95,5.24118,5.53235,5.82353,6.11471,6.40588,6.69706,6.98824,7.27941,7.57059,7.86176,8.15294,8.44412,8.73529,9.02647,9.31765,9.60882,9.9,10.1912,10.4824,10.7735,11.0647,11.3559,11.6471,11.9382,12.2294,12.5206,12.8118,13.1029,13.3941,13.6853,13.9765,14.2676,14.5588,14.85,15.1412,15.4324,15.7235,16.0147,16.3059,16.5971,16.8882,17.1794,17.4706,17.7618,18.0529,18.3441,18.6353,18.9265,19.2176,19.5088,19.8,20.0912,20.3824,20.6735,20.9647,21.2559,21.5471,21.8382,22.1294,22.4206,22.7118,23.0029,23.2941,23.5853,23.8765,24.1676,24.4588,24.75,25.0412,25.3324,25.6235,25.9147,26.2059,26.4971,26.7882,27.0794,27.3706,27.6618,27.9529,28.2441,28.5353,28.8265,29.1176,29.4088,29.7,29.9912,30.2824,30.5735,30.8647,31.1559,31.4471,31.7382,32.0294,32.3206,32.6118,32.9029,33.1941,33.4853,33.7765,34.0676,34.3588,34.65,34.9412,35.2324,35.5235,35.8147,36.1059,36.3971,36.6882,36.9794,37.2706,37.5618,37.8529,38.1441,38.4353,38.7265,39.0176,39.3088,39.6,39.8912,40.1824,40.4735,40.7647,41.0559,41.3471,41.6382,41.9294,42.2206,42.5118,42.8029,43.0941,43.3853,43.6765,43.9676,44.2588,44.55,44.8412,45.1324,45.4235,45.7147,46.0059,46.2971,46.5882,46.8794,47.1706,47.4618,47.7529,48.0441,48.3353,48.6265,48.9176,49.2088,49.5,49.7912,50.0824,50.3735,50.6647,50.9559,51.2471,51.5382,51.8294,52.1206,52.4118,52.7029,52.9941,53.2853,53.5765,53.8676,54.1588,54.45,54.7412,55.0324,55.3235,55.6147,55.9059,56.1971,56.4882,56.7794,57.0706,57.3618,57.6529,57.9441,58.2353,58.5265,58.8176,59.1088,59.4,59.6912,59.9824,60.2735,60.5647,60.8559,61.1471,61.4382,61.7294,62.0206,62.3118,62.6029,62.8941,63.1853,63.4765,63.7676,64.0588,64.35,64.6412,64.9324,65.2235,65.5147,65.8059,66.0971,66.3882,66.6794,66.9706,67.2618,67.5529,67.8441,68.1353,68.4265,68.7176,69.0088,69.3,69.5912,69.8824,70.1735,70.4647,70.7559,71.0471,71.3382,71.6294,71.9206,72.2118,72.5029,72.7941,73.0853,73.3765,73.6676,73.9588,74.25,74.5412,74.8324,75.1235,75.4147,75.7059,75.9971,76.2882,76.5794,76.8706,77.1618,77.4529,77.7441,78.0353,78.3265,78.6176,78.9088,79.2,79.4912,79.7824,80.0735,80.3647,80.6559,80.9471,81.2382,81.5294,81.8206,82.1118,82.4029,82.6941,82.9853,83.2765,83.5676,83.8588,84.15,84.4412,84.7324,85.0235,85.3147,85.6059,85.8971,86.1882,86.4794,86.7706,87.0618,87.3529,87.6441,87.9353,88.2265,88.5176,88.8088,89.1,89.3912,89.6824,89.9735,90.2647,90.5559,90.8471,91.1382,91.4294,91.7206,92.0118,92.3029,92.5941,92.8853,93.1765,93.4676,93.7588,94.05,94.2892,94.3074,94.3255,94.3437,94.3619,94.3801,94.3983,94.4165,94.4346,94.4528,94.471,94.4892,94.5074,94.5255,94.5437,94.5619,94.5801,94.5983,94.6165,94.6346,94.6528,94.671,94.6892,94.7074,94.7255,94.7437,94.7619,94.7801,94.7983,94.8165,94.8346,94.8528,94.871,94.8892,94.9074,94.9255,94.9437,94.9619,94.9801,94.9983,95.0165,95.0346,95.0528,95.071,95.0892,95.1074,95.1255,95.1437,95.1619,95.1801,95.1983,95.2165,95.2346,95.2528,95.271,95.2892,95.3074,95.3255,95.3437,95.3619,95.3801,95.3983,95.4165,95.4346,95.4528,95.471,95.4892,95.5074,95.5255,95.5437,95.5619,95.5801,95.5983,95.6165,95.6346,95.6528,95.671,95.6892,95.7074,95.7255,95.7437,95.7619,95.7801,95.7983,95.8165,95.8346,95.8528,95.871,95.8892,95.9074,95.9255,95.9437,95.9619,95.9801,95.9983,96.0165,96.0346,96.0528,96.071,96.0892,96.1074,96.1255,96.1437,96.1619,96.1801,96.1983,96.2165,96.2346,96.2528,96.271,96.2892,96.3074,96.3255,96.3437,96.3619,96.3801,96.3983,96.4165,96.4346,96.4528,96.471,96.4892,96.5074,96.5255,96.5437,96.5619,96.5801,96.5983,96.6165,96.6346,96.6528,96.671,96.6892,96.7074,96.7255,96.7437,96.7619,96.7801,96.7983,96.8165,96.8346,96.8528,96.871,96.8892,96.9074,96.9255,96.9437,96.9619,96.9801,96.9983,97.0165,97.0346,97.0528,97.071,97.0892,97.1074,97.1255,97.1437,97.1619,97.1801,97.1983,97.2165,97.2346,97.2528,97.271,97.2892,97.3074,97.3255,97.3437,97.3619,97.3801,97.3983,97.4165,97.4346,97.4528,97.471,97.4892,97.5074,97.5255,97.5437,97.5619,97.5801,97.5983,97.6165,97.6346,97.6528,97.671,97.6892,97.7074,97.7255,97.7437,97.7619,97.7801,97.7983,97.8165,97.8346,97.8528,97.871,97.8892,97.9074,97.9255,97.9437,97.9619,97.9801,97.9983,98.0165,98.0346,98.0528,98.071,98.0892,98.1074,98.1255,98.1437,98.1619,98.1801,98.1983,98.2165,98.2346,98.2528,98.271,98.2892,98.3074,98.3255,98.3437,98.3619,98.3801,98.3983,98.4165,98.4346,98.4528,98.471,98.4892,98.5074,98.5255,98.5437,98.5619,98.5801,98.5983,98.6165,98.6346,98.6528,98.671,98.6892,98.7074,98.7255,98.7437,98.7619,98.7801,98.7983,98.8165,98.8346,98.8528,98.871,98.8892,98.9074,98.9255,98.9437,98.9619,98.9801,98.9983,99.0165,99.0346,99.0528,99.071,99.0892,99.1074,99.1255,99.1437,99.1619,99.1801,99.1983,99.2165,99.2346,99.2528,99.271,99.2892,99.3074,99.3255,99.3437,99.3619,99.3801,99.3983,99.4165,99.4346,99.4528,99.471,99.4892,99.5074,99.5255,99.5437,99.5619,99.5801,99.5983,99.6165,99.6346,99.6528,99.671,99.6892,99.7074,99.7255,99.7437,99.7619,99.7801,99.7983,99.8165,99.8346,99.8528,99.871,99.8892,99.9074,99.9255,99.9437,99.9619,99.9801,99.9983,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 45,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 1,
+				"compression": 0.991545,
+				"auc": 1
+			},
+			{
+				"rank": "R2",
+				"type": "Classifier",
+				"family": "Univariate",
+				"name": "Univariate PetalWidth",
+				"accuracy": 0.933333,
+				"compression": 0.795811,
+				"auc": 0.957778
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,0],
+						[0,0,15]
+					]
+				}
+			},
+			"R2": {
+				"confusionMatrix": {
+					"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+					"matrix": [
+						[12,0,0],
+						[0,18,3],
+						[0,0,12]
+					]
+				},
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[12,0,0],
+						[0,3,18],
+						[0,12,0]
+					],
+					"partInterests": [0.394348,0.27788,0.327772]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "Iris-setosa",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.375,0.75,1.125,1.5,1.875,2.25,2.625,3,3.375,3.75,4.125,4.5,4.875,5.25,5.625,6,6.375,6.75,7.125,7.5,7.875,8.25,8.625,9,9.375,9.75,10.125,10.5,10.875,11.25,11.625,12,12.375,12.75,13.125,13.5,13.875,14.25,14.625,15,15.375,15.75,16.125,16.5,16.875,17.25,17.625,18,18.375,18.75,19.125,19.5,19.875,20.25,20.625,21,21.375,21.75,22.125,22.5,22.875,23.25,23.625,24,24.375,24.75,25.125,25.5,25.875,26.25,26.625,27,27.375,27.75,28.125,28.5,28.875,29.25,29.625,30,30.375,30.75,31.125,31.5,31.875,32.25,32.625,33,33.375,33.75,34.125,34.5,34.875,35.25,35.625,36,36.375,36.75,37.125,37.5,37.875,38.25,38.625,39,39.375,39.75,40.125,40.5,40.875,41.25,41.625,42,42.375,42.75,43.125,43.5,43.875,44.25,44.625,45,45.375,45.75,46.125,46.5,46.875,47.25,47.625,48,48.375,48.75,49.125,49.5,49.875,50.25,50.625,51,51.375,51.75,52.125,52.5,52.875,53.25,53.625,54,54.375,54.75,55.125,55.5,55.875,56.25,56.625,57,57.375,57.75,58.125,58.5,58.875,59.25,59.625,60,60.375,60.75,61.125,61.5,61.875,62.25,62.625,63,63.375,63.75,64.125,64.5,64.875,65.25,65.625,66,66.375,66.75,67.125,67.5,67.875,68.25,68.625,69,69.375,69.75,70.125,70.5,70.875,71.25,71.625,72,72.375,72.75,73.125,73.5,73.875,74.25,74.625,75,75.375,75.75,76.125,76.5,76.875,77.25,77.625,78,78.375,78.75,79.125,79.5,79.875,80.25,80.625,81,81.375,81.75,82.125,82.5,82.875,83.25,83.625,84,84.375,84.75,85.125,85.5,85.875,86.25,86.625,87,87.375,87.75,88.125,88.5,88.875,89.25,89.625,90,90.375,90.75,91.125,91.5,91.875,92.25,92.625,93,93.375,93.75,94.125,94.5,94.875,95.25,95.625,96,96.375,96.75,97.125,97.5,97.875,98.25,98.625,99,99.375,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-versicolor",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72,72.25,72.5,72.75,73,73.25,73.5,73.75,74,74.25,74.5,74.75,75,75.25,75.5,75.75,76,76.25,76.5,76.75,77,77.25,77.5,77.75,78,78.25,78.5,78.75,79,79.25,79.5,79.75,80,80.25,80.5,80.75,81,81.25,81.5,81.75,82,82.25,82.5,82.75,83,83.25,83.5,83.75,84,84.25,84.5,84.75,85,85.25,85.5,85.75,86,86.25,86.5,86.75,87,87.25,87.5,87.75,88,88.25,88.5,88.75,89,89.25,89.5,89.75,90,90.25,90.5,90.75,91,91.25,91.5,91.75,92,92.25,92.5,92.75,93,93.25,93.5,93.75,94,94.25,94.5,94.75,95,95.25,95.5,95.75,96,96.25,96.5,96.75,97,97.25,97.5,97.75,98,98.25,98.5,98.75,99,99.25,99.5,99.75,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.214286,0.428571,0.642857,0.857143,1.07143,1.28571,1.5,1.71429,1.92857,2.14286,2.35714,2.57143,2.78571,3,3.21429,3.42857,3.64286,3.85714,4.07143,4.28571,4.5,4.71429,4.92857,5.14286,5.35714,5.57143,5.78571,6,6.21429,6.42857,6.64286,6.85714,7.07143,7.28571,7.5,7.71429,7.92857,8.14286,8.35714,8.57143,8.78571,9,9.21429,9.42857,9.64286,9.85714,10.0714,10.2857,10.5,10.7143,10.9286,11.1429,11.3571,11.5714,11.7857,12,12.2143,12.4286,12.6429,12.8571,13.0714,13.2857,13.5,13.7143,13.9286,14.1429,14.3571,14.5714,14.7857,15,15.2143,15.4286,15.6429,15.8571,16.0714,16.2857,16.5,16.7143,16.9286,17.1429,17.3571,17.5714,17.7857,18,18.2143,18.4286,18.6429,18.8571,19.0714,19.2857,19.5,19.7143,19.9286,20.1429,20.3571,20.5714,20.7857,21,21.2143,21.4286,21.6429,21.8571,22.0714,22.2857,22.5,22.7143,22.9286,23.1429,23.3571,23.5714,23.7857,24,24.2143,24.4286,24.6429,24.8571,25.0714,25.2857,25.5,25.7143,25.9286,26.1429,26.3571,26.5714,26.7857,27,27.2143,27.4286,27.6429,27.8571,28.0714,28.2857,28.5,28.7143,28.9286,29.1429,29.3571,29.5714,29.7857,30,30.2143,30.4286,30.6429,30.8571,31.0714,31.2857,31.5,31.7143,31.9286,32.1429,32.3571,32.5714,32.7857,33,33.2143,33.4286,33.6429,33.8571,34.0714,34.2857,34.5,34.7143,34.9286,35.1429,35.3571,35.5714,35.7857,36,36.2143,36.4286,36.6429,36.8571,37.0714,37.2857,37.5,37.7143,37.9286,38.1429,38.3571,38.5714,38.7857,39,39.2143,39.4286,39.6429,39.8571,40.0714,40.2857,40.5,40.7143,40.9286,41.1429,41.3571,41.5714,41.7857,42,42.2143,42.4286,42.6429,42.8571,43.0714,43.2857,43.5,43.7143,43.9286,44.1429,44.3571,44.5714,44.7857,45,45.2143,45.4286,45.6429,45.8571,46.0714,46.2857,46.5,46.7143,46.9286,47.1429,47.3571,47.5714,47.7857,48,48.2143,48.4286,48.6429,48.8571,49.0714,49.2857,49.5,49.7143,49.9286,50.1429,50.3571,50.5714,50.7857,51,51.2143,51.4286,51.6429,51.8571,52.0714,52.2857,52.5,52.7143,52.9286,53.1429,53.3571,53.5714,53.7857,54,54.2143,54.4286,54.6429,54.8571,55.0714,55.2857,55.5,55.7143,55.9286,56.1429,56.3571,56.5714,56.7857,57,57.2143,57.4286,57.6429,57.8571,58.0714,58.2857,58.5,58.7143,58.9286,59.1429,59.3571,59.5714,59.7857,60,60.2143,60.4286,60.6429,60.8571,61.0714,61.2857,61.5,61.7143,61.9286,62.1429,62.3571,62.5714,62.7857,63,63.2143,63.4286,63.6429,63.8571,64.0714,64.2857,64.5,64.7143,64.9286,65.1429,65.3571,65.5714,65.7857,66,66.2143,66.4286,66.6429,66.8571,67.0714,67.2857,67.5,67.7143,67.9286,68.1429,68.3571,68.5714,68.7857,69,69.2143,69.4286,69.6429,69.8571,70.0714,70.2857,70.5,70.7143,70.9286,71.1429,71.3571,71.5714,71.7857,72,72.2143,72.4286,72.6429,72.8571,73.0714,73.2857,73.5,73.7143,73.9286,74.1429,74.3571,74.5714,74.7857,75,75.2143,75.4286,75.6429,75.8571,76.0714,76.2857,76.5,76.7143,76.9286,77.1429,77.3571,77.5714,77.7857,78,78.2143,78.4286,78.6429,78.8571,79.0714,79.2857,79.5,79.7143,79.9286,80.1429,80.3571,80.5714,80.7857,81,81.2143,81.4286,81.6429,81.8571,82.0714,82.2857,82.5,82.7143,82.9286,83.1429,83.3571,83.5714,83.7857,84,84.2143,84.4286,84.6429,84.8571,85.0714,85.2857,85.5,85.7143,85.9286,86.1429,86.3571,86.5714,86.7857,87,87.2143,87.4286,87.6429,87.8571,88.0714,88.2857,88.5,88.7143,88.9286,89.1429,89.3571,89.5714,89.7857,90,90.2143,90.4286,90.6429,90.8571,91.0714,91.2857,91.5,91.7143,91.9286,92.1429,92.3571,92.5714,92.7857,93,93.2143,93.4286,93.6429,93.8571,94.0714,94.2857,94.5,94.7143,94.9286,95.1429,95.3571,95.5714,95.7857,96,96.2143,96.4286,96.6429,96.8571,97.0714,97.2857,97.5,97.7143,97.9286,98.1429,98.3571,98.5714,98.7857,99,99.2143,99.4286,99.6429,99.8571,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "Iris-virginica",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.1,80.4,80.7,81,81.3,81.6,81.9,82.2,82.5,82.8,83.1,83.4,83.7,84,84.3,84.6,84.9,85.2,85.5,85.8,86.1,86.4,86.7,87,87.3,87.6,87.9,88.2,88.5,88.8,89.1,89.4,89.7,90,90.3,90.6,90.9,91.2,91.5,91.8,92.1,92.4,92.7,93,93.3,93.6,93.9,94.2,94.5,94.8,95.1,95.4,95.7,96,96.3,96.6,96.9,97.2,97.5,97.8,98.1,98.4,98.7,99,99.3,99.6,99.9,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Univariate PetalWidth",
+						"values": [0,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.4,2.7,3,3.3,3.6,3.9,4.2,4.5,4.8,5.1,5.4,5.7,6,6.3,6.6,6.9,7.2,7.5,7.8,8.1,8.4,8.7,9,9.3,9.6,9.9,10.2,10.5,10.8,11.1,11.4,11.7,12,12.3,12.6,12.9,13.2,13.5,13.8,14.1,14.4,14.7,15,15.3,15.6,15.9,16.2,16.5,16.8,17.1,17.4,17.7,18,18.3,18.6,18.9,19.2,19.5,19.8,20.1,20.4,20.7,21,21.3,21.6,21.9,22.2,22.5,22.8,23.1,23.4,23.7,24,24.3,24.6,24.9,25.2,25.5,25.8,26.1,26.4,26.7,27,27.3,27.6,27.9,28.2,28.5,28.8,29.1,29.4,29.7,30,30.3,30.6,30.9,31.2,31.5,31.8,32.1,32.4,32.7,33,33.3,33.6,33.9,34.2,34.5,34.8,35.1,35.4,35.7,36,36.3,36.6,36.9,37.2,37.5,37.8,38.1,38.4,38.7,39,39.3,39.6,39.9,40.2,40.5,40.8,41.1,41.4,41.7,42,42.3,42.6,42.9,43.2,43.5,43.8,44.1,44.4,44.7,45,45.3,45.6,45.9,46.2,46.5,46.8,47.1,47.4,47.7,48,48.3,48.6,48.9,49.2,49.5,49.8,50.1,50.4,50.7,51,51.3,51.6,51.9,52.2,52.5,52.8,53.1,53.4,53.7,54,54.3,54.6,54.9,55.2,55.5,55.8,56.1,56.4,56.7,57,57.3,57.6,57.9,58.2,58.5,58.8,59.1,59.4,59.7,60,60.3,60.6,60.9,61.2,61.5,61.8,62.1,62.4,62.7,63,63.3,63.6,63.9,64.2,64.5,64.8,65.1,65.4,65.7,66,66.3,66.6,66.9,67.2,67.5,67.8,68.1,68.4,68.7,69,69.3,69.6,69.9,70.2,70.5,70.8,71.1,71.4,71.7,72,72.3,72.6,72.9,73.2,73.5,73.8,74.1,74.4,74.7,75,75.3,75.6,75.9,76.2,76.5,76.8,77.1,77.4,77.7,78,78.3,78.6,78.9,79.2,79.5,79.8,80.0143,80.0571,80.1,80.1429,80.1857,80.2286,80.2714,80.3143,80.3571,80.4,80.4429,80.4857,80.5286,80.5714,80.6143,80.6571,80.7,80.7429,80.7857,80.8286,80.8714,80.9143,80.9571,81,81.0429,81.0857,81.1286,81.1714,81.2143,81.2571,81.3,81.3429,81.3857,81.4286,81.4714,81.5143,81.5571,81.6,81.6429,81.6857,81.7286,81.7714,81.8143,81.8571,81.9,81.9429,81.9857,82.0286,82.0714,82.1143,82.1571,82.2,82.2429,82.2857,82.3286,82.3714,82.4143,82.4571,82.5,82.5429,82.5857,82.6286,82.6714,82.7143,82.7571,82.8,82.8429,82.8857,82.9286,82.9714,83.0143,83.0571,83.1,83.1429,83.1857,83.2286,83.2714,83.3143,83.3571,83.4,83.4429,83.4857,83.5286,83.5714,83.6143,83.6571,83.7,83.7429,83.7857,83.8286,83.8714,83.9143,83.9571,84,84.0429,84.0857,84.1286,84.1714,84.2143,84.2571,84.3,84.3429,84.3857,84.4286,84.4714,84.5143,84.5571,84.6,84.6429,84.6857,84.7286,84.7714,84.8143,84.8571,84.9,84.9429,84.9857,85.0286,85.0714,85.1143,85.1571,85.2,85.2429,85.2857,85.3286,85.3714,85.4143,85.4571,85.5,85.5429,85.5857,85.6286,85.6714,85.7143,85.7571,85.8,85.8429,85.8857,85.9286,85.9714,86.0143,86.0571,86.1,86.1429,86.1857,86.2286,86.2714,86.3143,86.3571,86.4,86.4429,86.4857,86.5286,86.5714,86.6143,86.6571,86.7,86.7429,86.7857,86.8286,86.8714,86.9143,86.9571,87,87.0429,87.0857,87.1286,87.1714,87.2143,87.2571,87.3,87.3429,87.3857,87.4286,87.4714,87.5143,87.5571,87.6,87.6429,87.6857,87.7286,87.7714,87.8143,87.8571,87.9,87.9429,87.9857,88.0286,88.0714,88.1143,88.1571,88.2,88.2429,88.2857,88.3286,88.3714,88.4143,88.4571,88.5,88.5429,88.5857,88.6286,88.6714,88.7143,88.7571,88.8,88.8429,88.8857,88.9286,88.9714,89.0143,89.0571,89.1,89.1429,89.1857,89.2286,89.2714,89.3143,89.3571,89.4,89.4429,89.4857,89.5286,89.5714,89.6143,89.6571,89.7,89.7429,89.7857,89.8286,89.8714,89.9143,89.9571,90,90.0429,90.0857,90.1286,90.1714,90.2143,90.2571,90.3,90.3429,90.3857,90.4286,90.4714,90.5143,90.5571,90.6,90.6429,90.6857,90.7286,90.7714,90.8143,90.8571,90.9,90.9429,90.9857,91.0286,91.0714,91.1143,91.1571,91.2,91.2429,91.2857,91.3286,91.3714,91.4143,91.4571,91.5,91.5429,91.5857,91.6286,91.6714,91.7143,91.7571,91.8,91.8429,91.8857,91.9286,91.9714,92.0143,92.0571,92.1,92.1429,92.1857,92.2286,92.2714,92.3143,92.3571,92.4,92.4429,92.4857,92.5286,92.5714,92.6143,92.6571,92.7,92.7429,92.7857,92.8286,92.8714,92.9143,92.9571,93,93.0429,93.0857,93.1286,93.1714,93.2143,93.2571,93.3,93.3429,93.3857,93.4286,93.4714,93.5143,93.5571,93.6,93.6429,93.6857,93.7286,93.7714,93.8143,93.8571,93.9,93.9429,93.9857,94.0286,94.0714,94.1143,94.1571,94.2,94.2429,94.2857,94.3286,94.3714,94.4143,94.4571,94.5,94.5429,94.5857,94.6286,94.6714,94.7143,94.7571,94.8,94.8429,94.8857,94.9286,94.9714,95.0143,95.0571,95.1,95.1429,95.1857,95.2286,95.2714,95.3143,95.3571,95.4,95.4429,95.4857,95.5286,95.5714,95.6143,95.6571,95.7,95.7429,95.7857,95.8286,95.8714,95.9143,95.9571,96,96.0429,96.0857,96.1286,96.1714,96.2143,96.2571,96.3,96.3429,96.3857,96.4286,96.4714,96.5143,96.5571,96.6,96.6429,96.6857,96.7286,96.7714,96.8143,96.8571,96.9,96.9429,96.9857,97.0286,97.0714,97.1143,97.1571,97.2,97.2429,97.2857,97.3286,97.3714,97.4143,97.4571,97.5,97.5429,97.5857,97.6286,97.6714,97.7143,97.7571,97.8,97.8429,97.8857,97.9286,97.9714,98.0143,98.0571,98.1,98.1429,98.1857,98.2286,98.2714,98.3143,98.3571,98.4,98.4429,98.4857,98.5286,98.5714,98.6143,98.6571,98.7,98.7429,98.7857,98.8286,98.8714,98.9143,98.9571,99,99.0429,99.0857,99.1286,99.1714,99.2143,99.2571,99.3,99.3429,99.3857,99.4286,99.4714,99.5143,99.5571,99.6,99.6429,99.6857,99.7286,99.7714,99.8143,99.8571,99.9,99.9429,99.9857,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [38,32,35]
+			},
+			"evaluatedVariables": 11,
+			"nativeVariables": 4,
+			"constructedVariables": 7,
+			"informativeVariables": 9,
+			"selectedVariables": 4,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.631926,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 31.1301,
+				"dataCost": 9.79546
+			},
+			{
+				"rank": "R02",
+				"name": "PetalLength",
+				"type": "Numerical",
+				"level": 0.590513,
+				"targetParts": 3,
+				"parts": 4,
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 34.6126,
+				"dataCost": 11.2655
+			},
+			{
+				"rank": "R03",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"level": 0.587712,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 31.2788,
+				"dataCost": 14.9342,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R04",
+				"name": "LowerPetalLength",
+				"type": "Numerical",
+				"level": 0.48393,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 10,
+				"min": 1,
+				"max": 3,
+				"mean": 2.446666667,
+				"stdDev": 0.7433600251,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 14.5812,
+				"dataCost": 44.0428,
+				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
+			},
+			{
+				"rank": "R05",
+				"name": "Class1",
+				"type": "Categorical",
+				"level": 0.4499,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 67,
+				"missingNumber": 67,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 18.6507,
+				"dataCost": 44.0428,
+				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
+			},
+			{
+				"rank": "R06",
+				"name": "Class2",
+				"type": "Categorical",
+				"level": 0.415416,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 73,
+				"missingNumber": 73,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 18.6528,
+				"dataCost": 48.1645,
+				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
+			},
+			{
+				"rank": "R07",
+				"name": "UpperPetalWidth",
+				"type": "Numerical",
+				"level": 0.327221,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 11,
+				"min": 1.5,
+				"max": 2.5,
+				"mean": 1.692380952,
+				"stdDev": 0.2962287527,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 20.1069,
+				"dataCost": 57.2573,
+				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
+			},
+			{
+				"rank": "R08",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.30075,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 28.9767,
+				"dataCost": 51.5531
+			},
+			{
+				"rank": "R09",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.0927267,
+				"targetParts": 2,
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 20.767,
+				"dataCost": 84.6396
+			},
+			{
+				"rank": "R10",
+				"name": "Dummy1",
+				"type": "Numerical",
+				"level": 0,
+				"targetParts": 1,
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R11",
+				"name": "Dummy2",
+				"type": "Numerical",
+				"level": 0,
+				"targetParts": 1,
+				"parts": 1,
+				"values": 105,
+				"min": 0.005121241265,
+				"max": 0.9859650261,
+				"mean": 0.5173966838,
+				"stdDev": 0.2650019122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 110.25,
+				"derivationRule": "Random()"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,2,31],
+						[0,33,1]
+					],
+					"partInterests": [0.374826,0.305582,0.319592]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.15],
+								[3.15,4.75],
+								[4.75,5.15],
+								[5.15,6.9]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,1],
+						[0,0,26],
+						[0,9,5],
+						[0,26,0]
+					],
+					"partInterests": [0.347012,0.304909,0.066166,0.281913]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,32,2],
+						[0,3,30]
+					],
+					"partInterests": [0.39638,0.307127,0.296494]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-virginica","Iris-versicolor"],
+								["Iris-setosa"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"partTargetFrequencies": [
+						[0,38],
+						[67,0]
+					],
+					"partInterests": [0.561997,0.438003]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-virginica","Iris-versicolor"],
+								["Iris-setosa"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"partTargetFrequencies": [
+						[67,0],
+						[0,38]
+					],
+					"partInterests": [0.438003,0.561997]
+				},
+				"inputValues": {
+					"values": ["","setosa"],
+					"frequencies": [67,38]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa","Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"partTargetFrequencies": [
+						[73,0],
+						[0,32]
+					],
+					"partInterests": [0.41103,0.58897]
+				},
+				"inputValues": {
+					"values": ["","versicolor"],
+					"frequencies": [73,32]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa","Iris-versicolor"],
+								["Iris-virginica"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"partTargetFrequencies": [
+						[69,2],
+						[1,33]
+					],
+					"partInterests": [0.395846,0.604154]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"partTargetFrequencies": [
+						[34,0,5],
+						[4,5,19],
+						[0,30,8]
+					],
+					"partInterests": [0.449729,0.147253,0.403018]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-virginica","Iris-versicolor"],
+								["Iris-setosa"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"partTargetFrequencies": [
+						[30,0],
+						[32,17],
+						[5,21]
+					],
+					"partInterests": [0.553199,0.000981364,0.445819]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisR.khj b/tests/resources/analysis_results/ref_json_reports/IrisR.khj
index 48c67416..05abc8ac 100644
--- a/tests/resources/analysis_results/ref_json_reports/IrisR.khj
+++ b/tests/resources/analysis_results/ref_json_reports/IrisR.khj
@@ -1,808 +1,867 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Regression analysis",
-			"targetVariable": "PetalLength"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Regressor",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"variables": 5
-			},
-			{
-				"rank": "R2",
-				"type": "Regressor",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"variables": 1
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"selectedVariables": [
-					{
-						"preparedName": "PSPetalLength",
-						"name": "SPetalLength",
-						"level": 0.203117,
-						"weight": 0.476562,
-						"importance": 0.311123
-					},
-					{
-						"preparedName": "PLowerPetalLength",
-						"name": "LowerPetalLength",
-						"level": 0.139383,
-						"weight": 0.414062,
-						"importance": 0.240236
-					},
-					{
-						"preparedName": "PPetalWidth",
-						"name": "PetalWidth",
-						"level": 0.151716,
-						"weight": 0.164062,
-						"importance": 0.157768
-					},
-					{
-						"preparedName": "PSepalLength",
-						"name": "SepalLength",
-						"level": 0.0897429,
-						"weight": 0.257812,
-						"importance": 0.152108
-					},
-					{
-						"preparedName": "PClass2",
-						"name": "Class2",
-						"level": 0.0871851,
-						"weight": 0.148438,
-						"importance": 0.113761
-					}
-				]
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Regression analysis",
-			"targetVariable": "PetalLength"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Regressor",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"rmse": 0.240652,
-				"mae": 0.195078,
-				"nlpd": -0.413359,
-				"rankRmse": 0.0618349,
-				"rankMae": 0.0512148,
-				"rankNlpd": -1.66494
-			},
-			{
-				"rank": "R2",
-				"type": "Regressor",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"rmse": 0.278657,
-				"mae": 0.226246,
-				"nlpd": -0.154735,
-				"rankRmse": 0.0800942,
-				"rankMae": 0.0670138,
-				"rankNlpd": -1.40631
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R2": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4"],
-								["1"],
-								["5"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3.95],
-								[3.95,4.95],
-								[4.95,5.95],
-								[5.95,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,32,0,0],
-						[31,0,0,0,0],
-						[0,0,0,24,0],
-						[0,6,0,0,0],
-						[0,0,0,0,6]
-					],
-					"partInterests": [0.258541,0.257503,0.243299,0.120329,0.120329]
-				}
-			}
-		},
-		"recCurves": [
-			{
-				"regressor": "Selective Naive Bayes",
-				"values": [0,0,2.0202,2.0202,4.0404,4.0404,4.0404,4.0404,5.05051,5.05051,5.05051,7.07071,7.07071,8.08081,8.08081,8.08081,11.1111,12.1212,12.1212,13.1313,15.1515,15.1515,15.1515,15.1515,16.1616,18.1818,19.1919,31.3131,32.3232,32.3232,40.404,40.404,42.4242,42.4242,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,45.4545,45.4545,45.4545,48.4848,53.5354,53.5354,53.5354,55.5556,56.5657,58.5859,58.5859,62.6263,62.6263,62.6263,62.6263,63.6364,67.6768,67.6768,67.6768,72.7273,72.7273,72.7273,72.7273,72.7273,72.7273,72.7273,72.7273,73.7374,73.7374,73.7374,73.7374,75.7576,75.7576,77.7778,78.7879,78.7879,78.7879,78.7879,78.7879,78.7879,78.7879,84.8485,84.8485,84.8485,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,85.8586,86.8687,89.899,89.899,90.9091,91.9192,91.9192,91.9192,92.9293,92.9293,92.9293,93.9394,93.9394,93.9394,93.9394,93.9394,93.9394,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,94.9495,97.9798,97.9798,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-			},
-			{
-				"regressor": "Univariate SPetalLength",
-				"values": [0,1.0101,1.0101,4.0404,4.0404,4.0404,4.0404,4.0404,4.0404,4.0404,4.0404,4.0404,4.0404,6.06061,6.06061,8.08081,15.1515,15.1515,18.1818,20.202,20.202,20.202,20.202,20.202,20.202,20.202,23.2323,23.2323,24.2424,24.2424,24.2424,25.2525,25.2525,27.2727,27.2727,27.2727,27.2727,27.2727,27.2727,27.2727,27.2727,27.2727,27.2727,36.3636,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,48.4848,48.4848,48.4848,48.4848,48.4848,48.4848,48.4848,51.5152,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,57.5758,60.6061,60.6061,60.6061,60.6061,60.6061,64.6465,64.6465,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,69.697,69.697,69.697,69.697,69.697,74.7475,74.7475,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,79.798,79.798,84.8485,84.8485,84.8485,84.8485,84.8485,85.8586,85.8586,85.8586,85.8586,85.8586,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,87.8788,95.9596,95.9596,96.9697,98.9899,98.9899,98.9899,98.9899,98.9899,98.9899,98.9899,98.9899,98.9899,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 51,
-			"learningTask": "Regression analysis",
-			"targetVariable": "PetalLength"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Regressor",
-				"family": "Selective Naive Bayes",
-				"name": "Selective Naive Bayes",
-				"rmse": 0.20115,
-				"mae": 0.157079,
-				"nlpd": -0.329867,
-				"rankRmse": 0.0519631,
-				"rankMae": 0.0438059,
-				"rankNlpd": -1.81277
-			},
-			{
-				"rank": "R2",
-				"type": "Regressor",
-				"family": "Univariate",
-				"name": "Univariate SPetalLength",
-				"rmse": 0.257277,
-				"mae": 0.20697,
-				"nlpd": -0.0424382,
-				"rankRmse": 0.0761558,
-				"rankMae": 0.0617964,
-				"rankNlpd": -1.52535
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R2": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4"],
-								["1"],
-								["5"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3.95],
-								[3.95,4.95],
-								[4.95,5.95],
-								[5.95,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,11,0,0],
-						[19,0,0,0,0],
-						[0,0,0,11,0],
-						[0,5,0,0,0],
-						[0,0,0,0,5]
-					],
-					"partInterests": [0.222806,0.247724,0.222806,0.153332,0.153332]
-				}
-			}
-		},
-		"recCurves": [
-			{
-				"regressor": "Selective Naive Bayes",
-				"values": [0,0,0,0,0,0,0,3.92157,3.92157,3.92157,3.92157,3.92157,3.92157,7.84314,7.84314,7.84314,9.80392,11.7647,11.7647,19.6078,19.6078,19.6078,19.6078,19.6078,21.5686,23.5294,25.4902,39.2157,39.2157,39.2157,50.9804,50.9804,52.9412,52.9412,54.902,54.902,54.902,54.902,54.902,54.902,54.902,56.8627,56.8627,56.8627,58.8235,62.7451,62.7451,62.7451,64.7059,64.7059,64.7059,64.7059,70.5882,70.5882,70.5882,70.5882,70.5882,74.5098,74.5098,74.5098,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,82.3529,84.3137,84.3137,86.2745,86.2745,86.2745,86.2745,90.1961,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,94.1176,94.1176,96.0784,96.0784,96.0784,98.0392,98.0392,98.0392,98.0392,98.0392,98.0392,98.0392,98.0392,98.0392,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-			},
-			{
-				"regressor": "Univariate SPetalLength",
-				"values": [0,7.84314,7.84314,9.80392,9.80392,9.80392,9.80392,9.80392,9.80392,9.80392,9.80392,9.80392,9.80392,15.6863,15.6863,15.6863,23.5294,23.5294,27.451,27.451,27.451,27.451,27.451,27.451,27.451,27.451,29.4118,29.4118,29.4118,29.4118,29.4118,29.4118,29.4118,31.3725,31.3725,31.3725,31.3725,31.3725,31.3725,31.3725,31.3725,31.3725,31.3725,37.2549,49.0196,49.0196,49.0196,49.0196,49.0196,49.0196,49.0196,50.9804,50.9804,50.9804,50.9804,50.9804,50.9804,50.9804,56.8627,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,60.7843,62.7451,62.7451,62.7451,62.7451,62.7451,64.7059,64.7059,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,74.5098,74.5098,74.5098,74.5098,74.5098,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,78.4314,82.3529,82.3529,86.2745,86.2745,86.2745,86.2745,86.2745,88.2353,88.2353,88.2353,88.2353,88.2353,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,92.1569,96.0784,96.0784,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Regression analysis",
-			"targetVariable": "PetalLength",
-			"targetDescriptiveStats": {
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.801010101,
-				"stdDev": 1.712137004,
-				"missingNumber": 0
-			},
-			"evaluatedVariables": 11,
-			"nativeVariables": 4,
-			"constructedVariables": 7,
-			"informativeVariables": 9,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 359.134
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"level": 0.203117,
-				"targetParts": 5,
-				"parts": 5,
-				"values": 5,
-				"mode": "4",
-				"modeFrequency": 32,
-				"constructionCost": 3.09104,
-				"preparationCost": 56.056,
-				"dataCost": 227.593,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R02",
-				"name": "Class",
-				"type": "Categorical",
-				"level": 0.180945,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37,
-				"constructionCost": 3.09104,
-				"preparationCost": 27.4153,
-				"dataCost": 264.212
-			},
-			{
-				"rank": "R03",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"level": 0.151716,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 20,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.218181818,
-				"stdDev": 0.749863777,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 33.7898,
-				"dataCost": 268.355
-			},
-			{
-				"rank": "R04",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"level": 0.139383,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 9,
-				"min": 1,
-				"max": 3,
-				"mean": 2.517171717,
-				"stdDev": 0.7226550938,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 26.055,
-				"dataCost": 280.528,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R05",
-				"name": "Class1",
-				"type": "Categorical",
-				"level": 0.120688,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 68,
-				"constructionCost": 3.09104,
-				"preparationCost": 13.2609,
-				"dataCost": 300.049,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R06",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"level": 0.0897429,
-				"targetParts": 3,
-				"parts": 3,
-				"values": 30,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.848484848,
-				"stdDev": 0.8065844732,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 24.3655,
-				"dataCost": 300.079
-			},
-			{
-				"rank": "R07",
-				"name": "Class2",
-				"type": "Categorical",
-				"level": 0.0871851,
-				"targetParts": 3,
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 62,
-				"constructionCost": 3.09104,
-				"preparationCost": 20.4711,
-				"dataCost": 304.894,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R08",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"level": 0.0792322,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.681818182,
-				"stdDev": 0.2962266524,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 9.22257,
-				"dataCost": 319.004,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			},
-			{
-				"rank": "R09",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"level": 0.0235955,
-				"targetParts": 2,
-				"parts": 2,
-				"values": 22,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.042424242,
-				"stdDev": 0.4422374035,
-				"missingNumber": 0,
-				"constructionCost": 3.09104,
-				"preparationCost": 11.3418,
-				"dataCost": 336.904
-			},
-			{
-				"rank": "R10",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"level": 0,
-				"targetParts": 1,
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 359.134,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R11",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"level": 0,
-				"targetParts": 1,
-				"parts": 1,
-				"values": 99,
-				"min": 0.01372010867,
-				"max": 0.9853969761,
-				"mean": 0.5371015665,
-				"stdDev": 0.2836682962,
-				"missingNumber": 0,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 359.134,
-				"derivationRule": "Random()"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4"],
-								["1"],
-								["5"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3.95],
-								[3.95,4.95],
-								[4.95,5.95],
-								[5.95,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,32,0,0],
-						[31,0,0,0,0],
-						[0,0,0,24,0],
-						[0,6,0,0,0],
-						[0,0,0,0,6]
-					],
-					"partInterests": [0.258541,0.257503,0.243299,0.120329,0.120329]
-				},
-				"inputValues": {
-					"values": ["4","1","5","3","6"],
-					"frequencies": [32,31,24,6,6]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,34,3],
-						[31,0,0],
-						[0,0,31]
-					],
-					"partInterests": [0.296484,0.366329,0.337186]
-				},
-				"inputValues": {
-					"values": ["Iris-versicolor","Iris-setosa","Iris-virginica"],
-					"frequencies": [37,31,31]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.65],
-								[1.65,2.5]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.75],
-								[4.75,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,0],
-						[0,32,5],
-						[0,0,31]
-					],
-					"partInterests": [0.383335,0.282696,0.333969]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[16,0,0],
-						[0,15,0],
-						[0,0,68]
-					],
-					"partInterests": [0.351297,0.341003,0.3077]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,68],
-						[31,0]
-					],
-					"partInterests": [0.415063,0.584937]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [68,31]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.15],
-								[5.15,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,3.65],
-								[3.65,4.55],
-								[4.55,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[23,0,0],
-						[11,12,1],
-						[0,11,41]
-					],
-					"partInterests": [0.416542,0.170331,0.413128]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[31,0,31],
-						[0,34,3]
-					],
-					"partInterests": [0.473042,0.526958]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [62,37]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,4.75],
-								[4.75,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[61,5],
-						[2,31]
-					],
-					"partInterests": [0.376437,0.623563]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"partTargetFrequencies": [
-						[11,65],
-						[20,3]
-					],
-					"partInterests": [0.271773,0.728227]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"variables": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 5
+			},
+			{
+				"rank": "R3",
+				"type": "Regressor",
+				"family": "Univariate",
+				"name": "Univariate SPetalLength",
+				"variables": 1
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R2": {
+				"selectedVariables": [
+					{
+						"preparedName": "PSPetalLength",
+						"name": "SPetalLength",
+						"level": 0.212092,
+						"weight": 0.609375,
+						"importance": 0.359504
+					},
+					{
+						"preparedName": "PLowerPetalLength",
+						"name": "LowerPetalLength",
+						"level": 0.157721,
+						"weight": 0.546875,
+						"importance": 0.29369
+					},
+					{
+						"preparedName": "PUpperPetalWidth",
+						"name": "UpperPetalWidth",
+						"level": 0.0912549,
+						"weight": 0.359375,
+						"importance": 0.181093
+					},
+					{
+						"preparedName": "PSepalLength",
+						"name": "SepalLength",
+						"level": 0.0903617,
+						"weight": 0.234375,
+						"importance": 0.145528
+					},
+					{
+						"preparedName": "PClass2",
+						"name": "Class2",
+						"level": 0.0691819,
+						"weight": 0.203125,
+						"importance": 0.118544
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.80142,
+				"mae": 1.62949,
+				"nlpd": 1.22759,
+				"rankRmse": 0.28832,
+				"rankMae": 0.249977,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"rmse": 0.243151,
+				"mae": 0.195453,
+				"nlpd": -0.489492,
+				"rankRmse": 0.0554527,
+				"rankMae": 0.0469378,
+				"rankNlpd": -1.71708
+			},
+			{
+				"rank": "R3",
+				"type": "Regressor",
+				"family": "Univariate",
+				"name": "Univariate SPetalLength",
+				"rmse": 0.274444,
+				"mae": 0.222518,
+				"nlpd": -0.202594,
+				"rankRmse": 0.0797015,
+				"rankMae": 0.0649407,
+				"rankNlpd": -1.43019
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R3": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3.95],
+								[3.95,4.95],
+								[4.95,5.95],
+								[5.95,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0,0,0],
+						[0,0,0,27,0],
+						[0,0,25,0,0],
+						[0,8,0,0,0],
+						[0,0,0,0,7]
+					],
+					"partInterests": [0.256249,0.243293,0.238036,0.136651,0.125771]
+				}
+			}
+		},
+		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,18.0952,18.0952,18.0952,18.0952,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,86.6667,86.6667,86.6667,86.6667,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,97.1429,97.1429,97.1429,97.1429,97.1429,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Selective Naive Bayes",
+				"values": [0,2.85714,2.85714,2.85714,2.85714,2.85714,2.85714,3.80952,5.71429,5.71429,5.71429,8.57143,8.57143,10.4762,12.381,12.381,12.381,12.381,12.381,16.1905,18.0952,22.8571,24.7619,26.6667,26.6667,28.5714,29.5238,29.5238,30.4762,30.4762,35.2381,35.2381,36.1905,44.7619,45.7143,45.7143,45.7143,45.7143,45.7143,47.619,47.619,47.619,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,52.381,52.381,52.381,61.9048,61.9048,67.619,67.619,67.619,68.5714,70.4762,72.381,72.381,72.381,74.2857,74.2857,78.0952,78.0952,78.0952,78.0952,78.0952,78.0952,78.0952,78.0952,79.0476,80,80.9524,81.9048,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,88.5714,88.5714,88.5714,88.5714,88.5714,89.5238,89.5238,89.5238,89.5238,90.4762,92.381,92.381,92.381,92.381,92.381,92.381,92.381,92.381,92.381,92.381,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,96.1905,97.1429,97.1429,97.1429,97.1429,97.1429,98.0952,98.0952,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Univariate SPetalLength",
+				"values": [0,4.7619,4.7619,4.7619,5.71429,8.57143,8.57143,8.57143,8.57143,8.57143,8.57143,8.57143,13.3333,15.2381,15.2381,15.2381,15.2381,15.2381,15.2381,15.2381,17.1429,17.1429,17.1429,20,20.9524,20.9524,21.9048,32.381,32.381,32.381,32.381,32.381,32.381,32.381,35.2381,36.1905,36.1905,36.1905,36.1905,36.1905,36.1905,36.1905,38.0952,38.0952,41.9048,41.9048,41.9048,41.9048,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,48.5714,48.5714,48.5714,48.5714,48.5714,48.5714,48.5714,48.5714,48.5714,57.1429,57.1429,57.1429,60,60,60,60,60,60,60,60,64.7619,64.7619,67.619,67.619,67.619,67.619,67.619,67.619,67.619,67.619,67.619,67.619,67.619,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,68.5714,73.3333,77.1429,77.1429,79.0476,79.0476,79.0476,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,84.7619,84.7619,84.7619,84.7619,84.7619,84.7619,84.7619,84.7619,86.6667,86.6667,86.6667,86.6667,86.6667,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,94.2857,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,97.1429,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 45,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.65697,
+				"mae": 1.44682,
+				"nlpd": 1.45393,
+				"rankRmse": 0.26541,
+				"rankMae": 0.212804,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"rmse": 0.217307,
+				"mae": 0.172572,
+				"nlpd": -0.28118,
+				"rankRmse": 0.0502049,
+				"rankMae": 0.0408131,
+				"rankNlpd": -1.73511
+			},
+			{
+				"rank": "R3",
+				"type": "Regressor",
+				"family": "Univariate",
+				"name": "Univariate SPetalLength",
+				"rmse": 0.244656,
+				"mae": 0.199712,
+				"nlpd": -0.0394947,
+				"rankRmse": 0.0668878,
+				"rankMae": 0.0538632,
+				"rankNlpd": -1.49342
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R3": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3.95],
+								[3.95,4.95],
+								[4.95,5.95],
+								[5.95,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[12,0,0,0,0],
+						[0,0,0,8,0],
+						[0,0,18,0,0],
+						[0,3,0,0,0],
+						[0,0,0,0,4]
+					],
+					"partInterests": [0.247916,0.215978,0.257797,0.126984,0.151326]
+				}
+			}
+		},
+		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,35.5556,35.5556,35.5556,35.5556,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,40,40,40,40,40,40,40,40,40,40,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,86.6667,86.6667,86.6667,86.6667,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Selective Naive Bayes",
+				"values": [0,4.44444,4.44444,4.44444,4.44444,4.44444,4.44444,6.66667,6.66667,6.66667,8.88889,8.88889,8.88889,11.1111,11.1111,22.2222,22.2222,22.2222,22.2222,26.6667,28.8889,33.3333,33.3333,35.5556,35.5556,37.7778,40,40,42.2222,42.2222,48.8889,48.8889,48.8889,55.5556,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,57.7778,66.6667,66.6667,66.6667,75.5556,75.5556,75.5556,75.5556,75.5556,77.7778,77.7778,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,86.6667,88.8889,88.8889,88.8889,88.8889,88.8889,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,95.5556,95.5556,95.5556,95.5556,95.5556,95.5556,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Univariate SPetalLength",
+				"values": [0,13.3333,13.3333,13.3333,15.5556,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,22.2222,22.2222,22.2222,24.4444,26.6667,26.6667,28.8889,40,40,40,40,40,40,40,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,44.4444,46.6667,46.6667,46.6667,46.6667,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,55.5556,55.5556,55.5556,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,71.1111,71.1111,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,73.3333,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,82.2222,84.4444,84.4444,86.6667,86.6667,86.6667,91.1111,91.1111,91.1111,91.1111,91.1111,91.1111,91.1111,91.1111,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength",
+			"targetDescriptiveStats": {
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"evaluatedVariables": 11,
+			"nativeVariables": 4,
+			"constructedVariables": 7,
+			"informativeVariables": 9,
+			"selectedVariables": 5,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 386.913
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"level": 0.212092,
+				"targetParts": 5,
+				"parts": 5,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 57.6475,
+				"dataCost": 244.659,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R02",
+				"name": "Class",
+				"type": "Categorical",
+				"level": 0.174746,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 27.7604,
+				"dataCost": 289.022
+			},
+			{
+				"rank": "R03",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.16061,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 27.7841,
+				"dataCost": 294.477
+			},
+			{
+				"rank": "R04",
+				"name": "LowerPetalLength",
+				"type": "Numerical",
+				"level": 0.157721,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 10,
+				"min": 1,
+				"max": 3,
+				"mean": 2.446666667,
+				"stdDev": 0.7433600251,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 26.759,
+				"dataCost": 296.622,
+				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
+			},
+			{
+				"rank": "R05",
+				"name": "Class1",
+				"type": "Categorical",
+				"level": 0.129937,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 67,
+				"missingNumber": 67,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 13.4451,
+				"dataCost": 320.705,
+				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
+			},
+			{
+				"rank": "R06",
+				"name": "UpperPetalWidth",
+				"type": "Numerical",
+				"level": 0.0912549,
+				"targetParts": 2,
+				"parts": 2,
+				"values": 11,
+				"min": 1.5,
+				"max": 2.5,
+				"mean": 1.692380952,
+				"stdDev": 0.2962287527,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 9.37559,
+				"dataCost": 339.768,
+				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
+			},
+			{
+				"rank": "R07",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.0903617,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 27.7674,
+				"dataCost": 321.722
+			},
+			{
+				"rank": "R08",
+				"name": "Class2",
+				"type": "Categorical",
+				"level": 0.0691819,
+				"targetParts": 3,
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 73,
+				"missingNumber": 73,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 20.5133,
+				"dataCost": 337.186,
+				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
+			},
+			{
+				"rank": "R09",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.01974,
+				"targetParts": 2,
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.09104,
+				"preparationCost": 15.5614,
+				"dataCost": 361.302
+			},
+			{
+				"rank": "R10",
+				"name": "Dummy1",
+				"type": "Numerical",
+				"level": 0,
+				"targetParts": 1,
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 386.913,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R11",
+				"name": "Dummy2",
+				"type": "Numerical",
+				"level": 0,
+				"targetParts": 1,
+				"parts": 1,
+				"values": 105,
+				"min": 0.005121241265,
+				"max": 0.9859650261,
+				"mean": 0.5173966838,
+				"stdDev": 0.2650019122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 386.913,
+				"derivationRule": "Random()"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3.95],
+								[3.95,4.95],
+								[4.95,5.95],
+								[5.95,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0,0,0],
+						[0,0,0,27,0],
+						[0,0,25,0,0],
+						[0,8,0,0,0],
+						[0,0,0,0,7]
+					],
+					"partInterests": [0.256249,0.243293,0.238036,0.136651,0.125771]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,1,34],
+						[0,29,3]
+					],
+					"partInterests": [0.385065,0.320788,0.294147]
+				},
+				"inputValues": {
+					"values": ["Iris-setosa","Iris-virginica","Iris-versicolor"],
+					"frequencies": [38,35,32]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.75],
+								[4.75,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,25,4],
+						[0,2,36]
+					],
+					"partInterests": [0.409025,0.277246,0.313729]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,1.45],
+								[1.45,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,1.45],
+								[1.45,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[17,0,0],
+						[0,21,0],
+						[0,0,67]
+					],
+					"partInterests": [0.326327,0.356326,0.317347]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,67],
+						[38,0]
+					],
+					"partInterests": [0.438003,0.561997]
+				},
+				"inputValues": {
+					"values": ["","setosa"],
+					"frequencies": [67,38]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[63,4],
+						[2,36]
+					],
+					"partInterests": [0.404409,0.595591]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.55],
+								[3.55,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[37,2,0],
+						[5,18,5],
+						[0,6,32]
+					],
+					"partInterests": [0.452028,0.152867,0.395105]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,1,34],
+						[0,29,3]
+					],
+					"partInterests": [0.407122,0.592878]
+				},
+				"inputValues": {
+					"values": ["","versicolor"],
+					"frequencies": [73,32]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,30],
+						[17,32],
+						[21,5]
+					],
+					"partInterests": [0.553199,0.000981364,0.445819]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisU.khj b/tests/resources/analysis_results/ref_json_reports/IrisU.khj
index e53a7759..9788d606 100644
--- a/tests/resources/analysis_results/ref_json_reports/IrisU.khj
+++ b/tests/resources/analysis_results/ref_json_reports/IrisU.khj
@@ -1,2527 +1,228 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Unsupervised analysis",
-			"evaluatedVariables": 12,
-			"nativeVariables": 5,
-			"constructedVariables": 7,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 100
-			},
-			"discretization": "EqualWidth",
-			"valueGrouping": "BasicGrouping"
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "Class",
-				"type": "Categorical",
-				"values": 3,
-				"mode": "Iris-versicolor",
-				"modeFrequency": 37,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R02",
-				"name": "Class1",
-				"type": "Categorical",
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 68,
-				"constructionCost": 3.17805,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R03",
-				"name": "Class2",
-				"type": "Categorical",
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 62,
-				"constructionCost": 3.17805,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R04",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R05",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"values": 99,
-				"min": 0.01372010867,
-				"max": 0.9853969761,
-				"mean": 0.5371015665,
-				"stdDev": 0.2836682962,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "Random()"
-			},
-			{
-				"rank": "R06",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"values": 9,
-				"min": 1,
-				"max": 3,
-				"mean": 2.517171717,
-				"stdDev": 0.7226550938,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R07",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.801010101,
-				"stdDev": 1.712137004,
-				"missingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R08",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"values": 20,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.218181818,
-				"stdDev": 0.749863777,
-				"missingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R09",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"values": 5,
-				"mode": "4",
-				"modeFrequency": 32,
-				"constructionCost": 3.17805,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R10",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"values": 30,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.848484848,
-				"stdDev": 0.8065844732,
-				"missingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R11",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"values": 22,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.042424242,
-				"stdDev": 0.4422374035,
-				"missingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R12",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.681818182,
-				"stdDev": 0.2962266524,
-				"missingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"frequencies": [37,31,31]
-				},
-				"inputValues": {
-					"values": ["Iris-versicolor","Iris-setosa","Iris-virginica"],
-					"frequencies": [37,31,31]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"frequencies": [68,31]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [68,31]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"frequencies": [62,37]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [62,37]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Dummy2",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.01372010867,0.118],
-								[0.118,0.207],
-								[0.207,0.298],
-								[0.298,0.408],
-								[0.408,0.504],
-								[0.504,0.593],
-								[0.593,0.6929],
-								[0.6929,0.793],
-								[0.793,0.8874],
-								[0.8874,0.9853969761]
-							]
-						}
-					],
-					"frequencies": [12,5,8,9,10,6,13,13,11,12]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.2],
-								[1.2,1.45],
-								[1.45,1.65],
-								[1.65,1.8],
-								[1.8,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"frequencies": [2,14,11,2,2,68]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.55],
-								[1.55,2.4],
-								[2.4,3.25],
-								[3.25,3.95],
-								[3.95,4.55],
-								[4.55,5.15],
-								[5.15,5.75],
-								[5.75,6.4],
-								[6.4,6.9]
-							]
-						}
-					],
-					"frequencies": [24,7,1,5,20,21,12,6,3]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.35],
-								[0.35,0.7],
-								[0.7,1.05],
-								[1.05,1.35],
-								[1.35,1.55],
-								[1.55,1.75],
-								[1.75,2.05],
-								[2.05,2.25],
-								[2.25,2.5]
-							]
-						}
-					],
-					"frequencies": [26,5,4,16,15,3,14,6,10]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4"],
-								["1"],
-								["5"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						}
-					],
-					"frequencies": [32,31,24,6,6]
-				},
-				"inputValues": {
-					"values": ["4","1","5","3","6"],
-					"frequencies": [32,31,24,6,6]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,4.65],
-								[4.65,4.95],
-								[4.95,5.3],
-								[5.3,5.65],
-								[5.65,6.05],
-								[6.05,6.35],
-								[6.35,6.65],
-								[6.65,7.05],
-								[7.05,7.45],
-								[7.45,7.7]
-							]
-						}
-					],
-					"frequencies": [8,7,12,13,17,14,10,12,2,4]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.25],
-								[2.25,2.45],
-								[2.45,2.75],
-								[2.75,2.95],
-								[2.95,3.25],
-								[3.25,3.45],
-								[3.45,3.65],
-								[3.65,4],
-								[4,4.15],
-								[4.15,4.4]
-							]
-						}
-					],
-					"frequencies": [4,3,15,17,33,12,6,6,1,2]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.65],
-								[1.65,1.75],
-								[1.75,1.85],
-								[1.85,1.95],
-								[1.95,2.05],
-								[2.05,2.15],
-								[2.15,2.25],
-								[2.25,2.35],
-								[2.35,2.45],
-								[2.45,2.5]
-							]
-						}
-					],
-					"frequencies": [68,1,7,4,3,4,2,6,2,2]
-				}
-			}
-		}
-	},
-	"bivariatePreparationReport": {
-		"reportType": "BivariatePreparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 99,
-			"learningTask": "Unsupervised analysis",
-			"evaluatedVariablePairs": 55,
-			"informativeVariablePairs": 39
-		},
-		"variablesPairsStatistics": [
-			{
-				"rank": "R01",
-				"name1": "Class",
-				"name2": "Class2",
-				"level": 0.284761,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.6815,
-				"dataCost": 103.619
-			},
-			{
-				"rank": "R02",
-				"name1": "Class",
-				"name2": "SPetalLength",
-				"level": 0.270098,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 41.3295,
-				"dataCost": 141.497
-			},
-			{
-				"rank": "R03",
-				"name1": "Class",
-				"name2": "Class1",
-				"level": 0.268639,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.7725,
-				"dataCost": 103.619
-			},
-			{
-				"rank": "R04",
-				"name1": "Class1",
-				"name2": "SPetalLength",
-				"level": 0.217256,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.08,
-				"dataCost": 131.541
-			},
-			{
-				"rank": "R05",
-				"name1": "Class2",
-				"name2": "SPetalLength",
-				"level": 0.180347,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.3671,
-				"dataCost": 142.207
-			},
-			{
-				"rank": "R06",
-				"name1": "PetalLength",
-				"name2": "SPetalLength",
-				"level": 0.144064,
-				"variables": 2,
-				"parts1": 5,
-				"parts2": 5,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 67.8275,
-				"dataCost": 359.134
-			},
-			{
-				"rank": "R07",
-				"name1": "Class",
-				"name2": "PetalLength",
-				"level": 0.141345,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 30.7159,
-				"dataCost": 367.831
-			},
-			{
-				"rank": "R08",
-				"name1": "Class",
-				"name2": "PetalWidth",
-				"level": 0.138676,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 30.7159,
-				"dataCost": 369.091
-			},
-			{
-				"rank": "R09",
-				"name1": "PetalWidth",
-				"name2": "SPetalLength",
-				"level": 0.113809,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 40.1193,
-				"dataCost": 402.171
-			},
-			{
-				"rank": "R10",
-				"name1": "Class1",
-				"name2": "LowerPetalLength",
-				"level": 0.104168,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 359.134
-			},
-			{
-				"rank": "R11",
-				"name1": "Class1",
-				"name2": "PetalLength",
-				"level": 0.104168,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 359.134
-			},
-			{
-				"rank": "R12",
-				"name1": "Class1",
-				"name2": "PetalWidth",
-				"level": 0.104168,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 359.134
-			},
-			{
-				"rank": "R13",
-				"name1": "Class",
-				"name2": "LowerPetalLength",
-				"level": 0.0904843,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.8841,
-				"dataCost": 403.668
-			},
-			{
-				"rank": "R14",
-				"name1": "LowerPetalLength",
-				"name2": "SPetalLength",
-				"level": 0.081263,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.1915,
-				"dataCost": 431.589
-			},
-			{
-				"rank": "R15",
-				"name1": "PetalLength",
-				"name2": "PetalWidth",
-				"level": 0.0768484,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.5057,
-				"dataCost": 627.489
-			},
-			{
-				"rank": "R16",
-				"name1": "Class2",
-				"name2": "PetalLength",
-				"level": 0.0755679,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 3,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.5279,
-				"dataCost": 367.831
-			},
-			{
-				"rank": "R17",
-				"name1": "Class2",
-				"name2": "PetalWidth",
-				"level": 0.0726203,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.5279,
-				"dataCost": 369.091
-			},
-			{
-				"rank": "R18",
-				"name1": "Class",
-				"name2": "UpperPetalWidth",
-				"level": 0.0668354,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.8841,
-				"dataCost": 414.829
-			},
-			{
-				"rank": "R19",
-				"name1": "PetalWidth",
-				"name2": "UpperPetalWidth",
-				"level": 0.0638378,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.5057,
-				"dataCost": 636.843
-			},
-			{
-				"rank": "R20",
-				"name1": "Class1",
-				"name2": "Class2",
-				"level": 0.0617915,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.4398,
-				"dataCost": 103.619
-			},
-			{
-				"rank": "R21",
-				"name1": "SPetalLength",
-				"name2": "SepalLength",
-				"level": 0.0603034,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 40.0933,
-				"dataCost": 429.307
-			},
-			{
-				"rank": "R22",
-				"name1": "LowerPetalLength",
-				"name2": "PetalLength",
-				"level": 0.0599177,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.5057,
-				"dataCost": 639.662
-			},
-			{
-				"rank": "R23",
-				"name1": "Class1",
-				"name2": "SepalLength",
-				"level": 0.0587558,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 378.367
-			},
-			{
-				"rank": "R24",
-				"name1": "LowerPetalLength",
-				"name2": "PetalWidth",
-				"level": 0.0548016,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 659.183
-			},
-			{
-				"rank": "R25",
-				"name1": "Class",
-				"name2": "SepalLength",
-				"level": 0.0526999,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 7,
-				"constructionCost": 6.71557,
-				"preparationCost": 30.7159,
-				"dataCost": 409.669
-			},
-			{
-				"rank": "R26",
-				"name1": "SPetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.0472362,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.49,
-				"dataCost": 448.531
-			},
-			{
-				"rank": "R27",
-				"name1": "PetalLength",
-				"name2": "SepalLength",
-				"level": 0.0390468,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.5057,
-				"dataCost": 654.667
-			},
-			{
-				"rank": "R28",
-				"name1": "PetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.0369425,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 672.023
-			},
-			{
-				"rank": "R29",
-				"name1": "PetalWidth",
-				"name2": "SepalLength",
-				"level": 0.0328232,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 8,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.5057,
-				"dataCost": 659.142
-			},
-			{
-				"rank": "R30",
-				"name1": "LowerPetalLength",
-				"name2": "SepalLength",
-				"level": 0.0280508,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 678.416
-			},
-			{
-				"rank": "R31",
-				"name1": "Class1",
-				"name2": "SepalWidth",
-				"level": 0.0171455,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 395.99
-			},
-			{
-				"rank": "R32",
-				"name1": "Class",
-				"name2": "SepalWidth",
-				"level": 0.0123962,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.8841,
-				"dataCost": 440.523
-			},
-			{
-				"rank": "R33",
-				"name1": "SPetalLength",
-				"name2": "SepalWidth",
-				"level": 0.00852231,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.1915,
-				"dataCost": 468.445
-			},
-			{
-				"rank": "R34",
-				"name1": "Class2",
-				"name2": "LowerPetalLength",
-				"level": 0.00803804,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 403.668
-			},
-			{
-				"rank": "R35",
-				"name1": "SepalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.00632132,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 694.038
-			},
-			{
-				"rank": "R36",
-				"name1": "LowerPetalLength",
-				"name2": "SepalWidth",
-				"level": 0.00353941,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 696.038
-			},
-			{
-				"rank": "R37",
-				"name1": "PetalLength",
-				"name2": "SepalWidth",
-				"level": 0.00353941,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 696.038
-			},
-			{
-				"rank": "R38",
-				"name1": "PetalWidth",
-				"name2": "SepalWidth",
-				"level": 0.00353941,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6629,
-				"dataCost": 696.038
-			},
-			{
-				"rank": "R39",
-				"name1": "Class1",
-				"name2": "UpperPetalWidth",
-				"level": 0.00191989,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.5513,
-				"dataCost": 402.438
-			},
-			{
-				"rank": "R40",
-				"name1": "Class",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.52714,
-				"dataCost": 462.753
-			},
-			{
-				"rank": "R41",
-				"name1": "Class1",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.60517,
-				"dataCost": 418.22
-			},
-			{
-				"rank": "R42",
-				"name1": "Class2",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.60517,
-				"dataCost": 422.072
-			},
-			{
-				"rank": "R43",
-				"name1": "Class2",
-				"name2": "SepalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.60517,
-				"dataCost": 422.072
-			},
-			{
-				"rank": "R44",
-				"name1": "Class2",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.60517,
-				"dataCost": 422.072
-			},
-			{
-				"rank": "R45",
-				"name1": "Class2",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.60517,
-				"dataCost": 422.072
-			},
-			{
-				"rank": "R46",
-				"name1": "Dummy2",
-				"name2": "LowerPetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R47",
-				"name1": "Dummy2",
-				"name2": "PetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R48",
-				"name1": "Dummy2",
-				"name2": "PetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R49",
-				"name1": "Dummy2",
-				"name2": "SPetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 15.3019,
-				"dataCost": 490.675
-			},
-			{
-				"rank": "R50",
-				"name1": "Dummy2",
-				"name2": "SepalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R51",
-				"name1": "Dummy2",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R52",
-				"name1": "Dummy2",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R53",
-				"name1": "LowerPetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R54",
-				"name1": "SepalLength",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			},
-			{
-				"rank": "R55",
-				"name1": "SepalWidth",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 718.268
-			}
-		],
-		"variablesPairsDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa","Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [62,37]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"cellIds": ["C1","C3","C5","C7","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[2,0],
-						[1,1],
-						[0,2],
-						[2,2]
-					],
-					"cellFrequencies": [36,2,31,1,29]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [68,31]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","5","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [68,31]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1","5","6"],
-								["4","3"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [60,1,2,36]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3.95],
-								[3.95,4.95],
-								[4.95,5.95],
-								[5.95,6.9]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4"],
-								["1"],
-								["5"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						}
-					],
-					"cellIds": ["C3","C6","C14","C17","C25"],
-					"cellPartIndexes": [
-						[2,0],
-						[0,1],
-						[3,2],
-						[1,3],
-						[4,4]
-					],
-					"cellFrequencies": [32,31,24,6,6]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"cellIds": ["C2","C4","C7","C9"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1],
-						[0,2],
-						[2,2]
-					],
-					"cellFrequencies": [31,34,3,31]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C2","C4","C6","C7","C9"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1],
-						[2,1],
-						[0,2],
-						[2,2]
-					],
-					"cellFrequencies": [31,36,2,1,29]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.65],
-								[1.65,2.5]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3"],
-								["1"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"cellIds": ["C2","C3","C4","C8","C9"],
-					"cellPartIndexes": [
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [35,3,31,2,28]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [31,68]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [31,68]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,2.5]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [31,68]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [31,68]
-				}
-			},
-			"R14": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","5","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [68,31]
-				}
-			},
-			"R15": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.75],
-								[4.75,6.9]
-							]
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.65],
-								[1.65,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C6","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[2,2]
-					],
-					"cellFrequencies": [31,32,5,31]
-				}
-			},
-			"R16": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"cellIds": ["C1","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[0,2],
-						[1,2]
-					],
-					"cellFrequencies": [31,34,31,3]
-				}
-			},
-			"R17": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[0,2],
-						[1,2]
-					],
-					"cellFrequencies": [31,2,36,29,1]
-				}
-			},
-			"R18": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [67,2,1,29]
-				}
-			},
-			"R19": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,1.55],
-								[1.55,2.05],
-								[2.05,2.5]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.05],
-								[2.05,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,2]
-					],
-					"cellFrequencies": [66,17,16]
-				}
-			},
-			"R20": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [31,31,37]
-				}
-			},
-			"R21": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1","3"],
-								["4"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.75],
-								[5.75,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C4","C5","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [31,6,10,22,30]
-				}
-			},
-			"R22": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,2]
-					],
-					"cellFrequencies": [16,15,68]
-				}
-			},
-			"R23": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [3,28,65,3]
-				}
-			},
-			"R24": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [31,68]
-				}
-			},
-			"R25": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor"],
-								["Iris-setosa"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.75],
-								[5.75,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C4","C5","C6","C7","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[0,2],
-						[2,2]
-					],
-					"cellFrequencies": [3,28,12,3,1,22,30]
-				}
-			},
-			"R26": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","1","3"],
-								["5","6"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.65],
-								[1.65,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [66,2,3,28]
-				}
-			},
-			"R27": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,3.95],
-								[3.95,5.15],
-								[5.15,6.9]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,6.15],
-								[6.15,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C4","C5","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [31,6,25,16,21]
-				}
-			},
-			"R28": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,4.75],
-								[4.75,6.9]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.65],
-								[1.65,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellFrequencies": [63,5,31]
-				}
-			},
-			"R29": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,1.35],
-								[1.35,2.5]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.75],
-								[5.75,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [28,2,1,3,11,2,7,45]
-				}
-			},
-			"R30": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [28,3,3,65]
-				}
-			},
-			"R31": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [65,11,3,20]
-				}
-			},
-			"R32": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-versicolor","Iris-virginica"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [65,11,3,20]
-				}
-			},
-			"R33": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","5","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [65,11,3,20]
-				}
-			},
-			"R34": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [31,31,37]
-				}
-			},
-			"R35": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.75],
-								[5.75,7.7]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [46,20,1,32]
-				}
-			},
-			"R36": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [11,65,20,3]
-				}
-			},
-			"R37": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,6.9]
-							]
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [11,65,20,3]
-				}
-			},
-			"R38": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.7],
-								[0.7,2.5]
-							]
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [11,65,20,3]
-				}
-			},
-			"R39": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [35,31,33]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					1
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Unsupervised analysis",
+			"evaluatedVariables": 2,
+			"nativeVariables": 1,
+			"constructedVariables": 1,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 100
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL"
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R1",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"parts": 5,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 1.38629,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R2",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 1.38629
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						}
+					],
+					"frequencies": [38,27,25,8,7]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R2": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.95,2.45],
+								[2.45,3.25],
+								[3.25,4.45]
+							]
+						}
+					],
+					"frequencies": [5,72,28]
+				},
+				"modlHistograms": {
+					"histogramNumber": 4,
+					"interpretableHistogramNumber": 3,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,1,2,29],
+					"intervalNumbers": [1,2,3,23],
+					"peakIntervalNumbers": [0,0,1,11],
+					"spikeIntervalNumbers": [0,0,0,11],
+					"emptyIntervalNumbers": [0,0,0,8],
+					"levels": [0,0.002413792626,0.009713296272,0.471063928],
+					"informationRates": [0,24.85039639,100,4849.681455],
+					"histograms": [
+						{
+							"bounds": [1.95,4.45],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [1.95,3.25,4.45],
+							"frequencies": [77,28]
+						},
+						{
+							"bounds": [1.95,2.45,3.25,4.45],
+							"frequencies": [5,72,28]
+						},
+						{
+							"bounds": [1.9921875,2.499999985,2.5,2.599999994,2.600000009,2.699999988,2.700000003,2.799999997,2.800000012,2.899999991,2.900000006,2.999999985,3,3.099999994,3.100000009,3.199999988,3.200000003,3.399999991,3.400000006,3.499999985,3.5,3.799999997,3.800000012,4.40625],
+							"frequencies": [5,6,0,3,0,5,0,11,0,6,0,20,0,10,0,11,2,10,0,3,3,4,6]
+						}
+					]
+				}
+			}
+		}
+	},
+	"bivariatePreparationReport": {
+		"reportType": "BivariatePreparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					1
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Unsupervised analysis",
+			"evaluatedVariablePairs": 1,
+			"informativeVariablePairs": 1
+		},
+		"variablesPairsStatistics": [
+			{
+				"rank": "R1",
+				"name1": "SPetalLength",
+				"name2": "SepalWidth",
+				"level": 0.0103105,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 9,
+				"constructionCost": 3.13205,
+				"preparationCost": 38.9735,
+				"dataCost": 497.662
+			}
+		],
+		"variablesPairsDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["4"],
+								["1"],
+								["5"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.95],
+								[2.95,3.25],
+								[3.25,4.4]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4","C5","C6","C7","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1],
+						[0,2],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [26,1,9,10,15,16,4,22,2]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisU2D.khj b/tests/resources/analysis_results/ref_json_reports/IrisU2D.khj
index 73582195..4cbf7989 100644
--- a/tests/resources/analysis_results/ref_json_reports/IrisU2D.khj
+++ b/tests/resources/analysis_results/ref_json_reports/IrisU2D.khj
@@ -1,2714 +1,2714 @@
-{
-	"tool": "Khiops",
-	"version": "10.5.0-a1",
-	"shortDescription": "",
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 105,
-			"learningTask": "Unsupervised analysis",
-			"evaluatedVariables": 12,
-			"nativeVariables": 5,
-			"constructedVariables": 7,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTextFeatures": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 100
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL"
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "Class",
-				"type": "Categorical",
-				"parts": 3,
-				"values": 3,
-				"mode": "Iris-setosa",
-				"modeFrequency": 38,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R02",
-				"name": "Class1",
-				"type": "Categorical",
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 67,
-				"missingNumber": 67,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
-			},
-			{
-				"rank": "R03",
-				"name": "Class2",
-				"type": "Categorical",
-				"parts": 2,
-				"values": 2,
-				"mode": "",
-				"modeFrequency": 73,
-				"missingNumber": 73,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
-			},
-			{
-				"rank": "R04",
-				"name": "Dummy1",
-				"type": "Numerical",
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R05",
-				"name": "Dummy2",
-				"type": "Numerical",
-				"parts": 1,
-				"values": 105,
-				"min": 0.005121241265,
-				"max": 0.9859650261,
-				"mean": 0.5173966838,
-				"stdDev": 0.2650019122,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "Random()"
-			},
-			{
-				"rank": "R06",
-				"name": "LowerPetalLength",
-				"type": "Numerical",
-				"parts": 4,
-				"values": 10,
-				"min": 1,
-				"max": 3,
-				"mean": 2.446666667,
-				"stdDev": 0.7433600251,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
-			},
-			{
-				"rank": "R07",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"parts": 5,
-				"values": 36,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.686666667,
-				"stdDev": 1.80132579,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R08",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"parts": 5,
-				"values": 21,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.175238095,
-				"stdDev": 0.7880996979,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R09",
-				"name": "SPetalLength",
-				"type": "Categorical",
-				"parts": 5,
-				"values": 5,
-				"mode": "1",
-				"modeFrequency": 38,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "AsCategorical(Floor(PetalLength))"
-			},
-			{
-				"rank": "R10",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"parts": 2,
-				"values": 31,
-				"min": 4.3,
-				"max": 7.7,
-				"mean": 5.827619048,
-				"stdDev": 0.8375127846,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R11",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"parts": 3,
-				"values": 23,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.081904762,
-				"stdDev": 0.4284592446,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805
-			},
-			{
-				"rank": "R12",
-				"name": "UpperPetalWidth",
-				"type": "Numerical",
-				"parts": 2,
-				"values": 11,
-				"min": 1.5,
-				"max": 2.5,
-				"mean": 1.692380952,
-				"stdDev": 0.2962287527,
-				"missingNumber": 0,
-				"sparseMissingNumber": 0,
-				"constructionCost": 3.17805,
-				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						}
-					],
-					"frequencies": [38,35,32]
-				},
-				"inputValues": {
-					"values": ["Iris-setosa","Iris-virginica","Iris-versicolor"],
-					"frequencies": [38,35,32]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"frequencies": [67,38]
-				},
-				"inputValues": {
-					"values": ["","setosa"],
-					"frequencies": [67,38]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"frequencies": [73,32]
-				},
-				"inputValues": {
-					"values": ["","versicolor"],
-					"frequencies": [73,32]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Dummy2",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.00390625,1]
-							]
-						}
-					],
-					"frequencies": [105]
-				},
-				"modlHistograms": {
-					"histogramNumber": 1,
-					"interpretableHistogramNumber": 1,
-					"truncationEpsilon": 0,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0],
-					"intervalNumbers": [1],
-					"peakIntervalNumbers": [0],
-					"spikeIntervalNumbers": [0],
-					"emptyIntervalNumbers": [0],
-					"levels": [0],
-					"informationRates": [0],
-					"histograms": [
-						{
-							"bounds": [0.00390625,1],
-							"frequencies": [105]
-						}
-					]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.95,1.25],
-								[1.25,1.75],
-								[1.75,2.95],
-								[2.95,3.05]
-							]
-						}
-					],
-					"frequencies": [4,32,2,67]
-				},
-				"modlHistograms": {
-					"histogramNumber": 5,
-					"interpretableHistogramNumber": 4,
-					"truncationEpsilon": 0.1,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,2,3,5,28],
-					"intervalNumbers": [1,3,5,4,12],
-					"peakIntervalNumbers": [0,0,1,1,5],
-					"spikeIntervalNumbers": [0,0,0,0,5],
-					"emptyIntervalNumbers": [0,0,1,0,4],
-					"levels": [0,0.01356921313,0.04765003824,0.06838973265,0.6853858332],
-					"informationRates": [0,19.84100917,69.67425722,100,1002.176506],
-					"histograms": [
-						{
-							"bounds": [0.95,3.05],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [0.95,1.65,2.45,3.05],
-							"frequencies": [32,6,67]
-						},
-						{
-							"bounds": [0.95,1.25,1.65,2.05,2.85,3.05],
-							"frequencies": [4,28,6,0,67]
-						},
-						{
-							"bounds": [0.95,1.25,1.75,2.95,3.05],
-							"frequencies": [4,32,2,67]
-						},
-						{
-							"bounds": [0.9375,1.299999997,1.300000012,1.399999991,1.400000006,1.499999985,1.5,1.599999994,1.600000009,1.699999988,1.700000003,2.999999985,3],
-							"frequencies": [4,4,0,9,0,10,0,5,0,4,2,67]
-						}
-					]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.95,1.25],
-								[1.25,1.75],
-								[1.75,3.85],
-								[3.85,6.15],
-								[6.15,6.95]
-							]
-						}
-					],
-					"frequencies": [4,32,7,59,3]
-				},
-				"modlHistograms": {
-					"histogramNumber": 5,
-					"interpretableHistogramNumber": 4,
-					"truncationEpsilon": 0.1,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,3,5,7,29],
-					"intervalNumbers": [1,3,7,5,41],
-					"peakIntervalNumbers": [0,0,2,2,20],
-					"spikeIntervalNumbers": [0,0,0,0,20],
-					"emptyIntervalNumbers": [0,0,0,0,14],
-					"levels": [0,0.005142168327,0.006968300144,0.00863976387,0.2871300831],
-					"informationRates": [0,59.51746372,80.6538263,100,3323.355678],
-					"histograms": [
-						{
-							"bounds": [0.95,6.95],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [0.95,1.65,3.25,6.95],
-							"frequencies": [32,7,66]
-						},
-						{
-							"bounds": [0.95,1.25,1.65,2.05,3.25,4.45,5.65,6.95],
-							"frequencies": [4,28,6,1,17,37,12]
-						},
-						{
-							"bounds": [0.95,1.25,1.75,3.85,6.15,6.95],
-							"frequencies": [4,32,7,59,3]
-						},
-						{
-							"bounds": [0.875,1.299999997,1.300000012,1.399999991,1.400000006,1.499999985,1.5,1.599999994,1.600000009,1.699999988,1.700000003,1.899999991,1.900000006,3.499999985,3.5,3.899999991,3.900000006,3.999999985,4,4.099999994,4.100000009,4.499999985,4.5,4.699999988,4.700000003,4.799999997,4.800000012,4.899999991,4.900000006,4.999999985,5,5.099999994,5.100000009,5.499999985,5.5,5.599999994,5.600000009,6.099999994,6.100000009,6.699999988,6.700000003,7],
-							"frequencies": [4,4,0,9,0,10,0,5,0,4,0,2,2,2,1,3,0,4,0,3,3,5,0,4,0,3,0,3,0,3,0,5,5,3,0,6,6,3,0,2,1]
-						}
-					]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.05,0.15],
-								[0.15,0.25],
-								[0.25,0.45],
-								[0.45,0.85],
-								[0.85,2.55]
-							]
-						}
-					],
-					"frequencies": [6,20,11,1,67]
-				},
-				"modlHistograms": {
-					"histogramNumber": 5,
-					"interpretableHistogramNumber": 4,
-					"truncationEpsilon": 0.1,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,1,2,3,30],
-					"intervalNumbers": [1,2,2,5,28],
-					"peakIntervalNumbers": [0,0,0,1,13],
-					"spikeIntervalNumbers": [0,0,0,1,13],
-					"emptyIntervalNumbers": [0,0,0,0,9],
-					"levels": [0,0.003138504791,0.003358793296,0.004913113283,0.5003837405],
-					"informationRates": [0,63.88016335,68.36384798,100,10184.65709],
-					"histograms": [
-						{
-							"bounds": [0.05,2.55],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [0.05,0.45,2.55],
-							"frequencies": [37,68]
-						},
-						{
-							"bounds": [0.05,0.25,2.55],
-							"frequencies": [26,79]
-						},
-						{
-							"bounds": [0.05,0.15,0.25,0.45,0.85,2.55],
-							"frequencies": [6,20,11,1,67]
-						},
-						{
-							"bounds": [0.09999999963,0.1000000001,0.1999999993,0.2000000002,0.2999999989,0.3000000007,0.3999999985,0.4000000004,0.9999999963,1,1.299999997,1.300000004,1.399999999,1.400000006,1.499999993,1.5,1.599999994,1.600000001,1.799999997,1.800000004,1.999999993,2,2.099999994,2.100000009,2.199999988,2.200000003,2.299999997,2.300000012,2.5],
-							"frequencies": [6,0,20,0,5,0,6,1,5,4,9,0,6,0,5,0,3,1,9,2,5,0,4,0,3,0,8,3]
-						}
-					]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1"],
-								["5"],
-								["4"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						}
-					],
-					"frequencies": [38,27,25,8,7]
-				},
-				"inputValues": {
-					"values": ["1","5","4","3","6"],
-					"frequencies": [38,27,25,8,7]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.25,7],
-								[7,7.75]
-							]
-						}
-					],
-					"frequencies": [97,8]
-				},
-				"modlHistograms": {
-					"histogramNumber": 2,
-					"interpretableHistogramNumber": 2,
-					"truncationEpsilon": 0,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,2],
-					"intervalNumbers": [1,2],
-					"peakIntervalNumbers": [0,0],
-					"spikeIntervalNumbers": [0,0],
-					"emptyIntervalNumbers": [0,0],
-					"levels": [0,0.0003815098758],
-					"informationRates": [0,100],
-					"histograms": [
-						{
-							"bounds": [4.25,7.75],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [4.25,7,7.75],
-							"frequencies": [97,8]
-						}
-					]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.95,2.45],
-								[2.45,3.25],
-								[3.25,4.45]
-							]
-						}
-					],
-					"frequencies": [5,72,28]
-				},
-				"modlHistograms": {
-					"histogramNumber": 4,
-					"interpretableHistogramNumber": 3,
-					"truncationEpsilon": 0.1,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,1,2,29],
-					"intervalNumbers": [1,2,3,23],
-					"peakIntervalNumbers": [0,0,1,11],
-					"spikeIntervalNumbers": [0,0,0,11],
-					"emptyIntervalNumbers": [0,0,0,8],
-					"levels": [0,0.002413792626,0.009713296272,0.471063928],
-					"informationRates": [0,24.85039639,100,4849.681455],
-					"histograms": [
-						{
-							"bounds": [1.95,4.45],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [1.95,3.25,4.45],
-							"frequencies": [77,28]
-						},
-						{
-							"bounds": [1.95,2.45,3.25,4.45],
-							"frequencies": [5,72,28]
-						},
-						{
-							"bounds": [1.9921875,2.499999985,2.5,2.599999994,2.600000009,2.699999988,2.700000003,2.799999997,2.800000012,2.899999991,2.900000006,2.999999985,3,3.099999994,3.100000009,3.199999988,3.200000003,3.399999991,3.400000006,3.499999985,3.5,3.799999997,3.800000012,4.40625],
-							"frequencies": [5,6,0,3,0,5,0,11,0,6,0,20,0,10,0,11,2,10,0,3,3,4,6]
-						}
-					]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.45,1.55],
-								[1.55,2.55]
-							]
-						}
-					],
-					"frequencies": [67,38]
-				},
-				"modlHistograms": {
-					"histogramNumber": 4,
-					"interpretableHistogramNumber": 3,
-					"truncationEpsilon": 0.1,
-					"removedSingularIntervalNumber": 0,
-					"granularities": [0,1,5,28],
-					"intervalNumbers": [1,2,2,14],
-					"peakIntervalNumbers": [0,0,0,6],
-					"spikeIntervalNumbers": [0,0,0,6],
-					"emptyIntervalNumbers": [0,0,0,4],
-					"levels": [0,0.02500256671,0.03972305577,0.6316260053],
-					"informationRates": [0,62.94220379,100,1590.074059],
-					"histograms": [
-						{
-							"bounds": [1.45,2.55],
-							"frequencies": [105]
-						},
-						{
-							"bounds": [1.45,1.65,2.55],
-							"frequencies": [70,35]
-						},
-						{
-							"bounds": [1.45,1.55,2.55],
-							"frequencies": [67,38]
-						},
-						{
-							"bounds": [1.499999985,1.5,1.599999994,1.600000009,1.799999997,1.800000012,1.999999985,2,2.099999994,2.100000009,2.199999988,2.200000003,2.299999997,2.300000012,2.5],
-							"frequencies": [67,0,3,1,9,2,5,0,4,0,3,0,8,3]
-						}
-					]
-				}
-			}
-		}
-	},
-	"bivariatePreparationReport": {
-		"reportType": "BivariatePreparation",
-		"summary": {
-			"dictionary": "Iris",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					4,
-					8
-				]
-			},
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 105,
-			"learningTask": "Unsupervised analysis",
-			"evaluatedVariablePairs": 55,
-			"informativeVariablePairs": 38
-		},
-		"variablesPairsStatistics": [
-			{
-				"rank": "R01",
-				"name1": "Class",
-				"name2": "Class1",
-				"level": 0.286471,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 18.9311,
-				"dataCost": 110.25
-			},
-			{
-				"rank": "R02",
-				"name1": "Class",
-				"name2": "Class2",
-				"level": 0.270234,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 19.0156,
-				"dataCost": 110.25
-			},
-			{
-				"rank": "R03",
-				"name1": "Class",
-				"name2": "SPetalLength",
-				"level": 0.258511,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 41.7647,
-				"dataCost": 157.188
-			},
-			{
-				"rank": "R04",
-				"name1": "Class1",
-				"name2": "SPetalLength",
-				"level": 0.231831,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.2099,
-				"dataCost": 142.253
-			},
-			{
-				"rank": "R05",
-				"name1": "PetalLength",
-				"name2": "SPetalLength",
-				"level": 0.151582,
-				"variables": 2,
-				"parts1": 5,
-				"parts2": 5,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 69.091,
-				"dataCost": 386.913
-			},
-			{
-				"rank": "R06",
-				"name1": "Class2",
-				"name2": "SPetalLength",
-				"level": 0.142436,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.7273,
-				"dataCost": 158.704
-			},
-			{
-				"rank": "R07",
-				"name1": "Class",
-				"name2": "PetalWidth",
-				"level": 0.14197,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 31.1679,
-				"dataCost": 396.708
-			},
-			{
-				"rank": "R08",
-				"name1": "Class",
-				"name2": "PetalLength",
-				"level": 0.136908,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 31.1679,
-				"dataCost": 399.272
-			},
-			{
-				"rank": "R09",
-				"name1": "Class1",
-				"name2": "LowerPetalLength",
-				"level": 0.111506,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 386.913
-			},
-			{
-				"rank": "R10",
-				"name1": "Class1",
-				"name2": "PetalLength",
-				"level": 0.111506,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 386.913
-			},
-			{
-				"rank": "R11",
-				"name1": "Class1",
-				"name2": "PetalWidth",
-				"level": 0.111506,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 386.913
-			},
-			{
-				"rank": "R12",
-				"name1": "PetalWidth",
-				"name2": "SPetalLength",
-				"level": 0.109807,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 40.5555,
-				"dataCost": 438.232
-			},
-			{
-				"rank": "R13",
-				"name1": "Class",
-				"name2": "LowerPetalLength",
-				"level": 0.0982915,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 19.0436,
-				"dataCost": 430.955
-			},
-			{
-				"rank": "R14",
-				"name1": "LowerPetalLength",
-				"name2": "SPetalLength",
-				"level": 0.0887331,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 27.3225,
-				"dataCost": 462.959
-			},
-			{
-				"rank": "R15",
-				"name1": "PetalLength",
-				"name2": "PetalWidth",
-				"level": 0.0785935,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.9587,
-				"dataCost": 676.972
-			},
-			{
-				"rank": "R16",
-				"name1": "Class",
-				"name2": "UpperPetalWidth",
-				"level": 0.0721164,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 19.0868,
-				"dataCost": 444.17
-			},
-			{
-				"rank": "R17",
-				"name1": "PetalWidth",
-				"name2": "UpperPetalWidth",
-				"level": 0.0703191,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.9587,
-				"dataCost": 683.381
-			},
-			{
-				"rank": "R18",
-				"name1": "LowerPetalLength",
-				"name2": "PetalLength",
-				"level": 0.0701201,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.9587,
-				"dataCost": 683.535
-			},
-			{
-				"rank": "R19",
-				"name1": "Class2",
-				"name2": "PetalWidth",
-				"level": 0.0662843,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.8147,
-				"dataCost": 396.708
-			},
-			{
-				"rank": "R20",
-				"name1": "SPetalLength",
-				"name2": "SepalLength",
-				"level": 0.0654694,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 4,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 49.4973,
-				"dataCost": 453.472
-			},
-			{
-				"rank": "R21",
-				"name1": "Class2",
-				"name2": "PetalLength",
-				"level": 0.0606416,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.8147,
-				"dataCost": 399.272
-			},
-			{
-				"rank": "R22",
-				"name1": "LowerPetalLength",
-				"name2": "PetalWidth",
-				"level": 0.0598398,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 2,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.838,
-				"dataCost": 707.618
-			},
-			{
-				"rank": "R23",
-				"name1": "Class",
-				"name2": "SepalLength",
-				"level": 0.059526,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 7,
-				"constructionCost": 6.71557,
-				"preparationCost": 31.1679,
-				"dataCost": 438.466
-			},
-			{
-				"rank": "R24",
-				"name1": "Class1",
-				"name2": "Class2",
-				"level": 0.0559199,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.6129,
-				"dataCost": 110.25
-			},
-			{
-				"rank": "R25",
-				"name1": "Class1",
-				"name2": "SepalLength",
-				"level": 0.0531576,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 413.664
-			},
-			{
-				"rank": "R26",
-				"name1": "SPetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.0466723,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 2,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 31.8478,
-				"dataCost": 481.373
-			},
-			{
-				"rank": "R27",
-				"name1": "PetalLength",
-				"name2": "SepalLength",
-				"level": 0.0407398,
-				"variables": 2,
-				"parts1": 4,
-				"parts2": 4,
-				"cells": 8,
-				"constructionCost": 6.71557,
-				"preparationCost": 47.7303,
-				"dataCost": 688.519
-			},
-			{
-				"rank": "R28",
-				"name1": "PetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.0401281,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.838,
-				"dataCost": 722.885
-			},
-			{
-				"rank": "R29",
-				"name1": "PetalWidth",
-				"name2": "SepalLength",
-				"level": 0.0303985,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 8,
-				"constructionCost": 6.71557,
-				"preparationCost": 29.9587,
-				"dataCost": 714.3
-			},
-			{
-				"rank": "R30",
-				"name1": "LowerPetalLength",
-				"name2": "SepalLength",
-				"level": 0.0253003,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.838,
-				"dataCost": 734.369
-			},
-			{
-				"rank": "R31",
-				"name1": "Class1",
-				"name2": "UpperPetalWidth",
-				"level": 0.0166012,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 430.424
-			},
-			{
-				"rank": "R32",
-				"name1": "SepalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.0164148,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 4,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.838,
-				"dataCost": 741.251
-			},
-			{
-				"rank": "R33",
-				"name1": "Class1",
-				"name2": "SepalWidth",
-				"level": 0.00749643,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 3,
-				"cells": 5,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.8147,
-				"dataCost": 427.509
-			},
-			{
-				"rank": "R34",
-				"name1": "Class2",
-				"name2": "LowerPetalLength",
-				"level": 0.0065114,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.7255,
-				"dataCost": 430.955
-			},
-			{
-				"rank": "R35",
-				"name1": "Class",
-				"name2": "SepalWidth",
-				"level": 0.00543684,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 2,
-				"cells": 6,
-				"constructionCost": 6.71557,
-				"preparationCost": 22.1365,
-				"dataCost": 474.893
-			},
-			{
-				"rank": "R36",
-				"name1": "LowerPetalLength",
-				"name2": "UpperPetalWidth",
-				"level": 0.00366071,
-				"variables": 2,
-				"parts1": 2,
-				"parts2": 2,
-				"cells": 3,
-				"constructionCost": 6.71557,
-				"preparationCost": 13.838,
-				"dataCost": 751.129
-			},
-			{
-				"rank": "R37",
-				"name1": "PetalWidth",
-				"name2": "SepalWidth",
-				"level": 0.00221737,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 2,
-				"cells": 6,
-				"constructionCost": 6.71557,
-				"preparationCost": 20.9273,
-				"dataCost": 745.158
-			},
-			{
-				"rank": "R38",
-				"name1": "SPetalLength",
-				"name2": "SepalWidth",
-				"level": 0.00143264,
-				"variables": 2,
-				"parts1": 3,
-				"parts2": 3,
-				"cells": 9,
-				"constructionCost": 6.71557,
-				"preparationCost": 40.2319,
-				"dataCost": 497.662
-			},
-			{
-				"rank": "R39",
-				"name1": "Class",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 8.64312,
-				"dataCost": 497.163
-			},
-			{
-				"rank": "R40",
-				"name1": "Class1",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.66344,
-				"dataCost": 453.12
-			},
-			{
-				"rank": "R41",
-				"name1": "Class2",
-				"name2": "Dummy2",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.66344,
-				"dataCost": 448.998
-			},
-			{
-				"rank": "R42",
-				"name1": "Class2",
-				"name2": "SepalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.66344,
-				"dataCost": 448.998
-			},
-			{
-				"rank": "R43",
-				"name1": "Class2",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.66344,
-				"dataCost": 448.998
-			},
-			{
-				"rank": "R44",
-				"name1": "Class2",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 4.66344,
-				"dataCost": 448.998
-			},
-			{
-				"rank": "R45",
-				"name1": "Dummy2",
-				"name2": "LowerPetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R46",
-				"name1": "Dummy2",
-				"name2": "PetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R47",
-				"name1": "Dummy2",
-				"name2": "PetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R48",
-				"name1": "Dummy2",
-				"name2": "SPetalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 15.5317,
-				"dataCost": 529.166
-			},
-			{
-				"rank": "R49",
-				"name1": "Dummy2",
-				"name2": "SepalLength",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R50",
-				"name1": "Dummy2",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R51",
-				"name1": "Dummy2",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R52",
-				"name1": "LowerPetalLength",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R53",
-				"name1": "PetalLength",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R54",
-				"name1": "SepalLength",
-				"name2": "SepalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			},
-			{
-				"rank": "R55",
-				"name1": "SepalWidth",
-				"name2": "UpperPetalWidth",
-				"level": 0,
-				"variables": 0,
-				"parts1": 1,
-				"parts2": 1,
-				"cells": 1,
-				"constructionCost": 0.693147,
-				"preparationCost": 0,
-				"dataCost": 773.825
-			}
-		],
-		"variablesPairsDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-virginica","Iris-versicolor"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [67,38]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa","Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [73,32]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1"],
-								["5","6"],
-								["4","3"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [38,32,2,3,30]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["5","4","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [67,38]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3.95],
-								[3.95,4.95],
-								[4.95,5.95],
-								[5.95,6.9]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1"],
-								["5"],
-								["4"],
-								["3"],
-								["6"]
-							],
-							"defaultGroupIndex": 4
-						}
-					],
-					"cellIds": ["C1","C9","C13","C17","C25"],
-					"cellPartIndexes": [
-						[0,0],
-						[3,1],
-						[2,2],
-						[1,3],
-						[4,4]
-					],
-					"cellFrequencies": [38,27,25,8,7]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1","5","6"],
-								["4","3"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [70,2,3,30]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [38,2,31,33,1]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [38,1,29,34,3]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [38,67]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [38,67]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [38,67]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.65],
-								[1.65,2.5]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1"],
-								["5","6"],
-								["4","3"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [38,3,31,29,4]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-virginica","Iris-versicolor"],
-								["Iris-setosa"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [38,67]
-				}
-			},
-			"R14": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["5","4","3","6"],
-								["1"]
-							],
-							"defaultGroupIndex": 0
-						}
-					],
-					"cellIds": ["C2","C3"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [67,38]
-				}
-			},
-			"R15": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.75],
-								[4.75,6.9]
-							]
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.65],
-								[1.65,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C6","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,1],
-						[2,2]
-					],
-					"cellFrequencies": [38,27,5,35]
-				}
-			},
-			"R16": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa","Iris-versicolor"],
-								["Iris-virginica"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [69,2,1,33]
-				}
-			},
-			"R17": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,1.55],
-								[1.55,2.05],
-								[2.05,2.5]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.05],
-								[2.05,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,2]
-					],
-					"cellFrequencies": [67,20,18]
-				}
-			},
-			"R18": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,1.45],
-								[1.45,2.4],
-								[2.4,6.9]
-							]
-						}
-					],
-					"cellIds": ["C1","C5","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1],
-						[2,2]
-					],
-					"cellFrequencies": [17,21,67]
-				}
-			},
-			"R19": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.75],
-								[1.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[0,2],
-						[1,2]
-					],
-					"cellFrequencies": [38,2,31,33,1]
-				}
-			},
-			"R20": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["5","4"],
-								["1","3"],
-								["6"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.35],
-								[5.35,5.85],
-								[5.85,7.15],
-								[7.15,7.7]
-							]
-						}
-					],
-					"cellIds": ["C2","C4","C5","C7","C12"],
-					"cellPartIndexes": [
-						[1,0],
-						[0,1],
-						[1,1],
-						[0,2],
-						[2,3]
-					],
-					"cellFrequencies": [34,10,12,42,7]
-				}
-			},
-			"R21": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.85],
-								[4.85,6.9]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[0,2],
-						[1,2]
-					],
-					"cellFrequencies": [38,1,29,34,3]
-				}
-			},
-			"R22": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,1]
-					],
-					"cellFrequencies": [38,67]
-				}
-			},
-			"R23": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,6.15],
-								[6.15,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [34,5,4,5,19,30,8]
-				}
-			},
-			"R24": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [35,38,32]
-				}
-			},
-			"R25": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [5,34,62,4]
-				}
-			},
-			"R26": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["1","3"],
-								["5","6"],
-								["4"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[1,1],
-						[2,1]
-					],
-					"cellFrequencies": [46,2,19,32,6]
-				}
-			},
-			"R27": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,3.55],
-								[3.55,4.6],
-								[4.6,5.95],
-								[5.95,6.9]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.85],
-								[5.85,7.15],
-								[7.15,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C5","C6","C7","C10","C11","C16"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2],
-						[3,3]
-					],
-					"cellFrequencies": [37,2,5,10,2,7,35,7]
-				}
-			},
-			"R28": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,4.75],
-								[4.75,6.9]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.65],
-								[1.65,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellFrequencies": [65,5,35]
-				}
-			},
-			"R29": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.35],
-								[1.35,2.5]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,5.85],
-								[5.85,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4","C5","C6","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [34,3,2,4,10,3,5,44]
-				}
-			},
-			"R30": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.45],
-								[5.45,7.7]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [34,5,4,62]
-				}
-			},
-			"R31": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1]
-					],
-					"cellFrequencies": [29,38,38]
-				}
-			},
-			"R32": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.85],
-								[5.85,7.7]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [54,13,2,36]
-				}
-			},
-			"R33": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class1",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["setosa"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.85],
-								[2.85,3.35],
-								[3.35,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1],
-						[0,2],
-						[1,2]
-					],
-					"cellFrequencies": [30,32,17,5,21]
-				}
-			},
-			"R34": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class2",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								[""],
-								["versicolor"]
-							],
-							"defaultGroupIndex": 1
-						},
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						}
-					],
-					"cellIds": ["C1","C3","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[0,1],
-						[1,1]
-					],
-					"cellFrequencies": [38,35,32]
-				}
-			},
-			"R35": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["Iris-setosa"],
-								["Iris-virginica"],
-								["Iris-versicolor"]
-							],
-							"defaultGroupIndex": 2
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.95],
-								[2.95,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1]
-					],
-					"cellFrequencies": [1,13,22,37,22,10]
-				}
-			},
-			"R36": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "LowerPetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,3]
-							]
-						},
-						{
-							"variable": "UpperPetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1.5,1.55],
-								[1.55,2.5]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C4"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[1,1]
-					],
-					"cellFrequencies": [38,29,38]
-				}
-			},
-			"R37": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.75],
-								[0.75,1.45],
-								[1.45,2.5]
-							]
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.95],
-								[2.95,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4","C5","C6"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1]
-					],
-					"cellFrequencies": [1,21,14,37,3,29]
-				}
-			},
-			"R38": {
-				"dataGrid": {
-					"isSupervised": false,
-					"dimensions": [
-						{
-							"variable": "SPetalLength",
-							"type": "Categorical",
-							"partitionType": "Value groups",
-							"partition": [
-								["4","3","6"],
-								["1"],
-								["5"]
-							],
-							"defaultGroupIndex": 0
-						},
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.95],
-								[2.95,3.25],
-								[3.25,4.4]
-							]
-						}
-					],
-					"cellIds": ["C1","C2","C3","C4","C5","C6","C7","C8","C9"],
-					"cellPartIndexes": [
-						[0,0],
-						[1,0],
-						[2,0],
-						[0,1],
-						[1,1],
-						[2,1],
-						[0,2],
-						[1,2],
-						[2,2]
-					],
-					"cellFrequencies": [26,1,9,10,15,16,4,22,2]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Unsupervised analysis",
+			"evaluatedVariables": 12,
+			"nativeVariables": 5,
+			"constructedVariables": 7,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 100
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL"
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "Class",
+				"type": "Categorical",
+				"parts": 3,
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805
+			},
+			{
+				"rank": "R02",
+				"name": "Class1",
+				"type": "Categorical",
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 67,
+				"missingNumber": 67,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")"
+			},
+			{
+				"rank": "R03",
+				"name": "Class2",
+				"type": "Categorical",
+				"parts": 2,
+				"values": 2,
+				"mode": "",
+				"modeFrequency": 73,
+				"missingNumber": 73,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")"
+			},
+			{
+				"rank": "R04",
+				"name": "Dummy1",
+				"type": "Numerical",
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R05",
+				"name": "Dummy2",
+				"type": "Numerical",
+				"parts": 1,
+				"values": 105,
+				"min": 0.005121241265,
+				"max": 0.9859650261,
+				"mean": 0.5173966838,
+				"stdDev": 0.2650019122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "Random()"
+			},
+			{
+				"rank": "R06",
+				"name": "LowerPetalLength",
+				"type": "Numerical",
+				"parts": 4,
+				"values": 10,
+				"min": 1,
+				"max": 3,
+				"mean": 2.446666667,
+				"stdDev": 0.7433600251,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "If(LE(PetalLength, 3), PetalLength, 3)"
+			},
+			{
+				"rank": "R07",
+				"name": "PetalLength",
+				"type": "Numerical",
+				"parts": 5,
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805
+			},
+			{
+				"rank": "R08",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"parts": 5,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805
+			},
+			{
+				"rank": "R09",
+				"name": "SPetalLength",
+				"type": "Categorical",
+				"parts": 5,
+				"values": 5,
+				"mode": "1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "AsCategorical(Floor(PetalLength))"
+			},
+			{
+				"rank": "R10",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"parts": 2,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805
+			},
+			{
+				"rank": "R11",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805
+			},
+			{
+				"rank": "R12",
+				"name": "UpperPetalWidth",
+				"type": "Numerical",
+				"parts": 2,
+				"values": 11,
+				"min": 1.5,
+				"max": 2.5,
+				"mean": 1.692380952,
+				"stdDev": 0.2962287527,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 3.17805,
+				"derivationRule": "If(GE(PetalWidth, 1.5), PetalWidth, 1.5)"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						}
+					],
+					"frequencies": [38,35,32]
+				},
+				"inputValues": {
+					"values": ["Iris-setosa","Iris-virginica","Iris-versicolor"],
+					"frequencies": [38,35,32]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"frequencies": [67,38]
+				},
+				"inputValues": {
+					"values": ["","setosa"],
+					"frequencies": [67,38]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"frequencies": [73,32]
+				},
+				"inputValues": {
+					"values": ["","versicolor"],
+					"frequencies": [73,32]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Dummy2",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.00390625,1]
+							]
+						}
+					],
+					"frequencies": [105]
+				},
+				"modlHistograms": {
+					"histogramNumber": 1,
+					"interpretableHistogramNumber": 1,
+					"truncationEpsilon": 0,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0],
+					"intervalNumbers": [1],
+					"peakIntervalNumbers": [0],
+					"spikeIntervalNumbers": [0],
+					"emptyIntervalNumbers": [0],
+					"levels": [0],
+					"informationRates": [0],
+					"histograms": [
+						{
+							"bounds": [0.00390625,1],
+							"frequencies": [105]
+						}
+					]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.95,1.25],
+								[1.25,1.75],
+								[1.75,2.95],
+								[2.95,3.05]
+							]
+						}
+					],
+					"frequencies": [4,32,2,67]
+				},
+				"modlHistograms": {
+					"histogramNumber": 5,
+					"interpretableHistogramNumber": 4,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,2,3,5,28],
+					"intervalNumbers": [1,3,5,4,12],
+					"peakIntervalNumbers": [0,0,1,1,5],
+					"spikeIntervalNumbers": [0,0,0,0,5],
+					"emptyIntervalNumbers": [0,0,1,0,4],
+					"levels": [0,0.01356921313,0.04765003824,0.06838973265,0.6853858332],
+					"informationRates": [0,19.84100917,69.67425722,100,1002.176506],
+					"histograms": [
+						{
+							"bounds": [0.95,3.05],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [0.95,1.65,2.45,3.05],
+							"frequencies": [32,6,67]
+						},
+						{
+							"bounds": [0.95,1.25,1.65,2.05,2.85,3.05],
+							"frequencies": [4,28,6,0,67]
+						},
+						{
+							"bounds": [0.95,1.25,1.75,2.95,3.05],
+							"frequencies": [4,32,2,67]
+						},
+						{
+							"bounds": [0.9375,1.299999997,1.300000012,1.399999991,1.400000006,1.499999985,1.5,1.599999994,1.600000009,1.699999988,1.700000003,2.999999985,3],
+							"frequencies": [4,4,0,9,0,10,0,5,0,4,2,67]
+						}
+					]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.95,1.25],
+								[1.25,1.75],
+								[1.75,3.85],
+								[3.85,6.15],
+								[6.15,6.95]
+							]
+						}
+					],
+					"frequencies": [4,32,7,59,3]
+				},
+				"modlHistograms": {
+					"histogramNumber": 5,
+					"interpretableHistogramNumber": 4,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,3,5,7,29],
+					"intervalNumbers": [1,3,7,5,41],
+					"peakIntervalNumbers": [0,0,2,2,20],
+					"spikeIntervalNumbers": [0,0,0,0,20],
+					"emptyIntervalNumbers": [0,0,0,0,14],
+					"levels": [0,0.005142168327,0.006968300144,0.00863976387,0.2871300831],
+					"informationRates": [0,59.51746372,80.6538263,100,3323.355678],
+					"histograms": [
+						{
+							"bounds": [0.95,6.95],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [0.95,1.65,3.25,6.95],
+							"frequencies": [32,7,66]
+						},
+						{
+							"bounds": [0.95,1.25,1.65,2.05,3.25,4.45,5.65,6.95],
+							"frequencies": [4,28,6,1,17,37,12]
+						},
+						{
+							"bounds": [0.95,1.25,1.75,3.85,6.15,6.95],
+							"frequencies": [4,32,7,59,3]
+						},
+						{
+							"bounds": [0.875,1.299999997,1.300000012,1.399999991,1.400000006,1.499999985,1.5,1.599999994,1.600000009,1.699999988,1.700000003,1.899999991,1.900000006,3.499999985,3.5,3.899999991,3.900000006,3.999999985,4,4.099999994,4.100000009,4.499999985,4.5,4.699999988,4.700000003,4.799999997,4.800000012,4.899999991,4.900000006,4.999999985,5,5.099999994,5.100000009,5.499999985,5.5,5.599999994,5.600000009,6.099999994,6.100000009,6.699999988,6.700000003,7],
+							"frequencies": [4,4,0,9,0,10,0,5,0,4,0,2,2,2,1,3,0,4,0,3,3,5,0,4,0,3,0,3,0,3,0,5,5,3,0,6,6,3,0,2,1]
+						}
+					]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.05,0.15],
+								[0.15,0.25],
+								[0.25,0.45],
+								[0.45,0.85],
+								[0.85,2.55]
+							]
+						}
+					],
+					"frequencies": [6,20,11,1,67]
+				},
+				"modlHistograms": {
+					"histogramNumber": 5,
+					"interpretableHistogramNumber": 4,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,1,2,3,30],
+					"intervalNumbers": [1,2,2,5,28],
+					"peakIntervalNumbers": [0,0,0,1,13],
+					"spikeIntervalNumbers": [0,0,0,1,13],
+					"emptyIntervalNumbers": [0,0,0,0,9],
+					"levels": [0,0.003138504791,0.003358793296,0.004913113283,0.5003837405],
+					"informationRates": [0,63.88016335,68.36384798,100,10184.65709],
+					"histograms": [
+						{
+							"bounds": [0.05,2.55],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [0.05,0.45,2.55],
+							"frequencies": [37,68]
+						},
+						{
+							"bounds": [0.05,0.25,2.55],
+							"frequencies": [26,79]
+						},
+						{
+							"bounds": [0.05,0.15,0.25,0.45,0.85,2.55],
+							"frequencies": [6,20,11,1,67]
+						},
+						{
+							"bounds": [0.09999999963,0.1000000001,0.1999999993,0.2000000002,0.2999999989,0.3000000007,0.3999999985,0.4000000004,0.9999999963,1,1.299999997,1.300000004,1.399999999,1.400000006,1.499999993,1.5,1.599999994,1.600000001,1.799999997,1.800000004,1.999999993,2,2.099999994,2.100000009,2.199999988,2.200000003,2.299999997,2.300000012,2.5],
+							"frequencies": [6,0,20,0,5,0,6,1,5,4,9,0,6,0,5,0,3,1,9,2,5,0,4,0,3,0,8,3]
+						}
+					]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						}
+					],
+					"frequencies": [38,27,25,8,7]
+				},
+				"inputValues": {
+					"values": ["1","5","4","3","6"],
+					"frequencies": [38,27,25,8,7]
+				}
+			},
+			"R10": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.25,7],
+								[7,7.75]
+							]
+						}
+					],
+					"frequencies": [97,8]
+				},
+				"modlHistograms": {
+					"histogramNumber": 2,
+					"interpretableHistogramNumber": 2,
+					"truncationEpsilon": 0,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,2],
+					"intervalNumbers": [1,2],
+					"peakIntervalNumbers": [0,0],
+					"spikeIntervalNumbers": [0,0],
+					"emptyIntervalNumbers": [0,0],
+					"levels": [0,0.0003815098758],
+					"informationRates": [0,100],
+					"histograms": [
+						{
+							"bounds": [4.25,7.75],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [4.25,7,7.75],
+							"frequencies": [97,8]
+						}
+					]
+				}
+			},
+			"R11": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.95,2.45],
+								[2.45,3.25],
+								[3.25,4.45]
+							]
+						}
+					],
+					"frequencies": [5,72,28]
+				},
+				"modlHistograms": {
+					"histogramNumber": 4,
+					"interpretableHistogramNumber": 3,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,1,2,29],
+					"intervalNumbers": [1,2,3,23],
+					"peakIntervalNumbers": [0,0,1,11],
+					"spikeIntervalNumbers": [0,0,0,11],
+					"emptyIntervalNumbers": [0,0,0,8],
+					"levels": [0,0.002413792626,0.009713296272,0.471063928],
+					"informationRates": [0,24.85039639,100,4849.681455],
+					"histograms": [
+						{
+							"bounds": [1.95,4.45],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [1.95,3.25,4.45],
+							"frequencies": [77,28]
+						},
+						{
+							"bounds": [1.95,2.45,3.25,4.45],
+							"frequencies": [5,72,28]
+						},
+						{
+							"bounds": [1.9921875,2.499999985,2.5,2.599999994,2.600000009,2.699999988,2.700000003,2.799999997,2.800000012,2.899999991,2.900000006,2.999999985,3,3.099999994,3.100000009,3.199999988,3.200000003,3.399999991,3.400000006,3.499999985,3.5,3.799999997,3.800000012,4.40625],
+							"frequencies": [5,6,0,3,0,5,0,11,0,6,0,20,0,10,0,11,2,10,0,3,3,4,6]
+						}
+					]
+				}
+			},
+			"R12": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.45,1.55],
+								[1.55,2.55]
+							]
+						}
+					],
+					"frequencies": [67,38]
+				},
+				"modlHistograms": {
+					"histogramNumber": 4,
+					"interpretableHistogramNumber": 3,
+					"truncationEpsilon": 0.1,
+					"removedSingularIntervalNumber": 0,
+					"granularities": [0,1,5,28],
+					"intervalNumbers": [1,2,2,14],
+					"peakIntervalNumbers": [0,0,0,6],
+					"spikeIntervalNumbers": [0,0,0,6],
+					"emptyIntervalNumbers": [0,0,0,4],
+					"levels": [0,0.02500256671,0.03972305577,0.6316260053],
+					"informationRates": [0,62.94220379,100,1590.074059],
+					"histograms": [
+						{
+							"bounds": [1.45,2.55],
+							"frequencies": [105]
+						},
+						{
+							"bounds": [1.45,1.65,2.55],
+							"frequencies": [70,35]
+						},
+						{
+							"bounds": [1.45,1.55,2.55],
+							"frequencies": [67,38]
+						},
+						{
+							"bounds": [1.499999985,1.5,1.599999994,1.600000009,1.799999997,1.800000012,1.999999985,2,2.099999994,2.100000009,2.199999988,2.200000003,2.299999997,2.300000012,2.5],
+							"frequencies": [67,0,3,1,9,2,5,0,4,0,3,0,8,3]
+						}
+					]
+				}
+			}
+		}
+	},
+	"bivariatePreparationReport": {
+		"reportType": "BivariatePreparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					4,
+					8
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Unsupervised analysis",
+			"evaluatedVariablePairs": 55,
+			"informativeVariablePairs": 38
+		},
+		"variablesPairsStatistics": [
+			{
+				"rank": "R01",
+				"name1": "Class",
+				"name2": "Class1",
+				"level": 0.286471,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 18.9311,
+				"dataCost": 110.25
+			},
+			{
+				"rank": "R02",
+				"name1": "Class",
+				"name2": "Class2",
+				"level": 0.270234,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 19.0156,
+				"dataCost": 110.25
+			},
+			{
+				"rank": "R03",
+				"name1": "Class",
+				"name2": "SPetalLength",
+				"level": 0.258511,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 41.7647,
+				"dataCost": 157.188
+			},
+			{
+				"rank": "R04",
+				"name1": "Class1",
+				"name2": "SPetalLength",
+				"level": 0.231831,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 27.2099,
+				"dataCost": 142.253
+			},
+			{
+				"rank": "R05",
+				"name1": "PetalLength",
+				"name2": "SPetalLength",
+				"level": 0.151582,
+				"variables": 2,
+				"parts1": 5,
+				"parts2": 5,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 69.091,
+				"dataCost": 386.913
+			},
+			{
+				"rank": "R06",
+				"name1": "Class2",
+				"name2": "SPetalLength",
+				"level": 0.142436,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 27.7273,
+				"dataCost": 158.704
+			},
+			{
+				"rank": "R07",
+				"name1": "Class",
+				"name2": "PetalWidth",
+				"level": 0.14197,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 31.1679,
+				"dataCost": 396.708
+			},
+			{
+				"rank": "R08",
+				"name1": "Class",
+				"name2": "PetalLength",
+				"level": 0.136908,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 31.1679,
+				"dataCost": 399.272
+			},
+			{
+				"rank": "R09",
+				"name1": "Class1",
+				"name2": "LowerPetalLength",
+				"level": 0.111506,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 386.913
+			},
+			{
+				"rank": "R10",
+				"name1": "Class1",
+				"name2": "PetalLength",
+				"level": 0.111506,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 386.913
+			},
+			{
+				"rank": "R11",
+				"name1": "Class1",
+				"name2": "PetalWidth",
+				"level": 0.111506,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 386.913
+			},
+			{
+				"rank": "R12",
+				"name1": "PetalWidth",
+				"name2": "SPetalLength",
+				"level": 0.109807,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 40.5555,
+				"dataCost": 438.232
+			},
+			{
+				"rank": "R13",
+				"name1": "Class",
+				"name2": "LowerPetalLength",
+				"level": 0.0982915,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 19.0436,
+				"dataCost": 430.955
+			},
+			{
+				"rank": "R14",
+				"name1": "LowerPetalLength",
+				"name2": "SPetalLength",
+				"level": 0.0887331,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 27.3225,
+				"dataCost": 462.959
+			},
+			{
+				"rank": "R15",
+				"name1": "PetalLength",
+				"name2": "PetalWidth",
+				"level": 0.0785935,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 29.9587,
+				"dataCost": 676.972
+			},
+			{
+				"rank": "R16",
+				"name1": "Class",
+				"name2": "UpperPetalWidth",
+				"level": 0.0721164,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 19.0868,
+				"dataCost": 444.17
+			},
+			{
+				"rank": "R17",
+				"name1": "PetalWidth",
+				"name2": "UpperPetalWidth",
+				"level": 0.0703191,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 29.9587,
+				"dataCost": 683.381
+			},
+			{
+				"rank": "R18",
+				"name1": "LowerPetalLength",
+				"name2": "PetalLength",
+				"level": 0.0701201,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 29.9587,
+				"dataCost": 683.535
+			},
+			{
+				"rank": "R19",
+				"name1": "Class2",
+				"name2": "PetalWidth",
+				"level": 0.0662843,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 20.8147,
+				"dataCost": 396.708
+			},
+			{
+				"rank": "R20",
+				"name1": "SPetalLength",
+				"name2": "SepalLength",
+				"level": 0.0654694,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 4,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 49.4973,
+				"dataCost": 453.472
+			},
+			{
+				"rank": "R21",
+				"name1": "Class2",
+				"name2": "PetalLength",
+				"level": 0.0606416,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 20.8147,
+				"dataCost": 399.272
+			},
+			{
+				"rank": "R22",
+				"name1": "LowerPetalLength",
+				"name2": "PetalWidth",
+				"level": 0.0598398,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 2,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.838,
+				"dataCost": 707.618
+			},
+			{
+				"rank": "R23",
+				"name1": "Class",
+				"name2": "SepalLength",
+				"level": 0.059526,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 7,
+				"constructionCost": 6.71557,
+				"preparationCost": 31.1679,
+				"dataCost": 438.466
+			},
+			{
+				"rank": "R24",
+				"name1": "Class1",
+				"name2": "Class2",
+				"level": 0.0559199,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.6129,
+				"dataCost": 110.25
+			},
+			{
+				"rank": "R25",
+				"name1": "Class1",
+				"name2": "SepalLength",
+				"level": 0.0531576,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 413.664
+			},
+			{
+				"rank": "R26",
+				"name1": "SPetalLength",
+				"name2": "UpperPetalWidth",
+				"level": 0.0466723,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 2,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 31.8478,
+				"dataCost": 481.373
+			},
+			{
+				"rank": "R27",
+				"name1": "PetalLength",
+				"name2": "SepalLength",
+				"level": 0.0407398,
+				"variables": 2,
+				"parts1": 4,
+				"parts2": 4,
+				"cells": 8,
+				"constructionCost": 6.71557,
+				"preparationCost": 47.7303,
+				"dataCost": 688.519
+			},
+			{
+				"rank": "R28",
+				"name1": "PetalLength",
+				"name2": "UpperPetalWidth",
+				"level": 0.0401281,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.838,
+				"dataCost": 722.885
+			},
+			{
+				"rank": "R29",
+				"name1": "PetalWidth",
+				"name2": "SepalLength",
+				"level": 0.0303985,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 8,
+				"constructionCost": 6.71557,
+				"preparationCost": 29.9587,
+				"dataCost": 714.3
+			},
+			{
+				"rank": "R30",
+				"name1": "LowerPetalLength",
+				"name2": "SepalLength",
+				"level": 0.0253003,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.838,
+				"dataCost": 734.369
+			},
+			{
+				"rank": "R31",
+				"name1": "Class1",
+				"name2": "UpperPetalWidth",
+				"level": 0.0166012,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 430.424
+			},
+			{
+				"rank": "R32",
+				"name1": "SepalLength",
+				"name2": "UpperPetalWidth",
+				"level": 0.0164148,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 4,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.838,
+				"dataCost": 741.251
+			},
+			{
+				"rank": "R33",
+				"name1": "Class1",
+				"name2": "SepalWidth",
+				"level": 0.00749643,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 3,
+				"cells": 5,
+				"constructionCost": 6.71557,
+				"preparationCost": 20.8147,
+				"dataCost": 427.509
+			},
+			{
+				"rank": "R34",
+				"name1": "Class2",
+				"name2": "LowerPetalLength",
+				"level": 0.0065114,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.7255,
+				"dataCost": 430.955
+			},
+			{
+				"rank": "R35",
+				"name1": "Class",
+				"name2": "SepalWidth",
+				"level": 0.00543684,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 2,
+				"cells": 6,
+				"constructionCost": 6.71557,
+				"preparationCost": 22.1365,
+				"dataCost": 474.893
+			},
+			{
+				"rank": "R36",
+				"name1": "LowerPetalLength",
+				"name2": "UpperPetalWidth",
+				"level": 0.00366071,
+				"variables": 2,
+				"parts1": 2,
+				"parts2": 2,
+				"cells": 3,
+				"constructionCost": 6.71557,
+				"preparationCost": 13.838,
+				"dataCost": 751.129
+			},
+			{
+				"rank": "R37",
+				"name1": "PetalWidth",
+				"name2": "SepalWidth",
+				"level": 0.00221737,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 2,
+				"cells": 6,
+				"constructionCost": 6.71557,
+				"preparationCost": 20.9273,
+				"dataCost": 745.158
+			},
+			{
+				"rank": "R38",
+				"name1": "SPetalLength",
+				"name2": "SepalWidth",
+				"level": 0.00143264,
+				"variables": 2,
+				"parts1": 3,
+				"parts2": 3,
+				"cells": 9,
+				"constructionCost": 6.71557,
+				"preparationCost": 40.2319,
+				"dataCost": 497.662
+			},
+			{
+				"rank": "R39",
+				"name1": "Class",
+				"name2": "Dummy2",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 8.64312,
+				"dataCost": 497.163
+			},
+			{
+				"rank": "R40",
+				"name1": "Class1",
+				"name2": "Dummy2",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 4.66344,
+				"dataCost": 453.12
+			},
+			{
+				"rank": "R41",
+				"name1": "Class2",
+				"name2": "Dummy2",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 4.66344,
+				"dataCost": 448.998
+			},
+			{
+				"rank": "R42",
+				"name1": "Class2",
+				"name2": "SepalLength",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 4.66344,
+				"dataCost": 448.998
+			},
+			{
+				"rank": "R43",
+				"name1": "Class2",
+				"name2": "SepalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 4.66344,
+				"dataCost": 448.998
+			},
+			{
+				"rank": "R44",
+				"name1": "Class2",
+				"name2": "UpperPetalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 4.66344,
+				"dataCost": 448.998
+			},
+			{
+				"rank": "R45",
+				"name1": "Dummy2",
+				"name2": "LowerPetalLength",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R46",
+				"name1": "Dummy2",
+				"name2": "PetalLength",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R47",
+				"name1": "Dummy2",
+				"name2": "PetalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R48",
+				"name1": "Dummy2",
+				"name2": "SPetalLength",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 15.5317,
+				"dataCost": 529.166
+			},
+			{
+				"rank": "R49",
+				"name1": "Dummy2",
+				"name2": "SepalLength",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R50",
+				"name1": "Dummy2",
+				"name2": "SepalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R51",
+				"name1": "Dummy2",
+				"name2": "UpperPetalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R52",
+				"name1": "LowerPetalLength",
+				"name2": "SepalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R53",
+				"name1": "PetalLength",
+				"name2": "SepalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R54",
+				"name1": "SepalLength",
+				"name2": "SepalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			},
+			{
+				"rank": "R55",
+				"name1": "SepalWidth",
+				"name2": "UpperPetalWidth",
+				"level": 0,
+				"variables": 0,
+				"parts1": 1,
+				"parts2": 1,
+				"cells": 1,
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 773.825
+			}
+		],
+		"variablesPairsDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-virginica","Iris-versicolor"],
+								["Iris-setosa"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"cellIds": ["C1","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1]
+					],
+					"cellFrequencies": [67,38]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa","Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"cellIds": ["C1","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1]
+					],
+					"cellFrequencies": [73,32]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"cellIds": ["C1","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [38,32,2,3,30]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["5","4","3","6"],
+								["1"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"cellIds": ["C1","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1]
+					],
+					"cellFrequencies": [67,38]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3.95],
+								[3.95,4.95],
+								[4.95,5.95],
+								[5.95,6.9]
+							]
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5"],
+								["4"],
+								["3"],
+								["6"]
+							],
+							"defaultGroupIndex": 4
+						}
+					],
+					"cellIds": ["C1","C9","C13","C17","C25"],
+					"cellPartIndexes": [
+						[0,0],
+						[3,1],
+						[2,2],
+						[1,3],
+						[4,4]
+					],
+					"cellFrequencies": [38,27,25,8,7]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1","5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [70,2,3,30]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [38,2,31,33,1]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"cellIds": ["C1","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [38,1,29,34,3]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						}
+					],
+					"cellIds": ["C2","C3"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [38,67]
+				}
+			},
+			"R10": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"cellIds": ["C2","C3"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [38,67]
+				}
+			},
+			"R11": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,2.5]
+							]
+						}
+					],
+					"cellIds": ["C2","C3"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [38,67]
+				}
+			},
+			"R12": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.65],
+								[1.65,2.5]
+							]
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1"],
+								["5","6"],
+								["4","3"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"cellIds": ["C1","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [38,3,31,29,4]
+				}
+			},
+			"R13": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-virginica","Iris-versicolor"],
+								["Iris-setosa"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						}
+					],
+					"cellIds": ["C2","C3"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [38,67]
+				}
+			},
+			"R14": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["5","4","3","6"],
+								["1"]
+							],
+							"defaultGroupIndex": 0
+						}
+					],
+					"cellIds": ["C2","C3"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [67,38]
+				}
+			},
+			"R15": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.65],
+								[1.65,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C5","C6","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,1],
+						[2,2]
+					],
+					"cellFrequencies": [38,27,5,35]
+				}
+			},
+			"R16": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa","Iris-versicolor"],
+								["Iris-virginica"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.75],
+								[1.75,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [69,2,1,33]
+				}
+			},
+			"R17": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,1.55],
+								[1.55,2.05],
+								[2.05,2.5]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.05],
+								[2.05,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C5","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,2]
+					],
+					"cellFrequencies": [67,20,18]
+				}
+			},
+			"R18": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,1.45],
+								[1.45,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,1.45],
+								[1.45,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"cellIds": ["C1","C5","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1],
+						[2,2]
+					],
+					"cellFrequencies": [17,21,67]
+				}
+			},
+			"R19": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.75],
+								[1.75,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C3","C4","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1],
+						[0,2],
+						[1,2]
+					],
+					"cellFrequencies": [38,2,31,33,1]
+				}
+			},
+			"R20": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["5","4"],
+								["1","3"],
+								["6"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.35],
+								[5.35,5.85],
+								[5.85,7.15],
+								[7.15,7.7]
+							]
+						}
+					],
+					"cellIds": ["C2","C4","C5","C7","C12"],
+					"cellPartIndexes": [
+						[1,0],
+						[0,1],
+						[1,1],
+						[0,2],
+						[2,3]
+					],
+					"cellFrequencies": [34,10,12,42,7]
+				}
+			},
+			"R21": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"cellIds": ["C1","C3","C4","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1],
+						[0,2],
+						[1,2]
+					],
+					"cellFrequencies": [38,1,29,34,3]
+				}
+			},
+			"R22": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,1]
+					],
+					"cellFrequencies": [38,67]
+				}
+			},
+			"R23": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						}
+					],
+					"cellIds": ["C1","C3","C4","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [34,5,4,5,19,30,8]
+				}
+			},
+			"R24": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [35,38,32]
+				}
+			},
+			"R25": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,7.7]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [5,34,62,4]
+				}
+			},
+			"R26": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["1","3"],
+								["5","6"],
+								["4"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[1,1],
+						[2,1]
+					],
+					"cellFrequencies": [46,2,19,32,6]
+				}
+			},
+			"R27": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.55],
+								[3.55,4.6],
+								[4.6,5.95],
+								[5.95,6.9]
+							]
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,5.85],
+								[5.85,7.15],
+								[7.15,7.7]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C5","C6","C7","C10","C11","C16"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2],
+						[3,3]
+					],
+					"cellFrequencies": [37,2,5,10,2,7,35,7]
+				}
+			},
+			"R28": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,4.75],
+								[4.75,6.9]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.65],
+								[1.65,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellFrequencies": [65,5,35]
+				}
+			},
+			"R29": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.35],
+								[1.35,2.5]
+							]
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,5.85],
+								[5.85,7.7]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4","C5","C6","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [34,3,2,4,10,3,5,44]
+				}
+			},
+			"R30": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,7.7]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [34,5,4,62]
+				}
+			},
+			"R31": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1]
+					],
+					"cellFrequencies": [29,38,38]
+				}
+			},
+			"R32": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.85],
+								[5.85,7.7]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [54,13,2,36]
+				}
+			},
+			"R33": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["setosa"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						}
+					],
+					"cellIds": ["C1","C3","C4","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1],
+						[0,2],
+						[1,2]
+					],
+					"cellFrequencies": [30,32,17,5,21]
+				}
+			},
+			"R34": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								[""],
+								["versicolor"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						}
+					],
+					"cellIds": ["C1","C3","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[0,1],
+						[1,1]
+					],
+					"cellFrequencies": [38,35,32]
+				}
+			},
+			"R35": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.95],
+								[2.95,4.4]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1]
+					],
+					"cellFrequencies": [1,13,22,37,22,10]
+				}
+			},
+			"R36": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "LowerPetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,3]
+							]
+						},
+						{
+							"variable": "UpperPetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1.5,1.55],
+								[1.55,2.5]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C4"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[1,1]
+					],
+					"cellFrequencies": [38,29,38]
+				}
+			},
+			"R37": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.45],
+								[1.45,2.5]
+							]
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.95],
+								[2.95,4.4]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4","C5","C6"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1]
+					],
+					"cellFrequencies": [1,21,14,37,3,29]
+				}
+			},
+			"R38": {
+				"dataGrid": {
+					"isSupervised": false,
+					"dimensions": [
+						{
+							"variable": "SPetalLength",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["4","3","6"],
+								["1"],
+								["5"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.95],
+								[2.95,3.25],
+								[3.25,4.4]
+							]
+						}
+					],
+					"cellIds": ["C1","C2","C3","C4","C5","C6","C7","C8","C9"],
+					"cellPartIndexes": [
+						[0,0],
+						[1,0],
+						[2,0],
+						[0,1],
+						[1,1],
+						[2,1],
+						[0,2],
+						[1,2],
+						[2,2]
+					],
+					"cellFrequencies": [26,1,9,10,15,16,4,22,2]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/LargeSpiral.khj b/tests/resources/analysis_results/ref_json_reports/LargeSpiral.khj
deleted file mode 100644
index def9b538..00000000
--- a/tests/resources/analysis_results/ref_json_reports/LargeSpiral.khj
+++ /dev/null
@@ -1,1960 +0,0 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"modelingReport": {
-		"reportType": "Modeling",
-		"summary": {
-			"dictionary": "Spiral",
-			"database": ".\/Spiral10000.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "1"
-		},
-		"trainedPredictors": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Data Grid",
-				"name": "Data Grid",
-				"variables": 9
-			}
-		],
-		"trainedPredictorsDetails": {
-			"R1": {
-				"level": 0.613792,
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z4",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-17.02891547,-9.41166],
-								[-9.41166,-7.0724],
-								[-7.0724,4.555],
-								[4.555,6.9302],
-								[6.9302,9.7051],
-								[9.7051,14.569],
-								[14.569,16.946],
-								[16.946,19.4818361]
-							]
-						},
-						{
-							"variable": "Z1",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-31.98646564,-27.642],
-								[-27.642,-23.3211],
-								[-23.3211,-18.4473],
-								[-18.4473,-9.5533],
-								[-9.5533,5.540107],
-								[5.540107,18.6002],
-								[18.6002,23.42076],
-								[23.42076,27.54296154]
-							]
-						},
-						{
-							"variable": "Z2",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-29.88621157,-25.344],
-								[-25.344,-21.06],
-								[-21.06,-16.6208],
-								[-16.6208,-7.502],
-								[-7.502,12.1459],
-								[12.1459,16.716],
-								[16.716,20.8678],
-								[20.8678,25.5616],
-								[25.5616,29.6144],
-								[29.6144,34.36234837]
-							]
-						},
-						{
-							"variable": "Z7",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-16.48983359,-9.47606],
-								[-9.47606,-7.217],
-								[-7.217,4.955],
-								[4.955,7.0929],
-								[7.0929,11.9428],
-								[11.9428,16.03564531]
-							]
-						},
-						{
-							"variable": "Z6",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-16.3511413,-8.909269],
-								[-8.909269,-6.4254],
-								[-6.4254,8.9096],
-								[8.9096,16.3944],
-								[16.3944,18.8869841]
-							]
-						},
-						{
-							"variable": "Y",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-23.44425663,-16.9374],
-								[-16.9374,-14.196],
-								[-14.196,-7.8177],
-								[-7.8177,-7.2095],
-								[-7.2095,4.75075],
-								[4.75075,14.11408],
-								[14.11408,17.206],
-								[17.206,20.11330762]
-							]
-						},
-						{
-							"variable": "Z5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-18.32264728,-15.815],
-								[-15.815,-8.4934],
-								[-8.4934,-0.2584],
-								[-0.2584,5.9713],
-								[5.9713,8.31087],
-								[8.31087,13.347],
-								[13.347,15.82629912]
-							]
-						},
-						{
-							"variable": "X",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-21.91698198,-18.746],
-								[-18.746,-6.2953],
-								[-6.2953,3.2208],
-								[3.2208,15.432],
-								[15.432,25.02015277]
-							]
-						},
-						{
-							"variable": "Z3",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-17.60767858,-12.4258],
-								[-12.4258,9.9354],
-								[9.9354,18.40325434]
-							]
-						},
-						{
-							"variable": "Target",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"cellIds": ["C199873","C199881","C199937","C219081","C238217","C238273","C238281","C387921","C387929","C391761","C391769","C391817","C391825","C391833","C391881","C391889","C403225","C403289","C407129","C556825","C1086979","C1102339","C1255938","C1255939","C1255947","C1259779","C1259787","C1275073","C1275081","C1275137","C1275138","C1275145","C1275146","C1275147","C1275154","C1294281","C1313481","C1313489","C1313490","C1463129","C1463193","C1467025","C1467033","C1467081","C1467089","C1467097","C5932825","C6462979","C6462987","C6463043","C6463051","C6616579","C6616587","C6631947","C6631955","C6635787","C6635795","C6636435","C6651147","C6651154","C6651155","C6651795","C6651803","C6670354","C6670355","C6689554","C6805403","C6806043","C6823955","C6824603","C6825243","C6839129","C6839193","C6839833","C6843033","C6843089","C6843090","C6843097","C6843098","C6843154","C6843162","C6843163","C6843673","C6843737","C6843738","C6843739","C6843802","C6843803","C6844377","C6844378","C6844379","C6844385","C6844386","C6844387","C6844443","C6844451","C6858329","C6993441","C6994081","C6994145","C6997985","C6997986","C6997987","C7008025","C7008089","C7008665","C7008673","C7008729","C7008737","C7009313","C7009377","C7009441","C7009442","C7009506","C7011929","C7012569","C7012577","C7012633","C7012641","C7013217","C7013281","C7013282","C7013345","C7013346","C7013347","C7017186","C7017187","C7162913","C7162977","C7162986","C7163041","C7163042","C7163050","C7182113","C7182177","C7316650","C7335713","C7335721","C7335777","C7335785","C7335786","C7354921","C7354985","C7354986","C7538243","C7538251","C7538307","C7538315","C7538891","C7538955","C7538963","C7538964","C7539020","C7542795","C7542859","C7542860","C7542868","C7543508","C7543509","C7691787","C7691851","C7692435","C7692491","C7692499","C7692563","C7693139","C7693147","C7693203","C7693204","C7693211","C7693212","C7693268","C7693276","C7693277","C7697109","C7711635","C7711699","C7712283","C7712339","C7712347","C7712348","C7712412","C7726995","C7727003","C7727643","C7730835","C7730843","C7731483","C7731547","C7731548","C7731612","C7881243","C7881251","C7881252","C7881307","C7881315","C7881316","C7885147","C7885156","C7900443","C7900451","C7919643","C7919651","C8073187","C8073251","C8073259","C8088546","C8088547","C8088555","C8092387","C8092395","C8092451","C8092459","C8238242","C8238250","C8238251","C8238306","C8238307","C8238315","C8242147","C8242155","C8242219","C8242859","C8245995","C8246059","C8246699","C8391850","C8391851","C8391915","C8392555","C8395755","C8396395","C8396459","C8410986","C8411050","C8411051","C8411115","C8411691","C8411755","C8411763","C8412403","C8430186","C8430187","C8430251","C8430891","C8430955","C8583786","C8583787","C8584427","C8584491","C8584499","C8584563","C8585139","C8585203","C8618773","C8618781","C8618782","C8768412","C8768477","C8768478","C8768542","C8768550","C8768614","C8772317","C8772373","C8772381","C8772382","C8772390","C8772446","C8772454","C8772455","C8787612","C8787613","C8787621","C8787677","C8787685","C8787686","C8787750","C8787814","C8806812","C8806820","C8806821","C8941286","C8941350","C8941414","C8941415","C8942055","C8956452","C8956516","C8956517","C8956581","C8956582","C8960356","C8960357","C8960420","C8960421","C8960422","C8960485","C8960486","C8960550","C8961062","C8961126","C8961134","C8961190","C8961191","C8961774","C8975651","C8975652","C8975716","C8975717","C8975781","C8975782","C8976422","C8976430","C8976494","C8980262","C8980334","C8980974","C8994851","C8994852","C8994853","C8994916","C8994917","C8994981","C8995557","C8995565","C8995621","C8995622","C8995630","C8996270","C8996334","C9000174","C9148451","C9148452","C9148453","C9148459","C9148460","C9148461","C9149099","C9149100","C9149101","C9149165","C9149166","C9149230","C9149740","C9149741","C9149805","C9149806","C9149870","C9167659","C9168299","C9168300","C9168940","C9303340","C9303341","C9318059","C9321259","C9321899","C9322539","C9322540","C9322541","C9467755","C9468395","C9468403","C9471595","C9471659","C9472235","C9472243","C9472299","C9472307","C9475499","C9476139","C9476140","C9476147","C9476148","C9486955","C9487595","C9487603","C9487667","C9491507","C9641203","C9641211","C9660403","C9660411","C9847655","C9848295","C10017255","C10017256","C10021095","C10021096","C10036390","C10036391","C10036455","C10036974","C10037031","C10037038","C10037039","C10037095","C14372334","C14525741","C14525742","C14525806","C14525870","C14679341","C14679342","C14679349","C14679350","C14698540","C14698541","C14698549","C14698550","C14699190","C14848307","C14848315","C14848316","C14848956","C14852140","C14852148","C14852149","C14852156","C14852789","C14852796","C14852797","C14863667","C14867507","C14867515","C15002556","C15002557","C15017211","C15017275","C15017915","C15021115","C15021755","C15021756","C15036411","C15393256","C15393896","C15412974","C15412975","C15413039","C15413040","C15413095","C15413096","C15413103","C15413104","C15413744","C15432174","C15432175","C15432239","C15432240","C15447534","C15451374","C15451375","C15451439","C15586544","C15601006","C15601014","C15601070","C15601071","C15601134","C15601135","C15601654","C15601710","C15601711","C15601718","C15601719","C15601775","C15601776","C15601783","C15601784","C15601792","C15601840","C15601848","C15601856","C15604975","C15605039","C15605040","C15605680","C15605688","C15605744","C15754550","C15754614","C15755190","C15755254","C15755318","C15773750","C15774390","C15774454","C15927990","C15927997","C15927998","C15928054"],
-					"cellPartIndexes": [
-						[0,0,3,0,2,2,1,0,0],
-						[0,1,3,0,2,2,1,0,0],
-						[0,0,4,0,2,2,1,0,0],
-						[0,1,3,0,2,3,1,0,0],
-						[0,1,2,0,2,4,1,0,0],
-						[0,0,3,0,2,4,1,0,0],
-						[0,1,3,0,2,4,1,0,0],
-						[0,2,1,0,1,4,2,0,0],
-						[0,3,1,0,1,4,2,0,0],
-						[0,2,1,0,2,4,2,0,0],
-						[0,3,1,0,2,4,2,0,0],
-						[0,1,2,0,2,4,2,0,0],
-						[0,2,2,0,2,4,2,0,0],
-						[0,3,2,0,2,4,2,0,0],
-						[0,1,3,0,2,4,2,0,0],
-						[0,2,3,0,2,4,2,0,0],
-						[0,3,0,0,0,5,2,0,0],
-						[0,3,1,0,0,5,2,0,0],
-						[0,3,1,0,1,5,2,0,0],
-						[0,3,0,0,0,5,3,0,0],
-						[2,0,4,0,3,0,0,1,0],
-						[2,0,4,0,2,1,0,1,0],
-						[1,0,4,0,2,1,1,1,0],
-						[2,0,4,0,2,1,1,1,0],
-						[2,1,4,0,2,1,1,1,0],
-						[2,0,4,0,3,1,1,1,0],
-						[2,1,4,0,3,1,1,1,0],
-						[0,0,3,0,2,2,1,1,0],
-						[0,1,3,0,2,2,1,1,0],
-						[0,0,4,0,2,2,1,1,0],
-						[1,0,4,0,2,2,1,1,0],
-						[0,1,4,0,2,2,1,1,0],
-						[1,1,4,0,2,2,1,1,0],
-						[2,1,4,0,2,2,1,1,0],
-						[1,2,4,0,2,2,1,1,0],
-						[0,1,3,0,2,3,1,1,0],
-						[0,1,3,0,2,4,1,1,0],
-						[0,2,3,0,2,4,1,1,0],
-						[1,2,3,0,2,4,1,1,0],
-						[0,3,1,0,1,4,2,1,0],
-						[0,3,2,0,1,4,2,1,0],
-						[0,2,2,0,2,4,2,1,0],
-						[0,3,2,0,2,4,2,1,0],
-						[0,1,3,0,2,4,2,1,0],
-						[0,2,3,0,2,4,2,1,0],
-						[0,3,3,0,2,4,2,1,0],
-						[0,3,0,0,0,5,3,0,1],
-						[2,0,4,0,3,0,0,1,1],
-						[2,1,4,0,3,0,0,1,1],
-						[2,0,5,0,3,0,0,1,1],
-						[2,1,5,0,3,0,0,1,1],
-						[2,0,4,0,3,0,1,1,1],
-						[2,1,4,0,3,0,1,1,1],
-						[2,1,4,0,2,1,1,1,1],
-						[2,2,4,0,2,1,1,1,1],
-						[2,1,4,0,3,1,1,1,1],
-						[2,2,4,0,3,1,1,1,1],
-						[2,2,4,1,3,1,1,1,1],
-						[2,1,4,0,2,2,1,1,1],
-						[1,2,4,0,2,2,1,1,1],
-						[2,2,4,0,2,2,1,1,1],
-						[2,2,4,1,2,2,1,1,1],
-						[2,3,4,1,2,2,1,1,1],
-						[1,2,4,0,2,3,1,1,1],
-						[2,2,4,0,2,3,1,1,1],
-						[1,2,4,0,2,4,1,1,1],
-						[2,3,4,1,2,2,2,1,1],
-						[2,3,4,2,2,2,2,1,1],
-						[2,2,4,0,2,3,2,1,1],
-						[2,3,4,1,2,3,2,1,1],
-						[2,3,4,2,2,3,2,1,1],
-						[0,3,1,0,1,4,2,1,1],
-						[0,3,2,0,1,4,2,1,1],
-						[0,3,2,1,1,4,2,1,1],
-						[0,3,2,0,2,4,2,1,1],
-						[0,2,3,0,2,4,2,1,1],
-						[1,2,3,0,2,4,2,1,1],
-						[0,3,3,0,2,4,2,1,1],
-						[1,3,3,0,2,4,2,1,1],
-						[1,2,4,0,2,4,2,1,1],
-						[1,3,4,0,2,4,2,1,1],
-						[2,3,4,0,2,4,2,1,1],
-						[0,3,2,1,2,4,2,1,1],
-						[0,3,3,1,2,4,2,1,1],
-						[1,3,3,1,2,4,2,1,1],
-						[2,3,3,1,2,4,2,1,1],
-						[1,3,4,1,2,4,2,1,1],
-						[2,3,4,1,2,4,2,1,1],
-						[0,3,3,2,2,4,2,1,1],
-						[1,3,3,2,2,4,2,1,1],
-						[2,3,3,2,2,4,2,1,1],
-						[0,4,3,2,2,4,2,1,1],
-						[1,4,3,2,2,4,2,1,1],
-						[2,4,3,2,2,4,2,1,1],
-						[2,3,4,2,2,4,2,1,1],
-						[2,4,4,2,2,4,2,1,1],
-						[0,3,1,0,1,5,2,1,1],
-						[0,4,2,1,1,4,3,1,1],
-						[0,4,2,2,1,4,3,1,1],
-						[0,4,3,2,1,4,3,1,1],
-						[0,4,3,2,2,4,3,1,1],
-						[1,4,3,2,2,4,3,1,1],
-						[2,4,3,2,2,4,3,1,1],
-						[0,3,0,0,0,5,3,1,1],
-						[0,3,1,0,0,5,3,1,1],
-						[0,3,0,1,0,5,3,1,1],
-						[0,4,0,1,0,5,3,1,1],
-						[0,3,1,1,0,5,3,1,1],
-						[0,4,1,1,0,5,3,1,1],
-						[0,4,0,2,0,5,3,1,1],
-						[0,4,1,2,0,5,3,1,1],
-						[0,4,2,2,0,5,3,1,1],
-						[1,4,2,2,0,5,3,1,1],
-						[1,4,3,2,0,5,3,1,1],
-						[0,3,1,0,1,5,3,1,1],
-						[0,3,1,1,1,5,3,1,1],
-						[0,4,1,1,1,5,3,1,1],
-						[0,3,2,1,1,5,3,1,1],
-						[0,4,2,1,1,5,3,1,1],
-						[0,4,1,2,1,5,3,1,1],
-						[0,4,2,2,1,5,3,1,1],
-						[1,4,2,2,1,5,3,1,1],
-						[0,4,3,2,1,5,3,1,1],
-						[1,4,3,2,1,5,3,1,1],
-						[2,4,3,2,1,5,3,1,1],
-						[1,4,3,2,2,5,3,1,1],
-						[2,4,3,2,2,5,3,1,1],
-						[0,4,0,2,0,5,4,1,1],
-						[0,4,1,2,0,5,4,1,1],
-						[1,5,1,2,0,5,4,1,1],
-						[0,4,2,2,0,5,4,1,1],
-						[1,4,2,2,0,5,4,1,1],
-						[1,5,2,2,0,5,4,1,1],
-						[0,4,0,2,0,6,4,1,1],
-						[0,4,1,2,0,6,4,1,1],
-						[1,5,2,2,0,5,5,1,1],
-						[0,4,0,2,0,6,5,1,1],
-						[0,5,0,2,0,6,5,1,1],
-						[0,4,1,2,0,6,5,1,1],
-						[0,5,1,2,0,6,5,1,1],
-						[1,5,1,2,0,6,5,1,1],
-						[0,5,0,2,0,7,5,1,1],
-						[0,5,1,2,0,7,5,1,1],
-						[1,5,1,2,0,7,5,1,1],
-						[2,0,5,0,3,0,0,2,1],
-						[2,1,5,0,3,0,0,2,1],
-						[2,0,6,0,3,0,0,2,1],
-						[2,1,6,0,3,0,0,2,1],
-						[2,1,5,1,3,0,0,2,1],
-						[2,1,6,1,3,0,0,2,1],
-						[2,2,6,1,3,0,0,2,1],
-						[3,2,6,1,3,0,0,2,1],
-						[3,1,7,1,3,0,0,2,1],
-						[2,1,6,1,4,0,0,2,1],
-						[2,1,7,1,4,0,0,2,1],
-						[3,1,7,1,4,0,0,2,1],
-						[3,2,7,1,4,0,0,2,1],
-						[3,2,7,2,4,0,0,2,1],
-						[4,2,7,2,4,0,0,2,1],
-						[2,1,4,0,3,0,1,2,1],
-						[2,1,5,0,3,0,1,2,1],
-						[2,2,4,1,3,0,1,2,1],
-						[2,1,5,1,3,0,1,2,1],
-						[2,2,5,1,3,0,1,2,1],
-						[2,2,6,1,3,0,1,2,1],
-						[2,2,5,2,3,0,1,2,1],
-						[2,3,5,2,3,0,1,2,1],
-						[2,2,6,2,3,0,1,2,1],
-						[3,2,6,2,3,0,1,2,1],
-						[2,3,6,2,3,0,1,2,1],
-						[3,3,6,2,3,0,1,2,1],
-						[3,2,7,2,3,0,1,2,1],
-						[3,3,7,2,3,0,1,2,1],
-						[4,3,7,2,3,0,1,2,1],
-						[4,2,7,2,4,0,1,2,1],
-						[2,2,4,1,3,1,1,2,1],
-						[2,2,5,1,3,1,1,2,1],
-						[2,3,4,2,3,1,1,2,1],
-						[2,2,5,2,3,1,1,2,1],
-						[2,3,5,2,3,1,1,2,1],
-						[3,3,5,2,3,1,1,2,1],
-						[3,3,6,2,3,1,1,2,1],
-						[2,2,4,1,2,2,1,2,1],
-						[2,3,4,1,2,2,1,2,1],
-						[2,3,4,2,2,2,1,2,1],
-						[2,2,4,1,3,2,1,2,1],
-						[2,3,4,1,3,2,1,2,1],
-						[2,3,4,2,3,2,1,2,1],
-						[2,3,5,2,3,2,1,2,1],
-						[3,3,5,2,3,2,1,2,1],
-						[3,3,6,2,3,2,1,2,1],
-						[2,3,4,2,2,2,2,2,1],
-						[2,4,4,2,2,2,2,2,1],
-						[3,4,4,2,2,2,2,2,1],
-						[2,3,5,2,2,2,2,2,1],
-						[2,4,5,2,2,2,2,2,1],
-						[3,4,5,2,2,2,2,2,1],
-						[2,3,5,2,3,2,2,2,1],
-						[3,4,5,2,3,2,2,2,1],
-						[2,3,4,2,2,3,2,2,1],
-						[2,4,4,2,2,3,2,2,1],
-						[2,3,4,2,2,4,2,2,1],
-						[2,4,4,2,2,4,2,2,1],
-						[2,4,3,2,2,4,3,2,1],
-						[2,4,4,2,2,4,3,2,1],
-						[2,5,4,2,2,4,3,2,1],
-						[1,4,3,2,1,5,3,2,1],
-						[2,4,3,2,1,5,3,2,1],
-						[2,5,3,2,1,5,3,2,1],
-						[2,4,3,2,2,5,3,2,1],
-						[2,5,3,2,2,5,3,2,1],
-						[2,4,4,2,2,5,3,2,1],
-						[2,5,4,2,2,5,3,2,1],
-						[1,4,2,2,0,5,4,2,1],
-						[1,5,2,2,0,5,4,2,1],
-						[2,5,2,2,0,5,4,2,1],
-						[1,4,3,2,0,5,4,2,1],
-						[2,4,3,2,0,5,4,2,1],
-						[2,5,3,2,0,5,4,2,1],
-						[2,4,3,2,1,5,4,2,1],
-						[2,5,3,2,1,5,4,2,1],
-						[2,5,4,2,1,5,4,2,1],
-						[2,5,4,3,1,5,4,2,1],
-						[2,5,3,2,2,5,4,2,1],
-						[2,5,4,2,2,5,4,2,1],
-						[2,5,4,3,2,5,4,2,1],
-						[1,5,2,2,0,5,5,2,1],
-						[2,5,2,2,0,5,5,2,1],
-						[2,5,3,2,0,5,5,2,1],
-						[2,5,3,3,0,5,5,2,1],
-						[2,5,3,2,1,5,5,2,1],
-						[2,5,3,3,1,5,5,2,1],
-						[2,5,4,3,1,5,5,2,1],
-						[1,5,1,2,0,6,5,2,1],
-						[1,5,2,2,0,6,5,2,1],
-						[2,5,2,2,0,6,5,2,1],
-						[2,5,3,2,0,6,5,2,1],
-						[2,5,2,3,0,6,5,2,1],
-						[2,5,3,3,0,6,5,2,1],
-						[2,6,3,3,0,6,5,2,1],
-						[2,6,3,4,0,6,5,2,1],
-						[1,5,1,2,0,7,5,2,1],
-						[2,5,1,2,0,7,5,2,1],
-						[2,5,2,2,0,7,5,2,1],
-						[2,5,2,3,0,7,5,2,1],
-						[2,5,3,3,0,7,5,2,1],
-						[1,5,1,2,0,7,6,2,1],
-						[2,5,1,2,0,7,6,2,1],
-						[2,5,1,3,0,7,6,2,1],
-						[2,5,2,3,0,7,6,2,1],
-						[2,6,2,3,0,7,6,2,1],
-						[2,6,3,3,0,7,6,2,1],
-						[2,6,2,4,0,7,6,2,1],
-						[2,6,3,4,0,7,6,2,1],
-						[4,2,8,2,4,0,0,3,1],
-						[4,3,8,2,4,0,0,3,1],
-						[5,3,8,2,4,0,0,3,1],
-						[3,3,6,2,3,0,1,3,1],
-						[4,3,7,2,3,0,1,3,1],
-						[5,3,7,2,3,0,1,3,1],
-						[5,3,8,2,3,0,1,3,1],
-						[5,4,8,2,3,0,1,3,1],
-						[5,4,9,2,3,0,1,3,1],
-						[4,3,7,2,4,0,1,3,1],
-						[4,2,8,2,4,0,1,3,1],
-						[4,3,8,2,4,0,1,3,1],
-						[5,3,8,2,4,0,1,3,1],
-						[5,4,8,2,4,0,1,3,1],
-						[5,3,9,2,4,0,1,3,1],
-						[5,4,9,2,4,0,1,3,1],
-						[6,4,9,2,4,0,1,3,1],
-						[3,3,6,2,3,1,1,3,1],
-						[4,3,6,2,3,1,1,3,1],
-						[4,4,6,2,3,1,1,3,1],
-						[4,3,7,2,3,1,1,3,1],
-						[4,4,7,2,3,1,1,3,1],
-						[5,4,7,2,3,1,1,3,1],
-						[5,4,8,2,3,1,1,3,1],
-						[5,4,9,2,3,1,1,3,1],
-						[3,3,6,2,3,2,1,3,1],
-						[3,4,6,2,3,2,1,3,1],
-						[4,4,6,2,3,2,1,3,1],
-						[5,4,7,2,3,1,2,3,1],
-						[5,4,8,2,3,1,2,3,1],
-						[5,4,9,2,3,1,2,3,1],
-						[6,4,9,2,3,1,2,3,1],
-						[6,4,9,3,3,1,2,3,1],
-						[3,4,4,2,2,2,2,3,1],
-						[3,4,5,2,2,2,2,3,1],
-						[4,4,5,2,2,2,2,3,1],
-						[4,4,6,2,2,2,2,3,1],
-						[5,4,6,2,2,2,2,3,1],
-						[3,4,5,2,3,2,2,3,1],
-						[4,4,5,2,3,2,2,3,1],
-						[3,4,6,2,3,2,2,3,1],
-						[4,4,6,2,3,2,2,3,1],
-						[5,4,6,2,3,2,2,3,1],
-						[4,4,7,2,3,2,2,3,1],
-						[5,4,7,2,3,2,2,3,1],
-						[5,4,8,2,3,2,2,3,1],
-						[5,4,6,3,3,2,2,3,1],
-						[5,4,7,3,3,2,2,3,1],
-						[5,5,7,3,3,2,2,3,1],
-						[5,4,8,3,3,2,2,3,1],
-						[6,4,8,3,3,2,2,3,1],
-						[5,5,7,4,3,2,2,3,1],
-						[2,4,4,2,2,3,2,3,1],
-						[3,4,4,2,2,3,2,3,1],
-						[3,4,5,2,2,3,2,3,1],
-						[4,4,5,2,2,3,2,3,1],
-						[4,4,6,2,2,3,2,3,1],
-						[5,4,6,2,2,3,2,3,1],
-						[5,4,6,3,2,3,2,3,1],
-						[5,5,6,3,2,3,2,3,1],
-						[5,5,7,3,2,3,2,3,1],
-						[5,4,6,3,3,3,2,3,1],
-						[5,5,7,3,3,3,2,3,1],
-						[5,5,7,4,3,3,2,3,1],
-						[2,4,4,2,2,4,2,3,1],
-						[3,4,4,2,2,4,2,3,1],
-						[4,4,4,2,2,4,2,3,1],
-						[3,4,5,2,2,4,2,3,1],
-						[4,4,5,2,2,4,2,3,1],
-						[4,4,6,2,2,4,2,3,1],
-						[4,4,5,3,2,4,2,3,1],
-						[4,5,5,3,2,4,2,3,1],
-						[4,4,6,3,2,4,2,3,1],
-						[5,4,6,3,2,4,2,3,1],
-						[5,5,6,3,2,4,2,3,1],
-						[5,5,6,4,2,4,2,3,1],
-						[5,5,7,4,2,4,2,3,1],
-						[5,5,7,4,3,4,2,3,1],
-						[2,4,4,2,2,4,3,3,1],
-						[3,4,4,2,2,4,3,3,1],
-						[4,4,4,2,2,4,3,3,1],
-						[2,5,4,2,2,4,3,3,1],
-						[3,5,4,2,2,4,3,3,1],
-						[4,5,4,2,2,4,3,3,1],
-						[2,5,4,3,2,4,3,3,1],
-						[3,5,4,3,2,4,3,3,1],
-						[4,5,4,3,2,4,3,3,1],
-						[4,5,5,3,2,4,3,3,1],
-						[5,5,5,3,2,4,3,3,1],
-						[5,5,6,3,2,4,3,3,1],
-						[3,5,4,4,2,4,3,3,1],
-						[4,5,4,4,2,4,3,3,1],
-						[4,5,5,4,2,4,3,3,1],
-						[5,5,5,4,2,4,3,3,1],
-						[5,5,6,4,2,4,3,3,1],
-						[2,5,4,2,2,5,3,3,1],
-						[2,5,4,3,2,5,3,3,1],
-						[3,5,4,3,2,5,3,3,1],
-						[3,5,4,4,2,5,3,3,1],
-						[3,5,4,4,2,4,4,3,1],
-						[4,5,4,4,2,4,4,3,1],
-						[2,5,4,3,1,5,4,3,1],
-						[2,5,4,2,2,5,4,3,1],
-						[2,5,4,3,2,5,4,3,1],
-						[2,5,4,4,2,5,4,3,1],
-						[3,5,4,4,2,5,4,3,1],
-						[4,5,4,4,2,5,4,3,1],
-						[2,5,3,3,0,5,5,3,1],
-						[2,5,3,4,0,5,5,3,1],
-						[2,6,3,4,0,5,5,3,1],
-						[2,5,3,3,1,5,5,3,1],
-						[2,5,4,3,1,5,5,3,1],
-						[2,5,3,4,1,5,5,3,1],
-						[2,6,3,4,1,5,5,3,1],
-						[2,5,4,4,1,5,5,3,1],
-						[2,6,4,4,1,5,5,3,1],
-						[2,5,4,3,2,5,5,3,1],
-						[2,5,4,4,2,5,5,3,1],
-						[3,5,4,4,2,5,5,3,1],
-						[2,6,4,4,2,5,5,3,1],
-						[3,6,4,4,2,5,5,3,1],
-						[2,5,3,3,0,6,5,3,1],
-						[2,5,3,4,0,6,5,3,1],
-						[2,6,3,4,0,6,5,3,1],
-						[2,6,4,4,0,6,5,3,1],
-						[2,6,4,4,1,6,5,3,1],
-						[2,6,3,4,0,6,6,3,1],
-						[2,7,3,4,0,6,6,3,1],
-						[2,6,3,4,0,7,6,3,1],
-						[2,7,3,4,0,7,6,3,1],
-						[6,4,9,2,4,0,1,4,1],
-						[6,4,9,3,4,0,1,4,1],
-						[6,4,9,3,3,1,2,4,1],
-						[7,4,9,3,3,1,2,4,1],
-						[6,4,9,3,4,1,2,4,1],
-						[7,4,9,3,4,1,2,4,1],
-						[5,4,8,3,3,2,2,4,1],
-						[6,4,8,3,3,2,2,4,1],
-						[6,4,9,3,3,2,2,4,1],
-						[5,5,7,4,3,2,2,4,1],
-						[6,4,8,4,3,2,2,4,1],
-						[5,5,8,4,3,2,2,4,1],
-						[6,5,8,4,3,2,2,4,1],
-						[6,4,9,4,3,2,2,4,1],
-						[5,5,7,4,2,4,2,3,2],
-						[4,5,4,4,2,4,3,3,2],
-						[5,5,4,4,2,4,3,3,2],
-						[5,5,5,4,2,4,3,3,2],
-						[5,5,6,4,2,4,3,3,2],
-						[4,5,4,4,2,4,4,3,2],
-						[5,5,4,4,2,4,4,3,2],
-						[4,6,4,4,2,4,4,3,2],
-						[5,6,4,4,2,4,4,3,2],
-						[3,5,4,4,2,5,4,3,2],
-						[4,5,4,4,2,5,4,3,2],
-						[4,6,4,4,2,5,4,3,2],
-						[5,6,4,4,2,5,4,3,2],
-						[5,6,4,5,2,5,4,3,2],
-						[2,6,4,4,1,5,5,3,2],
-						[2,7,4,4,1,5,5,3,2],
-						[3,7,4,4,1,5,5,3,2],
-						[3,7,4,5,1,5,5,3,2],
-						[3,5,4,4,2,5,5,3,2],
-						[3,6,4,4,2,5,5,3,2],
-						[4,6,4,4,2,5,5,3,2],
-						[3,7,4,4,2,5,5,3,2],
-						[4,6,4,5,2,5,5,3,2],
-						[3,7,4,5,2,5,5,3,2],
-						[4,7,4,5,2,5,5,3,2],
-						[2,6,4,4,0,6,5,3,2],
-						[2,6,4,4,1,6,5,3,2],
-						[2,7,4,4,1,6,5,3,2],
-						[3,7,4,5,1,5,6,3,2],
-						[4,7,4,5,1,5,6,3,2],
-						[2,7,3,4,0,6,6,3,2],
-						[2,7,4,4,0,6,6,3,2],
-						[2,7,4,5,0,6,6,3,2],
-						[2,7,4,4,1,6,6,3,2],
-						[2,7,4,5,1,6,6,3,2],
-						[3,7,4,5,1,6,6,3,2],
-						[2,7,3,4,0,7,6,3,2],
-						[7,4,9,3,3,1,2,4,2],
-						[7,4,9,4,3,1,2,4,2],
-						[5,5,7,4,3,2,2,4,2],
-						[6,5,7,4,3,2,2,4,2],
-						[6,5,8,4,3,2,2,4,2],
-						[7,5,8,4,3,2,2,4,2],
-						[6,4,9,4,3,2,2,4,2],
-						[7,4,9,4,3,2,2,4,2],
-						[6,5,9,4,3,2,2,4,2],
-						[7,5,9,4,3,2,2,4,2],
-						[7,5,9,5,3,2,2,4,2],
-						[5,5,7,4,3,3,2,4,2],
-						[6,5,7,4,3,3,2,4,2],
-						[6,5,8,4,3,3,2,4,2],
-						[7,5,8,4,3,3,2,4,2],
-						[5,5,7,4,2,4,2,4,2],
-						[5,5,7,4,3,4,2,4,2],
-						[6,5,7,4,3,4,2,4,2],
-						[6,5,8,4,3,4,2,4,2],
-						[7,5,9,5,3,3,3,4,2],
-						[5,5,5,4,2,4,3,4,2],
-						[5,6,5,4,2,4,3,4,2],
-						[5,5,6,4,2,4,3,4,2],
-						[6,5,6,4,2,4,3,4,2],
-						[5,5,7,4,2,4,3,4,2],
-						[6,5,7,4,2,4,3,4,2],
-						[5,6,5,5,2,4,3,4,2],
-						[5,5,6,5,2,4,3,4,2],
-						[6,5,6,5,2,4,3,4,2],
-						[5,6,6,5,2,4,3,4,2],
-						[6,6,6,5,2,4,3,4,2],
-						[6,5,7,5,2,4,3,4,2],
-						[7,5,7,5,2,4,3,4,2],
-						[6,6,7,5,2,4,3,4,2],
-						[7,6,7,5,2,4,3,4,2],
-						[7,7,7,5,2,4,3,4,2],
-						[7,5,8,5,2,4,3,4,2],
-						[7,6,8,5,2,4,3,4,2],
-						[7,7,8,5,2,4,3,4,2],
-						[6,5,7,4,3,4,3,4,2],
-						[6,5,8,4,3,4,3,4,2],
-						[7,5,8,4,3,4,3,4,2],
-						[7,5,8,5,3,4,3,4,2],
-						[7,6,8,5,3,4,3,4,2],
-						[7,5,9,5,3,4,3,4,2],
-						[5,6,4,4,2,4,4,4,2],
-						[5,6,5,4,2,4,4,4,2],
-						[5,6,4,5,2,4,4,4,2],
-						[5,6,5,5,2,4,4,4,2],
-						[5,6,6,5,2,4,4,4,2],
-						[5,6,4,4,2,5,4,4,2],
-						[5,6,4,5,2,5,4,4,2],
-						[5,6,5,5,2,5,4,4,2],
-						[5,6,4,5,2,5,5,4,2],
-						[4,7,4,5,2,5,5,4,2],
-						[5,7,4,5,2,5,5,4,2],
-						[5,6,5,5,2,5,5,4,2]
-					],
-					"cellTargetFrequencies": [
-						[0,11],
-						[0,1],
-						[0,1],
-						[0,3],
-						[0,1],
-						[0,1],
-						[0,20],
-						[0,10],
-						[0,22],
-						[0,11],
-						[0,3],
-						[0,11],
-						[1,29],
-						[0,5],
-						[0,8],
-						[0,3],
-						[0,3],
-						[0,1],
-						[0,4],
-						[0,7],
-						[0,22],
-						[0,4],
-						[0,7],
-						[0,9],
-						[9,0],
-						[0,8],
-						[1,0],
-						[0,6],
-						[4,9],
-						[0,21],
-						[0,17],
-						[5,4],
-						[20,0],
-						[15,0],
-						[8,0],
-						[4,1],
-						[3,0],
-						[16,0],
-						[1,1],
-						[1,0],
-						[1,0],
-						[2,0],
-						[12,0],
-						[1,0],
-						[48,1],
-						[9,0],
-						[0,6],
-						[0,19],
-						[0,4],
-						[0,6],
-						[0,7],
-						[0,1],
-						[13,1],
-						[14,0],
-						[3,1],
-						[16,0],
-						[5,2],
-						[0,4],
-						[19,0],
-						[0,14],
-						[0,65],
-						[4,24],
-						[35,0],
-						[0,3],
-						[0,1],
-						[0,1],
-						[18,0],
-						[4,0],
-						[0,2],
-						[11,0],
-						[0,1],
-						[10,0],
-						[7,0],
-						[9,0],
-						[18,0],
-						[0,2],
-						[0,4],
-						[2,31],
-						[0,8],
-						[0,10],
-						[0,9],
-						[0,3],
-						[0,13],
-						[1,42],
-						[50,5],
-						[3,0],
-						[9,0],
-						[68,2],
-						[1,0],
-						[21,0],
-						[6,7],
-						[2,3],
-						[38,3],
-						[0,45],
-						[0,90],
-						[2,40],
-						[3,2],
-						[0,3],
-						[0,3],
-						[0,1],
-						[1,8],
-						[42,0],
-						[1,42],
-						[0,2],
-						[0,4],
-						[0,2],
-						[0,23],
-						[3,2],
-						[9,2],
-						[0,25],
-						[48,0],
-						[0,25],
-						[0,13],
-						[0,1],
-						[0,1],
-						[4,0],
-						[6,0],
-						[6,0],
-						[7,1],
-						[2,0],
-						[2,32],
-						[0,15],
-						[0,4],
-						[46,2],
-						[13,0],
-						[10,0],
-						[9,7],
-						[0,14],
-						[37,0],
-						[1,0],
-						[1,0],
-						[2,23],
-						[6,3],
-						[0,17],
-						[2,1],
-						[3,0],
-						[0,15],
-						[0,7],
-						[2,1],
-						[7,10],
-						[11,0],
-						[0,21],
-						[0,1],
-						[0,2],
-						[0,1],
-						[0,17],
-						[0,1],
-						[0,2],
-						[1,1],
-						[0,12],
-						[0,3],
-						[0,2],
-						[0,1],
-						[0,2],
-						[0,2],
-						[0,1],
-						[0,2],
-						[0,5],
-						[0,6],
-						[3,0],
-						[2,0],
-						[2,0],
-						[5,0],
-						[20,0],
-						[9,1],
-						[4,1],
-						[0,2],
-						[6,0],
-						[8,0],
-						[4,0],
-						[14,4],
-						[0,2],
-						[11,0],
-						[1,3],
-						[0,2],
-						[2,25],
-						[1,5],
-						[0,9],
-						[0,1],
-						[0,41],
-						[0,3],
-						[0,20],
-						[0,2],
-						[9,2],
-						[61,0],
-						[0,2],
-						[0,1],
-						[16,4],
-						[29,0],
-						[9,0],
-						[1,0],
-						[9,72],
-						[0,46],
-						[0,1],
-						[2,0],
-						[3,1],
-						[0,3],
-						[2,0],
-						[2,0],
-						[0,25],
-						[18,3],
-						[10,37],
-						[404,2],
-						[6,46],
-						[486,4],
-						[4,35],
-						[1,0],
-						[52,0],
-						[12,0],
-						[1,87],
-						[1,20],
-						[0,38],
-						[0,89],
-						[0,2],
-						[0,10],
-						[0,7],
-						[0,2],
-						[0,8],
-						[0,41],
-						[9,0],
-						[59,1],
-						[4,0],
-						[2,0],
-						[6,0],
-						[22,0],
-						[1,0],
-						[4,2],
-						[2,10],
-						[0,47],
-						[1,14],
-						[0,15],
-						[0,9],
-						[0,1],
-						[5,3],
-						[13,0],
-						[20,0],
-						[9,0],
-						[5,0],
-						[39,0],
-						[1,0],
-						[2,0],
-						[0,18],
-						[0,1],
-						[0,8],
-						[0,6],
-						[0,3],
-						[0,11],
-						[0,2],
-						[0,1],
-						[0,10],
-						[0,16],
-						[0,2],
-						[0,9],
-						[0,8],
-						[0,5],
-						[0,1],
-						[0,1],
-						[0,2],
-						[30,1],
-						[3,0],
-						[10,0],
-						[15,0],
-						[0,5],
-						[0,8],
-						[0,1],
-						[0,9],
-						[0,20],
-						[0,4],
-						[0,12],
-						[0,23],
-						[0,17],
-						[0,13],
-						[0,15],
-						[0,3],
-						[1,10],
-						[1,10],
-						[10,9],
-						[21,0],
-						[1,6],
-						[1,3],
-						[2,0],
-						[1,5],
-						[1,5],
-						[13,0],
-						[1,0],
-						[2,2],
-						[1,0],
-						[0,4],
-						[0,39],
-						[0,22],
-						[6,0],
-						[4,0],
-						[21,0],
-						[5,0],
-						[1,0],
-						[50,4],
-						[14,0],
-						[0,6],
-						[0,55],
-						[16,0],
-						[3,0],
-						[2,34],
-						[0,7],
-						[9,0],
-						[3,0],
-						[0,1],
-						[0,1],
-						[0,8],
-						[0,7],
-						[0,6],
-						[6,0],
-						[1,0],
-						[6,0],
-						[1,0],
-						[0,1],
-						[1,0],
-						[0,3],
-						[0,1],
-						[29,0],
-						[97,0],
-						[0,3],
-						[1,23],
-						[0,46],
-						[3,0],
-						[1,3],
-						[1,4],
-						[2,0],
-						[6,0],
-						[19,0],
-						[1,4],
-						[0,4],
-						[0,1],
-						[0,44],
-						[21,0],
-						[2,0],
-						[0,106],
-						[45,0],
-						[2,0],
-						[23,1],
-						[88,1],
-						[1,30],
-						[0,32],
-						[5,0],
-						[3,0],
-						[1,19],
-						[0,53],
-						[2,12],
-						[17,0],
-						[14,1],
-						[3,15],
-						[15,0],
-						[3,0],
-						[3,1],
-						[0,2],
-						[0,2],
-						[1,0],
-						[9,0],
-						[68,3],
-						[1,15],
-						[0,34],
-						[0,4],
-						[1,1],
-						[4,0],
-						[1,0],
-						[0,12],
-						[1,9],
-						[2,2],
-						[1,0],
-						[0,18],
-						[22,0],
-						[0,4],
-						[0,30],
-						[0,4],
-						[11,0],
-						[4,1],
-						[2,0],
-						[3,0],
-						[19,0],
-						[3,0],
-						[8,0],
-						[1,13],
-						[0,2],
-						[0,8],
-						[0,9],
-						[0,1],
-						[0,2],
-						[0,11],
-						[0,3],
-						[0,2],
-						[0,2],
-						[5,0],
-						[10,0],
-						[4,6],
-						[2,1],
-						[3,0],
-						[3,0],
-						[2,0],
-						[2,2],
-						[0,1],
-						[10,1],
-						[5,0],
-						[46,0],
-						[10,3],
-						[6,2],
-						[4,0],
-						[1,0],
-						[4,0],
-						[4,0],
-						[12,4],
-						[20,0],
-						[6,0],
-						[0,1],
-						[10,0],
-						[0,2],
-						[0,4],
-						[0,9],
-						[1,0],
-						[43,0],
-						[31,0],
-						[0,5],
-						[0,14],
-						[0,11],
-						[0,32],
-						[0,1],
-						[0,2],
-						[0,3],
-						[0,6],
-						[0,1],
-						[0,2],
-						[0,9],
-						[0,8],
-						[0,2],
-						[0,1],
-						[0,8],
-						[0,6],
-						[0,1],
-						[0,3],
-						[0,2],
-						[4,0],
-						[22,0],
-						[0,8],
-						[0,1],
-						[0,3],
-						[0,3],
-						[0,40],
-						[0,5],
-						[0,5],
-						[1,0],
-						[2,0],
-						[0,2],
-						[0,4],
-						[0,7],
-						[4,0],
-						[2,0],
-						[0,4],
-						[1,14],
-						[0,2],
-						[0,40],
-						[1,0],
-						[0,17],
-						[16,1],
-						[0,2],
-						[1,2],
-						[2,0],
-						[0,3],
-						[4,0],
-						[12,0],
-						[4,0],
-						[16,1],
-						[0,15],
-						[0,2],
-						[1,2],
-						[0,9],
-						[0,1],
-						[3,0],
-						[4,0],
-						[1,2],
-						[1,16],
-						[0,6],
-						[0,4],
-						[0,2],
-						[0,1],
-						[0,4],
-						[0,15],
-						[0,1],
-						[0,1],
-						[0,4],
-						[0,1],
-						[0,12],
-						[0,6],
-						[0,20],
-						[0,3]
-					],
-					"cellInterests": [0.00180626,0.000164205,0.000164205,0.000492615,0.000164205,0.000164205,0.0032841,0.00164205,0.00361251,0.00180626,0.000492615,0.00180626,0.0038838,0.000821025,0.00131364,0.000492615,0.000492615,0.000164205,0.00065682,0.00114944,0.00361251,0.00065682,0.00114944,0.00147785,0.00149333,0.00131364,0.000165925,0.00098523,0.000230705,0.00344831,0.00279149,1.41313e-05,0.00331851,0.00248888,0.0013274,0.000232086,0.000497776,0.00265481,3.10721e-09,0.000165925,0.000165925,0.000331851,0.0019911,0.000165925,0.00696615,0.00149333,0.00098523,0.0031199,0.00065682,0.00098523,0.00114944,0.000164205,0.00146336,0.00232296,0.000126331,0.00265481,0.000160748,0.00065682,0.00315258,0.00229887,0.0106733,0.00187004,0.00580739,0.000492615,0.000164205,0.000164205,0.00298666,0.000663702,0.00032841,0.00182518,0.000164205,0.00165925,0.00116148,0.00149333,0.00298666,0.00032841,0.00065682,0.0036255,0.00131364,0.00164205,0.00147785,0.000492615,0.00213467,0.00593151,0.00512732,0.000497776,0.00149333,0.00944862,0.000165925,0.00348443,8.32815e-06,2.31226e-05,0.00424202,0.00738923,0.0147785,0.00498528,2.4843e-05,0.000492615,0.000492615,0.000164205,0.000731939,0.00696887,0.00593151,0.00032841,0.00065682,0.00032841,0.00377672,2.4843e-05,0.00057973,0.00410513,0.00796442,0.00410513,0.00213467,0.000164205,0.000164205,0.000663702,0.000995552,0.000995552,0.000607901,0.000331851,0.00377505,0.00246308,0.00065682,0.00598115,0.00215703,0.00165925,3.15903e-05,0.00229887,0.00613924,0.000165925,0.000165925,0.00244894,0.000123972,0.00279149,4.1324e-05,0.000497776,0.00246308,0.00114944,4.1324e-05,6.08133e-05,0.00182518,0.00344831,0.000164205,0.00032841,0.000164205,0.00279149,0.000164205,0.00032841,3.10721e-09,0.00197046,0.000492615,0.00032841,0.000164205,0.00032841,0.00032841,0.000164205,0.00032841,0.000821025,0.00098523,0.000497776,0.000331851,0.000331851,0.000829627,0.00331851,0.000883392,0.000232086,0.00032841,0.000995552,0.0013274,0.000663702,0.000709213,0.00032841,0.00182518,0.00012289,0.00032841,0.0027392,0.00034318,0.00147785,0.000164205,0.00673241,0.000492615,0.0032841,0.00032841,0.00057973,0.0101214,0.00032841,0.000164205,0.000928345,0.00481184,0.00149333,0.000165925,0.00658745,0.00755343,0.000164205,0.000331851,0.000126331,0.000492615,0.000331851,0.000331851,0.00410513,0.00142834,0.00194166,0.0643566,0.00412045,0.075768,0.00333974,0.000165925,0.00862812,0.0019911,0.0131488,0.00249264,0.00623979,0.0146142,0.00032841,0.00164205,0.00114944,0.00032841,0.00131364,0.00673241,0.00149333,0.00874265,0.000663702,0.000331851,0.000995552,0.00365036,0.000165925,8.2648e-05,0.00068636,0.00771764,0.00158989,0.00246308,0.00147785,0.000164205,6.19031e-05,0.00215703,0.00331851,0.00149333,0.000829627,0.00647109,0.000165925,0.000331851,0.00295569,0.000164205,0.00131364,0.00098523,0.000492615,0.00180626,0.00032841,0.000164205,0.00164205,0.00262728,0.00032841,0.00147785,0.00131364,0.000821025,0.000164205,0.000164205,0.00032841,0.00408996,0.000497776,0.00165925,0.00248888,0.000821025,0.00131364,0.000164205,0.00147785,0.0032841,0.00065682,0.00197046,0.00377672,0.00279149,0.00213467,0.00246308,0.000492615,0.00100998,0.00100998,7.15936e-06,0.00348443,0.00046751,0.00012289,0.000331851,0.00034318,0.00034318,0.00215703,0.000165925,6.21443e-09,0.000165925,0.00065682,0.006404,0.00361251,0.000995552,0.000663702,0.00348443,0.000829627,0.000165925,0.00555755,0.00232296,0.00098523,0.00903128,0.00265481,0.000497776,0.00407542,0.00114944,0.00149333,0.000497776,0.000164205,0.000164205,0.00131364,0.00114944,0.00098523,0.000995552,0.000165925,0.000995552,0.000165925,0.000164205,0.000165925,0.000492615,0.000164205,0.00481184,0.0160948,0.000492615,0.00295272,0.00755343,0.000497776,0.00012289,0.000226925,0.000331851,0.000995552,0.00315258,0.000226925,0.00065682,0.000164205,0.00722502,0.00348443,0.000331851,0.0174057,0.00746664,0.000331851,0.00299057,0.0134599,0.00404006,0.00525456,0.000829627,0.000497776,0.00234035,0.00870287,0.00093502,0.00282073,0.00161226,0.00102954,0.00248888,0.000497776,0.000126331,0.00032841,0.00032841,0.000165925,0.00149333,0.008816,0.00173821,0.00558297,0.00065682,3.10721e-09,0.000663702,0.000165925,0.00197046,0.000869629,6.21443e-09,0.000165925,0.00295569,0.00365036,0.00065682,0.00492615,0.00065682,0.00182518,0.000232086,0.000331851,0.000497776,0.00315258,0.000497776,0.0013274,0.00144271,0.00032841,0.00131364,0.00147785,0.000164205,0.00032841,0.00180626,0.000492615,0.00032841,0.00032841,0.000829627,0.00165925,4.62451e-05,4.1324e-05,0.000497776,0.000497776,0.000331851,6.21443e-09,0.000164205,0.00102546,0.000829627,0.00763257,0.000479519,0.000252662,0.000663702,0.000165925,0.000663702,0.000663702,0.000505324,0.00331851,0.000995552,0.000164205,0.00165925,0.00032841,0.00065682,0.00147785,0.000165925,0.00713479,0.00514369,0.000821025,0.00229887,0.00180626,0.00525456,0.000164205,0.00032841,0.000492615,0.00098523,0.000164205,0.00032841,0.00147785,0.00131364,0.00032841,0.000164205,0.00131364,0.00098523,0.000164205,0.000492615,0.00032841,0.000663702,0.00365036,0.00131364,0.000164205,0.000492615,0.000492615,0.0065682,0.000821025,0.000821025,0.000165925,0.000331851,0.00032841,0.00065682,0.00114944,0.000663702,0.000331851,0.00065682,0.00158989,0.00032841,0.0065682,0.000165925,0.00279149,0.00191333,0.00032841,3.96036e-05,0.000331851,0.000492615,0.000663702,0.0019911,0.000663702,0.00191333,0.00246308,0.00032841,3.96036e-05,0.00147785,0.000164205,0.000497776,0.000663702,3.96036e-05,0.00188752,0.00098523,0.00065682,0.00032841,0.000164205,0.00065682,0.00246308,0.000164205,0.000164205,0.00065682,0.000164205,0.00197046,0.00098523,0.0032841,0.000492615]
-				}
-			}
-		}
-	},
-	"trainEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Train",
-		"summary": {
-			"dictionary": "Spiral",
-			"database": ".\/Spiral10000.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 6921,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "1"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Data Grid",
-				"name": "Data Grid",
-				"accuracy": 0.968646,
-				"compression": 0.875312,
-				"auc": 0.995022
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["0","1"],
-					"matrix": [
-						[3335,104],
-						[113,3369]
-					]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "0",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.200725,0.40145,0.602175,0.8029,1.00363,1.20435,1.40508,1.6058,1.80653,2.00725,2.20798,2.4087,2.60943,2.81015,3.01088,3.2116,3.41233,3.61305,3.81378,4.0145,4.21523,4.41595,4.61668,4.8174,5.01813,5.21885,5.41958,5.6203,5.82103,6.02175,6.22248,6.4232,6.62393,6.82465,7.02538,7.2261,7.42683,7.62755,7.82828,8.029,8.22973,8.43045,8.63118,8.8319,9.03263,9.23335,9.43408,9.6348,9.83553,10.0363,10.237,10.4377,10.6384,10.8392,11.0399,11.2406,11.4413,11.6421,11.8428,12.0435,12.2442,12.445,12.6457,12.8464,13.0471,13.2479,13.4486,13.6493,13.85,14.0508,14.2515,14.4522,14.6529,14.8537,15.0544,15.2551,15.4558,15.6566,15.8573,16.058,16.2587,16.4595,16.6602,16.8609,17.0616,17.2624,17.4631,17.6638,17.8645,18.0653,18.266,18.4667,18.6674,18.8682,19.0689,19.2696,19.4703,19.6711,19.8718,20.0725,20.2732,20.474,20.6747,20.8754,21.0761,21.2769,21.4776,21.6783,21.879,22.0798,22.2805,22.4812,22.6819,22.8827,23.0834,23.2841,23.4848,23.6856,23.8863,24.087,24.2877,24.4885,24.6892,24.8899,25.0906,25.2914,25.4921,25.6928,25.8935,26.0943,26.295,26.4957,26.6964,26.8972,27.0979,27.2986,27.4993,27.7001,27.9008,28.1015,28.3022,28.503,28.7037,28.9044,29.1051,29.3059,29.5066,29.7073,29.908,30.1088,30.3095,30.5102,30.7109,30.9117,31.1124,31.3131,31.5138,31.7146,31.9153,32.116,32.3167,32.5175,32.7182,32.9189,33.1196,33.3204,33.5211,33.7218,33.9225,34.1233,34.324,34.5247,34.7254,34.9262,35.1269,35.3276,35.5283,35.7291,35.9298,36.1305,36.3312,36.532,36.7327,36.9334,37.1341,37.3349,37.5356,37.7363,37.937,38.1378,38.3385,38.5392,38.7399,38.9407,39.1414,39.3421,39.5428,39.7436,39.9443,40.145,40.3457,40.5465,40.7472,40.9479,41.1486,41.3494,41.5501,41.7508,41.9515,42.1523,42.353,42.5537,42.7544,42.9552,43.1559,43.3566,43.5573,43.7581,43.9588,44.1595,44.3602,44.561,44.7617,44.9624,45.1631,45.3639,45.5646,45.7653,45.966,46.1668,46.3675,46.5682,46.7689,46.9697,47.1704,47.3711,47.5718,47.7726,47.9733,48.174,48.3747,48.5755,48.7762,48.9769,49.1776,49.3784,49.5791,49.7798,49.9805,50.1813,50.382,50.5827,50.7834,50.9842,51.1849,51.3856,51.5863,51.7871,51.9878,52.1885,52.3892,52.59,52.7907,52.9914,53.1921,53.3929,53.5936,53.7943,53.995,54.1958,54.3965,54.5972,54.7979,54.9987,55.1994,55.4001,55.6008,55.8016,56.0023,56.203,56.4037,56.6045,56.8052,57.0059,57.2066,57.4074,57.6081,57.8088,58.0095,58.2103,58.411,58.6117,58.8124,59.0132,59.2139,59.4146,59.6153,59.8161,60.0168,60.2175,60.4182,60.619,60.8197,61.0204,61.2211,61.4219,61.6226,61.8233,62.024,62.2248,62.4255,62.6262,62.8269,63.0277,63.2284,63.4291,63.6298,63.8306,64.0313,64.232,64.4327,64.6335,64.8342,65.0349,65.2356,65.4364,65.6371,65.8378,66.0385,66.2393,66.44,66.6407,66.8414,67.0422,67.2429,67.4436,67.6443,67.8451,68.0458,68.2465,68.4472,68.648,68.8487,69.0494,69.2501,69.4509,69.6516,69.8523,70.053,70.2538,70.4545,70.6552,70.8559,71.0567,71.2574,71.4581,71.6588,71.8596,72.0603,72.261,72.4617,72.6625,72.8632,73.0639,73.2646,73.4654,73.6661,73.8668,74.0675,74.2683,74.469,74.6697,74.8704,75.0712,75.2719,75.4726,75.6733,75.8741,76.0748,76.2755,76.4762,76.677,76.8777,77.0784,77.2791,77.4799,77.6806,77.8813,78.082,78.2828,78.4835,78.6842,78.8849,79.0857,79.2864,79.4871,79.6878,79.8886,80.0893,80.29,80.4907,80.6915,80.8922,81.0929,81.2936,81.4944,81.6951,81.8958,82.0965,82.2973,82.498,82.6987,82.8994,83.1002,83.3009,83.5016,83.7023,83.9031,84.1038,84.3045,84.5052,84.706,84.9067,85.1074,85.3081,85.5089,85.7096,85.9103,86.111,86.3118,86.5125,86.7132,86.914,87.1147,87.3154,87.5161,87.7169,87.9176,88.1183,88.319,88.5198,88.7205,88.9212,89.1219,89.3227,89.5234,89.7241,89.9248,90.1256,90.3263,90.527,90.7277,90.9285,91.1292,91.3299,91.5306,91.7314,91.9321,92.1328,92.3335,92.5343,92.735,92.9357,93.1364,93.3372,93.5379,93.7386,93.9393,94.1401,94.3408,94.5415,94.7422,94.943,95.1437,95.3444,95.5451,95.7459,95.9466,96.1473,96.348,96.5488,96.7495,96.9502,97.1509,97.3517,97.5524,97.7531,97.9538,98.1546,98.3553,98.556,98.7567,98.9575,99.1582,99.3589,99.5596,99.7604,99.9611,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Data Grid",
-						"values": [0,0.200725,0.40145,0.602175,0.8029,1.00363,1.20435,1.40508,1.6058,1.80653,2.00725,2.20798,2.4087,2.60943,2.81015,3.01088,3.2116,3.41233,3.61305,3.81378,4.0145,4.21523,4.41595,4.61668,4.8174,5.01813,5.21885,5.41958,5.6203,5.82103,6.02175,6.22248,6.4232,6.62393,6.82465,7.02538,7.2261,7.42683,7.62755,7.82828,8.029,8.22973,8.43045,8.63118,8.8319,9.03263,9.23335,9.43408,9.6348,9.83553,10.0363,10.237,10.4377,10.6384,10.8392,11.0399,11.2406,11.4413,11.6421,11.8428,12.0435,12.2442,12.445,12.6457,12.8464,13.0471,13.2479,13.4486,13.6493,13.85,14.0508,14.2515,14.4522,14.6529,14.8537,15.0544,15.2551,15.4558,15.6566,15.8573,16.058,16.2587,16.4595,16.6602,16.8609,17.0616,17.2624,17.4631,17.6638,17.8645,18.0653,18.266,18.4667,18.6674,18.8682,19.0689,19.2696,19.4703,19.6711,19.8718,20.0725,20.2732,20.474,20.6747,20.8754,21.0761,21.2769,21.4776,21.6783,21.879,22.0798,22.2805,22.4812,22.6819,22.8827,23.0834,23.2841,23.4848,23.6856,23.8863,24.087,24.2877,24.4885,24.6892,24.8899,25.0906,25.2914,25.4921,25.6928,25.8935,26.0943,26.295,26.4957,26.6964,26.8972,27.0979,27.2986,27.4993,27.7001,27.9008,28.1015,28.3022,28.503,28.7037,28.9044,29.1051,29.3059,29.5066,29.7073,29.908,30.1088,30.3095,30.5102,30.7109,30.9117,31.1124,31.3131,31.5138,31.7146,31.9153,32.116,32.3167,32.5175,32.7182,32.9189,33.1196,33.3204,33.5211,33.7218,33.9225,34.1233,34.324,34.5247,34.7254,34.9262,35.1269,35.3276,35.5283,35.7291,35.9298,36.1305,36.3312,36.532,36.7327,36.9334,37.1341,37.3349,37.5356,37.7363,37.937,38.1378,38.3385,38.5392,38.7399,38.9407,39.1414,39.3421,39.5428,39.7436,39.9443,40.145,40.3457,40.5465,40.7472,40.9479,41.1486,41.3494,41.5501,41.7508,41.9515,42.1523,42.353,42.5537,42.7544,42.9552,43.1559,43.3566,43.5573,43.7581,43.9588,44.1595,44.3602,44.561,44.7617,44.9624,45.1631,45.3639,45.5646,45.7653,45.966,46.1668,46.3675,46.5682,46.7689,46.9697,47.1696,47.3693,47.5691,47.7688,47.9686,48.1683,48.368,48.5678,48.7675,48.9672,49.167,49.3667,49.5664,49.7662,49.9659,50.1657,50.3654,50.5651,50.7649,50.9646,51.1643,51.3641,51.5638,51.7635,51.9633,52.163,52.3628,52.5625,52.7622,52.962,53.1617,53.3614,53.5612,53.7609,53.9606,54.1604,54.3601,54.5599,54.7596,54.9593,55.1591,55.3588,55.5585,55.7583,55.958,56.1577,56.3575,56.5572,56.757,56.9567,57.1564,57.3562,57.5559,57.7556,57.9554,58.1551,58.3548,58.5546,58.7542,58.9533,59.1524,59.3515,59.5506,59.7497,59.9488,60.1478,60.3469,60.546,60.7451,60.9442,61.1433,61.3424,61.5414,61.7405,61.9396,62.1387,62.3378,62.5369,62.736,62.9351,63.1341,63.3332,63.5323,63.7314,63.9305,64.1296,64.3287,64.5277,64.7268,64.9259,65.125,65.3241,65.5232,65.7223,65.9213,66.1204,66.3195,66.5186,66.7177,66.9168,67.1159,67.315,67.514,67.7131,67.9122,68.1113,68.3104,68.5095,68.7086,68.9076,69.1067,69.3058,69.5049,69.704,69.9031,70.1022,70.3013,70.5003,70.6994,70.8985,71.0976,71.2967,71.4958,71.6949,71.8939,72.093,72.2921,72.4912,72.6903,72.8892,73.0876,73.2861,73.4846,73.6831,73.8815,74.08,74.2785,74.4769,74.6754,74.8739,75.0723,75.2708,75.4688,75.6662,75.8635,76.0609,76.2583,76.4557,76.6531,76.8504,77.0478,77.2446,77.4412,77.6379,77.8345,78.0311,78.2277,78.4244,78.6198,78.8148,79.0098,79.2048,79.3998,79.5948,79.7898,79.9848,80.1797,80.3747,80.5693,80.7635,80.9578,81.152,81.346,81.5384,81.7308,81.9231,82.1155,82.3079,82.5002,82.6926,82.8849,83.0773,83.2697,83.4619,83.6542,83.8464,84.0387,84.2309,84.4232,84.6154,84.8076,84.9999,85.1921,85.3828,85.5718,85.7607,85.9496,86.1385,86.3266,86.5139,86.7009,86.8873,87.0735,87.2596,87.4456,87.6317,87.8177,88.0037,88.1897,88.3755,88.5614,88.7473,88.9331,89.119,89.3048,89.4907,89.6744,89.8569,90.0394,90.2218,90.4043,90.5868,90.7693,90.9518,91.1342,91.3165,91.4972,91.6746,91.8484,92.0205,92.1925,92.361,92.5252,92.6894,92.8526,93.0132,93.1738,93.3344,93.495,93.6545,93.8107,93.9668,94.1218,94.2762,94.4278,94.5783,94.7289,94.8794,95.0299,95.1766,95.3149,95.4487,95.5825,95.7158,95.8412,95.9621,96.0791,96.192,96.3047,96.4162,96.5227,96.6283,96.7334,96.8338,96.9342,97.0306,97.1233,97.2096,97.2923,97.3745,97.4548,97.5351,97.602,97.6653,97.727,97.7792,97.8287,97.8714,97.9141,97.9568,97.9995,98.0423,98.085,98.1269,98.167,98.2015,98.2349,98.2684,98.3018,98.3353,98.3687,98.4022,98.4313,98.4599,98.4886,98.5173,98.546,98.5746,98.6033,98.6273,98.6505,98.6737,98.6968,98.72,98.7431,98.7663,98.7892,98.8115,98.8338,98.8561,98.8784,98.9007,98.923,98.9453,98.9676,98.9899,99.0122,99.0345,99.0568,99.0786,99.0992,99.1197,99.1403,99.1609,99.1815,99.2017,99.2214,99.2396,99.2579,99.276,99.292,99.3081,99.3241,99.3397,99.3545,99.3694,99.3843,99.3988,99.4132,99.427,99.4404,99.4538,99.4672,99.4804,99.4929,99.5055,99.5177,99.5298,99.542,99.5542,99.5663,99.5781,99.5899,99.6017,99.6135,99.6253,99.6371,99.649,99.6603,99.6714,99.6826,99.6937,99.7049,99.7154,99.7255,99.7355,99.7452,99.7548,99.7643,99.7739,99.7835,99.793,99.8026,99.8121,99.8217,99.8306,99.839,99.8473,99.8555,99.8622,99.8689,99.8756,99.8823,99.8888,99.8953,99.9018,99.9083,99.9142,99.9189,99.9236,99.9283,99.9329,99.9376,99.9423,99.9469,99.9516,99.9563,99.9609,99.9656,99.9703,99.9729,99.9752,99.9775,99.9798,99.982,99.9843,99.9866,99.9889,99.9912,99.9934,99.9957,99.998,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "1",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.19928,0.39856,0.59784,0.797121,0.996401,1.19568,1.39496,1.59424,1.79352,1.9928,2.19208,2.39136,2.59064,2.78992,2.9892,3.18848,3.38776,3.58704,3.78632,3.9856,4.18488,4.38416,4.58344,4.78272,4.982,5.18128,5.38056,5.57984,5.77912,5.9784,6.17768,6.37697,6.57625,6.77553,6.97481,7.17409,7.37337,7.57265,7.77193,7.97121,8.17049,8.36977,8.56905,8.76833,8.96761,9.16689,9.36617,9.56545,9.76473,9.96401,10.1633,10.3626,10.5618,10.7611,10.9604,11.1597,11.359,11.5582,11.7575,11.9568,12.1561,12.3554,12.5547,12.7539,12.9532,13.1525,13.3518,13.5511,13.7503,13.9496,14.1489,14.3482,14.5475,14.7467,14.946,15.1453,15.3446,15.5439,15.7431,15.9424,16.1417,16.341,16.5403,16.7395,16.9388,17.1381,17.3374,17.5367,17.7359,17.9352,18.1345,18.3338,18.5331,18.7323,18.9316,19.1309,19.3302,19.5295,19.7287,19.928,20.1273,20.3266,20.5259,20.7251,20.9244,21.1237,21.323,21.5223,21.7215,21.9208,22.1201,22.3194,22.5187,22.7179,22.9172,23.1165,23.3158,23.5151,23.7143,23.9136,24.1129,24.3122,24.5115,24.7107,24.91,25.1093,25.3086,25.5079,25.7071,25.9064,26.1057,26.305,26.5043,26.7035,26.9028,27.1021,27.3014,27.5007,27.6999,27.8992,28.0985,28.2978,28.4971,28.6963,28.8956,29.0949,29.2942,29.4935,29.6927,29.892,30.0913,30.2906,30.4899,30.6891,30.8884,31.0877,31.287,31.4863,31.6855,31.8848,32.0841,32.2834,32.4827,32.6819,32.8812,33.0805,33.2798,33.4791,33.6783,33.8776,34.0769,34.2762,34.4755,34.6747,34.874,35.0733,35.2726,35.4719,35.6711,35.8704,36.0697,36.269,36.4683,36.6675,36.8668,37.0661,37.2654,37.4647,37.664,37.8632,38.0625,38.2618,38.4611,38.6604,38.8596,39.0589,39.2582,39.4575,39.6568,39.856,40.0553,40.2546,40.4539,40.6532,40.8524,41.0517,41.251,41.4503,41.6496,41.8488,42.0481,42.2474,42.4467,42.646,42.8452,43.0445,43.2438,43.4431,43.6424,43.8416,44.0409,44.2402,44.4395,44.6388,44.838,45.0373,45.2366,45.4359,45.6352,45.8344,46.0337,46.233,46.4323,46.6316,46.8308,47.0301,47.2294,47.4287,47.628,47.8272,48.0265,48.2258,48.4251,48.6244,48.8236,49.0229,49.2222,49.4215,49.6208,49.82,50.0193,50.2186,50.4179,50.6172,50.8164,51.0157,51.215,51.4143,51.6136,51.8128,52.0121,52.2114,52.4107,52.61,52.8092,53.0085,53.2078,53.4071,53.6064,53.8056,54.0049,54.2042,54.4035,54.6028,54.802,55.0013,55.2006,55.3999,55.5992,55.7984,55.9977,56.197,56.3963,56.5956,56.7948,56.9941,57.1934,57.3927,57.592,57.7912,57.9905,58.1898,58.3891,58.5884,58.7876,58.9869,59.1862,59.3855,59.5848,59.784,59.9833,60.1826,60.3819,60.5812,60.7804,60.9797,61.179,61.3783,61.5776,61.7768,61.9761,62.1754,62.3747,62.574,62.7733,62.9725,63.1718,63.3711,63.5704,63.7697,63.9689,64.1682,64.3675,64.5668,64.7661,64.9653,65.1646,65.3639,65.5632,65.7625,65.9617,66.161,66.3603,66.5596,66.7589,66.9581,67.1574,67.3567,67.556,67.7553,67.9545,68.1538,68.3531,68.5524,68.7517,68.9509,69.1502,69.3495,69.5488,69.7481,69.9473,70.1466,70.3459,70.5452,70.7445,70.9437,71.143,71.3423,71.5416,71.7409,71.9401,72.1394,72.3387,72.538,72.7373,72.9365,73.1358,73.3351,73.5344,73.7337,73.9329,74.1322,74.3315,74.5308,74.7301,74.9293,75.1286,75.3279,75.5272,75.7265,75.9257,76.125,76.3243,76.5236,76.7229,76.9221,77.1214,77.3207,77.52,77.7193,77.9185,78.1178,78.3171,78.5164,78.7157,78.9149,79.1142,79.3135,79.5128,79.7121,79.9113,80.1106,80.3099,80.5092,80.7085,80.9077,81.107,81.3063,81.5056,81.7049,81.9041,82.1034,82.3027,82.502,82.7013,82.9005,83.0998,83.2991,83.4984,83.6977,83.8969,84.0962,84.2955,84.4948,84.6941,84.8933,85.0926,85.2919,85.4912,85.6905,85.8897,86.089,86.2883,86.4876,86.6869,86.8862,87.0854,87.2847,87.484,87.6833,87.8826,88.0818,88.2811,88.4804,88.6797,88.879,89.0782,89.2775,89.4768,89.6761,89.8754,90.0746,90.2739,90.4732,90.6725,90.8718,91.071,91.2703,91.4696,91.6689,91.8682,92.0674,92.2667,92.466,92.6653,92.8646,93.0638,93.2631,93.4624,93.6617,93.861,94.0602,94.2595,94.4588,94.6581,94.8574,95.0566,95.2559,95.4552,95.6545,95.8538,96.053,96.2523,96.4516,96.6509,96.8502,97.0494,97.2487,97.448,97.6473,97.8466,98.0458,98.2451,98.4444,98.6437,98.843,99.0422,99.2415,99.4408,99.6401,99.8394,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Data Grid",
-						"values": [0,0.19928,0.39856,0.59784,0.797121,0.996401,1.19568,1.39496,1.59424,1.79352,1.9928,2.19208,2.39136,2.59064,2.78992,2.9892,3.18848,3.38776,3.58704,3.78632,3.9856,4.18488,4.38416,4.58344,4.78272,4.982,5.18128,5.38056,5.57984,5.77912,5.9784,6.17768,6.37697,6.57625,6.77553,6.97481,7.17409,7.37337,7.57265,7.77193,7.97121,8.17049,8.36977,8.56905,8.76833,8.96761,9.16689,9.36617,9.56545,9.76473,9.96401,10.1633,10.3626,10.5618,10.7611,10.9604,11.1597,11.359,11.5582,11.7575,11.9568,12.1561,12.3554,12.5547,12.7539,12.9532,13.1525,13.3518,13.5511,13.7503,13.9496,14.1489,14.3482,14.5475,14.7467,14.946,15.1453,15.3446,15.5439,15.7431,15.9424,16.1417,16.341,16.5403,16.7395,16.9388,17.1381,17.3374,17.5367,17.7359,17.9352,18.1345,18.3338,18.5331,18.7323,18.9316,19.1309,19.3302,19.5295,19.7287,19.928,20.1273,20.3266,20.5259,20.7251,20.9244,21.1237,21.323,21.5223,21.7215,21.9208,22.1201,22.3194,22.5187,22.7179,22.9172,23.1165,23.3158,23.5151,23.7143,23.9136,24.1129,24.3122,24.5115,24.7107,24.91,25.1093,25.3086,25.5079,25.7071,25.9064,26.1057,26.305,26.5043,26.7035,26.9028,27.1021,27.3014,27.5007,27.6999,27.8992,28.0985,28.2978,28.4971,28.6963,28.8956,29.0949,29.2942,29.4935,29.6927,29.892,30.0913,30.2906,30.4899,30.6891,30.8884,31.0877,31.287,31.4863,31.6855,31.8848,32.0841,32.2834,32.4827,32.6819,32.8812,33.0805,33.2798,33.4791,33.6783,33.8776,34.0769,34.2762,34.4755,34.6747,34.874,35.0733,35.2726,35.4719,35.6711,35.8704,36.0697,36.269,36.4683,36.6675,36.8668,37.0661,37.2654,37.4647,37.664,37.8632,38.0625,38.2618,38.4611,38.6604,38.8596,39.0589,39.2582,39.4575,39.6568,39.856,40.0553,40.2546,40.4539,40.6532,40.8524,41.0517,41.251,41.4503,41.6496,41.8488,42.0481,42.2474,42.4467,42.646,42.8452,43.0445,43.2438,43.4431,43.6424,43.8416,44.0409,44.2402,44.4395,44.6388,44.838,45.0373,45.2366,45.4359,45.6352,45.8344,46.0337,46.233,46.4323,46.6316,46.8308,47.0301,47.2294,47.4287,47.628,47.8272,48.0265,48.2258,48.4251,48.6244,48.8236,49.0229,49.2222,49.4215,49.6208,49.82,50.0193,50.2186,50.4179,50.6172,50.8164,51.0157,51.215,51.4143,51.6136,51.8128,52.0121,52.2114,52.4107,52.61,52.8092,53.0085,53.2078,53.4071,53.6064,53.8056,54.0049,54.2042,54.4035,54.6028,54.802,55.0013,55.2006,55.3999,55.5992,55.7984,55.9977,56.197,56.3963,56.5956,56.7948,56.9941,57.1934,57.3927,57.592,57.7912,57.9905,58.1898,58.3891,58.5884,58.7876,58.9869,59.1862,59.3855,59.5848,59.784,59.9833,60.1826,60.3819,60.5812,60.7804,60.9797,61.179,61.3783,61.5776,61.7768,61.9761,62.1754,62.3747,62.574,62.7733,62.9725,63.1718,63.3711,63.5704,63.7697,63.9689,64.1682,64.3675,64.5668,64.7661,64.9653,65.1646,65.3639,65.5632,65.7625,65.9617,66.161,66.3603,66.5596,66.7589,66.9581,67.1574,67.3567,67.556,67.7553,67.9545,68.1538,68.3531,68.5524,68.7517,68.9509,69.1502,69.3495,69.5488,69.7481,69.9473,70.1466,70.3459,70.5432,70.7402,70.9372,71.1342,71.3313,71.5283,71.7253,71.9223,72.1193,72.3163,72.5134,72.7104,72.907,73.1017,73.2963,73.491,73.6856,73.8802,74.0749,74.2695,74.4642,74.6588,74.8535,75.0481,75.2428,75.4361,75.629,75.8218,76.0147,76.2075,76.4001,76.5927,76.7854,76.978,77.1691,77.3601,77.5511,77.7415,77.9313,78.1211,78.3109,78.5007,78.6905,78.8803,79.0701,79.2598,79.4495,79.6388,79.8281,80.0169,80.2051,80.3933,80.5815,80.7697,80.9578,81.1453,81.3329,81.5205,81.708,81.8956,82.0831,82.2707,82.4579,82.6451,82.8323,83.0195,83.2067,83.3935,83.5804,83.7665,83.9525,84.1385,84.3245,84.51,84.6951,84.8799,85.0644,85.2489,85.4334,85.6173,85.8007,85.984,86.1673,86.3486,86.5298,86.711,86.8908,87.0699,87.2488,87.4276,87.6065,87.7853,87.9642,88.1418,88.319,88.4961,88.6733,88.8504,89.0275,89.2047,89.3818,89.5589,89.7361,89.9132,90.0904,90.2675,90.4441,90.6203,90.7966,90.9729,91.1492,91.3255,91.5018,91.6772,91.848,92.0188,92.1896,92.3604,92.5312,92.7021,92.8725,93.0386,93.2046,93.3707,93.5368,93.7028,93.8689,94.034,94.1934,94.3511,94.5079,94.6648,94.8217,94.9786,95.1355,95.2923,95.4425,95.5899,95.7279,95.8643,95.9972,96.1168,96.2364,96.354,96.4712,96.5848,96.6921,96.7956,96.8952,96.9949,97.0898,97.1842,97.2777,97.3663,97.4537,97.5409,97.6241,97.7033,97.7781,97.845,97.9115,97.9779,98.0399,98.0936,98.1434,98.1932,98.243,98.2928,98.3417,98.3877,98.433,98.4773,98.5216,98.5624,98.6023,98.6421,98.682,98.7219,98.7591,98.7953,98.8316,98.8636,98.8921,98.9206,98.9472,98.9704,98.9903,99.0086,99.0267,99.0448,99.063,99.0811,99.0992,99.1173,99.1354,99.1535,99.1704,99.1852,99.1999,99.2147,99.2295,99.2442,99.259,99.2738,99.2884,99.303,99.3176,99.3322,99.3467,99.3613,99.3757,99.3899,99.4036,99.4168,99.4294,99.4411,99.4529,99.4646,99.4763,99.4863,99.4947,99.5031,99.5115,99.5199,99.5284,99.5368,99.5452,99.5536,99.562,99.5704,99.5787,99.587,99.5953,99.6036,99.6119,99.6202,99.6286,99.6369,99.6452,99.6535,99.6601,99.6665,99.673,99.6794,99.6855,99.6912,99.6969,99.7026,99.7083,99.714,99.7197,99.7254,99.7311,99.7368,99.742,99.7461,99.7501,99.7542,99.7583,99.7623,99.7664,99.7703,99.7737,99.777,99.7803,99.7836,99.7869,99.7903,99.7936,99.7969,99.7996,99.8019,99.8041,99.8064,99.8086,99.8108,99.8131,99.8153,99.8176,99.8198,99.822,99.8243,99.8265,99.8283,99.83,99.8316,99.8332,99.8348,99.8365,99.8381,99.8397,99.8414,99.843,99.8446,99.8462,99.8479,99.8495,99.8511,99.8527,99.8544,99.856,99.8576,99.8592,99.8609,99.8625,99.8641,99.8658,99.8674,99.869,99.8706,99.8723,99.8739,99.8755,99.8771,99.8788,99.8804,99.882,99.8836,99.8853,99.8869,99.8885,99.8902,99.8918,99.8934,99.895,99.8967,99.8983,99.8999,99.9015,99.9032,99.9048,99.9064,99.9081,99.9097,99.9113,99.9129,99.9146,99.9162,99.9178,99.9194,99.9211,99.9227,99.9243,99.9259,99.9276,99.9292,99.9308,99.9325,99.9341,99.9357,99.9373,99.939,99.9406,99.9422,99.9433,99.9443,99.9452,99.9462,99.9472,99.9482,99.9492,99.9501,99.9511,99.9521,99.9531,99.9541,99.9551,99.956,99.957,99.958,99.959,99.96,99.9609,99.9619,99.9629,99.9639,99.9649,99.9659,99.9668,99.9678,99.9688,99.9698,99.9708,99.9717,99.9727,99.9737,99.9747,99.9757,99.9767,99.9776,99.9786,99.9796,99.9806,99.9816,99.9825,99.9835,99.9845,99.9855,99.9865,99.9874,99.9884,99.9894,99.9904,99.9914,99.9924,99.9933,99.9943,99.9953,99.9963,99.9973,99.9982,99.9992,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			}
-		]
-	},
-	"testEvaluationReport": {
-		"reportType": "Evaluation",
-		"evaluationType": "Test",
-		"summary": {
-			"dictionary": "Spiral",
-			"database": ".\/Spiral10000.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Exclude sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 3079,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "1"
-		},
-		"predictorsPerformance": [
-			{
-				"rank": "R1",
-				"type": "Classifier",
-				"family": "Data Grid",
-				"name": "Data Grid",
-				"accuracy": 0.934394,
-				"compression": 0.559439,
-				"auc": 0.966119
-			}
-		],
-		"predictorsDetailedPerformance": {
-			"R1": {
-				"confusionMatrix": {
-					"values": ["0","1"],
-					"matrix": [
-						[1412,81],
-						[121,1465]
-					]
-				}
-			}
-		},
-		"liftCurves": [
-			{
-				"targetValue": "0",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.200848,0.401696,0.602544,0.803392,1.00424,1.20509,1.40594,1.60678,1.80763,2.00848,2.20933,2.41018,2.61102,2.81187,3.01272,3.21357,3.41442,3.61526,3.81611,4.01696,4.21781,4.41866,4.6195,4.82035,5.0212,5.22205,5.4229,5.62374,5.82459,6.02544,6.22629,6.42714,6.62798,6.82883,7.02968,7.23053,7.43138,7.63222,7.83307,8.03392,8.23477,8.43562,8.63646,8.83731,9.03816,9.23901,9.43986,9.6407,9.84155,10.0424,10.2432,10.4441,10.6449,10.8458,11.0466,11.2475,11.4483,11.6492,11.85,12.0509,12.2517,12.4526,12.6534,12.8543,13.0551,13.256,13.4568,13.6577,13.8585,14.0594,14.2602,14.4611,14.6619,14.8628,15.0636,15.2644,15.4653,15.6661,15.867,16.0678,16.2687,16.4695,16.6704,16.8712,17.0721,17.2729,17.4738,17.6746,17.8755,18.0763,18.2772,18.478,18.6789,18.8797,19.0806,19.2814,19.4823,19.6831,19.884,20.0848,20.2856,20.4865,20.6873,20.8882,21.089,21.2899,21.4907,21.6916,21.8924,22.0933,22.2941,22.495,22.6958,22.8967,23.0975,23.2984,23.4992,23.7001,23.9009,24.1018,24.3026,24.5035,24.7043,24.9052,25.106,25.3068,25.5077,25.7085,25.9094,26.1102,26.3111,26.5119,26.7128,26.9136,27.1145,27.3153,27.5162,27.717,27.9179,28.1187,28.3196,28.5204,28.7213,28.9221,29.123,29.3238,29.5247,29.7255,29.9264,30.1272,30.328,30.5289,30.7297,30.9306,31.1314,31.3323,31.5331,31.734,31.9348,32.1357,32.3365,32.5374,32.7382,32.9391,33.1399,33.3408,33.5416,33.7425,33.9433,34.1442,34.345,34.5459,34.7467,34.9476,35.1484,35.3492,35.5501,35.7509,35.9518,36.1526,36.3535,36.5543,36.7552,36.956,37.1569,37.3577,37.5586,37.7594,37.9603,38.1611,38.362,38.5628,38.7637,38.9645,39.1654,39.3662,39.5671,39.7679,39.9688,40.1696,40.3705,40.5713,40.7721,40.973,41.1738,41.3747,41.5755,41.7764,41.9772,42.1781,42.3789,42.5798,42.7806,42.9815,43.1823,43.3832,43.584,43.7849,43.9857,44.1866,44.3874,44.5883,44.7891,44.99,45.1908,45.3917,45.5925,45.7933,45.9942,46.195,46.3959,46.5967,46.7976,46.9984,47.1993,47.4001,47.601,47.8018,48.0027,48.2035,48.4044,48.6052,48.8061,49.0069,49.2078,49.4086,49.6095,49.8103,50.0112,50.212,50.4129,50.6137,50.8145,51.0154,51.2162,51.4171,51.6179,51.8188,52.0196,52.2205,52.4213,52.6222,52.823,53.0239,53.2247,53.4256,53.6264,53.8273,54.0281,54.229,54.4298,54.6307,54.8315,55.0324,55.2332,55.4341,55.6349,55.8357,56.0366,56.2374,56.4383,56.6391,56.84,57.0408,57.2417,57.4425,57.6434,57.8442,58.0451,58.2459,58.4468,58.6476,58.8485,59.0493,59.2502,59.451,59.6519,59.8527,60.0536,60.2544,60.4553,60.6561,60.8569,61.0578,61.2586,61.4595,61.6603,61.8612,62.062,62.2629,62.4637,62.6646,62.8654,63.0663,63.2671,63.468,63.6688,63.8697,64.0705,64.2714,64.4722,64.6731,64.8739,65.0748,65.2756,65.4765,65.6773,65.8781,66.079,66.2798,66.4807,66.6815,66.8824,67.0832,67.2841,67.4849,67.6858,67.8866,68.0875,68.2883,68.4892,68.69,68.8909,69.0917,69.2926,69.4934,69.6943,69.8951,70.096,70.2968,70.4977,70.6985,70.8993,71.1002,71.301,71.5019,71.7027,71.9036,72.1044,72.3053,72.5061,72.707,72.9078,73.1087,73.3095,73.5104,73.7112,73.9121,74.1129,74.3138,74.5146,74.7155,74.9163,75.1172,75.318,75.5189,75.7197,75.9205,76.1214,76.3222,76.5231,76.7239,76.9248,77.1256,77.3265,77.5273,77.7282,77.929,78.1299,78.3307,78.5316,78.7324,78.9333,79.1341,79.335,79.5358,79.7367,79.9375,80.1384,80.3392,80.5401,80.7409,80.9417,81.1426,81.3434,81.5443,81.7451,81.946,82.1468,82.3477,82.5485,82.7494,82.9502,83.1511,83.3519,83.5528,83.7536,83.9545,84.1553,84.3562,84.557,84.7579,84.9587,85.1596,85.3604,85.5613,85.7621,85.9629,86.1638,86.3646,86.5655,86.7663,86.9672,87.168,87.3689,87.5697,87.7706,87.9714,88.1723,88.3731,88.574,88.7748,88.9757,89.1765,89.3774,89.5782,89.7791,89.9799,90.1808,90.3816,90.5825,90.7833,90.9841,91.185,91.3858,91.5867,91.7875,91.9884,92.1892,92.3901,92.5909,92.7918,92.9926,93.1935,93.3943,93.5952,93.796,93.9969,94.1977,94.3986,94.5994,94.8003,95.0011,95.202,95.4028,95.6037,95.8045,96.0053,96.2062,96.407,96.6079,96.8087,97.0096,97.2104,97.4113,97.6121,97.813,98.0138,98.2147,98.4155,98.6164,98.8172,99.0181,99.2189,99.4198,99.6206,99.8215,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Data Grid",
-						"values": [0,0.195827,0.391654,0.58748,0.783307,0.979134,1.17496,1.37079,1.56661,1.76244,1.95827,2.15409,2.34992,2.54579,2.74664,2.94749,3.14834,3.34918,3.55003,3.75088,3.95173,4.15258,4.35342,4.55427,4.75512,4.95597,5.15682,5.35766,5.55851,5.75936,5.96021,6.16106,6.3619,6.56275,6.7636,6.96445,7.1653,7.36614,7.56699,7.76784,7.96869,8.16954,8.37038,8.57123,8.77208,8.97293,9.17378,9.37462,9.56817,9.75646,9.94476,10.1331,10.3213,10.5145,10.7153,10.9162,11.117,11.3179,11.5187,11.7196,11.9204,12.1213,12.3221,12.523,12.7238,12.9247,13.1255,13.3264,13.5272,13.728,13.9289,14.1297,14.3256,14.5041,14.6827,14.8612,15.0397,15.2183,15.4052,15.6061,15.8069,16.0078,16.2086,16.4095,16.6103,16.8097,17.0045,17.1993,17.394,17.5888,17.7835,17.9783,18.1731,18.3678,18.5626,18.7574,18.9553,19.1561,19.3569,19.5578,19.7586,19.9595,20.1603,20.3612,20.5509,20.7363,20.9217,21.1071,21.2925,21.4779,21.6633,21.8487,22.0341,22.2195,22.4049,22.5903,22.7765,22.9774,23.1782,23.3791,23.5799,23.7808,23.9816,24.1825,24.3833,24.5841,24.785,24.9858,25.1867,25.3875,25.5884,25.7892,25.9901,26.1909,26.3894,26.5777,26.766,26.9543,27.1426,27.3309,27.5205,27.7102,27.8999,28.0896,28.2793,28.4677,28.6484,28.8292,29.01,29.2088,29.4097,29.6105,29.8114,30.0122,30.213,30.4139,30.6147,30.8156,31.0164,31.2173,31.4181,31.619,31.8106,31.976,32.1415,32.3069,32.4723,32.6377,32.8292,33.0301,33.2309,33.4318,33.6257,33.8132,34.0006,34.1881,34.3755,34.563,34.7505,34.9379,35.1254,35.3128,35.4589,35.5928,35.7819,35.9827,36.1836,36.3844,36.5853,36.7861,36.987,37.1878,37.3886,37.5895,37.7903,37.9912,38.183,38.3727,38.5624,38.7521,38.9418,39.1315,39.3223,39.5131,39.7039,39.8947,40.0855,40.2763,40.4718,40.6726,40.8735,41.0743,41.2751,41.4239,41.5368,41.6498,41.7628,41.8758,42.0218,42.2182,42.4145,42.6108,42.8072,43.0035,43.1998,43.3962,43.5925,43.7888,43.9852,44.1815,44.3778,44.5742,44.7705,44.9668,45.1632,45.3595,45.5558,45.7522,45.9485,46.1448,46.3412,46.5375,46.7339,46.9302,47.1265,47.3229,47.5192,47.7155,47.9119,48.1082,48.3045,48.5009,48.6972,48.8935,49.0899,49.2862,49.4825,49.6789,49.8752,50.0715,50.2679,50.4642,50.6605,50.8569,51.0532,51.2495,51.4459,51.6422,51.8386,52.0349,52.2312,52.4276,52.6239,52.8202,53.0166,53.2129,53.4104,53.6088,53.8072,54.0056,54.204,54.4024,54.6008,54.7992,54.9976,55.196,55.3944,55.5928,55.7912,55.9896,56.188,56.3864,56.5848,56.7832,56.9816,57.18,57.3784,57.5768,57.7752,57.9736,58.172,58.3704,58.5688,58.7672,58.9656,59.164,59.3624,59.5608,59.7592,59.9576,60.156,60.3544,60.5528,60.7512,60.9496,61.148,61.3464,61.5448,61.7432,61.9416,62.14,62.3384,62.5368,62.7352,62.9336,63.132,63.3304,63.5288,63.7272,63.9256,64.124,64.3224,64.5208,64.7192,64.9176,65.116,65.3144,65.5128,65.7112,65.9096,66.108,66.3063,66.5047,66.7031,66.9015,67.0999,67.2983,67.4967,67.6951,67.8935,68.0919,68.2903,68.4887,68.6871,68.8855,69.0839,69.2784,69.471,69.6637,69.8563,70.049,70.2416,70.4343,70.6269,70.8196,71.0122,71.2049,71.3975,71.5902,71.7828,71.9755,72.1681,72.3671,72.568,72.7688,72.9697,73.1705,73.3714,73.5722,73.7731,73.9739,74.1748,74.3756,74.5765,74.7773,74.9781,75.179,75.3798,75.5807,75.7815,75.9824,76.1832,76.376,76.5685,76.761,76.9535,77.1459,77.3384,77.5309,77.7248,77.9256,78.1265,78.3197,78.5071,78.6946,78.8821,79.0695,79.2663,79.4672,79.668,79.8538,80.0352,80.2166,80.398,80.5794,80.7609,80.9423,81.1237,81.3051,81.4865,81.658,81.8253,81.9927,82.1601,82.3546,82.5554,82.7563,82.9571,83.158,83.3588,83.5597,83.7556,83.949,84.1424,84.3358,84.5292,84.7226,84.916,85.1094,85.3029,85.4696,85.6332,85.7969,85.9606,86.1242,86.2879,86.4515,86.6152,86.7836,86.9844,87.1853,87.3861,87.5312,87.7226,87.9234,88.11,88.2645,88.419,88.5735,88.7282,88.8844,89.0406,89.1986,89.366,89.5334,89.7008,89.8681,90.0355,90.1627,90.2029,90.3416,90.5242,90.7068,90.8867,91.0474,91.1617,91.2134,91.259,91.3279,91.4484,91.5499,91.6829,91.816,91.9399,92.0349,92.114,92.1825,92.2509,92.3194,92.3879,92.4563,92.5248,92.5933,92.6618,92.7302,92.7987,92.8672,92.9356,93.0041,93.0726,93.167,93.3018,93.4691,93.5987,93.6801,93.7088,93.7375,93.8373,93.9378,94.0514,94.1416,94.1714,94.2011,94.2309,94.2606,94.2904,94.3202,94.3499,94.3797,94.4292,94.4895,94.5498,94.6396,94.7592,94.8514,94.8879,94.9244,94.961,95.0051,95.0543,95.1007,95.147,95.1934,95.2387,95.2549,95.2712,95.2875,95.3038,95.3201,95.3364,95.3527,95.3689,95.3852,95.4015,95.4178,95.4338,95.4508,95.4754,95.5,95.5246,95.5492,95.5738,95.5984,95.623,95.6476,95.6722,95.6968,95.7214,95.746,95.7706,95.7951,95.8197,95.8382,95.855,95.8717,95.8884,95.8904,95.8904,95.8904,95.9054,95.929,95.9526,95.9763,95.9999,96.0246,96.0581,96.0916,96.1251,96.1621,96.2123,96.2626,96.3128,96.363,96.4132,96.4634,96.5136,96.5638,96.614,96.6643,96.6968,96.7255,96.7542,96.7829,96.8089,96.828,96.8472,96.8663,96.8854,96.9046,96.9237,96.9341,96.9341,96.9341,96.9566,96.9989,97.0412,97.0834,97.1257,97.168,97.195,97.195,97.195,97.1983,97.227,97.2557,97.3122,97.374,97.4358,97.4976,97.5212,97.5212,97.5212,97.5212,97.5212,97.5212,97.5212,97.5212,97.5241,97.5408,97.5576,97.5743,97.5975,97.6377,97.6778,97.718,97.7582,97.7984,97.8385,97.8563,97.8678,97.8793,97.8907,97.9022,97.9137,97.9252,97.9367,97.9481,97.9596,97.9711,97.982,97.992,98.0021,98.0121,98.0221,98.0322,98.0422,98.0523,98.0623,98.0723,98.0824,98.0924,98.1025,98.1189,98.144,98.1691,98.1942,98.2193,98.2444,98.2695,98.2946,98.3192,98.3436,98.3679,98.3923,98.4166,98.441,98.4653,98.4897,98.514,98.5383,98.5627,98.5832,98.6032,98.6233,98.6434,98.6635,98.6836,98.7037,98.7238,98.7438,98.7615,98.7671,98.7727,98.7783,98.7838,98.7894,98.795,98.8006,98.8062,98.8117,98.8173,98.8229,98.8364,98.8587,98.881,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8911,98.8976,98.9069,98.9163,98.9256,98.9349,98.9443,98.9536,98.963,98.9723,98.9816,98.991,99.0003,99.0097,99.019,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0215,99.0267,99.0373,99.0479,99.0584,99.069,99.0796,99.0868,99.0868,99.0868,99.0876,99.0997,99.1117,99.1238,99.1358,99.1479,99.1599,99.172,99.184,99.1961,99.2081,99.2202,99.2322,99.2443,99.2564,99.2684,99.2805,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2825,99.2886,99.3004,99.3122,99.324,99.3358,99.3476,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3477,99.3514,99.3583,99.3652,99.3722,99.3791,99.386,99.3929,99.3999,99.4068,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4129,99.4138,99.4225,99.4313,99.44,99.4487,99.4575,99.4662,99.4749,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4781,99.4923,99.507,99.5217,99.5364,99.5511,99.5658,99.5805,99.5952,99.6099,99.6246,99.6393,99.654,99.6687,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6738,99.6872,99.7083,99.7295,99.7506,99.7718,99.7929,99.8087,99.8183,99.8278,99.8374,99.847,99.8565,99.8661,99.8757,99.8852,99.8948,99.9044,99.9139,99.9235,99.933,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9348,99.9389,99.9441,99.9492,99.9544,99.9595,99.9647,99.9698,99.975,99.9801,99.9853,99.9904,99.9956,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					}
-				]
-			},
-			{
-				"targetValue": "1",
-				"curves": [
-					{
-						"classifier": "Optimal",
-						"values": [0,0.199159,0.398318,0.597477,0.796636,0.995796,1.19495,1.39411,1.59327,1.79243,1.99159,2.19075,2.38991,2.58907,2.78823,2.98739,3.18655,3.38571,3.58486,3.78402,3.98318,4.18234,4.3815,4.58066,4.77982,4.97898,5.17814,5.3773,5.57646,5.77561,5.97477,6.17393,6.37309,6.57225,6.77141,6.97057,7.16973,7.36889,7.56805,7.76721,7.96636,8.16552,8.36468,8.56384,8.763,8.96216,9.16132,9.36048,9.55964,9.7588,9.95796,10.1571,10.3563,10.5554,10.7546,10.9538,11.1529,11.3521,11.5512,11.7504,11.9495,12.1487,12.3479,12.547,12.7462,12.9453,13.1445,13.3437,13.5428,13.742,13.9411,14.1403,14.3395,14.5386,14.7378,14.9369,15.1361,15.3353,15.5344,15.7336,15.9327,16.1319,16.331,16.5302,16.7294,16.9285,17.1277,17.3268,17.526,17.7252,17.9243,18.1235,18.3226,18.5218,18.721,18.9201,19.1193,19.3184,19.5176,19.7168,19.9159,20.1151,20.3142,20.5134,20.7125,20.9117,21.1109,21.31,21.5092,21.7083,21.9075,22.1067,22.3058,22.505,22.7041,22.9033,23.1025,23.3016,23.5008,23.6999,23.8991,24.0983,24.2974,24.4966,24.6957,24.8949,25.094,25.2932,25.4924,25.6915,25.8907,26.0898,26.289,26.4882,26.6873,26.8865,27.0856,27.2848,27.484,27.6831,27.8823,28.0814,28.2806,28.4798,28.6789,28.8781,29.0772,29.2764,29.4755,29.6747,29.8739,30.073,30.2722,30.4713,30.6705,30.8697,31.0688,31.268,31.4671,31.6663,31.8655,32.0646,32.2638,32.4629,32.6621,32.8613,33.0604,33.2596,33.4587,33.6579,33.8571,34.0562,34.2554,34.4545,34.6537,34.8528,35.052,35.2512,35.4503,35.6495,35.8486,36.0478,36.247,36.4461,36.6453,36.8444,37.0436,37.2428,37.4419,37.6411,37.8402,38.0394,38.2386,38.4377,38.6369,38.836,39.0352,39.2343,39.4335,39.6327,39.8318,40.031,40.2301,40.4293,40.6285,40.8276,41.0268,41.2259,41.4251,41.6243,41.8234,42.0226,42.2217,42.4209,42.6201,42.8192,43.0184,43.2175,43.4167,43.6158,43.815,44.0142,44.2133,44.4125,44.6116,44.8108,45.01,45.2091,45.4083,45.6074,45.8066,46.0058,46.2049,46.4041,46.6032,46.8024,47.0016,47.2007,47.3999,47.599,47.7982,47.9973,48.1965,48.3957,48.5948,48.794,48.9931,49.1923,49.3915,49.5906,49.7898,49.9889,50.1881,50.3873,50.5864,50.7856,50.9847,51.1839,51.3831,51.5822,51.7814,51.9805,52.1797,52.3788,52.578,52.7772,52.9763,53.1755,53.3746,53.5738,53.773,53.9721,54.1713,54.3704,54.5696,54.7688,54.9679,55.1671,55.3662,55.5654,55.7646,55.9637,56.1629,56.362,56.5612,56.7603,56.9595,57.1587,57.3578,57.557,57.7561,57.9553,58.1545,58.3536,58.5528,58.7519,58.9511,59.1503,59.3494,59.5486,59.7477,59.9469,60.1461,60.3452,60.5444,60.7435,60.9427,61.1418,61.341,61.5402,61.7393,61.9385,62.1376,62.3368,62.536,62.7351,62.9343,63.1334,63.3326,63.5318,63.7309,63.9301,64.1292,64.3284,64.5276,64.7267,64.9259,65.125,65.3242,65.5234,65.7225,65.9217,66.1208,66.32,66.5191,66.7183,66.9175,67.1166,67.3158,67.5149,67.7141,67.9133,68.1124,68.3116,68.5107,68.7099,68.9091,69.1082,69.3074,69.5065,69.7057,69.9049,70.104,70.3032,70.5023,70.7015,70.9006,71.0998,71.299,71.4981,71.6973,71.8964,72.0956,72.2948,72.4939,72.6931,72.8922,73.0914,73.2906,73.4897,73.6889,73.888,74.0872,74.2864,74.4855,74.6847,74.8838,75.083,75.2821,75.4813,75.6805,75.8796,76.0788,76.2779,76.4771,76.6763,76.8754,77.0746,77.2737,77.4729,77.6721,77.8712,78.0704,78.2695,78.4687,78.6679,78.867,79.0662,79.2653,79.4645,79.6636,79.8628,80.062,80.2611,80.4603,80.6594,80.8586,81.0578,81.2569,81.4561,81.6552,81.8544,82.0536,82.2527,82.4519,82.651,82.8502,83.0494,83.2485,83.4477,83.6468,83.846,84.0451,84.2443,84.4435,84.6426,84.8418,85.0409,85.2401,85.4393,85.6384,85.8376,86.0367,86.2359,86.4351,86.6342,86.8334,87.0325,87.2317,87.4309,87.63,87.8292,88.0283,88.2275,88.4266,88.6258,88.825,89.0241,89.2233,89.4224,89.6216,89.8208,90.0199,90.2191,90.4182,90.6174,90.8166,91.0157,91.2149,91.414,91.6132,91.8124,92.0115,92.2107,92.4098,92.609,92.8082,93.0073,93.2065,93.4056,93.6048,93.8039,94.0031,94.2023,94.4014,94.6006,94.7997,94.9989,95.1981,95.3972,95.5964,95.7955,95.9947,96.1939,96.393,96.5922,96.7913,96.9905,97.1897,97.3888,97.588,97.7871,97.9863,98.1854,98.3846,98.5838,98.7829,98.9821,99.1812,99.3804,99.5796,99.7787,99.9779,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
-					},
-					{
-						"classifier": "Data Grid",
-						"values": [0,0.199159,0.398318,0.597477,0.796636,0.995796,1.19495,1.39411,1.59327,1.79243,1.99159,2.19075,2.38991,2.58907,2.78823,2.98739,3.18655,3.38571,3.58486,3.78402,3.98318,4.17793,4.37198,4.56604,4.76009,4.95414,5.14819,5.34225,5.5363,5.73035,5.9244,6.11846,6.31251,6.50757,6.70673,6.90589,7.10505,7.3042,7.50336,7.70252,7.90168,8.10084,8.3,8.49916,8.69832,8.89577,9.08544,9.27512,9.46479,9.65447,9.84414,10.0338,10.2235,10.4132,10.6028,10.7925,10.9822,11.1719,11.3615,11.545,11.7232,11.9014,12.0796,12.2578,12.436,12.6219,12.8211,13.0202,13.2194,13.4186,13.6177,13.8169,14.016,14.2152,14.4144,14.6135,14.8127,15.0067,15.1913,15.3759,15.5605,15.7451,15.9296,16.1142,16.2988,16.4834,16.668,16.8526,17.0372,17.2217,17.4069,17.606,17.8052,18.0043,18.2035,18.4027,18.6018,18.801,19.0001,19.1993,19.3984,19.5976,19.7968,19.9927,20.1832,20.3737,20.5642,20.7547,20.9452,21.1357,21.3262,21.5245,21.7237,21.9228,22.122,22.3212,22.5203,22.7195,22.9186,23.1178,23.3169,23.5161,23.7153,23.9144,24.1136,24.3127,24.5119,24.7111,24.9102,25.1094,25.3085,25.5077,25.7069,25.906,26.1052,26.3043,26.5035,26.7027,26.9018,27.101,27.3001,27.4993,27.6984,27.8976,28.0968,28.2959,28.4951,28.6942,28.8934,29.0926,29.2917,29.4909,29.69,29.8892,30.0884,30.2875,30.4867,30.6858,30.885,31.0842,31.2833,31.4764,31.6687,31.861,32.0533,32.2456,32.4379,32.6302,32.8224,33.0147,33.2102,33.4094,33.6085,33.8077,34.0069,34.206,34.4052,34.6043,34.8035,35.0027,35.2018,35.401,35.6001,35.7993,35.9984,36.1976,36.3968,36.5959,36.7951,36.9942,37.1934,37.3808,37.5683,37.7557,37.9431,38.1306,38.3237,38.5228,38.722,38.9212,39.1203,39.3195,39.5186,39.7178,39.9169,40.1161,40.3153,40.5144,40.7136,40.9108,41.098,41.2852,41.4724,41.6596,41.8468,42.034,42.2212,42.4084,42.5956,42.7829,42.9701,43.1573,43.3445,43.5317,43.7189,43.9061,44.1044,44.3036,44.5027,44.6948,44.8834,45.0721,45.2608,45.4495,45.6381,45.8321,46.0313,46.2305,46.4296,46.6288,46.8279,47.0271,47.2263,47.4254,47.6246,47.8237,48.0229,48.2221,48.4212,48.6204,48.8195,49.0162,49.2061,49.396,49.5859,49.7758,49.9657,50.1556,50.3455,50.5354,50.7253,50.9152,51.1051,51.295,51.4848,51.6776,51.8767,52.0759,52.275,52.4742,52.6734,52.8725,53.0717,53.2708,53.47,53.6691,53.8683,54.0675,54.2666,54.4658,54.6649,54.8641,55.0633,55.2624,55.4616,55.6607,55.8599,56.0591,56.2582,56.4574,56.6565,56.8557,57.0549,57.254,57.4532,57.6523,57.8415,58.0186,58.1956,58.3814,58.575,58.7686,58.9623,59.1559,59.3495,59.5431,59.7368,59.9304,60.124,60.3176,60.5113,60.6929,60.8721,61.0514,61.2306,61.4099,61.5891,61.7684,61.9476,62.1268,62.3057,62.4807,62.6557,62.8308,63.0058,63.1808,63.3558,63.5308,63.7058,63.8809,64.0559,64.2306,64.4049,64.5791,64.7534,64.9277,65.1019,65.2762,65.4505,65.6334,65.8226,66.0118,66.201,66.3902,66.5794,66.7686,66.9578,67.147,67.3362,67.5254,67.7146,67.9038,68.0922,68.2799,68.4677,68.6555,68.8433,69.031,69.2188,69.4066,69.5944,69.7822,69.9699,70.1515,70.3108,70.4701,70.6294,70.7888,70.9481,71.1074,71.2836,71.4661,71.6487,71.8313,72.0276,72.2267,72.4259,72.625,72.8242,73.0234,73.2225,73.4217,73.5974,73.7353,73.8731,74.011,74.1542,74.3249,74.4956,74.6915,74.8907,75.0898,75.2622,75.4194,75.5767,75.7339,75.8911,76.0484,76.2252,76.4244,76.6235,76.8124,76.9926,77.1727,77.3529,77.5331,77.7133,77.8935,78.0668,78.2375,78.4082,78.579,78.7459,78.8952,79.0446,79.194,79.3433,79.4927,79.6421,79.7914,79.9408,80.0902,80.2396,80.402,80.5679,80.7339,80.8998,81.0745,81.2502,81.4259,81.6017,81.7774,81.9617,82.1609,82.36,82.5572,82.7398,82.9223,83.1049,83.2857,83.4605,83.6353,83.8101,83.9848,84.1596,84.3344,84.5092,84.6839,84.8587,85.0335,85.2082,85.383,85.5578,85.7326,85.9073,86.0896,86.2729,86.4559,86.6389,86.8219,87.0049,87.1879,87.371,87.554,87.737,87.92,88.103,88.286,88.4402,88.5934,88.7466,88.8998,89.0502,89.2056,89.3685,89.5315,89.6944,89.8022,89.8828,89.9928,90.1322,90.2716,90.4216,90.5913,90.7609,90.9306,91.1002,91.2699,91.4395,91.6092,91.7789,91.8885,91.975,92.0746,92.1748,92.3455,92.5162,92.6346,92.7053,92.7385,92.804,92.9095,93.0408,93.1721,93.3033,93.4346,93.5659,93.6971,93.8284,93.9597,94.0909,94.2222,94.3535,94.4847,94.616,94.7472,94.8679,94.9729,95.0492,95.1164,95.1837,95.2823,95.3619,95.4927,95.6467,95.7945,95.8804,95.9202,95.9409,95.959,95.9771,96.0388,96.1981,96.2711,96.3043,96.3375,96.3707,96.4039,96.4371,96.4795,96.5238,96.568,96.6139,96.6598,96.7058,96.7517,96.7658,96.7658,96.7753,96.8305,96.8305,96.8305,96.8305,96.8627,96.8996,96.9365,96.9734,97.0102,97.0471,97.084,97.1209,97.1547,97.1621,97.1695,97.1768,97.1842,97.1916,97.199,97.2063,97.2137,97.2186,97.2186,97.2186,97.2186,97.2186,97.2186,97.2186,97.2249,97.2581,97.2913,97.3245,97.3536,97.3729,97.3922,97.4114,97.4307,97.45,97.4693,97.4885,97.5078,97.5271,97.542,97.542,97.542,97.546,97.5593,97.5726,97.5859,97.5991,97.6067,97.6067,97.6067,97.6136,97.6219,97.6302,97.6385,97.6468,97.6551,97.6634,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6714,97.6732,97.6814,97.6895,97.6976,97.7058,97.7139,97.722,97.7301,97.7383,97.7464,97.7545,97.7627,97.7708,97.7789,97.787,97.7952,97.8015,97.804,97.8064,97.8088,97.8112,97.8137,97.8161,97.8185,97.821,97.8234,97.8258,97.8282,97.8307,97.8331,97.8355,97.838,97.8404,97.8428,97.8452,97.8477,97.8501,97.8525,97.855,97.8574,97.8598,97.8622,97.8647,97.8671,97.8695,97.872,97.8744,97.8768,97.8793,97.8817,97.8841,97.8865,97.889,97.8914,97.8938,97.8963,97.8987,97.9011,97.9035,97.906,97.9084,97.9108,97.9133,97.9157,97.9181,97.9205,97.923,97.9254,97.9278,97.9303,97.9327,97.9351,97.9375,97.94,97.9424,97.9448,97.9473,97.9497,97.9521,97.9545,97.957,97.9594,97.9618,97.9643,97.9667,97.9691,97.9715,97.974,97.9764,97.9788,97.9813,97.9837,97.9861,97.9885,97.991,97.9934,97.9967,98.0012,98.0056,98.0101,98.0146,98.0191,98.0235,98.028,98.0325,98.037,98.0414,98.0459,98.0504,98.0549,98.0593,98.0638,98.0683,98.0728,98.0772,98.0817,98.0862,98.0907,98.0951,98.0996,98.1041,98.1086,98.113,98.1175,98.122,98.1265,98.1309,98.1354,98.1399,98.1444,98.1488,98.1533,98.1578,98.1623,98.1667,98.1712,98.1757,98.1802,98.1846,98.1891,98.1936,98.1981,98.2026,98.207,98.2115,98.216,98.2205,98.2249,98.2294,98.2339,98.2384,98.2428,98.2473,98.2518,98.3061,98.3932,98.4804,98.5675,98.6546,98.7063,98.7063,98.7063,98.7063,98.7063,98.7117,98.7216,98.7316,98.7415,98.7515,98.7615,98.7715,98.7825,98.7936,98.8046,98.8157,98.8268,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8357,98.8474,98.9138,98.9681,98.9814,98.9946,99.0079,99.0212,99.0345,99.0478,99.061,99.0743,99.0876,99.0944,99.0944,99.0944,99.0944,99.1036,99.1388,99.1739,99.2091,99.2442,99.2794,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2885,99.2905,99.3104,99.3303,99.3502,99.3626,99.3737,99.3847,99.3958,99.4069,99.4179,99.4304,99.4428,99.4553,99.4677,99.4802,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.4825,99.497,99.5124,99.5277,99.543,99.5583,99.5736,99.589,99.6043,99.6196,99.6349,99.6502,99.6656,99.6766,99.6766,99.6766,99.6766,99.6766,99.6766,99.6766,99.6766,99.6795,99.6856,99.6916,99.6976,99.7037,99.7097,99.7157,99.7218,99.7278,99.7338,99.7399,99.7413,99.7413,99.7413,99.7413,99.7413,99.7413,99.7413,99.755,99.7772,99.7993,99.8214,99.8436,99.8657,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8706,99.8783,99.8907,99.9032,99.9156,99.9281,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9353,99.9403,99.9452,99.9502,99.9552,99.9602,99.9651,99.9701,99.9751,99.9801,99.9851,99.99,99.995,100]
-					}
-				]
-			}
-		]
-	},
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "Spiral",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					1,
-					9
-				]
-			},
-			"database": ".\/Spiral10000.txt",
-			"samplePercentage": 70,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 6921,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"mainTargetValue": "1",
-			"targetDescriptiveStats": {
-				"values": 2,
-				"mode": "1",
-				"modeFrequency": 3473
-			},
-			"targetValues": {
-				"values": ["0","1"],
-				"frequencies": [3448,3473]
-			},
-			"evaluatedVariables": 9,
-			"nativeVariables": 2,
-			"constructedVariables": 7,
-			"informativeVariables": 9,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 8.84246,
-				"dataCost": 4792.58
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R1",
-				"name": "Z4",
-				"type": "Numerical",
-				"level": 0.0681452,
-				"parts": 20,
-				"values": 6921,
-				"min": -17.02891547,
-				"max": 19.4818361,
-				"mean": 0.3035238045,
-				"stdDev": 7.987344602,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 173.776,
-				"dataCost": 4298.21,
-				"derivationRule": "Sum(Product(X, 0.75), Product(Y, -0.25))"
-			},
-			{
-				"rank": "R2",
-				"name": "Z1",
-				"type": "Numerical",
-				"level": 0.0680193,
-				"parts": 14,
-				"values": 6921,
-				"min": -31.98646564,
-				"max": 27.54296154,
-				"mean": -0.9641589201,
-				"stdDev": 13.29728609,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 141.575,
-				"dataCost": 4331.01,
-				"derivationRule": "Sum(X, Y)"
-			},
-			{
-				"rank": "R3",
-				"name": "Z2",
-				"type": "Numerical",
-				"level": 0.0656913,
-				"parts": 12,
-				"values": 6921,
-				"min": -29.88621157,
-				"max": 34.36234837,
-				"mean": 1.089127069,
-				"stdDev": 14.34098313,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 131.357,
-				"dataCost": 4352.41,
-				"derivationRule": "Diff(X, Y)"
-			},
-			{
-				"rank": "R4",
-				"name": "Z7",
-				"type": "Numerical",
-				"level": 0.0656239,
-				"parts": 12,
-				"values": 6921,
-				"min": -16.48983359,
-				"max": 16.03564531,
-				"mean": -0.2975526991,
-				"stdDev": 7.05644413,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 116.551,
-				"dataCost": 4367.54,
-				"derivationRule": "Sum(Product(X, 0.66), Product(Y, 0.33))"
-			},
-			{
-				"rank": "R5",
-				"name": "Z6",
-				"type": "Numerical",
-				"level": 0.0646533,
-				"parts": 14,
-				"values": 6921,
-				"min": -16.3511413,
-				"max": 18.8869841,
-				"mean": 0.7856032646,
-				"stdDev": 7.818980237,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 148.503,
-				"dataCost": 4340.25,
-				"derivationRule": "Sum(Product(X, 0.25), Product(Y, -0.75))"
-			},
-			{
-				"rank": "R6",
-				"name": "Y",
-				"type": "Numerical",
-				"level": 0.0621941,
-				"parts": 12,
-				"values": 6921,
-				"min": -23.44425663,
-				"max": 20.11330762,
-				"mean": -1.026642995,
-				"stdDev": 9.641534203,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 139.193,
-				"dataCost": 4361.37
-			},
-			{
-				"rank": "R7",
-				"name": "Z5",
-				"type": "Numerical",
-				"level": 0.060812,
-				"parts": 16,
-				"values": 6921,
-				"min": -18.32264728,
-				"max": 15.82629912,
-				"mean": -0.7543612273,
-				"stdDev": 7.465107552,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 145.026,
-				"dataCost": 4362.17,
-				"derivationRule": "Sum(Product(X, 0.25), Product(Y, 0.75))"
-			},
-			{
-				"rank": "R8",
-				"name": "X",
-				"type": "Numerical",
-				"level": 0.0586063,
-				"parts": 13,
-				"values": 6921,
-				"min": -21.91698198,
-				"max": 25.02015277,
-				"mean": 0.06248407446,
-				"stdDev": 9.913708966,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 141.824,
-				"dataCost": 4375.97
-			},
-			{
-				"rank": "R9",
-				"name": "Z3",
-				"type": "Numerical",
-				"level": 0.0551605,
-				"parts": 16,
-				"values": 6921,
-				"min": -17.60767858,
-				"max": 18.40325434,
-				"mean": -0.2097976928,
-				"stdDev": 7.64127297,
-				"missingNumber": 0,
-				"constructionCost": 2.89037,
-				"preparationCost": 146.146,
-				"dataCost": 4388.19,
-				"derivationRule": "Sum(Product(X, 0.75), Product(Y, 0.25))"
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R1": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z4",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-17.02891547,-14.54867],
-								[-14.54867,-13.309],
-								[-13.309,-11.4956],
-								[-11.4956,-9.467],
-								[-9.467,-6.86658],
-								[-6.86658,-4.5779],
-								[-4.5779,-3.05916],
-								[-3.05916,-2.7347],
-								[-2.7347,2.3402],
-								[2.3402,3.94],
-								[3.94,5.6372],
-								[5.6372,6.9302],
-								[6.9302,8.3438],
-								[8.3438,9.5724],
-								[9.5724,10.9347],
-								[10.9347,11.9522],
-								[11.9522,14.381],
-								[14.381,16.4836],
-								[16.4836,17.2675],
-								[17.2675,19.4818361]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2,160],
-						[46,62],
-						[139,78],
-						[107,217],
-						[322,219],
-						[233,416],
-						[267,219],
-						[83,25],
-						[994,628],
-						[186,247],
-						[294,139],
-						[169,155],
-						[93,231],
-						[90,127],
-						[143,73],
-						[81,81],
-						[61,210],
-						[119,43],
-						[19,35],
-						[0,108]
-					],
-					"partInterests": [0.227323,0.00255029,0.0200699,0.0420083,0.0230618,0.0574184,0.00574433,0.037463,0.0967987,0.00921863,0.0651504,0.00080001,0.0672275,0.00684062,0.0265829,2.38009e-06,0.0963578,0.042387,0.00528964,0.167706]
-				}
-			},
-			"R2": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z1",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-31.98646564,-27.642],
-								[-27.642,-22.9554],
-								[-22.9554,-17.8],
-								[-17.8,-14.036],
-								[-14.036,-9.2369],
-								[-9.2369,0.6707],
-								[0.6707,3.175],
-								[3.175,5.0505],
-								[5.0505,9.81536],
-								[9.81536,13.895],
-								[13.895,17.606],
-								[17.606,22.6609],
-								[22.6609,23.143],
-								[23.143,27.54296154]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,135],
-						[154,117],
-						[146,286],
-						[271,162],
-						[263,413],
-						[984,638],
-						[391,149],
-						[230,176],
-						[316,549],
-						[294,220],
-						[132,273],
-						[259,174],
-						[7,20],
-						[1,161]
-					],
-					"partInterests": [0.218078,0.00625303,0.0529382,0.0334178,0.0380546,0.0900753,0.133727,0.0089011,0.0724735,0.0131568,0.0575351,0.0203985,0.00753556,0.247456]
-				}
-			},
-			"R3": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z2",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-29.88621157,-25.117],
-								[-25.117,-19.8352],
-								[-19.8352,-15.968],
-								[-15.968,-11.748],
-								[-11.748,-7.0676],
-								[-7.0676,10.668],
-								[10.668,16.2202],
-								[16.2202,19.479],
-								[19.479,25.294],
-								[25.294,28.104],
-								[28.104,30.0149],
-								[30.0149,34.36234837]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[2,147],
-						[204,161],
-						[92,273],
-						[327,200],
-						[242,420],
-						[1838,1204],
-						[235,427],
-						[174,96],
-						[169,291],
-						[120,56],
-						[45,63],
-						[0,135]
-					],
-					"partInterests": [0.224005,0.00655493,0.112491,0.0386919,0.0573428,0.167404,0.0669909,0.0284719,0.0387387,0.0295108,0.00350711,0.22629]
-				}
-			},
-			"R4": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z7",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-16.48983359,-13.988],
-								[-13.988,-13.3828],
-								[-13.3828,-11.753],
-								[-11.753,-9.00694],
-								[-9.00694,-7.0572],
-								[-7.0572,-4.8306],
-								[-4.8306,2.4982],
-								[2.4982,4.68089],
-								[4.68089,7.1345],
-								[7.1345,9.52288],
-								[9.52288,11.9428],
-								[11.9428,16.03564531]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[3,159],
-						[20,34],
-						[141,76],
-						[152,280],
-						[278,155],
-						[218,376],
-						[1568,974],
-						[238,465],
-						[385,264],
-						[168,318],
-						[236,143],
-						[41,229]
-					],
-					"partInterests": [0.246168,0.00454117,0.0257447,0.0477927,0.0461875,0.052652,0.183655,0.0928303,0.0299793,0.0584765,0.0301797,0.181793]
-				}
-			},
-			"R5": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z6",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-16.3511413,-13.8954],
-								[-13.8954,-13.1156],
-								[-13.1156,-10.8626],
-								[-10.8626,-8.909269],
-								[-8.909269,-6.3885],
-								[-6.3885,-3.9877],
-								[-3.9877,-2.894],
-								[-2.894,6.2747],
-								[6.2747,7.8143],
-								[7.8143,10.9556],
-								[10.9556,13.613],
-								[13.613,15.66],
-								[15.66,16.5086],
-								[16.5086,18.8869841]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[1,134],
-						[23,58],
-						[170,101],
-						[73,238],
-						[305,208],
-						[240,423],
-						[179,186],
-						[1720,1064],
-						[119,246],
-						[316,279],
-						[130,289],
-						[151,79],
-						[21,46],
-						[0,122]
-					],
-					"partInterests": [0.20821,0.0183646,0.0218077,0.108657,0.0228754,0.0595299,0.0001056,0.192003,0.0527894,0.00307728,0.0725108,0.0279929,0.011197,0.20088]
-				}
-			},
-			"R6": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Y",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-23.44425663,-20.35719],
-								[-20.35719,-19.507],
-								[-19.507,-16.4655],
-								[-16.4655,-14.196],
-								[-14.196,-10.071],
-								[-10.071,-7.2095],
-								[-7.2095,3.825659],
-								[3.825659,7.5927],
-								[7.5927,10.239762],
-								[10.239762,13.58308],
-								[13.58308,17.206],
-								[17.206,20.11330762]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,115],
-						[19,48],
-						[167,104],
-						[78,212],
-						[329,273],
-						[192,362],
-						[1729,1063],
-						[351,520],
-						[261,165],
-						[144,336],
-						[178,133],
-						[0,142]
-					],
-					"partInterests": [0.196458,0.0158166,0.0188776,0.0784985,0.00697323,0.0641625,0.204711,0.0393802,0.0278964,0.09614,0.00850192,0.242583]
-				}
-			},
-			"R7": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-18.32264728,-16.10333],
-								[-16.10333,-15.362],
-								[-15.362,-12.9261],
-								[-12.9261,-10.18919],
-								[-10.18919,-8.24059],
-								[-8.24059,-5.53],
-								[-5.53,0.1525],
-								[0.1525,2.4952],
-								[2.4952,3.3035],
-								[3.3035,5.693],
-								[5.693,8.1217],
-								[8.1217,9.6319],
-								[9.6319,10.76244],
-								[10.76244,13.053],
-								[13.053,13.6977],
-								[13.6977,15.82629912]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,108],
-						[12,42],
-						[162,109],
-						[138,294],
-						[231,148],
-						[264,384],
-						[960,663],
-						[650,323],
-						[144,126],
-						[269,488],
-						[316,225],
-						[71,199],
-						[68,94],
-						[157,114],
-						[6,48],
-						[0,108]
-					],
-					"partInterests": [0.1898,0.0222187,0.0137868,0.0720061,0.0241225,0.0273886,0.0724122,0.145834,0.00170054,0.0798995,0.0204458,0.0793479,0.00510398,0.00913184,0.0470016,0.1898]
-				}
-			},
-			"R8": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "X",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-21.91698198,-18.42],
-								[-18.42,-14.7465],
-								[-14.7465,-12.3476],
-								[-12.3476,-9.1214],
-								[-9.1214,-5.05664],
-								[-5.05664,2.846],
-								[2.846,5.1752],
-								[5.1752,9.07005],
-								[9.07005,12.353],
-								[12.353,15.432],
-								[15.432,18.19],
-								[18.19,21.669],
-								[21.669,25.02015277]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[3,173],
-						[200,138],
-						[66,191],
-						[347,207],
-						[352,513],
-						[1274,781],
-						[195,318],
-						[457,314],
-						[178,335],
-						[243,176],
-						[53,191],
-						[80,68],
-						[0,68]
-					],
-					"partInterests": [0.276577,0.0154835,0.0814638,0.0479026,0.0377526,0.160206,0.0376335,0.0360987,0.0621189,0.0146494,0.106607,0.00138387,0.122123]
-				}
-			},
-			"R9": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "Z3",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[-17.60767858,-15.004],
-								[-15.004,-13.803],
-								[-13.803,-12.3889],
-								[-12.3889,-11.28705],
-								[-11.28705,-10.219268],
-								[-10.219268,-9.277],
-								[-9.277,-7.5179],
-								[-7.5179,-4.902],
-								[-4.902,-0.2223],
-								[-0.2223,-0.0331],
-								[-0.0331,2.3106],
-								[2.3106,4.9736],
-								[4.9736,7.3306],
-								[7.3306,9.6114],
-								[9.6114,12.46885],
-								[12.46885,18.40325434]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["0","1"]
-						}
-					],
-					"partTargetFrequencies": [
-						[1,161],
-						[50,58],
-						[114,49],
-						[74,88],
-						[34,128],
-						[74,88],
-						[240,139],
-						[258,391],
-						[888,571],
-						[18,36],
-						[527,285],
-						[321,490],
-						[351,243],
-						[150,283],
-						[279,208],
-						[69,255]
-					],
-					"partInterests": [0.291675,0.00074107,0.0374529,0.00153579,0.0792967,0.00153579,0.0386284,0.0365841,0.0990444,0.00826607,0.103535,0.0473099,0.0283505,0.0560065,0.0150594,0.154978]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
diff --git a/tests/resources/analysis_results/ref_json_reports/Latin.khj b/tests/resources/analysis_results/ref_json_reports/Latin.khj
index ae9bc3fe..edd6338c 100644
--- a/tests/resources/analysis_results/ref_json_reports/Latin.khj
+++ b/tests/resources/analysis_results/ref_json_reports/Latin.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -125,7 +125,9 @@
 			"targetDescriptiveStats": {
 				"values": 2,
 				"mode": "ASCII",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ASCII","UTF8 Latin"],
@@ -133,8 +135,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -156,6 +160,8 @@
 				"values": 2,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 6.13404,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj b/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj
index 7f553c42..6a9847a4 100644
--- a/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj
+++ b/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -139,7 +139,9 @@
 			"targetDescriptiveStats": {
 				"values": 3,
 				"mode": "ASCII",
-				"modeFrequency": 10
+				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"targetValues": {
 				"values": ["ASCII","UTF8 Greek","UTF8 Latin"],
@@ -147,8 +149,10 @@
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -170,6 +174,8 @@
 				"values": 3,
 				"mode": "<a>",
 				"modeFrequency": 10,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
 				"preparationCost": 16.6153,
 				"dataCost": 0
diff --git a/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj b/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj
index 108647fc..34a22836 100644
--- a/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj
+++ b/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj
@@ -1,104 +1,105 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "IrisMissing",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					1,
-					1
-				]
-			},
-			"database": ".\/IrisMissing.txt",
-			"samplePercentage": 100,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 150,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-setosa",
-				"modeFrequency": 50
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [50,50,50]
-			},
-			"evaluatedVariables": 1,
-			"informativeVariables": 1,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODL",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 9.34801,
-				"dataCost": 159.587
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R1",
-				"name": "PW_UM40",
-				"type": "Numerical",
-				"level": 0.65628,
-				"parts": 4,
-				"values": 16,
-				"min": 0.1,
-				"max": 1.8,
-				"mean": 0.8654545455,
-				"stdDev": 0.5961141385,
-				"missingNumber": 40,
-				"constructionCost": 0.693147,
-				"preparationCost": 41.7703,
-				"dataCost": 15.8411
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R1": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_UM40",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.65],
-								[1.65,1.8]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,40],
-						[50,0,0],
-						[0,48,4],
-						[0,2,6]
-					],
-					"partInterests": [0.300596,0.375745,0.294313,0.0293466]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "10.0.0.3i",
+	"shortDescription": "",
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "IrisMissing",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					1
+				]
+			},
+			"database": ".\/IrisMissing.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 150,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 50
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [50,50,50]
+			},
+			"evaluatedVariables": 1,
+			"informativeVariables": 1,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 9.34801,
+				"dataCost": 159.587
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R1",
+				"name": "PW_UM40",
+				"type": "Numerical",
+				"level": 0.65628,
+				"parts": 4,
+				"values": 16,
+				"min": 0.1,
+				"max": 1.8,
+				"mean": 0.8654545455,
+				"stdDev": 0.5961141385,
+				"missingNumber": 40,
+				"constructionCost": 0.693147,
+				"preparationCost": 41.7703,
+				"dataCost": 15.8411
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_UM40",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.65],
+								[1.65,1.8]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,0,40],
+						[50,0,0],
+						[0,48,4],
+						[0,2,6]
+					],
+					"partInterests": [0.300596,0.375745,0.294313,0.0293466]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/MissingMODLEqualWidth.khj b/tests/resources/analysis_results/ref_json_reports/MissingMODLEqualWidth.khj
index b4224184..938cc916 100644
--- a/tests/resources/analysis_results/ref_json_reports/MissingMODLEqualWidth.khj
+++ b/tests/resources/analysis_results/ref_json_reports/MissingMODLEqualWidth.khj
@@ -1,1083 +1,1084 @@
-{
-	"tool": "Khiops",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"preparationReport": {
-		"reportType": "Preparation",
-		"summary": {
-			"dictionary": "IrisMissing",
-			"variables": {
-				"types": [
-					"Categorical",
-					"Numerical"
-				],
-				"numbers": [
-					1,
-					23
-				]
-			},
-			"database": ".\/IrisMissing.txt",
-			"samplePercentage": 100,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": "",
-			"instances": 150,
-			"learningTask": "Classification analysis",
-			"targetVariable": "Class",
-			"targetDescriptiveStats": {
-				"values": 3,
-				"mode": "Iris-setosa",
-				"modeFrequency": 50
-			},
-			"targetValues": {
-				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
-				"frequencies": [50,50,50]
-			},
-			"evaluatedVariables": 23,
-			"nativeVariables": 22,
-			"constructedVariables": 1,
-			"informativeVariables": 21,
-			"featureEngineering": {
-				"maxNumberOfConstructedVariables": 0,
-				"maxNumberOfTrees": 0,
-				"maxNumberOfVariablePairs": 0
-			},
-			"discretization": "MODLEqualWidth",
-			"valueGrouping": "MODL",
-			"nullModel": {
-				"constructionCost": 0.693147,
-				"preparationCost": 9.34801,
-				"dataCost": 159.587
-			}
-		},
-		"variablesStatistics": [
-			{
-				"rank": "R01",
-				"name": "PW_UM20",
-				"type": "Numerical",
-				"level": 0.89704,
-				"parts": 6,
-				"values": 19,
-				"min": 0.1,
-				"max": 2.1,
-				"mean": 1.029230769,
-				"stdDev": 0.6707568806,
-				"missingNumber": 20,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R02",
-				"name": "PW_MM40",
-				"type": "Numerical",
-				"level": 0.891562,
-				"parts": 4,
-				"values": 19,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.162727273,
-				"stdDev": 0.88089408,
-				"missingNumber": 40,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R03",
-				"name": "PW_MM20",
-				"type": "Numerical",
-				"level": 0.884611,
-				"parts": 4,
-				"values": 22,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.180769231,
-				"stdDev": 0.8152485373,
-				"missingNumber": 20,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R04",
-				"name": "PW_UM10",
-				"type": "Numerical",
-				"level": 0.881639,
-				"parts": 5,
-				"values": 21,
-				"min": 0.1,
-				"max": 2.3,
-				"mean": 1.113571429,
-				"stdDev": 0.7146638285,
-				"missingNumber": 10,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R05",
-				"name": "PW_LM40",
-				"type": "Numerical",
-				"level": 0.877555,
-				"parts": 6,
-				"values": 21,
-				"min": 0.3,
-				"max": 2.5,
-				"mean": 1.561818182,
-				"stdDev": 0.5415435546,
-				"missingNumber": 40,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R06",
-				"name": "PW_MM10",
-				"type": "Numerical",
-				"level": 0.876232,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.190714286,
-				"stdDev": 0.7866653335,
-				"missingNumber": 10,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R07",
-				"name": "PW_MM5",
-				"type": "Numerical",
-				"level": 0.872777,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.195172414,
-				"stdDev": 0.7733787076,
-				"missingNumber": 5,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R08",
-				"name": "PW_LM10",
-				"type": "Numerical",
-				"level": 0.869675,
-				"parts": 4,
-				"values": 22,
-				"min": 0.2,
-				"max": 2.5,
-				"mean": 1.274285714,
-				"stdDev": 0.730691593,
-				"missingNumber": 10,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R09",
-				"name": "PW_LM20",
-				"type": "Numerical",
-				"level": 0.869675,
-				"parts": 4,
-				"values": 22,
-				"min": 0.2,
-				"max": 2.5,
-				"mean": 1.356923077,
-				"stdDev": 0.692369228,
-				"missingNumber": 20,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R10",
-				"name": "PW_LM5",
-				"type": "Numerical",
-				"level": 0.869675,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.236551724,
-				"stdDev": 0.7452667926,
-				"missingNumber": 5,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R11",
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"level": 0.869675,
-				"parts": 3,
-				"values": 22,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.198666667,
-				"stdDev": 0.7606126186,
-				"missingNumber": 0,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R12",
-				"name": "PW_UM5",
-				"type": "Numerical",
-				"level": 0.865341,
-				"parts": 4,
-				"values": 22,
-				"min": 0.1,
-				"max": 2.4,
-				"mean": 1.155172414,
-				"stdDev": 0.7359658008,
-				"missingNumber": 5,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R13",
-				"name": "PW_RM5",
-				"type": "Numerical",
-				"level": 0.850458,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.217931034,
-				"stdDev": 0.7590074249,
-				"missingNumber": 5,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R14",
-				"name": "PW_UM40",
-				"type": "Numerical",
-				"level": 0.835953,
-				"parts": 3,
-				"values": 16,
-				"min": 0.1,
-				"max": 1.8,
-				"mean": 0.8654545455,
-				"stdDev": 0.5961141385,
-				"missingNumber": 40,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R15",
-				"name": "PetalLength",
-				"type": "Numerical",
-				"level": 0.83577,
-				"parts": 3,
-				"values": 43,
-				"min": 1,
-				"max": 6.9,
-				"mean": 3.758666667,
-				"stdDev": 1.758529183,
-				"missingNumber": 0,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R16",
-				"name": "PW_RM10",
-				"type": "Numerical",
-				"level": 0.809289,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.22,
-				"stdDev": 0.7533923281,
-				"missingNumber": 10,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R17",
-				"name": "PW_RM20",
-				"type": "Numerical",
-				"level": 0.76144,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.237692308,
-				"stdDev": 0.7559268773,
-				"missingNumber": 20,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R18",
-				"name": "PW_RM40",
-				"type": "Numerical",
-				"level": 0.629561,
-				"parts": 4,
-				"values": 23,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.246363636,
-				"stdDev": 0.7555464335,
-				"missingNumber": 40,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R19",
-				"name": "PW_RM80",
-				"type": "Numerical",
-				"level": 0.400545,
-				"parts": 4,
-				"values": 22,
-				"min": 0.1,
-				"max": 2.5,
-				"mean": 1.278571429,
-				"stdDev": 0.7224744893,
-				"missingNumber": 80,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R20",
-				"name": "SepalLength",
-				"type": "Numerical",
-				"level": 0.38626,
-				"parts": 3,
-				"values": 35,
-				"min": 4.3,
-				"max": 7.9,
-				"mean": 5.843333333,
-				"stdDev": 0.8253012918,
-				"missingNumber": 0,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R21",
-				"name": "SepalWidth",
-				"type": "Numerical",
-				"level": 0.242191,
-				"parts": 5,
-				"values": 23,
-				"min": 2,
-				"max": 4.4,
-				"mean": 3.054,
-				"stdDev": 0.4321465801,
-				"missingNumber": 0,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			},
-			{
-				"rank": "R22",
-				"name": "Constant",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 1,
-				"min": 0,
-				"max": 0,
-				"mean": 0,
-				"stdDev": 0,
-				"missingNumber": 0,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0,
-				"derivationRule": "Copy(0)"
-			},
-			{
-				"rank": "R23",
-				"name": "PW_allM",
-				"type": "Numerical",
-				"level": 0,
-				"parts": 1,
-				"values": 1,
-				"min": null,
-				"max": null,
-				"mean": null,
-				"stdDev": null,
-				"missingNumber": 150,
-				"constructionCost": 3.82864,
-				"preparationCost": 0,
-				"dataCost": 0
-			}
-		],
-		"variablesDetailedStatistics": {
-			"R01": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_UM20",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.55],
-								[0.55,0.8],
-								[0.8,1.35],
-								[1.35,1.75],
-								[1.75,2.1]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,20],
-						[49,0,0],
-						[1,0,0],
-						[0,28,0],
-						[0,21,5],
-						[0,1,25]
-					],
-					"partInterests": [0.148637,0.364161,0.00743185,0.208092,0.107124,0.164555]
-				}
-			},
-			"R02": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_MM40",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,39,1],
-						[50,0,0],
-						[0,10,4],
-						[0,1,45]
-					],
-					"partInterests": [0.267272,0.373876,0.047677,0.311175]
-				}
-			},
-			"R03": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_MM20",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,20,0],
-						[50,0,0],
-						[0,29,5],
-						[0,1,45]
-					],
-					"partInterests": [0.150725,0.376814,0.158841,0.31362]
-				}
-			},
-			"R04": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_UM10",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.25],
-								[1.25,1.75],
-								[1.75,2.3]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,10],
-						[50,0,0],
-						[0,15,0],
-						[0,34,5],
-						[0,1,35]
-					],
-					"partInterests": [0.0756168,0.378084,0.113425,0.192106,0.240769]
-				}
-			},
-			"R05": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_LM40",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.3,0.8],
-								[0.8,1.15],
-								[1.15,1.65],
-								[1.65,2.05],
-								[2.05,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[40,0,0],
-						[10,0,0],
-						[0,10,0],
-						[0,38,4],
-						[0,2,23],
-						[0,0,23]
-					],
-					"partInterests": [0.303875,0.0759686,0.0759686,0.227731,0.14173,0.174728]
-				}
-			},
-			"R06": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_MM10",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,10,0],
-						[50,0,0],
-						[0,39,5],
-						[0,1,45]
-					],
-					"partInterests": [0.0760833,0.380417,0.226881,0.316619]
-				}
-			},
-			"R07": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_MM5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,5,0],
-						[50,0,0],
-						[0,44,5],
-						[0,1,45]
-					],
-					"partInterests": [0.0381923,0.381923,0.262013,0.317872]
-				}
-			},
-			"R08": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_LM10",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.2,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[10,0,0],
-						[40,0,0],
-						[0,49,5],
-						[0,1,45]
-					],
-					"partInterests": [0.076657,0.306628,0.297709,0.319006]
-				}
-			},
-			"R09": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_LM20",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.2,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[20,0,0],
-						[30,0,0],
-						[0,49,5],
-						[0,1,45]
-					],
-					"partInterests": [0.153314,0.229971,0.297709,0.319006]
-				}
-			},
-			"R10": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_LM5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[5,0,0],
-						[45,0,0],
-						[0,49,5],
-						[0,1,45]
-					],
-					"partInterests": [0.0383285,0.344956,0.297709,0.319006]
-				}
-			},
-			"R11": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[50,0,0],
-						[0,49,5],
-						[0,1,45]
-					],
-					"partInterests": [0.383285,0.297709,0.319006]
-				}
-			},
-			"R12": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_UM5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.65],
-								[1.65,2.4]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,5],
-						[50,0,0],
-						[0,48,4],
-						[0,2,41]
-					],
-					"partInterests": [0.0385205,0.385205,0.301723,0.274552]
-				}
-			},
-			"R13": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_RM5",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[3,2,0],
-						[47,0,0],
-						[0,47,5],
-						[0,1,45]
-					],
-					"partInterests": [0.0151839,0.368429,0.290173,0.326214]
-				}
-			},
-			"R14": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_UM40",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.8]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[0,0,40],
-						[50,0,0],
-						[0,50,10]
-					],
-					"partInterests": [0.318997,0.398747,0.282256]
-				}
-			},
-			"R15": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PetalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[1,2.4],
-								[2.4,4.95],
-								[4.95,6.9]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[50,0,0],
-						[0,48,6],
-						[0,2,44]
-					],
-					"partInterests": [0.398834,0.293972,0.307195]
-				}
-			},
-			"R16": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_RM10",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[5,3,2],
-						[45,0,0],
-						[0,46,5],
-						[0,1,43]
-					],
-					"partInterests": [0.00517075,0.370696,0.297462,0.326671]
-				}
-			},
-			"R17": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_RM20",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[9,7,4],
-						[41,0,0],
-						[0,42,4],
-						[0,1,42]
-					],
-					"partInterests": [0.00796284,0.358969,0.294439,0.338629]
-				}
-			},
-			"R18": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_RM40",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.75],
-								[1.75,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[16,13,11],
-						[34,0,0],
-						[0,36,4],
-						[0,1,35]
-					],
-					"partInterests": [0.00454881,0.360039,0.298238,0.337173]
-				}
-			},
-			"R19": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "PW_RM80",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[],
-								[0.1,0.8],
-								[0.8,1.7],
-								[1.7,2.5]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[30,24,26],
-						[20,0,0],
-						[0,25,2],
-						[0,1,22]
-					],
-					"partInterests": [0.00525062,0.33288,0.341377,0.320493]
-				}
-			},
-			"R20": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalLength",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[4.3,5.55],
-								[5.55,6.75],
-								[6.75,7.9]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[47,11,1],
-						[3,36,32],
-						[0,3,17]
-					],
-					"partInterests": [0.496087,0.29154,0.212373]
-				}
-			},
-			"R21": {
-				"dataGrid": {
-					"isSupervised": true,
-					"dimensions": [
-						{
-							"variable": "SepalWidth",
-							"type": "Numerical",
-							"partitionType": "Intervals",
-							"partition": [
-								[2,2.45],
-								[2.45,2.95],
-								[2.95,3.45],
-								[3.45,3.95],
-								[3.95,4.4]
-							]
-						},
-						{
-							"variable": "Class",
-							"type": "Categorical",
-							"partitionType": "Values",
-							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
-						}
-					],
-					"partTargetFrequencies": [
-						[1,9,1],
-						[1,25,20],
-						[27,16,26],
-						[17,0,3],
-						[4,0,0]
-					],
-					"partInterests": [0.137378,0.370955,0.0428559,0.338705,0.110106]
-				}
-			}
-		}
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops",
+	"version": "10.0.0.3i",
+	"shortDescription": "",
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "IrisMissing",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					23
+				]
+			},
+			"database": ".\/IrisMissing.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 150,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 50
+			},
+			"targetValues": {
+				"values": ["Iris-setosa","Iris-versicolor","Iris-virginica"],
+				"frequencies": [50,50,50]
+			},
+			"evaluatedVariables": 23,
+			"nativeVariables": 22,
+			"constructedVariables": 1,
+			"informativeVariables": 21,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTrees": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODLEqualWidth",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 9.34801,
+				"dataCost": 159.587
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R01",
+				"name": "PW_UM20",
+				"type": "Numerical",
+				"level": 0.89704,
+				"parts": 6,
+				"values": 19,
+				"min": 0.1,
+				"max": 2.1,
+				"mean": 1.029230769,
+				"stdDev": 0.6707568806,
+				"missingNumber": 20,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R02",
+				"name": "PW_MM40",
+				"type": "Numerical",
+				"level": 0.891562,
+				"parts": 4,
+				"values": 19,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.162727273,
+				"stdDev": 0.88089408,
+				"missingNumber": 40,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R03",
+				"name": "PW_MM20",
+				"type": "Numerical",
+				"level": 0.884611,
+				"parts": 4,
+				"values": 22,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.180769231,
+				"stdDev": 0.8152485373,
+				"missingNumber": 20,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R04",
+				"name": "PW_UM10",
+				"type": "Numerical",
+				"level": 0.881639,
+				"parts": 5,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.3,
+				"mean": 1.113571429,
+				"stdDev": 0.7146638285,
+				"missingNumber": 10,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R05",
+				"name": "PW_LM40",
+				"type": "Numerical",
+				"level": 0.877555,
+				"parts": 6,
+				"values": 21,
+				"min": 0.3,
+				"max": 2.5,
+				"mean": 1.561818182,
+				"stdDev": 0.5415435546,
+				"missingNumber": 40,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R06",
+				"name": "PW_MM10",
+				"type": "Numerical",
+				"level": 0.876232,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.190714286,
+				"stdDev": 0.7866653335,
+				"missingNumber": 10,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R07",
+				"name": "PW_MM5",
+				"type": "Numerical",
+				"level": 0.872777,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.195172414,
+				"stdDev": 0.7733787076,
+				"missingNumber": 5,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R08",
+				"name": "PW_LM10",
+				"type": "Numerical",
+				"level": 0.869675,
+				"parts": 4,
+				"values": 22,
+				"min": 0.2,
+				"max": 2.5,
+				"mean": 1.274285714,
+				"stdDev": 0.730691593,
+				"missingNumber": 10,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R09",
+				"name": "PW_LM20",
+				"type": "Numerical",
+				"level": 0.869675,
+				"parts": 4,
+				"values": 22,
+				"min": 0.2,
+				"max": 2.5,
+				"mean": 1.356923077,
+				"stdDev": 0.692369228,
+				"missingNumber": 20,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R10",
+				"name": "PW_LM5",
+				"type": "Numerical",
+				"level": 0.869675,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.236551724,
+				"stdDev": 0.7452667926,
+				"missingNumber": 5,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R11",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.869675,
+				"parts": 3,
+				"values": 22,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.198666667,
+				"stdDev": 0.7606126186,
+				"missingNumber": 0,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R12",
+				"name": "PW_UM5",
+				"type": "Numerical",
+				"level": 0.865341,
+				"parts": 4,
+				"values": 22,
+				"min": 0.1,
+				"max": 2.4,
+				"mean": 1.155172414,
+				"stdDev": 0.7359658008,
+				"missingNumber": 5,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R13",
+				"name": "PW_RM5",
+				"type": "Numerical",
+				"level": 0.850458,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.217931034,
+				"stdDev": 0.7590074249,
+				"missingNumber": 5,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R14",
+				"name": "PW_UM40",
+				"type": "Numerical",
+				"level": 0.835953,
+				"parts": 3,
+				"values": 16,
+				"min": 0.1,
+				"max": 1.8,
+				"mean": 0.8654545455,
+				"stdDev": 0.5961141385,
+				"missingNumber": 40,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R15",
+				"name": "PetalLength",
+				"type": "Numerical",
+				"level": 0.83577,
+				"parts": 3,
+				"values": 43,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.758666667,
+				"stdDev": 1.758529183,
+				"missingNumber": 0,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R16",
+				"name": "PW_RM10",
+				"type": "Numerical",
+				"level": 0.809289,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.22,
+				"stdDev": 0.7533923281,
+				"missingNumber": 10,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R17",
+				"name": "PW_RM20",
+				"type": "Numerical",
+				"level": 0.76144,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.237692308,
+				"stdDev": 0.7559268773,
+				"missingNumber": 20,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R18",
+				"name": "PW_RM40",
+				"type": "Numerical",
+				"level": 0.629561,
+				"parts": 4,
+				"values": 23,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.246363636,
+				"stdDev": 0.7555464335,
+				"missingNumber": 40,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R19",
+				"name": "PW_RM80",
+				"type": "Numerical",
+				"level": 0.400545,
+				"parts": 4,
+				"values": 22,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.278571429,
+				"stdDev": 0.7224744893,
+				"missingNumber": 80,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R20",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.38626,
+				"parts": 3,
+				"values": 35,
+				"min": 4.3,
+				"max": 7.9,
+				"mean": 5.843333333,
+				"stdDev": 0.8253012918,
+				"missingNumber": 0,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R21",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.242191,
+				"parts": 5,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.054,
+				"stdDev": 0.4321465801,
+				"missingNumber": 0,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			},
+			{
+				"rank": "R22",
+				"name": "Constant",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 0,
+				"max": 0,
+				"mean": 0,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0,
+				"derivationRule": "Copy(0)"
+			},
+			{
+				"rank": "R23",
+				"name": "PW_allM",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": null,
+				"max": null,
+				"mean": null,
+				"stdDev": null,
+				"missingNumber": 150,
+				"constructionCost": 3.82864,
+				"preparationCost": 0,
+				"dataCost": 0
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R01": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_UM20",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.55],
+								[0.55,0.8],
+								[0.8,1.35],
+								[1.35,1.75],
+								[1.75,2.1]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,0,20],
+						[49,0,0],
+						[1,0,0],
+						[0,28,0],
+						[0,21,5],
+						[0,1,25]
+					],
+					"partInterests": [0.148637,0.364161,0.00743185,0.208092,0.107124,0.164555]
+				}
+			},
+			"R02": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_MM40",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,39,1],
+						[50,0,0],
+						[0,10,4],
+						[0,1,45]
+					],
+					"partInterests": [0.267272,0.373876,0.047677,0.311175]
+				}
+			},
+			"R03": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_MM20",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,20,0],
+						[50,0,0],
+						[0,29,5],
+						[0,1,45]
+					],
+					"partInterests": [0.150725,0.376814,0.158841,0.31362]
+				}
+			},
+			"R04": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_UM10",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.25],
+								[1.25,1.75],
+								[1.75,2.3]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,0,10],
+						[50,0,0],
+						[0,15,0],
+						[0,34,5],
+						[0,1,35]
+					],
+					"partInterests": [0.0756168,0.378084,0.113425,0.192106,0.240769]
+				}
+			},
+			"R05": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_LM40",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.3,0.8],
+								[0.8,1.15],
+								[1.15,1.65],
+								[1.65,2.05],
+								[2.05,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[40,0,0],
+						[10,0,0],
+						[0,10,0],
+						[0,38,4],
+						[0,2,23],
+						[0,0,23]
+					],
+					"partInterests": [0.303875,0.0759686,0.0759686,0.227731,0.14173,0.174728]
+				}
+			},
+			"R06": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_MM10",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,10,0],
+						[50,0,0],
+						[0,39,5],
+						[0,1,45]
+					],
+					"partInterests": [0.0760833,0.380417,0.226881,0.316619]
+				}
+			},
+			"R07": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_MM5",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,5,0],
+						[50,0,0],
+						[0,44,5],
+						[0,1,45]
+					],
+					"partInterests": [0.0381923,0.381923,0.262013,0.317872]
+				}
+			},
+			"R08": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_LM10",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.2,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[10,0,0],
+						[40,0,0],
+						[0,49,5],
+						[0,1,45]
+					],
+					"partInterests": [0.076657,0.306628,0.297709,0.319006]
+				}
+			},
+			"R09": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_LM20",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.2,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[20,0,0],
+						[30,0,0],
+						[0,49,5],
+						[0,1,45]
+					],
+					"partInterests": [0.153314,0.229971,0.297709,0.319006]
+				}
+			},
+			"R10": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_LM5",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[5,0,0],
+						[45,0,0],
+						[0,49,5],
+						[0,1,45]
+					],
+					"partInterests": [0.0383285,0.344956,0.297709,0.319006]
+				}
+			},
+			"R11": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[50,0,0],
+						[0,49,5],
+						[0,1,45]
+					],
+					"partInterests": [0.383285,0.297709,0.319006]
+				}
+			},
+			"R12": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_UM5",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.65],
+								[1.65,2.4]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,0,5],
+						[50,0,0],
+						[0,48,4],
+						[0,2,41]
+					],
+					"partInterests": [0.0385205,0.385205,0.301723,0.274552]
+				}
+			},
+			"R13": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_RM5",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[3,2,0],
+						[47,0,0],
+						[0,47,5],
+						[0,1,45]
+					],
+					"partInterests": [0.0151839,0.368429,0.290173,0.326214]
+				}
+			},
+			"R14": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_UM40",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.8]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,0,40],
+						[50,0,0],
+						[0,50,10]
+					],
+					"partInterests": [0.318997,0.398747,0.282256]
+				}
+			},
+			"R15": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.95],
+								[4.95,6.9]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[50,0,0],
+						[0,48,6],
+						[0,2,44]
+					],
+					"partInterests": [0.398834,0.293972,0.307195]
+				}
+			},
+			"R16": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_RM10",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[5,3,2],
+						[45,0,0],
+						[0,46,5],
+						[0,1,43]
+					],
+					"partInterests": [0.00517075,0.370696,0.297462,0.326671]
+				}
+			},
+			"R17": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_RM20",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[9,7,4],
+						[41,0,0],
+						[0,42,4],
+						[0,1,42]
+					],
+					"partInterests": [0.00796284,0.358969,0.294439,0.338629]
+				}
+			},
+			"R18": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_RM40",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.75],
+								[1.75,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[16,13,11],
+						[34,0,0],
+						[0,36,4],
+						[0,1,35]
+					],
+					"partInterests": [0.00454881,0.360039,0.298238,0.337173]
+				}
+			},
+			"R19": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PW_RM80",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[],
+								[0.1,0.8],
+								[0.8,1.7],
+								[1.7,2.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[30,24,26],
+						[20,0,0],
+						[0,25,2],
+						[0,1,22]
+					],
+					"partInterests": [0.00525062,0.33288,0.341377,0.320493]
+				}
+			},
+			"R20": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.55],
+								[5.55,6.75],
+								[6.75,7.9]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[47,11,1],
+						[3,36,32],
+						[0,3,17]
+					],
+					"partInterests": [0.496087,0.29154,0.212373]
+				}
+			},
+			"R21": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.45],
+								[2.45,2.95],
+								[2.95,3.45],
+								[3.45,3.95],
+								[3.95,4.4]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"]
+						}
+					],
+					"partTargetFrequencies": [
+						[1,9,1],
+						[1,25,20],
+						[27,16,26],
+						[17,0,3],
+						[4,0,0]
+					],
+					"partInterests": [0.137378,0.370955,0.0428559,0.338705,0.110106]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj b/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj
index 314aa69f..f454aee9 100644
--- a/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj
+++ b/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj
@@ -26,6 +26,7 @@
 			"evaluatedVariables": 2,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 1
 			},
@@ -43,6 +44,7 @@
 				"mean": 1.5,
 				"stdDev": 0.5,
 				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 1.38629
 			},
 			{
@@ -52,6 +54,8 @@
 				"values": 2,
 				"mode": "A",
 				"modeFrequency": 1,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 1.38629
 			}
 		],
diff --git a/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj b/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj
index ddbbee46..e41cd180 100644
--- a/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj
+++ b/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj
@@ -196,6 +196,7 @@
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 100,
 				"maxNumberOfTrees": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfVariablePairs": 0
 			},
 			"discretization": "MODL",
diff --git a/tests/resources/analysis_results/ref_json_reports/XORRegression.khj b/tests/resources/analysis_results/ref_json_reports/XORRegression.khj
index 213497e6..14d73df5 100644
--- a/tests/resources/analysis_results/ref_json_reports/XORRegression.khj
+++ b/tests/resources/analysis_results/ref_json_reports/XORRegression.khj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops",
-	"version": "10.0.6i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"modelingReport": {
 		"reportType": "Modeling",
@@ -18,20 +18,27 @@
 			{
 				"rank": "R1",
 				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"variables": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
 				"variables": 1
 			}
 		],
 		"trainedPredictorsDetails": {
-			"R1": {
+			"R2": {
 				"selectedVariables": [
 					{
 						"preparedName": "PSource",
 						"name": "Source",
-						"level": 0.159413,
+						"level": 0.16219,
 						"weight": 1,
-						"importance": 0.399265
+						"importance": 0.402728
 					}
 				]
 			}
@@ -47,7 +54,7 @@
 			"samplingMode": "Include sample",
 			"selectionVariable": "",
 			"selectionValue": "",
-			"instances": 68,
+			"instances": 70,
 			"learningTask": "Regression analysis",
 			"targetVariable": "Target"
 		},
@@ -55,20 +62,36 @@
 			{
 				"rank": "R1",
 				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.18016,
+				"mae": 1.07071,
+				"nlpd": 0.673178,
+				"rankRmse": 0.278898,
+				"rankMae": 0.249796,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
-				"rmse": 0.482752,
-				"mae": 0.467373,
-				"nlpd": -0.265926,
-				"rankRmse": 0.123615,
-				"rankMae": 0.11851,
-				"rankNlpd": -0.678345
+				"rmse": 0.49472,
+				"mae": 0.489749,
+				"nlpd": -0.0156607,
+				"rankRmse": 0.123851,
+				"rankMae": 0.122729,
+				"rankNlpd": -0.688838
 			}
 		],
 		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,22.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,42.8571,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
 			{
 				"regressor": "Selective Naive Bayes",
-				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,61.7647,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,80.8824,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,57.1429,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 			}
 		]
 	},
@@ -82,7 +105,7 @@
 			"samplingMode": "Exclude sample",
 			"selectionVariable": "",
 			"selectionValue": "",
-			"instances": 32,
+			"instances": 30,
 			"learningTask": "Regression analysis",
 			"targetVariable": "Target"
 		},
@@ -90,20 +113,36 @@
 			{
 				"rank": "R1",
 				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.24055,
+				"mae": 1.14333,
+				"nlpd": 0.305605,
+				"rankRmse": 0.292002,
+				"rankMae": 0.266667,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
 				"family": "Selective Naive Bayes",
 				"name": "Selective Naive Bayes",
-				"rmse": 0.515771,
-				"mae": 0.501839,
-				"nlpd": 0.206934,
-				"rankRmse": 0.132875,
-				"rankMae": 0.12679,
-				"rankNlpd": -0.700041
+				"rmse": 0.48593,
+				"mae": 0.480791,
+				"nlpd": -0.395434,
+				"rankRmse": 0.120357,
+				"rankMae": 0.119095,
+				"rankNlpd": -0.701039
 			}
 		],
 		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,36.6667,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
 			{
 				"regressor": "Selective Naive Bayes",
-				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,53.125,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,71.875,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+				"values": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,43.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,63.3333,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
 			}
 		]
 	},
@@ -124,21 +163,24 @@
 			"samplingMode": "Include sample",
 			"selectionVariable": "",
 			"selectionValue": "",
-			"instances": 68,
+			"instances": 70,
 			"learningTask": "Regression analysis",
 			"targetVariable": "Target",
 			"targetDescriptiveStats": {
 				"values": 4,
 				"min": 0,
 				"max": 3,
-				"mean": 1.279411765,
-				"stdDev": 1.198597075,
-				"missingNumber": 0
+				"mean": 1.514285714,
+				"stdDev": 1.180107224,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
 			},
 			"evaluatedVariables": 1,
 			"informativeVariables": 1,
+			"selectedVariables": 1,
 			"featureEngineering": {
 				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
 				"maxNumberOfTrees": 0,
 				"maxNumberOfVariablePairs": 0
 			},
@@ -147,7 +189,7 @@
 			"nullModel": {
 				"constructionCost": 0.693147,
 				"preparationCost": 0,
-				"dataCost": 221.956
+				"dataCost": 230.439
 			}
 		},
 		"variablesStatistics": [
@@ -155,18 +197,19 @@
 				"rank": "R1",
 				"name": "Source",
 				"type": "Numerical",
-				"level": 0.159413,
+				"level": 0.16219,
 				"targetParts": 2,
 				"parts": 2,
 				"values": 4,
 				"min": 0,
 				"max": 3,
-				"mean": 1.308823529,
-				"stdDev": 1.127951722,
+				"mean": 1.528571429,
+				"stdDev": 1.091806217,
 				"missingNumber": 0,
+				"sparseMissingNumber": 0,
 				"constructionCost": 0.693147,
-				"preparationCost": 8.5745,
-				"dataCost": 177.889
+				"preparationCost": 8.65129,
+				"dataCost": 184.301
 			}
 		],
 		"variablesDetailedStatistics": {
@@ -194,10 +237,10 @@
 						}
 					],
 					"partTargetFrequencies": [
-						[39,0],
-						[0,29]
+						[34,0],
+						[0,36]
 					],
-					"partInterests": [0.467322,0.532678]
+					"partInterests": [0.506325,0.493675]
 				}
 			}
 		}
diff --git a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt b/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
index 70e52824..a0dcfe4b 100644
--- a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
+++ b/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
@@ -26,9 +26,9 @@ Discretization	EqualWidth
 Value grouping	BasicGrouping
 
 Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Var1	Numerical				2	1	2	1.5	0.5	0			1.38629			
-R2	Var2	Categorical				2						A	1	1.38629			
+Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Sparse missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
+R1	Var1	Numerical				2	1	2	1.5	0.5	0	0			1.38629			
+R2	Var2	Categorical				2							0	0	A	1	1.38629			
 
 Detailed variable statistics
 
diff --git a/tests/resources/coclustering_results/ref_json_reports/Adult.khcj b/tests/resources/coclustering_results/ref_json_reports/Adult.khcj
index 952a6486..abd34f2d 100644
--- a/tests/resources/coclustering_results/ref_json_reports/Adult.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/Adult.khcj
@@ -1,2949 +1,2949 @@
-{
-	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"coclusteringReport": {
-		"summary": {
-			"instances": 48842,
-			"cells": 2218,
-			"nullCost": 1723780,
-			"cost": 1689150,
-			"level": 0.02008957059,
-			"initialDimensions": 9,
-			"frequencyVariable": "",
-			"dictionary": "Adult",
-			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
-			"samplePercentage": 100,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": ""
-		},
-		"dimensionSummaries": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"parts": 6,
-				"initialParts": 6,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 17,
-				"max": 90
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"parts": 7,
-				"initialParts": 7,
-				"values": 14,
-				"interest": 1,
-				"description": ""
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"parts": 4,
-				"initialParts": 4,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 1,
-				"max": 16
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 1,
-				"max": 99
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 7,
-				"interest": 1,
-				"description": ""
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"parts": 2,
-				"initialParts": 2,
-				"values": 2,
-				"interest": 1,
-				"description": ""
-			}
-		],
-		"dimensionPartitions": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;18.5]",
-						"bounds": [17,18.5]
-					},
-					{
-						"cluster": "]18.5;23.5]",
-						"bounds": [18.5,23.5]
-					},
-					{
-						"cluster": "]23.5;29.5]",
-						"bounds": [23.5,29.5]
-					},
-					{
-						"cluster": "]29.5;40.5]",
-						"bounds": [29.5,40.5]
-					},
-					{
-						"cluster": "]40.5;59.5]",
-						"bounds": [40.5,59.5]
-					},
-					{
-						"cluster": "]59.5;+inf[",
-						"bounds": [59.5,90]
-					}
-				]
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
-						"values": ["Craft-repair","Transport-moving","Farming-fishing","Protective-serv","Armed-Forces"],
-						"valueFrequencies": [6112,2355,1490,983,15],
-						"valueTypicalities": [1,0.573309,0.29446,0.106369,0.0033027]
-					},
-					{
-						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
-						"values": ["Machine-op-inspct","Handlers-cleaners"],
-						"valueFrequencies": [3022,2072],
-						"valueTypicalities": [1,0.798568]
-					},
-					{
-						"cluster": "{Prof-specialty}",
-						"values": ["Prof-specialty"],
-						"valueFrequencies": [8981],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Exec-managerial}",
-						"values": ["Exec-managerial"],
-						"valueFrequencies": [6086],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Sales}",
-						"values": ["Sales"],
-						"valueFrequencies": [5504],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Other-service, Priv-house-serv}",
-						"values": ["Other-service","Priv-house-serv"],
-						"valueFrequencies": [4923,242],
-						"valueTypicalities": [1,0.111602]
-					},
-					{
-						"cluster": "{Adm-clerical, Tech-support}",
-						"values": ["Adm-clerical","Tech-support"],
-						"valueFrequencies": [5611,1446],
-						"valueTypicalities": [1,0.187174]
-					}
-				],
-				"defaultGroupIndex": 6
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;8.5]",
-						"bounds": [1,8.5]
-					},
-					{
-						"cluster": "]8.5;9.5]",
-						"bounds": [8.5,9.5]
-					},
-					{
-						"cluster": "]9.5;12.5]",
-						"bounds": [9.5,12.5]
-					},
-					{
-						"cluster": "]12.5;+inf[",
-						"bounds": [12.5,16]
-					}
-				]
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;36.5]",
-						"bounds": [1,36.5]
-					},
-					{
-						"cluster": "]36.5;43.5]",
-						"bounds": [36.5,43.5]
-					},
-					{
-						"cluster": "]43.5;+inf[",
-						"bounds": [43.5,99]
-					}
-				]
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Never-married, Married-AF-spouse}",
-						"values": ["Never-married","Married-AF-spouse"],
-						"valueFrequencies": [16117,37],
-						"valueTypicalities": [1,0.00173382]
-					},
-					{
-						"cluster": "{Married-civ-spouse}",
-						"values": ["Married-civ-spouse"],
-						"valueFrequencies": [22379],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Divorced, Widowed, Separated, ...}",
-						"values": ["Divorced","Widowed","Separated","Married-spouse-absent"],
-						"valueFrequencies": [6633,1518,1530,628],
-						"valueTypicalities": [1,0.443082,0.265394,0.0718638]
-					}
-				],
-				"defaultGroupIndex": 2
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Female}",
-						"values": ["Female"],
-						"valueFrequencies": [16192],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Male}",
-						"values": ["Male"],
-						"valueFrequencies": [32650],
-						"valueTypicalities": [1]
-					}
-				],
-				"defaultGroupIndex": 1
-			}
-		],
-		"dimensionHierarchies": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;18.5]",
-						"parentCluster": "]-inf;23.5]",
-						"frequency": 1457,
-						"interest": 0.347768,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]18.5;23.5]",
-						"parentCluster": "]-inf;23.5]",
-						"frequency": 5769,
-						"interest": 0.883906,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]23.5;29.5]",
-						"parentCluster": "]-inf;29.5]",
-						"frequency": 7289,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]29.5;40.5]",
-						"parentCluster": "]29.5;59.5]",
-						"frequency": 14116,
-						"interest": 0.871164,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]40.5;59.5]",
-						"parentCluster": "]29.5;59.5]",
-						"frequency": 16156,
-						"interest": 0.848966,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]59.5;+inf[",
-						"parentCluster": "]29.5;+inf[",
-						"frequency": 4055,
-						"interest": 0.441664,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;23.5]",
-						"parentCluster": "]-inf;29.5]",
-						"frequency": 7226,
-						"interest": 0.775803,
-						"hierarchicalLevel": 0.974251,
-						"rank": 2,
-						"hierarchicalRank": 22,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;29.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 14515,
-						"interest": 0.888388,
-						"hierarchicalLevel": 0.745479,
-						"rank": 4,
-						"hierarchicalRank": 14,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.833282,
-						"hierarchicalLevel": -0.000287731,
-						"rank": 6,
-						"hierarchicalRank": 7,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]29.5;59.5]",
-						"parentCluster": "]29.5;+inf[",
-						"frequency": 30272,
-						"interest": 0.859317,
-						"hierarchicalLevel": 0.948553,
-						"rank": 8,
-						"hierarchicalRank": 20,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]29.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 34327,
-						"interest": 0.80998,
-						"hierarchicalLevel": 0.850791,
-						"rank": 10,
-						"hierarchicalRank": 16,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
-						"parentCluster": "B18",
-						"frequency": 10955,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
-						"parentCluster": "B18",
-						"frequency": 5094,
-						"interest": 0.695825,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Prof-specialty}",
-						"parentCluster": "B12",
-						"frequency": 8981,
-						"interest": 0.864201,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Exec-managerial}",
-						"parentCluster": "B19",
-						"frequency": 6086,
-						"interest": 0.705213,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Sales}",
-						"parentCluster": "B19",
-						"frequency": 5504,
-						"interest": 0.534419,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Other-service, Priv-house-serv}",
-						"parentCluster": "B14",
-						"frequency": 5165,
-						"interest": 0.723836,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Adm-clerical, Tech-support}",
-						"parentCluster": "B14",
-						"frequency": 7057,
-						"interest": 0.715347,
-						"hierarchicalLevel": 1,
-						"rank": 13,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "B18",
-						"parentCluster": "B5",
-						"frequency": 16049,
-						"interest": 0.903454,
-						"hierarchicalLevel": 0.988438,
-						"rank": 2,
-						"hierarchicalRank": 23,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B5",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.783774,
-						"hierarchicalLevel": 0.383406,
-						"rank": 4,
-						"hierarchicalRank": 10,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B12",
-						"parentCluster": "B7",
-						"frequency": 20571,
-						"interest": 0.728927,
-						"hierarchicalLevel": 0.889146,
-						"rank": 6,
-						"hierarchicalRank": 17,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B19",
-						"parentCluster": "B12",
-						"frequency": 11590,
-						"interest": 0.624104,
-						"hierarchicalLevel": 0.994704,
-						"rank": 8,
-						"hierarchicalRank": 24,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B7",
-						"parentCluster": "B5",
-						"frequency": 32793,
-						"interest": 0.725202,
-						"hierarchicalLevel": 0.583172,
-						"rank": 10,
-						"hierarchicalRank": 12,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B14",
-						"parentCluster": "B7",
-						"frequency": 12222,
-						"interest": 0.718934,
-						"hierarchicalLevel": 0.93014,
-						"rank": 12,
-						"hierarchicalRank": 19,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;8.5]",
-						"parentCluster": "]-inf;9.5]",
-						"frequency": 6408,
-						"interest": 0.330495,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]8.5;9.5]",
-						"parentCluster": "]-inf;9.5]",
-						"frequency": 15784,
-						"interest": 0.671555,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]9.5;12.5]",
-						"parentCluster": "]-inf;12.5]",
-						"frequency": 14540,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]12.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 12110,
-						"interest": 0.65894,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;9.5]",
-						"parentCluster": "]-inf;12.5]",
-						"frequency": 22192,
-						"interest": 0.573073,
-						"hierarchicalLevel": 0.964171,
-						"rank": 2,
-						"hierarchicalRank": 21,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;12.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 36732,
-						"interest": 0.742068,
-						"hierarchicalLevel": 0.911382,
-						"rank": 4,
-						"hierarchicalRank": 18,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.721457,
-						"hierarchicalLevel": 0.474326,
-						"rank": 6,
-						"hierarchicalRank": 11,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;36.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 10668,
-						"interest": 0.604579,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]36.5;43.5]",
-						"parentCluster": "]36.5;+inf[",
-						"frequency": 24446,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]43.5;+inf[",
-						"parentCluster": "]36.5;+inf[",
-						"frequency": 13728,
-						"interest": 0.395421,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.743704,
-						"hierarchicalLevel": 0.664957,
-						"rank": 2,
-						"hierarchicalRank": 13,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]36.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 38174,
-						"interest": 0.782583,
-						"hierarchicalLevel": 0.808675,
-						"rank": 4,
-						"hierarchicalRank": 15,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Never-married, Married-AF-spouse}",
-						"parentCluster": "E1",
-						"frequency": 16154,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Married-civ-spouse}",
-						"parentCluster": "E4",
-						"frequency": 22379,
-						"interest": 0.936208,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Divorced, Widowed, Separated, ...}",
-						"parentCluster": "E4",
-						"frequency": 10309,
-						"interest": 0.730455,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "E1",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.913879,
-						"hierarchicalLevel": 0,
-						"rank": 2,
-						"hierarchicalRank": 6,
-						"isLeaf": false
-					},
-					{
-						"cluster": "E4",
-						"parentCluster": "E1",
-						"frequency": 32688,
-						"interest": 0.871319,
-						"hierarchicalLevel": 0.248722,
-						"rank": 4,
-						"hierarchicalRank": 9,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Female}",
-						"parentCluster": "F3",
-						"frequency": 16192,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Male}",
-						"parentCluster": "F3",
-						"frequency": 32650,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 25,
-						"isLeaf": true
-					},
-					{
-						"cluster": "F3",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 1,
-						"hierarchicalLevel": 0.227766,
-						"rank": 2,
-						"hierarchicalRank": 8,
-						"isLeaf": false
-					}
-				]
-			}
-		],
-		"cellPartIndexes": [
-			[4,0,1,1,1,1],
-			[3,0,1,1,1,1],
-			[4,2,3,2,1,1],
-			[4,3,3,2,1,1],
-			[4,0,1,2,1,1],
-			[4,0,2,1,1,1],
-			[4,2,3,1,1,1],
-			[3,0,1,2,1,1],
-			[3,2,3,2,1,1],
-			[4,3,3,1,1,1],
-			[3,0,2,1,1,1],
-			[4,0,2,2,1,1],
-			[3,3,3,2,1,1],
-			[4,0,0,1,1,1],
-			[3,0,2,2,1,1],
-			[3,2,3,1,1,1],
-			[4,1,1,1,1,1],
-			[3,1,1,1,1,1],
-			[4,6,1,1,2,0],
-			[4,6,2,1,2,0],
-			[1,6,2,0,0,0],
-			[4,3,2,2,1,1],
-			[1,5,2,0,0,0],
-			[4,4,3,2,1,1],
-			[1,2,2,0,0,0],
-			[3,0,0,1,1,1],
-			[2,0,1,1,1,1],
-			[1,4,2,0,0,0],
-			[4,4,2,2,1,1],
-			[2,0,1,1,0,1],
-			[3,4,3,2,1,1],
-			[4,0,1,1,2,1],
-			[3,6,2,1,2,0],
-			[3,0,1,1,0,1],
-			[4,3,2,1,1,1],
-			[4,6,2,1,1,1],
-			[2,6,2,1,0,0],
-			[3,3,3,1,1,1],
-			[1,0,1,1,0,1],
-			[3,3,2,2,1,1],
-			[4,1,0,1,1,1],
-			[0,5,0,0,0,1],
-			[4,4,1,2,1,1],
-			[1,1,1,1,0,1],
-			[0,4,0,0,0,0],
-			[2,2,3,1,0,0],
-			[3,0,1,1,2,1],
-			[4,2,3,1,2,0],
-			[3,4,2,2,1,1],
-			[4,0,0,2,1,1],
-			[1,6,2,1,0,0],
-			[3,6,1,1,2,0],
-			[1,5,2,0,0,1],
-			[1,2,2,0,0,1],
-			[4,3,1,2,1,1],
-			[3,6,2,1,1,1],
-			[0,5,0,0,0,0],
-			[5,2,3,0,1,1],
-			[4,0,3,2,1,1],
-			[4,4,3,1,1,1],
-			[3,6,2,1,0,0],
-			[3,1,2,1,1,1],
-			[4,6,1,1,1,1],
-			[4,6,3,1,1,1],
-			[2,1,1,1,0,1],
-			[2,0,1,2,1,1],
-			[4,2,2,1,1,1],
-			[3,3,1,2,1,1],
-			[3,2,3,1,0,0],
-			[3,4,1,2,1,1],
-			[1,2,2,1,0,1],
-			[4,3,1,1,1,1],
-			[4,5,1,1,2,0],
-			[4,4,2,1,1,1],
-			[3,0,2,1,0,1],
-			[3,0,1,2,2,1],
-			[2,2,3,1,0,1],
-			[3,1,0,1,1,1],
-			[2,0,2,1,0,1],
-			[5,0,0,1,1,1],
-			[5,0,1,1,1,1],
-			[3,0,0,2,1,1],
-			[3,0,1,2,0,1],
-			[3,1,1,1,0,1],
-			[4,0,3,1,1,1],
-			[1,0,2,1,0,1],
-			[2,0,2,1,1,1],
-			[3,2,3,1,0,1],
-			[3,2,3,2,0,1],
-			[2,1,1,1,1,1],
-			[1,6,1,1,0,0],
-			[2,6,3,1,0,0],
-			[1,6,2,0,0,1],
-			[2,6,1,1,0,0],
-			[2,0,2,2,1,1],
-			[2,2,3,2,0,1],
-			[4,2,3,2,2,0],
-			[4,4,1,1,1,1],
-			[4,5,1,0,2,0],
-			[3,4,3,1,1,1],
-			[4,0,2,1,2,1],
-			[4,2,3,0,1,1],
-			[1,2,2,1,0,0],
-			[3,1,1,2,1,1],
-			[3,6,1,1,0,0],
-			[4,0,1,2,2,1],
-			[5,2,3,2,1,1],
-			[0,1,0,0,0,1],
-			[4,1,2,1,1,1],
-			[5,2,3,1,1,1],
-			[1,1,2,0,0,1],
-			[3,6,3,1,1,1],
-			[3,6,1,1,1,1],
-			[3,3,2,1,1,1],
-			[1,5,1,0,0,0],
-			[1,4,2,0,0,1],
-			[4,5,1,1,1,1],
-			[5,2,1,0,1,1],
-			[3,0,3,2,1,1],
-			[4,2,2,1,2,0],
-			[3,3,1,1,1,1],
-			[3,2,3,2,0,0],
-			[4,3,2,1,2,0],
-			[4,5,0,1,2,0],
-			[4,3,3,2,2,1],
-			[5,0,1,0,1,1],
-			[2,0,1,2,0,1],
-			[4,1,1,1,2,0],
-			[1,1,2,1,0,1],
-			[3,1,1,1,2,1],
-			[3,5,1,1,2,0],
-			[4,1,1,2,1,1],
-			[3,0,3,1,1,1],
-			[3,5,1,0,2,0],
-			[3,2,2,1,1,1],
-			[4,0,1,0,1,1],
-			[1,0,2,0,0,1],
-			[1,4,1,0,0,0],
-			[3,4,2,1,1,1],
-			[4,2,2,2,1,1],
-			[1,5,1,0,0,1],
-			[3,0,2,1,2,1],
-			[4,2,3,2,2,1],
-			[4,6,1,1,1,0],
-			[4,2,1,1,1,1],
-			[2,0,0,1,0,1],
-			[3,3,2,1,2,0],
-			[0,2,0,0,0,0],
-			[0,2,0,0,0,1],
-			[2,2,3,0,0,1],
-			[4,2,3,1,0,0],
-			[2,2,3,2,0,0],
-			[3,0,1,0,1,1],
-			[3,2,3,0,1,0],
-			[4,0,0,1,2,1],
-			[4,3,1,1,2,0],
-			[1,1,1,0,0,1],
-			[1,5,1,1,0,0],
-			[4,3,3,1,2,0],
-			[2,0,0,1,1,1],
-			[2,1,2,1,0,1],
-			[2,6,3,1,0,1],
-			[3,5,1,1,1,1],
-			[1,5,1,1,0,1],
-			[2,3,3,1,0,0],
-			[3,2,3,1,2,0],
-			[5,0,1,2,1,1],
-			[2,0,2,2,0,1],
-			[4,2,3,0,2,0],
-			[5,2,1,0,2,0],
-			[3,6,2,2,1,1],
-			[4,3,3,2,2,0],
-			[4,4,1,1,2,0],
-			[1,1,0,1,0,1],
-			[2,2,3,1,1,1],
-			[3,6,3,1,0,0],
-			[3,4,1,1,1,1],
-			[4,6,1,0,2,0],
-			[4,6,2,0,2,0],
-			[5,6,1,0,2,0],
-			[5,5,0,0,2,0],
-			[5,2,1,1,1,1],
-			[3,3,3,1,0,0],
-			[4,1,1,1,2,1],
-			[4,2,3,1,2,1],
-			[4,2,3,2,0,0],
-			[5,5,1,0,2,0],
-			[5,2,0,0,1,1],
-			[5,2,2,0,1,1],
-			[1,0,1,0,0,1],
-			[3,5,1,1,0,0],
-			[3,5,1,1,0,1],
-			[4,6,1,1,0,0],
-			[4,6,2,2,1,1],
-			[4,5,0,1,1,1],
-			[5,0,0,0,1,1],
-			[1,6,2,1,0,1],
-			[2,6,2,1,0,1],
-			[2,2,3,2,1,1],
-			[3,3,3,1,0,1],
-			[3,3,3,2,0,1],
-			[4,2,3,1,1,0],
-			[2,6,1,1,0,1],
-			[3,0,0,1,0,1],
-			[4,1,0,1,2,0],
-			[5,3,3,2,1,1],
-			[2,4,3,2,0,1],
-			[3,3,3,2,0,0],
-			[3,1,2,2,1,1],
-			[4,3,2,2,2,0],
-			[4,5,0,0,2,0],
-			[4,2,3,1,0,1],
-			[5,3,3,1,1,1],
-			[1,5,2,1,0,0],
-			[2,1,0,1,0,1],
-			[3,0,2,2,0,1],
-			[3,2,3,1,1,0],
-			[4,6,3,2,1,1],
-			[2,6,2,1,2,0],
-			[3,6,2,1,0,1],
-			[3,6,3,2,1,1],
-			[3,0,0,1,2,1],
-			[3,0,2,2,2,1],
-			[3,1,1,1,2,0],
-			[2,3,3,1,0,1],
-			[2,2,3,0,0,0],
-			[3,2,2,2,1,1],
-			[4,6,2,1,1,0],
-			[4,6,3,1,2,0],
-			[5,6,1,1,2,0],
-			[0,4,0,0,0,1],
-			[2,1,0,1,1,1],
-			[3,6,2,1,1,0],
-			[1,6,1,0,0,0],
-			[1,0,0,0,0,1],
-			[2,4,3,1,0,1],
-			[4,0,1,1,2,0],
-			[5,0,0,2,1,1],
-			[2,3,3,2,0,1],
-			[2,1,1,2,1,1],
-			[3,2,2,1,2,0],
-			[4,6,2,1,2,1],
-			[4,6,2,2,2,0],
-			[4,2,3,2,0,1],
-			[2,6,2,1,1,1],
-			[2,1,1,1,0,0],
-			[2,1,2,1,1,1],
-			[3,6,1,1,1,0],
-			[4,2,3,0,1,0],
-			[1,0,1,2,0,1],
-			[2,5,1,1,0,1],
-			[3,4,3,2,0,1],
-			[4,6,1,2,1,1],
-			[4,0,2,0,1,1],
-			[4,3,3,1,2,1],
-			[4,2,1,1,2,0],
-			[3,6,3,1,0,1],
-			[3,2,3,2,1,0],
-			[4,2,3,2,1,0],
-			[1,0,0,1,0,1],
-			[2,6,2,0,0,0],
-			[3,5,2,1,2,0],
-			[3,2,3,0,1,1],
-			[4,0,1,1,0,1],
-			[2,5,1,1,0,0],
-			[4,5,2,1,2,0],
-			[1,4,2,1,0,1],
-			[2,4,3,1,0,0],
-			[3,6,2,2,2,0],
-			[4,6,2,1,0,0],
-			[0,6,0,0,0,0],
-			[1,5,2,1,0,1],
-			[2,0,1,1,2,1],
-			[2,3,3,2,1,1],
-			[2,5,1,0,0,0],
-			[3,6,1,1,0,1],
-			[3,6,2,0,2,0],
-			[3,1,1,1,0,0],
-			[3,5,1,0,0,0],
-			[4,0,2,2,2,1],
-			[0,0,0,0,0,1],
-			[3,2,3,2,2,0],
-			[3,4,2,1,2,0],
-			[4,0,0,0,1,1],
-			[1,6,1,1,0,1],
-			[1,4,2,1,0,0],
-			[2,5,2,0,0,0],
-			[3,1,2,1,2,1],
-			[4,5,2,0,2,0],
-			[4,4,1,0,2,0],
-			[5,2,3,0,2,0],
-			[1,4,1,1,0,1],
-			[2,4,2,1,0,0],
-			[2,4,2,1,0,1],
-			[2,4,2,2,0,1],
-			[4,4,2,1,2,0],
-			[4,4,2,2,2,1],
-			[4,4,3,2,2,1],
-			[5,6,2,1,2,0],
-			[1,2,2,2,0,1],
-			[2,6,2,1,1,0],
-			[3,5,2,1,1,1],
-			[4,3,2,2,2,1],
-			[4,1,0,2,1,1],
-			[5,0,2,1,1,1],
-			[1,1,1,2,0,1],
-			[1,2,3,0,0,0],
-			[3,6,1,2,1,1],
-			[3,2,1,1,1,1],
-			[4,1,2,1,2,1],
-			[5,2,0,1,1,1],
-			[5,2,2,0,2,0],
-			[1,0,2,2,0,1],
-			[2,5,2,1,0,0],
-			[2,5,2,1,0,1],
-			[2,4,3,2,1,1],
-			[3,1,0,1,0,1],
-			[3,5,2,0,2,0],
-			[4,1,0,1,2,1],
-			[4,2,1,2,1,1],
-			[4,2,2,0,2,0],
-			[1,6,3,1,0,0],
-			[1,0,1,1,1,1],
-			[1,2,1,1,0,1],
-			[1,2,3,1,0,0],
-			[2,0,0,2,1,1],
-			[2,3,3,1,1,1],
-			[2,1,1,2,0,1],
-			[2,2,2,1,0,0],
-			[3,5,0,1,1,1],
-			[5,3,2,1,1,1],
-			[1,2,1,0,0,0],
-			[2,2,2,1,0,1],
-			[3,6,1,0,2,0],
-			[3,3,3,2,2,1],
-			[3,2,3,0,0,0],
-			[4,1,3,1,1,1],
-			[1,4,1,1,0,0],
-			[2,3,2,1,0,0],
-			[2,3,3,2,0,0],
-			[2,4,1,1,0,1],
-			[3,1,1,2,0,1],
-			[3,5,0,1,2,0],
-			[3,2,2,1,0,0],
-			[4,0,2,1,0,1],
-			[5,6,2,0,2,0],
-			[5,1,0,1,1,1],
-			[5,1,1,1,1,1],
-			[1,1,0,0,0,1],
-			[2,6,3,0,0,0],
-			[2,0,1,0,0,1],
-			[3,0,1,1,2,0],
-			[3,3,2,1,0,0],
-			[3,4,2,2,0,1],
-			[4,6,1,1,2,1],
-			[4,6,1,2,2,0],
-			[4,3,1,2,2,0],
-			[4,1,2,2,1,1],
-			[1,1,1,1,0,0],
-			[1,5,0,0,0,1],
-			[3,0,0,0,1,1],
-			[3,2,1,1,2,0],
-			[4,6,3,1,2,1],
-			[4,3,3,0,1,1],
-			[4,5,1,1,0,0],
-			[4,5,2,1,1,1],
-			[5,0,2,0,1,1],
-			[0,4,1,0,0,0],
-			[2,6,1,1,2,0],
-			[2,1,1,0,0,1],
-			[2,5,1,0,0,1],
-			[2,4,2,0,0,1],
-			[3,6,2,0,1,0],
-			[3,6,2,0,0,0],
-			[3,3,3,1,2,0],
-			[3,3,3,1,1,0],
-			[3,2,2,1,0,1],
-			[3,4,3,1,0,1],
-			[4,1,2,1,2,0],
-			[4,5,1,2,1,1],
-			[1,2,1,1,0,0],
-			[2,6,1,1,1,1],
-			[2,6,2,2,0,0],
-			[2,0,3,1,0,1],
-			[2,3,2,2,1,1],
-			[2,4,1,2,1,1],
-			[3,6,2,2,0,0],
-			[3,3,1,1,2,0],
-			[3,1,2,1,0,1],
-			[3,5,1,2,1,1],
-			[3,5,2,1,0,0],
-			[3,2,3,1,2,1],
-			[3,4,3,1,0,0],
-			[4,3,0,2,1,1],
-			[4,5,1,0,1,0],
-			[5,3,3,0,1,1],
-			[5,5,0,1,2,0],
-			[5,4,1,2,1,1],
-			[5,4,2,1,1,1],
-			[0,2,0,1,0,1],
-			[1,2,3,1,0,1],
-			[2,4,2,1,1,1],
-			[2,4,2,2,1,1],
-			[3,3,2,2,2,1],
-			[3,2,2,0,1,0],
-			[4,0,0,2,2,1],
-			[4,0,1,2,0,1],
-			[4,1,1,1,0,1],
-			[4,2,2,0,1,1],
-			[4,4,2,2,2,0],
-			[5,3,1,1,1,1],
-			[5,2,2,1,1,1],
-			[5,4,1,0,2,0],
-			[5,4,1,0,1,1],
-			[5,4,2,0,1,1],
-			[5,4,3,0,1,1],
-			[0,4,2,0,0,0],
-			[1,6,3,0,0,0],
-			[1,4,1,2,0,1],
-			[2,6,3,0,0,1],
-			[3,6,1,1,2,1],
-			[3,0,0,2,0,1],
-			[3,1,0,1,2,1],
-			[3,5,0,0,2,0],
-			[3,5,1,1,2,1],
-			[4,6,1,0,1,0],
-			[4,5,1,1,2,1],
-			[5,2,0,0,2,0],
-			[2,3,2,1,0,1],
-			[3,6,1,0,1,0],
-			[3,6,2,1,2,1],
-			[3,0,2,1,2,0],
-			[4,6,2,0,1,0],
-			[4,2,2,0,1,0],
-			[5,0,2,2,1,1],
-			[5,4,3,1,1,1],
-			[1,2,1,0,0,1],
-			[2,1,1,1,2,1],
-			[3,0,1,0,0,1],
-			[3,0,2,0,1,1],
-			[3,3,2,1,1,0],
-			[3,3,3,2,2,0],
-			[3,1,0,1,2,0],
-			[3,1,0,2,1,1],
-			[3,5,1,2,2,0],
-			[3,2,1,2,1,1],
-			[3,4,1,1,2,0],
-			[3,4,2,2,2,1],
-			[4,3,3,2,0,0],
-			[4,1,1,1,1,0],
-			[5,3,2,0,1,1],
-			[5,5,1,1,1,1],
-			[5,2,3,1,2,0],
-			[0,5,1,0,0,0],
-			[1,0,0,2,0,1],
-			[1,3,2,1,0,1],
-			[2,6,2,0,0,1],
-			[2,0,0,2,0,1],
-			[2,5,2,0,0,1],
-			[2,4,1,1,1,1],
-			[2,4,3,1,1,1],
-			[3,2,2,1,1,0],
-			[4,3,1,2,2,1],
-			[4,3,3,1,0,1],
-			[4,5,2,2,1,1],
-			[4,2,1,0,1,1],
-			[4,4,0,2,1,1],
-			[5,6,1,1,1,1],
-			[5,4,1,1,1,1],
-			[5,4,3,2,1,1],
-			[1,6,1,0,0,1],
-			[1,1,1,1,1,1],
-			[1,5,0,1,0,1],
-			[2,6,1,1,1,0],
-			[2,0,1,2,2,1],
-			[2,1,2,2,0,1],
-			[2,5,0,1,0,0],
-			[2,2,1,1,0,1],
-			[2,4,2,0,0,0],
-			[3,0,0,2,2,1],
-			[3,3,2,2,0,1],
-			[3,5,1,0,0,1],
-			[3,5,2,1,0,1],
-			[3,2,3,0,0,1],
-			[4,6,0,1,2,0],
-			[4,6,3,1,1,0],
-			[4,3,2,1,2,1],
-			[4,4,1,2,2,0],
-			[5,3,1,0,1,1],
-			[5,5,0,0,1,1],
-			[5,5,1,0,1,1],
-			[1,5,0,0,0,0],
-			[2,6,3,2,0,1],
-			[3,6,1,2,2,0],
-			[3,6,3,1,2,0],
-			[3,3,2,1,0,1],
-			[3,3,2,2,2,0],
-			[3,2,2,0,2,0],
-			[3,2,3,0,2,0],
-			[3,2,3,2,2,1],
-			[3,4,1,1,0,0],
-			[3,4,1,2,2,1],
-			[4,6,1,1,0,1],
-			[4,2,3,0,2,1],
-			[4,4,1,1,1,0],
-			[4,4,2,0,2,0],
-			[1,3,2,0,0,0],
-			[1,1,0,1,1,1],
-			[2,3,1,1,0,0],
-			[2,3,2,2,0,1],
-			[2,1,2,0,0,1],
-			[2,2,1,1,0,0],
-			[2,2,3,1,1,0],
-			[3,6,3,1,1,0],
-			[3,5,2,0,1,0],
-			[3,2,2,0,0,0],
-			[4,6,3,1,0,0],
-			[4,0,1,0,2,1],
-			[4,3,3,1,1,0],
-			[4,1,0,1,0,1],
-			[4,4,1,0,1,1],
-			[4,4,3,2,2,0],
-			[5,0,3,0,1,1],
-			[5,3,1,2,1,1],
-			[0,1,0,1,0,1],
-			[0,5,2,0,0,0],
-			[0,5,2,0,0,1],
-			[0,2,1,0,0,0],
-			[1,0,2,1,1,1],
-			[1,3,2,1,0,0],
-			[1,1,2,0,0,0],
-			[1,5,1,2,0,0],
-			[1,4,1,0,0,1],
-			[2,6,3,2,0,0],
-			[2,3,1,2,1,1],
-			[2,3,2,1,1,1],
-			[2,5,1,1,1,1],
-			[2,2,2,1,1,1],
-			[2,4,3,2,0,0],
-			[3,6,1,0,0,0],
-			[3,3,1,2,0,1],
-			[3,5,1,0,1,0],
-			[3,5,2,0,0,0],
-			[3,4,2,1,2,1],
-			[3,4,2,1,0,0],
-			[3,4,2,1,0,1],
-			[4,6,0,1,1,1],
-			[4,0,3,1,2,1],
-			[4,3,3,1,0,0],
-			[4,3,3,2,0,1],
-			[4,1,1,2,2,0],
-			[4,5,1,1,0,1],
-			[4,2,0,1,1,1],
-			[4,2,1,0,2,0],
-			[4,2,1,1,2,1],
-			[4,2,2,1,2,1],
-			[4,2,2,1,1,0],
-			[4,2,2,2,2,0],
-			[5,6,2,1,1,1],
-			[5,5,1,1,2,0],
-			[5,2,1,1,2,0],
-			[0,0,0,1,0,1],
-			[0,2,2,0,0,0],
-			[1,3,3,1,0,1],
-			[1,2,0,1,0,1],
-			[2,5,1,0,2,0],
-			[2,2,2,0,0,0],
-			[3,0,3,1,0,1],
-			[3,5,0,1,0,0],
-			[3,5,1,1,1,0],
-			[3,4,3,2,0,0],
-			[4,6,2,1,0,1],
-			[4,0,3,2,2,1],
-			[4,3,1,0,1,1],
-			[4,1,0,1,0,0],
-			[4,5,1,1,1,0],
-			[4,5,1,2,2,0],
-			[5,3,2,2,1,1],
-			[0,6,1,0,0,0],
-			[1,6,2,2,0,1],
-			[1,5,0,1,0,0],
-			[1,4,0,0,0,0],
-			[2,6,1,2,0,1],
-			[2,6,3,1,1,1],
-			[2,1,0,1,0,0],
-			[3,6,3,0,1,0],
-			[3,0,2,1,0,0],
-			[3,0,3,2,2,1],
-			[3,3,2,2,1,0],
-			[3,1,1,2,2,1],
-			[3,5,0,0,0,0],
-			[3,5,2,0,0,1],
-			[4,0,0,1,0,1],
-			[4,0,2,2,0,1],
-			[4,0,3,0,1,1],
-			[4,3,1,1,1,0],
-			[4,3,2,1,0,0],
-			[4,1,1,2,2,1],
-			[4,2,2,2,2,1],
-			[4,4,3,2,0,1],
-			[5,1,0,1,2,0],
-			[5,5,2,0,2,0],
-			[5,2,0,0,2,1],
-			[1,0,2,0,0,0],
-			[1,2,3,0,0,1],
-			[2,6,1,0,0,0],
-			[2,0,2,0,0,1],
-			[2,0,3,2,1,1],
-			[2,2,3,0,1,0],
-			[2,4,1,1,0,0],
-			[3,6,3,2,0,0],
-			[3,6,3,2,0,1],
-			[3,3,1,2,2,1],
-			[3,1,1,1,1,0],
-			[3,5,0,1,0,1],
-			[3,5,2,2,2,0],
-			[3,4,1,0,2,0],
-			[3,4,3,2,2,1],
-			[4,0,0,1,2,0],
-			[4,3,1,1,2,1],
-			[4,3,2,1,1,0],
-			[4,3,3,2,1,0],
-			[4,5,0,0,1,0],
-			[4,2,3,0,0,1],
-			[4,4,0,1,1,1],
-			[4,4,1,2,2,1],
-			[4,4,3,1,2,1],
-			[5,3,2,1,2,0],
-			[5,2,1,2,1,1],
-			[5,2,2,1,2,0],
-			[5,4,2,2,1,1],
-			[0,5,1,0,0,1],
-			[1,0,2,1,0,0],
-			[1,3,3,1,0,0],
-			[1,1,1,0,0,0],
-			[1,1,2,1,0,0],
-			[1,5,2,2,0,1],
-			[1,2,0,0,0,0],
-			[1,4,2,2,0,1],
-			[2,6,2,2,1,1],
-			[2,6,2,2,0,1],
-			[2,3,1,1,1,1],
-			[2,1,1,1,2,0],
-			[2,1,2,2,1,1],
-			[2,5,0,1,0,1],
-			[2,5,1,1,2,0],
-			[3,0,0,0,2,1],
-			[3,3,2,1,2,1],
-			[3,3,2,2,0,0],
-			[3,3,3,1,2,1],
-			[3,1,2,1,2,0],
-			[3,1,3,1,1,1],
-			[3,2,1,0,2,0],
-			[3,2,2,1,2,1],
-			[3,4,2,0,2,0],
-			[4,6,1,0,1,1],
-			[4,6,3,1,0,1],
-			[4,3,0,1,1,1],
-			[4,1,1,0,1,1],
-			[4,1,1,1,0,0],
-			[4,5,0,0,1,1],
-			[4,2,3,0,0,0],
-			[4,4,2,0,1,1],
-			[4,4,3,1,2,0],
-			[5,6,2,0,1,1],
-			[5,0,0,0,2,1],
-			[0,1,1,0,0,1],
-			[2,0,3,2,0,1],
-			[2,3,3,1,1,0],
-			[2,5,2,0,2,0],
-			[2,2,1,1,2,0],
-			[2,2,2,0,0,1],
-			[2,2,3,0,1,1],
-			[2,4,1,2,0,1],
-			[3,6,1,2,0,0],
-			[3,6,1,2,0,1],
-			[3,3,1,1,2,1],
-			[3,3,3,2,1,0],
-			[3,2,1,1,0,1],
-			[3,2,2,0,1,1],
-			[3,4,1,0,0,0],
-			[3,4,1,1,0,1],
-			[3,4,2,1,1,0],
-			[4,6,3,0,2,0],
-			[4,6,3,0,1,1],
-			[4,0,2,0,2,1],
-			[4,0,2,1,2,0],
-			[4,3,2,2,1,0],
-			[4,3,3,0,1,0],
-			[4,5,0,1,0,0],
-			[4,5,3,1,1,1],
-			[4,2,1,1,1,0],
-			[4,4,3,0,1,1],
-			[5,2,3,2,2,1],
-			[5,4,2,0,2,0],
-			[1,0,0,1,1,1],
-			[1,3,2,0,0,1],
-			[1,1,2,2,0,1],
-			[2,6,1,2,0,0],
-			[2,6,2,0,2,0],
-			[2,0,0,0,1,1],
-			[2,0,3,1,1,1],
-			[2,3,1,1,2,0],
-			[2,3,1,1,0,1],
-			[2,1,3,1,0,1],
-			[2,5,2,1,1,1],
-			[2,2,2,0,2,0],
-			[2,2,2,1,1,0],
-			[2,4,3,0,0,0],
-			[3,0,1,1,0,0],
-			[3,3,1,1,1,0],
-			[3,3,1,1,0,0],
-			[3,3,1,1,0,1],
-			[3,5,2,2,1,1],
-			[3,5,2,2,0,1],
-			[3,2,1,0,1,1],
-			[3,2,1,1,0,0],
-			[3,4,3,1,2,0],
-			[4,3,2,0,2,0],
-			[4,5,1,0,1,1],
-			[4,5,1,0,0,0],
-			[4,4,1,1,2,1],
-			[5,0,1,0,2,1],
-			[5,0,1,1,2,1],
-			[5,3,0,0,1,1],
-			[5,2,0,1,2,0],
-			[5,4,0,0,1,1],
-			[0,5,0,1,0,1],
-			[1,0,1,2,1,1],
-			[1,3,3,0,0,0],
-			[1,1,2,1,1,1],
-			[1,5,1,2,0,1],
-			[2,0,0,0,0,1],
-			[2,0,1,0,1,1],
-			[2,0,1,1,0,0],
-			[2,3,3,0,0,1],
-			[2,1,0,2,0,1],
-			[2,1,1,1,1,0],
-			[2,5,0,0,0,1],
-			[2,5,1,0,1,0],
-			[2,5,1,2,0,0],
-			[2,5,2,2,0,0],
-			[2,5,3,0,0,0],
-			[2,5,3,1,0,1],
-			[2,2,2,1,2,0],
-			[2,2,3,2,1,0],
-			[2,4,1,0,0,0],
-			[3,6,2,0,1,1],
-			[3,6,2,2,0,1],
-			[3,0,1,0,2,1],
-			[3,0,1,1,1,0],
-			[3,0,2,0,0,1],
-			[3,1,1,0,2,0],
-			[3,1,1,0,0,0],
-			[3,1,2,1,0,0],
-			[3,1,2,2,0,1],
-			[3,5,1,0,1,1],
-			[3,5,3,1,1,1],
-			[3,5,3,1,0,1],
-			[3,4,1,2,0,1],
-			[4,0,0,0,2,1],
-			[4,0,1,2,2,0],
-			[4,5,0,1,2,1],
-			[4,5,0,1,1,0],
-			[4,5,0,2,2,0],
-			[4,5,2,0,1,1],
-			[4,5,2,1,0,0],
-			[4,5,2,2,2,0],
-			[4,2,0,1,2,1],
-			[4,4,0,1,2,0],
-			[4,4,1,1,0,0],
-			[5,3,1,1,2,0],
-			[5,1,0,0,2,0],
-			[5,1,0,0,1,1],
-			[5,1,1,1,2,0],
-			[5,5,0,1,1,1],
-			[5,2,0,1,2,1],
-			[5,2,0,2,1,1],
-			[0,2,0,1,0,0],
-			[1,6,3,1,0,1],
-			[1,0,1,1,0,0],
-			[1,2,3,2,0,1],
-			[1,4,2,2,0,0],
-			[1,4,3,0,0,0],
-			[2,1,2,1,0,0],
-			[2,5,0,0,0,0],
-			[2,4,1,0,2,0],
-			[2,4,1,2,0,0],
-			[3,6,3,0,0,0],
-			[3,0,3,0,1,1],
-			[3,3,1,2,2,0],
-			[3,5,1,2,0,1],
-			[3,2,1,0,1,0],
-			[3,4,0,1,2,0],
-			[3,4,1,0,1,0],
-			[3,4,2,2,0,0],
-			[4,6,2,0,1,1],
-			[4,6,2,2,0,0],
-			[4,6,3,2,2,0],
-			[4,5,0,1,0,1],
-			[4,5,0,2,1,1],
-			[4,5,2,1,2,1],
-			[4,2,0,0,2,0],
-			[4,2,2,1,0,0],
-			[4,4,1,0,1,0],
-			[5,0,0,1,2,1],
-			[5,0,3,2,1,1],
-			[5,2,1,0,2,1],
-			[5,2,3,0,2,1],
-			[0,6,2,0,0,0],
-			[0,2,2,0,0,1],
-			[1,3,3,0,0,1],
-			[1,1,1,2,1,1],
-			[1,5,3,0,0,0],
-			[1,2,0,0,0,1],
-			[1,4,3,0,0,1],
-			[1,4,3,1,0,0],
-			[2,6,2,0,1,0],
-			[2,0,0,1,2,1],
-			[2,0,2,1,2,1],
-			[2,0,3,0,0,1],
-			[2,3,2,0,0,1],
-			[2,3,2,2,0,0],
-			[2,1,0,1,2,1],
-			[2,5,0,0,2,0],
-			[2,5,1,2,0,1],
-			[2,2,1,1,1,1],
-			[2,2,2,2,0,1],
-			[3,6,3,1,2,1],
-			[3,0,3,2,0,1],
-			[3,5,2,1,1,0],
-			[3,5,3,0,0,0],
-			[3,2,2,0,0,1],
-			[3,2,2,2,2,1],
-			[3,4,3,1,2,1],
-			[4,6,1,0,0,0],
-			[4,3,2,0,1,1],
-			[4,3,2,2,0,1],
-			[4,5,2,0,2,1],
-			[4,5,3,0,2,0],
-			[4,2,0,0,1,1],
-			[4,2,0,1,2,0],
-			[4,2,1,2,2,0],
-			[4,4,1,1,0,1],
-			[4,4,2,1,2,1],
-			[4,4,2,2,0,1],
-			[4,4,3,0,2,0],
-			[5,6,1,1,0,0],
-			[5,0,1,1,2,0],
-			[5,0,1,2,2,1],
-			[5,3,1,0,2,0],
-			[5,5,1,2,2,0],
-			[5,5,2,1,2,0],
-			[5,2,3,1,2,1],
-			[5,2,3,2,2,0],
-			[5,4,1,1,2,0],
-			[0,6,1,1,0,0],
-			[0,0,1,0,0,1],
-			[0,0,1,1,0,1],
-			[0,2,2,1,0,0],
-			[1,1,0,1,0,0],
-			[1,1,0,2,0,1],
-			[1,5,2,2,0,0],
-			[1,4,0,1,0,0],
-			[1,4,1,1,1,1],
-			[2,6,2,2,2,0],
-			[2,0,2,2,2,1],
-			[2,3,2,1,2,0],
-			[2,3,3,0,0,0],
-			[2,1,0,1,2,0],
-			[2,1,1,0,0,0],
-			[2,5,0,1,2,0],
-			[2,5,3,1,0,0],
-			[2,2,0,0,0,0],
-			[2,2,2,2,1,1],
-			[2,4,1,1,2,0],
-			[3,6,0,1,2,0],
-			[3,6,2,0,0,1],
-			[3,6,2,2,2,1],
-			[3,6,3,0,2,0],
-			[3,0,0,0,0,1],
-			[3,0,3,1,2,1],
-			[3,1,1,0,2,1],
-			[3,2,0,0,2,0],
-			[3,2,2,2,1,0],
-			[3,4,1,1,1,0],
-			[4,6,3,2,0,1],
-			[4,0,1,1,1,0],
-			[4,0,2,2,2,0],
-			[4,3,1,0,2,0],
-			[4,3,1,1,0,0],
-			[4,1,2,2,2,1],
-			[4,5,0,0,0,0],
-			[4,5,1,0,0,1],
-			[4,2,1,0,2,1],
-			[4,2,2,0,0,0],
-			[5,6,1,0,1,1],
-			[5,6,3,1,1,1],
-			[5,0,3,1,1,1],
-			[5,3,0,1,1,1],
-			[5,3,3,1,2,0],
-			[5,1,1,0,1,1],
-			[5,2,1,0,1,0],
-			[5,2,2,2,1,1],
-			[5,2,3,0,0,0],
-			[0,6,0,0,0,1],
-			[0,1,1,1,0,1],
-			[1,6,1,1,2,0],
-			[1,6,1,2,0,0],
-			[1,6,2,1,1,1],
-			[1,6,2,2,0,0],
-			[1,0,0,2,1,1],
-			[1,3,1,1,0,1],
-			[1,3,2,2,0,1],
-			[1,5,1,0,2,0],
-			[1,2,1,0,1,0],
-			[1,2,2,2,0,0],
-			[1,4,3,2,0,1],
-			[2,6,2,1,2,1],
-			[2,5,1,1,2,1],
-			[2,2,0,1,0,1],
-			[2,4,2,1,2,0],
-			[2,4,3,0,0,1],
-			[3,3,2,0,2,0],
-			[3,3,2,0,1,1],
-			[3,3,3,0,1,0],
-			[3,1,0,1,0,0],
-			[3,1,1,0,1,1],
-			[3,1,2,2,2,1],
-			[3,5,0,0,1,0],
-			[3,5,0,0,0,1],
-			[3,5,0,1,1,0],
-			[3,5,2,0,1,1],
-			[3,2,1,0,0,0],
-			[3,2,2,2,0,1],
-			[3,2,3,0,2,1],
-			[3,4,2,0,0,1],
-			[3,4,3,0,1,1],
-			[4,6,0,2,1,1],
-			[4,3,2,1,0,1],
-			[4,1,0,0,2,0],
-			[4,1,0,1,1,0],
-			[4,1,0,2,2,1],
-			[4,1,1,0,2,0],
-			[4,1,2,1,0,1],
-			[4,5,0,0,0,1],
-			[4,5,1,0,2,1],
-			[4,5,3,1,2,0],
-			[4,2,0,2,1,1],
-			[4,2,1,0,1,0],
-			[4,4,2,1,1,0],
-			[5,6,0,0,2,0],
-			[5,6,1,0,1,0],
-			[5,3,2,0,2,0],
-			[5,1,0,1,2,1],
-			[5,2,3,2,0,1],
-			[5,4,0,1,2,0],
-			[5,4,0,1,1,1],
-			[0,4,1,0,0,1],
-			[0,4,1,1,0,0],
-			[0,4,2,0,0,1],
-			[1,6,0,0,0,0],
-			[1,6,3,0,0,1],
-			[1,0,2,2,1,1],
-			[1,3,1,1,0,0],
-			[1,5,0,2,0,1],
-			[1,2,1,2,0,1],
-			[2,6,1,0,2,0],
-			[2,6,1,0,1,0],
-			[2,0,3,1,0,0],
-			[2,3,1,2,0,0],
-			[2,3,1,2,0,1],
-			[2,3,2,1,1,0],
-			[2,3,3,2,1,0],
-			[2,1,2,1,2,1],
-			[2,5,2,2,0,1],
-			[2,2,0,1,0,0],
-			[2,2,1,0,1,0],
-			[2,2,2,0,1,0],
-			[2,2,3,2,2,0],
-			[2,4,1,0,0,1],
-			[3,6,0,1,1,1],
-			[3,6,3,0,1,1],
-			[3,3,2,0,1,0],
-			[3,1,0,2,0,1],
-			[3,1,1,0,0,1],
-			[3,1,1,2,2,0],
-			[3,1,3,2,1,1],
-			[3,5,0,1,2,1],
-			[3,5,1,2,0,0],
-			[3,5,2,1,2,1],
-			[3,2,0,1,2,0],
-			[3,4,1,2,2,0],
-			[3,4,2,0,1,1],
-			[3,4,3,0,0,0],
-			[4,6,2,2,0,1],
-			[4,0,2,0,0,1],
-			[4,0,2,1,0,0],
-			[4,0,3,2,0,1],
-			[4,3,1,0,1,0],
-			[4,3,2,0,1,0],
-			[4,3,2,2,0,0],
-			[4,3,3,0,2,0],
-			[4,1,0,2,2,0],
-			[4,5,2,1,0,1],
-			[4,5,3,1,2,1],
-			[4,5,3,2,2,0],
-			[4,4,0,0,2,0],
-			[4,4,1,2,1,0],
-			[4,4,3,1,0,1],
-			[5,6,3,0,2,0],
-			[5,0,2,0,2,0],
-			[5,1,2,1,1,1],
-			[5,5,2,1,1,1],
-			[5,2,3,0,1,0],
-			[0,0,0,0,0,0],
-			[0,0,0,2,0,1],
-			[0,5,0,1,0,0],
-			[0,2,1,0,0,1],
-			[0,2,2,1,0,1],
-			[1,6,0,1,0,0],
-			[1,0,1,0,0,0],
-			[1,5,0,1,1,1],
-			[1,4,2,1,2,0],
-			[2,6,1,2,2,0],
-			[2,6,1,2,1,1],
-			[2,6,2,2,1,0],
-			[2,6,3,1,1,0],
-			[2,0,2,1,0,0],
-			[2,5,0,1,1,1],
-			[2,5,0,2,0,1],
-			[2,5,1,1,1,0],
-			[2,5,1,2,2,0],
-			[2,5,1,2,1,1],
-			[2,5,2,1,2,1],
-			[2,2,2,0,1,1],
-			[2,2,2,2,0,0],
-			[2,2,3,1,2,0],
-			[2,2,3,2,2,1],
-			[2,4,0,1,0,1],
-			[3,0,0,1,2,0],
-			[3,0,1,2,1,0],
-			[3,0,3,0,0,1],
-			[3,3,1,0,2,0],
-			[3,3,1,2,0,0],
-			[3,1,0,0,2,1],
-			[3,1,0,1,1,0],
-			[3,1,0,2,2,1],
-			[3,1,2,0,2,0],
-			[3,5,3,0,2,0],
-			[3,5,3,0,1,1],
-			[3,2,1,1,1,0],
-			[3,2,2,2,2,0],
-			[3,4,0,1,1,1],
-			[3,4,1,2,0,0],
-			[3,4,2,0,0,0],
-			[3,4,2,2,2,0],
-			[3,4,3,2,2,0],
-			[4,6,2,2,2,1],
-			[4,0,0,0,0,1],
-			[4,0,1,0,0,1],
-			[4,0,1,1,0,0],
-			[4,0,3,0,2,1],
-			[4,3,1,1,0,1],
-			[4,3,3,0,0,0],
-			[4,1,0,0,1,1],
-			[4,1,1,0,2,1],
-			[4,1,1,2,0,1],
-			[4,1,3,1,2,1],
-			[4,1,3,2,1,1],
-			[4,5,2,0,1,0],
-			[4,5,2,0,0,1],
-			[4,2,0,1,1,0],
-			[4,2,1,1,0,0],
-			[5,6,1,1,1,0],
-			[5,6,3,0,1,1],
-			[5,0,0,2,2,1],
-			[5,0,1,1,0,1],
-			[5,3,0,2,1,1],
-			[5,5,0,2,2,0],
-			[5,2,2,0,2,1],
-			[5,2,2,0,1,0],
-			[5,4,0,0,2,0],
-			[5,4,2,0,2,1],
-			[0,4,0,1,0,0],
-			[1,6,1,1,1,1],
-			[1,6,1,2,0,1],
-			[1,6,3,2,0,0],
-			[1,0,0,0,1,1],
-			[1,0,0,1,0,0],
-			[1,0,1,0,1,1],
-			[1,1,1,1,2,1],
-			[1,2,0,1,1,0],
-			[1,4,0,0,0,1],
-			[1,4,1,2,1,1],
-			[1,4,2,0,1,0],
-			[1,4,3,1,0,1],
-			[1,4,3,2,0,0],
-			[2,6,1,0,0,1],
-			[2,6,3,2,1,1],
-			[2,0,0,2,2,1],
-			[2,0,2,0,1,1],
-			[2,0,2,1,2,0],
-			[2,1,0,0,0,1],
-			[2,1,2,2,2,1],
-			[2,1,3,0,0,1],
-			[2,5,0,0,1,0],
-			[2,5,0,1,1,0],
-			[2,5,3,0,0,1],
-			[2,2,1,1,1,0],
-			[2,4,0,2,0,1],
-			[2,4,1,0,1,1],
-			[2,4,2,0,2,0],
-			[2,4,2,1,1,0],
-			[2,4,2,2,0,0],
-			[3,6,0,1,0,0],
-			[3,6,1,2,2,1],
-			[3,6,1,2,1,0],
-			[3,6,2,2,1,0],
-			[3,3,0,1,1,1],
-			[3,3,3,0,1,1],
-			[3,3,3,0,0,0],
-			[3,1,0,0,1,1],
-			[3,1,0,0,0,0],
-			[3,1,2,0,1,1],
-			[3,1,2,2,2,0],
-			[3,5,0,2,1,1],
-			[3,5,1,0,2,1],
-			[3,2,0,1,1,1],
-			[3,2,0,2,1,1],
-			[3,2,1,0,0,1],
-			[3,2,1,2,2,1],
-			[3,4,0,0,0,0],
-			[4,6,0,1,2,1],
-			[4,6,2,0,0,1],
-			[4,6,2,2,1,0],
-			[4,6,3,0,1,0],
-			[4,6,3,0,0,0],
-			[4,6,3,2,2,1],
-			[4,0,2,1,1,0],
-			[4,3,1,2,0,1],
-			[4,3,3,0,2,1],
-			[4,3,3,0,0,1],
-			[4,1,1,0,0,1],
-			[4,1,2,1,0,0],
-			[4,5,2,1,1,0],
-			[4,2,2,1,0,1],
-			[4,4,1,0,2,1],
-			[4,4,2,1,0,1],
-			[4,4,3,0,0,0],
-			[5,6,0,1,2,0],
-			[5,6,0,1,1,1],
-			[5,0,2,1,2,1],
-			[5,3,2,2,2,0],
-			[5,1,1,0,2,0],
-			[5,1,1,1,2,1],
-			[5,5,3,0,2,0],
-			[5,2,1,1,2,1],
-			[5,2,2,1,2,1],
-			[5,4,0,2,1,1],
-			[5,4,2,1,2,0],
-			[5,4,3,0,2,0],
-			[5,4,3,0,2,1],
-			[0,6,2,0,0,1],
-			[0,6,2,1,0,0],
-			[0,1,1,0,0,0],
-			[1,6,1,1,1,0],
-			[1,6,2,1,1,0],
-			[1,0,0,1,2,1],
-			[1,0,1,1,2,1],
-			[1,3,3,2,0,0],
-			[1,1,1,1,2,0],
-			[1,1,1,1,1,0],
-			[1,1,2,0,1,1],
-			[1,5,0,1,2,0],
-			[1,5,1,1,2,0],
-			[1,5,2,0,1,1],
-			[1,2,0,1,2,0],
-			[1,2,0,1,0,0],
-			[1,2,3,2,0,0],
-			[1,4,2,0,2,0],
-			[1,4,2,1,1,1],
-			[2,6,0,1,0,0],
-			[2,6,0,1,0,1],
-			[2,6,1,1,2,1],
-			[2,6,2,0,1,1],
-			[2,6,3,0,1,1],
-			[2,6,3,1,2,0],
-			[2,0,1,0,2,0],
-			[2,0,1,0,2,1],
-			[2,0,1,1,2,0],
-			[2,1,2,0,0,0],
-			[2,5,2,1,1,0],
-			[2,5,3,2,0,0],
-			[2,2,1,0,0,0],
-			[2,4,1,1,2,1],
-			[2,4,1,1,1,0],
-			[3,6,1,0,0,1],
-			[3,0,1,0,1,0],
-			[3,0,1,2,2,0],
-			[3,0,2,0,2,1],
-			[3,0,2,2,2,0],
-			[3,3,0,2,1,1],
-			[3,1,0,0,0,1],
-			[3,1,1,2,0,0],
-			[3,1,3,1,0,1],
-			[3,5,2,2,2,1],
-			[3,5,2,2,0,0],
-			[3,5,3,1,1,0],
-			[3,2,0,0,0,0],
-			[3,2,0,1,2,1],
-			[3,2,0,1,0,0],
-			[3,2,1,1,2,1],
-			[3,4,0,0,2,0],
-			[3,4,0,1,2,1],
-			[3,4,1,0,1,1],
-			[3,4,3,0,0,1],
-			[3,4,3,2,1,0],
-			[4,6,0,0,2,0],
-			[4,6,3,2,1,0],
-			[4,0,0,2,2,0],
-			[4,0,1,0,2,0],
-			[4,0,2,0,2,0],
-			[4,0,3,1,2,0],
-			[4,3,1,2,1,0],
-			[4,1,0,0,0,1],
-			[4,1,0,2,0,1],
-			[4,1,1,0,1,0],
-			[4,1,2,0,1,1],
-			[4,5,1,2,1,0],
-			[4,5,2,2,2,1],
-			[4,5,2,2,0,1],
-			[4,5,3,0,1,1],
-			[4,5,3,2,2,1],
-			[4,2,2,0,2,1],
-			[4,2,2,2,0,0],
-			[4,4,1,2,0,0],
-			[4,4,1,2,0,1],
-			[4,4,3,1,1,0],
-			[5,6,2,1,1,0],
-			[5,6,2,1,0,0],
-			[5,6,2,2,1,1],
-			[5,0,0,0,0,1],
-			[5,0,1,0,2,0],
-			[5,3,3,2,2,1],
-			[5,1,1,2,1,1],
-			[5,1,2,0,1,1],
-			[5,5,0,0,2,1],
-			[5,5,0,1,2,1],
-			[5,5,1,0,2,1],
-			[5,5,2,0,1,1],
-			[5,2,0,0,0,1],
-			[5,2,3,2,0,0],
-			[5,4,1,0,1,0],
-			[5,4,2,2,2,0],
-			[5,4,3,2,2,1],
-			[0,6,1,0,0,1],
-			[0,0,2,0,0,1],
-			[0,1,0,0,0,0],
-			[0,1,2,0,0,1],
-			[0,5,2,1,0,0],
-			[0,2,1,1,0,0],
-			[0,2,1,1,0,1],
-			[1,6,0,1,0,1],
-			[1,6,2,0,1,0],
-			[1,6,2,1,2,0],
-			[1,0,2,1,2,1],
-			[1,0,3,1,0,1],
-			[1,3,3,2,0,1],
-			[1,1,0,1,1,0],
-			[1,1,1,2,2,1],
-			[1,1,3,1,0,1],
-			[1,5,0,0,2,0],
-			[1,5,1,1,1,0],
-			[1,5,1,1,1,1],
-			[1,5,2,1,1,1],
-			[1,5,3,0,0,1],
-			[1,2,2,0,2,0],
-			[1,2,2,0,1,1],
-			[1,4,0,0,2,0],
-			[1,4,1,0,2,0],
-			[1,4,1,1,1,0],
-			[2,0,1,0,0,0],
-			[2,0,2,2,0,0],
-			[2,3,1,1,1,0],
-			[2,3,2,0,1,0],
-			[2,3,3,1,2,0],
-			[2,1,0,2,1,1],
-			[2,1,1,2,2,1],
-			[2,1,2,0,1,1],
-			[2,1,3,2,1,1],
-			[2,5,1,0,1,1],
-			[2,5,2,0,1,1],
-			[2,5,3,1,1,1],
-			[2,2,0,1,2,0],
-			[2,2,1,0,2,0],
-			[2,2,1,0,0,1],
-			[2,2,1,2,1,1],
-			[2,2,2,1,2,1],
-			[2,2,3,0,2,0],
-			[2,4,0,0,0,0],
-			[2,4,0,1,1,1],
-			[2,4,2,0,1,1],
-			[3,6,0,2,1,1],
-			[3,6,3,0,0,1],
-			[3,0,1,0,2,0],
-			[3,0,1,2,0,0],
-			[3,0,3,1,0,0],
-			[3,3,1,2,1,0],
-			[3,3,2,0,0,0],
-			[3,5,0,2,2,0],
-			[3,5,3,0,0,1],
-			[3,5,3,1,2,0],
-			[3,5,3,2,0,0],
-			[3,5,3,2,0,1],
-			[3,2,0,0,1,0],
-			[3,2,0,2,2,0],
-			[3,2,2,2,0,0],
-			[3,4,0,1,0,0],
-			[3,4,0,2,1,1],
-			[3,4,2,0,1,0],
-			[3,4,3,0,1,0],
-			[4,6,0,1,1,0],
-			[4,6,1,2,2,1],
-			[4,6,1,2,1,0],
-			[4,6,1,2,0,1],
-			[4,6,2,0,2,1],
-			[4,6,2,0,0,0],
-			[4,0,0,0,2,0],
-			[4,0,0,1,1,0],
-			[4,0,0,2,0,1],
-			[4,0,3,1,0,0],
-			[4,3,0,1,2,0],
-			[4,3,0,2,2,0],
-			[4,3,1,2,0,0],
-			[4,3,2,0,2,1],
-			[4,1,0,0,0,0],
-			[4,1,3,1,0,1],
-			[4,5,0,0,2,1],
-			[4,5,0,2,2,1],
-			[4,5,0,2,0,0],
-			[4,5,1,2,2,1],
-			[4,5,1,2,0,0],
-			[4,5,2,0,0,0],
-			[4,5,2,2,1,0],
-			[4,5,3,1,0,1],
-			[4,2,0,0,2,1],
-			[4,2,0,2,2,1],
-			[4,2,1,0,0,0],
-			[4,2,1,2,2,1],
-			[4,2,2,2,1,0],
-			[4,2,2,2,0,1],
-			[4,4,0,0,1,1],
-			[4,4,1,0,0,0],
-			[4,4,2,0,2,1],
-			[4,4,2,2,1,0],
-			[4,4,3,0,2,1],
-			[4,4,3,1,0,0],
-			[5,6,1,0,0,0],
-			[5,6,2,0,1,0],
-			[5,6,3,1,2,0],
-			[5,6,3,1,2,1],
-			[5,0,0,0,2,0],
-			[5,0,0,1,0,1],
-			[5,0,2,0,2,1],
-			[5,3,1,1,2,1],
-			[5,3,2,1,2,1],
-			[5,1,0,2,1,1],
-			[5,1,3,1,1,1],
-			[5,5,0,0,1,0],
-			[5,5,3,0,1,1],
-			[5,2,1,2,2,0],
-			[5,2,2,0,0,0],
-			[5,2,3,1,1,0],
-			[5,4,1,0,2,1],
-			[5,4,1,2,2,1],
-			[0,6,0,1,0,1],
-			[0,6,1,1,0,1],
-			[0,3,0,0,0,0],
-			[0,3,1,0,0,0],
-			[0,1,2,0,0,0],
-			[0,5,0,2,0,1],
-			[0,5,1,1,0,0],
-			[1,6,1,0,1,0],
-			[1,6,2,0,2,0],
-			[1,6,2,1,2,1],
-			[1,3,1,2,0,0],
-			[1,3,1,2,0,1],
-			[1,3,2,1,1,0],
-			[1,3,2,2,1,1],
-			[1,1,0,0,1,1],
-			[1,1,0,1,2,1],
-			[1,1,0,2,1,1],
-			[1,1,1,0,1,1],
-			[1,1,1,2,0,0],
-			[1,1,3,0,0,1],
-			[1,5,1,0,1,0],
-			[1,5,2,0,2,0],
-			[1,2,2,0,1,0],
-			[1,4,0,1,0,1],
-			[1,4,1,0,1,1],
-			[1,4,1,1,2,0],
-			[1,4,1,2,0,0],
-			[1,4,2,2,1,1],
-			[1,4,3,1,1,1],
-			[2,6,0,1,2,0],
-			[2,6,1,2,1,0],
-			[2,6,2,0,2,1],
-			[2,6,2,2,2,1],
-			[2,6,3,0,2,0],
-			[2,0,1,2,0,0],
-			[2,0,3,0,1,1],
-			[2,0,3,2,0,0],
-			[2,3,1,2,2,0],
-			[2,3,3,0,1,0],
-			[2,3,3,1,2,1],
-			[2,3,3,2,2,0],
-			[2,1,0,0,1,1],
-			[2,1,0,0,0,0],
-			[2,1,0,1,1,0],
-			[2,1,1,2,0,0],
-			[2,1,3,1,1,1],
-			[2,1,3,1,0,0],
-			[2,1,3,2,0,1],
-			[2,2,0,2,1,1],
-			[2,2,1,2,0,0],
-			[2,2,3,1,2,1],
-			[2,4,0,1,2,0],
-			[2,4,2,0,1,0],
-			[2,4,2,2,2,1],
-			[2,4,3,0,1,1],
-			[2,4,3,2,1,0],
-			[3,6,0,1,2,1],
-			[3,6,0,1,1,0],
-			[3,6,1,0,1,1],
-			[3,6,2,0,2,1],
-			[3,6,3,2,2,0],
-			[3,0,0,1,0,0],
-			[3,0,2,0,2,0],
-			[3,0,2,0,1,0],
-			[3,0,2,1,1,0],
-			[3,0,3,2,0,0],
-			[3,3,1,0,1,0],
-			[3,3,1,0,1,1],
-			[3,3,1,0,0,0],
-			[3,3,3,0,2,0],
-			[3,3,3,0,2,1],
-			[3,1,1,0,1,0],
-			[3,1,1,2,1,0],
-			[3,1,2,2,0,0],
-			[3,5,0,0,2,1],
-			[3,5,0,0,1,1],
-			[3,5,1,2,1,0],
-			[3,5,3,0,1,0],
-			[3,5,3,1,2,1],
-			[3,5,3,2,1,1],
-			[3,2,0,1,0,1],
-			[3,4,0,0,1,1],
-			[3,4,1,1,2,1],
-			[3,4,3,1,1,0],
-			[4,6,3,2,0,0],
-			[4,0,1,2,0,0],
-			[4,0,2,0,1,0],
-			[4,0,3,0,0,1],
-			[4,0,3,1,0,1],
-			[4,3,2,0,0,0],
-			[4,1,0,0,1,0],
-			[4,1,2,1,1,0],
-			[4,1,2,2,1,0],
-			[4,1,3,0,1,1],
-			[4,1,3,1,2,0],
-			[4,5,0,2,1,0],
-			[4,5,3,0,0,0],
-			[4,5,3,2,0,1],
-			[4,2,0,0,1,0],
-			[4,2,1,0,0,1],
-			[4,2,1,1,0,1],
-			[4,2,2,0,0,1],
-			[4,4,0,2,2,1],
-			[4,4,2,0,1,0],
-			[4,4,3,0,1,0],
-			[5,6,1,2,2,0],
-			[5,6,2,1,2,1],
-			[5,0,0,1,2,0],
-			[5,0,3,0,2,1],
-			[5,3,1,0,2,1],
-			[5,3,3,0,2,0],
-			[5,3,3,1,2,1],
-			[5,3,3,2,2,0],
-			[5,3,3,2,0,1],
-			[5,1,0,1,1,0],
-			[5,1,1,0,2,1],
-			[5,1,2,2,1,1],
-			[5,5,1,0,0,0],
-			[5,5,1,1,2,1],
-			[5,5,2,1,2,1],
-			[5,2,2,0,0,1],
-			[5,2,2,1,0,1],
-			[5,2,2,2,2,0],
-			[5,2,3,0,0,1],
-			[5,2,3,1,0,1],
-			[5,4,1,2,2,0],
-			[0,6,2,1,0,1],
-			[0,0,0,1,0,0],
-			[0,1,1,1,0,0],
-			[0,5,2,1,0,1],
-			[0,2,0,2,0,0],
-			[0,2,0,2,0,1],
-			[0,2,2,2,0,1],
-			[1,6,0,0,0,1],
-			[1,6,1,0,2,0],
-			[1,0,1,2,2,1],
-			[1,0,2,0,1,1],
-			[1,0,3,0,0,1],
-			[1,3,1,2,1,1],
-			[1,3,2,2,0,0],
-			[1,1,0,0,0,0],
-			[1,1,0,2,0,0],
-			[1,5,0,0,1,1],
-			[1,5,1,0,1,1],
-			[1,5,2,2,1,1],
-			[1,5,3,1,0,1],
-			[1,2,0,0,2,0],
-			[1,2,1,1,2,0],
-			[1,2,1,2,0,0],
-			[1,2,2,1,1,1],
-			[1,4,1,1,2,1],
-			[1,4,2,0,1,1],
-			[2,6,0,1,1,0],
-			[2,6,0,1,1,1],
-			[2,6,3,0,1,0],
-			[2,0,0,1,2,0],
-			[2,0,0,1,1,0],
-			[2,0,0,2,1,0],
-			[2,0,2,0,2,1],
-			[2,3,0,2,0,1],
-			[2,3,1,1,2,1],
-			[2,3,1,2,2,1],
-			[2,3,2,0,1,1],
-			[2,3,2,0,0,0],
-			[2,3,3,0,1,1],
-			[2,1,0,0,2,1],
-			[2,1,1,0,1,0],
-			[2,1,1,0,1,1],
-			[2,1,2,0,1,0],
-			[2,1,2,1,2,0],
-			[2,1,2,2,0,0],
-			[2,5,0,2,1,1],
-			[2,5,0,2,0,0],
-			[2,5,2,0,2,1],
-			[2,5,2,0,1,0],
-			[2,5,2,1,2,0],
-			[2,5,2,2,2,0],
-			[2,5,2,2,1,0],
-			[2,2,0,0,2,0],
-			[2,2,0,1,1,0],
-			[2,2,0,2,2,0],
-			[2,2,0,2,2,1],
-			[2,2,1,0,1,1],
-			[2,2,1,2,2,0],
-			[2,4,1,0,1,0],
-			[2,4,1,2,2,0],
-			[2,4,1,2,2,1],
-			[2,4,2,2,2,0],
-			[2,4,3,1,2,0],
-			[2,4,3,1,2,1],
-			[2,4,3,1,1,0],
-			[3,6,0,0,0,0],
-			[3,6,0,1,0,1],
-			[3,6,3,0,2,1],
-			[3,0,0,0,0,0],
-			[3,0,1,0,0,0],
-			[3,0,2,0,0,0],
-			[3,0,2,2,1,0],
-			[3,0,2,2,0,0],
-			[3,3,0,0,2,0],
-			[3,3,0,1,2,0],
-			[3,3,0,2,2,1],
-			[3,3,2,0,2,1],
-			[3,3,3,0,0,1],
-			[3,1,0,0,2,0],
-			[3,1,0,2,2,0],
-			[3,1,2,0,2,1],
-			[3,1,2,0,0,1],
-			[3,1,2,1,1,0],
-			[3,1,3,0,0,1],
-			[3,1,3,1,2,1],
-			[3,1,3,1,0,0],
-			[3,5,0,2,0,0],
-			[3,5,0,2,0,1],
-			[3,5,2,2,1,0],
-			[3,5,3,2,2,0],
-			[3,5,3,2,2,1],
-			[3,5,3,2,1,0],
-			[3,2,0,0,1,1],
-			[3,2,0,0,0,1],
-			[3,2,0,1,1,0],
-			[3,2,0,2,2,1],
-			[3,2,1,0,2,1],
-			[3,2,1,2,2,0],
-			[3,2,1,2,0,1],
-			[3,2,2,0,2,1],
-			[3,4,0,0,1,0],
-			[3,4,0,1,0,1],
-			[3,4,1,0,2,1],
-			[4,6,0,0,0,0],
-			[4,6,0,2,2,0],
-			[4,6,1,0,2,1],
-			[4,6,1,0,0,1],
-			[4,6,1,2,0,0],
-			[4,6,3,0,0,1],
-			[4,0,0,2,1,0],
-			[4,0,3,2,2,0],
-			[4,3,0,0,2,0],
-			[4,3,0,2,2,1],
-			[4,1,0,2,1,0],
-			[4,1,1,0,0,0],
-			[4,1,1,2,1,0],
-			[4,1,2,0,2,0],
-			[4,1,2,0,2,1],
-			[4,1,2,2,0,0],
-			[4,5,0,2,0,1],
-			[4,5,1,2,0,1],
-			[4,5,2,2,0,0],
-			[4,5,3,1,0,0],
-			[4,2,0,2,2,0],
-			[4,2,1,2,1,0],
-			[4,4,0,0,1,0],
-			[4,4,0,1,2,1],
-			[4,4,0,1,0,0],
-			[4,4,0,2,2,0],
-			[4,4,2,0,0,0],
-			[4,4,3,0,0,1],
-			[4,4,3,2,1,0],
-			[4,4,3,2,0,0],
-			[5,6,1,0,2,1],
-			[5,6,2,0,0,0],
-			[5,6,2,2,2,0],
-			[5,6,3,1,1,0],
-			[5,0,1,2,2,0],
-			[5,0,2,1,2,0],
-			[5,3,1,0,0,1],
-			[5,3,2,2,2,1],
-			[5,3,3,0,2,1],
-			[5,3,3,1,1,0],
-			[5,3,3,1,0,1],
-			[5,1,1,0,0,1],
-			[5,1,2,1,2,0],
-			[5,1,3,0,1,1],
-			[5,5,0,1,1,0],
-			[5,5,0,1,0,0],
-			[5,5,0,2,1,1],
-			[5,5,0,2,0,0],
-			[5,5,1,0,1,0],
-			[5,5,2,0,1,0],
-			[5,5,2,0,0,1],
-			[5,5,2,2,1,1],
-			[5,5,3,1,0,0],
-			[5,2,1,1,0,1],
-			[5,2,2,1,0,0],
-			[5,2,3,2,1,0],
-			[5,4,0,2,2,1],
-			[5,4,1,1,2,1],
-			[5,4,1,1,0,0],
-			[5,4,2,1,2,1],
-			[5,4,3,1,2,1],
-			[0,0,1,0,0,0],
-			[0,0,2,0,0,0],
-			[0,5,1,1,1,0],
-			[0,5,1,1,0,1],
-			[0,2,1,2,0,0],
-			[0,4,0,0,1,0],
-			[0,4,0,1,0,1],
-			[0,4,1,1,0,1],
-			[0,4,1,2,0,1],
-			[1,6,0,0,1,0],
-			[1,6,0,2,0,1],
-			[1,6,1,2,1,1],
-			[1,6,2,2,2,1],
-			[1,6,2,2,1,0],
-			[1,0,1,2,0,0],
-			[1,0,3,2,0,1],
-			[1,3,1,0,0,0],
-			[1,3,1,0,0,1],
-			[1,3,1,1,2,0],
-			[1,1,0,0,1,0],
-			[1,1,2,1,2,0],
-			[1,1,2,1,2,1],
-			[1,1,2,2,0,0],
-			[1,1,3,1,0,0],
-			[1,5,0,2,0,0],
-			[1,5,1,2,2,0],
-			[1,5,1,2,1,1],
-			[1,5,2,1,2,0],
-			[1,5,2,1,2,1],
-			[1,5,3,0,1,1],
-			[1,2,0,0,2,1],
-			[1,2,0,2,0,1],
-			[1,2,1,0,2,1],
-			[1,2,1,1,1,0],
-			[1,2,1,1,1,1],
-			[1,2,2,0,2,1],
-			[1,2,2,1,2,0],
-			[1,2,2,1,1,0],
-			[1,2,3,0,1,1],
-			[1,2,3,1,1,0],
-			[1,2,3,1,1,1],
-			[1,2,3,2,1,1],
-			[1,4,1,0,1,0],
-			[1,4,1,2,2,1],
-			[1,4,2,1,1,0],
-			[2,6,0,0,0,0],
-			[2,6,1,0,1,1],
-			[2,6,1,2,2,1],
-			[2,6,3,2,1,0],
-			[2,0,0,0,2,1],
-			[2,0,0,2,2,0],
-			[2,0,1,1,1,0],
-			[2,0,2,0,2,0],
-			[2,0,3,0,0,0],
-			[2,0,3,1,2,0],
-			[2,3,0,1,2,0],
-			[2,3,0,1,1,1],
-			[2,3,0,1,0,1],
-			[2,3,0,2,1,1],
-			[2,3,1,0,0,0],
-			[2,3,1,0,0,1],
-			[2,3,1,2,1,0],
-			[2,3,2,1,2,1],
-			[2,3,2,2,2,1],
-			[2,1,0,0,2,0],
-			[2,1,1,0,2,0],
-			[2,1,1,0,2,1],
-			[2,1,2,0,2,0],
-			[2,1,2,1,1,0],
-			[2,5,0,1,2,1],
-			[2,5,0,2,2,0],
-			[2,5,1,0,2,1],
-			[2,5,3,0,1,0],
-			[2,5,3,1,2,0],
-			[2,5,3,1,1,0],
-			[2,5,3,2,2,0],
-			[2,5,3,2,1,1],
-			[2,5,3,2,0,1],
-			[2,2,0,0,1,0],
-			[2,2,0,0,0,1],
-			[2,2,0,1,2,1],
-			[2,2,0,2,0,0],
-			[2,2,1,1,2,1],
-			[2,2,1,2,0,1],
-			[2,2,2,0,2,1],
-			[2,2,2,2,2,0],
-			[2,2,2,2,1,0],
-			[2,2,3,0,2,1],
-			[2,4,0,0,2,0],
-			[2,4,0,0,2,1],
-			[2,4,0,0,1,1],
-			[2,4,0,1,2,1],
-			[2,4,0,1,0,0],
-			[2,4,0,2,1,1],
-			[2,4,0,2,0,0],
-			[2,4,1,2,1,0],
-			[2,4,2,0,2,1],
-			[2,4,2,1,2,1],
-			[2,4,2,2,1,0],
-			[2,4,3,0,1,0],
-			[2,4,3,2,2,0],
-			[3,6,0,0,1,0],
-			[3,6,0,2,2,0],
-			[3,6,1,0,2,1],
-			[3,6,3,2,2,1],
-			[3,6,3,2,1,0],
-			[3,0,0,2,2,0],
-			[3,0,0,2,1,0],
-			[3,0,3,0,2,1],
-			[3,0,3,0,0,0],
-			[3,0,3,1,1,0],
-			[3,0,3,2,2,0],
-			[3,3,0,1,1,0],
-			[3,3,0,2,2,0],
-			[3,3,1,0,2,1],
-			[3,3,1,0,0,1],
-			[3,1,0,2,1,0],
-			[3,1,0,2,0,0],
-			[3,1,2,0,1,0],
-			[3,1,2,0,0,0],
-			[3,1,3,0,1,1],
-			[3,1,3,1,2,0],
-			[3,1,3,1,1,0],
-			[3,1,3,2,0,1],
-			[3,5,0,2,2,1],
-			[3,5,0,2,1,0],
-			[3,5,1,2,2,1],
-			[3,5,3,1,0,0],
-			[3,2,1,2,1,0],
-			[3,2,1,2,0,0],
-			[3,4,0,0,0,1],
-			[3,4,0,2,2,0],
-			[3,4,0,2,0,1],
-			[3,4,1,2,1,0],
-			[3,4,2,0,2,1],
-			[3,4,3,0,2,0],
-			[4,6,0,0,1,0],
-			[4,6,0,0,1,1],
-			[4,6,0,1,0,0],
-			[4,6,0,1,0,1],
-			[4,6,0,2,1,0],
-			[4,6,3,0,2,1],
-			[4,0,0,0,1,0],
-			[4,0,1,0,1,0],
-			[4,0,1,0,0,0],
-			[4,0,1,2,1,0],
-			[4,0,2,2,0,0],
-			[4,0,3,0,1,0],
-			[4,0,3,2,1,0],
-			[4,3,0,0,1,0],
-			[4,3,0,0,1,1],
-			[4,3,0,2,1,0],
-			[4,3,1,0,2,1],
-			[4,3,2,0,0,1],
-			[4,1,0,0,2,1],
-			[4,1,2,2,0,1],
-			[4,1,3,2,2,1],
-			[4,5,3,0,1,0],
-			[4,5,3,2,1,0],
-			[4,5,3,2,1,1],
-			[4,5,3,2,0,0],
-			[4,2,0,0,0,1],
-			[4,2,0,2,1,0],
-			[4,2,1,2,0,0],
-			[4,2,1,2,0,1],
-			[4,4,0,0,2,1],
-			[4,4,0,0,0,0],
-			[4,4,2,1,0,0],
-			[5,6,0,0,2,1],
-			[5,6,0,0,1,1],
-			[5,6,0,1,0,0],
-			[5,6,0,2,1,1],
-			[5,6,1,2,1,1],
-			[5,6,2,0,2,1],
-			[5,6,2,1,0,1],
-			[5,6,3,0,1,0],
-			[5,6,3,1,0,1],
-			[5,6,3,2,1,1],
-			[5,0,0,2,2,0],
-			[5,0,1,0,1,0],
-			[5,0,1,0,0,1],
-			[5,0,1,1,1,0],
-			[5,0,2,1,0,1],
-			[5,0,2,2,2,0],
-			[5,0,2,2,2,1],
-			[5,0,3,0,2,0],
-			[5,0,3,0,0,1],
-			[5,0,3,1,2,1],
-			[5,3,0,2,2,0],
-			[5,3,0,2,2,1],
-			[5,3,1,1,1,0],
-			[5,3,1,1,0,0],
-			[5,3,1,2,2,1],
-			[5,3,2,0,2,1],
-			[5,3,2,0,1,0],
-			[5,3,2,1,1,0],
-			[5,3,2,1,0,0],
-			[5,3,2,2,1,0],
-			[5,3,3,0,1,0],
-			[5,3,3,0,0,0],
-			[5,3,3,1,0,0],
-			[5,3,3,2,0,0],
-			[5,1,0,0,2,1],
-			[5,1,0,0,1,0],
-			[5,1,0,0,0,1],
-			[5,1,0,1,0,0],
-			[5,1,0,1,0,1],
-			[5,1,1,0,1,0],
-			[5,1,1,1,0,0],
-			[5,1,1,1,0,1],
-			[5,5,1,1,1,0],
-			[5,5,1,1,0,0],
-			[5,5,1,1,0,1],
-			[5,5,1,2,1,1],
-			[5,5,2,0,2,1],
-			[5,5,2,2,2,1],
-			[5,5,3,0,2,1],
-			[5,2,0,1,0,1],
-			[5,2,0,2,2,1],
-			[5,2,1,0,0,1],
-			[5,2,1,1,1,0],
-			[5,2,1,1,0,0],
-			[5,2,2,2,2,1],
-			[5,2,2,2,1,0],
-			[5,2,3,1,0,0],
-			[5,4,0,0,2,1],
-			[5,4,1,1,1,0],
-			[5,4,3,1,2,0],
-			[0,6,0,1,0,0],
-			[0,6,1,1,1,0],
-			[0,6,2,1,2,0],
-			[0,6,2,2,0,1],
-			[0,0,0,1,1,1],
-			[0,0,0,2,0,0],
-			[0,0,1,0,1,1],
-			[0,0,1,2,0,1],
-			[0,0,2,1,0,0],
-			[0,3,0,0,0,1],
-			[0,3,1,0,0,1],
-			[0,3,1,1,1,0],
-			[0,3,1,1,0,0],
-			[0,3,2,0,0,1],
-			[0,3,2,1,0,1],
-			[0,3,2,2,0,0],
-			[0,3,2,2,0,1],
-			[0,1,0,1,1,1],
-			[0,1,0,1,0,0],
-			[0,1,0,2,0,1],
-			[0,1,1,1,1,1],
-			[0,1,1,2,0,0],
-			[0,1,1,2,0,1],
-			[0,5,0,0,1,1],
-			[0,5,0,1,2,1],
-			[0,5,0,1,1,1],
-			[0,5,1,1,2,1],
-			[0,5,1,2,0,0],
-			[0,5,1,2,0,1],
-			[0,5,2,0,2,1],
-			[0,2,0,1,2,1],
-			[0,2,1,0,2,1],
-			[0,2,1,1,2,1],
-			[0,2,1,1,1,1],
-			[0,2,1,2,0,1],
-			[0,2,3,2,0,0],
-			[0,4,0,2,0,0],
-			[0,4,0,2,0,1],
-			[0,4,1,0,1,0],
-			[0,4,2,1,0,0],
-			[0,4,2,1,0,1],
-			[1,6,0,1,2,0],
-			[1,6,1,2,2,0],
-			[1,6,1,2,2,1],
-			[1,6,2,0,2,1],
-			[1,6,2,0,1,1],
-			[1,6,2,2,2,0],
-			[1,6,3,0,1,0],
-			[1,6,3,1,1,0],
-			[1,6,3,1,1,1],
-			[1,6,3,2,2,0],
-			[1,0,0,0,0,0],
-			[1,0,1,0,2,1],
-			[1,0,1,1,2,0],
-			[1,0,1,1,1,0],
-			[1,0,2,1,2,0],
-			[1,0,2,2,1,0],
-			[1,0,2,2,0,0],
-			[1,0,3,1,0,0],
-			[1,3,0,1,0,0],
-			[1,3,0,1,0,1],
-			[1,3,0,2,1,1],
-			[1,3,0,2,0,1],
-			[1,3,1,0,2,0],
-			[1,3,1,0,1,1],
-			[1,3,1,1,2,1],
-			[1,3,1,1,1,1],
-			[1,3,1,2,2,0],
-			[1,3,2,0,2,0],
-			[1,3,2,0,1,0],
-			[1,3,2,0,1,1],
-			[1,3,2,1,2,0],
-			[1,3,2,1,2,1],
-			[1,3,2,1,1,1],
-			[1,3,2,2,2,1],
-			[1,3,3,0,1,1],
-			[1,3,3,1,1,1],
-			[1,3,3,2,1,0],
-			[1,1,1,0,2,1],
-			[1,1,1,2,2,0],
-			[1,1,2,0,1,0],
-			[1,1,2,2,1,1],
-			[1,1,3,0,0,0],
-			[1,1,3,2,1,1],
-			[1,1,3,2,0,1],
-			[1,5,0,0,2,1],
-			[1,5,0,1,2,1],
-			[1,5,0,2,2,0],
-			[1,5,1,0,2,1],
-			[1,5,2,0,1,0],
-			[1,5,2,1,1,0],
-			[1,5,2,2,2,0],
-			[1,5,2,2,2,1],
-			[1,5,2,2,1,0],
-			[1,5,3,1,0,0],
-			[1,5,3,2,0,0],
-			[1,5,3,2,0,1],
-			[1,2,0,0,1,0],
-			[1,2,0,2,1,0],
-			[1,2,1,0,2,0],
-			[1,2,1,2,1,0],
-			[1,2,2,1,2,1],
-			[1,4,0,1,2,0],
-			[1,4,0,1,1,0],
-			[1,4,0,1,1,1],
-			[1,4,0,2,2,1],
-			[1,4,0,2,1,0],
-			[1,4,0,2,1,1],
-			[1,4,0,2,0,0],
-			[1,4,0,2,0,1],
-			[1,4,1,2,2,0],
-			[1,4,2,2,2,0],
-			[1,4,2,2,1,0],
-			[1,4,3,0,1,0],
-			[1,4,3,1,2,0],
-			[1,4,3,2,1,1],
-			[2,6,0,0,2,0],
-			[2,6,0,0,0,1],
-			[2,6,0,2,2,0],
-			[2,6,0,2,1,1],
-			[2,6,0,2,0,1],
-			[2,6,3,0,2,1],
-			[2,6,3,1,2,1],
-			[2,6,3,2,2,1],
-			[2,0,0,0,0,0],
-			[2,0,0,1,0,0],
-			[2,0,1,0,1,0],
-			[2,0,1,2,2,0],
-			[2,0,2,1,1,0],
-			[2,0,2,2,1,0],
-			[2,0,3,1,2,1],
-			[2,0,3,2,2,1],
-			[2,0,3,2,1,0],
-			[2,3,0,1,1,0],
-			[2,3,0,1,0,0],
-			[2,3,0,2,0,0],
-			[2,3,1,0,1,1],
-			[2,3,2,0,2,0],
-			[2,3,2,2,2,0],
-			[2,3,2,2,1,0],
-			[2,3,3,2,2,1],
-			[2,1,0,0,1,0],
-			[2,1,0,2,2,0],
-			[2,1,0,2,1,0],
-			[2,1,0,2,0,0],
-			[2,1,1,2,1,0],
-			[2,1,2,0,2,1],
-			[2,1,2,2,1,0],
-			[2,1,3,0,2,0],
-			[2,1,3,0,1,1],
-			[2,1,3,0,0,0],
-			[2,1,3,1,2,1],
-			[2,5,0,0,1,1],
-			[2,5,0,2,2,1],
-			[2,5,1,2,2,1],
-			[2,5,1,2,1,0],
-			[2,5,2,2,1,1],
-			[2,5,3,0,1,1],
-			[2,5,3,2,2,1],
-			[2,2,0,0,2,1],
-			[2,2,0,0,1,1],
-			[2,2,1,0,2,1],
-			[2,2,1,2,2,1],
-			[2,2,2,2,2,1],
-			[2,4,0,0,0,1],
-			[2,4,1,0,2,1],
-			[2,4,3,2,2,1],
-			[3,6,0,0,2,0],
-			[3,6,0,2,2,1],
-			[3,6,0,2,0,0],
-			[3,0,0,0,2,0],
-			[3,0,0,1,1,0],
-			[3,0,0,2,0,0],
-			[3,0,3,0,2,0],
-			[3,0,3,0,1,0],
-			[3,0,3,1,2,0],
-			[3,0,3,2,1,0],
-			[3,3,0,0,1,0],
-			[3,3,0,0,1,1],
-			[3,3,0,0,0,1],
-			[3,3,0,1,2,1],
-			[3,3,0,1,0,0],
-			[3,3,0,1,0,1],
-			[3,3,0,2,0,1],
-			[3,3,2,0,0,1],
-			[3,1,3,0,2,1],
-			[3,1,3,0,1,0],
-			[3,1,3,0,0,0],
-			[3,1,3,2,0,0],
-			[3,5,2,0,2,1],
-			[3,5,3,0,2,1],
-			[3,2,0,0,2,1],
-			[3,2,0,2,0,0],
-			[3,2,0,2,0,1],
-			[3,4,0,1,1,0],
-			[3,4,0,2,2,1],
-			[3,4,0,2,1,0],
-			[3,4,0,2,0,0],
-			[3,4,1,0,0,1],
-			[3,4,2,2,1,0],
-			[4,6,0,2,2,1],
-			[4,0,0,0,0,0],
-			[4,0,0,1,0,0],
-			[4,0,2,0,0,0],
-			[4,0,2,2,1,0],
-			[4,0,3,0,2,0],
-			[4,0,3,0,0,0],
-			[4,0,3,1,1,0],
-			[4,3,0,0,2,1],
-			[4,3,0,1,2,1],
-			[4,3,0,1,1,0],
-			[4,3,0,1,0,0],
-			[4,3,0,1,0,1],
-			[4,3,0,2,0,1],
-			[4,3,1,0,0,0],
-			[4,1,0,2,0,0],
-			[4,1,1,2,0,0],
-			[4,1,2,0,0,1],
-			[4,1,2,2,2,0],
-			[4,1,3,0,2,0],
-			[4,1,3,0,2,1],
-			[4,1,3,0,0,0],
-			[4,1,3,0,0,1],
-			[4,1,3,1,1,0],
-			[4,1,3,1,0,0],
-			[4,1,3,2,2,0],
-			[4,1,3,2,1,0],
-			[4,5,3,0,0,1],
-			[4,5,3,1,1,0],
-			[4,2,0,0,0,0],
-			[4,2,0,1,0,1],
-			[4,2,0,2,0,0],
-			[4,2,0,2,0,1],
-			[4,4,0,1,1,0],
-			[4,4,0,1,0,1],
-			[4,4,0,2,1,0],
-			[4,4,0,2,0,0],
-			[4,4,2,0,0,1],
-			[4,4,2,2,0,0],
-			[5,6,0,0,1,0],
-			[5,6,0,1,0,1],
-			[5,6,0,2,2,0],
-			[5,6,0,2,0,0],
-			[5,6,1,1,2,1],
-			[5,6,1,1,0,1],
-			[5,6,1,2,1,0],
-			[5,6,2,0,0,1],
-			[5,6,2,2,2,1],
-			[5,6,3,0,0,0],
-			[5,6,3,1,0,0],
-			[5,0,0,1,1,0],
-			[5,0,0,2,1,0],
-			[5,0,0,2,0,1],
-			[5,0,1,2,0,1],
-			[5,0,2,0,1,0],
-			[5,0,2,1,0,0],
-			[5,0,3,1,0,1],
-			[5,0,3,2,2,1],
-			[5,0,3,2,0,1],
-			[5,3,0,0,2,0],
-			[5,3,0,0,1,0],
-			[5,3,0,1,2,0],
-			[5,3,0,1,2,1],
-			[5,3,0,2,1,0],
-			[5,3,0,2,0,1],
-			[5,3,1,0,1,0],
-			[5,3,1,0,0,0],
-			[5,3,1,1,0,1],
-			[5,3,1,2,2,0],
-			[5,3,1,2,1,0],
-			[5,3,1,2,0,0],
-			[5,3,1,2,0,1],
-			[5,3,2,0,0,1],
-			[5,3,2,1,0,1],
-			[5,3,2,2,0,1],
-			[5,3,3,0,0,1],
-			[5,1,0,0,0,0],
-			[5,1,0,2,2,0],
-			[5,1,0,2,1,0],
-			[5,1,0,2,0,1],
-			[5,1,1,1,1,0],
-			[5,1,2,0,2,0],
-			[5,1,2,0,2,1],
-			[5,1,2,1,0,0],
-			[5,1,2,2,2,0],
-			[5,1,2,2,2,1],
-			[5,1,3,0,2,1],
-			[5,1,3,1,2,0],
-			[5,1,3,1,2,1],
-			[5,1,3,1,0,1],
-			[5,1,3,2,1,1],
-			[5,5,0,0,0,0],
-			[5,5,0,2,2,1],
-			[5,5,0,2,0,1],
-			[5,5,1,0,0,1],
-			[5,5,1,2,2,1],
-			[5,5,1,2,1,0],
-			[5,5,1,2,0,0],
-			[5,5,2,1,1,0],
-			[5,5,2,1,0,0],
-			[5,5,2,2,2,0],
-			[5,5,2,2,1,0],
-			[5,5,2,2,0,0],
-			[5,5,3,0,0,0],
-			[5,5,3,1,2,0],
-			[5,5,3,1,1,1],
-			[5,5,3,2,1,1],
-			[5,2,0,0,0,0],
-			[5,2,0,1,1,0],
-			[5,2,0,1,0,0],
-			[5,2,0,2,0,1],
-			[5,2,1,0,0,0],
-			[5,2,2,1,1,0],
-			[5,2,2,2,0,0],
-			[5,2,2,2,0,1],
-			[5,4,0,0,0,0],
-			[5,4,0,1,2,1],
-			[5,4,1,0,0,0],
-			[5,4,1,0,0,1],
-			[5,4,1,2,1,0],
-			[5,4,1,2,0,0],
-			[5,4,2,0,0,0],
-			[5,4,3,0,0,1],
-			[5,4,3,1,0,0]
-		],
-		"cellFrequencies": [741,592,569,557,480,457,447,437,408,360,359,358,353,298,295,294,280,275,273,260,239,233,232,225,216,207,204,197,196,189,184,184,181,179,179,176,174,174,165,164,164,162,160,158,151,150,150,150,146,145,144,143,142,141,141,140,138,137,136,136,135,128,128,127,126,125,125,123,121,119,118,118,117,116,115,114,111,111,110,110,110,109,109,109,107,106,106,106,106,105,104,104,103,102,102,102,101,101,100,98,98,98,97,97,94,94,93,92,92,92,90,90,89,88,87,87,87,87,86,86,83,82,80,80,79,79,78,78,77,77,77,76,75,74,74,74,73,73,73,73,72,72,72,71,71,70,70,69,69,69,69,68,68,68,68,68,67,67,67,66,66,65,65,64,64,64,64,63,63,63,62,62,62,61,61,61,61,61,61,61,61,61,60,60,60,60,60,60,60,59,59,59,59,59,59,59,58,58,58,58,58,58,57,57,57,57,56,56,56,56,56,56,56,55,55,55,55,55,54,54,54,54,54,54,53,53,53,53,53,53,52,52,52,51,51,51,51,51,50,50,50,50,50,50,49,49,49,49,49,48,48,48,48,48,48,48,47,47,47,46,46,46,46,46,45,45,44,44,44,44,43,43,43,43,43,43,43,43,43,43,42,42,42,42,41,41,41,41,41,41,41,40,40,40,40,40,40,40,40,39,39,39,39,39,39,38,38,38,38,38,38,38,37,37,37,37,37,37,37,37,37,36,36,36,36,36,36,36,36,36,36,35,35,35,35,35,35,34,34,34,34,34,34,34,34,34,34,34,33,33,33,33,33,33,33,33,33,33,32,32,32,32,32,32,32,32,32,31,31,31,31,31,31,31,31,31,31,31,31,31,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,28,28,28,28,28,28,28,28,28,28,28,28,27,27,27,27,27,27,27,27,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops Coclustering",
+	"version": "VERSION",
+	"shortDescription": "",
+	"coclusteringReport": {
+		"summary": {
+			"instances": 48842,
+			"cells": 2218,
+			"nullCost": 1723780,
+			"cost": 1689150,
+			"level": 0.02008957059,
+			"initialDimensions": 9,
+			"frequencyVariable": "",
+			"dictionary": "Adult",
+			"database": "..\/..\/..\/datasets\/Adult\/Adult.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": ""
+		},
+		"dimensionSummaries": [
+			{
+				"name": "age",
+				"type": "Numerical",
+				"parts": 6,
+				"initialParts": 6,
+				"values": 48842,
+				"interest": 1,
+				"description": "",
+				"min": 17,
+				"max": 90
+			},
+			{
+				"name": "occupation",
+				"type": "Categorical",
+				"parts": 7,
+				"initialParts": 7,
+				"values": 14,
+				"interest": 1,
+				"description": ""
+			},
+			{
+				"name": "education_num",
+				"type": "Numerical",
+				"parts": 4,
+				"initialParts": 4,
+				"values": 48842,
+				"interest": 1,
+				"description": "",
+				"min": 1,
+				"max": 16
+			},
+			{
+				"name": "hours_per_week",
+				"type": "Numerical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 48842,
+				"interest": 1,
+				"description": "",
+				"min": 1,
+				"max": 99
+			},
+			{
+				"name": "marital_status",
+				"type": "Categorical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 7,
+				"interest": 1,
+				"description": ""
+			},
+			{
+				"name": "sex",
+				"type": "Categorical",
+				"parts": 2,
+				"initialParts": 2,
+				"values": 2,
+				"interest": 1,
+				"description": ""
+			}
+		],
+		"dimensionPartitions": [
+			{
+				"name": "age",
+				"type": "Numerical",
+				"intervals": [
+					{
+						"cluster": "]-inf;18.5]",
+						"bounds": [17,18.5]
+					},
+					{
+						"cluster": "]18.5;23.5]",
+						"bounds": [18.5,23.5]
+					},
+					{
+						"cluster": "]23.5;29.5]",
+						"bounds": [23.5,29.5]
+					},
+					{
+						"cluster": "]29.5;40.5]",
+						"bounds": [29.5,40.5]
+					},
+					{
+						"cluster": "]40.5;59.5]",
+						"bounds": [40.5,59.5]
+					},
+					{
+						"cluster": "]59.5;+inf[",
+						"bounds": [59.5,90]
+					}
+				]
+			},
+			{
+				"name": "occupation",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
+						"values": ["Craft-repair","Transport-moving","Farming-fishing","Protective-serv","Armed-Forces"],
+						"valueFrequencies": [6112,2355,1490,983,15],
+						"valueTypicalities": [1,0.573309,0.29446,0.106369,0.0033027]
+					},
+					{
+						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
+						"values": ["Machine-op-inspct","Handlers-cleaners"],
+						"valueFrequencies": [3022,2072],
+						"valueTypicalities": [1,0.798568]
+					},
+					{
+						"cluster": "{Prof-specialty}",
+						"values": ["Prof-specialty"],
+						"valueFrequencies": [8981],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Exec-managerial}",
+						"values": ["Exec-managerial"],
+						"valueFrequencies": [6086],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Sales}",
+						"values": ["Sales"],
+						"valueFrequencies": [5504],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Other-service, Priv-house-serv}",
+						"values": ["Other-service","Priv-house-serv"],
+						"valueFrequencies": [4923,242],
+						"valueTypicalities": [1,0.111602]
+					},
+					{
+						"cluster": "{Adm-clerical, Tech-support}",
+						"values": ["Adm-clerical","Tech-support"],
+						"valueFrequencies": [5611,1446],
+						"valueTypicalities": [1,0.187174]
+					}
+				],
+				"defaultGroupIndex": 6
+			},
+			{
+				"name": "education_num",
+				"type": "Numerical",
+				"intervals": [
+					{
+						"cluster": "]-inf;8.5]",
+						"bounds": [1,8.5]
+					},
+					{
+						"cluster": "]8.5;9.5]",
+						"bounds": [8.5,9.5]
+					},
+					{
+						"cluster": "]9.5;12.5]",
+						"bounds": [9.5,12.5]
+					},
+					{
+						"cluster": "]12.5;+inf[",
+						"bounds": [12.5,16]
+					}
+				]
+			},
+			{
+				"name": "hours_per_week",
+				"type": "Numerical",
+				"intervals": [
+					{
+						"cluster": "]-inf;36.5]",
+						"bounds": [1,36.5]
+					},
+					{
+						"cluster": "]36.5;43.5]",
+						"bounds": [36.5,43.5]
+					},
+					{
+						"cluster": "]43.5;+inf[",
+						"bounds": [43.5,99]
+					}
+				]
+			},
+			{
+				"name": "marital_status",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{Never-married, Married-AF-spouse}",
+						"values": ["Never-married","Married-AF-spouse"],
+						"valueFrequencies": [16117,37],
+						"valueTypicalities": [1,0.00173382]
+					},
+					{
+						"cluster": "{Married-civ-spouse}",
+						"values": ["Married-civ-spouse"],
+						"valueFrequencies": [22379],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Divorced, Widowed, Separated, ...}",
+						"values": ["Divorced","Widowed","Separated","Married-spouse-absent"],
+						"valueFrequencies": [6633,1518,1530,628],
+						"valueTypicalities": [1,0.443082,0.265394,0.0718638]
+					}
+				],
+				"defaultGroupIndex": 2
+			},
+			{
+				"name": "sex",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{Female}",
+						"values": ["Female"],
+						"valueFrequencies": [16192],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Male}",
+						"values": ["Male"],
+						"valueFrequencies": [32650],
+						"valueTypicalities": [1]
+					}
+				],
+				"defaultGroupIndex": 1
+			}
+		],
+		"dimensionHierarchies": [
+			{
+				"name": "age",
+				"type": "Numerical",
+				"clusters": [
+					{
+						"cluster": "]-inf;18.5]",
+						"parentCluster": "]-inf;23.5]",
+						"frequency": 1457,
+						"interest": 0.347768,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]18.5;23.5]",
+						"parentCluster": "]-inf;23.5]",
+						"frequency": 5769,
+						"interest": 0.883906,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]23.5;29.5]",
+						"parentCluster": "]-inf;29.5]",
+						"frequency": 7289,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]29.5;40.5]",
+						"parentCluster": "]29.5;59.5]",
+						"frequency": 14116,
+						"interest": 0.871164,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]40.5;59.5]",
+						"parentCluster": "]29.5;59.5]",
+						"frequency": 16156,
+						"interest": 0.848966,
+						"hierarchicalLevel": 1,
+						"rank": 9,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]59.5;+inf[",
+						"parentCluster": "]29.5;+inf[",
+						"frequency": 4055,
+						"interest": 0.441664,
+						"hierarchicalLevel": 1,
+						"rank": 11,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]-inf;23.5]",
+						"parentCluster": "]-inf;29.5]",
+						"frequency": 7226,
+						"interest": 0.775803,
+						"hierarchicalLevel": 0.974251,
+						"rank": 2,
+						"hierarchicalRank": 22,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]-inf;29.5]",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 14515,
+						"interest": 0.888388,
+						"hierarchicalLevel": 0.745479,
+						"rank": 4,
+						"hierarchicalRank": 14,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]-inf;+inf[",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 0.833282,
+						"hierarchicalLevel": -0.000287731,
+						"rank": 6,
+						"hierarchicalRank": 7,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]29.5;59.5]",
+						"parentCluster": "]29.5;+inf[",
+						"frequency": 30272,
+						"interest": 0.859317,
+						"hierarchicalLevel": 0.948553,
+						"rank": 8,
+						"hierarchicalRank": 20,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]29.5;+inf[",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 34327,
+						"interest": 0.80998,
+						"hierarchicalLevel": 0.850791,
+						"rank": 10,
+						"hierarchicalRank": 16,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "occupation",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
+						"parentCluster": "B18",
+						"frequency": 10955,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
+						"parentCluster": "B18",
+						"frequency": 5094,
+						"interest": 0.695825,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Prof-specialty}",
+						"parentCluster": "B12",
+						"frequency": 8981,
+						"interest": 0.864201,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Exec-managerial}",
+						"parentCluster": "B19",
+						"frequency": 6086,
+						"interest": 0.705213,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Sales}",
+						"parentCluster": "B19",
+						"frequency": 5504,
+						"interest": 0.534419,
+						"hierarchicalLevel": 1,
+						"rank": 9,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Other-service, Priv-house-serv}",
+						"parentCluster": "B14",
+						"frequency": 5165,
+						"interest": 0.723836,
+						"hierarchicalLevel": 1,
+						"rank": 11,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Adm-clerical, Tech-support}",
+						"parentCluster": "B14",
+						"frequency": 7057,
+						"interest": 0.715347,
+						"hierarchicalLevel": 1,
+						"rank": 13,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "B18",
+						"parentCluster": "B5",
+						"frequency": 16049,
+						"interest": 0.903454,
+						"hierarchicalLevel": 0.988438,
+						"rank": 2,
+						"hierarchicalRank": 23,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B5",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 0.783774,
+						"hierarchicalLevel": 0.383406,
+						"rank": 4,
+						"hierarchicalRank": 10,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B12",
+						"parentCluster": "B7",
+						"frequency": 20571,
+						"interest": 0.728927,
+						"hierarchicalLevel": 0.889146,
+						"rank": 6,
+						"hierarchicalRank": 17,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B19",
+						"parentCluster": "B12",
+						"frequency": 11590,
+						"interest": 0.624104,
+						"hierarchicalLevel": 0.994704,
+						"rank": 8,
+						"hierarchicalRank": 24,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B7",
+						"parentCluster": "B5",
+						"frequency": 32793,
+						"interest": 0.725202,
+						"hierarchicalLevel": 0.583172,
+						"rank": 10,
+						"hierarchicalRank": 12,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B14",
+						"parentCluster": "B7",
+						"frequency": 12222,
+						"interest": 0.718934,
+						"hierarchicalLevel": 0.93014,
+						"rank": 12,
+						"hierarchicalRank": 19,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "education_num",
+				"type": "Numerical",
+				"clusters": [
+					{
+						"cluster": "]-inf;8.5]",
+						"parentCluster": "]-inf;9.5]",
+						"frequency": 6408,
+						"interest": 0.330495,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]8.5;9.5]",
+						"parentCluster": "]-inf;9.5]",
+						"frequency": 15784,
+						"interest": 0.671555,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]9.5;12.5]",
+						"parentCluster": "]-inf;12.5]",
+						"frequency": 14540,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]12.5;+inf[",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 12110,
+						"interest": 0.65894,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]-inf;9.5]",
+						"parentCluster": "]-inf;12.5]",
+						"frequency": 22192,
+						"interest": 0.573073,
+						"hierarchicalLevel": 0.964171,
+						"rank": 2,
+						"hierarchicalRank": 21,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]-inf;12.5]",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 36732,
+						"interest": 0.742068,
+						"hierarchicalLevel": 0.911382,
+						"rank": 4,
+						"hierarchicalRank": 18,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]-inf;+inf[",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 0.721457,
+						"hierarchicalLevel": 0.474326,
+						"rank": 6,
+						"hierarchicalRank": 11,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "hours_per_week",
+				"type": "Numerical",
+				"clusters": [
+					{
+						"cluster": "]-inf;36.5]",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 10668,
+						"interest": 0.604579,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]36.5;43.5]",
+						"parentCluster": "]36.5;+inf[",
+						"frequency": 24446,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]43.5;+inf[",
+						"parentCluster": "]36.5;+inf[",
+						"frequency": 13728,
+						"interest": 0.395421,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]-inf;+inf[",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 0.743704,
+						"hierarchicalLevel": 0.664957,
+						"rank": 2,
+						"hierarchicalRank": 13,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]36.5;+inf[",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 38174,
+						"interest": 0.782583,
+						"hierarchicalLevel": 0.808675,
+						"rank": 4,
+						"hierarchicalRank": 15,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "marital_status",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{Never-married, Married-AF-spouse}",
+						"parentCluster": "E1",
+						"frequency": 16154,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Married-civ-spouse}",
+						"parentCluster": "E4",
+						"frequency": 22379,
+						"interest": 0.936208,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Divorced, Widowed, Separated, ...}",
+						"parentCluster": "E4",
+						"frequency": 10309,
+						"interest": 0.730455,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "E1",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 0.913879,
+						"hierarchicalLevel": 0,
+						"rank": 2,
+						"hierarchicalRank": 6,
+						"isLeaf": false
+					},
+					{
+						"cluster": "E4",
+						"parentCluster": "E1",
+						"frequency": 32688,
+						"interest": 0.871319,
+						"hierarchicalLevel": 0.248722,
+						"rank": 4,
+						"hierarchicalRank": 9,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "sex",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{Female}",
+						"parentCluster": "F3",
+						"frequency": 16192,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Male}",
+						"parentCluster": "F3",
+						"frequency": 32650,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 25,
+						"isLeaf": true
+					},
+					{
+						"cluster": "F3",
+						"parentCluster": "",
+						"frequency": 48842,
+						"interest": 1,
+						"hierarchicalLevel": 0.227766,
+						"rank": 2,
+						"hierarchicalRank": 8,
+						"isLeaf": false
+					}
+				]
+			}
+		],
+		"cellPartIndexes": [
+			[4,0,1,1,1,1],
+			[3,0,1,1,1,1],
+			[4,2,3,2,1,1],
+			[4,3,3,2,1,1],
+			[4,0,1,2,1,1],
+			[4,0,2,1,1,1],
+			[4,2,3,1,1,1],
+			[3,0,1,2,1,1],
+			[3,2,3,2,1,1],
+			[4,3,3,1,1,1],
+			[3,0,2,1,1,1],
+			[4,0,2,2,1,1],
+			[3,3,3,2,1,1],
+			[4,0,0,1,1,1],
+			[3,0,2,2,1,1],
+			[3,2,3,1,1,1],
+			[4,1,1,1,1,1],
+			[3,1,1,1,1,1],
+			[4,6,1,1,2,0],
+			[4,6,2,1,2,0],
+			[1,6,2,0,0,0],
+			[4,3,2,2,1,1],
+			[1,5,2,0,0,0],
+			[4,4,3,2,1,1],
+			[1,2,2,0,0,0],
+			[3,0,0,1,1,1],
+			[2,0,1,1,1,1],
+			[1,4,2,0,0,0],
+			[4,4,2,2,1,1],
+			[2,0,1,1,0,1],
+			[3,4,3,2,1,1],
+			[4,0,1,1,2,1],
+			[3,6,2,1,2,0],
+			[3,0,1,1,0,1],
+			[4,3,2,1,1,1],
+			[4,6,2,1,1,1],
+			[2,6,2,1,0,0],
+			[3,3,3,1,1,1],
+			[1,0,1,1,0,1],
+			[3,3,2,2,1,1],
+			[4,1,0,1,1,1],
+			[0,5,0,0,0,1],
+			[4,4,1,2,1,1],
+			[1,1,1,1,0,1],
+			[0,4,0,0,0,0],
+			[2,2,3,1,0,0],
+			[3,0,1,1,2,1],
+			[4,2,3,1,2,0],
+			[3,4,2,2,1,1],
+			[4,0,0,2,1,1],
+			[1,6,2,1,0,0],
+			[3,6,1,1,2,0],
+			[1,5,2,0,0,1],
+			[1,2,2,0,0,1],
+			[4,3,1,2,1,1],
+			[3,6,2,1,1,1],
+			[0,5,0,0,0,0],
+			[5,2,3,0,1,1],
+			[4,0,3,2,1,1],
+			[4,4,3,1,1,1],
+			[3,6,2,1,0,0],
+			[3,1,2,1,1,1],
+			[4,6,1,1,1,1],
+			[4,6,3,1,1,1],
+			[2,1,1,1,0,1],
+			[2,0,1,2,1,1],
+			[4,2,2,1,1,1],
+			[3,3,1,2,1,1],
+			[3,2,3,1,0,0],
+			[3,4,1,2,1,1],
+			[1,2,2,1,0,1],
+			[4,3,1,1,1,1],
+			[4,5,1,1,2,0],
+			[4,4,2,1,1,1],
+			[3,0,2,1,0,1],
+			[3,0,1,2,2,1],
+			[2,2,3,1,0,1],
+			[3,1,0,1,1,1],
+			[2,0,2,1,0,1],
+			[5,0,0,1,1,1],
+			[5,0,1,1,1,1],
+			[3,0,0,2,1,1],
+			[3,0,1,2,0,1],
+			[3,1,1,1,0,1],
+			[4,0,3,1,1,1],
+			[1,0,2,1,0,1],
+			[2,0,2,1,1,1],
+			[3,2,3,1,0,1],
+			[3,2,3,2,0,1],
+			[2,1,1,1,1,1],
+			[1,6,1,1,0,0],
+			[2,6,3,1,0,0],
+			[1,6,2,0,0,1],
+			[2,6,1,1,0,0],
+			[2,0,2,2,1,1],
+			[2,2,3,2,0,1],
+			[4,2,3,2,2,0],
+			[4,4,1,1,1,1],
+			[4,5,1,0,2,0],
+			[3,4,3,1,1,1],
+			[4,0,2,1,2,1],
+			[4,2,3,0,1,1],
+			[1,2,2,1,0,0],
+			[3,1,1,2,1,1],
+			[3,6,1,1,0,0],
+			[4,0,1,2,2,1],
+			[5,2,3,2,1,1],
+			[0,1,0,0,0,1],
+			[4,1,2,1,1,1],
+			[5,2,3,1,1,1],
+			[1,1,2,0,0,1],
+			[3,6,3,1,1,1],
+			[3,6,1,1,1,1],
+			[3,3,2,1,1,1],
+			[1,5,1,0,0,0],
+			[1,4,2,0,0,1],
+			[4,5,1,1,1,1],
+			[5,2,1,0,1,1],
+			[3,0,3,2,1,1],
+			[4,2,2,1,2,0],
+			[3,3,1,1,1,1],
+			[3,2,3,2,0,0],
+			[4,3,2,1,2,0],
+			[4,5,0,1,2,0],
+			[4,3,3,2,2,1],
+			[5,0,1,0,1,1],
+			[2,0,1,2,0,1],
+			[4,1,1,1,2,0],
+			[1,1,2,1,0,1],
+			[3,1,1,1,2,1],
+			[3,5,1,1,2,0],
+			[4,1,1,2,1,1],
+			[3,0,3,1,1,1],
+			[3,5,1,0,2,0],
+			[3,2,2,1,1,1],
+			[4,0,1,0,1,1],
+			[1,0,2,0,0,1],
+			[1,4,1,0,0,0],
+			[3,4,2,1,1,1],
+			[4,2,2,2,1,1],
+			[1,5,1,0,0,1],
+			[3,0,2,1,2,1],
+			[4,2,3,2,2,1],
+			[4,6,1,1,1,0],
+			[4,2,1,1,1,1],
+			[2,0,0,1,0,1],
+			[3,3,2,1,2,0],
+			[0,2,0,0,0,0],
+			[0,2,0,0,0,1],
+			[2,2,3,0,0,1],
+			[4,2,3,1,0,0],
+			[2,2,3,2,0,0],
+			[3,0,1,0,1,1],
+			[3,2,3,0,1,0],
+			[4,0,0,1,2,1],
+			[4,3,1,1,2,0],
+			[1,1,1,0,0,1],
+			[1,5,1,1,0,0],
+			[4,3,3,1,2,0],
+			[2,0,0,1,1,1],
+			[2,1,2,1,0,1],
+			[2,6,3,1,0,1],
+			[3,5,1,1,1,1],
+			[1,5,1,1,0,1],
+			[2,3,3,1,0,0],
+			[3,2,3,1,2,0],
+			[5,0,1,2,1,1],
+			[2,0,2,2,0,1],
+			[4,2,3,0,2,0],
+			[5,2,1,0,2,0],
+			[3,6,2,2,1,1],
+			[4,3,3,2,2,0],
+			[4,4,1,1,2,0],
+			[1,1,0,1,0,1],
+			[2,2,3,1,1,1],
+			[3,6,3,1,0,0],
+			[3,4,1,1,1,1],
+			[4,6,1,0,2,0],
+			[4,6,2,0,2,0],
+			[5,6,1,0,2,0],
+			[5,5,0,0,2,0],
+			[5,2,1,1,1,1],
+			[3,3,3,1,0,0],
+			[4,1,1,1,2,1],
+			[4,2,3,1,2,1],
+			[4,2,3,2,0,0],
+			[5,5,1,0,2,0],
+			[5,2,0,0,1,1],
+			[5,2,2,0,1,1],
+			[1,0,1,0,0,1],
+			[3,5,1,1,0,0],
+			[3,5,1,1,0,1],
+			[4,6,1,1,0,0],
+			[4,6,2,2,1,1],
+			[4,5,0,1,1,1],
+			[5,0,0,0,1,1],
+			[1,6,2,1,0,1],
+			[2,6,2,1,0,1],
+			[2,2,3,2,1,1],
+			[3,3,3,1,0,1],
+			[3,3,3,2,0,1],
+			[4,2,3,1,1,0],
+			[2,6,1,1,0,1],
+			[3,0,0,1,0,1],
+			[4,1,0,1,2,0],
+			[5,3,3,2,1,1],
+			[2,4,3,2,0,1],
+			[3,3,3,2,0,0],
+			[3,1,2,2,1,1],
+			[4,3,2,2,2,0],
+			[4,5,0,0,2,0],
+			[4,2,3,1,0,1],
+			[5,3,3,1,1,1],
+			[1,5,2,1,0,0],
+			[2,1,0,1,0,1],
+			[3,0,2,2,0,1],
+			[3,2,3,1,1,0],
+			[4,6,3,2,1,1],
+			[2,6,2,1,2,0],
+			[3,6,2,1,0,1],
+			[3,6,3,2,1,1],
+			[3,0,0,1,2,1],
+			[3,0,2,2,2,1],
+			[3,1,1,1,2,0],
+			[2,3,3,1,0,1],
+			[2,2,3,0,0,0],
+			[3,2,2,2,1,1],
+			[4,6,2,1,1,0],
+			[4,6,3,1,2,0],
+			[5,6,1,1,2,0],
+			[0,4,0,0,0,1],
+			[2,1,0,1,1,1],
+			[3,6,2,1,1,0],
+			[1,6,1,0,0,0],
+			[1,0,0,0,0,1],
+			[2,4,3,1,0,1],
+			[4,0,1,1,2,0],
+			[5,0,0,2,1,1],
+			[2,3,3,2,0,1],
+			[2,1,1,2,1,1],
+			[3,2,2,1,2,0],
+			[4,6,2,1,2,1],
+			[4,6,2,2,2,0],
+			[4,2,3,2,0,1],
+			[2,6,2,1,1,1],
+			[2,1,1,1,0,0],
+			[2,1,2,1,1,1],
+			[3,6,1,1,1,0],
+			[4,2,3,0,1,0],
+			[1,0,1,2,0,1],
+			[2,5,1,1,0,1],
+			[3,4,3,2,0,1],
+			[4,6,1,2,1,1],
+			[4,0,2,0,1,1],
+			[4,3,3,1,2,1],
+			[4,2,1,1,2,0],
+			[3,6,3,1,0,1],
+			[3,2,3,2,1,0],
+			[4,2,3,2,1,0],
+			[1,0,0,1,0,1],
+			[2,6,2,0,0,0],
+			[3,5,2,1,2,0],
+			[3,2,3,0,1,1],
+			[4,0,1,1,0,1],
+			[2,5,1,1,0,0],
+			[4,5,2,1,2,0],
+			[1,4,2,1,0,1],
+			[2,4,3,1,0,0],
+			[3,6,2,2,2,0],
+			[4,6,2,1,0,0],
+			[0,6,0,0,0,0],
+			[1,5,2,1,0,1],
+			[2,0,1,1,2,1],
+			[2,3,3,2,1,1],
+			[2,5,1,0,0,0],
+			[3,6,1,1,0,1],
+			[3,6,2,0,2,0],
+			[3,1,1,1,0,0],
+			[3,5,1,0,0,0],
+			[4,0,2,2,2,1],
+			[0,0,0,0,0,1],
+			[3,2,3,2,2,0],
+			[3,4,2,1,2,0],
+			[4,0,0,0,1,1],
+			[1,6,1,1,0,1],
+			[1,4,2,1,0,0],
+			[2,5,2,0,0,0],
+			[3,1,2,1,2,1],
+			[4,5,2,0,2,0],
+			[4,4,1,0,2,0],
+			[5,2,3,0,2,0],
+			[1,4,1,1,0,1],
+			[2,4,2,1,0,0],
+			[2,4,2,1,0,1],
+			[2,4,2,2,0,1],
+			[4,4,2,1,2,0],
+			[4,4,2,2,2,1],
+			[4,4,3,2,2,1],
+			[5,6,2,1,2,0],
+			[1,2,2,2,0,1],
+			[2,6,2,1,1,0],
+			[3,5,2,1,1,1],
+			[4,3,2,2,2,1],
+			[4,1,0,2,1,1],
+			[5,0,2,1,1,1],
+			[1,1,1,2,0,1],
+			[1,2,3,0,0,0],
+			[3,6,1,2,1,1],
+			[3,2,1,1,1,1],
+			[4,1,2,1,2,1],
+			[5,2,0,1,1,1],
+			[5,2,2,0,2,0],
+			[1,0,2,2,0,1],
+			[2,5,2,1,0,0],
+			[2,5,2,1,0,1],
+			[2,4,3,2,1,1],
+			[3,1,0,1,0,1],
+			[3,5,2,0,2,0],
+			[4,1,0,1,2,1],
+			[4,2,1,2,1,1],
+			[4,2,2,0,2,0],
+			[1,6,3,1,0,0],
+			[1,0,1,1,1,1],
+			[1,2,1,1,0,1],
+			[1,2,3,1,0,0],
+			[2,0,0,2,1,1],
+			[2,3,3,1,1,1],
+			[2,1,1,2,0,1],
+			[2,2,2,1,0,0],
+			[3,5,0,1,1,1],
+			[5,3,2,1,1,1],
+			[1,2,1,0,0,0],
+			[2,2,2,1,0,1],
+			[3,6,1,0,2,0],
+			[3,3,3,2,2,1],
+			[3,2,3,0,0,0],
+			[4,1,3,1,1,1],
+			[1,4,1,1,0,0],
+			[2,3,2,1,0,0],
+			[2,3,3,2,0,0],
+			[2,4,1,1,0,1],
+			[3,1,1,2,0,1],
+			[3,5,0,1,2,0],
+			[3,2,2,1,0,0],
+			[4,0,2,1,0,1],
+			[5,6,2,0,2,0],
+			[5,1,0,1,1,1],
+			[5,1,1,1,1,1],
+			[1,1,0,0,0,1],
+			[2,6,3,0,0,0],
+			[2,0,1,0,0,1],
+			[3,0,1,1,2,0],
+			[3,3,2,1,0,0],
+			[3,4,2,2,0,1],
+			[4,6,1,1,2,1],
+			[4,6,1,2,2,0],
+			[4,3,1,2,2,0],
+			[4,1,2,2,1,1],
+			[1,1,1,1,0,0],
+			[1,5,0,0,0,1],
+			[3,0,0,0,1,1],
+			[3,2,1,1,2,0],
+			[4,6,3,1,2,1],
+			[4,3,3,0,1,1],
+			[4,5,1,1,0,0],
+			[4,5,2,1,1,1],
+			[5,0,2,0,1,1],
+			[0,4,1,0,0,0],
+			[2,6,1,1,2,0],
+			[2,1,1,0,0,1],
+			[2,5,1,0,0,1],
+			[2,4,2,0,0,1],
+			[3,6,2,0,1,0],
+			[3,6,2,0,0,0],
+			[3,3,3,1,2,0],
+			[3,3,3,1,1,0],
+			[3,2,2,1,0,1],
+			[3,4,3,1,0,1],
+			[4,1,2,1,2,0],
+			[4,5,1,2,1,1],
+			[1,2,1,1,0,0],
+			[2,6,1,1,1,1],
+			[2,6,2,2,0,0],
+			[2,0,3,1,0,1],
+			[2,3,2,2,1,1],
+			[2,4,1,2,1,1],
+			[3,6,2,2,0,0],
+			[3,3,1,1,2,0],
+			[3,1,2,1,0,1],
+			[3,5,1,2,1,1],
+			[3,5,2,1,0,0],
+			[3,2,3,1,2,1],
+			[3,4,3,1,0,0],
+			[4,3,0,2,1,1],
+			[4,5,1,0,1,0],
+			[5,3,3,0,1,1],
+			[5,5,0,1,2,0],
+			[5,4,1,2,1,1],
+			[5,4,2,1,1,1],
+			[0,2,0,1,0,1],
+			[1,2,3,1,0,1],
+			[2,4,2,1,1,1],
+			[2,4,2,2,1,1],
+			[3,3,2,2,2,1],
+			[3,2,2,0,1,0],
+			[4,0,0,2,2,1],
+			[4,0,1,2,0,1],
+			[4,1,1,1,0,1],
+			[4,2,2,0,1,1],
+			[4,4,2,2,2,0],
+			[5,3,1,1,1,1],
+			[5,2,2,1,1,1],
+			[5,4,1,0,2,0],
+			[5,4,1,0,1,1],
+			[5,4,2,0,1,1],
+			[5,4,3,0,1,1],
+			[0,4,2,0,0,0],
+			[1,6,3,0,0,0],
+			[1,4,1,2,0,1],
+			[2,6,3,0,0,1],
+			[3,6,1,1,2,1],
+			[3,0,0,2,0,1],
+			[3,1,0,1,2,1],
+			[3,5,0,0,2,0],
+			[3,5,1,1,2,1],
+			[4,6,1,0,1,0],
+			[4,5,1,1,2,1],
+			[5,2,0,0,2,0],
+			[2,3,2,1,0,1],
+			[3,6,1,0,1,0],
+			[3,6,2,1,2,1],
+			[3,0,2,1,2,0],
+			[4,6,2,0,1,0],
+			[4,2,2,0,1,0],
+			[5,0,2,2,1,1],
+			[5,4,3,1,1,1],
+			[1,2,1,0,0,1],
+			[2,1,1,1,2,1],
+			[3,0,1,0,0,1],
+			[3,0,2,0,1,1],
+			[3,3,2,1,1,0],
+			[3,3,3,2,2,0],
+			[3,1,0,1,2,0],
+			[3,1,0,2,1,1],
+			[3,5,1,2,2,0],
+			[3,2,1,2,1,1],
+			[3,4,1,1,2,0],
+			[3,4,2,2,2,1],
+			[4,3,3,2,0,0],
+			[4,1,1,1,1,0],
+			[5,3,2,0,1,1],
+			[5,5,1,1,1,1],
+			[5,2,3,1,2,0],
+			[0,5,1,0,0,0],
+			[1,0,0,2,0,1],
+			[1,3,2,1,0,1],
+			[2,6,2,0,0,1],
+			[2,0,0,2,0,1],
+			[2,5,2,0,0,1],
+			[2,4,1,1,1,1],
+			[2,4,3,1,1,1],
+			[3,2,2,1,1,0],
+			[4,3,1,2,2,1],
+			[4,3,3,1,0,1],
+			[4,5,2,2,1,1],
+			[4,2,1,0,1,1],
+			[4,4,0,2,1,1],
+			[5,6,1,1,1,1],
+			[5,4,1,1,1,1],
+			[5,4,3,2,1,1],
+			[1,6,1,0,0,1],
+			[1,1,1,1,1,1],
+			[1,5,0,1,0,1],
+			[2,6,1,1,1,0],
+			[2,0,1,2,2,1],
+			[2,1,2,2,0,1],
+			[2,5,0,1,0,0],
+			[2,2,1,1,0,1],
+			[2,4,2,0,0,0],
+			[3,0,0,2,2,1],
+			[3,3,2,2,0,1],
+			[3,5,1,0,0,1],
+			[3,5,2,1,0,1],
+			[3,2,3,0,0,1],
+			[4,6,0,1,2,0],
+			[4,6,3,1,1,0],
+			[4,3,2,1,2,1],
+			[4,4,1,2,2,0],
+			[5,3,1,0,1,1],
+			[5,5,0,0,1,1],
+			[5,5,1,0,1,1],
+			[1,5,0,0,0,0],
+			[2,6,3,2,0,1],
+			[3,6,1,2,2,0],
+			[3,6,3,1,2,0],
+			[3,3,2,1,0,1],
+			[3,3,2,2,2,0],
+			[3,2,2,0,2,0],
+			[3,2,3,0,2,0],
+			[3,2,3,2,2,1],
+			[3,4,1,1,0,0],
+			[3,4,1,2,2,1],
+			[4,6,1,1,0,1],
+			[4,2,3,0,2,1],
+			[4,4,1,1,1,0],
+			[4,4,2,0,2,0],
+			[1,3,2,0,0,0],
+			[1,1,0,1,1,1],
+			[2,3,1,1,0,0],
+			[2,3,2,2,0,1],
+			[2,1,2,0,0,1],
+			[2,2,1,1,0,0],
+			[2,2,3,1,1,0],
+			[3,6,3,1,1,0],
+			[3,5,2,0,1,0],
+			[3,2,2,0,0,0],
+			[4,6,3,1,0,0],
+			[4,0,1,0,2,1],
+			[4,3,3,1,1,0],
+			[4,1,0,1,0,1],
+			[4,4,1,0,1,1],
+			[4,4,3,2,2,0],
+			[5,0,3,0,1,1],
+			[5,3,1,2,1,1],
+			[0,1,0,1,0,1],
+			[0,5,2,0,0,0],
+			[0,5,2,0,0,1],
+			[0,2,1,0,0,0],
+			[1,0,2,1,1,1],
+			[1,3,2,1,0,0],
+			[1,1,2,0,0,0],
+			[1,5,1,2,0,0],
+			[1,4,1,0,0,1],
+			[2,6,3,2,0,0],
+			[2,3,1,2,1,1],
+			[2,3,2,1,1,1],
+			[2,5,1,1,1,1],
+			[2,2,2,1,1,1],
+			[2,4,3,2,0,0],
+			[3,6,1,0,0,0],
+			[3,3,1,2,0,1],
+			[3,5,1,0,1,0],
+			[3,5,2,0,0,0],
+			[3,4,2,1,2,1],
+			[3,4,2,1,0,0],
+			[3,4,2,1,0,1],
+			[4,6,0,1,1,1],
+			[4,0,3,1,2,1],
+			[4,3,3,1,0,0],
+			[4,3,3,2,0,1],
+			[4,1,1,2,2,0],
+			[4,5,1,1,0,1],
+			[4,2,0,1,1,1],
+			[4,2,1,0,2,0],
+			[4,2,1,1,2,1],
+			[4,2,2,1,2,1],
+			[4,2,2,1,1,0],
+			[4,2,2,2,2,0],
+			[5,6,2,1,1,1],
+			[5,5,1,1,2,0],
+			[5,2,1,1,2,0],
+			[0,0,0,1,0,1],
+			[0,2,2,0,0,0],
+			[1,3,3,1,0,1],
+			[1,2,0,1,0,1],
+			[2,5,1,0,2,0],
+			[2,2,2,0,0,0],
+			[3,0,3,1,0,1],
+			[3,5,0,1,0,0],
+			[3,5,1,1,1,0],
+			[3,4,3,2,0,0],
+			[4,6,2,1,0,1],
+			[4,0,3,2,2,1],
+			[4,3,1,0,1,1],
+			[4,1,0,1,0,0],
+			[4,5,1,1,1,0],
+			[4,5,1,2,2,0],
+			[5,3,2,2,1,1],
+			[0,6,1,0,0,0],
+			[1,6,2,2,0,1],
+			[1,5,0,1,0,0],
+			[1,4,0,0,0,0],
+			[2,6,1,2,0,1],
+			[2,6,3,1,1,1],
+			[2,1,0,1,0,0],
+			[3,6,3,0,1,0],
+			[3,0,2,1,0,0],
+			[3,0,3,2,2,1],
+			[3,3,2,2,1,0],
+			[3,1,1,2,2,1],
+			[3,5,0,0,0,0],
+			[3,5,2,0,0,1],
+			[4,0,0,1,0,1],
+			[4,0,2,2,0,1],
+			[4,0,3,0,1,1],
+			[4,3,1,1,1,0],
+			[4,3,2,1,0,0],
+			[4,1,1,2,2,1],
+			[4,2,2,2,2,1],
+			[4,4,3,2,0,1],
+			[5,1,0,1,2,0],
+			[5,5,2,0,2,0],
+			[5,2,0,0,2,1],
+			[1,0,2,0,0,0],
+			[1,2,3,0,0,1],
+			[2,6,1,0,0,0],
+			[2,0,2,0,0,1],
+			[2,0,3,2,1,1],
+			[2,2,3,0,1,0],
+			[2,4,1,1,0,0],
+			[3,6,3,2,0,0],
+			[3,6,3,2,0,1],
+			[3,3,1,2,2,1],
+			[3,1,1,1,1,0],
+			[3,5,0,1,0,1],
+			[3,5,2,2,2,0],
+			[3,4,1,0,2,0],
+			[3,4,3,2,2,1],
+			[4,0,0,1,2,0],
+			[4,3,1,1,2,1],
+			[4,3,2,1,1,0],
+			[4,3,3,2,1,0],
+			[4,5,0,0,1,0],
+			[4,2,3,0,0,1],
+			[4,4,0,1,1,1],
+			[4,4,1,2,2,1],
+			[4,4,3,1,2,1],
+			[5,3,2,1,2,0],
+			[5,2,1,2,1,1],
+			[5,2,2,1,2,0],
+			[5,4,2,2,1,1],
+			[0,5,1,0,0,1],
+			[1,0,2,1,0,0],
+			[1,3,3,1,0,0],
+			[1,1,1,0,0,0],
+			[1,1,2,1,0,0],
+			[1,5,2,2,0,1],
+			[1,2,0,0,0,0],
+			[1,4,2,2,0,1],
+			[2,6,2,2,1,1],
+			[2,6,2,2,0,1],
+			[2,3,1,1,1,1],
+			[2,1,1,1,2,0],
+			[2,1,2,2,1,1],
+			[2,5,0,1,0,1],
+			[2,5,1,1,2,0],
+			[3,0,0,0,2,1],
+			[3,3,2,1,2,1],
+			[3,3,2,2,0,0],
+			[3,3,3,1,2,1],
+			[3,1,2,1,2,0],
+			[3,1,3,1,1,1],
+			[3,2,1,0,2,0],
+			[3,2,2,1,2,1],
+			[3,4,2,0,2,0],
+			[4,6,1,0,1,1],
+			[4,6,3,1,0,1],
+			[4,3,0,1,1,1],
+			[4,1,1,0,1,1],
+			[4,1,1,1,0,0],
+			[4,5,0,0,1,1],
+			[4,2,3,0,0,0],
+			[4,4,2,0,1,1],
+			[4,4,3,1,2,0],
+			[5,6,2,0,1,1],
+			[5,0,0,0,2,1],
+			[0,1,1,0,0,1],
+			[2,0,3,2,0,1],
+			[2,3,3,1,1,0],
+			[2,5,2,0,2,0],
+			[2,2,1,1,2,0],
+			[2,2,2,0,0,1],
+			[2,2,3,0,1,1],
+			[2,4,1,2,0,1],
+			[3,6,1,2,0,0],
+			[3,6,1,2,0,1],
+			[3,3,1,1,2,1],
+			[3,3,3,2,1,0],
+			[3,2,1,1,0,1],
+			[3,2,2,0,1,1],
+			[3,4,1,0,0,0],
+			[3,4,1,1,0,1],
+			[3,4,2,1,1,0],
+			[4,6,3,0,2,0],
+			[4,6,3,0,1,1],
+			[4,0,2,0,2,1],
+			[4,0,2,1,2,0],
+			[4,3,2,2,1,0],
+			[4,3,3,0,1,0],
+			[4,5,0,1,0,0],
+			[4,5,3,1,1,1],
+			[4,2,1,1,1,0],
+			[4,4,3,0,1,1],
+			[5,2,3,2,2,1],
+			[5,4,2,0,2,0],
+			[1,0,0,1,1,1],
+			[1,3,2,0,0,1],
+			[1,1,2,2,0,1],
+			[2,6,1,2,0,0],
+			[2,6,2,0,2,0],
+			[2,0,0,0,1,1],
+			[2,0,3,1,1,1],
+			[2,3,1,1,2,0],
+			[2,3,1,1,0,1],
+			[2,1,3,1,0,1],
+			[2,5,2,1,1,1],
+			[2,2,2,0,2,0],
+			[2,2,2,1,1,0],
+			[2,4,3,0,0,0],
+			[3,0,1,1,0,0],
+			[3,3,1,1,1,0],
+			[3,3,1,1,0,0],
+			[3,3,1,1,0,1],
+			[3,5,2,2,1,1],
+			[3,5,2,2,0,1],
+			[3,2,1,0,1,1],
+			[3,2,1,1,0,0],
+			[3,4,3,1,2,0],
+			[4,3,2,0,2,0],
+			[4,5,1,0,1,1],
+			[4,5,1,0,0,0],
+			[4,4,1,1,2,1],
+			[5,0,1,0,2,1],
+			[5,0,1,1,2,1],
+			[5,3,0,0,1,1],
+			[5,2,0,1,2,0],
+			[5,4,0,0,1,1],
+			[0,5,0,1,0,1],
+			[1,0,1,2,1,1],
+			[1,3,3,0,0,0],
+			[1,1,2,1,1,1],
+			[1,5,1,2,0,1],
+			[2,0,0,0,0,1],
+			[2,0,1,0,1,1],
+			[2,0,1,1,0,0],
+			[2,3,3,0,0,1],
+			[2,1,0,2,0,1],
+			[2,1,1,1,1,0],
+			[2,5,0,0,0,1],
+			[2,5,1,0,1,0],
+			[2,5,1,2,0,0],
+			[2,5,2,2,0,0],
+			[2,5,3,0,0,0],
+			[2,5,3,1,0,1],
+			[2,2,2,1,2,0],
+			[2,2,3,2,1,0],
+			[2,4,1,0,0,0],
+			[3,6,2,0,1,1],
+			[3,6,2,2,0,1],
+			[3,0,1,0,2,1],
+			[3,0,1,1,1,0],
+			[3,0,2,0,0,1],
+			[3,1,1,0,2,0],
+			[3,1,1,0,0,0],
+			[3,1,2,1,0,0],
+			[3,1,2,2,0,1],
+			[3,5,1,0,1,1],
+			[3,5,3,1,1,1],
+			[3,5,3,1,0,1],
+			[3,4,1,2,0,1],
+			[4,0,0,0,2,1],
+			[4,0,1,2,2,0],
+			[4,5,0,1,2,1],
+			[4,5,0,1,1,0],
+			[4,5,0,2,2,0],
+			[4,5,2,0,1,1],
+			[4,5,2,1,0,0],
+			[4,5,2,2,2,0],
+			[4,2,0,1,2,1],
+			[4,4,0,1,2,0],
+			[4,4,1,1,0,0],
+			[5,3,1,1,2,0],
+			[5,1,0,0,2,0],
+			[5,1,0,0,1,1],
+			[5,1,1,1,2,0],
+			[5,5,0,1,1,1],
+			[5,2,0,1,2,1],
+			[5,2,0,2,1,1],
+			[0,2,0,1,0,0],
+			[1,6,3,1,0,1],
+			[1,0,1,1,0,0],
+			[1,2,3,2,0,1],
+			[1,4,2,2,0,0],
+			[1,4,3,0,0,0],
+			[2,1,2,1,0,0],
+			[2,5,0,0,0,0],
+			[2,4,1,0,2,0],
+			[2,4,1,2,0,0],
+			[3,6,3,0,0,0],
+			[3,0,3,0,1,1],
+			[3,3,1,2,2,0],
+			[3,5,1,2,0,1],
+			[3,2,1,0,1,0],
+			[3,4,0,1,2,0],
+			[3,4,1,0,1,0],
+			[3,4,2,2,0,0],
+			[4,6,2,0,1,1],
+			[4,6,2,2,0,0],
+			[4,6,3,2,2,0],
+			[4,5,0,1,0,1],
+			[4,5,0,2,1,1],
+			[4,5,2,1,2,1],
+			[4,2,0,0,2,0],
+			[4,2,2,1,0,0],
+			[4,4,1,0,1,0],
+			[5,0,0,1,2,1],
+			[5,0,3,2,1,1],
+			[5,2,1,0,2,1],
+			[5,2,3,0,2,1],
+			[0,6,2,0,0,0],
+			[0,2,2,0,0,1],
+			[1,3,3,0,0,1],
+			[1,1,1,2,1,1],
+			[1,5,3,0,0,0],
+			[1,2,0,0,0,1],
+			[1,4,3,0,0,1],
+			[1,4,3,1,0,0],
+			[2,6,2,0,1,0],
+			[2,0,0,1,2,1],
+			[2,0,2,1,2,1],
+			[2,0,3,0,0,1],
+			[2,3,2,0,0,1],
+			[2,3,2,2,0,0],
+			[2,1,0,1,2,1],
+			[2,5,0,0,2,0],
+			[2,5,1,2,0,1],
+			[2,2,1,1,1,1],
+			[2,2,2,2,0,1],
+			[3,6,3,1,2,1],
+			[3,0,3,2,0,1],
+			[3,5,2,1,1,0],
+			[3,5,3,0,0,0],
+			[3,2,2,0,0,1],
+			[3,2,2,2,2,1],
+			[3,4,3,1,2,1],
+			[4,6,1,0,0,0],
+			[4,3,2,0,1,1],
+			[4,3,2,2,0,1],
+			[4,5,2,0,2,1],
+			[4,5,3,0,2,0],
+			[4,2,0,0,1,1],
+			[4,2,0,1,2,0],
+			[4,2,1,2,2,0],
+			[4,4,1,1,0,1],
+			[4,4,2,1,2,1],
+			[4,4,2,2,0,1],
+			[4,4,3,0,2,0],
+			[5,6,1,1,0,0],
+			[5,0,1,1,2,0],
+			[5,0,1,2,2,1],
+			[5,3,1,0,2,0],
+			[5,5,1,2,2,0],
+			[5,5,2,1,2,0],
+			[5,2,3,1,2,1],
+			[5,2,3,2,2,0],
+			[5,4,1,1,2,0],
+			[0,6,1,1,0,0],
+			[0,0,1,0,0,1],
+			[0,0,1,1,0,1],
+			[0,2,2,1,0,0],
+			[1,1,0,1,0,0],
+			[1,1,0,2,0,1],
+			[1,5,2,2,0,0],
+			[1,4,0,1,0,0],
+			[1,4,1,1,1,1],
+			[2,6,2,2,2,0],
+			[2,0,2,2,2,1],
+			[2,3,2,1,2,0],
+			[2,3,3,0,0,0],
+			[2,1,0,1,2,0],
+			[2,1,1,0,0,0],
+			[2,5,0,1,2,0],
+			[2,5,3,1,0,0],
+			[2,2,0,0,0,0],
+			[2,2,2,2,1,1],
+			[2,4,1,1,2,0],
+			[3,6,0,1,2,0],
+			[3,6,2,0,0,1],
+			[3,6,2,2,2,1],
+			[3,6,3,0,2,0],
+			[3,0,0,0,0,1],
+			[3,0,3,1,2,1],
+			[3,1,1,0,2,1],
+			[3,2,0,0,2,0],
+			[3,2,2,2,1,0],
+			[3,4,1,1,1,0],
+			[4,6,3,2,0,1],
+			[4,0,1,1,1,0],
+			[4,0,2,2,2,0],
+			[4,3,1,0,2,0],
+			[4,3,1,1,0,0],
+			[4,1,2,2,2,1],
+			[4,5,0,0,0,0],
+			[4,5,1,0,0,1],
+			[4,2,1,0,2,1],
+			[4,2,2,0,0,0],
+			[5,6,1,0,1,1],
+			[5,6,3,1,1,1],
+			[5,0,3,1,1,1],
+			[5,3,0,1,1,1],
+			[5,3,3,1,2,0],
+			[5,1,1,0,1,1],
+			[5,2,1,0,1,0],
+			[5,2,2,2,1,1],
+			[5,2,3,0,0,0],
+			[0,6,0,0,0,1],
+			[0,1,1,1,0,1],
+			[1,6,1,1,2,0],
+			[1,6,1,2,0,0],
+			[1,6,2,1,1,1],
+			[1,6,2,2,0,0],
+			[1,0,0,2,1,1],
+			[1,3,1,1,0,1],
+			[1,3,2,2,0,1],
+			[1,5,1,0,2,0],
+			[1,2,1,0,1,0],
+			[1,2,2,2,0,0],
+			[1,4,3,2,0,1],
+			[2,6,2,1,2,1],
+			[2,5,1,1,2,1],
+			[2,2,0,1,0,1],
+			[2,4,2,1,2,0],
+			[2,4,3,0,0,1],
+			[3,3,2,0,2,0],
+			[3,3,2,0,1,1],
+			[3,3,3,0,1,0],
+			[3,1,0,1,0,0],
+			[3,1,1,0,1,1],
+			[3,1,2,2,2,1],
+			[3,5,0,0,1,0],
+			[3,5,0,0,0,1],
+			[3,5,0,1,1,0],
+			[3,5,2,0,1,1],
+			[3,2,1,0,0,0],
+			[3,2,2,2,0,1],
+			[3,2,3,0,2,1],
+			[3,4,2,0,0,1],
+			[3,4,3,0,1,1],
+			[4,6,0,2,1,1],
+			[4,3,2,1,0,1],
+			[4,1,0,0,2,0],
+			[4,1,0,1,1,0],
+			[4,1,0,2,2,1],
+			[4,1,1,0,2,0],
+			[4,1,2,1,0,1],
+			[4,5,0,0,0,1],
+			[4,5,1,0,2,1],
+			[4,5,3,1,2,0],
+			[4,2,0,2,1,1],
+			[4,2,1,0,1,0],
+			[4,4,2,1,1,0],
+			[5,6,0,0,2,0],
+			[5,6,1,0,1,0],
+			[5,3,2,0,2,0],
+			[5,1,0,1,2,1],
+			[5,2,3,2,0,1],
+			[5,4,0,1,2,0],
+			[5,4,0,1,1,1],
+			[0,4,1,0,0,1],
+			[0,4,1,1,0,0],
+			[0,4,2,0,0,1],
+			[1,6,0,0,0,0],
+			[1,6,3,0,0,1],
+			[1,0,2,2,1,1],
+			[1,3,1,1,0,0],
+			[1,5,0,2,0,1],
+			[1,2,1,2,0,1],
+			[2,6,1,0,2,0],
+			[2,6,1,0,1,0],
+			[2,0,3,1,0,0],
+			[2,3,1,2,0,0],
+			[2,3,1,2,0,1],
+			[2,3,2,1,1,0],
+			[2,3,3,2,1,0],
+			[2,1,2,1,2,1],
+			[2,5,2,2,0,1],
+			[2,2,0,1,0,0],
+			[2,2,1,0,1,0],
+			[2,2,2,0,1,0],
+			[2,2,3,2,2,0],
+			[2,4,1,0,0,1],
+			[3,6,0,1,1,1],
+			[3,6,3,0,1,1],
+			[3,3,2,0,1,0],
+			[3,1,0,2,0,1],
+			[3,1,1,0,0,1],
+			[3,1,1,2,2,0],
+			[3,1,3,2,1,1],
+			[3,5,0,1,2,1],
+			[3,5,1,2,0,0],
+			[3,5,2,1,2,1],
+			[3,2,0,1,2,0],
+			[3,4,1,2,2,0],
+			[3,4,2,0,1,1],
+			[3,4,3,0,0,0],
+			[4,6,2,2,0,1],
+			[4,0,2,0,0,1],
+			[4,0,2,1,0,0],
+			[4,0,3,2,0,1],
+			[4,3,1,0,1,0],
+			[4,3,2,0,1,0],
+			[4,3,2,2,0,0],
+			[4,3,3,0,2,0],
+			[4,1,0,2,2,0],
+			[4,5,2,1,0,1],
+			[4,5,3,1,2,1],
+			[4,5,3,2,2,0],
+			[4,4,0,0,2,0],
+			[4,4,1,2,1,0],
+			[4,4,3,1,0,1],
+			[5,6,3,0,2,0],
+			[5,0,2,0,2,0],
+			[5,1,2,1,1,1],
+			[5,5,2,1,1,1],
+			[5,2,3,0,1,0],
+			[0,0,0,0,0,0],
+			[0,0,0,2,0,1],
+			[0,5,0,1,0,0],
+			[0,2,1,0,0,1],
+			[0,2,2,1,0,1],
+			[1,6,0,1,0,0],
+			[1,0,1,0,0,0],
+			[1,5,0,1,1,1],
+			[1,4,2,1,2,0],
+			[2,6,1,2,2,0],
+			[2,6,1,2,1,1],
+			[2,6,2,2,1,0],
+			[2,6,3,1,1,0],
+			[2,0,2,1,0,0],
+			[2,5,0,1,1,1],
+			[2,5,0,2,0,1],
+			[2,5,1,1,1,0],
+			[2,5,1,2,2,0],
+			[2,5,1,2,1,1],
+			[2,5,2,1,2,1],
+			[2,2,2,0,1,1],
+			[2,2,2,2,0,0],
+			[2,2,3,1,2,0],
+			[2,2,3,2,2,1],
+			[2,4,0,1,0,1],
+			[3,0,0,1,2,0],
+			[3,0,1,2,1,0],
+			[3,0,3,0,0,1],
+			[3,3,1,0,2,0],
+			[3,3,1,2,0,0],
+			[3,1,0,0,2,1],
+			[3,1,0,1,1,0],
+			[3,1,0,2,2,1],
+			[3,1,2,0,2,0],
+			[3,5,3,0,2,0],
+			[3,5,3,0,1,1],
+			[3,2,1,1,1,0],
+			[3,2,2,2,2,0],
+			[3,4,0,1,1,1],
+			[3,4,1,2,0,0],
+			[3,4,2,0,0,0],
+			[3,4,2,2,2,0],
+			[3,4,3,2,2,0],
+			[4,6,2,2,2,1],
+			[4,0,0,0,0,1],
+			[4,0,1,0,0,1],
+			[4,0,1,1,0,0],
+			[4,0,3,0,2,1],
+			[4,3,1,1,0,1],
+			[4,3,3,0,0,0],
+			[4,1,0,0,1,1],
+			[4,1,1,0,2,1],
+			[4,1,1,2,0,1],
+			[4,1,3,1,2,1],
+			[4,1,3,2,1,1],
+			[4,5,2,0,1,0],
+			[4,5,2,0,0,1],
+			[4,2,0,1,1,0],
+			[4,2,1,1,0,0],
+			[5,6,1,1,1,0],
+			[5,6,3,0,1,1],
+			[5,0,0,2,2,1],
+			[5,0,1,1,0,1],
+			[5,3,0,2,1,1],
+			[5,5,0,2,2,0],
+			[5,2,2,0,2,1],
+			[5,2,2,0,1,0],
+			[5,4,0,0,2,0],
+			[5,4,2,0,2,1],
+			[0,4,0,1,0,0],
+			[1,6,1,1,1,1],
+			[1,6,1,2,0,1],
+			[1,6,3,2,0,0],
+			[1,0,0,0,1,1],
+			[1,0,0,1,0,0],
+			[1,0,1,0,1,1],
+			[1,1,1,1,2,1],
+			[1,2,0,1,1,0],
+			[1,4,0,0,0,1],
+			[1,4,1,2,1,1],
+			[1,4,2,0,1,0],
+			[1,4,3,1,0,1],
+			[1,4,3,2,0,0],
+			[2,6,1,0,0,1],
+			[2,6,3,2,1,1],
+			[2,0,0,2,2,1],
+			[2,0,2,0,1,1],
+			[2,0,2,1,2,0],
+			[2,1,0,0,0,1],
+			[2,1,2,2,2,1],
+			[2,1,3,0,0,1],
+			[2,5,0,0,1,0],
+			[2,5,0,1,1,0],
+			[2,5,3,0,0,1],
+			[2,2,1,1,1,0],
+			[2,4,0,2,0,1],
+			[2,4,1,0,1,1],
+			[2,4,2,0,2,0],
+			[2,4,2,1,1,0],
+			[2,4,2,2,0,0],
+			[3,6,0,1,0,0],
+			[3,6,1,2,2,1],
+			[3,6,1,2,1,0],
+			[3,6,2,2,1,0],
+			[3,3,0,1,1,1],
+			[3,3,3,0,1,1],
+			[3,3,3,0,0,0],
+			[3,1,0,0,1,1],
+			[3,1,0,0,0,0],
+			[3,1,2,0,1,1],
+			[3,1,2,2,2,0],
+			[3,5,0,2,1,1],
+			[3,5,1,0,2,1],
+			[3,2,0,1,1,1],
+			[3,2,0,2,1,1],
+			[3,2,1,0,0,1],
+			[3,2,1,2,2,1],
+			[3,4,0,0,0,0],
+			[4,6,0,1,2,1],
+			[4,6,2,0,0,1],
+			[4,6,2,2,1,0],
+			[4,6,3,0,1,0],
+			[4,6,3,0,0,0],
+			[4,6,3,2,2,1],
+			[4,0,2,1,1,0],
+			[4,3,1,2,0,1],
+			[4,3,3,0,2,1],
+			[4,3,3,0,0,1],
+			[4,1,1,0,0,1],
+			[4,1,2,1,0,0],
+			[4,5,2,1,1,0],
+			[4,2,2,1,0,1],
+			[4,4,1,0,2,1],
+			[4,4,2,1,0,1],
+			[4,4,3,0,0,0],
+			[5,6,0,1,2,0],
+			[5,6,0,1,1,1],
+			[5,0,2,1,2,1],
+			[5,3,2,2,2,0],
+			[5,1,1,0,2,0],
+			[5,1,1,1,2,1],
+			[5,5,3,0,2,0],
+			[5,2,1,1,2,1],
+			[5,2,2,1,2,1],
+			[5,4,0,2,1,1],
+			[5,4,2,1,2,0],
+			[5,4,3,0,2,0],
+			[5,4,3,0,2,1],
+			[0,6,2,0,0,1],
+			[0,6,2,1,0,0],
+			[0,1,1,0,0,0],
+			[1,6,1,1,1,0],
+			[1,6,2,1,1,0],
+			[1,0,0,1,2,1],
+			[1,0,1,1,2,1],
+			[1,3,3,2,0,0],
+			[1,1,1,1,2,0],
+			[1,1,1,1,1,0],
+			[1,1,2,0,1,1],
+			[1,5,0,1,2,0],
+			[1,5,1,1,2,0],
+			[1,5,2,0,1,1],
+			[1,2,0,1,2,0],
+			[1,2,0,1,0,0],
+			[1,2,3,2,0,0],
+			[1,4,2,0,2,0],
+			[1,4,2,1,1,1],
+			[2,6,0,1,0,0],
+			[2,6,0,1,0,1],
+			[2,6,1,1,2,1],
+			[2,6,2,0,1,1],
+			[2,6,3,0,1,1],
+			[2,6,3,1,2,0],
+			[2,0,1,0,2,0],
+			[2,0,1,0,2,1],
+			[2,0,1,1,2,0],
+			[2,1,2,0,0,0],
+			[2,5,2,1,1,0],
+			[2,5,3,2,0,0],
+			[2,2,1,0,0,0],
+			[2,4,1,1,2,1],
+			[2,4,1,1,1,0],
+			[3,6,1,0,0,1],
+			[3,0,1,0,1,0],
+			[3,0,1,2,2,0],
+			[3,0,2,0,2,1],
+			[3,0,2,2,2,0],
+			[3,3,0,2,1,1],
+			[3,1,0,0,0,1],
+			[3,1,1,2,0,0],
+			[3,1,3,1,0,1],
+			[3,5,2,2,2,1],
+			[3,5,2,2,0,0],
+			[3,5,3,1,1,0],
+			[3,2,0,0,0,0],
+			[3,2,0,1,2,1],
+			[3,2,0,1,0,0],
+			[3,2,1,1,2,1],
+			[3,4,0,0,2,0],
+			[3,4,0,1,2,1],
+			[3,4,1,0,1,1],
+			[3,4,3,0,0,1],
+			[3,4,3,2,1,0],
+			[4,6,0,0,2,0],
+			[4,6,3,2,1,0],
+			[4,0,0,2,2,0],
+			[4,0,1,0,2,0],
+			[4,0,2,0,2,0],
+			[4,0,3,1,2,0],
+			[4,3,1,2,1,0],
+			[4,1,0,0,0,1],
+			[4,1,0,2,0,1],
+			[4,1,1,0,1,0],
+			[4,1,2,0,1,1],
+			[4,5,1,2,1,0],
+			[4,5,2,2,2,1],
+			[4,5,2,2,0,1],
+			[4,5,3,0,1,1],
+			[4,5,3,2,2,1],
+			[4,2,2,0,2,1],
+			[4,2,2,2,0,0],
+			[4,4,1,2,0,0],
+			[4,4,1,2,0,1],
+			[4,4,3,1,1,0],
+			[5,6,2,1,1,0],
+			[5,6,2,1,0,0],
+			[5,6,2,2,1,1],
+			[5,0,0,0,0,1],
+			[5,0,1,0,2,0],
+			[5,3,3,2,2,1],
+			[5,1,1,2,1,1],
+			[5,1,2,0,1,1],
+			[5,5,0,0,2,1],
+			[5,5,0,1,2,1],
+			[5,5,1,0,2,1],
+			[5,5,2,0,1,1],
+			[5,2,0,0,0,1],
+			[5,2,3,2,0,0],
+			[5,4,1,0,1,0],
+			[5,4,2,2,2,0],
+			[5,4,3,2,2,1],
+			[0,6,1,0,0,1],
+			[0,0,2,0,0,1],
+			[0,1,0,0,0,0],
+			[0,1,2,0,0,1],
+			[0,5,2,1,0,0],
+			[0,2,1,1,0,0],
+			[0,2,1,1,0,1],
+			[1,6,0,1,0,1],
+			[1,6,2,0,1,0],
+			[1,6,2,1,2,0],
+			[1,0,2,1,2,1],
+			[1,0,3,1,0,1],
+			[1,3,3,2,0,1],
+			[1,1,0,1,1,0],
+			[1,1,1,2,2,1],
+			[1,1,3,1,0,1],
+			[1,5,0,0,2,0],
+			[1,5,1,1,1,0],
+			[1,5,1,1,1,1],
+			[1,5,2,1,1,1],
+			[1,5,3,0,0,1],
+			[1,2,2,0,2,0],
+			[1,2,2,0,1,1],
+			[1,4,0,0,2,0],
+			[1,4,1,0,2,0],
+			[1,4,1,1,1,0],
+			[2,0,1,0,0,0],
+			[2,0,2,2,0,0],
+			[2,3,1,1,1,0],
+			[2,3,2,0,1,0],
+			[2,3,3,1,2,0],
+			[2,1,0,2,1,1],
+			[2,1,1,2,2,1],
+			[2,1,2,0,1,1],
+			[2,1,3,2,1,1],
+			[2,5,1,0,1,1],
+			[2,5,2,0,1,1],
+			[2,5,3,1,1,1],
+			[2,2,0,1,2,0],
+			[2,2,1,0,2,0],
+			[2,2,1,0,0,1],
+			[2,2,1,2,1,1],
+			[2,2,2,1,2,1],
+			[2,2,3,0,2,0],
+			[2,4,0,0,0,0],
+			[2,4,0,1,1,1],
+			[2,4,2,0,1,1],
+			[3,6,0,2,1,1],
+			[3,6,3,0,0,1],
+			[3,0,1,0,2,0],
+			[3,0,1,2,0,0],
+			[3,0,3,1,0,0],
+			[3,3,1,2,1,0],
+			[3,3,2,0,0,0],
+			[3,5,0,2,2,0],
+			[3,5,3,0,0,1],
+			[3,5,3,1,2,0],
+			[3,5,3,2,0,0],
+			[3,5,3,2,0,1],
+			[3,2,0,0,1,0],
+			[3,2,0,2,2,0],
+			[3,2,2,2,0,0],
+			[3,4,0,1,0,0],
+			[3,4,0,2,1,1],
+			[3,4,2,0,1,0],
+			[3,4,3,0,1,0],
+			[4,6,0,1,1,0],
+			[4,6,1,2,2,1],
+			[4,6,1,2,1,0],
+			[4,6,1,2,0,1],
+			[4,6,2,0,2,1],
+			[4,6,2,0,0,0],
+			[4,0,0,0,2,0],
+			[4,0,0,1,1,0],
+			[4,0,0,2,0,1],
+			[4,0,3,1,0,0],
+			[4,3,0,1,2,0],
+			[4,3,0,2,2,0],
+			[4,3,1,2,0,0],
+			[4,3,2,0,2,1],
+			[4,1,0,0,0,0],
+			[4,1,3,1,0,1],
+			[4,5,0,0,2,1],
+			[4,5,0,2,2,1],
+			[4,5,0,2,0,0],
+			[4,5,1,2,2,1],
+			[4,5,1,2,0,0],
+			[4,5,2,0,0,0],
+			[4,5,2,2,1,0],
+			[4,5,3,1,0,1],
+			[4,2,0,0,2,1],
+			[4,2,0,2,2,1],
+			[4,2,1,0,0,0],
+			[4,2,1,2,2,1],
+			[4,2,2,2,1,0],
+			[4,2,2,2,0,1],
+			[4,4,0,0,1,1],
+			[4,4,1,0,0,0],
+			[4,4,2,0,2,1],
+			[4,4,2,2,1,0],
+			[4,4,3,0,2,1],
+			[4,4,3,1,0,0],
+			[5,6,1,0,0,0],
+			[5,6,2,0,1,0],
+			[5,6,3,1,2,0],
+			[5,6,3,1,2,1],
+			[5,0,0,0,2,0],
+			[5,0,0,1,0,1],
+			[5,0,2,0,2,1],
+			[5,3,1,1,2,1],
+			[5,3,2,1,2,1],
+			[5,1,0,2,1,1],
+			[5,1,3,1,1,1],
+			[5,5,0,0,1,0],
+			[5,5,3,0,1,1],
+			[5,2,1,2,2,0],
+			[5,2,2,0,0,0],
+			[5,2,3,1,1,0],
+			[5,4,1,0,2,1],
+			[5,4,1,2,2,1],
+			[0,6,0,1,0,1],
+			[0,6,1,1,0,1],
+			[0,3,0,0,0,0],
+			[0,3,1,0,0,0],
+			[0,1,2,0,0,0],
+			[0,5,0,2,0,1],
+			[0,5,1,1,0,0],
+			[1,6,1,0,1,0],
+			[1,6,2,0,2,0],
+			[1,6,2,1,2,1],
+			[1,3,1,2,0,0],
+			[1,3,1,2,0,1],
+			[1,3,2,1,1,0],
+			[1,3,2,2,1,1],
+			[1,1,0,0,1,1],
+			[1,1,0,1,2,1],
+			[1,1,0,2,1,1],
+			[1,1,1,0,1,1],
+			[1,1,1,2,0,0],
+			[1,1,3,0,0,1],
+			[1,5,1,0,1,0],
+			[1,5,2,0,2,0],
+			[1,2,2,0,1,0],
+			[1,4,0,1,0,1],
+			[1,4,1,0,1,1],
+			[1,4,1,1,2,0],
+			[1,4,1,2,0,0],
+			[1,4,2,2,1,1],
+			[1,4,3,1,1,1],
+			[2,6,0,1,2,0],
+			[2,6,1,2,1,0],
+			[2,6,2,0,2,1],
+			[2,6,2,2,2,1],
+			[2,6,3,0,2,0],
+			[2,0,1,2,0,0],
+			[2,0,3,0,1,1],
+			[2,0,3,2,0,0],
+			[2,3,1,2,2,0],
+			[2,3,3,0,1,0],
+			[2,3,3,1,2,1],
+			[2,3,3,2,2,0],
+			[2,1,0,0,1,1],
+			[2,1,0,0,0,0],
+			[2,1,0,1,1,0],
+			[2,1,1,2,0,0],
+			[2,1,3,1,1,1],
+			[2,1,3,1,0,0],
+			[2,1,3,2,0,1],
+			[2,2,0,2,1,1],
+			[2,2,1,2,0,0],
+			[2,2,3,1,2,1],
+			[2,4,0,1,2,0],
+			[2,4,2,0,1,0],
+			[2,4,2,2,2,1],
+			[2,4,3,0,1,1],
+			[2,4,3,2,1,0],
+			[3,6,0,1,2,1],
+			[3,6,0,1,1,0],
+			[3,6,1,0,1,1],
+			[3,6,2,0,2,1],
+			[3,6,3,2,2,0],
+			[3,0,0,1,0,0],
+			[3,0,2,0,2,0],
+			[3,0,2,0,1,0],
+			[3,0,2,1,1,0],
+			[3,0,3,2,0,0],
+			[3,3,1,0,1,0],
+			[3,3,1,0,1,1],
+			[3,3,1,0,0,0],
+			[3,3,3,0,2,0],
+			[3,3,3,0,2,1],
+			[3,1,1,0,1,0],
+			[3,1,1,2,1,0],
+			[3,1,2,2,0,0],
+			[3,5,0,0,2,1],
+			[3,5,0,0,1,1],
+			[3,5,1,2,1,0],
+			[3,5,3,0,1,0],
+			[3,5,3,1,2,1],
+			[3,5,3,2,1,1],
+			[3,2,0,1,0,1],
+			[3,4,0,0,1,1],
+			[3,4,1,1,2,1],
+			[3,4,3,1,1,0],
+			[4,6,3,2,0,0],
+			[4,0,1,2,0,0],
+			[4,0,2,0,1,0],
+			[4,0,3,0,0,1],
+			[4,0,3,1,0,1],
+			[4,3,2,0,0,0],
+			[4,1,0,0,1,0],
+			[4,1,2,1,1,0],
+			[4,1,2,2,1,0],
+			[4,1,3,0,1,1],
+			[4,1,3,1,2,0],
+			[4,5,0,2,1,0],
+			[4,5,3,0,0,0],
+			[4,5,3,2,0,1],
+			[4,2,0,0,1,0],
+			[4,2,1,0,0,1],
+			[4,2,1,1,0,1],
+			[4,2,2,0,0,1],
+			[4,4,0,2,2,1],
+			[4,4,2,0,1,0],
+			[4,4,3,0,1,0],
+			[5,6,1,2,2,0],
+			[5,6,2,1,2,1],
+			[5,0,0,1,2,0],
+			[5,0,3,0,2,1],
+			[5,3,1,0,2,1],
+			[5,3,3,0,2,0],
+			[5,3,3,1,2,1],
+			[5,3,3,2,2,0],
+			[5,3,3,2,0,1],
+			[5,1,0,1,1,0],
+			[5,1,1,0,2,1],
+			[5,1,2,2,1,1],
+			[5,5,1,0,0,0],
+			[5,5,1,1,2,1],
+			[5,5,2,1,2,1],
+			[5,2,2,0,0,1],
+			[5,2,2,1,0,1],
+			[5,2,2,2,2,0],
+			[5,2,3,0,0,1],
+			[5,2,3,1,0,1],
+			[5,4,1,2,2,0],
+			[0,6,2,1,0,1],
+			[0,0,0,1,0,0],
+			[0,1,1,1,0,0],
+			[0,5,2,1,0,1],
+			[0,2,0,2,0,0],
+			[0,2,0,2,0,1],
+			[0,2,2,2,0,1],
+			[1,6,0,0,0,1],
+			[1,6,1,0,2,0],
+			[1,0,1,2,2,1],
+			[1,0,2,0,1,1],
+			[1,0,3,0,0,1],
+			[1,3,1,2,1,1],
+			[1,3,2,2,0,0],
+			[1,1,0,0,0,0],
+			[1,1,0,2,0,0],
+			[1,5,0,0,1,1],
+			[1,5,1,0,1,1],
+			[1,5,2,2,1,1],
+			[1,5,3,1,0,1],
+			[1,2,0,0,2,0],
+			[1,2,1,1,2,0],
+			[1,2,1,2,0,0],
+			[1,2,2,1,1,1],
+			[1,4,1,1,2,1],
+			[1,4,2,0,1,1],
+			[2,6,0,1,1,0],
+			[2,6,0,1,1,1],
+			[2,6,3,0,1,0],
+			[2,0,0,1,2,0],
+			[2,0,0,1,1,0],
+			[2,0,0,2,1,0],
+			[2,0,2,0,2,1],
+			[2,3,0,2,0,1],
+			[2,3,1,1,2,1],
+			[2,3,1,2,2,1],
+			[2,3,2,0,1,1],
+			[2,3,2,0,0,0],
+			[2,3,3,0,1,1],
+			[2,1,0,0,2,1],
+			[2,1,1,0,1,0],
+			[2,1,1,0,1,1],
+			[2,1,2,0,1,0],
+			[2,1,2,1,2,0],
+			[2,1,2,2,0,0],
+			[2,5,0,2,1,1],
+			[2,5,0,2,0,0],
+			[2,5,2,0,2,1],
+			[2,5,2,0,1,0],
+			[2,5,2,1,2,0],
+			[2,5,2,2,2,0],
+			[2,5,2,2,1,0],
+			[2,2,0,0,2,0],
+			[2,2,0,1,1,0],
+			[2,2,0,2,2,0],
+			[2,2,0,2,2,1],
+			[2,2,1,0,1,1],
+			[2,2,1,2,2,0],
+			[2,4,1,0,1,0],
+			[2,4,1,2,2,0],
+			[2,4,1,2,2,1],
+			[2,4,2,2,2,0],
+			[2,4,3,1,2,0],
+			[2,4,3,1,2,1],
+			[2,4,3,1,1,0],
+			[3,6,0,0,0,0],
+			[3,6,0,1,0,1],
+			[3,6,3,0,2,1],
+			[3,0,0,0,0,0],
+			[3,0,1,0,0,0],
+			[3,0,2,0,0,0],
+			[3,0,2,2,1,0],
+			[3,0,2,2,0,0],
+			[3,3,0,0,2,0],
+			[3,3,0,1,2,0],
+			[3,3,0,2,2,1],
+			[3,3,2,0,2,1],
+			[3,3,3,0,0,1],
+			[3,1,0,0,2,0],
+			[3,1,0,2,2,0],
+			[3,1,2,0,2,1],
+			[3,1,2,0,0,1],
+			[3,1,2,1,1,0],
+			[3,1,3,0,0,1],
+			[3,1,3,1,2,1],
+			[3,1,3,1,0,0],
+			[3,5,0,2,0,0],
+			[3,5,0,2,0,1],
+			[3,5,2,2,1,0],
+			[3,5,3,2,2,0],
+			[3,5,3,2,2,1],
+			[3,5,3,2,1,0],
+			[3,2,0,0,1,1],
+			[3,2,0,0,0,1],
+			[3,2,0,1,1,0],
+			[3,2,0,2,2,1],
+			[3,2,1,0,2,1],
+			[3,2,1,2,2,0],
+			[3,2,1,2,0,1],
+			[3,2,2,0,2,1],
+			[3,4,0,0,1,0],
+			[3,4,0,1,0,1],
+			[3,4,1,0,2,1],
+			[4,6,0,0,0,0],
+			[4,6,0,2,2,0],
+			[4,6,1,0,2,1],
+			[4,6,1,0,0,1],
+			[4,6,1,2,0,0],
+			[4,6,3,0,0,1],
+			[4,0,0,2,1,0],
+			[4,0,3,2,2,0],
+			[4,3,0,0,2,0],
+			[4,3,0,2,2,1],
+			[4,1,0,2,1,0],
+			[4,1,1,0,0,0],
+			[4,1,1,2,1,0],
+			[4,1,2,0,2,0],
+			[4,1,2,0,2,1],
+			[4,1,2,2,0,0],
+			[4,5,0,2,0,1],
+			[4,5,1,2,0,1],
+			[4,5,2,2,0,0],
+			[4,5,3,1,0,0],
+			[4,2,0,2,2,0],
+			[4,2,1,2,1,0],
+			[4,4,0,0,1,0],
+			[4,4,0,1,2,1],
+			[4,4,0,1,0,0],
+			[4,4,0,2,2,0],
+			[4,4,2,0,0,0],
+			[4,4,3,0,0,1],
+			[4,4,3,2,1,0],
+			[4,4,3,2,0,0],
+			[5,6,1,0,2,1],
+			[5,6,2,0,0,0],
+			[5,6,2,2,2,0],
+			[5,6,3,1,1,0],
+			[5,0,1,2,2,0],
+			[5,0,2,1,2,0],
+			[5,3,1,0,0,1],
+			[5,3,2,2,2,1],
+			[5,3,3,0,2,1],
+			[5,3,3,1,1,0],
+			[5,3,3,1,0,1],
+			[5,1,1,0,0,1],
+			[5,1,2,1,2,0],
+			[5,1,3,0,1,1],
+			[5,5,0,1,1,0],
+			[5,5,0,1,0,0],
+			[5,5,0,2,1,1],
+			[5,5,0,2,0,0],
+			[5,5,1,0,1,0],
+			[5,5,2,0,1,0],
+			[5,5,2,0,0,1],
+			[5,5,2,2,1,1],
+			[5,5,3,1,0,0],
+			[5,2,1,1,0,1],
+			[5,2,2,1,0,0],
+			[5,2,3,2,1,0],
+			[5,4,0,2,2,1],
+			[5,4,1,1,2,1],
+			[5,4,1,1,0,0],
+			[5,4,2,1,2,1],
+			[5,4,3,1,2,1],
+			[0,0,1,0,0,0],
+			[0,0,2,0,0,0],
+			[0,5,1,1,1,0],
+			[0,5,1,1,0,1],
+			[0,2,1,2,0,0],
+			[0,4,0,0,1,0],
+			[0,4,0,1,0,1],
+			[0,4,1,1,0,1],
+			[0,4,1,2,0,1],
+			[1,6,0,0,1,0],
+			[1,6,0,2,0,1],
+			[1,6,1,2,1,1],
+			[1,6,2,2,2,1],
+			[1,6,2,2,1,0],
+			[1,0,1,2,0,0],
+			[1,0,3,2,0,1],
+			[1,3,1,0,0,0],
+			[1,3,1,0,0,1],
+			[1,3,1,1,2,0],
+			[1,1,0,0,1,0],
+			[1,1,2,1,2,0],
+			[1,1,2,1,2,1],
+			[1,1,2,2,0,0],
+			[1,1,3,1,0,0],
+			[1,5,0,2,0,0],
+			[1,5,1,2,2,0],
+			[1,5,1,2,1,1],
+			[1,5,2,1,2,0],
+			[1,5,2,1,2,1],
+			[1,5,3,0,1,1],
+			[1,2,0,0,2,1],
+			[1,2,0,2,0,1],
+			[1,2,1,0,2,1],
+			[1,2,1,1,1,0],
+			[1,2,1,1,1,1],
+			[1,2,2,0,2,1],
+			[1,2,2,1,2,0],
+			[1,2,2,1,1,0],
+			[1,2,3,0,1,1],
+			[1,2,3,1,1,0],
+			[1,2,3,1,1,1],
+			[1,2,3,2,1,1],
+			[1,4,1,0,1,0],
+			[1,4,1,2,2,1],
+			[1,4,2,1,1,0],
+			[2,6,0,0,0,0],
+			[2,6,1,0,1,1],
+			[2,6,1,2,2,1],
+			[2,6,3,2,1,0],
+			[2,0,0,0,2,1],
+			[2,0,0,2,2,0],
+			[2,0,1,1,1,0],
+			[2,0,2,0,2,0],
+			[2,0,3,0,0,0],
+			[2,0,3,1,2,0],
+			[2,3,0,1,2,0],
+			[2,3,0,1,1,1],
+			[2,3,0,1,0,1],
+			[2,3,0,2,1,1],
+			[2,3,1,0,0,0],
+			[2,3,1,0,0,1],
+			[2,3,1,2,1,0],
+			[2,3,2,1,2,1],
+			[2,3,2,2,2,1],
+			[2,1,0,0,2,0],
+			[2,1,1,0,2,0],
+			[2,1,1,0,2,1],
+			[2,1,2,0,2,0],
+			[2,1,2,1,1,0],
+			[2,5,0,1,2,1],
+			[2,5,0,2,2,0],
+			[2,5,1,0,2,1],
+			[2,5,3,0,1,0],
+			[2,5,3,1,2,0],
+			[2,5,3,1,1,0],
+			[2,5,3,2,2,0],
+			[2,5,3,2,1,1],
+			[2,5,3,2,0,1],
+			[2,2,0,0,1,0],
+			[2,2,0,0,0,1],
+			[2,2,0,1,2,1],
+			[2,2,0,2,0,0],
+			[2,2,1,1,2,1],
+			[2,2,1,2,0,1],
+			[2,2,2,0,2,1],
+			[2,2,2,2,2,0],
+			[2,2,2,2,1,0],
+			[2,2,3,0,2,1],
+			[2,4,0,0,2,0],
+			[2,4,0,0,2,1],
+			[2,4,0,0,1,1],
+			[2,4,0,1,2,1],
+			[2,4,0,1,0,0],
+			[2,4,0,2,1,1],
+			[2,4,0,2,0,0],
+			[2,4,1,2,1,0],
+			[2,4,2,0,2,1],
+			[2,4,2,1,2,1],
+			[2,4,2,2,1,0],
+			[2,4,3,0,1,0],
+			[2,4,3,2,2,0],
+			[3,6,0,0,1,0],
+			[3,6,0,2,2,0],
+			[3,6,1,0,2,1],
+			[3,6,3,2,2,1],
+			[3,6,3,2,1,0],
+			[3,0,0,2,2,0],
+			[3,0,0,2,1,0],
+			[3,0,3,0,2,1],
+			[3,0,3,0,0,0],
+			[3,0,3,1,1,0],
+			[3,0,3,2,2,0],
+			[3,3,0,1,1,0],
+			[3,3,0,2,2,0],
+			[3,3,1,0,2,1],
+			[3,3,1,0,0,1],
+			[3,1,0,2,1,0],
+			[3,1,0,2,0,0],
+			[3,1,2,0,1,0],
+			[3,1,2,0,0,0],
+			[3,1,3,0,1,1],
+			[3,1,3,1,2,0],
+			[3,1,3,1,1,0],
+			[3,1,3,2,0,1],
+			[3,5,0,2,2,1],
+			[3,5,0,2,1,0],
+			[3,5,1,2,2,1],
+			[3,5,3,1,0,0],
+			[3,2,1,2,1,0],
+			[3,2,1,2,0,0],
+			[3,4,0,0,0,1],
+			[3,4,0,2,2,0],
+			[3,4,0,2,0,1],
+			[3,4,1,2,1,0],
+			[3,4,2,0,2,1],
+			[3,4,3,0,2,0],
+			[4,6,0,0,1,0],
+			[4,6,0,0,1,1],
+			[4,6,0,1,0,0],
+			[4,6,0,1,0,1],
+			[4,6,0,2,1,0],
+			[4,6,3,0,2,1],
+			[4,0,0,0,1,0],
+			[4,0,1,0,1,0],
+			[4,0,1,0,0,0],
+			[4,0,1,2,1,0],
+			[4,0,2,2,0,0],
+			[4,0,3,0,1,0],
+			[4,0,3,2,1,0],
+			[4,3,0,0,1,0],
+			[4,3,0,0,1,1],
+			[4,3,0,2,1,0],
+			[4,3,1,0,2,1],
+			[4,3,2,0,0,1],
+			[4,1,0,0,2,1],
+			[4,1,2,2,0,1],
+			[4,1,3,2,2,1],
+			[4,5,3,0,1,0],
+			[4,5,3,2,1,0],
+			[4,5,3,2,1,1],
+			[4,5,3,2,0,0],
+			[4,2,0,0,0,1],
+			[4,2,0,2,1,0],
+			[4,2,1,2,0,0],
+			[4,2,1,2,0,1],
+			[4,4,0,0,2,1],
+			[4,4,0,0,0,0],
+			[4,4,2,1,0,0],
+			[5,6,0,0,2,1],
+			[5,6,0,0,1,1],
+			[5,6,0,1,0,0],
+			[5,6,0,2,1,1],
+			[5,6,1,2,1,1],
+			[5,6,2,0,2,1],
+			[5,6,2,1,0,1],
+			[5,6,3,0,1,0],
+			[5,6,3,1,0,1],
+			[5,6,3,2,1,1],
+			[5,0,0,2,2,0],
+			[5,0,1,0,1,0],
+			[5,0,1,0,0,1],
+			[5,0,1,1,1,0],
+			[5,0,2,1,0,1],
+			[5,0,2,2,2,0],
+			[5,0,2,2,2,1],
+			[5,0,3,0,2,0],
+			[5,0,3,0,0,1],
+			[5,0,3,1,2,1],
+			[5,3,0,2,2,0],
+			[5,3,0,2,2,1],
+			[5,3,1,1,1,0],
+			[5,3,1,1,0,0],
+			[5,3,1,2,2,1],
+			[5,3,2,0,2,1],
+			[5,3,2,0,1,0],
+			[5,3,2,1,1,0],
+			[5,3,2,1,0,0],
+			[5,3,2,2,1,0],
+			[5,3,3,0,1,0],
+			[5,3,3,0,0,0],
+			[5,3,3,1,0,0],
+			[5,3,3,2,0,0],
+			[5,1,0,0,2,1],
+			[5,1,0,0,1,0],
+			[5,1,0,0,0,1],
+			[5,1,0,1,0,0],
+			[5,1,0,1,0,1],
+			[5,1,1,0,1,0],
+			[5,1,1,1,0,0],
+			[5,1,1,1,0,1],
+			[5,5,1,1,1,0],
+			[5,5,1,1,0,0],
+			[5,5,1,1,0,1],
+			[5,5,1,2,1,1],
+			[5,5,2,0,2,1],
+			[5,5,2,2,2,1],
+			[5,5,3,0,2,1],
+			[5,2,0,1,0,1],
+			[5,2,0,2,2,1],
+			[5,2,1,0,0,1],
+			[5,2,1,1,1,0],
+			[5,2,1,1,0,0],
+			[5,2,2,2,2,1],
+			[5,2,2,2,1,0],
+			[5,2,3,1,0,0],
+			[5,4,0,0,2,1],
+			[5,4,1,1,1,0],
+			[5,4,3,1,2,0],
+			[0,6,0,1,0,0],
+			[0,6,1,1,1,0],
+			[0,6,2,1,2,0],
+			[0,6,2,2,0,1],
+			[0,0,0,1,1,1],
+			[0,0,0,2,0,0],
+			[0,0,1,0,1,1],
+			[0,0,1,2,0,1],
+			[0,0,2,1,0,0],
+			[0,3,0,0,0,1],
+			[0,3,1,0,0,1],
+			[0,3,1,1,1,0],
+			[0,3,1,1,0,0],
+			[0,3,2,0,0,1],
+			[0,3,2,1,0,1],
+			[0,3,2,2,0,0],
+			[0,3,2,2,0,1],
+			[0,1,0,1,1,1],
+			[0,1,0,1,0,0],
+			[0,1,0,2,0,1],
+			[0,1,1,1,1,1],
+			[0,1,1,2,0,0],
+			[0,1,1,2,0,1],
+			[0,5,0,0,1,1],
+			[0,5,0,1,2,1],
+			[0,5,0,1,1,1],
+			[0,5,1,1,2,1],
+			[0,5,1,2,0,0],
+			[0,5,1,2,0,1],
+			[0,5,2,0,2,1],
+			[0,2,0,1,2,1],
+			[0,2,1,0,2,1],
+			[0,2,1,1,2,1],
+			[0,2,1,1,1,1],
+			[0,2,1,2,0,1],
+			[0,2,3,2,0,0],
+			[0,4,0,2,0,0],
+			[0,4,0,2,0,1],
+			[0,4,1,0,1,0],
+			[0,4,2,1,0,0],
+			[0,4,2,1,0,1],
+			[1,6,0,1,2,0],
+			[1,6,1,2,2,0],
+			[1,6,1,2,2,1],
+			[1,6,2,0,2,1],
+			[1,6,2,0,1,1],
+			[1,6,2,2,2,0],
+			[1,6,3,0,1,0],
+			[1,6,3,1,1,0],
+			[1,6,3,1,1,1],
+			[1,6,3,2,2,0],
+			[1,0,0,0,0,0],
+			[1,0,1,0,2,1],
+			[1,0,1,1,2,0],
+			[1,0,1,1,1,0],
+			[1,0,2,1,2,0],
+			[1,0,2,2,1,0],
+			[1,0,2,2,0,0],
+			[1,0,3,1,0,0],
+			[1,3,0,1,0,0],
+			[1,3,0,1,0,1],
+			[1,3,0,2,1,1],
+			[1,3,0,2,0,1],
+			[1,3,1,0,2,0],
+			[1,3,1,0,1,1],
+			[1,3,1,1,2,1],
+			[1,3,1,1,1,1],
+			[1,3,1,2,2,0],
+			[1,3,2,0,2,0],
+			[1,3,2,0,1,0],
+			[1,3,2,0,1,1],
+			[1,3,2,1,2,0],
+			[1,3,2,1,2,1],
+			[1,3,2,1,1,1],
+			[1,3,2,2,2,1],
+			[1,3,3,0,1,1],
+			[1,3,3,1,1,1],
+			[1,3,3,2,1,0],
+			[1,1,1,0,2,1],
+			[1,1,1,2,2,0],
+			[1,1,2,0,1,0],
+			[1,1,2,2,1,1],
+			[1,1,3,0,0,0],
+			[1,1,3,2,1,1],
+			[1,1,3,2,0,1],
+			[1,5,0,0,2,1],
+			[1,5,0,1,2,1],
+			[1,5,0,2,2,0],
+			[1,5,1,0,2,1],
+			[1,5,2,0,1,0],
+			[1,5,2,1,1,0],
+			[1,5,2,2,2,0],
+			[1,5,2,2,2,1],
+			[1,5,2,2,1,0],
+			[1,5,3,1,0,0],
+			[1,5,3,2,0,0],
+			[1,5,3,2,0,1],
+			[1,2,0,0,1,0],
+			[1,2,0,2,1,0],
+			[1,2,1,0,2,0],
+			[1,2,1,2,1,0],
+			[1,2,2,1,2,1],
+			[1,4,0,1,2,0],
+			[1,4,0,1,1,0],
+			[1,4,0,1,1,1],
+			[1,4,0,2,2,1],
+			[1,4,0,2,1,0],
+			[1,4,0,2,1,1],
+			[1,4,0,2,0,0],
+			[1,4,0,2,0,1],
+			[1,4,1,2,2,0],
+			[1,4,2,2,2,0],
+			[1,4,2,2,1,0],
+			[1,4,3,0,1,0],
+			[1,4,3,1,2,0],
+			[1,4,3,2,1,1],
+			[2,6,0,0,2,0],
+			[2,6,0,0,0,1],
+			[2,6,0,2,2,0],
+			[2,6,0,2,1,1],
+			[2,6,0,2,0,1],
+			[2,6,3,0,2,1],
+			[2,6,3,1,2,1],
+			[2,6,3,2,2,1],
+			[2,0,0,0,0,0],
+			[2,0,0,1,0,0],
+			[2,0,1,0,1,0],
+			[2,0,1,2,2,0],
+			[2,0,2,1,1,0],
+			[2,0,2,2,1,0],
+			[2,0,3,1,2,1],
+			[2,0,3,2,2,1],
+			[2,0,3,2,1,0],
+			[2,3,0,1,1,0],
+			[2,3,0,1,0,0],
+			[2,3,0,2,0,0],
+			[2,3,1,0,1,1],
+			[2,3,2,0,2,0],
+			[2,3,2,2,2,0],
+			[2,3,2,2,1,0],
+			[2,3,3,2,2,1],
+			[2,1,0,0,1,0],
+			[2,1,0,2,2,0],
+			[2,1,0,2,1,0],
+			[2,1,0,2,0,0],
+			[2,1,1,2,1,0],
+			[2,1,2,0,2,1],
+			[2,1,2,2,1,0],
+			[2,1,3,0,2,0],
+			[2,1,3,0,1,1],
+			[2,1,3,0,0,0],
+			[2,1,3,1,2,1],
+			[2,5,0,0,1,1],
+			[2,5,0,2,2,1],
+			[2,5,1,2,2,1],
+			[2,5,1,2,1,0],
+			[2,5,2,2,1,1],
+			[2,5,3,0,1,1],
+			[2,5,3,2,2,1],
+			[2,2,0,0,2,1],
+			[2,2,0,0,1,1],
+			[2,2,1,0,2,1],
+			[2,2,1,2,2,1],
+			[2,2,2,2,2,1],
+			[2,4,0,0,0,1],
+			[2,4,1,0,2,1],
+			[2,4,3,2,2,1],
+			[3,6,0,0,2,0],
+			[3,6,0,2,2,1],
+			[3,6,0,2,0,0],
+			[3,0,0,0,2,0],
+			[3,0,0,1,1,0],
+			[3,0,0,2,0,0],
+			[3,0,3,0,2,0],
+			[3,0,3,0,1,0],
+			[3,0,3,1,2,0],
+			[3,0,3,2,1,0],
+			[3,3,0,0,1,0],
+			[3,3,0,0,1,1],
+			[3,3,0,0,0,1],
+			[3,3,0,1,2,1],
+			[3,3,0,1,0,0],
+			[3,3,0,1,0,1],
+			[3,3,0,2,0,1],
+			[3,3,2,0,0,1],
+			[3,1,3,0,2,1],
+			[3,1,3,0,1,0],
+			[3,1,3,0,0,0],
+			[3,1,3,2,0,0],
+			[3,5,2,0,2,1],
+			[3,5,3,0,2,1],
+			[3,2,0,0,2,1],
+			[3,2,0,2,0,0],
+			[3,2,0,2,0,1],
+			[3,4,0,1,1,0],
+			[3,4,0,2,2,1],
+			[3,4,0,2,1,0],
+			[3,4,0,2,0,0],
+			[3,4,1,0,0,1],
+			[3,4,2,2,1,0],
+			[4,6,0,2,2,1],
+			[4,0,0,0,0,0],
+			[4,0,0,1,0,0],
+			[4,0,2,0,0,0],
+			[4,0,2,2,1,0],
+			[4,0,3,0,2,0],
+			[4,0,3,0,0,0],
+			[4,0,3,1,1,0],
+			[4,3,0,0,2,1],
+			[4,3,0,1,2,1],
+			[4,3,0,1,1,0],
+			[4,3,0,1,0,0],
+			[4,3,0,1,0,1],
+			[4,3,0,2,0,1],
+			[4,3,1,0,0,0],
+			[4,1,0,2,0,0],
+			[4,1,1,2,0,0],
+			[4,1,2,0,0,1],
+			[4,1,2,2,2,0],
+			[4,1,3,0,2,0],
+			[4,1,3,0,2,1],
+			[4,1,3,0,0,0],
+			[4,1,3,0,0,1],
+			[4,1,3,1,1,0],
+			[4,1,3,1,0,0],
+			[4,1,3,2,2,0],
+			[4,1,3,2,1,0],
+			[4,5,3,0,0,1],
+			[4,5,3,1,1,0],
+			[4,2,0,0,0,0],
+			[4,2,0,1,0,1],
+			[4,2,0,2,0,0],
+			[4,2,0,2,0,1],
+			[4,4,0,1,1,0],
+			[4,4,0,1,0,1],
+			[4,4,0,2,1,0],
+			[4,4,0,2,0,0],
+			[4,4,2,0,0,1],
+			[4,4,2,2,0,0],
+			[5,6,0,0,1,0],
+			[5,6,0,1,0,1],
+			[5,6,0,2,2,0],
+			[5,6,0,2,0,0],
+			[5,6,1,1,2,1],
+			[5,6,1,1,0,1],
+			[5,6,1,2,1,0],
+			[5,6,2,0,0,1],
+			[5,6,2,2,2,1],
+			[5,6,3,0,0,0],
+			[5,6,3,1,0,0],
+			[5,0,0,1,1,0],
+			[5,0,0,2,1,0],
+			[5,0,0,2,0,1],
+			[5,0,1,2,0,1],
+			[5,0,2,0,1,0],
+			[5,0,2,1,0,0],
+			[5,0,3,1,0,1],
+			[5,0,3,2,2,1],
+			[5,0,3,2,0,1],
+			[5,3,0,0,2,0],
+			[5,3,0,0,1,0],
+			[5,3,0,1,2,0],
+			[5,3,0,1,2,1],
+			[5,3,0,2,1,0],
+			[5,3,0,2,0,1],
+			[5,3,1,0,1,0],
+			[5,3,1,0,0,0],
+			[5,3,1,1,0,1],
+			[5,3,1,2,2,0],
+			[5,3,1,2,1,0],
+			[5,3,1,2,0,0],
+			[5,3,1,2,0,1],
+			[5,3,2,0,0,1],
+			[5,3,2,1,0,1],
+			[5,3,2,2,0,1],
+			[5,3,3,0,0,1],
+			[5,1,0,0,0,0],
+			[5,1,0,2,2,0],
+			[5,1,0,2,1,0],
+			[5,1,0,2,0,1],
+			[5,1,1,1,1,0],
+			[5,1,2,0,2,0],
+			[5,1,2,0,2,1],
+			[5,1,2,1,0,0],
+			[5,1,2,2,2,0],
+			[5,1,2,2,2,1],
+			[5,1,3,0,2,1],
+			[5,1,3,1,2,0],
+			[5,1,3,1,2,1],
+			[5,1,3,1,0,1],
+			[5,1,3,2,1,1],
+			[5,5,0,0,0,0],
+			[5,5,0,2,2,1],
+			[5,5,0,2,0,1],
+			[5,5,1,0,0,1],
+			[5,5,1,2,2,1],
+			[5,5,1,2,1,0],
+			[5,5,1,2,0,0],
+			[5,5,2,1,1,0],
+			[5,5,2,1,0,0],
+			[5,5,2,2,2,0],
+			[5,5,2,2,1,0],
+			[5,5,2,2,0,0],
+			[5,5,3,0,0,0],
+			[5,5,3,1,2,0],
+			[5,5,3,1,1,1],
+			[5,5,3,2,1,1],
+			[5,2,0,0,0,0],
+			[5,2,0,1,1,0],
+			[5,2,0,1,0,0],
+			[5,2,0,2,0,1],
+			[5,2,1,0,0,0],
+			[5,2,2,1,1,0],
+			[5,2,2,2,0,0],
+			[5,2,2,2,0,1],
+			[5,4,0,0,0,0],
+			[5,4,0,1,2,1],
+			[5,4,1,0,0,0],
+			[5,4,1,0,0,1],
+			[5,4,1,2,1,0],
+			[5,4,1,2,0,0],
+			[5,4,2,0,0,0],
+			[5,4,3,0,0,1],
+			[5,4,3,1,0,0]
+		],
+		"cellFrequencies": [741,592,569,557,480,457,447,437,408,360,359,358,353,298,295,294,280,275,273,260,239,233,232,225,216,207,204,197,196,189,184,184,181,179,179,176,174,174,165,164,164,162,160,158,151,150,150,150,146,145,144,143,142,141,141,140,138,137,136,136,135,128,128,127,126,125,125,123,121,119,118,118,117,116,115,114,111,111,110,110,110,109,109,109,107,106,106,106,106,105,104,104,103,102,102,102,101,101,100,98,98,98,97,97,94,94,93,92,92,92,90,90,89,88,87,87,87,87,86,86,83,82,80,80,79,79,78,78,77,77,77,76,75,74,74,74,73,73,73,73,72,72,72,71,71,70,70,69,69,69,69,68,68,68,68,68,67,67,67,66,66,65,65,64,64,64,64,63,63,63,62,62,62,61,61,61,61,61,61,61,61,61,60,60,60,60,60,60,60,59,59,59,59,59,59,59,58,58,58,58,58,58,57,57,57,57,56,56,56,56,56,56,56,55,55,55,55,55,54,54,54,54,54,54,53,53,53,53,53,53,52,52,52,51,51,51,51,51,50,50,50,50,50,50,49,49,49,49,49,48,48,48,48,48,48,48,47,47,47,46,46,46,46,46,45,45,44,44,44,44,43,43,43,43,43,43,43,43,43,43,42,42,42,42,41,41,41,41,41,41,41,40,40,40,40,40,40,40,40,39,39,39,39,39,39,38,38,38,38,38,38,38,37,37,37,37,37,37,37,37,37,36,36,36,36,36,36,36,36,36,36,35,35,35,35,35,35,34,34,34,34,34,34,34,34,34,34,34,33,33,33,33,33,33,33,33,33,33,32,32,32,32,32,32,32,32,32,31,31,31,31,31,31,31,31,31,31,31,31,31,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,28,28,28,28,28,28,28,28,28,28,28,28,27,27,27,27,27,27,27,27,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj b/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj
deleted file mode 100644
index f26ebe6c..00000000
--- a/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj
+++ /dev/null
@@ -1,2592 +0,0 @@
-{
-	"tool": "Khiops Coclustering",
-	"version": "9.0.1",
-	"coclusteringReport": {
-		"summary": {
-			"instances": 48842,
-			"cells": 1893,
-			"nullCost": 1642380.057,
-			"cost": 1607892.406,
-			"level": 0.02099858106,
-			"initialDimensions": 6,
-			"frequencyVariable": "",
-			"dictionary": "Adult",
-			"database": "C:\\Applications\\khiops9\\samples\\Adult\\Adult.txt"
-		},
-		"dimensionSummaries": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"parts": 6,
-				"initialParts": 6,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 17,
-				"max": 90
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"parts": 6,
-				"initialParts": 6,
-				"values": 14,
-				"interest": 1,
-				"description": ""
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"parts": 4,
-				"initialParts": 4,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 1,
-				"max": 16
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 48842,
-				"interest": 1,
-				"description": "",
-				"min": 1,
-				"max": 99
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 7,
-				"interest": 1,
-				"description": ""
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"parts": 2,
-				"initialParts": 2,
-				"values": 2,
-				"interest": 1,
-				"description": ""
-			}
-		],
-		"dimensionPartitions": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;18.5]",
-						"bounds": [17,18.5]
-					},
-					{
-						"cluster": "]18.5;22.5]",
-						"bounds": [18.5,22.5]
-					},
-					{
-						"cluster": "]22.5;28.5]",
-						"bounds": [22.5,28.5]
-					},
-					{
-						"cluster": "]28.5;40.5]",
-						"bounds": [28.5,40.5]
-					},
-					{
-						"cluster": "]40.5;60.5]",
-						"bounds": [40.5,60.5]
-					},
-					{
-						"cluster": "]60.5;+inf[",
-						"bounds": [60.5,90]
-					}
-				]
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
-						"values": ["Craft-repair","Transport-moving","Farming-fishing","Protective-serv","Armed-Forces"],
-						"valueFrequencies": [6112,2355,1490,983,15],
-						"valueTypicalities": [1,0.558393,0.291576,0.110912,0.00345382]
-					},
-					{
-						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
-						"values": ["Machine-op-inspct","Handlers-cleaners"],
-						"valueFrequencies": [3022,2072],
-						"valueTypicalities": [1,0.784427]
-					},
-					{
-						"cluster": "{Prof-specialty}",
-						"values": ["Prof-specialty"],
-						"valueFrequencies": [8981],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Exec-managerial, Sales}",
-						"values": ["Exec-managerial","Sales"],
-						"valueFrequencies": [6086,5504],
-						"valueTypicalities": [1,0.503209]
-					},
-					{
-						"cluster": "{Adm-clerical, Tech-support}",
-						"values": ["Adm-clerical","Tech-support"],
-						"valueFrequencies": [5611,1446],
-						"valueTypicalities": [1,0.202539]
-					},
-					{
-						"cluster": "{Other-service, Priv-house-serv}",
-						"values": ["Other-service","Priv-house-serv"],
-						"valueFrequencies": [4923,242],
-						"valueTypicalities": [1,0.110267]
-					}
-				],
-				"defaultGroupIndex": 0
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;8.5]",
-						"bounds": [1,8.5]
-					},
-					{
-						"cluster": "]8.5;9.5]",
-						"bounds": [8.5,9.5]
-					},
-					{
-						"cluster": "]9.5;12.5]",
-						"bounds": [9.5,12.5]
-					},
-					{
-						"cluster": "]12.5;+inf[",
-						"bounds": [12.5,16]
-					}
-				]
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;36.5]",
-						"bounds": [1,36.5]
-					},
-					{
-						"cluster": "]36.5;43.5]",
-						"bounds": [36.5,43.5]
-					},
-					{
-						"cluster": "]43.5;+inf[",
-						"bounds": [43.5,99]
-					}
-				]
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Never-married, Married-AF-spouse}",
-						"values": ["Never-married","Married-AF-spouse"],
-						"valueFrequencies": [16117,37],
-						"valueTypicalities": [1,0.0016512]
-					},
-					{
-						"cluster": "{Married-civ-spouse}",
-						"values": ["Married-civ-spouse"],
-						"valueFrequencies": [22379],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Divorced, Widowed, Separated, ...}",
-						"values": ["Divorced","Widowed","Separated","Married-spouse-absent"],
-						"valueFrequencies": [6633,1518,1530,628],
-						"valueTypicalities": [1,0.44822,0.268642,0.0730328]
-					}
-				],
-				"defaultGroupIndex": 0
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Male}",
-						"values": ["Male"],
-						"valueFrequencies": [32650],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Female}",
-						"values": ["Female"],
-						"valueFrequencies": [16192],
-						"valueTypicalities": [1]
-					}
-				],
-				"defaultGroupIndex": 1
-			}
-		],
-		"dimensionHierarchies": [
-			{
-				"name": "age",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;18.5]",
-						"parentCluster": "]-inf;22.5]",
-						"frequency": 1457,
-						"interest": 0.300009,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]18.5;22.5]",
-						"parentCluster": "]-inf;22.5]",
-						"frequency": 4440,
-						"interest": 0.766626,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]22.5;28.5]",
-						"parentCluster": "]-inf;28.5]",
-						"frequency": 7395,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]28.5;40.5]",
-						"parentCluster": "]28.5;60.5]",
-						"frequency": 15339,
-						"interest": 0.952887,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]40.5;60.5]",
-						"parentCluster": "]28.5;60.5]",
-						"frequency": 16605,
-						"interest": 0.839256,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]60.5;+inf[",
-						"parentCluster": "]28.5;+inf[",
-						"frequency": 3606,
-						"interest": 0.419753,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;22.5]",
-						"parentCluster": "]-inf;28.5]",
-						"frequency": 5897,
-						"interest": 0.651336,
-						"hierarchicalLevel": 0.995206,
-						"rank": 2,
-						"hierarchicalRank": 23,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;28.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 13292,
-						"interest": 0.845315,
-						"hierarchicalLevel": 0.753224,
-						"rank": 4,
-						"hierarchicalRank": 14,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.845619,
-						"hierarchicalLevel": -0.000190485,
-						"rank": 6,
-						"hierarchicalRank": 7,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]28.5;60.5]",
-						"parentCluster": "]28.5;+inf[",
-						"frequency": 31944,
-						"interest": 0.89382,
-						"hierarchicalLevel": 0.894794,
-						"rank": 8,
-						"hierarchicalRank": 17,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]28.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 35550,
-						"interest": 0.845733,
-						"hierarchicalLevel": 0.855616,
-						"rank": 10,
-						"hierarchicalRank": 16,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "occupation",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Craft-repair, Transport-moving, Farming-fishing, ...}",
-						"parentCluster": "B16",
-						"frequency": 10955,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Machine-op-inspct, Handlers-cleaners}",
-						"parentCluster": "B16",
-						"frequency": 5094,
-						"interest": 0.659953,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Prof-specialty}",
-						"parentCluster": "B13",
-						"frequency": 8981,
-						"interest": 0.88263,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Exec-managerial, Sales}",
-						"parentCluster": "B13",
-						"frequency": 11590,
-						"interest": 0.748618,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Adm-clerical, Tech-support}",
-						"parentCluster": "B15",
-						"frequency": 7057,
-						"interest": 0.705283,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Other-service, Priv-house-serv}",
-						"parentCluster": "B15",
-						"frequency": 5165,
-						"interest": 0.687133,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "B16",
-						"parentCluster": "B5",
-						"frequency": 16049,
-						"interest": 0.892068,
-						"hierarchicalLevel": 0.975793,
-						"rank": 2,
-						"hierarchicalRank": 21,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B5",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.807633,
-						"hierarchicalLevel": 0.38571,
-						"rank": 4,
-						"hierarchicalRank": 10,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B13",
-						"parentCluster": "B8",
-						"frequency": 20571,
-						"interest": 0.807126,
-						"hierarchicalLevel": 0.919343,
-						"rank": 6,
-						"hierarchicalRank": 18,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B8",
-						"parentCluster": "B5",
-						"frequency": 32793,
-						"interest": 0.76631,
-						"hierarchicalLevel": 0.671299,
-						"rank": 8,
-						"hierarchicalRank": 13,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B15",
-						"parentCluster": "B8",
-						"frequency": 12222,
-						"interest": 0.697613,
-						"hierarchicalLevel": 0.958862,
-						"rank": 10,
-						"hierarchicalRank": 20,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "education_num",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;8.5]",
-						"parentCluster": "]-inf;9.5]",
-						"frequency": 6408,
-						"interest": 0.328368,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]8.5;9.5]",
-						"parentCluster": "]-inf;9.5]",
-						"frequency": 15784,
-						"interest": 0.654457,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]9.5;12.5]",
-						"parentCluster": "]-inf;12.5]",
-						"frequency": 14540,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]12.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 12110,
-						"interest": 0.673911,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;9.5]",
-						"parentCluster": "]-inf;12.5]",
-						"frequency": 22192,
-						"interest": 0.560298,
-						"hierarchicalLevel": 0.987133,
-						"rank": 2,
-						"hierarchicalRank": 22,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;12.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 36732,
-						"interest": 0.73435,
-						"hierarchicalLevel": 0.940864,
-						"rank": 4,
-						"hierarchicalRank": 19,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.719364,
-						"hierarchicalLevel": 0.47669,
-						"rank": 6,
-						"hierarchicalRank": 11,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "hours_per_week",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;36.5]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 10668,
-						"interest": 0.610712,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]36.5;43.5]",
-						"parentCluster": "]36.5;+inf[",
-						"frequency": 24446,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]43.5;+inf[",
-						"parentCluster": "]36.5;+inf[",
-						"frequency": 13728,
-						"interest": 0.389288,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.74332,
-						"hierarchicalLevel": 0.587502,
-						"rank": 2,
-						"hierarchicalRank": 12,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]36.5;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 38174,
-						"interest": 0.780378,
-						"hierarchicalLevel": 0.813628,
-						"rank": 4,
-						"hierarchicalRank": 15,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "marital_status",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Never-married, Married-AF-spouse}",
-						"parentCluster": "E1",
-						"frequency": 16154,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Married-civ-spouse}",
-						"parentCluster": "E4",
-						"frequency": 22379,
-						"interest": 0.934836,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Divorced, Widowed, Separated, ...}",
-						"parentCluster": "E4",
-						"frequency": 10309,
-						"interest": 0.727243,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "E1",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 0.912572,
-						"hierarchicalLevel": 0,
-						"rank": 2,
-						"hierarchicalRank": 6,
-						"isLeaf": false
-					},
-					{
-						"cluster": "E4",
-						"parentCluster": "E1",
-						"frequency": 32688,
-						"interest": 0.869366,
-						"hierarchicalLevel": 0.250779,
-						"rank": 4,
-						"hierarchicalRank": 9,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "sex",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Male}",
-						"parentCluster": "F3",
-						"frequency": 32650,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Female}",
-						"parentCluster": "F3",
-						"frequency": 16192,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 24,
-						"isLeaf": true
-					},
-					{
-						"cluster": "F3",
-						"parentCluster": "",
-						"frequency": 48842,
-						"interest": 1,
-						"hierarchicalLevel": 0.229664,
-						"rank": 2,
-						"hierarchicalRank": 8,
-						"isLeaf": false
-					}
-				]
-			}
-		],
-		"cellPartIndexes": [
-			[4,3,3,2,1,0],
-			[4,0,1,1,1,0],
-			[3,0,1,1,1,0],
-			[4,2,3,2,1,0],
-			[3,3,3,2,1,0],
-			[4,3,3,1,1,0],
-			[4,0,1,2,1,0],
-			[4,0,2,1,1,0],
-			[3,0,1,2,1,0],
-			[4,2,3,1,1,0],
-			[4,3,2,2,1,0],
-			[3,2,3,2,1,0],
-			[3,0,2,1,1,0],
-			[4,0,2,2,1,0],
-			[3,3,2,2,1,0],
-			[3,0,2,2,1,0],
-			[4,0,0,1,1,0],
-			[4,3,1,2,1,0],
-			[3,2,3,1,1,0],
-			[4,3,2,1,1,0],
-			[3,1,1,1,1,0],
-			[3,3,3,1,1,0],
-			[4,1,1,1,1,0],
-			[4,4,1,1,2,1],
-			[4,4,2,1,2,1],
-			[3,3,1,2,1,0],
-			[4,3,1,1,1,0],
-			[3,0,0,1,1,0],
-			[2,0,1,1,0,0],
-			[1,4,2,0,0,1],
-			[3,0,1,1,0,0],
-			[1,5,2,0,0,1],
-			[1,3,2,0,0,1],
-			[3,4,2,1,2,1],
-			[1,2,2,0,0,1],
-			[4,0,1,1,2,0],
-			[4,4,2,1,1,0],
-			[2,4,2,1,0,1],
-			[4,1,0,1,1,0],
-			[3,3,2,1,1,0],
-			[3,4,2,1,0,1],
-			[0,5,0,0,0,0],
-			[2,0,1,1,1,0],
-			[2,2,3,1,0,1],
-			[3,0,1,1,2,0],
-			[0,3,0,0,0,1],
-			[4,0,0,2,1,0],
-			[3,4,2,1,1,0],
-			[3,3,1,1,1,0],
-			[4,2,3,1,2,1],
-			[3,4,1,1,2,1],
-			[2,1,1,1,0,0],
-			[0,5,0,0,0,1],
-			[4,0,3,2,1,0],
-			[3,1,2,1,1,0],
-			[3,2,3,1,0,1],
-			[4,3,1,1,2,1],
-			[3,2,3,1,0,0],
-			[4,4,1,1,1,0],
-			[5,2,3,0,1,0],
-			[1,1,1,1,0,0],
-			[1,2,2,0,0,0],
-			[4,4,3,1,1,0],
-			[3,0,2,1,0,0],
-			[4,2,2,1,1,0],
-			[3,0,1,2,0,0],
-			[3,2,3,2,0,0],
-			[1,5,2,0,0,0],
-			[4,3,2,1,2,1],
-			[2,0,2,1,0,0],
-			[2,4,1,1,0,1],
-			[3,3,3,2,0,0],
-			[4,3,3,2,2,0],
-			[4,5,1,1,2,1],
-			[3,1,1,1,0,0],
-			[3,0,1,2,2,0],
-			[3,3,2,1,2,1],
-			[2,3,3,1,0,1],
-			[3,1,0,1,1,0],
-			[2,4,3,1,0,1],
-			[3,0,0,2,1,0],
-			[1,0,1,1,0,0],
-			[2,3,3,1,0,0],
-			[1,4,2,1,0,1],
-			[4,0,3,1,1,0],
-			[3,1,1,2,1,0],
-			[2,2,3,1,0,0],
-			[3,4,1,1,0,1],
-			[4,2,3,2,2,1],
-			[1,2,2,1,0,0],
-			[4,2,3,0,1,0],
-			[3,3,3,1,0,0],
-			[4,5,1,0,2,1],
-			[2,0,1,2,1,0],
-			[2,3,3,2,0,0],
-			[4,0,2,1,2,0],
-			[3,3,3,1,0,1],
-			[3,2,3,2,0,1],
-			[2,1,1,1,1,0],
-			[3,4,3,1,1,0],
-			[4,0,1,2,2,0],
-			[4,5,1,1,1,0],
-			[4,1,2,1,1,0],
-			[1,2,2,1,0,1],
-			[5,0,0,1,1,0],
-			[5,0,1,1,1,0],
-			[0,1,0,0,0,0],
-			[2,0,2,1,1,0],
-			[2,2,3,2,0,0],
-			[3,4,1,1,1,0],
-			[4,2,2,1,2,1],
-			[1,3,2,0,0,0],
-			[3,0,3,2,1,0],
-			[4,3,2,2,2,1],
-			[4,3,3,1,2,1],
-			[3,3,3,2,0,1],
-			[4,5,0,1,2,1],
-			[2,0,2,2,1,0],
-			[3,2,2,1,1,0],
-			[4,3,3,2,2,1],
-			[3,1,1,1,2,0],
-			[3,5,1,0,2,1],
-			[4,0,1,0,1,0],
-			[4,1,1,1,2,1],
-			[5,2,1,0,1,0],
-			[5,2,3,2,1,0],
-			[2,1,2,1,0,0],
-			[1,4,2,0,0,0],
-			[1,0,2,1,0,0],
-			[3,5,1,1,2,1],
-			[1,5,1,0,0,1],
-			[2,3,2,1,0,1],
-			[2,3,2,1,0,0],
-			[4,3,2,2,2,0],
-			[4,2,1,1,1,0],
-			[2,2,3,0,0,0],
-			[3,0,3,1,1,0],
-			[3,0,2,1,2,0],
-			[4,1,1,2,1,0],
-			[5,3,3,1,1,0],
-			[5,2,3,1,1,0],
-			[3,4,3,1,0,1],
-			[1,4,1,1,0,1],
-			[4,4,1,1,1,1],
-			[4,2,2,2,1,0],
-			[2,4,2,0,0,1],
-			[3,2,3,0,1,1],
-			[4,0,0,1,2,0],
-			[4,2,3,2,2,0],
-			[1,1,2,0,0,0],
-			[2,5,2,0,0,1],
-			[2,2,3,0,0,1],
-			[5,0,1,0,1,0],
-			[0,2,0,0,0,1],
-			[0,2,0,0,0,0],
-			[2,0,0,1,0,0],
-			[3,0,1,0,1,0],
-			[3,0,2,2,0,0],
-			[4,2,3,1,0,1],
-			[5,3,3,2,1,0],
-			[2,4,3,1,0,0],
-			[2,0,1,2,0,0],
-			[3,5,1,1,1,0],
-			[1,3,1,0,0,1],
-			[3,0,0,1,0,0],
-			[3,5,1,1,0,1],
-			[4,2,3,0,2,1],
-			[3,4,2,1,0,0],
-			[3,3,2,2,0,0],
-			[4,3,3,1,2,0],
-			[3,4,2,2,1,0],
-			[3,5,1,1,0,0],
-			[3,3,2,1,0,1],
-			[3,2,3,1,2,1],
-			[1,5,1,0,0,0],
-			[2,3,2,2,0,0],
-			[2,3,3,2,1,0],
-			[4,4,1,0,2,1],
-			[5,2,1,0,2,1],
-			[1,0,2,0,0,0],
-			[2,1,0,1,0,0],
-			[4,1,1,1,2,0],
-			[4,4,1,1,0,1],
-			[4,4,2,0,2,1],
-			[4,3,0,2,1,0],
-			[4,2,3,1,2,0],
-			[4,2,3,2,0,1],
-			[3,1,2,2,1,0],
-			[4,1,0,1,2,1],
-			[5,5,0,0,2,1],
-			[1,5,1,1,0,1],
-			[2,4,1,1,0,0],
-			[2,3,1,1,0,0],
-			[3,4,2,1,1,1],
-			[4,4,2,2,1,0],
-			[4,5,0,1,1,0],
-			[5,4,1,0,2,1],
-			[5,2,0,0,1,0],
-			[1,1,1,0,0,0],
-			[2,4,2,1,0,0],
-			[2,0,0,1,1,0],
-			[2,0,2,2,0,0],
-			[2,2,3,2,0,1],
-			[3,3,1,1,2,1],
-			[3,1,1,1,2,1],
-			[3,2,3,1,1,1],
-			[4,3,1,2,2,1],
-			[4,2,3,1,1,1],
-			[5,3,3,0,1,0],
-			[5,5,1,0,2,1],
-			[1,5,1,1,0,0],
-			[2,1,0,1,1,0],
-			[4,3,1,0,2,1],
-			[4,5,0,0,2,1],
-			[3,0,0,1,2,0],
-			[3,0,2,2,2,0],
-			[3,3,2,2,2,0],
-			[3,2,2,2,1,0],
-			[4,4,3,2,1,0],
-			[4,2,3,1,0,0],
-			[5,0,0,0,1,0],
-			[5,2,2,0,1,0],
-			[2,3,3,2,0,1],
-			[3,4,1,1,1,1],
-			[3,4,3,2,1,0],
-			[1,1,2,1,0,0],
-			[4,0,1,1,2,1],
-			[5,3,2,1,1,0],
-			[0,3,0,0,0,0],
-			[2,3,2,0,0,0],
-			[3,3,3,2,2,0],
-			[4,4,2,1,1,1],
-			[4,4,3,1,2,1],
-			[4,0,2,0,1,0],
-			[5,0,1,2,1,0],
-			[5,3,2,0,1,0],
-			[5,2,1,1,1,0],
-			[1,0,1,0,0,0],
-			[2,3,2,2,1,0],
-			[3,4,3,1,0,0],
-			[3,2,3,0,1,0],
-			[4,2,3,2,0,0],
-			[5,3,1,0,1,0],
-			[1,3,2,1,0,0],
-			[3,2,2,1,2,1],
-			[3,2,3,2,1,1],
-			[4,4,2,1,2,0],
-			[4,4,2,2,2,1],
-			[2,3,2,0,0,1],
-			[2,2,3,1,1,0],
-			[3,3,2,1,0,0],
-			[4,2,3,0,1,1],
-			[1,1,0,1,0,0],
-			[2,3,1,2,1,0],
-			[2,1,1,1,0,1],
-			[2,5,1,1,0,0],
-			[3,1,1,1,0,1],
-			[4,3,3,0,1,0],
-			[4,2,1,1,2,1],
-			[1,4,1,0,0,1],
-			[2,4,2,0,0,0],
-			[2,4,3,0,0,1],
-			[3,4,1,1,0,0],
-			[3,5,1,0,0,1],
-			[4,4,1,2,1,0],
-			[4,5,2,1,2,1],
-			[4,2,3,2,1,1],
-			[1,3,2,1,0,1],
-			[2,1,2,1,1,0],
-			[3,3,3,1,2,1],
-			[3,5,2,1,2,1],
-			[4,0,1,1,0,0],
-			[5,4,1,1,2,1],
-			[5,3,1,1,1,0],
-			[1,4,2,1,0,0],
-			[2,3,2,1,1,0],
-			[2,3,3,1,1,0],
-			[2,5,1,0,0,1],
-			[2,2,2,1,0,0],
-			[3,4,2,2,2,1],
-			[3,3,1,1,0,1],
-			[1,5,2,1,0,1],
-			[2,1,1,2,1,0],
-			[2,5,1,1,0,1],
-			[3,4,2,0,2,1],
-			[3,3,2,1,1,1],
-			[3,1,2,1,2,0],
-			[3,2,3,2,2,1],
-			[4,4,2,1,0,1],
-			[4,0,0,0,1,0],
-			[4,0,2,2,2,0],
-			[3,2,1,1,1,0],
-			[4,3,1,2,2,0],
-			[0,4,0,0,0,1],
-			[2,4,2,1,2,1],
-			[2,4,2,1,1,0],
-			[2,2,2,0,0,1],
-			[3,3,1,2,2,0],
-			[3,5,2,0,2,1],
-			[3,5,2,1,1,0],
-			[3,2,2,1,0,1],
-			[4,3,1,0,1,0],
-			[0,0,0,0,0,0],
-			[2,5,2,1,0,0],
-			[3,1,0,1,0,0],
-			[4,3,1,1,1,1],
-			[2,3,1,1,1,0],
-			[2,5,2,0,0,0],
-			[4,1,0,1,2,0],
-			[4,5,2,0,2,1],
-			[5,0,0,2,1,0],
-			[1,0,0,0,0,0],
-			[1,0,1,2,0,0],
-			[2,1,2,0,0,0],
-			[3,4,1,2,1,0],
-			[3,5,0,1,1,0],
-			[4,3,0,1,1,0],
-			[4,3,2,0,2,1],
-			[4,3,3,2,0,0],
-			[4,1,0,2,1,0],
-			[4,2,1,2,1,0],
-			[5,3,1,2,1,0],
-			[1,3,1,1,0,1],
-			[2,3,3,0,0,0],
-			[2,5,2,1,0,1],
-			[3,2,3,0,0,1],
-			[2,1,1,2,0,0],
-			[3,3,2,1,2,0],
-			[3,3,3,1,1,1],
-			[3,1,2,1,0,0],
-			[3,5,2,1,0,1],
-			[4,1,2,1,2,0],
-			[5,2,2,0,2,1],
-			[1,0,0,1,0,0],
-			[2,5,1,0,0,0],
-			[2,2,3,2,1,0],
-			[3,3,1,2,0,0],
-			[3,1,1,2,0,0],
-			[3,5,0,1,2,1],
-			[4,3,2,1,2,0],
-			[4,2,2,0,2,1],
-			[5,2,3,0,2,1],
-			[1,2,2,2,0,0],
-			[2,0,1,1,2,0],
-			[2,3,1,1,0,1],
-			[3,4,1,0,2,1],
-			[3,3,1,1,0,0],
-			[3,2,1,1,2,1],
-			[4,5,2,1,1,0],
-			[5,3,1,0,2,1],
-			[0,3,1,0,0,1],
-			[1,3,1,1,0,0],
-			[1,5,2,1,0,0],
-			[2,4,3,0,0,0],
-			[2,0,1,0,0,0],
-			[2,3,3,0,0,1],
-			[2,1,1,0,0,0],
-			[3,3,3,2,2,1],
-			[4,4,1,2,2,1],
-			[4,1,3,1,1,0],
-			[1,4,1,1,0,0],
-			[1,2,1,0,0,1],
-			[2,4,2,1,1,1],
-			[2,3,1,2,0,0],
-			[3,4,2,0,1,1],
-			[3,0,0,0,1,0],
-			[3,0,1,1,2,1],
-			[3,2,2,1,0,0],
-			[4,4,1,1,2,0],
-			[4,0,2,1,0,0],
-			[4,3,1,1,2,0],
-			[4,3,3,1,0,0],
-			[4,1,2,2,1,0],
-			[5,4,2,0,2,1],
-			[5,4,2,1,2,1],
-			[5,2,0,1,1,0],
-			[1,1,1,2,0,0],
-			[3,4,2,2,0,1],
-			[4,2,2,0,1,0],
-			[5,3,2,2,1,0],
-			[2,0,0,2,1,0],
-			[3,4,2,0,0,1],
-			[3,4,2,1,2,0],
-			[3,3,2,2,2,1],
-			[3,3,2,2,0,1],
-			[4,4,3,1,2,0],
-			[4,5,1,1,0,1],
-			[2,2,2,1,0,1],
-			[3,4,1,0,1,1],
-			[3,0,1,0,0,0],
-			[3,3,1,0,2,1],
-			[3,5,0,0,2,1],
-			[3,5,1,2,1,0],
-			[3,2,3,1,2,0],
-			[4,3,2,0,1,0],
-			[4,1,2,1,2,1],
-			[4,5,1,2,1,0],
-			[1,2,1,1,0,0],
-			[2,4,1,1,1,0],
-			[2,0,0,2,0,0],
-			[3,0,0,2,0,0],
-			[3,3,3,1,2,0],
-			[3,5,1,1,2,0],
-			[3,2,2,0,2,1],
-			[3,2,2,0,1,1],
-			[4,4,1,0,1,1],
-			[4,0,0,2,2,0],
-			[4,1,1,1,0,0],
-			[4,5,1,0,1,1],
-			[5,3,0,0,1,0],
-			[5,1,1,1,1,0],
-			[0,2,0,1,0,0],
-			[2,4,2,2,0,1],
-			[2,0,3,1,0,0],
-			[3,4,1,1,2,0],
-			[3,0,2,0,1,0],
-			[3,1,0,1,2,1],
-			[3,5,1,2,2,1],
-			[4,0,1,2,0,0],
-			[4,3,3,1,1,1],
-			[4,3,3,2,0,1],
-			[4,2,1,0,1,0],
-			[5,0,2,1,1,0],
-			[0,3,2,0,0,1],
-			[1,0,2,2,0,0],
-			[2,4,1,1,2,1],
-			[3,0,2,1,2,1],
-			[3,3,1,1,1,1],
-			[3,3,2,0,2,1],
-			[3,1,0,1,2,0],
-			[3,2,3,2,2,0],
-			[4,4,2,0,1,1],
-			[4,3,2,1,1,1],
-			[4,5,1,1,2,0],
-			[5,1,0,1,1,0],
-			[1,1,0,0,0,0],
-			[1,2,1,1,0,1],
-			[2,0,2,0,0,0],
-			[3,0,0,2,2,0],
-			[3,5,1,0,0,0],
-			[3,5,2,1,0,0],
-			[3,2,1,2,1,0],
-			[3,2,2,1,1,1],
-			[4,2,2,0,1,1],
-			[5,0,2,0,1,0],
-			[1,1,1,1,0,1],
-			[1,5,0,0,0,0],
-			[2,3,1,1,2,1],
-			[3,1,0,2,1,0],
-			[3,5,0,1,0,1],
-			[3,5,2,0,0,1],
-			[4,4,0,1,2,1],
-			[4,3,3,1,0,1],
-			[4,1,1,1,1,1],
-			[4,5,2,2,1,0],
-			[5,2,2,1,1,0],
-			[0,5,1,0,0,1],
-			[2,4,3,2,0,1],
-			[2,0,0,0,0,0],
-			[2,2,1,1,0,1],
-			[2,2,1,1,0,0],
-			[2,2,2,0,0,0],
-			[3,0,3,1,0,0],
-			[3,3,3,2,1,1],
-			[3,5,1,0,1,1],
-			[3,5,1,1,1,1],
-			[3,2,3,0,0,0],
-			[4,3,1,1,0,1],
-			[4,2,0,1,1,0],
-			[5,5,0,1,2,1],
-			[5,2,0,0,2,1],
-			[3,4,1,2,2,1],
-			[3,4,3,1,2,1],
-			[3,3,1,0,0,1],
-			[3,3,1,2,2,1],
-			[3,2,3,0,2,1],
-			[4,4,3,1,1,1],
-			[4,3,2,2,0,0],
-			[4,2,2,1,2,0],
-			[5,3,2,0,2,1],
-			[5,5,0,0,1,0],
-			[5,2,3,1,2,1],
-			[1,0,1,1,1,0],
-			[1,2,1,0,0,0],
-			[2,4,1,2,0,0],
-			[2,4,3,2,0,0],
-			[2,1,0,1,0,1],
-			[3,1,1,2,2,0],
-			[3,2,2,0,0,1],
-			[4,4,1,1,0,0],
-			[4,3,1,0,1,1],
-			[4,2,2,2,2,1],
-			[4,2,3,0,2,0],
-			[5,3,1,1,2,1],
-			[5,5,1,0,1,0],
-			[2,0,1,2,2,0],
-			[2,3,1,2,0,1],
-			[2,1,1,1,2,0],
-			[2,5,0,1,0,1],
-			[2,5,3,0,0,1],
-			[3,4,3,1,1,1],
-			[3,3,1,1,2,0],
-			[3,3,2,2,1,1],
-			[3,1,1,1,1,1],
-			[3,5,0,0,0,1],
-			[3,5,2,0,1,1],
-			[4,4,0,1,1,0],
-			[4,4,3,1,0,1],
-			[4,0,1,0,2,0],
-			[4,3,3,0,2,1],
-			[4,1,0,1,0,0],
-			[4,5,1,1,1,1],
-			[4,5,1,2,2,1],
-			[5,4,1,1,1,0],
-			[0,1,0,1,0,0],
-			[0,5,2,0,0,1],
-			[0,5,2,0,0,0],
-			[0,2,1,0,0,1],
-			[1,3,1,2,0,0],
-			[1,5,0,1,0,0],
-			[2,4,1,0,0,1],
-			[3,4,1,0,0,1],
-			[3,1,2,2,0,0],
-			[3,2,1,1,0,0],
-			[4,0,3,1,2,0],
-			[4,3,0,1,2,1],
-			[4,3,2,1,0,1],
-			[4,3,2,2,1,1],
-			[4,3,3,2,1,1],
-			[4,1,1,2,2,1],
-			[4,5,1,1,0,0],
-			[4,2,1,0,2,1],
-			[4,2,1,1,2,0],
-			[4,2,2,1,1,1],
-			[5,0,3,0,1,0],
-			[0,0,0,1,0,0],
-			[0,2,2,0,0,1],
-			[1,4,1,0,0,0],
-			[1,3,1,0,0,0],
-			[2,4,1,1,1,1],
-			[2,3,1,0,0,1],
-			[2,3,2,2,0,1],
-			[2,5,1,1,1,0],
-			[2,2,3,1,1,1],
-			[3,4,1,2,0,1],
-			[3,4,2,2,0,0],
-			[3,4,3,2,0,1],
-			[3,0,2,1,0,1],
-			[3,5,0,1,0,0],
-			[3,5,2,0,0,0],
-			[4,4,2,1,0,0],
-			[4,0,3,0,1,0],
-			[4,0,3,2,2,0],
-			[4,3,1,1,0,0],
-			[4,3,3,0,1,1],
-			[4,1,0,1,0,1],
-			[5,3,2,1,2,1],
-			[5,2,1,1,2,1],
-			[0,4,1,0,0,1],
-			[2,3,2,1,2,1],
-			[2,1,2,2,0,0],
-			[3,4,3,0,1,1],
-			[3,0,1,1,0,1],
-			[3,0,3,2,2,0],
-			[3,3,0,1,2,1],
-			[3,3,1,0,1,1],
-			[3,3,2,0,1,0],
-			[3,3,3,0,1,0],
-			[3,5,2,2,2,1],
-			[3,2,1,0,2,1],
-			[4,0,0,1,0,0],
-			[4,0,2,2,0,0],
-			[4,1,1,2,2,0],
-			[4,2,2,2,2,0],
-			[5,5,2,0,2,1],
-			[1,0,0,2,0,0],
-			[1,5,0,0,0,1],
-			[1,2,0,1,0,0],
-			[2,5,0,1,0,0],
-			[2,5,1,1,2,1],
-			[3,4,3,2,0,0],
-			[3,3,1,2,0,1],
-			[3,3,3,0,0,1],
-			[3,1,2,1,2,1],
-			[3,1,3,1,1,0],
-			[3,5,2,2,0,0],
-			[3,2,2,1,2,0],
-			[4,0,0,1,2,1],
-			[4,1,1,0,1,0],
-			[4,5,0,0,1,1],
-			[4,2,3,0,0,0],
-			[5,0,2,2,1,0],
-			[5,2,0,0,2,0],
-			[0,5,1,0,0,0],
-			[1,0,2,0,0,1],
-			[1,3,0,0,0,1],
-			[1,3,2,2,0,0],
-			[1,5,1,2,0,1],
-			[1,2,3,0,0,1],
-			[2,4,2,2,0,0],
-			[2,0,0,0,1,0],
-			[2,1,0,2,0,0],
-			[2,5,0,0,0,0],
-			[2,5,1,2,0,1],
-			[2,5,3,1,0,0],
-			[3,0,0,0,2,0],
-			[3,0,1,0,2,0],
-			[3,5,3,1,1,0],
-			[4,4,1,0,1,0],
-			[4,4,3,0,2,1],
-			[4,4,3,1,0,0],
-			[4,0,2,0,2,0],
-			[4,0,2,1,2,1],
-			[4,3,2,1,0,0],
-			[4,1,1,1,0,1],
-			[4,5,0,0,1,0],
-			[4,2,3,0,0,1],
-			[5,0,0,0,2,0],
-			[5,5,1,1,2,1],
-			[5,5,1,1,1,0],
-			[0,1,1,0,0,0],
-			[1,3,3,0,0,1],
-			[1,2,0,0,0,1],
-			[2,0,3,2,1,0],
-			[2,3,3,1,1,1],
-			[2,1,2,1,0,1],
-			[3,4,1,2,0,0],
-			[3,0,2,0,0,0],
-			[3,0,3,0,1,0],
-			[3,3,3,0,1,1],
-			[3,1,1,0,0,1],
-			[3,5,1,0,1,0],
-			[3,2,2,0,1,0],
-			[4,4,3,0,1,0],
-			[4,3,3,0,0,1],
-			[4,5,0,1,0,1],
-			[4,5,1,0,1,0],
-			[4,5,3,1,1,0],
-			[4,2,0,0,2,1],
-			[4,2,1,1,1,1],
-			[5,3,0,1,1,0],
-			[5,1,0,1,2,1],
-			[5,2,3,2,2,0],
-			[1,1,2,0,0,1],
-			[1,5,0,1,0,1],
-			[2,4,1,2,0,1],
-			[2,4,2,0,2,1],
-			[2,0,3,2,0,0],
-			[2,3,2,1,1,1],
-			[2,1,1,0,0,1],
-			[2,5,0,0,0,1],
-			[2,5,2,2,0,1],
-			[3,4,3,0,0,1],
-			[3,3,0,1,1,0],
-			[3,3,2,0,1,1],
-			[3,3,2,0,0,1],
-			[3,3,2,0,0,0],
-			[3,5,2,2,1,0],
-			[3,2,1,0,1,1],
-			[3,2,1,0,1,0],
-			[3,2,1,1,0,1],
-			[3,2,2,0,0,0],
-			[4,4,2,0,1,0],
-			[4,3,1,2,1,1],
-			[4,5,0,1,2,0],
-			[4,5,1,0,0,1],
-			[4,5,2,0,1,0],
-			[5,4,2,0,1,0],
-			[5,4,2,1,1,0],
-			[5,0,1,0,2,0],
-			[5,2,1,2,1,0],
-			[0,5,0,1,0,0],
-			[1,1,2,1,0,1],
-			[2,4,2,2,1,0],
-			[2,4,3,1,1,0],
-			[2,3,1,0,0,0],
-			[2,1,1,1,2,1],
-			[2,1,2,2,1,0],
-			[2,1,3,1,0,0],
-			[2,5,1,0,2,1],
-			[2,2,2,1,2,1],
-			[2,2,2,2,0,0],
-			[2,2,3,0,1,1],
-			[3,4,2,0,1,0],
-			[3,0,1,1,1,1],
-			[3,0,3,2,0,0],
-			[3,1,1,0,2,1],
-			[3,1,1,0,0,0],
-			[3,1,2,1,0,1],
-			[3,5,3,1,0,0],
-			[4,0,0,0,2,0],
-			[4,0,1,2,2,1],
-			[4,3,1,2,0,0],
-			[4,5,0,1,1,1],
-			[4,5,0,2,2,1],
-			[4,5,2,1,0,1],
-			[4,5,2,2,2,1],
-			[4,2,0,1,2,1],
-			[4,2,0,1,2,0],
-			[5,1,0,0,2,1],
-			[5,1,0,0,1,0],
-			[5,5,0,1,1,0],
-			[5,2,0,1,2,0],
-			[5,2,0,2,1,0],
-			[0,2,0,1,0,1],
-			[1,4,2,2,0,0],
-			[1,0,2,1,0,1],
-			[1,3,2,2,0,1],
-			[1,1,1,1,1,0],
-			[1,1,2,2,0,0],
-			[1,5,1,2,0,0],
-			[2,0,1,0,1,0],
-			[2,0,3,0,0,0],
-			[2,0,3,1,1,0],
-			[2,1,1,1,1,1],
-			[2,5,1,2,0,0],
-			[2,5,2,1,1,0],
-			[2,5,2,2,0,0],
-			[2,2,1,1,2,1],
-			[2,2,2,1,1,1],
-			[2,2,2,1,1,0],
-			[2,2,2,2,0,1],
-			[3,4,2,2,2,0],
-			[3,1,2,2,2,0],
-			[3,5,0,0,0,0],
-			[3,5,1,2,0,0],
-			[3,5,2,1,1,1],
-			[4,4,2,2,0,1],
-			[4,4,3,2,2,1],
-			[4,3,2,0,1,1],
-			[4,3,3,0,2,0],
-			[4,5,0,1,0,0],
-			[4,5,0,2,1,0],
-			[4,5,2,0,2,0],
-			[4,5,2,1,2,0],
-			[4,5,3,0,2,1],
-			[4,2,0,0,1,0],
-			[4,2,1,2,2,1],
-			[4,2,2,1,0,1],
-			[5,2,0,1,2,1],
-			[5,2,2,1,2,1],
-			[5,2,3,0,2,0],
-			[0,4,2,0,0,1],
-			[0,2,2,0,0,0],
-			[1,0,1,1,0,1],
-			[1,2,0,0,0,0],
-			[2,3,2,0,1,1],
-			[2,1,0,0,0,0],
-			[2,1,0,1,2,0],
-			[2,1,2,0,0,1],
-			[2,5,2,0,2,1],
-			[2,5,3,1,0,1],
-			[2,2,0,0,0,1],
-			[3,4,0,1,2,1],
-			[3,4,3,0,2,1],
-			[3,4,3,1,2,0],
-			[3,5,0,1,1,1],
-			[3,5,3,0,0,1],
-			[3,2,0,0,2,1],
-			[3,2,2,2,2,0],
-			[4,4,1,0,0,1],
-			[4,0,1,1,1,1],
-			[4,3,0,0,2,1],
-			[4,1,0,1,1,1],
-			[4,1,2,2,2,0],
-			[4,2,1,0,2,0],
-			[5,0,1,1,2,0],
-			[5,2,1,0,2,0],
-			[0,4,1,1,0,1],
-			[0,0,1,0,0,0],
-			[0,0,1,1,0,0],
-			[0,2,2,1,0,1],
-			[1,4,3,0,0,1],
-			[1,4,3,1,0,1],
-			[1,3,0,1,0,1],
-			[1,3,3,1,0,1],
-			[1,1,0,1,1,0],
-			[1,1,1,0,0,1],
-			[2,0,0,1,2,0],
-			[2,0,1,1,0,1],
-			[2,0,2,1,0,1],
-			[2,3,0,2,0,0],
-			[2,3,1,1,1,1],
-			[2,3,3,2,1,1],
-			[2,5,0,2,0,0],
-			[2,5,1,0,1,1],
-			[2,2,3,0,1,0],
-			[3,4,2,0,0,0],
-			[3,4,3,0,1,0],
-			[3,0,0,0,0,0],
-			[3,0,3,1,2,0],
-			[3,3,0,2,1,0],
-			[3,3,1,0,1,0],
-			[3,1,1,0,2,0],
-			[3,1,1,0,1,0],
-			[3,1,3,2,1,0],
-			[3,5,0,0,1,1],
-			[3,5,2,0,1,0],
-			[3,2,1,0,0,0],
-			[3,2,2,2,1,1],
-			[3,2,2,2,0,0],
-			[3,2,3,0,2,0],
-			[4,4,3,2,0,0],
-			[4,0,2,2,2,1],
-			[4,3,1,2,0,1],
-			[4,5,0,0,0,1],
-			[4,5,1,0,0,0],
-			[4,2,2,0,0,1],
-			[5,4,1,0,1,0],
-			[5,0,3,2,1,0],
-			[5,3,2,2,2,1],
-			[5,2,1,0,1,1],
-			[5,2,2,2,1,0],
-			[5,2,3,0,0,1],
-			[5,2,3,1,2,0],
-			[0,4,0,0,0,0],
-			[0,3,1,0,0,0],
-			[0,3,1,1,0,1],
-			[0,3,2,0,0,0],
-			[0,1,1,1,0,0],
-			[1,0,0,1,1,0],
-			[1,0,1,2,1,0],
-			[1,0,2,1,1,0],
-			[1,5,2,2,0,0],
-			[1,2,3,1,0,1],
-			[2,4,1,0,0,0],
-			[2,4,2,2,2,1],
-			[2,0,2,1,2,0],
-			[2,5,0,0,2,1],
-			[2,5,2,1,2,0],
-			[2,2,0,1,0,1],
-			[2,2,2,0,2,1],
-			[2,2,2,0,1,0],
-			[2,2,3,2,1,1],
-			[3,4,2,2,1,1],
-			[3,3,3,0,0,0],
-			[3,1,0,1,0,1],
-			[3,1,0,2,0,0],
-			[3,1,3,1,0,0],
-			[3,5,1,2,0,1],
-			[3,2,0,1,2,1],
-			[3,2,1,0,0,1],
-			[3,2,1,1,1,1],
-			[4,4,0,2,1,0],
-			[4,3,2,0,2,0],
-			[4,3,2,2,0,1],
-			[4,3,3,0,0,0],
-			[4,1,0,0,2,1],
-			[4,1,0,2,2,0],
-			[4,1,1,0,2,1],
-			[4,1,2,1,0,0],
-			[4,5,0,0,0,0],
-			[4,5,1,0,2,0],
-			[4,5,3,1,2,1],
-			[4,2,0,2,1,0],
-			[4,2,1,0,1,1],
-			[5,4,1,1,0,1],
-			[5,0,1,2,2,0],
-			[5,0,3,1,1,0],
-			[5,3,2,0,2,0],
-			[5,3,3,0,2,1],
-			[5,3,3,1,2,1],
-			[5,3,3,2,2,0],
-			[5,1,1,0,1,0],
-			[5,5,1,2,2,1],
-			[1,4,0,0,0,1],
-			[1,5,2,2,0,1],
-			[1,2,3,0,0,0],
-			[1,2,3,1,0,0],
-			[2,4,2,0,1,1],
-			[2,4,3,1,1,1],
-			[2,0,2,2,2,0],
-			[2,0,3,1,0,1],
-			[2,3,0,1,0,0],
-			[2,3,1,0,2,1],
-			[2,3,1,1,2,0],
-			[2,3,2,0,2,1],
-			[2,3,2,0,1,0],
-			[2,1,3,0,0,0],
-			[2,5,0,1,2,1],
-			[2,2,1,0,1,1],
-			[3,4,0,1,1,0],
-			[3,0,0,1,2,1],
-			[3,3,0,0,2,1],
-			[3,1,1,2,2,1],
-			[3,1,2,0,2,1],
-			[3,5,0,1,2,0],
-			[3,5,2,1,2,0],
-			[4,4,2,2,2,0],
-			[4,4,2,2,0,0],
-			[4,0,2,0,0,0],
-			[4,0,2,1,0,1],
-			[4,0,3,2,0,0],
-			[4,3,1,0,2,0],
-			[4,1,0,2,2,1],
-			[4,5,2,0,1,1],
-			[4,5,2,1,0,0],
-			[4,5,3,1,2,0],
-			[4,5,3,2,2,1],
-			[4,2,1,1,0,1],
-			[5,4,0,0,2,1],
-			[5,4,3,1,1,0],
-			[5,0,0,1,2,0],
-			[5,0,1,1,2,1],
-			[5,3,0,0,2,1],
-			[5,3,0,1,2,1],
-			[5,3,0,2,1,0],
-			[5,3,1,0,2,0],
-			[5,3,3,0,2,0],
-			[5,1,1,1,2,1],
-			[5,5,2,1,2,1],
-			[0,0,0,0,0,1],
-			[0,0,0,2,0,0],
-			[0,5,0,1,0,1],
-			[0,2,1,0,0,0],
-			[0,2,2,1,0,0],
-			[1,4,2,2,0,1],
-			[1,3,3,0,0,0],
-			[1,3,3,1,0,0],
-			[1,2,1,0,1,1],
-			[1,2,1,2,0,0],
-			[2,4,1,0,2,1],
-			[2,4,2,1,2,0],
-			[2,3,0,1,1,0],
-			[2,3,1,0,1,0],
-			[2,3,3,1,2,1],
-			[2,1,0,1,2,1],
-			[2,5,1,1,2,0],
-			[2,5,1,2,1,0],
-			[2,2,0,1,0,0],
-			[2,2,2,0,1,1],
-			[2,2,2,2,1,0],
-			[2,2,3,1,2,1],
-			[3,4,1,2,2,0],
-			[3,4,1,2,1,1],
-			[3,0,1,2,1,1],
-			[3,0,3,0,0,0],
-			[3,1,0,0,2,0],
-			[3,1,0,0,1,0],
-			[3,1,0,1,1,1],
-			[3,1,0,2,2,0],
-			[3,1,2,0,1,0],
-			[3,5,0,2,1,0],
-			[3,5,3,0,2,1],
-			[3,5,3,0,1,0],
-			[3,2,0,1,0,0],
-			[3,2,2,2,2,1],
-			[4,0,0,0,0,0],
-			[4,0,1,0,0,0],
-			[4,0,1,1,0,1],
-			[4,0,2,0,2,1],
-			[4,0,3,0,2,0],
-			[4,3,0,2,2,1],
-			[4,1,0,0,1,0],
-			[4,1,1,0,2,0],
-			[4,1,1,2,0,0],
-			[4,1,3,1,2,0],
-			[4,1,3,2,1,0],
-			[4,5,2,0,0,0],
-			[4,5,2,1,1,1],
-			[4,2,0,1,1,1],
-			[4,2,2,1,0,0],
-			[5,4,1,0,1,1],
-			[5,4,3,0,2,1],
-			[5,4,3,0,1,0],
-			[5,5,0,2,2,1],
-			[5,2,2,0,2,0],
-			[5,2,2,0,1,1],
-			[5,2,3,0,1,1],
-			[5,2,3,2,2,1],
-			[5,2,3,2,0,0],
-			[0,3,0,1,0,1],
-			[1,4,0,1,0,1],
-			[1,0,0,2,1,0],
-			[1,0,1,0,1,0],
-			[1,3,0,0,0,0],
-			[1,1,0,1,0,1],
-			[1,1,0,2,0,0],
-			[1,1,1,2,1,0],
-			[1,1,2,1,1,0],
-			[1,5,1,0,2,1],
-			[2,4,0,1,0,1],
-			[2,4,1,2,2,1],
-			[2,4,2,0,1,0],
-			[2,0,2,1,2,1],
-			[2,3,0,0,0,1],
-			[2,1,2,0,1,0],
-			[2,1,2,1,2,0],
-			[2,5,0,1,1,0],
-			[2,5,1,2,2,1],
-			[2,5,3,0,0,0],
-			[2,5,3,2,0,1],
-			[2,2,1,0,0,1],
-			[2,2,1,1,1,0],
-			[3,4,0,1,0,1],
-			[3,4,1,0,0,0],
-			[3,0,1,2,2,1],
-			[3,0,2,0,2,0],
-			[3,3,0,0,0,1],
-			[3,3,0,1,2,0],
-			[3,3,0,1,0,1],
-			[3,3,1,2,1,1],
-			[3,1,0,0,0,1],
-			[3,1,0,0,0,0],
-			[3,1,2,2,2,1],
-			[3,5,1,0,2,0],
-			[3,5,2,2,0,1],
-			[3,2,0,1,1,0],
-			[3,2,0,1,0,1],
-			[3,2,0,2,1,0],
-			[3,2,1,1,2,0],
-			[3,2,1,2,2,0],
-			[4,4,0,0,2,1],
-			[4,4,0,1,2,0],
-			[4,4,2,0,0,0],
-			[4,4,2,2,1,1],
-			[4,4,3,0,1,1],
-			[4,4,3,0,0,1],
-			[4,4,3,2,2,0],
-			[4,0,2,1,1,1],
-			[4,3,0,0,1,0],
-			[4,3,0,2,2,0],
-			[4,3,2,0,0,1],
-			[4,1,1,0,0,0],
-			[4,1,2,1,0,1],
-			[4,5,1,2,1,1],
-			[4,5,3,0,1,0],
-			[5,0,0,2,2,0],
-			[5,0,1,1,0,0],
-			[5,0,2,0,2,1],
-			[5,3,1,1,2,0],
-			[5,3,2,1,2,0],
-			[5,3,3,1,2,0],
-			[5,1,1,0,2,1],
-			[5,1,2,1,1,0],
-			[5,2,1,1,2,0],
-			[0,4,2,0,0,0],
-			[0,4,2,1,0,1],
-			[0,1,1,0,0,1],
-			[1,4,1,1,2,1],
-			[1,4,1,2,0,1],
-			[1,0,1,0,0,1],
-			[1,3,1,2,0,1],
-			[1,3,3,2,0,0],
-			[1,5,0,2,0,0],
-			[1,2,0,1,2,1],
-			[1,2,0,1,1,1],
-			[2,4,0,1,0,0],
-			[2,4,1,0,1,1],
-			[2,4,1,2,1,0],
-			[2,4,3,2,1,0],
-			[2,0,0,1,0,1],
-			[2,0,1,0,0,1],
-			[2,0,2,2,0,1],
-			[2,3,2,2,2,0],
-			[2,3,3,1,2,0],
-			[2,1,0,1,1,1],
-			[2,1,3,1,0,1],
-			[2,5,0,0,1,1],
-			[2,5,2,1,1,1],
-			[2,2,3,2,2,1],
-			[3,4,1,0,1,0],
-			[3,4,2,0,2,0],
-			[3,0,1,0,2,1],
-			[3,0,1,0,1,1],
-			[3,0,1,2,0,1],
-			[3,0,2,2,2,1],
-			[3,0,3,1,0,1],
-			[3,3,0,0,1,0],
-			[3,3,0,1,0,0],
-			[3,3,1,0,2,0],
-			[3,3,3,0,2,1],
-			[3,1,1,2,0,1],
-			[3,5,0,2,2,1],
-			[3,5,2,2,2,0],
-			[3,5,3,0,0,0],
-			[3,5,3,1,2,1],
-			[3,5,3,1,1,1],
-			[3,2,0,0,0,1],
-			[3,2,0,1,2,0],
-			[3,2,0,2,2,1],
-			[4,4,3,2,1,1],
-			[4,0,0,2,2,1],
-			[4,0,0,2,0,0],
-			[4,0,1,0,2,1],
-			[4,0,3,1,2,1],
-			[4,3,1,0,0,1],
-			[4,1,0,0,0,0],
-			[4,1,0,2,0,0],
-			[4,1,1,0,1,1],
-			[4,1,2,0,1,0],
-			[4,5,1,2,2,0],
-			[4,5,2,2,2,0],
-			[4,5,2,2,1,1],
-			[4,5,2,2,0,0],
-			[4,5,3,2,2,0],
-			[4,2,0,0,2,0],
-			[4,2,2,0,2,0],
-			[4,2,2,2,0,1],
-			[5,4,0,1,1,0],
-			[5,4,1,1,1,1],
-			[5,4,2,1,1,1],
-			[5,4,2,2,1,0],
-			[5,0,0,0,0,0],
-			[5,0,1,0,2,1],
-			[5,0,2,1,2,0],
-			[5,3,1,0,1,1],
-			[5,3,1,2,2,0],
-			[5,1,0,1,2,0],
-			[5,1,1,2,1,0],
-			[5,1,2,0,1,0],
-			[5,5,0,0,2,0],
-			[5,5,1,0,2,0],
-			[5,5,3,0,2,1],
-			[5,2,0,0,0,0],
-			[0,4,1,0,0,0],
-			[0,0,2,0,0,0],
-			[0,1,0,0,0,1],
-			[0,1,2,0,0,0],
-			[0,5,2,1,0,1],
-			[0,2,1,1,0,1],
-			[0,2,1,1,0,0],
-			[1,4,2,0,1,1],
-			[1,4,3,1,0,0],
-			[1,0,0,1,2,0],
-			[1,0,2,2,1,0],
-			[1,3,0,0,2,1],
-			[1,3,1,0,2,1],
-			[1,3,1,1,1,0],
-			[1,3,2,0,2,1],
-			[1,3,2,2,1,0],
-			[1,1,1,1,2,1],
-			[1,1,1,1,2,0],
-			[1,5,0,1,2,1],
-			[1,5,0,1,1,0],
-			[1,5,2,0,1,0],
-			[1,2,2,2,0,1],
-			[2,4,1,1,2,0],
-			[2,4,2,2,1,1],
-			[2,4,3,1,2,1],
-			[2,0,1,0,2,1],
-			[2,0,1,1,2,1],
-			[2,0,2,0,1,0],
-			[2,3,0,2,1,0],
-			[2,3,1,2,2,1],
-			[2,3,1,2,2,0],
-			[2,3,2,1,2,0],
-			[2,3,3,0,1,1],
-			[2,3,3,0,1,0],
-			[2,3,3,2,2,1],
-			[2,1,0,2,1,0],
-			[2,1,1,2,2,0],
-			[2,1,3,2,0,0],
-			[2,5,0,1,1,1],
-			[2,5,2,0,1,0],
-			[2,2,1,1,1,1],
-			[2,2,2,1,2,0],
-			[3,4,0,2,1,0],
-			[3,4,3,0,0,0],
-			[3,0,3,2,0,1],
-			[3,3,2,0,2,0],
-			[3,1,1,0,1,1],
-			[3,5,3,2,0,1],
-			[3,5,3,2,0,0],
-			[3,2,0,0,1,1],
-			[3,2,2,2,0,1],
-			[4,4,0,1,1,1],
-			[4,4,1,2,2,0],
-			[4,4,1,2,1,1],
-			[4,4,1,2,0,0],
-			[4,4,2,0,2,0],
-			[4,4,2,0,0,1],
-			[4,0,0,0,2,1],
-			[4,0,0,1,1,1],
-			[4,0,2,0,1,1],
-			[4,0,3,1,0,1],
-			[4,3,0,0,1,1],
-			[4,1,0,0,1,1],
-			[4,1,0,0,0,1],
-			[4,1,3,0,1,0],
-			[4,1,3,1,0,0],
-			[4,5,0,0,2,0],
-			[4,5,0,2,2,0],
-			[4,5,0,2,0,1],
-			[4,5,1,2,0,1],
-			[4,5,2,0,0,1],
-			[4,5,3,1,0,0],
-			[4,2,0,2,2,0],
-			[4,2,1,0,0,1],
-			[4,2,1,2,2,0],
-			[4,2,2,2,1,1],
-			[4,2,2,2,0,0],
-			[5,4,0,1,2,1],
-			[5,4,1,0,0,1],
-			[5,4,2,1,0,1],
-			[5,4,3,1,2,1],
-			[5,4,3,1,2,0],
-			[5,0,0,0,2,1],
-			[5,0,0,1,0,0],
-			[5,3,0,2,2,0],
-			[5,3,1,1,0,1],
-			[5,1,1,1,2,0],
-			[5,1,3,1,1,0],
-			[5,5,0,0,1,1],
-			[5,5,0,1,2,0],
-			[5,5,2,0,1,0],
-			[5,5,2,1,1,0],
-			[5,2,2,0,0,1],
-			[5,2,3,1,1,1],
-			[5,2,3,2,0,1],
-			[0,4,0,1,0,0],
-			[0,4,1,1,0,0],
-			[0,1,2,0,0,1],
-			[0,5,0,2,0,0],
-			[0,5,1,1,0,1],
-			[1,4,0,1,0,0],
-			[1,4,1,1,1,1],
-			[1,4,1,1,1,0],
-			[1,4,2,1,1,1],
-			[1,4,2,1,1,0],
-			[1,0,1,1,2,0],
-			[1,3,0,1,0,0],
-			[1,3,1,0,1,0],
-			[1,3,1,1,2,1],
-			[1,3,1,2,1,0],
-			[1,3,2,0,1,1],
-			[1,3,2,1,2,1],
-			[1,3,2,1,1,1],
-			[1,3,2,1,1,0],
-			[1,1,0,1,2,0],
-			[1,1,0,2,1,0],
-			[1,1,1,2,0,1],
-			[1,5,0,0,2,1],
-			[1,5,1,1,1,1],
-			[1,5,3,0,0,1],
-			[1,5,3,0,0,0],
-			[1,2,0,1,0,1],
-			[1,2,2,0,1,1],
-			[2,4,3,0,1,0],
-			[2,0,0,2,2,0],
-			[2,3,1,2,1,1],
-			[2,1,0,0,1,0],
-			[2,1,0,0,0,1],
-			[2,1,1,0,1,0],
-			[2,1,1,2,0,1],
-			[2,1,2,0,1,1],
-			[2,1,2,2,2,0],
-			[2,5,1,1,1,1],
-			[2,2,0,0,2,1],
-			[2,2,0,1,2,1],
-			[2,2,0,2,1,0],
-			[2,2,1,0,0,0],
-			[2,2,1,2,1,0],
-			[2,2,3,0,2,1],
-			[3,4,0,1,2,0],
-			[3,4,0,1,1,1],
-			[3,4,0,1,0,0],
-			[3,4,3,2,2,1],
-			[3,0,0,1,0,1],
-			[3,0,0,2,2,1],
-			[3,0,1,0,0,1],
-			[3,0,2,0,2,1],
-			[3,0,2,0,1,1],
-			[3,0,2,1,1,1],
-			[3,3,0,0,1,1],
-			[3,3,0,2,2,1],
-			[3,3,0,2,2,0],
-			[3,3,3,0,2,0],
-			[3,1,0,0,2,1],
-			[3,1,1,2,1,1],
-			[3,1,2,0,0,0],
-			[3,1,2,2,0,1],
-			[3,1,3,0,0,0],
-			[3,5,0,0,2,0],
-			[3,5,0,0,1,0],
-			[3,5,1,2,1,1],
-			[3,5,3,0,1,1],
-			[3,5,3,1,2,0],
-			[3,5,3,2,1,0],
-			[3,2,0,1,1,1],
-			[3,2,1,0,2,0],
-			[3,2,1,2,0,0],
-			[4,4,3,2,0,1],
-			[4,0,1,2,0,1],
-			[4,0,3,0,0,0],
-			[4,0,3,1,0,0],
-			[4,3,0,1,2,0],
-			[4,3,0,1,0,1],
-			[4,1,2,1,1,1],
-			[4,1,2,2,1,1],
-			[4,1,3,1,2,1],
-			[4,5,0,2,1,1],
-			[4,5,3,0,0,1],
-			[4,5,3,2,0,0],
-			[4,2,0,0,1,1],
-			[4,2,1,0,0,0],
-			[4,2,1,1,0,0],
-			[4,2,2,0,0,0],
-			[5,4,2,0,1,1],
-			[5,0,0,1,2,1],
-			[5,0,2,0,2,0],
-			[5,0,3,0,2,0],
-			[5,3,1,0,0,0],
-			[5,3,1,1,1,1],
-			[5,3,1,2,2,1],
-			[5,3,3,2,2,1],
-			[5,3,3,2,0,0],
-			[5,1,0,2,1,0],
-			[5,1,1,0,2,0],
-			[5,5,1,0,0,1],
-			[5,5,1,1,2,0],
-			[5,5,2,1,2,0],
-			[5,5,3,0,1,0],
-			[5,2,1,2,2,1],
-			[5,2,2,0,0,0],
-			[5,2,2,1,2,0],
-			[5,2,3,0,0,0],
-			[5,2,3,1,0,0],
-			[0,4,2,1,0,0],
-			[0,0,0,1,0,1],
-			[0,1,1,1,0,1],
-			[0,5,2,1,0,0],
-			[0,2,0,2,0,1],
-			[0,2,0,2,0,0],
-			[0,2,2,2,0,0],
-			[1,4,1,0,2,1],
-			[1,4,1,0,1,1],
-			[1,4,1,2,0,0],
-			[1,4,2,1,2,1],
-			[1,0,0,0,1,0],
-			[1,0,2,1,2,0],
-			[1,3,1,1,1,1],
-			[1,3,2,0,1,0],
-			[1,3,3,2,0,1],
-			[1,1,0,0,1,0],
-			[1,1,0,0,0,1],
-			[1,1,0,1,1,1],
-			[1,1,0,2,0,1],
-			[1,1,1,1,1,1],
-			[1,1,2,0,1,0],
-			[1,5,1,0,1,1],
-			[1,5,1,0,1,0],
-			[1,5,1,1,1,0],
-			[1,5,2,1,1,0],
-			[1,2,1,2,0,1],
-			[1,2,2,0,2,1],
-			[1,2,2,0,1,0],
-			[1,2,3,2,0,0],
-			[2,4,0,1,2,1],
-			[2,4,0,1,1,1],
-			[2,4,0,1,1,0],
-			[2,4,1,2,1,1],
-			[2,4,2,2,2,0],
-			[2,4,3,0,2,1],
-			[2,4,3,0,1,1],
-			[2,0,0,2,1,1],
-			[2,0,1,0,2,0],
-			[2,0,1,2,0,1],
-			[2,0,3,2,0,1],
-			[2,3,0,1,2,1],
-			[2,3,0,1,0,1],
-			[2,3,2,2,2,1],
-			[2,1,0,0,2,0],
-			[2,1,2,2,0,1],
-			[2,1,3,1,1,0],
-			[2,1,3,2,1,0],
-			[2,5,0,0,1,0],
-			[2,5,0,1,2,0],
-			[2,5,0,2,0,1],
-			[2,5,1,0,1,0],
-			[2,5,2,0,1,1],
-			[2,5,2,2,2,1],
-			[2,5,2,2,1,1],
-			[2,5,3,0,1,0],
-			[2,5,3,2,0,0],
-			[2,2,0,0,2,0],
-			[2,2,0,1,1,1],
-			[2,2,0,2,2,0],
-			[2,2,1,0,2,1],
-			[2,2,1,0,1,0],
-			[2,2,1,2,2,1],
-			[2,2,1,2,0,1],
-			[2,2,3,1,2,0],
-			[2,2,3,2,2,0],
-			[3,4,0,0,0,1],
-			[3,4,3,0,2,0],
-			[3,4,3,2,1,1],
-			[3,0,0,0,0,1],
-			[3,0,0,1,1,1],
-			[3,0,2,0,0,1],
-			[3,0,2,2,1,1],
-			[3,0,2,2,0,1],
-			[3,3,0,0,0,0],
-			[3,3,0,1,1,1],
-			[3,3,0,2,0,0],
-			[3,3,1,0,0,0],
-			[3,1,0,2,2,1],
-			[3,1,2,0,2,0],
-			[3,1,2,1,1,1],
-			[3,1,3,1,2,0],
-			[3,1,3,1,0,1],
-			[3,5,0,2,0,1],
-			[3,5,0,2,0,0],
-			[3,5,2,2,1,1],
-			[3,5,3,2,2,1],
-			[3,5,3,2,2,0],
-			[3,5,3,2,1,1],
-			[3,2,0,0,1,0],
-			[3,2,0,0,0,0],
-			[3,2,0,2,2,0],
-			[3,2,1,2,2,1],
-			[3,2,1,2,0,1],
-			[3,2,2,0,2,0],
-			[4,4,0,0,0,1],
-			[4,4,0,2,2,1],
-			[4,4,1,0,2,0],
-			[4,4,1,0,0,0],
-			[4,4,1,2,0,1],
-			[4,4,3,0,0,0],
-			[4,0,0,2,1,1],
-			[4,0,3,2,2,1],
-			[4,3,0,0,2,0],
-			[4,3,0,2,1,1],
-			[4,3,2,0,0,0],
-			[4,1,0,2,1,1],
-			[4,1,1,0,0,1],
-			[4,1,1,2,1,1],
-			[4,1,2,0,2,1],
-			[4,1,2,0,2,0],
-			[4,1,2,2,0,1],
-			[4,5,0,2,0,0],
-			[4,5,1,2,0,0],
-			[4,5,2,2,0,1],
-			[4,5,3,1,0,1],
-			[4,2,0,2,2,1],
-			[4,2,1,2,1,1],
-			[5,4,1,0,2,0],
-			[5,4,2,0,0,1],
-			[5,4,2,1,2,0],
-			[5,4,3,1,1,1],
-			[5,0,1,2,2,1],
-			[5,3,2,2,2,0],
-			[5,3,3,1,0,1],
-			[5,3,3,1,0,0],
-			[5,1,1,0,0,0],
-			[5,1,2,1,2,1],
-			[5,1,2,2,1,0],
-			[5,5,0,1,1,1],
-			[5,5,0,1,0,1],
-			[5,5,0,2,1,0],
-			[5,5,0,2,0,1],
-			[5,5,1,0,1,1],
-			[5,5,2,0,0,0],
-			[5,5,3,1,0,1],
-			[5,2,1,1,0,0],
-			[5,2,2,1,0,1],
-			[5,2,2,1,0,0],
-			[0,0,1,0,0,1],
-			[0,0,2,0,0,1],
-			[0,3,0,0,1,1],
-			[0,3,0,1,0,0],
-			[0,3,1,1,0,0],
-			[0,3,1,2,0,0],
-			[0,3,2,1,0,0],
-			[0,5,1,1,1,1],
-			[0,5,1,1,0,0],
-			[0,2,1,2,0,1],
-			[1,4,0,0,1,1],
-			[1,4,0,0,0,0],
-			[1,4,0,2,0,0],
-			[1,4,1,2,1,0],
-			[1,4,2,0,2,1],
-			[1,4,2,2,1,1],
-			[1,4,3,0,0,0],
-			[1,0,0,1,0,1],
-			[1,0,1,2,0,1],
-			[1,0,2,0,1,0],
-			[1,0,3,0,0,0],
-			[1,3,1,1,2,0],
-			[1,3,1,2,2,1],
-			[1,1,1,0,1,0],
-			[1,1,2,1,2,1],
-			[1,1,2,2,0,1],
-			[1,1,3,1,0,0],
-			[1,5,0,2,0,1],
-			[1,5,1,1,2,1],
-			[1,5,2,0,2,1],
-			[1,5,2,1,2,1],
-			[1,5,2,2,1,0],
-			[1,2,1,1,2,1],
-			[1,2,1,1,1,1],
-			[1,2,2,0,2,0],
-			[1,2,2,1,1,1],
-			[2,4,0,0,0,1],
-			[2,4,0,0,0,0],
-			[2,4,1,2,2,0],
-			[2,4,2,0,2,0],
-			[2,0,0,0,2,0],
-			[2,0,0,1,2,1],
-			[2,0,1,1,1,1],
-			[2,0,2,0,2,1],
-			[2,0,2,0,2,0],
-			[2,0,2,2,1,1],
-			[2,0,3,0,0,1],
-			[2,0,3,1,2,1],
-			[2,3,0,0,2,1],
-			[2,3,0,0,2,0],
-			[2,3,0,1,2,0],
-			[2,3,0,2,0,1],
-			[2,3,1,0,1,1],
-			[2,3,2,0,2,0],
-			[2,3,2,2,1,1],
-			[2,3,3,2,2,0],
-			[2,1,0,0,1,1],
-			[2,1,1,0,2,1],
-			[2,1,1,0,2,0],
-			[2,1,1,0,1,1],
-			[2,1,2,1,2,1],
-			[2,1,2,1,1,1],
-			[2,5,0,2,1,0],
-			[2,5,1,0,2,0],
-			[2,5,2,0,2,0],
-			[2,5,2,1,2,1],
-			[2,5,2,2,1,0],
-			[2,5,3,0,1,1],
-			[2,5,3,1,1,1],
-			[2,5,3,1,1,0],
-			[2,5,3,2,2,1],
-			[2,5,3,2,1,0],
-			[2,2,0,0,1,1],
-			[2,2,0,0,0,0],
-			[2,2,0,1,2,0],
-			[2,2,0,2,2,1],
-			[2,2,0,2,0,1],
-			[2,2,1,2,0,0],
-			[2,2,2,0,2,0],
-			[2,2,2,2,2,1],
-			[2,2,2,2,1,1],
-			[3,4,0,0,1,1],
-			[3,4,0,2,2,1],
-			[3,4,1,0,2,0],
-			[3,4,3,2,2,0],
-			[3,0,0,2,1,1],
-			[3,0,3,0,2,0],
-			[3,0,3,0,0,1],
-			[3,0,3,1,1,1],
-			[3,0,3,2,2,1],
-			[3,3,0,2,0,1],
-			[3,1,0,2,1,1],
-			[3,1,0,2,0,1],
-			[3,1,2,0,1,1],
-			[3,1,2,0,0,1],
-			[3,1,3,0,1,0],
-			[3,1,3,1,2,1],
-			[3,1,3,1,1,1],
-			[3,1,3,2,0,0],
-			[3,5,0,2,2,0],
-			[3,5,0,2,1,1],
-			[3,5,1,2,2,0],
-			[3,5,2,0,2,0],
-			[3,5,3,1,0,1],
-			[3,2,1,2,1,1],
-			[4,4,0,0,1,1],
-			[4,4,0,0,1,0],
-			[4,4,0,1,0,1],
-			[4,4,0,1,0,0],
-			[4,4,0,2,1,1],
-			[4,4,3,0,2,0],
-			[4,0,0,0,1,1],
-			[4,0,1,0,1,1],
-			[4,0,1,0,0,1],
-			[4,0,1,2,1,1],
-			[4,0,2,2,0,1],
-			[4,0,3,0,1,1],
-			[4,0,3,2,1,1],
-			[4,3,0,0,0,1],
-			[4,3,0,1,1,1],
-			[4,3,0,1,0,0],
-			[4,1,0,0,2,0],
-			[4,1,2,2,2,1],
-			[4,1,2,2,0,0],
-			[4,1,3,2,2,0],
-			[4,5,3,0,1,1],
-			[4,5,3,2,1,1],
-			[4,5,3,2,1,0],
-			[4,5,3,2,0,1],
-			[4,2,0,0,0,0],
-			[4,2,0,2,1,1],
-			[4,2,1,2,0,1],
-			[4,2,1,2,0,0],
-			[5,4,0,0,2,0],
-			[5,4,0,0,1,0],
-			[5,4,0,1,0,1],
-			[5,4,0,2,1,0],
-			[5,4,1,2,2,1],
-			[5,4,1,2,1,0],
-			[5,4,2,0,2,0],
-			[5,4,2,1,0,0],
-			[5,4,2,2,2,1],
-			[5,4,3,0,1,1],
-			[5,4,3,1,0,0],
-			[5,0,0,2,2,1],
-			[5,0,1,0,1,1],
-			[5,0,1,0,0,0],
-			[5,0,2,1,2,1],
-			[5,0,2,1,0,0],
-			[5,0,2,2,2,1],
-			[5,0,3,0,2,1],
-			[5,0,3,0,0,0],
-			[5,0,3,1,2,0],
-			[5,3,0,0,2,0],
-			[5,3,0,1,2,0],
-			[5,3,0,2,2,1],
-			[5,3,1,0,0,1],
-			[5,3,1,2,1,1],
-			[5,3,1,2,0,1],
-			[5,3,2,0,1,1],
-			[5,3,2,1,1,1],
-			[5,3,2,1,0,1],
-			[5,3,2,2,1,1],
-			[5,3,3,0,1,1],
-			[5,3,3,0,0,0],
-			[5,3,3,1,1,1],
-			[5,3,3,2,0,1],
-			[5,1,0,0,2,0],
-			[5,1,0,0,0,0],
-			[5,1,0,1,1,1],
-			[5,1,0,1,0,1],
-			[5,1,0,1,0,0],
-			[5,1,1,0,1,1],
-			[5,1,1,1,0,1],
-			[5,1,3,0,1,0],
-			[5,5,1,1,0,1],
-			[5,5,1,1,0,0],
-			[5,5,1,2,1,0],
-			[5,5,2,0,1,1],
-			[5,5,2,2,2,0],
-			[5,5,2,2,1,0],
-			[5,5,3,0,2,0],
-			[5,2,0,1,0,0],
-			[5,2,0,2,2,0],
-			[5,2,1,0,0,0],
-			[5,2,1,1,1,1],
-			[5,2,2,2,2,1],
-			[5,2,2,2,2,0],
-			[5,2,2,2,1,1],
-			[5,2,3,1,0,1],
-			[5,2,3,2,1,1],
-			[0,4,0,1,0,1],
-			[0,4,1,1,1,1],
-			[0,4,2,1,2,1],
-			[0,4,2,2,0,0],
-			[0,0,0,1,1,0],
-			[0,0,0,2,0,1],
-			[0,0,1,0,1,0],
-			[0,0,1,2,0,0],
-			[0,0,2,1,0,1],
-			[0,3,0,2,0,1],
-			[0,3,0,2,0,0],
-			[0,3,1,0,1,1],
-			[0,3,1,1,1,1],
-			[0,3,2,1,0,1],
-			[0,3,2,2,0,1],
-			[0,3,2,2,0,0],
-			[0,1,0,1,1,0],
-			[0,1,0,1,0,1],
-			[0,1,0,2,0,0],
-			[0,1,1,1,1,0],
-			[0,1,1,2,0,1],
-			[0,1,1,2,0,0],
-			[0,5,0,0,1,0],
-			[0,5,0,1,2,0],
-			[0,5,0,1,1,0],
-			[0,5,1,1,2,0],
-			[0,5,1,2,0,1],
-			[0,5,1,2,0,0],
-			[0,5,2,0,2,0],
-			[0,2,0,1,2,0],
-			[0,2,1,0,2,0],
-			[0,2,1,1,2,0],
-			[0,2,1,1,1,0],
-			[0,2,1,2,0,0],
-			[0,2,3,2,0,1],
-			[1,4,0,1,2,1],
-			[1,4,1,2,2,1],
-			[1,4,2,0,2,0],
-			[1,4,2,1,2,0],
-			[1,4,2,2,2,0],
-			[1,4,3,0,1,1],
-			[1,4,3,2,0,1],
-			[1,0,0,0,0,1],
-			[1,0,1,0,2,0],
-			[1,0,1,1,2,1],
-			[1,0,1,1,1,1],
-			[1,0,3,1,0,0],
-			[1,0,3,2,0,0],
-			[1,3,0,1,2,1],
-			[1,3,0,1,1,1],
-			[1,3,0,2,2,0],
-			[1,3,0,2,1,1],
-			[1,3,0,2,1,0],
-			[1,3,0,2,0,1],
-			[1,3,0,2,0,0],
-			[1,3,1,0,1,1],
-			[1,3,1,2,2,0],
-			[1,3,2,2,2,1],
-			[1,3,3,0,1,1],
-			[1,3,3,0,1,0],
-			[1,3,3,1,1,0],
-			[1,1,1,0,2,0],
-			[1,1,1,2,2,0],
-			[1,1,3,0,0,1],
-			[1,1,3,0,0,0],
-			[1,1,3,2,1,0],
-			[1,5,0,0,2,0],
-			[1,5,0,0,1,0],
-			[1,5,0,2,2,1],
-			[1,5,1,0,2,0],
-			[1,5,1,2,1,0],
-			[1,5,2,0,1,1],
-			[1,5,2,2,1,1],
-			[1,2,0,0,2,1],
-			[1,2,0,0,1,1],
-			[1,2,0,2,1,1],
-			[1,2,0,2,0,0],
-			[1,2,1,0,2,1],
-			[1,2,1,0,2,0],
-			[1,2,1,1,1,0],
-			[1,2,1,2,1,1],
-			[1,2,2,1,2,1],
-			[1,2,2,1,1,0],
-			[1,2,3,0,1,0],
-			[1,2,3,1,1,1],
-			[1,2,3,2,0,1],
-			[2,4,0,0,2,1],
-			[2,4,0,2,2,1],
-			[2,4,0,2,1,0],
-			[2,4,0,2,0,0],
-			[2,4,3,0,2,0],
-			[2,4,3,1,2,0],
-			[2,4,3,2,2,1],
-			[2,4,3,2,2,0],
-			[2,4,3,2,1,1],
-			[2,0,0,0,0,1],
-			[2,0,0,1,1,1],
-			[2,0,1,0,1,1],
-			[2,0,2,0,0,1],
-			[2,0,2,1,1,1],
-			[2,0,3,0,1,0],
-			[2,0,3,1,2,0],
-			[2,0,3,2,2,0],
-			[2,0,3,2,1,1],
-			[2,3,0,0,1,0],
-			[2,3,0,0,0,0],
-			[2,3,0,1,1,1],
-			[2,1,0,0,2,1],
-			[2,1,0,2,2,1],
-			[2,1,0,2,1,1],
-			[2,1,0,2,0,1],
-			[2,1,1,2,2,1],
-			[2,1,1,2,1,1],
-			[2,1,2,0,2,1],
-			[2,1,2,0,2,0],
-			[2,1,2,2,1,1],
-			[2,1,3,0,2,1],
-			[2,1,3,0,1,0],
-			[2,1,3,0,0,1],
-			[2,1,3,1,2,0],
-			[2,5,0,2,2,1],
-			[2,5,0,2,2,0],
-			[2,5,1,2,2,0],
-			[2,5,1,2,1,1],
-			[2,5,2,2,2,0],
-			[2,5,3,1,2,1],
-			[2,5,3,2,2,0],
-			[2,2,0,0,1,0],
-			[2,2,0,2,0,0],
-			[2,2,1,0,2,0],
-			[2,2,1,1,2,0],
-			[2,2,1,2,2,0],
-			[2,2,2,2,2,0],
-			[2,2,3,0,2,0],
-			[3,4,0,0,2,1],
-			[3,4,0,2,2,0],
-			[3,4,0,2,0,1],
-			[3,0,0,0,2,1],
-			[3,0,0,2,0,1],
-			[3,0,3,0,2,1],
-			[3,0,3,0,1,1],
-			[3,0,3,1,2,1],
-			[3,0,3,2,1,1],
-			[3,3,0,2,1,1],
-			[3,1,0,0,1,1],
-			[3,1,3,0,2,0],
-			[3,1,3,0,1,1],
-			[3,1,3,0,0,1],
-			[3,1,3,2,0,1],
-			[3,5,3,0,2,0],
-			[3,2,0,0,2,0],
-			[3,2,0,2,0,1],
-			[3,2,0,2,0,0],
-			[4,4,0,2,2,0],
-			[4,0,0,0,0,1],
-			[4,0,0,1,0,1],
-			[4,0,2,0,0,1],
-			[4,0,2,2,1,1],
-			[4,0,3,0,2,1],
-			[4,0,3,0,0,1],
-			[4,0,3,1,1,1],
-			[4,3,0,2,0,1],
-			[4,3,0,2,0,0],
-			[4,1,0,2,0,1],
-			[4,1,1,2,0,1],
-			[4,1,2,0,0,0],
-			[4,1,3,0,2,1],
-			[4,1,3,0,2,0],
-			[4,1,3,0,0,1],
-			[4,1,3,0,0,0],
-			[4,1,3,1,1,1],
-			[4,1,3,1,0,1],
-			[4,1,3,2,2,1],
-			[4,1,3,2,1,1],
-			[4,5,3,0,0,0],
-			[4,5,3,1,1,1],
-			[4,2,0,0,0,1],
-			[4,2,0,1,0,0],
-			[4,2,0,2,0,1],
-			[4,2,0,2,0,0],
-			[5,4,0,0,1,1],
-			[5,4,0,1,0,0],
-			[5,4,0,2,2,1],
-			[5,4,0,2,0,1],
-			[5,4,1,1,0,0],
-			[5,4,1,2,1,1],
-			[5,4,2,0,0,0],
-			[5,4,3,0,0,1],
-			[5,4,3,1,0,1],
-			[5,4,3,2,1,0],
-			[5,0,0,1,1,1],
-			[5,0,0,2,1,1],
-			[5,0,1,1,1,1],
-			[5,0,1,2,0,0],
-			[5,0,2,1,0,1],
-			[5,0,3,1,0,0],
-			[5,0,3,2,2,0],
-			[5,0,3,2,0,0],
-			[5,3,0,0,1,1],
-			[5,3,0,0,0,1],
-			[5,3,0,2,1,1],
-			[5,3,0,2,0,0],
-			[5,3,1,1,0,0],
-			[5,3,2,0,0,1],
-			[5,3,2,0,0,0],
-			[5,3,2,1,0,0],
-			[5,3,2,2,0,0],
-			[5,3,3,0,0,1],
-			[5,1,0,0,1,1],
-			[5,1,0,0,0,1],
-			[5,1,0,2,2,1],
-			[5,1,0,2,1,1],
-			[5,1,0,2,0,0],
-			[5,1,1,1,1,1],
-			[5,1,1,1,0,0],
-			[5,1,2,0,2,1],
-			[5,1,2,0,2,0],
-			[5,1,2,1,0,1],
-			[5,1,3,0,2,0],
-			[5,1,3,1,2,1],
-			[5,1,3,1,2,0],
-			[5,1,3,1,0,0],
-			[5,1,3,2,1,0],
-			[5,5,0,0,0,1],
-			[5,5,0,2,2,0],
-			[5,5,0,2,0,0],
-			[5,5,1,0,0,0],
-			[5,5,1,2,0,1],
-			[5,5,2,0,2,0],
-			[5,5,2,1,0,1],
-			[5,5,2,2,2,1],
-			[5,5,2,2,0,1],
-			[5,5,3,0,0,1],
-			[5,5,3,1,2,1],
-			[5,5,3,1,1,0],
-			[5,5,3,2,1,0],
-			[5,2,0,0,0,1],
-			[5,2,0,1,1,1],
-			[5,2,0,1,0,1],
-			[5,2,0,2,0,0],
-			[5,2,1,0,0,1],
-			[5,2,1,1,0,1],
-			[5,2,2,1,1,1],
-			[5,2,2,2,0,1],
-			[5,2,2,2,0,0]
-		],
-		"cellFrequencies": [795,758,647,579,555,504,491,467,466,464,434,431,384,367,320,317,315,313,307,307,295,291,284,279,266,250,226,220,217,212,204,197,194,194,192,187,182,179,170,168,165,162,162,160,159,155,155,152,152,152,150,143,138,138,137,137,133,132,131,131,130,129,129,128,128,127,126,125,125,123,122,122,121,121,120,119,119,118,117,116,116,112,110,109,108,107,105,105,105,104,104,102,102,100,99,99,98,97,96,96,96,96,94,93,93,93,92,92,92,92,91,88,88,87,87,86,85,84,84,84,83,83,83,83,83,83,81,80,80,80,79,79,79,79,79,77,77,76,76,75,75,74,73,73,73,72,72,72,72,71,71,70,70,69,69,69,69,69,69,69,68,68,68,67,67,67,67,66,66,66,65,65,64,64,63,63,63,63,63,62,62,62,61,61,61,61,61,60,60,60,59,59,59,59,59,59,59,59,58,58,58,58,58,58,58,58,58,58,58,58,57,57,57,57,56,56,56,56,56,56,56,56,55,55,55,54,54,54,53,53,53,53,53,53,53,53,53,52,52,52,52,52,52,51,51,51,51,51,50,50,50,50,49,49,49,49,49,49,49,48,48,48,48,48,48,48,48,47,47,47,47,47,47,47,46,46,46,46,46,46,46,45,45,45,45,45,45,45,45,45,45,44,44,43,43,43,43,43,43,43,43,43,42,42,42,42,41,41,41,41,41,40,40,40,40,40,40,40,40,40,40,40,39,39,39,39,38,38,38,38,38,38,38,37,37,37,37,37,37,37,37,37,36,36,36,36,36,36,36,36,35,35,35,35,35,35,35,35,35,35,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,33,33,33,33,32,32,32,32,32,32,32,31,31,31,31,31,31,31,31,31,31,30,30,30,30,30,30,30,30,30,30,30,30,30,30,29,29,29,29,29,29,29,29,29,29,29,29,28,28,28,28,28,28,28,28,28,28,28,28,27,27,27,27,27,27,27,27,27,27,26,26,26,26,26,26,26,26,26,26,26,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,24,24,24,24,24,24,24,24,24,24,24,23,23,23,23,23,23,23,23,23,23,23,23,23,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
-	}
-}
diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj
index fbf23b77..8493ef65 100644
--- a/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj
index f4a4eaba..98338e40 100644
--- a/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj
index 9ac288f4..76065747 100644
--- a/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj
index 91aa08b6..d9bd98c8 100644
--- a/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj
index a9dca193..97673183 100644
--- a/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/Iris.khcj b/tests/resources/coclustering_results/ref_json_reports/Iris.khcj
index 8c9ddac8..7f8b99ad 100644
--- a/tests/resources/coclustering_results/ref_json_reports/Iris.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/Iris.khcj
@@ -1,299 +1,299 @@
-{
-	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"coclusteringReport": {
-		"summary": {
-			"instances": 150,
-			"cells": 7,
-			"nullCost": 1379.668177,
-			"cost": 1164.273132,
-			"level": 0.1561209056,
-			"initialDimensions": 3,
-			"frequencyVariable": "",
-			"dictionary": "Iris",
-			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
-			"samplePercentage": 100,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": ""
-		},
-		"dimensionSummaries": [
-			{
-				"name": "PetalLength",
-				"type": "Numerical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 150,
-				"interest": 1,
-				"description": "",
-				"min": 1,
-				"max": 6.9
-			},
-			{
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 150,
-				"interest": 1,
-				"description": "",
-				"min": 0.1,
-				"max": 2.5
-			},
-			{
-				"name": "Class",
-				"type": "Categorical",
-				"parts": 3,
-				"initialParts": 3,
-				"values": 3,
-				"interest": 1,
-				"description": ""
-			}
-		],
-		"dimensionPartitions": [
-			{
-				"name": "PetalLength",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;2.4]",
-						"bounds": [1,2.4]
-					},
-					{
-						"cluster": "]2.4;4.75]",
-						"bounds": [2.4,4.75]
-					},
-					{
-						"cluster": "]4.75;+inf[",
-						"bounds": [4.75,6.9]
-					}
-				]
-			},
-			{
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"intervals": [
-					{
-						"cluster": "]-inf;0.8]",
-						"bounds": [0.1,0.8]
-					},
-					{
-						"cluster": "]0.8;1.75]",
-						"bounds": [0.8,1.75]
-					},
-					{
-						"cluster": "]1.75;+inf[",
-						"bounds": [1.75,2.5]
-					}
-				]
-			},
-			{
-				"name": "Class",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{Iris-setosa}",
-						"values": ["Iris-setosa"],
-						"valueFrequencies": [50],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Iris-versicolor}",
-						"values": ["Iris-versicolor"],
-						"valueFrequencies": [50],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{Iris-virginica}",
-						"values": ["Iris-virginica"],
-						"valueFrequencies": [50],
-						"valueTypicalities": [1]
-					}
-				],
-				"defaultGroupIndex": 2
-			}
-		],
-		"dimensionHierarchies": [
-			{
-				"name": "PetalLength",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;2.4]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 50,
-						"interest": 0.557285,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]2.4;4.75]",
-						"parentCluster": "]2.4;+inf[",
-						"frequency": 45,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]4.75;+inf[",
-						"parentCluster": "]2.4;+inf[",
-						"frequency": 55,
-						"interest": 0.442715,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 150,
-						"interest": 0.648091,
-						"hierarchicalLevel": -0.0145257,
-						"rank": 2,
-						"hierarchicalRank": 4,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]2.4;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 100,
-						"interest": 0.693493,
-						"hierarchicalLevel": 0.856289,
-						"rank": 4,
-						"hierarchicalRank": 8,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "PetalWidth",
-				"type": "Numerical",
-				"clusters": [
-					{
-						"cluster": "]-inf;0.8]",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 50,
-						"interest": 0.569949,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]0.8;1.75]",
-						"parentCluster": "]0.8;+inf[",
-						"frequency": 54,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]1.75;+inf[",
-						"parentCluster": "]0.8;+inf[",
-						"frequency": 46,
-						"interest": 0.430051,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "]-inf;+inf[",
-						"parentCluster": "",
-						"frequency": 150,
-						"interest": 0.681865,
-						"hierarchicalLevel": 0.374198,
-						"rank": 2,
-						"hierarchicalRank": 5,
-						"isLeaf": false
-					},
-					{
-						"cluster": "]0.8;+inf[",
-						"parentCluster": "]-inf;+inf[",
-						"frequency": 100,
-						"interest": 0.737824,
-						"hierarchicalLevel": 0.704564,
-						"rank": 4,
-						"hierarchicalRank": 7,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "Class",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{Iris-setosa}",
-						"parentCluster": "C1",
-						"frequency": 50,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Iris-versicolor}",
-						"parentCluster": "C4",
-						"frequency": 50,
-						"interest": 0.912663,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{Iris-virginica}",
-						"parentCluster": "C4",
-						"frequency": 50,
-						"interest": 0.912663,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 9,
-						"isLeaf": true
-					},
-					{
-						"cluster": "C1",
-						"parentCluster": "",
-						"frequency": 150,
-						"interest": 0.941775,
-						"hierarchicalLevel": 0,
-						"rank": 2,
-						"hierarchicalRank": 3,
-						"isLeaf": false
-					},
-					{
-						"cluster": "C4",
-						"parentCluster": "C1",
-						"frequency": 100,
-						"interest": 0.912663,
-						"hierarchicalLevel": 0.739904,
-						"rank": 4,
-						"hierarchicalRank": 6,
-						"isLeaf": false
-					}
-				]
-			}
-		],
-		"cellPartIndexes": [
-			[0,0,0],
-			[2,2,2],
-			[1,1,1],
-			[2,1,1],
-			[2,1,2],
-			[1,1,2],
-			[2,2,1]
-		],
-		"cellFrequencies": [50,45,44,5,4,1,1]
-	},
-	"khiops_encoding": "ascii"
-}
+{
+	"tool": "Khiops Coclustering",
+	"version": "VERSION",
+	"shortDescription": "",
+	"coclusteringReport": {
+		"summary": {
+			"instances": 150,
+			"cells": 7,
+			"nullCost": 1379.668177,
+			"cost": 1164.273132,
+			"level": 0.1561209056,
+			"initialDimensions": 3,
+			"frequencyVariable": "",
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": ""
+		},
+		"dimensionSummaries": [
+			{
+				"name": "PetalLength",
+				"type": "Numerical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 150,
+				"interest": 1,
+				"description": "",
+				"min": 1,
+				"max": 6.9
+			},
+			{
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 150,
+				"interest": 1,
+				"description": "",
+				"min": 0.1,
+				"max": 2.5
+			},
+			{
+				"name": "Class",
+				"type": "Categorical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 3,
+				"interest": 1,
+				"description": ""
+			}
+		],
+		"dimensionPartitions": [
+			{
+				"name": "PetalLength",
+				"type": "Numerical",
+				"intervals": [
+					{
+						"cluster": "]-inf;2.4]",
+						"bounds": [1,2.4]
+					},
+					{
+						"cluster": "]2.4;4.75]",
+						"bounds": [2.4,4.75]
+					},
+					{
+						"cluster": "]4.75;+inf[",
+						"bounds": [4.75,6.9]
+					}
+				]
+			},
+			{
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"intervals": [
+					{
+						"cluster": "]-inf;0.8]",
+						"bounds": [0.1,0.8]
+					},
+					{
+						"cluster": "]0.8;1.75]",
+						"bounds": [0.8,1.75]
+					},
+					{
+						"cluster": "]1.75;+inf[",
+						"bounds": [1.75,2.5]
+					}
+				]
+			},
+			{
+				"name": "Class",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{Iris-setosa}",
+						"values": ["Iris-setosa"],
+						"valueFrequencies": [50],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Iris-versicolor}",
+						"values": ["Iris-versicolor"],
+						"valueFrequencies": [50],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{Iris-virginica}",
+						"values": ["Iris-virginica"],
+						"valueFrequencies": [50],
+						"valueTypicalities": [1]
+					}
+				],
+				"defaultGroupIndex": 2
+			}
+		],
+		"dimensionHierarchies": [
+			{
+				"name": "PetalLength",
+				"type": "Numerical",
+				"clusters": [
+					{
+						"cluster": "]-inf;2.4]",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 50,
+						"interest": 0.557285,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]2.4;4.75]",
+						"parentCluster": "]2.4;+inf[",
+						"frequency": 45,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]4.75;+inf[",
+						"parentCluster": "]2.4;+inf[",
+						"frequency": 55,
+						"interest": 0.442715,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]-inf;+inf[",
+						"parentCluster": "",
+						"frequency": 150,
+						"interest": 0.648091,
+						"hierarchicalLevel": -0.0145257,
+						"rank": 2,
+						"hierarchicalRank": 4,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]2.4;+inf[",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 100,
+						"interest": 0.693493,
+						"hierarchicalLevel": 0.856289,
+						"rank": 4,
+						"hierarchicalRank": 8,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"clusters": [
+					{
+						"cluster": "]-inf;0.8]",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 50,
+						"interest": 0.569949,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]0.8;1.75]",
+						"parentCluster": "]0.8;+inf[",
+						"frequency": 54,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]1.75;+inf[",
+						"parentCluster": "]0.8;+inf[",
+						"frequency": 46,
+						"interest": 0.430051,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "]-inf;+inf[",
+						"parentCluster": "",
+						"frequency": 150,
+						"interest": 0.681865,
+						"hierarchicalLevel": 0.374198,
+						"rank": 2,
+						"hierarchicalRank": 5,
+						"isLeaf": false
+					},
+					{
+						"cluster": "]0.8;+inf[",
+						"parentCluster": "]-inf;+inf[",
+						"frequency": 100,
+						"interest": 0.737824,
+						"hierarchicalLevel": 0.704564,
+						"rank": 4,
+						"hierarchicalRank": 7,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "Class",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{Iris-setosa}",
+						"parentCluster": "C1",
+						"frequency": 50,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Iris-versicolor}",
+						"parentCluster": "C4",
+						"frequency": 50,
+						"interest": 0.912663,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Iris-virginica}",
+						"parentCluster": "C4",
+						"frequency": 50,
+						"interest": 0.912663,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 9,
+						"isLeaf": true
+					},
+					{
+						"cluster": "C1",
+						"parentCluster": "",
+						"frequency": 150,
+						"interest": 0.941775,
+						"hierarchicalLevel": 0,
+						"rank": 2,
+						"hierarchicalRank": 3,
+						"isLeaf": false
+					},
+					{
+						"cluster": "C4",
+						"parentCluster": "C1",
+						"frequency": 100,
+						"interest": 0.912663,
+						"hierarchicalLevel": 0.739904,
+						"rank": 4,
+						"hierarchicalRank": 6,
+						"isLeaf": false
+					}
+				]
+			}
+		],
+		"cellPartIndexes": [
+			[0,0,0],
+			[2,2,2],
+			[1,1,1],
+			[2,1,1],
+			[2,1,2],
+			[1,1,2],
+			[2,2,1]
+		],
+		"cellFrequencies": [50,45,44,5,4,1,1]
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/coclustering_results/ref_json_reports/LatinGreek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/LatinGreek_Coclustering.khcj
index 34df73dd..59b9dbb6 100644
--- a/tests/resources/coclustering_results/ref_json_reports/LatinGreek_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/LatinGreek_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/Latin_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/Latin_Coclustering.khcj
index 490dbd99..cecdd9cc 100644
--- a/tests/resources/coclustering_results/ref_json_reports/Latin_Coclustering.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/Latin_Coclustering.khcj
@@ -1,6 +1,6 @@
 {
 	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
+	"version": "VERSION",
 	"shortDescription": "",
 	"coclusteringReport": {
 		"summary": {
diff --git a/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj b/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj
index e5ff62a6..0ace12c5 100644
--- a/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj
+++ b/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj
@@ -1,455 +1,455 @@
-{
-	"tool": "Khiops Coclustering",
-	"version": "10.0.0.3i",
-	"shortDescription": "",
-	"coclusteringReport": {
-		"summary": {
-			"instances": 8416,
-			"cells": 25,
-			"nullCost": 27983.3,
-			"cost": 24901.7,
-			"level": 0.1101228233,
-			"initialDimensions": 2,
-			"frequencyVariable": "",
-			"dictionary": "Mushroom",
-			"database": "C:\\Temp\\Mushroom\\Mushroom.txt",
-			"samplePercentage": 100,
-			"samplingMode": "Include sample",
-			"selectionVariable": "",
-			"selectionValue": ""
-		},
-		"dimensionSummaries": [
-			{
-				"name": "CapColor",
-				"type": "Categorical",
-				"parts": 7,
-				"initialParts": 7,
-				"values": 10,
-				"interest": 1,
-				"description": ""
-			},
-			{
-				"name": "Odor",
-				"type": "Categorical",
-				"parts": 7,
-				"initialParts": 7,
-				"values": 9,
-				"interest": 1,
-				"description": ""
-			}
-		],
-		"dimensionPartitions": [
-			{
-				"name": "CapColor",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{YELLOW}",
-						"values": ["YELLOW"],
-						"valueFrequencies": [1072],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{GRAY, BUFF}",
-						"values": ["GRAY","BUFF"],
-						"valueFrequencies": [2096,168],
-						"valueTypicalities": [1,0.186724]
-					},
-					{
-						"cluster": "{WHITE}",
-						"values": ["WHITE"],
-						"valueFrequencies": [1040],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{PINK}",
-						"values": ["PINK"],
-						"valueFrequencies": [144],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{CINNAMON, GREEN, PURPLE}",
-						"values": ["CINNAMON","GREEN","PURPLE"],
-						"valueFrequencies": [44,16,16],
-						"valueTypicalities": [1,0.32908,0.286005]
-					},
-					{
-						"cluster": "{RED}",
-						"values": ["RED"],
-						"valueFrequencies": [1500],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{BROWN}",
-						"values": ["BROWN"],
-						"valueFrequencies": [2320],
-						"valueTypicalities": [1]
-					}
-				],
-				"defaultGroupIndex": 6
-			},
-			{
-				"name": "Odor",
-				"type": "Categorical",
-				"valueGroups": [
-					{
-						"cluster": "{ALMOND, ANISE}",
-						"values": ["ALMOND","ANISE"],
-						"valueFrequencies": [400,400],
-						"valueTypicalities": [1,1]
-					},
-					{
-						"cluster": "{FOUL}",
-						"values": ["FOUL"],
-						"valueFrequencies": [2160],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{FISHY, SPICY}",
-						"values": ["FISHY","SPICY"],
-						"valueFrequencies": [576,576],
-						"valueTypicalities": [1,1]
-					},
-					{
-						"cluster": "{MUSTY}",
-						"values": ["MUSTY"],
-						"valueFrequencies": [48],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{NONE}",
-						"values": ["NONE"],
-						"valueFrequencies": [3808],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{CREOSOTE}",
-						"values": ["CREOSOTE"],
-						"valueFrequencies": [192],
-						"valueTypicalities": [1]
-					},
-					{
-						"cluster": "{PUNGENT}",
-						"values": ["PUNGENT"],
-						"valueFrequencies": [256],
-						"valueTypicalities": [1]
-					}
-				],
-				"defaultGroupIndex": 6
-			}
-		],
-		"dimensionHierarchies": [
-			{
-				"name": "CapColor",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{YELLOW}",
-						"parentCluster": "A2",
-						"frequency": 1072,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Jaune"
-					},
-					{
-						"cluster": "{GRAY, BUFF}",
-						"parentCluster": "A6",
-						"frequency": 2264,
-						"interest": 0.739123,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Gris",
-						"description": "Gris¤comme¤Gandalf"
-					},
-					{
-						"cluster": "{WHITE}",
-						"parentCluster": "A9",
-						"frequency": 1040,
-						"interest": 0.626873,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Blanc",
-						"description": "Blanc¤comme¤Saruman"
-					},
-					{
-						"cluster": "{PINK}",
-						"parentCluster": "A12",
-						"frequency": 144,
-						"interest": 0.276019,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Rose"
-					},
-					{
-						"cluster": "{CINNAMON, GREEN, PURPLE}",
-						"parentCluster": "A12",
-						"frequency": 76,
-						"interest": 0.14494,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Cannelle"
-					},
-					{
-						"cluster": "{RED}",
-						"parentCluster": "A10",
-						"frequency": 1500,
-						"interest": 0.680039,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Rouge",
-						"description": "Rouge!!!°Ah¤la¤la,¤ça¤craint..."
-					},
-					{
-						"cluster": "{BROWN}",
-						"parentCluster": "A10",
-						"frequency": 2320,
-						"interest": 0.668346,
-						"hierarchicalLevel": 1,
-						"rank": 13,
-						"hierarchicalRank": 14,
-						"isLeaf": true,
-						"shortDescription": "Brun"
-					},
-					{
-						"cluster": "A2",
-						"parentCluster": "",
-						"frequency": 8416,
-						"interest": 0.71515,
-						"hierarchicalLevel": -0.00326863,
-						"rank": 2,
-						"hierarchicalRank": 3,
-						"isLeaf": false
-					},
-					{
-						"cluster": "A6",
-						"parentCluster": "A3",
-						"frequency": 3524,
-						"interest": 0.674258,
-						"hierarchicalLevel": 0.651661,
-						"rank": 4,
-						"hierarchicalRank": 7,
-						"isLeaf": false
-					},
-					{
-						"cluster": "A9",
-						"parentCluster": "A6",
-						"frequency": 1260,
-						"interest": 0.557706,
-						"hierarchicalLevel": 0.895619,
-						"rank": 6,
-						"hierarchicalRank": 10,
-						"isLeaf": false
-					},
-					{
-						"cluster": "A12",
-						"parentCluster": "A9",
-						"frequency": 220,
-						"interest": 0.230737,
-						"hierarchicalLevel": 0.995743,
-						"rank": 8,
-						"hierarchicalRank": 13,
-						"isLeaf": false
-					},
-					{
-						"cluster": "A3",
-						"parentCluster": "A2",
-						"frequency": 7344,
-						"interest": 0.673571,
-						"hierarchicalLevel": 0.358859,
-						"rank": 10,
-						"hierarchicalRank": 4,
-						"isLeaf": false
-					},
-					{
-						"cluster": "A10",
-						"parentCluster": "A3",
-						"frequency": 3820,
-						"interest": 0.672937,
-						"hierarchicalLevel": 0.942919,
-						"rank": 12,
-						"hierarchicalRank": 11,
-						"isLeaf": false
-					}
-				]
-			},
-			{
-				"name": "Odor",
-				"type": "Categorical",
-				"clusters": [
-					{
-						"cluster": "{ALMOND, ANISE}",
-						"parentCluster": "B5",
-						"frequency": 800,
-						"interest": 0.91958,
-						"hierarchicalLevel": 1,
-						"rank": 1,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{FOUL}",
-						"parentCluster": "B5",
-						"frequency": 2160,
-						"interest": 0.876044,
-						"hierarchicalLevel": 1,
-						"rank": 3,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{FISHY, SPICY}",
-						"parentCluster": "B11",
-						"frequency": 1152,
-						"interest": 1,
-						"hierarchicalLevel": 1,
-						"rank": 5,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{MUSTY}",
-						"parentCluster": "B11",
-						"frequency": 48,
-						"interest": 0.145564,
-						"hierarchicalLevel": 1,
-						"rank": 7,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{NONE}",
-						"parentCluster": "B7",
-						"frequency": 3808,
-						"interest": 0.865195,
-						"hierarchicalLevel": 1,
-						"rank": 9,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{CREOSOTE}",
-						"parentCluster": "B8",
-						"frequency": 192,
-						"interest": 0.46277,
-						"hierarchicalLevel": 1,
-						"rank": 11,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "{PUNGENT}",
-						"parentCluster": "B8",
-						"frequency": 256,
-						"interest": 0.378504,
-						"hierarchicalLevel": 1,
-						"rank": 13,
-						"hierarchicalRank": 14,
-						"isLeaf": true
-					},
-					{
-						"cluster": "B5",
-						"parentCluster": "B1",
-						"frequency": 2960,
-						"interest": 0.88781,
-						"hierarchicalLevel": 0.633019,
-						"rank": 2,
-						"hierarchicalRank": 6,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B1",
-						"parentCluster": "",
-						"frequency": 8416,
-						"interest": 0.863512,
-						"hierarchicalLevel": 0,
-						"rank": 4,
-						"hierarchicalRank": 2,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B11",
-						"parentCluster": "B4",
-						"frequency": 1200,
-						"interest": 0.965823,
-						"hierarchicalLevel": 0.98921,
-						"rank": 6,
-						"hierarchicalRank": 12,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B4",
-						"parentCluster": "B1",
-						"frequency": 5456,
-						"interest": 0.85033,
-						"hierarchicalLevel": 0.405738,
-						"rank": 8,
-						"hierarchicalRank": 5,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B7",
-						"parentCluster": "B4",
-						"frequency": 4256,
-						"interest": 0.817766,
-						"hierarchicalLevel": 0.80499,
-						"rank": 10,
-						"hierarchicalRank": 8,
-						"isLeaf": false
-					},
-					{
-						"cluster": "B8",
-						"parentCluster": "B7",
-						"frequency": 448,
-						"interest": 0.414618,
-						"hierarchicalLevel": 0.859857,
-						"rank": 12,
-						"hierarchicalRank": 9,
-						"isLeaf": false
-					}
-				]
-			}
-		],
-		"cellPartIndexes": [
-			[1,4],
-			[6,4],
-			[1,1],
-			[0,1],
-			[5,4],
-			[6,2],
-			[5,2],
-			[2,4],
-			[0,0],
-			[2,0],
-			[6,1],
-			[5,1],
-			[6,6],
-			[2,6],
-			[6,0],
-			[2,1],
-			[3,4],
-			[4,4],
-			[1,5],
-			[3,5],
-			[2,5],
-			[6,3],
-			[0,4],
-			[4,3],
-			[5,3]
-		],
-		"cellFrequencies": [1360,1208,840,648,624,576,576,448,400,304,288,288,128,128,96,96,80,64,64,64,64,24,24,12,12]
-	},
-	"khiops_encoding": "utf8"
-}
+{
+	"tool": "Khiops Coclustering",
+	"version": "VERSION",
+	"shortDescription": "",
+	"coclusteringReport": {
+		"summary": {
+			"instances": 8416,
+			"cells": 25,
+			"nullCost": 27983.3,
+			"cost": 24901.7,
+			"level": 0.1101228233,
+			"initialDimensions": 2,
+			"frequencyVariable": "",
+			"dictionary": "Mushroom",
+			"database": "C:\\Temp\\Mushroom\\Mushroom.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": ""
+		},
+		"dimensionSummaries": [
+			{
+				"name": "CapColor",
+				"type": "Categorical",
+				"parts": 7,
+				"initialParts": 7,
+				"values": 10,
+				"interest": 1,
+				"description": ""
+			},
+			{
+				"name": "Odor",
+				"type": "Categorical",
+				"parts": 7,
+				"initialParts": 7,
+				"values": 9,
+				"interest": 1,
+				"description": ""
+			}
+		],
+		"dimensionPartitions": [
+			{
+				"name": "CapColor",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{YELLOW}",
+						"values": ["YELLOW"],
+						"valueFrequencies": [1072],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{GRAY, BUFF}",
+						"values": ["GRAY","BUFF"],
+						"valueFrequencies": [2096,168],
+						"valueTypicalities": [1,0.186724]
+					},
+					{
+						"cluster": "{WHITE}",
+						"values": ["WHITE"],
+						"valueFrequencies": [1040],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{PINK}",
+						"values": ["PINK"],
+						"valueFrequencies": [144],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{CINNAMON, GREEN, PURPLE}",
+						"values": ["CINNAMON","GREEN","PURPLE"],
+						"valueFrequencies": [44,16,16],
+						"valueTypicalities": [1,0.32908,0.286005]
+					},
+					{
+						"cluster": "{RED}",
+						"values": ["RED"],
+						"valueFrequencies": [1500],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{BROWN}",
+						"values": ["BROWN"],
+						"valueFrequencies": [2320],
+						"valueTypicalities": [1]
+					}
+				],
+				"defaultGroupIndex": 6
+			},
+			{
+				"name": "Odor",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{ALMOND, ANISE}",
+						"values": ["ALMOND","ANISE"],
+						"valueFrequencies": [400,400],
+						"valueTypicalities": [1,1]
+					},
+					{
+						"cluster": "{FOUL}",
+						"values": ["FOUL"],
+						"valueFrequencies": [2160],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{FISHY, SPICY}",
+						"values": ["FISHY","SPICY"],
+						"valueFrequencies": [576,576],
+						"valueTypicalities": [1,1]
+					},
+					{
+						"cluster": "{MUSTY}",
+						"values": ["MUSTY"],
+						"valueFrequencies": [48],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{NONE}",
+						"values": ["NONE"],
+						"valueFrequencies": [3808],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{CREOSOTE}",
+						"values": ["CREOSOTE"],
+						"valueFrequencies": [192],
+						"valueTypicalities": [1]
+					},
+					{
+						"cluster": "{PUNGENT}",
+						"values": ["PUNGENT"],
+						"valueFrequencies": [256],
+						"valueTypicalities": [1]
+					}
+				],
+				"defaultGroupIndex": 6
+			}
+		],
+		"dimensionHierarchies": [
+			{
+				"name": "CapColor",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{YELLOW}",
+						"parentCluster": "A2",
+						"frequency": 1072,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Jaune"
+					},
+					{
+						"cluster": "{GRAY, BUFF}",
+						"parentCluster": "A6",
+						"frequency": 2264,
+						"interest": 0.739123,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Gris",
+						"description": "Gris¤comme¤Gandalf"
+					},
+					{
+						"cluster": "{WHITE}",
+						"parentCluster": "A9",
+						"frequency": 1040,
+						"interest": 0.626873,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Blanc",
+						"description": "Blanc¤comme¤Saruman"
+					},
+					{
+						"cluster": "{PINK}",
+						"parentCluster": "A12",
+						"frequency": 144,
+						"interest": 0.276019,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Rose"
+					},
+					{
+						"cluster": "{CINNAMON, GREEN, PURPLE}",
+						"parentCluster": "A12",
+						"frequency": 76,
+						"interest": 0.14494,
+						"hierarchicalLevel": 1,
+						"rank": 9,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Cannelle"
+					},
+					{
+						"cluster": "{RED}",
+						"parentCluster": "A10",
+						"frequency": 1500,
+						"interest": 0.680039,
+						"hierarchicalLevel": 1,
+						"rank": 11,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Rouge",
+						"description": "Rouge!!!°Ah¤la¤la,¤ça¤craint..."
+					},
+					{
+						"cluster": "{BROWN}",
+						"parentCluster": "A10",
+						"frequency": 2320,
+						"interest": 0.668346,
+						"hierarchicalLevel": 1,
+						"rank": 13,
+						"hierarchicalRank": 14,
+						"isLeaf": true,
+						"shortDescription": "Brun"
+					},
+					{
+						"cluster": "A2",
+						"parentCluster": "",
+						"frequency": 8416,
+						"interest": 0.71515,
+						"hierarchicalLevel": -0.00326863,
+						"rank": 2,
+						"hierarchicalRank": 3,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A6",
+						"parentCluster": "A3",
+						"frequency": 3524,
+						"interest": 0.674258,
+						"hierarchicalLevel": 0.651661,
+						"rank": 4,
+						"hierarchicalRank": 7,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A9",
+						"parentCluster": "A6",
+						"frequency": 1260,
+						"interest": 0.557706,
+						"hierarchicalLevel": 0.895619,
+						"rank": 6,
+						"hierarchicalRank": 10,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A12",
+						"parentCluster": "A9",
+						"frequency": 220,
+						"interest": 0.230737,
+						"hierarchicalLevel": 0.995743,
+						"rank": 8,
+						"hierarchicalRank": 13,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A3",
+						"parentCluster": "A2",
+						"frequency": 7344,
+						"interest": 0.673571,
+						"hierarchicalLevel": 0.358859,
+						"rank": 10,
+						"hierarchicalRank": 4,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A10",
+						"parentCluster": "A3",
+						"frequency": 3820,
+						"interest": 0.672937,
+						"hierarchicalLevel": 0.942919,
+						"rank": 12,
+						"hierarchicalRank": 11,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "Odor",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{ALMOND, ANISE}",
+						"parentCluster": "B5",
+						"frequency": 800,
+						"interest": 0.91958,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{FOUL}",
+						"parentCluster": "B5",
+						"frequency": 2160,
+						"interest": 0.876044,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{FISHY, SPICY}",
+						"parentCluster": "B11",
+						"frequency": 1152,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{MUSTY}",
+						"parentCluster": "B11",
+						"frequency": 48,
+						"interest": 0.145564,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{NONE}",
+						"parentCluster": "B7",
+						"frequency": 3808,
+						"interest": 0.865195,
+						"hierarchicalLevel": 1,
+						"rank": 9,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{CREOSOTE}",
+						"parentCluster": "B8",
+						"frequency": 192,
+						"interest": 0.46277,
+						"hierarchicalLevel": 1,
+						"rank": 11,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{PUNGENT}",
+						"parentCluster": "B8",
+						"frequency": 256,
+						"interest": 0.378504,
+						"hierarchicalLevel": 1,
+						"rank": 13,
+						"hierarchicalRank": 14,
+						"isLeaf": true
+					},
+					{
+						"cluster": "B5",
+						"parentCluster": "B1",
+						"frequency": 2960,
+						"interest": 0.88781,
+						"hierarchicalLevel": 0.633019,
+						"rank": 2,
+						"hierarchicalRank": 6,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B1",
+						"parentCluster": "",
+						"frequency": 8416,
+						"interest": 0.863512,
+						"hierarchicalLevel": 0,
+						"rank": 4,
+						"hierarchicalRank": 2,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B11",
+						"parentCluster": "B4",
+						"frequency": 1200,
+						"interest": 0.965823,
+						"hierarchicalLevel": 0.98921,
+						"rank": 6,
+						"hierarchicalRank": 12,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B4",
+						"parentCluster": "B1",
+						"frequency": 5456,
+						"interest": 0.85033,
+						"hierarchicalLevel": 0.405738,
+						"rank": 8,
+						"hierarchicalRank": 5,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B7",
+						"parentCluster": "B4",
+						"frequency": 4256,
+						"interest": 0.817766,
+						"hierarchicalLevel": 0.80499,
+						"rank": 10,
+						"hierarchicalRank": 8,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B8",
+						"parentCluster": "B7",
+						"frequency": 448,
+						"interest": 0.414618,
+						"hierarchicalLevel": 0.859857,
+						"rank": 12,
+						"hierarchicalRank": 9,
+						"isLeaf": false
+					}
+				]
+			}
+		],
+		"cellPartIndexes": [
+			[1,4],
+			[6,4],
+			[1,1],
+			[0,1],
+			[5,4],
+			[6,2],
+			[5,2],
+			[2,4],
+			[0,0],
+			[2,0],
+			[6,1],
+			[5,1],
+			[6,6],
+			[2,6],
+			[6,0],
+			[2,1],
+			[3,4],
+			[4,4],
+			[1,5],
+			[3,5],
+			[2,5],
+			[6,3],
+			[0,4],
+			[4,3],
+			[5,3]
+		],
+		"cellFrequencies": [1360,1208,840,648,624,576,576,448,400,304,288,288,128,128,96,96,80,64,64,64,64,24,24,12,12]
+	},
+	"khiops_encoding": "utf8"
+}
diff --git a/tests/test_core.py b/tests/test_core.py
index 0ea3960c..1d096401 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -1256,22 +1256,21 @@ def test_analysis_results_accessors(self):
             },
             "ModelingReport": {
                 "get_predictor_names": {
-                    "Adult": ["Selective Naive Bayes", "Univariate relationship"],
-                    "Iris2D": ["Selective Naive Bayes", "Univariate SPetalLength"],
-                    "IrisC": ["Selective Naive Bayes", "Univariate SPetalLength"],
-                    "IrisR": ["Selective Naive Bayes", "Univariate SPetalLength"],
+                    "Adult": ["Selective Naive Bayes"],
+                    "Iris2D": ["Selective Naive Bayes"],
+                    "IrisC": ["Selective Naive Bayes"],
+                    "IrisR": ["Selective Naive Bayes"]
                 }
             },
             "EvaluationReport": {
                 "get_predictor_names": {
-                    "Adult": ["Selective Naive Bayes", "Univariate relationship"],
+                    "Adult": ["Selective Naive Bayes"],
                     "AdultEvaluation": [
                         "Selective Naive Bayes",
-                        "Univariate relationship",
                     ],
-                    "Iris2D": ["Selective Naive Bayes", "Univariate SPetalLength"],
-                    "IrisC": ["Selective Naive Bayes", "Univariate SPetalLength"],
-                    "IrisR": ["Selective Naive Bayes", "Univariate SPetalLength"],
+                    "Iris2D": ["Selective Naive Bayes"],
+                    "IrisC": ["Selective Naive Bayes"],
+                    "IrisR": ["Selective Naive Bayes"],
                 }
             },
             "PredictorPerformance": {

From e4d1ce4908059e03d78fe4ab8cfff0ad055ea87b Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Wed, 21 May 2025 16:34:43 +0200
Subject: [PATCH 02/18] Add analysis reporting JSONization support

---
 khiops/core/analysis_results.py | 627 +++++++++++++++++++++++++++++++-
 khiops/core/internals/io.py     |  15 +
 2 files changed, 638 insertions(+), 4 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 58552821..320cb67b 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -103,6 +103,8 @@ class AnalysisResults(KhiopsJSONObject):
         Version of the Khiops tool that generated the report.
     short_description : str
         Short description defined by the user.
+    khiops_encoding : str
+        Encoding of the Khiops report file.
     logs : list of tuples
         2-tuples linking each sub-task name to a list containing the warnings and errors
         found during the execution of that sub-task. Available only if there were errors
@@ -142,7 +144,7 @@ def __init__(self, json_data=None):
             )
 
         # Initialize report basic data
-        self.short_description = json_data.get("shortDescription", "")
+        self.short_description = json_data.get("shortDescription")
         json_logs = json_data.get("logs", [])
         self.logs = []
         for log in json_logs:
@@ -216,6 +218,33 @@ def write_report_file(self, report_file_path):
             report_file_writer = self.create_output_file_writer(report_file)
             self.write_report(report_file_writer)
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = super().to_json()
+        if self.short_description is not None:
+            report["shortDescription"] = self.short_description
+        if self.logs:
+            report["logs"] = []
+            for task_name, messages in self.logs:
+                report["logs"].append({"taskName": task_name, "messages": messages})
+        if self.preparation_report is not None:
+            report["preparationReport"] = self.preparation_report.to_json()
+        if self.text_preparation_report is not None:
+            report["textPreparationReport"] = self.text_preparation_report.to_json()
+        if self.bivariate_preparation_report is not None:
+            report["bivariatePreparationReport"] = (
+                self.bivariate_preparation_report.to_json()
+            )
+        if self.modeling_report is not None:
+            report["modelingReport"] = self.modeling_report.to_json()
+        if self.train_evaluation_report is not None:
+            report["trainEvaluationReport"] = self.train_evaluation_report.to_json()
+        if self.test_evaluation_report is not None:
+            report["testEvaluationReport"] = self.test_evaluation_report.to_json()
+        if self.evaluation_report is not None:
+            report["evaluationReport"] = self.evaluation_report.to_json()
+        return report
+
     def write_report(self, stream_or_writer):
         """Writes the instance's TSV report into a writer object
 
@@ -439,7 +468,7 @@ def __init__(self, json_data=None):
 
         # Initialize other summary attributes
         self.evaluated_variable_number = json_summary.get("evaluatedVariables", 0)
-        self.informative_variable_number = json_summary.get("informativeVariables", 0)
+        self.informative_variable_number = json_summary.get("informativeVariables")
         self.selected_variable_number = json_summary.get("selectedVariables")
         json_feature_eng = json_summary.get("featureEngineering", {})
         self.max_constructed_variables = json_feature_eng.get(
@@ -448,8 +477,8 @@ def __init__(self, json_data=None):
         self.max_text_features = json_feature_eng.get("maxNumberOfTextFeatures")
         self.max_trees = json_feature_eng.get("maxNumberOfTrees")
         self.max_pairs = json_feature_eng.get("maxNumberOfVariablePairs")
-        self.discretization = json_summary.get("discretization", "")
-        self.value_grouping = json_summary.get("valueGrouping", "")
+        self.discretization = json_summary.get("discretization")
+        self.value_grouping = json_summary.get("valueGrouping")
 
         # Cost of model (supervised case and non empty database)
         json_null_model = json_summary.get("nullModel", {})
@@ -505,6 +534,148 @@ def get_variable_statistics(self, variable_name):
         """
         return self._variables_statistics_by_name[variable_name]
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report_summary = {
+            "dictionary": self.dictionary,
+            "variables": {
+                "types": self.variable_types,
+                "numbers": self.variable_numbers,
+            },
+            "database": self.database,
+            "instances": self.instance_number,
+            "learningTask": self.learning_task,
+        }
+        report = {
+            "reportType": "Preparation",
+            "summary": report_summary,
+        }
+        if self.sampling_mode != "":
+            # Note: We use `update` because |= is not available for Python 3.8
+            report_summary.update(
+                {
+                    "samplePercentage": self.sample_percentage,
+                    "samplingMode": self.sampling_mode,
+                    "selectionVariable": self.selection_variable,
+                    "selectionValue": self.selection_value,
+                }
+            )
+
+        # Write classification specific attributes
+        if "Classification" in self.learning_task:
+            report_summary.update(
+                {
+                    "targetVariable": self.target_variable,
+                    "targetDescriptiveStats": {
+                        "values": self.target_stats_values,
+                        "mode": self.target_stats_mode,
+                        "modeFrequency": self.target_stats_mode_frequency,
+                    },
+                }
+            )
+            if self.target_values is not None:
+                report_summary["targetValues"] = {
+                    "values": self.target_values,
+                    "frequencies": self.target_value_frequencies,
+                }
+            if self.main_target_value is not None:
+                report_summary["mainTargetValue"] = self.main_target_value
+
+        # Write regression specific attributes
+        if "Regression" in self.learning_task:
+            report_summary.update(
+                {
+                    "targetVariable": self.target_variable,
+                    "targetDescriptiveStats": {
+                        "values": self.target_stats_values,
+                        "min": self.target_stats_min,
+                        "max": self.target_stats_max,
+                        "mean": self.target_stats_mean,
+                        "stdDev": self.target_stats_std_dev,
+                    },
+                }
+            )
+            if self.target_values is not None:
+                report_summary["targetValues"] = {
+                    "values": self.target_values,
+                    "frequencies": self.target_value_frequencies,
+                }
+            if self.main_target_value is not None:
+                report_summary["mainTargetValue"] = self.main_target_value
+
+        # Write common classification and regression specific attributes
+        if "Classification" in self.learning_task or "Regression" in self.learning_task:
+            if self.target_stats_missing_number is not None:
+                report_summary["targetDescriptiveStats"][
+                    "missingNumber"
+                ] = self.target_stats_missing_number
+            if self.target_stats_sparse_missing_number is not None:
+                report_summary["targetDescriptiveStats"][
+                    "sparseMissingNumber"
+                ] = self.target_stats_sparse_missing_number
+            if self.selected_variable_number is not None:
+                report_summary["selectedVariables"] = self.selected_variable_number
+
+        # Write variable preparation summary attributes
+        if len(self.variable_types) > 0 and self.instance_number > 0:
+            report_summary["evaluatedVariables"] = self.evaluated_variable_number
+            if not (
+                self.max_constructed_variables is None
+                and self.max_text_features is None
+                and self.max_trees is None
+                and self.max_pairs is None
+            ):
+                report_summary["featureEngineering"] = {
+                    "maxNumberOfConstructedVariables": (
+                        self.max_constructed_variables or 0
+                    ),
+                    "maxNumberOfTextFeatures": self.max_text_features or 0,
+                    "maxNumberOfTrees": self.max_trees or 0,
+                    "maxNumberOfVariablePairs": self.max_pairs or 0,
+                }
+            if self.informative_variable_number is not None:
+                report_summary["informativeVariables"] = (
+                    self.informative_variable_number
+                )
+            if self.discretization is not None:
+                report_summary["discretization"] = self.discretization
+            if self.value_grouping is not None:
+                report_summary["valueGrouping"] = self.value_grouping
+            if self.constructed_variable_number is not None:
+                report_summary["constructedVariables"] = (
+                    self.constructed_variable_number
+                )
+            if self.native_variable_number is not None:
+                report_summary["nativeVariables"] = self.native_variable_number
+
+        # Write preparation cost information
+        if (
+            "Unsupervised" not in self.learning_task
+            and self.null_model_construction_cost is not None
+        ):
+            report_summary["nullModel"] = {
+                "constructionCost": self.null_model_construction_cost,
+                "preparationCost": self.null_model_preparation_cost,
+                "dataCost": self.null_model_data_cost,
+            }
+
+        # Write variables' statistics
+        if len(self.variables_statistics) > 0:
+            report["variablesStatistics"] = [
+                variable_statistics.to_json()
+                for variable_statistics in self.variables_statistics
+            ]
+            if any(
+                variable_statistics.is_detailed()
+                for variable_statistics in self.variables_statistics
+            ):
+                report["variablesDetailedStatistics"] = {
+                    variable_statistics.rank: variable_statistics.to_json(details=True)
+                    for variable_statistics in self.variables_statistics
+                    if variable_statistics.is_detailed()
+                }
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -799,6 +970,91 @@ def get_variable_pair_statistics(self, variable_name_1, variable_name_2):
             (variable_name_1, variable_name_2)
         ]
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report_summary = {
+            "dictionary": self.dictionary,
+            "variables": {
+                "types": self.variable_types,
+                "numbers": self.variable_numbers,
+            },
+            "database": self.database,
+            "instances": self.instance_number,
+            "learningTask": self.learning_task,
+        }
+        report = {
+            "reportType": "BivariatePreparation",
+            "summary": report_summary,
+        }
+
+        # Update report with data sampling specifications if available
+        if self.sampling_mode != "":
+            report_summary.update(
+                {
+                    "samplePercentage": self.sample_percentage,
+                    "samplingMode": self.sampling_mode,
+                    "selectionVariable": self.selection_variable,
+                    "selectionValue": self.selection_value,
+                }
+            )
+
+        # Write specific summary attributes for a classification task
+        if self.learning_task == "Classification analysis":
+            report_summary.update(
+                {
+                    "targetVariable": self.target_variable,
+                    "targetDescriptiveStats": {
+                        "values": self.target_stats_values,
+                        "mode": self.target_stats_mode,
+                        "modeFrequency": self.target_stats_mode_frequency,
+                    },
+                }
+            )
+            if self.target_values is not None:
+                report_summary["targetValues"] = {
+                    "values": self.target_values,
+                    "frequencies": self.target_value_frequencies,
+                }
+            if self.target_stats_missing_number is not None:
+                report_summary["targetDescriptiveStats"][
+                    "missingNumber"
+                ] = self.target_stats_missing_number
+            if self.target_stats_sparse_missing_number is not None:
+                report_summary["targetDescriptiveStats"][
+                    "sparseMissingNumber"
+                ] = self.target_stats_sparse_missing_number
+            if self.main_target_value is not None:
+                report_summary["mainTargetValue"] = self.main_target_value
+
+        if self.evaluated_pair_number is not None:
+            report_summary["evaluatedVariablePairs"] = self.evaluated_pair_number
+
+        if self.selected_pair_number is not None:
+            report_summary["selectedVariablePairs"] = self.selected_pair_number
+
+        if self.informative_pair_number is not None:
+            report_summary["informativeVariablePairs"] = self.informative_pair_number
+
+        # Write variables pairs' statistics
+        if len(self.variables_pairs_statistics) > 0:
+            report["variablesPairsStatistics"] = [
+                variable_pair_statistics.to_json()
+                for variable_pair_statistics in self.variables_pairs_statistics
+            ]
+            if any(
+                variable_pair_statistics.is_detailed()
+                for variable_pair_statistics in self.variables_pairs_statistics
+            ):
+                report["variablesPairsDetailedStatistics"] = {
+                    variable_pair_statistics.rank: variable_pair_statistics.to_json(
+                        details=True
+                    )
+                    for variable_pair_statistics in self.variables_pairs_statistics
+                    if variable_pair_statistics.is_detailed()
+                }
+
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -992,6 +1248,42 @@ def get_predictor_names(self):
         """
         return list(self._trained_predictors_by_name.keys())
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report_summary = {
+            "dictionary": self.dictionary,
+            "database": self.database,
+            "learningTask": self.learning_task,
+            "targetVariable": self.target_variable,
+        }
+        report = {
+            "reportType": "Modeling",
+            "summary": report_summary,
+            "trainedPredictors": [
+                predictor.to_json() for predictor in self.trained_predictors
+            ],
+        }
+        if any(predictor.is_detailed() for predictor in self.trained_predictors):
+            report["trainedPredictorsDetails"] = {
+                predictor.rank: predictor.to_json(details=True)
+                for predictor in self.trained_predictors
+                if predictor.is_detailed()
+            }
+        if self.sampling_mode != "":
+            report_summary.update(
+                {
+                    "samplePercentage": self.sample_percentage,
+                    "samplingMode": self.sampling_mode,
+                    "selectionVariable": self.selection_variable,
+                    "selectionValue": self.selection_value,
+                }
+            )
+
+        if self.main_target_value is not None:
+            report_summary["mainTargetValue"] = self.main_target_value
+
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -1344,6 +1636,79 @@ def get_snb_lift_curve(self, target_value):
                 )
         raise KeyError(target_value)
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report_summary = {
+            "dictionary": self.dictionary,
+            "database": self.database,
+            "instances": self.instance_number,
+            "learningTask": self.learning_task,
+            "targetVariable": self.target_variable,
+        }
+        report = {
+            "reportType": "Evaluation",
+            "evaluationType": self.evaluation_type,
+            "summary": report_summary,
+            "predictorsPerformance": [
+                predictor_performance.to_json()
+                for predictor_performance in self.predictors_performance
+            ],
+        }
+        if any(
+            predictor_performance.is_detailed()
+            for predictor_performance in self.predictors_performance
+        ):
+            report["predictorsDetailedPerformance"] = {
+                predictor_performance.rank: predictor_performance.to_json(details=True)
+                for predictor_performance in self.predictors_performance
+                if predictor_performance.is_detailed()
+            }
+
+        if self.sampling_mode != "":
+            report_summary.update(
+                {
+                    "samplePercentage": self.sample_percentage,
+                    "samplingMode": self.sampling_mode,
+                    "selectionVariable": self.selection_variable,
+                    "selectionValue": self.selection_value,
+                }
+            )
+
+        if self.main_target_value is not None:
+            report_summary["mainTargetValue"] = self.main_target_value
+
+        # Write lift curves, one per target value and per classifier
+        if (
+            self.learning_task.startswith("Classification")
+            and self.classification_target_values is not None
+        ):
+            report["liftCurves"] = []
+            for i, target_value in enumerate(self.classification_target_values):
+                lift_curves = self.classification_lift_curves[i]
+                report["liftCurves"].append(
+                    {
+                        "targetValue": target_value,
+                        "curves": [
+                            {
+                                "classifier": lift_curve.name,
+                                "values": lift_curve.values,
+                            }
+                            for lift_curve in lift_curves
+                        ],
+                    }
+                )
+
+        # Write REC curves, one per regressor
+        if (
+            self.learning_task.startswith("Regression")
+            and self.regression_rec_curves is not None
+        ):
+            report["recCurves"] = [
+                {"regressor": rec_curve.name, "values": rec_curve.values}
+                for rec_curve in self.regression_rec_curves
+            ]
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -1613,6 +1978,79 @@ def is_detailed(self):
             self.input_values is not None and self.input_value_frequencies is not None
         )
 
+    def to_json(self, details=False):
+        """Serialize object instance to the Khiops JSON format"""
+        # Write report details if required and applicable
+        if details and self.is_detailed():
+            report = {}
+
+            # Write data grid
+            if self.data_grid is not None:
+                report["dataGrid"] = self.data_grid.to_json()
+
+            # Write input values and their frequencies
+            if self.input_values is not None:
+                report["inputValues"] = {
+                    "values": self.input_values,
+                    "frequencies": self.input_value_frequencies,
+                }
+            return report
+        elif details is False:
+            report = {
+                "rank": self.rank,
+                "name": self.name,
+                "type": self.type,
+                "values": self.value_number,
+                "constructionCost": self.construction_cost,
+            }
+
+            # Write level if available
+            if self.level is not None:
+                report["level"] = self.level
+
+            # Write target part number if available
+            if self.target_part_number is not None:
+                report["targetParts"] = self.target_part_number
+
+            # Write part number if available
+            if self.part_number is not None:
+                report["parts"] = self.part_number
+
+            # Write missing number if available
+            if self.missing_number is not None:
+                report["missingNumber"] = self.missing_number
+
+            # Write sparse missing number if available
+            if self.sparse_missing_number is not None:
+                report["sparseMissingNumber"] = self.sparse_missing_number
+
+            # Write attributes specific to Numerical / Categorical types
+            if self.type == "Numerical":
+                report.update(
+                    {
+                        "min": self.min,
+                        "max": self.max,
+                        "mean": self.mean,
+                        "stdDev": self.std_dev,
+                    }
+                )
+            elif self.type == "Categorical":
+                report.update({"mode": self.mode, "modeFrequency": self.mode_frequency})
+
+            # Write preparation cost only for the supervised case
+            if self.preparation_cost is not None:
+                report.update(
+                    {
+                        "preparationCost": self.preparation_cost,
+                        "dataCost": self.data_cost,
+                    }
+                )
+
+            # Write derivation rule if available
+            if self.derivation_rule is not None:
+                report["derivationRule"] = self.derivation_rule
+            return report
+
     def write_report_header_line(self, writer):
         """Writes the header line of a TSV report into a writer object
 
@@ -1859,6 +2297,41 @@ def is_detailed(self):
         """
         return self.data_grid is not None
 
+    def to_json(self, details=False):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {}
+        if details and self.is_detailed():
+            # write detailed report
+            report["dataGrid"] = self.data_grid.to_json()
+        elif details is False:
+            report.update(
+                {
+                    "rank": self.rank,
+                    "name1": self.name1,
+                    "name2": self.name2,
+                    "level": self.level,
+                    "variables": self.variable_number,
+                    "parts1": self.part_number1,
+                    "parts2": self.part_number2,
+                    "cells": self.cell_number,
+                    "constructionCost": self.construction_cost,
+                    "preparationCost": self.preparation_cost,
+                    "dataCost": self.data_cost,
+                }
+            )
+
+            # Supervised case: write level attributes
+            if self.delta_level is not None:
+                report.update(
+                    {
+                        "deltaLevel": self.delta_level,
+                        "level1": self.level1,
+                        "level2": self.level2,
+                    }
+                )
+
+        return report
+
     def write_report_header_line(self, writer):
         """Writes the header line of a TSV report into a writer object
 
@@ -2045,6 +2518,44 @@ def __init__(self, json_data=None):
             self.cell_target_frequencies = json_data.get("cellTargetFrequencies")
             self.cell_interests = json_data.get("cellInterests")
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        # Write data grid type and dimensions
+        report = {
+            "isSupervised": self.is_supervised,
+            "dimensions": [dimension.to_json() for dimension in self.dimensions],
+        }
+
+        # Write data grid cells
+        # Univariate unsupervised data grid: Write frequencies per part
+        if not self.is_supervised and len(self.dimensions) == 1:
+            report["frequencies"] = self.frequencies
+
+        # Multivariate unsupervised data grid: Write frequencies per cell
+        elif not self.is_supervised and len(self.dimensions) > 1:
+            report["cellIds"] = self.cell_ids
+            report["cellPartIndexes"] = self.cell_part_indexes
+            if self.cell_frequencies is not None:
+                report["cellFrequencies"] = self.cell_frequencies
+
+        # Supervised data grid with one input variable:
+        # Write frequencies for each input part and for each target part
+        elif self.is_supervised and len(self.dimensions) == 2:
+            report["partTargetFrequencies"] = self.part_target_frequencies
+            report["partInterests"] = self.part_interests
+
+        # Supervised data grid with several input variables
+        # Write frequencies per input cell part, for each target part
+        elif self.is_supervised and len(self.dimensions) > 2:
+            report["cellIds"] = self.cell_ids
+            report["cellPartIndexes"] = self.cell_part_indexes
+            if self.cell_frequencies is not None:
+                report["cellFrequencies"] = self.cell_frequencies
+            report["cellTargetFrequencies"] = self.cell_target_frequencies
+            report["cellInterests"] = self.cell_interests
+
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -2255,6 +2766,26 @@ def __init__(self, json_data=None):
             default_group_index = json_data["defaultGroupIndex"]
             self.partition[default_group_index].is_default_part = True
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "variable": self.variable,
+            "type": self.type,
+            "partitionType": self.partition_type,
+            "partition": [part.to_json() for part in self.partition],
+        }
+
+        if self.partition_type == "Value groups":
+            default_group_index = None
+            for i, part in enumerate(self.partition):
+                if part.is_default_part:
+                    default_group_index = i
+                    break
+            if default_group_index is not None:
+                report["defaultGroupIndex"] = default_group_index
+
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
@@ -2352,6 +2883,12 @@ def part_type(self):
         """
         return "Interval"
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        if not self.is_missing:
+            return [self.lower_bound, self.upper_bound]
+        return []
+
     def write_report_line(self, writer):
         """Writes a line of the TSV report into a writer object
 
@@ -2412,6 +2949,10 @@ def part_type(self):
         """
         return "Value"
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        return self.value
+
     def write_report_line(self, writer):
         """Writes a line of the TSV report into a writer object
 
@@ -2475,6 +3016,10 @@ def part_type(self):
         """
         return "Value group"
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        return self.values
+
     def write_report_line(self, writer):
         """Writes a line of the TSV report into a writer object
 
@@ -2591,6 +3136,25 @@ def is_detailed(self):
         """
         return self.selected_variables is not None
 
+    def to_json(self, details=False):
+        """Serialize object instance to the Khiops JSON format"""
+        if details and self.is_detailed() and self.selected_variables is not None:
+            return {
+                "selectedVariables": [
+                    selected_variable.to_json()
+                    for selected_variable in self.selected_variables
+                ]
+            }
+
+        # details is False:
+        return {
+            "rank": self.rank,
+            "type": self.type,
+            "family": self.family,
+            "name": self.name,
+            "variables": self.variable_number,
+        }
+
     def write_report_header_line(self, writer):
         """Writes the header line of a TSV report into a writer object
 
@@ -2690,6 +3254,19 @@ def __init__(self, json_data=None):
         self.importance = json_data.get("importance")
         self.map = json_data.get("map")
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "preparedName": self.prepared_name,
+            "name": self.name,
+            "level": self.level,
+            "weight": self.weight,
+        }
+        if self.importance is not None:
+            report["importance"] = self.importance
+
+        return report
+
     def write_report_header_line(self, writer):
         """Writes the header line of a TSV report into a writer object
 
@@ -2891,6 +3468,43 @@ def get_metric(self, metric_name):
             )
         return metric
 
+    def to_json(self, details=False):
+        """Serialize object instance to the Khiops JSON format"""
+        if details and self.is_detailed():
+            report = {}
+            if self.data_grid is not None:
+                report["dataGrid"] = self.data_grid.to_json()
+            if self.confusion_matrix is not None:
+                report["confusionMatrix"] = self.confusion_matrix.to_json()
+        else:
+            report = {
+                "rank": self.rank,
+                "type": self.type,
+                "family": self.family,
+                "name": self.name,
+            }
+
+            if self.type == "Classifier":
+                report.update(
+                    {
+                        "accuracy": self.accuracy,
+                        "compression": self.compression,
+                        "auc": self.auc,
+                    }
+                )
+            elif self.type == "Regressor":
+                report.update(
+                    {
+                        "rmse": self.rmse,
+                        "mae": self.mae,
+                        "nlpd": self.nlpd,
+                        "rankRmse": self.rank_rmse,
+                        "rankMae": self.rank_mae,
+                        "rankNlpd": self.rank_nlpd,
+                    }
+                )
+        return report
+
     def write_report_header_line(self, writer):
         """Writes the header line of a TSV report into a writer object
 
@@ -2992,6 +3606,11 @@ def __init__(self, json_data=None):
         self.values = json_data.get("values", [])
         self.matrix = json_data.get("matrix", [])
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+
+        return {"values": self.values, "matrix": self.matrix}
+
     def write_report(self, writer):
         """Writes the instance's TSV report into a writer object
 
diff --git a/khiops/core/internals/io.py b/khiops/core/internals/io.py
index d96efdae..809c96b5 100644
--- a/khiops/core/internals/io.py
+++ b/khiops/core/internals/io.py
@@ -234,6 +234,21 @@ def create_output_file_writer(self, stream):
             else:
                 return KhiopsOutputWriter(stream, force_ansi=True)
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "tool": self.tool,
+            "version": self.version,
+            "khiops_encoding": self.khiops_encoding,
+        }
+        if self.ansi_chars is not None:
+            report["ansi_chars"] = self.ansi_chars
+        if self.colliding_utf8_chars is not None:
+            report["colliding_utf8_chars"] = self.colliding_utf8_chars
+        if self.sub_tool is not None:
+            report["subTool"] = self.sub_tool
+        return report
+
     def write_khiops_json_file(self, json_file_path):
         """Write the JSON data of the object to a Khiops JSON file
 

From e361e66811c26a62ce472b54399626bbb2502723 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 6 May 2025 17:44:47 +0200
Subject: [PATCH 03/18] Drop no-longer-used `map` `SelectedVariable` attribute

---
 khiops/core/analysis_results.py | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 320cb67b..cdf3cfe4 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -3072,8 +3072,7 @@ class variable. They are:
     variable_number : int
         Number of variables used by the predictor.
     selected_variables : list of `SelectedVariable`
-        Variables used by the predictor. Only for types "Selective Naive Bayes" and "MAP
-        Naive Bayes".
+        Variables used by the predictor. Only for type "Selective Naive Bayes".
     """
 
     predictor_types = ["Classifier", "Regressor"]
@@ -3231,9 +3230,6 @@ class SelectedVariable:
     importance : float
         A measure of overall importance of the variable in the model. It is the
         geometric mean of the level and weight.
-    map : bool
-         True if the variable is in the MAP model.
-         **Deprecated**: Will be removed in Khiops Python 11.
     """
 
     def __init__(self, json_data=None):
@@ -3252,7 +3248,6 @@ def __init__(self, json_data=None):
         self.level = json_data.get("level", "")
         self.weight = json_data.get("weight")
         self.importance = json_data.get("importance")
-        self.map = json_data.get("map")
 
     def to_json(self):
         """Serialize object instance to the Khiops JSON format"""
@@ -3283,8 +3278,6 @@ def write_report_header_line(self, writer):
         writer.write("\tWeight")
         if self.importance is not None:
             writer.write("\tImportance")
-        if self.map is not None:
-            writer.write("\tMAP")
         writer.writeln("")
 
     def write_report_line(self, writer):
@@ -3301,8 +3294,6 @@ def write_report_line(self, writer):
         writer.write(f"\t{self.weight}")
         if self.importance is not None:
             writer.write(f"\t{self.importance}")
-        elif self.map is not None:
-            writer.write("\t1")
 
         writer.writeln("")
 

From c87331e384feb21ac1f0fa34bd488d676b8d4e85 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 20 May 2025 17:54:30 +0200
Subject: [PATCH 04/18] Deprecate `.json_data` on KhiopsJSONObject

---
 khiops/core/internals/io.py | 31 +++++++++++++++++++++----------
 1 file changed, 21 insertions(+), 10 deletions(-)

diff --git a/khiops/core/internals/io.py b/khiops/core/internals/io.py
index 809c96b5..56a6b9cd 100644
--- a/khiops/core/internals/io.py
+++ b/khiops/core/internals/io.py
@@ -14,7 +14,11 @@
 
 import khiops.core.internals.filesystems as fs
 from khiops.core.exceptions import KhiopsJSONError
-from khiops.core.internals.common import is_string_like, type_error_message
+from khiops.core.internals.common import (
+    deprecation_message,
+    is_string_like,
+    type_error_message,
+)
 
 
 def encode_file_path(file_path):
@@ -141,6 +145,9 @@ class KhiopsJSONObject:
     sub_tool : str, optional
         Identifies the tool that originated the JSON file. Used by tools of the Khiops
         family such as PataText or Enneade.
+    json_data : dict
+        Python dictionary extracted from the Khiops JSON report file.
+        **Deprecated** will be removed in Khiops 12.
     """
 
     def __init__(self, json_data=None):
@@ -209,7 +216,12 @@ def __init__(self, json_data=None):
             self.colliding_utf8_chars = []
 
         # Store a copy of the data to be able to write copies of it
-        self.json_data = copy.deepcopy(json_data)
+        self._json_data = copy.deepcopy(json_data)
+
+    @property
+    def json_data(self):
+        warnings.warn(deprecation_message("'json_data'", "12.0.0", quote=False))
+        return self._json_data
 
     def create_output_file_writer(self, stream):
         """Creates an output file with the proper encoding settings
@@ -257,14 +269,13 @@ def write_khiops_json_file(self, json_file_path):
         json_file_path : str
             Path to the Khiops JSON file.
         """
-        if self.json_data is not None:
-            # Serialize JSON data to string
-            # Do not escape non-ASCII Unicode characters
-            json_string = json.dumps(self.json_data, ensure_ascii=False)
-            with io.BytesIO() as json_stream:
-                writer = self.create_output_file_writer(json_stream)
-                writer.write(json_string)
-                fs.write(uri_or_path=json_file_path, data=json_stream.getvalue())
+        # Serialize JSON data to string
+        # Do not escape non-ASCII Unicode characters
+        json_string = json.dumps(self.to_json(), ensure_ascii=False)
+        with io.BytesIO() as json_stream:
+            writer = self.create_output_file_writer(json_stream)
+            writer.write(json_string)
+            fs.write(uri_or_path=json_file_path, data=json_stream.getvalue())
 
 
 class KhiopsOutputWriter:

From 9fc1089caa78759a7ba053d0d7bfc556856cc5a7 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Mon, 12 May 2025 16:52:01 +0200
Subject: [PATCH 05/18] Add MODL histogram support to the analysis results
 object

---
 khiops/core/analysis_results.py | 180 ++++++++++++++++++++++++++++++++
 1 file changed, 180 insertions(+)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index cdf3cfe4..46709985 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -1885,6 +1885,9 @@ class VariableStatistics:
         Otherwise is set to ``None``.
     data_grid : `DataGrid`
         A density estimation of the partitioned variable with respect to the target.
+    modl_histograms : `ModlHistogram`
+        MODL optimal histograms for for numerical variables. Only for unsupervised
+        analysis.
     """
 
     def __init__(self, json_data=None):
@@ -1932,6 +1935,9 @@ def __init__(self, json_data=None):
         # Data grid for density estimation
         self.data_grid = None
 
+        # MODL optimal histograms for numerical data in unsupervised analysis
+        self.modl_histograms = None
+
         # Input values and their frequencies in case of categorical variables
         # The input values may not be the exhaustive list of all the values
         # For scalability reasons, the least frequent values are not always present
@@ -1964,6 +1970,11 @@ def init_details(self, json_data=None):
             self.input_values = json_input_values.get("values")
             self.input_value_frequencies = json_input_values.get("frequencies")
 
+            # Initialize MODL histograms if present in the JSON report
+            json_modl_histograms = json_data.get("modlHistograms")
+            if json_modl_histograms is not None:
+                self.modl_histograms = ModlHistogram(json_modl_histograms)
+
         return self
 
     def is_detailed(self):
@@ -1994,6 +2005,10 @@ def to_json(self, details=False):
                     "values": self.input_values,
                     "frequencies": self.input_value_frequencies,
                 }
+
+            # Write MODL histograms (unsupervised analysis)
+            if self.modl_histograms is not None:
+                report["modlHistograms"] = self.modl_histograms.to_json()
             return report
         elif details is False:
             report = {
@@ -2417,6 +2432,171 @@ def write_report_details(self, writer):
             self.data_grid.write_report(writer)
 
 
+class ModlHistogram:
+    """A histogram density estimation for numerical data
+
+    A MODL histogram is a regularized piecewise-constant estimation of the probability
+    density for numerical data. It has various refinement levels to ease exploratory
+    analysis tasks.
+
+    Parameters
+    ----------
+    json_data : dict, optional
+        JSON data at a ``modlHistograms`` field of an element of the list found at the
+        ``variablesDetailedStatistics`` field within the ``preparationReport`` field
+        of a Khiops JSON report file. If not specified, it returns an empty instance.
+
+    Attributes
+    ----------
+    histogram_number : int
+        Number of available histograms.
+    interpretable_histogram_number : int
+        Number of interpretable histograms. Can be equal to either
+        ``histogram_number`` or ``histogram_number - 1``.
+    truncation_epsilon : float
+        Truncation epsilon used by the truncation heuristic implemented in Khiops.
+        Equals 0 if no truncation is detected in the input data.
+    removed_singular_interval_number : int
+        Number of singular intervals removed from the finest-grained histogram to
+        obtain the first interpretable histogram.
+    granularities : list of int
+        Histogram granularities, sorted in increasing order.
+        Synchronized with ``histograms``.
+    interval_numbers : list of int
+        Histogram interval numbers, sorted in increasing order.
+        Synchronized with ``histograms``.
+    peak_interval_numbers : list of int
+        Histogram peak interval numbers, sorted in increasing order.
+        Synchronized with ``histograms``.
+    spike_interval_numbers : list of int
+        Histogram spike interval numbers, sorted in increasing order.
+        Synchronized with ``histograms``.
+    empty_interval_numbers : list of int
+        Histogram empty interval numbers, sorted in increasing order.
+        Synchronized with ``histograms``.
+    levels : list of float
+        List of histogram levels, sorted in increasing order.
+        Synchronized with ``histograms``.
+    information_rates : list of float
+        Histogram information rates, sorted in increasing order. Between 0 and
+        100 for interpretable histograms.
+        Synchronized with ``histograms``.
+    histograms : list of `Histogram`
+        The MODL histograms.
+
+    """
+
+    def __init__(self, json_data=None):
+        """See class docstring"""
+        # Check the type of json_data
+        if json_data is not None and not isinstance(json_data, dict):
+            raise TypeError(type_error_message("json_data", json_data, dict))
+
+        # Transform to an empty dictionary if json_data is not specified
+        if json_data is None:
+            json_data = {}
+
+        # Initialize histogram number
+        self.histogram_number = json_data.get("histogramNumber")
+
+        # Initialize interpretable_histogram_number
+        self.interpretable_histogram_number = json_data.get(
+            "interpretableHistogramNumber"
+        )
+
+        # Initialize truncation_epsilon
+        self.truncation_epsilon = json_data.get("truncationEpsilon")
+
+        # Initialize removed_singular_interval_number
+        self.removed_singular_interval_number = json_data.get(
+            "removedSingularIntervalNumber"
+        )
+
+        # Initialize histogram granularities
+        self.granularities = json_data.get("granularities")
+
+        # Initialize histogram interval numbers
+        self.interval_numbers = json_data.get("intervalNumbers")
+
+        # Initialize histogram peak interval numbers
+        self.peak_interval_numbers = json_data.get("peakIntervalNumbers")
+
+        # Initialize histogram spike interval numbers
+        self.spike_interval_numbers = json_data.get("spikeIntervalNumbers")
+
+        # Initialize histogram empty interval numbers
+        self.empty_interval_numbers = json_data.get("emptyIntervalNumbers")
+
+        # Initialize histogram levels
+        self.levels = json_data.get("levels")
+
+        # Initialize histogram information rates
+        self.information_rates = json_data.get("informationRates")
+
+        # Initialize histograms
+        self.histograms = [
+            Histogram(json_histogram)
+            for json_histogram in json_data.get("histograms", [])
+        ]
+
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        return {
+            "emptyIntervalNumbers": self.empty_interval_numbers,
+            "granularities": self.granularities,
+            "histogramNumber": self.histogram_number,
+            "histograms": [histogram.to_json() for histogram in self.histograms],
+            "informationRates": self.information_rates,
+            "interpretableHistogramNumber": self.interpretable_histogram_number,
+            "intervalNumbers": self.interval_numbers,
+            "levels": self.levels,
+            "peakIntervalNumbers": self.peak_interval_numbers,
+            "removedSingularIntervalNumber": self.removed_singular_interval_number,
+            "spikeIntervalNumbers": self.spike_interval_numbers,
+            "truncationEpsilon": self.truncation_epsilon,
+        }
+
+
+class Histogram:
+    """A histogram
+
+    Represents one of the refinement levels of a `ModlHistogram` object.
+
+    Parameters
+    ----------
+    json_data : dict, optional
+        JSON data of an element at the ``histograms`` field of a ``modlHistograms``
+        field of an element of the list found at the ``variablesDetailedStatistics``
+        field within the ``preparationReport`` field of a Khiops JSON report file.
+        If not specified it returns an empty instance.
+
+    Attributes
+    ----------
+    bounds : list of float
+        Interval bounds.
+    frequencies : list of int
+        Interval frequencies.
+    """
+
+    def __init__(self, json_data=None):
+        """See class docstring"""
+        # Check the type of json_data
+        if json_data is not None and not isinstance(json_data, dict):
+            raise TypeError(type_error_message("json_data", json_data, dict))
+
+        # Transform to an empty dictionary if json_data is not specified
+        if json_data is None:
+            json_data = {}
+
+        # Initialize basic attributes
+        self.bounds = json_data.get("bounds")
+        self.frequencies = json_data.get("frequencies")
+
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        return {"bounds": self.bounds, "frequencies": self.frequencies}
+
+
 class DataGrid:
     """A piecewise constant probability density estimation
 

From 5d1eb3153987449dc2394be2f17c2f4a20ac08ca Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 13 May 2025 16:49:14 +0200
Subject: [PATCH 06/18] Add tree details support to the AnalysisResults object

Use it throughout the code base where needed: in the sklearn estimators
and their tests.
---
 khiops/core/analysis_results.py               |  299 ++
 khiops/sklearn/estimators.py                  |   20 +-
 .../ref_json_reports/IrisRWithTrees.khj       | 1525 ++++++++++
 .../SpliceJunctionWithTrees.khj               | 2475 +++++++++++++++++
 tests/test_core.py                            |    2 +
 tests/test_estimator_attributes.py            |   15 +-
 6 files changed, 4312 insertions(+), 24 deletions(-)
 create mode 100644 tests/resources/analysis_results/ref_json_reports/IrisRWithTrees.khj
 create mode 100644 tests/resources/analysis_results/ref_json_reports/SpliceJunctionWithTrees.khj

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 46709985..8c01cd77 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -164,6 +164,11 @@ def __init__(self, json_data=None):
             self.text_preparation_report = PreparationReport(
                 json_data["textPreparationReport"]
             )
+        self.tree_preparation_report = None
+        if "treePreparationReport" in json_data:
+            self.tree_preparation_report = PreparationReport(
+                json_data["treePreparationReport"]
+            )
         self.modeling_report = None
         if "modelingReport" in json_data:
             self.modeling_report = ModelingReport(json_data["modelingReport"])
@@ -194,6 +199,8 @@ def get_reports(self):
             reports.append(self.preparation_report)
         if self.text_preparation_report is not None:
             reports.append(self.text_preparation_report)
+        if self.tree_preparation_report is not None:
+            reports.append(self.tree_preparation_report)
         if self.bivariate_preparation_report is not None:
             reports.append(self.bivariate_preparation_report)
         if self.modeling_report is not None:
@@ -231,6 +238,8 @@ def to_json(self):
             report["preparationReport"] = self.preparation_report.to_json()
         if self.text_preparation_report is not None:
             report["textPreparationReport"] = self.text_preparation_report.to_json()
+        if self.tree_preparation_report is not None:
+            report["treePreparationReport"] = self.tree_preparation_report.to_json()
         if self.bivariate_preparation_report is not None:
             report["bivariatePreparationReport"] = (
                 self.bivariate_preparation_report.to_json()
@@ -403,6 +412,8 @@ class PreparationReport:
         Coding length of the data given the null model.
     variables_statistics : list of `VariableStatistics`
         Variable statistics for each variable analyzed.
+    trees : list of `Tree`
+        Tree details for each tree built.
     """
 
     def __init__(self, json_data=None):
@@ -504,6 +515,35 @@ def __init__(self, json_data=None):
             json_detailed_data = json_variables_detailed_statistics.get(stats.rank)
             stats.init_details(json_detailed_data)
 
+        # Initialize tree details
+        self.trees = []
+        self._trees_by_name = {}
+        json_tree_details = json_data.get("treeDetails", {}).values()
+        for json_tree_detail in json_tree_details:
+            tree = Tree(json_tree_detail)
+            self.trees.append(tree)
+            self._trees_by_name[tree.name] = tree
+
+    def get_tree(self, tree_name):
+        """Returns the tree with the specified name
+
+        Parameters
+        ----------
+        tree_name : str
+            Name of the tree.
+
+        Returns
+        -------
+        `Tree`
+            The tree which has the specified name.
+
+        Raises
+        ------
+        `KeyError`
+            If no tree with the specified name exists.
+        """
+        return self._trees_by_name[tree_name]
+
     def get_variable_names(self):
         """Returns the names of the variables analyzed during the preparation
 
@@ -674,6 +714,13 @@ def to_json(self):
                     for variable_statistics in self.variables_statistics
                     if variable_statistics.is_detailed()
                 }
+
+        # Write trees
+        if len(self.trees) > 0:
+            report["treeDetails"] = {
+                self.get_variable_statistics(tree.name).rank: tree.to_dict()
+                for tree in self.trees
+            }
         return report
 
     def write_report(self, writer):
@@ -2432,6 +2479,258 @@ def write_report_details(self, writer):
             self.data_grid.write_report(writer)
 
 
+class Tree:
+    """A decision tree feature
+
+    Parameters
+    ----------
+    json_data : dict, optional
+        JSON data of a value associated to the rank key in the object found at the
+        ``treeDetails`` field within the ``treePreparationReport`` field of a Khiops
+        JSON report file. If not specified, it returns an empty instance.
+
+    Attributes
+    ----------
+    name : str
+        Name of the tree.
+    variable_number : int
+        Number of variables in the tree.
+    depth : int
+        Depth of the tree.
+    target_partition : `TargetPartition`
+        Summary of the target partition. For regression only.
+    nodes: list of `TreeNode`
+        Nodes of the tree.
+    """
+
+    def __init__(self, json_data=None):
+        """ "See class docstring"""
+        self.name = json_data.get("name")
+        self.variable_number = json_data.get("variableNumber")
+        self.depth = json_data.get("depth")
+        self.target_partition = None
+        if "targetPartition" in json_data:
+            self.target_partition = TargetPartition(json_data["targetPartition"])
+
+        # Initialize tree nodes as empty list
+        self.nodes = []
+
+        # Update node tree structure
+        json_tree_nodes = json_data.get("treeNodes")
+        self._update_nodes(json_tree_nodes, root=None)
+
+    def _update_nodes(self, json_data, root=None):
+        self.nodes.append(TreeNode(json_data, parent_id=root))
+        for json_node in json_data.get("childNodes", []):
+            self._update_nodes(json_node, root=json_data.get("nodeId"))
+
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "name": self.name,
+            "variableNumber": self.variable_number,
+            "depth": self.depth,
+        }
+        if self.target_partition is not None:
+            report["targetPartition"] = self.target_partition.to_json()
+        if self.nodes:
+            report["treeNodes"] = self._nodes_to_json(
+                root_node=self.nodes[0], past_nodes=[]
+            )
+            return report
+
+    def _nodes_to_json(self, root_node, past_nodes):
+        report = root_node.to_json()
+        past_nodes = [root_node]
+        json_child_nodes = []
+        for node in self.nodes:
+            if node in past_nodes:
+                continue
+            if node.parent_id == root_node.id:
+                past_nodes.append(node)
+                json_child_nodes.append(
+                    self._nodes_to_json(root_node=node, past_nodes=past_nodes)
+                )
+        if json_child_nodes:
+            report["childNodes"] = json_child_nodes
+        return report
+
+
+class TargetPartition:
+    """Target partition details (for regression trees only)
+
+    Parameters
+    ----------
+    json_data : dict, optional
+        JSON data of the ``targetPartition`` field of the ``treeDetails`` field of the
+        ``treePreparationReport`` field of a Khiops JSON report file. If not specified
+        it returns an empty instance.
+
+    Attributes
+    ----------
+    variable : str
+        Variable name.
+    type : "Numerical" (only possible value)
+        Variable type.
+    partition_type : "Intervals" (only possible value)
+        Partition type.
+    partition : list
+        The dimension parts. The list objects are of type `PartInterval`, as
+        ``partition_type`` is "Intervals"
+    frequencies : list of int
+        Frequencies of the intervals in the target partition.
+    """
+
+    def __init__(self, json_data=None):
+        """See class docstring"""
+        # Check the type of json_data
+        if json_data is not None and not isinstance(json_data, dict):
+            raise TypeError(type_error_message("json_data", json_data, dict))
+
+        # Transform to an empty dictionary if json_data is not specified
+        if json_data is None:
+            json_data = {}
+
+        # Initialize basic attributes
+        self.variable = json_data.get("variable", "")
+        self.type = json_data.get("type", "")
+        self.partition_type = json_data.get("partitionType", "")
+
+        # Initialize partition
+        self.partition = []
+        if "partition" in json_data:
+            json_partition = json_data["partition"]
+            if not isinstance(json_partition, list):
+                raise KhiopsJSONError("'partition' must be a list")
+        else:
+            json_partition = []
+
+        # Numerical partition
+        if self.partition_type == "Intervals":
+            # Check the length of the partition
+            if len(json_partition) < 1:
+                raise KhiopsJSONError(
+                    "'partition' for interval must have length at least 1"
+                )
+
+            # Initialize intervals
+            self.partition = [PartInterval(json_part) for json_part in json_partition]
+
+            # Initialize open interval flags
+            first_interval = self.partition[0]
+            if first_interval.is_missing:
+                first_interval = self.partition[1]
+            first_interval.is_left_open = True
+            last_interval = self.partition[-1]
+            last_interval.is_right_open = True
+
+        else:
+            raise KhiopsJSONError("'partitionType' must be 'Intervals'")
+
+        # Set partition element frequencies
+        self.frequencies = json_data.get("frequencies", [])
+
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "variable": self.variable,
+            "type": self.type,
+            "partitionType": self.partition_type,
+            "partition": [part.to_json() for part in self.partition],
+        }
+        if self.frequencies:
+            report["frequencies"] = self.frequencies
+        return report
+
+
+class TreeNode:
+    """A decision tree node
+
+    Parameters
+    ----------
+    json_data : dict, optional
+        JSON data of either:
+
+        - the ``treeNodes`` field of the ``treeDetails`` field of the
+          ``treePreparationReport`` field of a Khiops JSON report file, or
+        - an element of the ``childNodes`` field of the ``treeNodes`` field of the
+          ``treeDetails`` field of the ``treePreparationReport`` field of a Khiops
+          JSON report file.
+
+        If not specified it returns an empty instance
+    parent_id : str, optional
+        Identifier of the parent ``TreeNode`` instance. Not set for "root" nodes.
+
+    Attributes
+    ----------
+    id : str
+        Identifier of the ``TreeNode`` instance.
+    parent_id : str, optional
+        Value of the ``id`` field of another ``TreeNode`` instance. Not set for "root"
+        nodes.
+    variable : str
+        Name of the tree variable.
+    type : str
+        Khiops type of the tree variable.
+    partition : list
+        The tree variable partition.
+    default_group_index : int
+        The index of the default variable group.
+    target_values : list of str
+        Values of a categorical tree target variable.
+    target_value_frequencies : list of int
+        Frequencies of each tree target value. Synchronized with ``target_values``.
+    """
+
+    def __init__(self, json_data=None, parent_id=None):
+        """See class docstring"""
+        # Check the type of json_data
+        if json_data is not None and not isinstance(json_data, dict):
+            raise TypeError(type_error_message("json_data", json_data, dict))
+
+        # Transform to an empty dictionary if json_data is not specified
+        if json_data is None:
+            json_data = {}
+
+        # Set the parent node ID
+        self.parent_id = parent_id
+
+        # Set the target values if applicable
+        json_target_values = json_data.get("targetValues")
+        if json_target_values is not None:
+            self.target_values = json_target_values.get("values")
+            self.target_value_frequencies = json_target_values.get("frequencies")
+        else:
+            self.target_values = None
+            self.target_value_frequencies = None
+
+        # Set the remainder of the node attributes
+        self.id = json_data.get("nodeId")
+        self.variable = json_data.get("variable")
+        self.type = json_data.get("type")
+        self.partition = json_data.get("partition")
+        self.default_group_index = json_data.get("defaultGroupIndex")
+
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+
+        report = {"nodeId": self.id}
+        if self.variable is not None:
+            report["variable"] = self.variable
+        if self.type is not None:
+            report["type"] = self.type
+        if self.partition is not None:
+            report["partition"] = self.partition
+        if self.default_group_index is not None:
+            report["defaultGroupIndex"] = self.default_group_index
+        if self.target_values is not None:
+            report["targetValues"] = {
+                "values": self.target_values,
+                "frequencies": self.target_value_frequencies,
+            }
+        return report
+
+
 class ModlHistogram:
     """A histogram density estimation for numerical data
 
diff --git a/khiops/sklearn/estimators.py b/khiops/sklearn/estimators.py
index 55d6c388..02946e50 100644
--- a/khiops/sklearn/estimators.py
+++ b/khiops/sklearn/estimators.py
@@ -1436,25 +1436,17 @@ def _fit_training_post_process(self, ds):
         else:
             pair_feature_evaluated_names_ = []
             pair_feature_evaluated_levels_ = []
-        if (
-            "treePreparationReport" in self.model_report_.json_data
-            and "variablesStatistics"
-            in self.model_report_.json_data["treePreparationReport"]
-        ):
-            tree_preparation_report = self.model_report_.json_data[
-                "treePreparationReport"
-            ]["variablesStatistics"]
-            tree_feature_evaluated_names_ = [
-                tree_preparation_report[i]["name"]
-                for i in range(0, len(tree_preparation_report))
-            ]
+        if self.model_report_.tree_preparation_report is not None:
+            tree_preparation_report = self.model_report_.tree_preparation_report
+            tree_feature_evaluated_names_ = tree_preparation_report.get_variable_names()
             tree_feature_evaluated_levels_ = [
-                tree_preparation_report[i]["level"]
-                for i in range(0, len(tree_preparation_report))
+                tree_preparation_report.get_variable_statistics(var).level
+                for var in tree_preparation_report.get_variable_names()
             ]
         else:
             tree_feature_evaluated_names_ = []
             tree_feature_evaluated_levels_ = []
+
         feature_evaluated_names_ = (
             univariate_preparation_report.get_variable_names()
             + pair_feature_evaluated_names_
diff --git a/tests/resources/analysis_results/ref_json_reports/IrisRWithTrees.khj b/tests/resources/analysis_results/ref_json_reports/IrisRWithTrees.khj
new file mode 100644
index 00000000..c5538564
--- /dev/null
+++ b/tests/resources/analysis_results/ref_json_reports/IrisRWithTrees.khj
@@ -0,0 +1,1525 @@
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"variables": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 7
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R2": {
+				"selectedVariables": [
+					{
+						"preparedName": "PSepalLength",
+						"name": "SepalLength",
+						"level": 0.0929716,
+						"weight": 0.484375,
+						"importance": 0.21221
+					},
+					{
+						"preparedName": "PClass",
+						"name": "Class",
+						"level": 0.177356,
+						"weight": 0.234375,
+						"importance": 0.203882
+					},
+					{
+						"preparedName": "PTree_5",
+						"name": "Tree_5",
+						"level": 0.130807,
+						"weight": 0.25,
+						"importance": 0.180837
+					},
+					{
+						"preparedName": "PTree_10",
+						"name": "Tree_10",
+						"level": 0.116834,
+						"weight": 0.265625,
+						"importance": 0.176164
+					},
+					{
+						"preparedName": "PTree_3",
+						"name": "Tree_3",
+						"level": 0.142667,
+						"weight": 0.203125,
+						"importance": 0.170233
+					},
+					{
+						"preparedName": "PPetalWidth",
+						"name": "PetalWidth",
+						"level": 0.16322,
+						"weight": 0.109375,
+						"importance": 0.133612
+					},
+					{
+						"preparedName": "PTree_2",
+						"name": "Tree_2",
+						"level": 0.110622,
+						"weight": 0.0625,
+						"importance": 0.0831499
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.80142,
+				"mae": 1.62949,
+				"nlpd": 1.22759,
+				"rankRmse": 0.28832,
+				"rankMae": 0.249977,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"rmse": 0.372756,
+				"mae": 0.275902,
+				"nlpd": 0.120951,
+				"rankRmse": 0.0925352,
+				"rankMae": 0.0778389,
+				"rankNlpd": -1.10664
+			}
+		],
+		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,3.80952,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,5.71429,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,9.52381,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,14.2857,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,17.1429,18.0952,18.0952,18.0952,18.0952,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,21.9048,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,23.8095,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,24.7619,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,28.5714,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,37.1429,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,44.7619,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,49.5238,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,51.4286,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,52.381,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,63.8095,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,66.6667,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,72.381,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,80.9524,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,83.8095,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,85.7143,86.6667,86.6667,86.6667,86.6667,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,90.4762,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,95.2381,97.1429,97.1429,97.1429,97.1429,97.1429,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Selective Naive Bayes",
+				"values": [0,0,0.952381,1.90476,1.90476,1.90476,1.90476,1.90476,1.90476,1.90476,1.90476,6.66667,6.66667,7.61905,8.57143,8.57143,8.57143,8.57143,9.52381,9.52381,9.52381,10.4762,10.4762,10.4762,10.4762,10.4762,10.4762,11.4286,20.9524,20.9524,20.9524,20.9524,24.7619,24.7619,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,30.4762,31.4286,31.4286,31.4286,32.381,34.2857,34.2857,34.2857,34.2857,34.2857,34.2857,35.2381,36.1905,36.1905,37.1429,39.0476,39.0476,40,40,40.9524,49.5238,49.5238,49.5238,53.3333,53.3333,53.3333,53.3333,54.2857,54.2857,54.2857,54.2857,54.2857,54.2857,56.1905,58.0952,58.0952,58.0952,59.0476,59.0476,59.0476,59.0476,60.9524,61.9048,61.9048,61.9048,61.9048,62.8571,62.8571,63.8095,63.8095,63.8095,63.8095,64.7619,64.7619,64.7619,69.5238,71.4286,71.4286,71.4286,71.4286,71.4286,72.381,72.381,72.381,72.381,72.381,72.381,75.2381,75.2381,75.2381,75.2381,75.2381,75.2381,75.2381,77.1429,78.0952,78.0952,78.0952,78.0952,78.0952,78.0952,78.0952,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,81.9048,82.8571,84.7619,84.7619,84.7619,84.7619,84.7619,84.7619,84.7619,88.5714,88.5714,88.5714,88.5714,88.5714,88.5714,88.5714,88.5714,90.4762,90.4762,90.4762,90.4762,91.4286,91.4286,92.381,92.381,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,94.2857,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,96.1905,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,98.0952,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,99.0476,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			}
+		]
+	},
+	"testEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Test",
+		"summary": {
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Exclude sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 45,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Regressor",
+				"family": "Baseline",
+				"name": "Baseline",
+				"rmse": 1.65697,
+				"mae": 1.44682,
+				"nlpd": 1.45393,
+				"rankRmse": 0.26541,
+				"rankMae": 0.212804,
+				"rankNlpd": 0
+			},
+			{
+				"rank": "R2",
+				"type": "Regressor",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"rmse": 0.336889,
+				"mae": 0.249899,
+				"nlpd": 0.339565,
+				"rankRmse": 0.079068,
+				"rankMae": 0.0674958,
+				"rankNlpd": -1.11436
+			}
+		],
+		"recCurves": [
+			{
+				"regressor": "Baseline",
+				"values": [0,0,0,0,0,0,0,0,0,0,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,15.5556,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,17.7778,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,31.1111,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,35.5556,35.5556,35.5556,35.5556,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,37.7778,40,40,40,40,40,40,40,40,40,40,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,42.2222,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,46.6667,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,53.3333,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,62.2222,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,71.1111,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,84.4444,86.6667,86.6667,86.6667,86.6667,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			},
+			{
+				"regressor": "Selective Naive Bayes",
+				"values": [0,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,2.22222,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,11.1111,22.2222,22.2222,22.2222,22.2222,22.2222,22.2222,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,33.3333,37.7778,37.7778,37.7778,37.7778,40,40,40,40,40,40,46.6667,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,48.8889,51.1111,57.7778,57.7778,57.7778,60,60,60,60,62.2222,62.2222,62.2222,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,64.4444,66.6667,66.6667,68.8889,68.8889,68.8889,68.8889,71.1111,71.1111,71.1111,75.5556,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,77.7778,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,82.2222,84.4444,84.4444,86.6667,86.6667,86.6667,86.6667,86.6667,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,93.3333,95.5556,95.5556,95.5556,95.5556,95.5556,95.5556,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,97.7778,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					4
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength",
+			"targetDescriptiveStats": {
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"evaluatedVariables": 4,
+			"informativeVariables": 4,
+			"selectedVariables": 3,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 0,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 10,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 0,
+				"dataCost": 386.913
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R1",
+				"name": "Class",
+				"type": "Categorical",
+				"level": 0.177356,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 3,
+				"mode": "Iris-setosa",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 2.07944,
+				"preparationCost": 27.7604,
+				"dataCost": 289.022
+			},
+			{
+				"rank": "R2",
+				"name": "PetalWidth",
+				"type": "Numerical",
+				"level": 0.16322,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 21,
+				"min": 0.1,
+				"max": 2.5,
+				"mean": 1.175238095,
+				"stdDev": 0.7880996979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 2.07944,
+				"preparationCost": 27.7841,
+				"dataCost": 294.477
+			},
+			{
+				"rank": "R3",
+				"name": "SepalLength",
+				"type": "Numerical",
+				"level": 0.0929716,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 31,
+				"min": 4.3,
+				"max": 7.7,
+				"mean": 5.827619048,
+				"stdDev": 0.8375127846,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 2.07944,
+				"preparationCost": 27.7674,
+				"dataCost": 321.722
+			},
+			{
+				"rank": "R4",
+				"name": "SepalWidth",
+				"type": "Numerical",
+				"level": 0.0223498,
+				"targetParts": 2,
+				"parts": 3,
+				"values": 23,
+				"min": 2,
+				"max": 4.4,
+				"mean": 3.081904762,
+				"stdDev": 0.4284592446,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 2.07944,
+				"preparationCost": 15.5614,
+				"dataCost": 361.302
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,1,34],
+						[0,29,3]
+					],
+					"partInterests": [0.385065,0.320788,0.294147]
+				},
+				"inputValues": {
+					"values": ["Iris-setosa","Iris-virginica","Iris-versicolor"],
+					"frequencies": [38,35,32]
+				}
+			},
+			"R2": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0.1,0.75],
+								[0.75,1.55],
+								[1.55,2.5]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.75],
+								[4.75,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,25,4],
+						[0,2,36]
+					],
+					"partInterests": [0.409025,0.277246,0.313729]
+				}
+			},
+			"R3": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[4.3,5.45],
+								[5.45,6.15],
+								[6.15,7.7]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,3.55],
+								[3.55,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[37,2,0],
+						[5,18,5],
+						[0,6,32]
+					],
+					"partInterests": [0.452028,0.152867,0.395105]
+				}
+			},
+			"R4": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "SepalWidth",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[2,2.85],
+								[2.85,3.35],
+								[3.35,4.4]
+							]
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,30],
+						[17,32],
+						[21,5]
+					],
+					"partInterests": [0.553199,0.000981364,0.445819]
+				}
+			}
+		}
+	},
+	"treePreparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "Iris",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical"
+				],
+				"numbers": [
+					1,
+					4
+				]
+			},
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 70,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 105,
+			"learningTask": "Regression analysis",
+			"targetVariable": "PetalLength",
+			"targetDescriptiveStats": {
+				"values": 36,
+				"min": 1,
+				"max": 6.9,
+				"mean": 3.686666667,
+				"stdDev": 1.80132579,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"evaluatedVariables": 8,
+			"informativeVariables": 8,
+			"selectedVariables": 4
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R1",
+				"name": "Tree_1",
+				"type": "Categorical",
+				"level": 0.150595,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 3,
+				"mode": "L2",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 12.4523,
+				"preparationCost": 27.7604,
+				"dataCost": 289.022,
+				"derivationRule": "SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\", \"Iris-versicolor\", \" * \"), ValueGroup(\"Iris-setosa\")), Class), \"L0\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L3\", \"L4\"), \"L2\")"
+			},
+			{
+				"rank": "R2",
+				"name": "Tree_4",
+				"type": "Categorical",
+				"level": 0.14334,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 3,
+				"mode": "L1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 15.2643,
+				"preparationCost": 27.7604,
+				"dataCost": 289.022,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(0.75), PetalWidth), \"L0\", \"L1\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L3\", \"L4\"))"
+			},
+			{
+				"rank": "R3",
+				"name": "Tree_3",
+				"type": "Categorical",
+				"level": 0.142667,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 3,
+				"mode": "L1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 12.7794,
+				"preparationCost": 27.7637,
+				"dataCost": 291.764,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(0.75), PetalWidth), \"L0\", \"L1\", SwitchC(IntervalIndex(IntervalBounds(1.75), PetalWidth), \"L0\", \"L3\", \"L4\"))"
+			},
+			{
+				"rank": "R4",
+				"name": "Tree_5",
+				"type": "Categorical",
+				"level": 0.130807,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 4,
+				"mode": "L5",
+				"modeFrequency": 37,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 16.1997,
+				"preparationCost": 28.238,
+				"dataCost": 292.466,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(5.75), SepalLength), \"L0\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-setosa\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L5\", \"L6\"), SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L3\", \"L4\"))"
+			},
+			{
+				"rank": "R5",
+				"name": "Tree_10",
+				"type": "Categorical",
+				"level": 0.116834,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 4,
+				"mode": "L1",
+				"modeFrequency": 38,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 19.3372,
+				"preparationCost": 28.1841,
+				"dataCost": 294.799,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(0.75), PetalWidth), \"L0\", \"L1\", SwitchC(IntervalIndex(IntervalBounds(6.25), SepalLength), \"L0\", \"L3\", SwitchC(IntervalIndex(IntervalBounds(1.75), PetalWidth), \"L2\", \"L5\", \"L6\")))"
+			},
+			{
+				"rank": "R6",
+				"name": "Tree_6",
+				"type": "Categorical",
+				"level": 0.114081,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 4,
+				"mode": "L5",
+				"modeFrequency": 37,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 22.683,
+				"preparationCost": 28.238,
+				"dataCost": 292.466,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(5.75), SepalLength), \"L0\", SwitchC(IntervalIndex(IntervalBounds(0.75), PetalWidth), \"L0\", \"L5\", \"L6\"), SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L3\", \"L4\"))"
+			},
+			{
+				"rank": "R7",
+				"name": "Tree_2",
+				"type": "Categorical",
+				"level": 0.110622,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 4,
+				"mode": "L5",
+				"modeFrequency": 37,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 19.59,
+				"preparationCost": 28.238,
+				"dataCost": 296.9,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(5.75), SepalLength), \"L0\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-setosa\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L0\", \"L5\", \"L6\"), SwitchC(IntervalIndex(IntervalBounds(1.65), PetalWidth), \"L0\", \"L3\", \"L4\"))"
+			},
+			{
+				"rank": "R8",
+				"name": "Tree_8",
+				"type": "Categorical",
+				"level": 0.090564,
+				"targetParts": 3,
+				"parts": 3,
+				"values": 5,
+				"mode": "L7",
+				"modeFrequency": 37,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 28.26,
+				"preparationCost": 28.7915,
+				"dataCost": 295.451,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(5.75), SepalLength), \"L0\", SwitchC(IntervalIndex(IntervalBounds(0.75), PetalWidth), \"L0\", \"L7\", \"L8\"), SwitchC(IntervalIndex(IntervalBounds(6.15), SepalLength), \"L0\", \"L3\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"Iris-virginica\"), ValueGroup(\"Iris-versicolor\", \" * \")), Class), \"L2\", \"L5\", \"L6\")))"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L2"],
+								["L3"],
+								["L4"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,1,34],
+						[0,29,3]
+					],
+					"partInterests": [0.385065,0.320788,0.294147]
+				},
+				"inputValues": {
+					"values": ["L2","L3","L4"],
+					"frequencies": [38,35,32]
+				}
+			},
+			"R2": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_4",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L1"],
+								["L3"],
+								["L4"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.85],
+								[4.85,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,1,34],
+						[0,29,3]
+					],
+					"partInterests": [0.385065,0.320788,0.294147]
+				},
+				"inputValues": {
+					"values": ["L1","L3","L4"],
+					"frequencies": [38,35,32]
+				}
+			},
+			"R3": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_3",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L1"],
+								["L4"],
+								["L3"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.75],
+								[4.75,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,0,0],
+						[0,0,34],
+						[0,27,6]
+					],
+					"partInterests": [0.393109,0.333978,0.272913]
+				},
+				"inputValues": {
+					"values": ["L1","L4","L3"],
+					"frequencies": [38,34,33]
+				}
+			},
+			"R4": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_5",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L5"],
+								["L4"],
+								["L3"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,5.05],
+								[5.05,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[37,0,0],
+						[1,33,1],
+						[0,3,30]
+					],
+					"partInterests": [0.392251,0.29736,0.310389]
+				},
+				"inputValues": {
+					"values": ["L5","L3","L4","L6"],
+					"frequencies": [37,33,19,16]
+				}
+			},
+			"R5": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_10",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L3"],
+								["L1"],
+								["L6"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,5.15],
+								[5.15,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[0,37,2],
+						[38,0,0],
+						[0,4,24]
+					],
+					"partInterests": [0.315599,0.410444,0.273957]
+				},
+				"inputValues": {
+					"values": ["L1","L3","L6","L5"],
+					"frequencies": [38,30,28,9]
+				}
+			},
+			"R6": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_6",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L5"],
+								["L4"],
+								["L3"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,5.05],
+								[5.05,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[37,0,0],
+						[1,33,1],
+						[0,3,30]
+					],
+					"partInterests": [0.392251,0.29736,0.310389]
+				},
+				"inputValues": {
+					"values": ["L5","L3","L4","L6"],
+					"frequencies": [37,33,19,16]
+				}
+			},
+			"R7": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_2",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L5"],
+								["L3"],
+								["L4"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,4.75],
+								[4.75,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[37,0,0],
+						[1,27,7],
+						[0,0,33]
+					],
+					"partInterests": [0.408464,0.245616,0.34592]
+				},
+				"inputValues": {
+					"values": ["L5","L4","L3","L6"],
+					"frequencies": [37,33,19,16]
+				}
+			},
+			"R8": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_8",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L8"],
+								["L7"],
+								["L5"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "PetalLength",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[1,2.4],
+								[2.4,5.05],
+								[5.05,6.9]
+							]
+						}
+					],
+					"partTargetFrequencies": [
+						[1,34,3],
+						[37,0,0],
+						[0,2,28]
+					],
+					"partInterests": [0.281177,0.40614,0.312682]
+				},
+				"inputValues": {
+					"values": ["L7","L5","L8","L3","L6"],
+					"frequencies": [37,30,16,14,8]
+				}
+			}
+		},
+		"treeDetails": {
+			"R1": {
+				"name": "Tree_1",
+				"variableNumber": 1,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.75],
+						[4.75,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,27,3,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "Class",
+					"type": "Categorical",
+					"partition": [
+						["Iris-virginica","Iris-versicolor"],
+						["Iris-setosa"]
+					],
+					"defaultGroupIndex": 0,
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I2","I3"],
+										"frequencies": [1,34]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I1","I2","I3"],
+										"frequencies": [27,2,3]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"targetValues": {
+								"values": ["I0"],
+								"frequencies": [38]
+							}
+						}
+					]
+				}
+			},
+			"R2": {
+				"name": "Tree_4",
+				"variableNumber": 2,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,30,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "PetalWidth",
+					"type": "Numerical",
+					"partition": [
+						[0.1,0.75],
+						[0.75,2.5]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"targetValues": {
+								"values": ["I0"],
+								"frequencies": [38]
+							}
+						},
+						{
+							"nodeId": "L2",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [1,34]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [29,3]
+									}
+								}
+							]
+						}
+					]
+				}
+			},
+			"R3": {
+				"name": "Tree_3",
+				"variableNumber": 1,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,30,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "PetalWidth",
+					"type": "Numerical",
+					"partition": [
+						[0.1,0.75],
+						[0.75,2.5]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"targetValues": {
+								"values": ["I0"],
+								"frequencies": [38]
+							}
+						},
+						{
+							"nodeId": "L2",
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partition": [
+								[1,1.75],
+								[1.75,2.5]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [28,5]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [2,32]
+									}
+								}
+							]
+						}
+					]
+				}
+			},
+			"R4": {
+				"name": "Tree_5",
+				"variableNumber": 2,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,3.55],
+						[3.55,4.75],
+						[4.75,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [42,23,3,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "SepalLength",
+					"type": "Numerical",
+					"partition": [
+						[4.3,5.75],
+						[5.75,7.7]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L5",
+									"targetValues": {
+										"values": ["I0"],
+										"frequencies": [37]
+									}
+								},
+								{
+									"nodeId": "L6",
+									"targetValues": {
+										"values": ["I0","I1","I3"],
+										"frequencies": [4,10,2]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I2","I3"],
+										"frequencies": [1,32]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I0","I1","I2","I3"],
+										"frequencies": [1,13,2,3]
+									}
+								}
+							]
+						}
+					]
+				}
+			},
+			"R5": {
+				"name": "Tree_10",
+				"variableNumber": 2,
+				"depth": 4,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,30,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "PetalWidth",
+					"type": "Numerical",
+					"partition": [
+						[0.1,0.75],
+						[0.75,2.5]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"targetValues": {
+								"values": ["I0"],
+								"frequencies": [38]
+							}
+						},
+						{
+							"nodeId": "L2",
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partition": [
+								[4.9,6.25],
+								[6.25,7.7]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [24,6]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"variable": "PetalWidth",
+									"type": "Numerical",
+									"partition": [
+										[1.3,1.75],
+										[1.75,2.5]
+									],
+									"childNodes": [
+										{
+											"nodeId": "L5",
+											"targetValues": {
+												"values": ["I1","I2"],
+												"frequencies": [6,3]
+											}
+										},
+										{
+											"nodeId": "L6",
+											"targetValues": {
+												"values": ["I2"],
+												"frequencies": [28]
+											}
+										}
+									]
+								}
+							]
+						}
+					]
+				}
+			},
+			"R6": {
+				"name": "Tree_6",
+				"variableNumber": 3,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.75],
+						[4.75,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,27,3,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "SepalLength",
+					"type": "Numerical",
+					"partition": [
+						[4.3,5.75],
+						[5.75,7.7]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partition": [
+								[0.1,0.75],
+								[0.75,2]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L5",
+									"targetValues": {
+										"values": ["I0"],
+										"frequencies": [37]
+									}
+								},
+								{
+									"nodeId": "L6",
+									"targetValues": {
+										"values": ["I1","I3"],
+										"frequencies": [14,2]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-virginica"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I2","I3"],
+										"frequencies": [1,32]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I0","I1","I2","I3"],
+										"frequencies": [1,13,2,3]
+									}
+								}
+							]
+						}
+					]
+				}
+			},
+			"R7": {
+				"name": "Tree_2",
+				"variableNumber": 3,
+				"depth": 3,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,3.55],
+						[3.55,4.75],
+						[4.75,6.9]
+					],
+					"frequencies": [38,4,23,40]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "SepalLength",
+					"type": "Numerical",
+					"partition": [
+						[4.3,5.75],
+						[5.75,7.7]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "Class",
+							"type": "Categorical",
+							"partition": [
+								["Iris-setosa"],
+								["Iris-versicolor"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L5",
+									"targetValues": {
+										"values": ["I0"],
+										"frequencies": [37]
+									}
+								},
+								{
+									"nodeId": "L6",
+									"targetValues": {
+										"values": ["I1","I2","I3"],
+										"frequencies": [4,10,2]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partition": [
+								[0.2,1.65],
+								[1.65,2.5]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I0","I2","I3"],
+										"frequencies": [1,13,5]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["I3"],
+										"frequencies": [33]
+									}
+								}
+							]
+						}
+					]
+				}
+			},
+			"R8": {
+				"name": "Tree_8",
+				"variableNumber": 3,
+				"depth": 4,
+				"targetPartition": {
+					"variable": "PetalLength",
+					"type": "Numerical",
+					"partitionType": "Intervals",
+					"partition": [
+						[1,2.4],
+						[2.4,4.85],
+						[4.85,6.9]
+					],
+					"frequencies": [38,30,37]
+				},
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "SepalLength",
+					"type": "Numerical",
+					"partition": [
+						[4.3,5.75],
+						[5.75,7.7]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "PetalWidth",
+							"type": "Numerical",
+							"partition": [
+								[0.1,0.75],
+								[0.75,2]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L7",
+									"targetValues": {
+										"values": ["I0"],
+										"frequencies": [37]
+									}
+								},
+								{
+									"nodeId": "L8",
+									"targetValues": {
+										"values": ["I1","I2"],
+										"frequencies": [14,2]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"variable": "SepalLength",
+							"type": "Numerical",
+							"partition": [
+								[5.8,6.15],
+								[6.15,7.7]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["I0","I1","I2"],
+										"frequencies": [1,10,3]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"variable": "Class",
+									"type": "Categorical",
+									"partition": [
+										["Iris-virginica"],
+										["Iris-versicolor"]
+									],
+									"defaultGroupIndex": 1,
+									"childNodes": [
+										{
+											"nodeId": "L5",
+											"targetValues": {
+												"values": ["I2"],
+												"frequencies": [30]
+											}
+										},
+										{
+											"nodeId": "L6",
+											"targetValues": {
+												"values": ["I1","I2"],
+												"frequencies": [6,2]
+											}
+										}
+									]
+								}
+							]
+						}
+					]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/resources/analysis_results/ref_json_reports/SpliceJunctionWithTrees.khj b/tests/resources/analysis_results/ref_json_reports/SpliceJunctionWithTrees.khj
new file mode 100644
index 00000000..e7b4e40f
--- /dev/null
+++ b/tests/resources/analysis_results/ref_json_reports/SpliceJunctionWithTrees.khj
@@ -0,0 +1,2475 @@
+{
+	"tool": "Khiops",
+	"version": "VERSION",
+	"shortDescription": "",
+	"modelingReport": {
+		"reportType": "Modeling",
+		"summary": {
+			"dictionary": "SpliceJunction",
+			"database": "..\/..\/..\/MTdatasets\/SpliceJunction\/SpliceJunction.txt",
+			"samplePercentage": 10,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"trainedPredictors": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"variables": 8
+			}
+		],
+		"trainedPredictorsDetails": {
+			"R1": {
+				"selectedVariables": [
+					{
+						"preparedName": "PMode(DNA.Char) where Pos <= 30.5",
+						"name": "Mode(DNA.Char) where Pos <= 30.5",
+						"level": 0.0731216,
+						"weight": 0.347656,
+						"importance": 0.15944
+					},
+					{
+						"preparedName": "PMode(DNA.Char) where Pos in ]15.5, 30.5]",
+						"name": "Mode(DNA.Char) where Pos in ]15.5, 30.5]",
+						"level": 0.0495677,
+						"weight": 0.441406,
+						"importance": 0.147917
+					},
+					{
+						"preparedName": "PMode(DNA.Char)",
+						"name": "Mode(DNA.Char)",
+						"level": 0.0447911,
+						"weight": 0.457031,
+						"importance": 0.143077
+					},
+					{
+						"preparedName": "PMedian(DNA.Pos) where Char = G",
+						"name": "Median(DNA.Pos) where Char = G",
+						"level": 0.0212659,
+						"weight": 0.425781,
+						"importance": 0.0951557
+					},
+					{
+						"preparedName": "PMean(DNA.Pos) where Char = G",
+						"name": "Mean(DNA.Pos) where Char = G",
+						"level": 0.0261259,
+						"weight": 0.269531,
+						"importance": 0.0839152
+					},
+					{
+						"preparedName": "PCount(DNA) where Char = G",
+						"name": "Count(DNA) where Char = G",
+						"level": 0.0147548,
+						"weight": 0.347656,
+						"importance": 0.0716213
+					},
+					{
+						"preparedName": "PMedian(DNA.Pos) where Char = C",
+						"name": "Median(DNA.Pos) where Char = C",
+						"level": 0.00882745,
+						"weight": 0.300781,
+						"importance": 0.051528
+					},
+					{
+						"preparedName": "PTree_1",
+						"name": "Tree_1",
+						"level": 0.0257056,
+						"weight": 0.0351562,
+						"importance": 0.0300618
+					}
+				]
+			}
+		}
+	},
+	"trainEvaluationReport": {
+		"reportType": "Evaluation",
+		"evaluationType": "Train",
+		"summary": {
+			"dictionary": "SpliceJunction",
+			"database": "..\/..\/..\/MTdatasets\/SpliceJunction\/SpliceJunction.txt",
+			"samplePercentage": 10,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 303,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class"
+		},
+		"predictorsPerformance": [
+			{
+				"rank": "R1",
+				"type": "Classifier",
+				"family": "Selective Naive Bayes",
+				"name": "Selective Naive Bayes",
+				"accuracy": 0.646865,
+				"compression": 0.266328,
+				"auc": 0.788243
+			}
+		],
+		"predictorsDetailedPerformance": {
+			"R1": {
+				"confusionMatrix": {
+					"values": ["EI","IE","N"],
+					"matrix": [
+						[7,1,2],
+						[5,42,18],
+						[55,26,147]
+					]
+				}
+			}
+		},
+		"liftCurves": [
+			{
+				"targetValue": "EI",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.452239,0.904478,1.35672,1.80896,2.26119,2.71343,3.16567,3.61791,4.07015,4.52239,4.97463,5.42687,5.8791,6.33134,6.78358,7.23582,7.68806,8.1403,8.59254,9.04478,9.49701,9.94925,10.4015,10.8537,11.306,11.7582,12.2104,12.6627,13.1149,13.5672,14.0194,14.4716,14.9239,15.3761,15.8284,16.2806,16.7328,17.1851,17.6373,18.0896,18.5418,18.994,19.4463,19.8985,20.3507,20.803,21.2552,21.7075,22.1597,22.6119,23.0642,23.5164,23.9687,24.4209,24.8731,25.3254,25.7776,26.2299,26.6821,27.1343,27.5866,28.0388,28.491,28.9433,29.3955,29.8478,30.3,30.7522,31.2045,31.6567,32.109,32.5612,33.0134,33.4657,33.9179,34.3701,34.8224,35.2746,35.7269,36.1791,36.6313,37.0836,37.5358,37.9881,38.4403,38.8925,39.3448,39.797,40.2493,40.7015,41.1537,41.606,42.0582,42.5104,42.9627,43.4149,43.8672,44.3194,44.7716,45.2239,45.6761,46.1284,46.5806,47.0328,47.4851,47.9373,48.3896,48.8418,49.294,49.7463,50.1985,50.6507,51.103,51.5552,52.0075,52.4597,52.9119,53.3642,53.8164,54.2687,54.7209,55.1731,55.6254,56.0776,56.5299,56.9821,57.4343,57.8866,58.3388,58.791,59.2433,59.6955,60.1478,60.6,61.0522,61.5045,61.9567,62.409,62.8612,63.3134,63.7657,64.2179,64.6701,65.1224,65.5746,66.0269,66.4791,66.9313,67.3836,67.8358,68.2881,68.7403,69.1925,69.6448,70.097,70.5493,71.0015,71.4537,71.906,72.3582,72.8104,73.2627,73.7149,74.1672,74.6194,75.0716,75.5239,75.9761,76.4284,76.8806,77.3328,77.7851,78.2373,78.6896,79.1418,79.594,80.0463,80.4985,80.9507,81.403,81.8552,82.3075,82.7597,83.2119,83.6642,84.1164,84.5687,85.0209,85.4731,85.9254,86.3776,86.8299,87.2821,87.7343,88.1866,88.6388,89.091,89.5433,89.9955,90.4478,90.9,91.3522,91.8045,92.2567,92.709,93.1612,93.6134,94.0657,94.5179,94.9701,95.4224,95.8746,96.3269,96.7791,97.2313,97.6836,98.1358,98.5881,99.0403,99.4925,99.9448,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.452239,0.904478,1.35672,1.80896,2.26119,2.71343,3.16567,3.61791,4.07015,4.49254,4.64328,4.79403,4.94478,5.09552,5.24627,5.39701,5.54776,5.69851,5.84925,6.01493,6.24104,6.46716,6.69328,6.9194,7.14552,7.37164,7.50771,7.58308,7.65846,7.73383,7.8092,7.88458,7.95995,8.03532,8.1107,8.18607,8.26144,8.33682,8.41219,8.48756,8.56294,8.63831,8.71368,8.78905,8.86443,8.9398,9.13507,9.36119,9.58731,9.81343,10.0396,10.2657,10.5006,10.7719,11.0433,11.3146,11.586,11.8573,12.1287,12.4,12.6713,12.9427,13.214,13.4854,13.7567,14.0281,14.2994,14.5707,14.8421,15.2388,15.691,16.1433,16.5955,17.0478,17.5,17.9522,18.4045,18.8567,19.309,19.7612,20.2134,20.6657,20.8955,20.8955,20.8955,20.9388,21.1649,21.391,21.6172,21.8433,22.0694,22.2955,22.5216,22.7478,22.9739,23.2,23.4261,23.6522,23.8784,23.8806,23.8806,23.8806,24.0366,24.2627,24.4888,24.7149,24.941,25.1672,25.3899,25.5784,25.7668,25.9552,26.1437,26.3321,26.5205,26.709,26.8974,27.0858,27.2743,27.4627,27.6511,27.8396,28.028,28.2164,28.4049,28.5933,28.7817,28.9701,29.1586,29.347,29.5354,29.7239,29.9123,30.1007,30.2892,30.4776,30.666,30.8545,31.0429,31.2313,31.4198,31.6082,31.7966,31.9851,32.1735,32.3619,32.5504,32.7388,32.8358,32.8358,32.8358,32.9194,33.3716,33.8239,34.2761,34.3284,34.3284,34.3284,34.5045,34.806,35.1075,35.409,35.7104,36.0119,36.3134,36.6149,36.9164,37.2179,37.3134,37.3134,37.3134,37.3134,37.3134,37.3134,37.3134,37.3134,37.3134,37.3134,37.6672,38.1194,38.5716,39.0239,39.4761,39.9284,40.2985,40.2985,40.2985,40.2985,40.4479,40.6175,40.7871,40.9567,41.1263,41.2959,41.4655,41.6351,41.8047,41.9743,42.1438,42.3134,42.483,42.6526,42.8222,42.9918,43.1614,43.331,43.5006,43.6701,43.8397,44.0093,44.1789,44.3485,44.5181,44.6877,44.7761,44.7761,44.7761,44.7761,44.7761,44.7761,44.7761,45.1731,45.6254,46.0776,46.2687,46.2687,46.2687,46.394,46.8463,47.2985,47.7507,47.9821,48.2082,48.4343,48.6604,48.8866,49.1127,49.3267,49.5205,49.7143,49.9081,50.1019,50.2957,50.4896,50.6834,50.8772,51.071,51.2648,51.4586,51.6525,51.8463,52.0401,52.2339,52.4277,52.6215,52.8154,53.0092,53.203,53.3968,53.5906,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.7313,53.9896,54.4418,54.894,55.2239,55.2239,55.2239,55.2239,55.4433,55.6694,55.8955,56.1216,56.3478,56.5739,56.8279,57.1294,57.4308,57.7323,58.0338,58.3353,58.6368,58.9383,59.2398,59.5413,59.7015,59.7015,59.7015,59.7015,59.7015,59.7015,59.7015,59.8978,60.1239,60.35,60.5761,60.8022,61.0284,61.2545,61.4806,61.7067,61.9328,62.159,62.3851,62.6112,62.6866,62.6866,62.6866,62.8522,63.3045,63.7567,64.209,64.6612,65.1134,65.5657,65.8448,66.0709,66.297,66.5231,66.7493,66.9754,67.1642,67.1642,67.1642,67.1642,67.1642,67.1642,67.1642,67.1925,67.2428,67.293,67.3433,67.3935,67.4438,67.494,67.5443,67.5945,67.6448,67.695,67.7453,67.7955,67.8458,67.896,67.9463,67.9965,68.0468,68.097,68.1473,68.1975,68.2478,68.298,68.3483,68.3985,68.4488,68.499,68.5493,68.5995,68.6498,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.6567,68.7149,68.941,69.1672,69.3933,69.6194,69.8455,70.0716,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.1493,70.2081,70.3373,70.4665,70.5957,70.7249,70.8542,70.9834,71.1126,71.2418,71.371,71.5002,71.6294,71.7586,71.8878,72.0171,72.1463,72.2755,72.4047,72.5339,72.6631,72.7923,72.9215,73.0507,73.294,73.7463,74.1985,74.6507,75.103,75.5552,76.0075,76.4597,76.9119,77.3642,77.6119,77.6119,77.6119,77.6806,78.1328,78.5851,79.0373,79.1045,79.1045,79.1045,79.1876,79.3383,79.4891,79.6398,79.7905,79.9413,80.092,80.2428,80.3935,80.5443,80.695,80.8458,80.9965,81.1473,81.298,81.4488,81.5995,81.7502,81.901,82.0517,82.2025,82.3532,82.504,82.6547,82.8055,82.9562,83.107,83.2577,83.4085,83.5592,83.7739,84,84.2261,84.4522,84.6784,84.9045,85.0746,85.0746,85.0746,85.0746,85.0746,85.0746,85.0746,85.0746,85.0746,85.0746,85.153,85.3791,85.6052,85.8313,86.0575,86.2836,86.5097,86.5672,86.5672,86.5672,86.6679,86.894,87.1201,87.3463,87.5724,87.7985,88.0246,88.0597,88.0597,88.0597,88.0597,88.0597,88.0597,88.0735,88.13,88.1866,88.2431,88.2996,88.3562,88.4127,88.4692,88.5257,88.5823,88.6388,88.6953,88.7519,88.8084,88.8649,88.9215,88.978,89.0345,89.091,89.1476,89.2041,89.2606,89.3172,89.3737,89.4302,89.4868,89.5433,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5522,89.5894,89.6396,89.6899,89.7401,89.7904,89.8406,89.8909,89.9411,89.9914,90.0416,90.0919,90.1421,90.1924,90.2426,90.2929,90.3431,90.3934,90.4436,90.4939,90.5441,90.5944,90.6446,90.6949,90.7451,90.7954,90.8456,90.8959,90.9461,90.9964,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0448,91.0464,91.0967,91.1469,91.1972,91.2474,91.2977,91.3479,91.3982,91.4484,91.4987,91.5489,91.5992,91.6494,91.6997,91.7499,91.8002,91.8504,91.9007,91.9509,92.0012,92.0514,92.1017,92.1519,92.2022,92.2524,92.3027,92.3529,92.4032,92.4534,92.5036,92.5373,92.5373,92.5373,92.5507,93.003,93.4552,93.9075,94.3597,94.8119,95.2642,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5224,95.5455,95.5998,95.654,95.7083,95.7626,95.8168,95.8711,95.9254,95.9796,96.0339,96.0882,96.1424,96.1967,96.251,96.3053,96.3595,96.4138,96.4681,96.5223,96.5766,96.6309,96.6851,96.7394,96.7937,96.8479,96.9022,96.9565,97.0107,97.065,97.1193,97.1736,97.2278,97.2821,97.3364,97.3906,97.4449,97.4992,97.5534,97.6077,97.662,97.7162,97.7705,97.8248,97.879,97.9333,97.9876,98.0419,98.0961,98.1504,98.2047,98.2589,98.3132,98.3675,98.4217,98.476,98.5303,98.5845,98.6388,98.6931,98.7473,98.8016,98.8559,98.9101,98.9644,99.0187,99.073,99.1272,99.1815,99.2358,99.29,99.3443,99.3986,99.4528,99.5071,99.5614,99.6156,99.6699,99.7242,99.7784,99.8327,99.887,99.9413,99.9955,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "IE",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.43913,0.878261,1.31739,1.75652,2.19565,2.63478,3.07391,3.51304,3.95217,4.3913,4.83043,5.26957,5.7087,6.14783,6.58696,7.02609,7.46522,7.90435,8.34348,8.78261,9.22174,9.66087,10.1,10.5391,10.9783,11.4174,11.8565,12.2957,12.7348,13.1739,13.613,14.0522,14.4913,14.9304,15.3696,15.8087,16.2478,16.687,17.1261,17.5652,18.0043,18.4435,18.8826,19.3217,19.7609,20.2,20.6391,21.0783,21.5174,21.9565,22.3957,22.8348,23.2739,23.713,24.1522,24.5913,25.0304,25.4696,25.9087,26.3478,26.787,27.2261,27.6652,28.1043,28.5435,28.9826,29.4217,29.8609,30.3,30.7391,31.1783,31.6174,32.0565,32.4957,32.9348,33.3739,33.813,34.2522,34.6913,35.1304,35.5696,36.0087,36.4478,36.887,37.3261,37.7652,38.2043,38.6435,39.0826,39.5217,39.9609,40.4,40.8391,41.2783,41.7174,42.1565,42.5957,43.0348,43.4739,43.913,44.3522,44.7913,45.2304,45.6696,46.1087,46.5478,46.987,47.4261,47.8652,48.3043,48.7435,49.1826,49.6217,50.0609,50.5,50.9391,51.3783,51.8174,52.2565,52.6957,53.1348,53.5739,54.013,54.4522,54.8913,55.3304,55.7696,56.2087,56.6478,57.087,57.5261,57.9652,58.4043,58.8435,59.2826,59.7217,60.1609,60.6,61.0391,61.4783,61.9174,62.3565,62.7957,63.2348,63.6739,64.113,64.5522,64.9913,65.4304,65.8696,66.3087,66.7478,67.187,67.6261,68.0652,68.5043,68.9435,69.3826,69.8217,70.2609,70.7,71.1391,71.5783,72.0174,72.4565,72.8957,73.3348,73.7739,74.213,74.6522,75.0913,75.5304,75.9696,76.4087,76.8478,77.287,77.7261,78.1652,78.6043,79.0435,79.4826,79.9217,80.3609,80.8,81.2391,81.6783,82.1174,82.5565,82.9957,83.4348,83.8739,84.313,84.7522,85.1913,85.6304,86.0696,86.5087,86.9478,87.387,87.8261,88.2652,88.7043,89.1435,89.5826,90.0217,90.4609,90.9,91.3391,91.7783,92.2174,92.6565,93.0957,93.5348,93.9739,94.413,94.8522,95.2913,95.7304,96.1696,96.6087,97.0478,97.487,97.9261,98.3652,98.8043,99.2435,99.6826,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.351304,0.702609,1.05391,1.40522,1.75652,2.10783,2.45913,2.81043,3.16174,3.51304,3.86435,4.21565,4.56696,4.91826,5.26957,5.62087,5.93716,6.2182,6.49925,6.78029,7.06133,7.34238,7.62342,7.90446,8.18551,8.46655,8.74759,9.02864,9.30968,9.59072,9.87177,10.1528,10.4339,10.7149,10.9959,11.277,11.558,11.8391,12.1201,12.4012,12.6822,12.9632,13.2443,13.5253,13.8064,14.0874,14.3685,14.6495,14.9306,15.2116,15.4926,15.7737,16.0547,16.3358,16.6168,16.8979,17.1789,17.4599,17.741,18.022,18.3031,18.5841,18.8652,19.1462,19.4272,19.7083,19.9893,20.2704,20.5514,20.8325,21.1135,21.3946,21.6756,21.9566,22.2377,22.5187,22.7998,23.0808,23.3619,23.6429,23.9239,24.205,24.486,24.7671,25.0481,25.3292,25.6102,25.8912,26.1723,26.4533,26.7344,27.0154,27.2965,27.5775,27.8586,28.1396,28.4206,28.7017,28.9827,29.2754,29.5681,29.8609,30.1536,30.4464,30.7391,31.0319,31.3246,31.6174,31.9036,32.1232,32.3428,32.5623,32.7819,33.0014,33.221,33.4763,33.7691,34.0618,34.3546,34.6473,34.9401,35.2329,35.5256,35.8184,36.1111,36.4899,36.929,37.3681,37.8072,38.2464,38.6855,39.1246,39.5638,40.0029,40.442,40.8812,41.3203,41.7594,42.1562,42.4855,42.8149,43.1442,43.4736,43.8029,44.1322,44.4616,44.7909,45.1203,45.4496,45.779,46.1083,46.4129,46.6081,46.8032,46.9984,47.1936,47.3887,47.5839,47.7791,47.9742,48.1694,48.3646,48.5597,48.7549,48.9501,49.1452,49.3404,49.5356,49.7308,49.9259,50.1211,50.3163,50.5114,50.7066,50.9018,51.0969,51.2921,51.4873,51.6824,51.8776,52.0728,52.315,52.6077,52.9005,53.1932,53.486,53.7787,54.0715,54.3643,54.657,54.9498,55.2425,55.5353,55.828,56.1208,56.4135,56.7063,56.999,57.2918,57.5845,57.8773,58.17,58.4628,58.7556,59.0483,59.3411,59.6338,59.9266,60.2193,60.5121,60.8048,61.0833,61.3578,61.6322,61.9067,62.1812,62.4556,62.7301,63.0045,63.279,63.5534,63.8279,64.1024,64.3768,64.6513,64.9257,65.2002,65.4746,65.7491,66.0236,66.298,66.5725,66.8469,67.1214,67.3958,67.6703,67.9447,68.2812,68.7203,69.1594,69.5819,69.8014,70.021,70.2406,70.4601,70.6797,70.8993,71.1536,71.4464,71.7391,72.0319,72.3246,72.6174,72.9101,73.2029,73.4957,73.7884,74.1652,74.6043,75.0435,75.4225,75.642,75.8616,76.0812,76.3007,76.5203,76.7399,76.8116,76.8116,76.8116,76.8116,76.8116,76.8116,76.8329,77.1256,77.4184,77.7111,78.0039,78.2966,78.5894,78.8821,79.1749,79.4676,79.7101,79.7101,79.7101,79.7101,79.9652,80.258,80.5507,80.8435,81.1362,81.429,81.7217,82.0145,82.3072,82.6,82.8217,83.0413,83.2609,83.4804,83.7,83.9196,84.058,84.058,84.058,84.058,84.058,84.058,84.058,84.058,84.058,84.058,84.1609,84.3804,84.6,84.8196,85.0391,85.2587,85.4783,85.5072,85.5072,85.5072,85.5072,85.5072,85.5072,85.5333,85.6309,85.7285,85.8261,85.9237,86.0213,86.1188,86.2164,86.314,86.4116,86.5092,86.6068,86.7043,86.8019,86.8995,86.9971,87.0947,87.1923,87.2899,87.3874,87.485,87.5826,87.6802,87.7778,87.8754,87.9729,88.0705,88.1681,88.2657,88.3633,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.4058,88.5072,88.7268,88.9464,89.1659,89.3855,89.6051,89.8246,90.0442,90.2638,90.4833,90.7029,90.9225,91.142,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.3043,91.6377,92.0768,92.5159,92.7536,92.7536,92.7536,92.7614,92.8101,92.8589,92.9077,92.9565,93.0053,93.0541,93.1029,93.1517,93.2005,93.2493,93.2981,93.3469,93.3957,93.4444,93.4932,93.542,93.5908,93.6396,93.6884,93.7372,93.786,93.8348,93.8836,93.9324,93.9812,94.03,94.0787,94.1275,94.1763,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.2029,94.3906,94.6101,94.8297,95.0493,95.2688,95.4884,95.708,95.9275,96.1471,96.3667,96.5862,96.8058,97.0254,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.1014,97.2256,97.372,97.5184,97.6647,97.8111,97.9575,98.1039,98.2502,98.3966,98.543,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5507,98.5884,98.6982,98.808,98.9178,99.0275,99.1373,99.2471,99.3569,99.4667,99.5764,99.6862,99.796,99.9058,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					}
+				]
+			},
+			{
+				"targetValue": "N",
+				"curves": [
+					{
+						"classifier": "Optimal",
+						"values": [0,0.181437,0.362874,0.544311,0.725749,0.907186,1.08862,1.27006,1.4515,1.63293,1.81437,1.99581,2.17725,2.35868,2.54012,2.72156,2.90299,3.08443,3.26587,3.44731,3.62874,3.81018,3.99162,4.17305,4.35449,4.53593,4.71737,4.8988,5.08024,5.26168,5.44311,5.62455,5.80599,5.98743,6.16886,6.3503,6.53174,6.71317,6.89461,7.07605,7.25749,7.43892,7.62036,7.8018,7.98323,8.16467,8.34611,8.52754,8.70898,8.89042,9.07186,9.25329,9.43473,9.61617,9.7976,9.97904,10.1605,10.3419,10.5234,10.7048,10.8862,11.0677,11.2491,11.4305,11.612,11.7934,11.9749,12.1563,12.3377,12.5192,12.7006,12.882,13.0635,13.2449,13.4263,13.6078,13.7892,13.9707,14.1521,14.3335,14.515,14.6964,14.8778,15.0593,15.2407,15.4222,15.6036,15.785,15.9665,16.1479,16.3293,16.5108,16.6922,16.8737,17.0551,17.2365,17.418,17.5994,17.7808,17.9623,18.1437,18.3251,18.5066,18.688,18.8695,19.0509,19.2323,19.4138,19.5952,19.7766,19.9581,20.1395,20.321,20.5024,20.6838,20.8653,21.0467,21.2281,21.4096,21.591,21.7725,21.9539,22.1353,22.3168,22.4982,22.6796,22.8611,23.0425,23.224,23.4054,23.5868,23.7683,23.9497,24.1311,24.3126,24.494,24.6754,24.8569,25.0383,25.2198,25.4012,25.5826,25.7641,25.9455,26.1269,26.3084,26.4898,26.6713,26.8527,27.0341,27.2156,27.397,27.5784,27.7599,27.9413,28.1228,28.3042,28.4856,28.6671,28.8485,29.0299,29.2114,29.3928,29.5743,29.7557,29.9371,30.1186,30.3,30.4814,30.6629,30.8443,31.0257,31.2072,31.3886,31.5701,31.7515,31.9329,32.1144,32.2958,32.4772,32.6587,32.8401,33.0216,33.203,33.3844,33.5659,33.7473,33.9287,34.1102,34.2916,34.4731,34.6545,34.8359,35.0174,35.1988,35.3802,35.5617,35.7431,35.9246,36.106,36.2874,36.4689,36.6503,36.8317,37.0132,37.1946,37.376,37.5575,37.7389,37.9204,38.1018,38.2832,38.4647,38.6461,38.8275,39.009,39.1904,39.3719,39.5533,39.7347,39.9162,40.0976,40.279,40.4605,40.6419,40.8234,41.0048,41.1862,41.3677,41.5491,41.7305,41.912,42.0934,42.2749,42.4563,42.6377,42.8192,43.0006,43.182,43.3635,43.5449,43.7263,43.9078,44.0892,44.2707,44.4521,44.6335,44.815,44.9964,45.1778,45.3593,45.5407,45.7222,45.9036,46.085,46.2665,46.4479,46.6293,46.8108,46.9922,47.1737,47.3551,47.5365,47.718,47.8994,48.0808,48.2623,48.4437,48.6251,48.8066,48.988,49.1695,49.3509,49.5323,49.7138,49.8952,50.0766,50.2581,50.4395,50.621,50.8024,50.9838,51.1653,51.3467,51.5281,51.7096,51.891,52.0725,52.2539,52.4353,52.6168,52.7982,52.9796,53.1611,53.3425,53.524,53.7054,53.8868,54.0683,54.2497,54.4311,54.6126,54.794,54.9754,55.1569,55.3383,55.5198,55.7012,55.8826,56.0641,56.2455,56.4269,56.6084,56.7898,56.9713,57.1527,57.3341,57.5156,57.697,57.8784,58.0599,58.2413,58.4228,58.6042,58.7856,58.9671,59.1485,59.3299,59.5114,59.6928,59.8743,60.0557,60.2371,60.4186,60.6,60.7814,60.9629,61.1443,61.3257,61.5072,61.6886,61.8701,62.0515,62.2329,62.4144,62.5958,62.7772,62.9587,63.1401,63.3216,63.503,63.6844,63.8659,64.0473,64.2287,64.4102,64.5916,64.7731,64.9545,65.1359,65.3174,65.4988,65.6802,65.8617,66.0431,66.2246,66.406,66.5874,66.7689,66.9503,67.1317,67.3132,67.4946,67.676,67.8575,68.0389,68.2204,68.4018,68.5832,68.7647,68.9461,69.1275,69.309,69.4904,69.6719,69.8533,70.0347,70.2162,70.3976,70.579,70.7605,70.9419,71.1234,71.3048,71.4862,71.6677,71.8491,72.0305,72.212,72.3934,72.5749,72.7563,72.9377,73.1192,73.3006,73.482,73.6635,73.8449,74.0263,74.2078,74.3892,74.5707,74.7521,74.9335,75.115,75.2964,75.4778,75.6593,75.8407,76.0222,76.2036,76.385,76.5665,76.7479,76.9293,77.1108,77.2922,77.4737,77.6551,77.8365,78.018,78.1994,78.3808,78.5623,78.7437,78.9251,79.1066,79.288,79.4695,79.6509,79.8323,80.0138,80.1952,80.3766,80.5581,80.7395,80.921,81.1024,81.2838,81.4653,81.6467,81.8281,82.0096,82.191,82.3725,82.5539,82.7353,82.9168,83.0982,83.2796,83.4611,83.6425,83.824,84.0054,84.1868,84.3683,84.5497,84.7311,84.9126,85.094,85.2754,85.4569,85.6383,85.8198,86.0012,86.1826,86.3641,86.5455,86.7269,86.9084,87.0898,87.2713,87.4527,87.6341,87.8156,87.997,88.1784,88.3599,88.5413,88.7228,88.9042,89.0856,89.2671,89.4485,89.6299,89.8114,89.9928,90.1743,90.3557,90.5371,90.7186,90.9,91.0814,91.2629,91.4443,91.6257,91.8072,91.9886,92.1701,92.3515,92.5329,92.7144,92.8958,93.0772,93.2587,93.4401,93.6216,93.803,93.9844,94.1659,94.3473,94.5287,94.7102,94.8916,95.0731,95.2545,95.4359,95.6174,95.7988,95.9802,96.1617,96.3431,96.5246,96.706,96.8874,97.0689,97.2503,97.4317,97.6132,97.7946,97.976,98.1575,98.3389,98.5204,98.7018,98.8832,99.0647,99.2461,99.4275,99.609,99.7904,99.9719,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100]
+					},
+					{
+						"classifier": "Selective Naive Bayes",
+						"values": [0,0.181437,0.362874,0.544311,0.725749,0.907186,1.08862,1.27006,1.4515,1.63293,1.81437,1.99581,2.17725,2.35868,2.54012,2.72156,2.90299,3.07313,3.23189,3.39064,3.5494,3.70816,3.86692,4.02567,4.18443,4.34319,4.50195,4.6607,4.81946,4.97822,5.13698,5.29573,5.45449,5.61325,5.77201,5.93076,6.08952,6.24828,6.40704,6.56579,6.72455,6.88331,7.04207,7.18563,7.18563,7.18563,7.18563,7.18563,7.18563,7.18563,7.27545,7.45689,7.63832,7.81976,8.0012,8.18263,8.36407,8.54551,8.72695,8.90838,9.08982,9.27126,9.45269,9.63413,9.81557,9.99701,10.1784,10.3599,10.5413,10.7228,10.8683,10.9979,11.1275,11.2571,11.3867,11.5163,11.6459,11.7754,11.905,12.0346,12.1642,12.2938,12.4234,12.553,12.6826,12.8122,12.9418,13.0714,13.201,13.3306,13.4602,13.5898,13.7194,13.8796,14.0611,14.2425,14.424,14.6054,14.7868,14.9683,15.1497,15.3311,15.5126,15.6627,15.7988,15.9349,16.071,16.207,16.3431,16.4792,16.6153,16.7513,16.8874,17.0235,17.1596,17.2957,17.4096,17.5003,17.591,17.6817,17.7725,17.8632,17.9539,18.1251,18.3066,18.488,18.6695,18.8509,19.0323,19.208,19.3693,19.5305,19.6918,19.8531,20.0144,20.1756,20.3369,20.4982,20.6595,20.8208,20.982,21.1433,21.3046,21.4659,21.6271,21.7884,21.9497,22.111,22.2723,22.4335,22.5948,22.7561,22.9174,23.0786,23.2399,23.4012,23.5625,23.7238,23.885,24.0581,24.2395,24.421,24.6024,24.7838,24.9653,25.1467,25.3281,25.5096,25.691,25.8725,26.0539,26.2353,26.4168,26.5982,26.7796,26.9611,27.1425,27.324,27.5054,27.6868,27.8683,28.0497,28.2311,28.4126,28.594,28.7754,28.9569,29.1383,29.3198,29.3413,29.3413,29.3413,29.4467,29.6281,29.8096,29.9656,30.0563,30.147,30.2377,30.3284,30.4192,30.5099,30.6006,30.6913,30.782,30.8728,30.9635,31.0542,31.1521,31.3335,31.515,31.6964,31.7836,31.8441,31.9046,31.9651,32.0255,32.086,32.1465,32.207,32.2675,32.3279,32.415,32.5057,32.5964,32.6871,32.7778,32.8686,32.9844,33.1659,33.3473,33.5287,33.7102,33.8916,34.0731,34.2545,34.4359,34.6174,34.7988,34.9802,35.1617,35.3431,35.5246,35.706,35.8874,36.0689,36.2503,36.4317,36.6132,36.7946,36.976,37.1575,37.3389,37.5204,37.7018,37.8832,38.0647,38.2461,38.4275,38.609,38.7904,38.9719,39.1533,39.3347,39.5162,39.6976,39.879,40.0605,40.2419,40.4234,40.6048,40.7572,40.8609,40.9646,41.0683,41.1719,41.2756,41.3793,41.483,41.5867,41.6903,41.794,41.8977,42.0014,42.105,42.2087,42.3124,42.4161,42.5198,42.6234,42.7271,42.8308,42.9345,43.0382,43.1629,43.3443,43.5257,43.7072,43.8886,44.0701,44.2515,44.3722,44.4629,44.5536,44.6443,44.735,44.8257,44.9228,45.1042,45.2856,45.4671,45.6485,45.8299,46.0114,46.1645,46.2854,46.4064,46.5273,46.6483,46.7693,46.8902,47.0112,47.1321,47.2531,47.4084,47.5898,47.7713,47.9419,48.083,48.2242,48.3653,48.5064,48.6475,48.7886,48.9297,49.0709,49.212,49.3531,49.4942,49.6353,49.7764,49.9176,50.0587,50.1998,50.3409,50.482,50.6232,50.7643,50.9054,51.0465,51.1876,51.3287,51.4699,51.611,51.7521,51.8932,52.0343,52.1982,52.3796,52.5611,52.7246,52.8379,52.9513,53.0647,53.1781,53.2915,53.4049,53.5183,53.6317,53.7451,53.8585,53.9719,54.0853,54.1987,54.3121,54.4255,54.5389,54.6523,54.7657,54.8791,54.9925,55.1059,55.2193,55.3327,55.4461,55.5595,55.6729,55.6886,55.6886,55.6886,55.7904,55.9719,56.1533,56.3347,56.5162,56.6976,56.879,56.8862,56.8862,56.8862,57.006,57.1874,57.3689,57.5503,57.7317,57.9132,58.0838,58.0838,58.0838,58.0838,58.2216,58.403,58.5844,58.7659,58.9473,59.1287,59.3102,59.4916,59.6731,59.8545,60.0359,60.2174,60.3988,60.5128,60.5733,60.6337,60.6942,60.7547,60.8152,60.8756,60.9361,60.9966,61.0571,61.197,61.3784,61.5599,61.7413,61.9228,62.1042,62.2856,62.4671,62.6485,62.8299,62.8743,62.8743,62.8743,62.9569,63.1383,63.3198,63.4871,63.5778,63.6686,63.7593,63.85,63.9407,64.0314,64.1222,64.2129,64.3036,64.3943,64.485,64.5757,64.6665,64.7716,64.8774,64.9833,65.0891,65.195,65.3008,65.4066,65.5125,65.6183,65.7242,65.83,65.9358,66.0417,66.1475,66.2533,66.3592,66.465,66.5709,66.6767,66.7825,66.8884,66.9942,67.1,67.2059,67.3117,67.4176,67.5234,67.6292,67.7351,67.8409,67.9468,68.0526,68.1584,68.2643,68.3701,68.4759,68.5818,68.6876,68.7935,68.9257,69.1072,69.2886,69.4611,69.4611,69.4611,69.4611,69.4611,69.4611,69.4611,69.5425,69.724,69.9054,70.0599,70.0599,70.0599,70.0599,70.0599,70.0599,70.0599,70.0599,70.0599,70.0599,70.0823,70.1731,70.2638,70.3545,70.4452,70.5359,70.6266,70.7174,70.8081,70.8988,70.9895,71.0802,71.171,71.2659,71.4473,71.6287,71.8102,71.8563,71.8563,71.8563,71.8563,71.8563,71.8563,71.8563,71.8563,71.8563,71.8563,71.9176,71.9902,72.0628,72.1353,72.2079,72.2805,72.3531,72.4256,72.4982,72.5708,72.6434,72.7159,72.7885,72.8611,72.9337,73.0062,73.0816,73.1622,73.2428,73.3235,73.4041,73.4848,73.5654,73.646,73.7267,73.8073,73.888,73.9686,74.0492,74.1299,74.2105,74.2912,74.3718,74.4524,74.5331,74.6137,74.6943,74.775,74.8556,74.9363,75.0169,75.0975,75.1782,75.2588,75.3395,75.4201,75.5072,75.5979,75.6886,75.7793,75.8701,75.9608,76.0539,76.2051,76.3563,76.5075,76.6587,76.8099,76.9611,77.1123,77.2635,77.4147,77.5659,77.7171,77.8683,78.0195,78.1707,78.3219,78.4731,78.6243,78.7754,78.9266,79.0635,79.1542,79.2449,79.3356,79.4263,79.5171,79.6078,79.6792,79.7397,79.8002,79.8607,79.9212,79.9816,80.0421,80.1026,80.1631,80.2236,80.3731,80.5545,80.7359,80.8778,80.9686,81.0593,81.15,81.2407,81.3314,81.4222,81.4371,81.4371,81.4371,81.4371,81.4371,81.4371,81.4513,81.5118,81.5723,81.6327,81.6932,81.7537,81.8142,81.8747,81.9351,81.9956,82.0662,82.1569,82.2476,82.3383,82.429,82.5198,82.6105,82.7234,82.8443,82.9653,83.0862,83.2072,83.3281,83.4491,83.5701,83.691,83.812,83.8323,83.8323,83.8323,83.9287,84.1102,84.2916,84.4469,84.5149,84.5829,84.651,84.719,84.7871,84.8551,84.9231,84.9912,85.0592,85.1272,85.1953,85.2633,85.3314,85.3994,85.4674,85.5355,85.6035,85.6716,85.7396,85.8076,85.8757,85.9437,86.0118,86.0798,86.1478,86.2159,86.2275,86.2275,86.2275,86.3234,86.5048,86.6862,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8263,86.8287,86.9195,87.0102,87.1009,87.1916,87.2823,87.3731,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4251,87.4387,87.4992,87.5597,87.6202,87.6806,87.7411,87.8016,87.8621,87.9226,87.983,88.0826,88.2641,88.4455,88.6269,88.8084,88.9898,89.1713,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2216,89.2531,89.3136,89.3741,89.4345,89.495,89.5555,89.616,89.6764,89.7369,89.7974,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8204,89.8275,89.888,89.9485,90.009,90.0695,90.1299,90.1904,90.2509,90.3114,90.3719,90.4323,90.4928,90.5533,90.6138,90.6743,90.7347,90.7952,90.8557,90.9162,90.9766,91.0371,91.0976,91.1581,91.2186,91.279,91.3395,91.4,91.4605,91.521,91.5814,91.6419,91.7024,91.7629,91.8234,91.8838,91.9443,92.0048,92.0653,92.1257,92.1862,92.2389,92.2843,92.3296,92.375,92.4204,92.4657,92.5111,92.5564,92.6018,92.6472,92.6925,92.7379,92.7832,92.8397,92.9203,93.0009,93.0816,93.1622,93.2428,93.3235,93.4041,93.4848,93.5654,93.646,93.7267,93.8073,93.888,93.9686,94.0492,94.1299,94.2105,94.2912,94.3718,94.4524,94.5331,94.6137,94.6943,94.775,94.8556,94.9363,95.0169,95.0975,95.1782,95.265,95.3557,95.4464,95.5371,95.6278,95.7186,95.8087,95.845,95.8813,95.9176,95.9539,95.9902,96.0265,96.0628,96.099,96.1353,96.1716,96.2079,96.2442,96.2805,96.3168,96.3531,96.3893,96.4293,96.4729,96.5164,96.56,96.6035,96.647,96.6906,96.7341,96.7777,96.8212,96.8648,96.9083,96.9519,96.9954,97.0389,97.0825,97.126,97.1696,97.2131,97.2567,97.3002,97.3438,97.3873,97.4309,97.4744,97.5179,97.5615,97.605,97.6486,97.6921,97.7357,97.7792,97.8228,97.8663,97.9098,97.9534,97.9969,98.0405,98.084,98.1276,98.1711,98.2147,98.2582,98.3017,98.3453,98.3888,98.4324,98.4759,98.5195,98.563,98.6066,98.6501,98.6937,98.7372,98.7807,98.8243,98.8678,98.9114,98.9549,98.9985,99.042,99.0856,99.1291,99.1726,99.2162,99.2597,99.3033,99.3468,99.3904,99.4339,99.4775,99.521,99.5646,99.6081,99.6516,99.6952,99.7387,99.7823,99.8258,99.8694,99.9129,99.9565,100]
+					}
+				]
+			}
+		]
+	},
+	"preparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "SpliceJunction",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical",
+					"Table"
+				],
+				"numbers": [
+					12,
+					90,
+					1
+				]
+			},
+			"database": "..\/..\/..\/MTdatasets\/SpliceJunction\/SpliceJunction.txt",
+			"samplePercentage": 10,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 303,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "N",
+				"modeFrequency": 167,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["EI","IE","N"],
+				"frequencies": [67,69,167]
+			},
+			"evaluatedVariables": 101,
+			"nativeVariables": 1,
+			"constructedVariables": 100,
+			"informativeVariables": 7,
+			"selectedVariables": 7,
+			"featureEngineering": {
+				"maxNumberOfConstructedVariables": 100,
+				"maxNumberOfTextFeatures": 0,
+				"maxNumberOfTrees": 5,
+				"maxNumberOfVariablePairs": 0
+			},
+			"discretization": "MODL",
+			"valueGrouping": "MODL",
+			"nullModel": {
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926
+			}
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R001",
+				"name": "Mode(DNA.Char) where Pos <= 30.5",
+				"type": "Categorical",
+				"level": 0.0731216,
+				"parts": 2,
+				"values": 4,
+				"mode": "C",
+				"modeFrequency": 122,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 8.17364,
+				"preparationCost": 23.5167,
+				"dataCost": 254.125,
+				"derivationRule": "TableMode(`DNA where Pos <= 30.5`, Char)"
+			},
+			{
+				"rank": "R002",
+				"name": "Mode(DNA.Char) where Pos in ]15.5, 30.5]",
+				"type": "Categorical",
+				"level": 0.0495677,
+				"parts": 3,
+				"values": 4,
+				"mode": "C",
+				"modeFrequency": 114,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 9.55993,
+				"preparationCost": 31.5551,
+				"dataCost": 251.964,
+				"derivationRule": "TablePartitionMode(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R003",
+				"name": "Mode(DNA.Char)",
+				"type": "Categorical",
+				"level": 0.0447911,
+				"parts": 3,
+				"values": 4,
+				"mode": "C",
+				"modeFrequency": 119,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 4.68213,
+				"preparationCost": 30.8759,
+				"dataCost": 258.994,
+				"derivationRule": "TableMode(DNA, Char)"
+			},
+			{
+				"rank": "R004",
+				"name": "Mean(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0.0261259,
+				"parts": 2,
+				"values": 281,
+				"min": 16,
+				"max": 46.55555556,
+				"mean": 31.84768883,
+				"stdDev": 4.848828493,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 9.55993,
+				"preparationCost": 19.4458,
+				"dataCost": 271.302,
+				"derivationRule": "TableMean(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R005",
+				"name": "Median(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0.0212659,
+				"parts": 3,
+				"values": 59,
+				"min": 8,
+				"max": 48,
+				"mean": 32.44701987,
+				"stdDev": 6.725618787,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 9.55993,
+				"preparationCost": 29.3732,
+				"dataCost": 262.873,
+				"derivationRule": "TableMedian(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R006",
+				"name": "Count(DNA) where Char = G",
+				"type": "Numerical",
+				"level": 0.0147548,
+				"parts": 2,
+				"values": 26,
+				"min": 0,
+				"max": 32,
+				"mean": 15.81188119,
+				"stdDev": 5.174919597,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 9.55993,
+				"preparationCost": 21.0465,
+				"dataCost": 273.207,
+				"derivationRule": "TableCount(`DNA where Char = G`)"
+			},
+			{
+				"rank": "R007",
+				"name": "Median(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0.00882745,
+				"parts": 2,
+				"values": 63,
+				"min": 9,
+				"max": 56.5,
+				"mean": 29.24587459,
+				"stdDev": 7.66919868,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 9.55993,
+				"preparationCost": 19.4456,
+				"dataCost": 276.636,
+				"derivationRule": "TableMedian(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R008",
+				"name": "Count(DNA)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 60,
+				"max": 60,
+				"mean": 60,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(DNA)"
+			},
+			{
+				"rank": "R009",
+				"name": "Count(DNA) where Char = A",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 25,
+				"min": 0,
+				"max": 27,
+				"mean": 13.53135314,
+				"stdDev": 4.652779483,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Char = A`)"
+			},
+			{
+				"rank": "R010",
+				"name": "Count(DNA) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 29,
+				"min": 2,
+				"max": 34,
+				"mean": 16.48844884,
+				"stdDev": 5.649179844,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Char = C`)"
+			},
+			{
+				"rank": "R011",
+				"name": "Count(DNA) where Char = T",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 29,
+				"min": 2,
+				"max": 34,
+				"mean": 14.16171617,
+				"stdDev": 5.235407476,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Char = T`)"
+			},
+			{
+				"rank": "R012",
+				"name": "Count(DNA) where Char not in {C, G, T, A}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 2,
+				"min": 0,
+				"max": 1,
+				"mean": 0.006600660066,
+				"stdDev": 0.08097586895,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Char not in {C, G, T, A}`)"
+			},
+			{
+				"rank": "R013",
+				"name": "Count(DNA) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 33,
+				"min": 10,
+				"max": 47,
+				"mean": 27.69966997,
+				"stdDev": 6.838946411,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Char not in {C, G}`)"
+			},
+			{
+				"rank": "R014",
+				"name": "Count(DNA) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15,
+				"max": 15,
+				"mean": 15,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(4)`)"
+			},
+			{
+				"rank": "R015",
+				"name": "Count(DNA) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30,
+				"max": 30,
+				"mean": 30,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Pos <= 30.5`)"
+			},
+			{
+				"rank": "R016",
+				"name": "Count(DNA) where Pos <= 7.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 7,
+				"max": 7,
+				"mean": 7,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R017",
+				"name": "Count(DNA) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30,
+				"max": 30,
+				"mean": 30,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCount(`DNA where Pos > 30.5`)"
+			},
+			{
+				"rank": "R018",
+				"name": "Count(DNA) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15,
+				"max": 15,
+				"mean": 15,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(4)`)"
+			},
+			{
+				"rank": "R019",
+				"name": "Count(DNA) where Pos > 53.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 7,
+				"max": 7,
+				"mean": 7,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R020",
+				"name": "Count(DNA) where Pos in ]15.5, 22.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 7,
+				"max": 7,
+				"mean": 7,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R021",
+				"name": "Count(DNA) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15,
+				"max": 15,
+				"mean": 15,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(4)`)"
+			},
+			{
+				"rank": "R022",
+				"name": "Count(DNA) where Pos in ]22.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R023",
+				"name": "Count(DNA) where Pos in ]30.5, 38.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R024",
+				"name": "Count(DNA) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15,
+				"max": 15,
+				"mean": 15,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(4)`)"
+			},
+			{
+				"rank": "R025",
+				"name": "Count(DNA) where Pos in ]45.5, 53.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R026",
+				"name": "Count(DNA) where Pos in ]7.5, 15.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCount(`TablePartition(DNA) per Pos(8)`)"
+			},
+			{
+				"rank": "R027",
+				"name": "CountDistinct(DNA.Char)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"min": 2,
+				"max": 5,
+				"mean": 3.99669967,
+				"stdDev": 0.1519586064,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(DNA, Char)"
+			},
+			{
+				"rank": "R028",
+				"name": "CountDistinct(DNA.Char) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1,
+				"max": 1,
+				"mean": 1,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(`DNA where Char = C`, Char)"
+			},
+			{
+				"rank": "R029",
+				"name": "CountDistinct(DNA.Char) where Char = G",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 2,
+				"min": 0,
+				"max": 1,
+				"mean": 0.99669967,
+				"stdDev": 0.05735362111,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(`DNA where Char = G`, Char)"
+			},
+			{
+				"rank": "R030",
+				"name": "CountDistinct(DNA.Char) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 3,
+				"min": 1,
+				"max": 3,
+				"mean": 2,
+				"stdDev": 0.1148969979,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(`DNA where Char not in {C, G}`, Char)"
+			},
+			{
+				"rank": "R031",
+				"name": "CountDistinct(DNA.Char) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"min": 2,
+				"max": 5,
+				"mean": 3.848184818,
+				"stdDev": 0.3854468996,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCountDistinct(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R032",
+				"name": "CountDistinct(DNA.Char) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"min": 2,
+				"max": 5,
+				"mean": 3.97029703,
+				"stdDev": 0.2049927413,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(`DNA where Pos <= 30.5`, Char)"
+			},
+			{
+				"rank": "R033",
+				"name": "CountDistinct(DNA.Char) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"min": 2,
+				"max": 5,
+				"mean": 3.98019802,
+				"stdDev": 0.1805856636,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableCountDistinct(`DNA where Pos > 30.5`, Char)"
+			},
+			{
+				"rank": "R034",
+				"name": "CountDistinct(DNA.Char) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 3,
+				"min": 2,
+				"max": 4,
+				"mean": 3.821782178,
+				"stdDev": 0.42362664,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCountDistinct(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R035",
+				"name": "CountDistinct(DNA.Char) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 3,
+				"min": 2,
+				"max": 4,
+				"mean": 3.884488449,
+				"stdDev": 0.3492429139,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCountDistinct(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R036",
+				"name": "CountDistinct(DNA.Char) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"min": 2,
+				"max": 5,
+				"mean": 3.914191419,
+				"stdDev": 0.3027322058,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionCountDistinct(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R037",
+				"name": "Max(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 60,
+				"max": 60,
+				"mean": 60,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(DNA, Pos)"
+			},
+			{
+				"rank": "R038",
+				"name": "Max(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 24,
+				"min": 27,
+				"max": 60,
+				"mean": 56.38283828,
+				"stdDev": 4.743448064,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R039",
+				"name": "Max(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 22,
+				"min": 35,
+				"max": 60,
+				"mean": 56.96357616,
+				"stdDev": 4.098376087,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R040",
+				"name": "Max(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 11,
+				"min": 43,
+				"max": 60,
+				"mean": 58.88118812,
+				"stdDev": 1.816429214,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R041",
+				"name": "Max(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15,
+				"max": 15,
+				"mean": 15,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMax(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R042",
+				"name": "Max(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30,
+				"max": 30,
+				"mean": 30,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R043",
+				"name": "Max(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 60,
+				"max": 60,
+				"mean": 60,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMax(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R044",
+				"name": "Max(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 60,
+				"max": 60,
+				"mean": 60,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMax(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R045",
+				"name": "Max(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30,
+				"max": 30,
+				"mean": 30,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMax(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R046",
+				"name": "Max(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 45,
+				"max": 45,
+				"mean": 45,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMax(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R047",
+				"name": "Mean(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30.5,
+				"max": 30.5,
+				"mean": 30.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMean(DNA, Pos)"
+			},
+			{
+				"rank": "R048",
+				"name": "Mean(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 274,
+				"min": 14.25,
+				"max": 46.33333333,
+				"mean": 29.71814213,
+				"stdDev": 5.029068147,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMean(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R049",
+				"name": "Mean(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 283,
+				"min": 20.6,
+				"max": 39.91304348,
+				"mean": 30.33646503,
+				"stdDev": 2.577046027,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMean(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R050",
+				"name": "Mean(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMean(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R051",
+				"name": "Mean(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15.5,
+				"max": 15.5,
+				"mean": 15.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMean(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R052",
+				"name": "Mean(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 45.5,
+				"max": 45.5,
+				"mean": 45.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMean(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R053",
+				"name": "Mean(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 53,
+				"max": 53,
+				"mean": 53,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMean(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R054",
+				"name": "Mean(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 23,
+				"max": 23,
+				"mean": 23,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMean(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R055",
+				"name": "Mean(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 38,
+				"max": 38,
+				"mean": 38,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMean(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R056",
+				"name": "Median(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 30.5,
+				"max": 30.5,
+				"mean": 30.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMedian(DNA, Pos)"
+			},
+			{
+				"rank": "R057",
+				"name": "Median(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 42,
+				"min": 17,
+				"max": 45,
+				"mean": 30.31023102,
+				"stdDev": 4.073920227,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMedian(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R058",
+				"name": "Median(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8,
+				"max": 8,
+				"mean": 8,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMedian(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R059",
+				"name": "Median(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 15.5,
+				"max": 15.5,
+				"mean": 15.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMedian(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R060",
+				"name": "Median(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 45.5,
+				"max": 45.5,
+				"mean": 45.5,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMedian(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R061",
+				"name": "Median(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 53,
+				"max": 53,
+				"mean": 53,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMedian(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R062",
+				"name": "Median(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 23,
+				"max": 23,
+				"mean": 23,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMedian(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R063",
+				"name": "Median(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 38,
+				"max": 38,
+				"mean": 38,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMedian(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R064",
+				"name": "Min(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1,
+				"max": 1,
+				"mean": 1,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(DNA, Pos)"
+			},
+			{
+				"rank": "R065",
+				"name": "Min(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 21,
+				"min": 1,
+				"max": 36,
+				"mean": 4.151815182,
+				"stdDev": 4.732102465,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R066",
+				"name": "Min(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 26,
+				"min": 1,
+				"max": 33,
+				"mean": 4.715231788,
+				"stdDev": 5.556903091,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R067",
+				"name": "Min(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 8,
+				"min": 1,
+				"max": 8,
+				"mean": 2.254125413,
+				"stdDev": 1.488606169,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R068",
+				"name": "Min(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1,
+				"max": 1,
+				"mean": 1,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMin(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R069",
+				"name": "Min(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1,
+				"max": 1,
+				"mean": 1,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R070",
+				"name": "Min(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 31,
+				"max": 31,
+				"mean": 31,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMin(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R071",
+				"name": "Min(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 46,
+				"max": 46,
+				"mean": 46,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMin(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R072",
+				"name": "Min(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 16,
+				"max": 16,
+				"mean": 16,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMin(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R073",
+				"name": "Min(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 31,
+				"max": 31,
+				"mean": 31,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMin(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R074",
+				"name": "Mode(DNA.Char) where Char = C",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"mode": "C",
+				"modeFrequency": 303,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMode(`DNA where Char = C`, Char)"
+			},
+			{
+				"rank": "R075",
+				"name": "Mode(DNA.Char) where Char = G",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 2,
+				"mode": "G",
+				"modeFrequency": 302,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMode(`DNA where Char = G`, Char)"
+			},
+			{
+				"rank": "R076",
+				"name": "Mode(DNA.Char) where Char not in {C, G}",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 2,
+				"mode": "T",
+				"modeFrequency": 153,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMode(`DNA where Char not in {C, G}`, Char)"
+			},
+			{
+				"rank": "R077",
+				"name": "Mode(DNA.Char) where Pos <= 15.5",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"mode": "C",
+				"modeFrequency": 129,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMode(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R078",
+				"name": "Mode(DNA.Char) where Pos > 30.5",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"mode": "G",
+				"modeFrequency": 110,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableMode(`DNA where Pos > 30.5`, Char)"
+			},
+			{
+				"rank": "R079",
+				"name": "Mode(DNA.Char) where Pos > 45.5",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"mode": "C",
+				"modeFrequency": 97,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMode(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R080",
+				"name": "Mode(DNA.Char) where Pos in ]30.5, 45.5]",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 4,
+				"mode": "G",
+				"modeFrequency": 102,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionMode(`TablePartition(DNA) per Pos(4)`, Char)"
+			},
+			{
+				"rank": "R081",
+				"name": "SampleId",
+				"type": "Categorical",
+				"level": 0,
+				"parts": 1,
+				"values": 303,
+				"mode": "AGMRSKPNI-NEG-1141",
+				"modeFrequency": 1,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926
+			},
+			{
+				"rank": "R082",
+				"name": "StdDev(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 17.31810228,
+				"max": 17.31810228,
+				"mean": 17.31810228,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(DNA, Pos)"
+			},
+			{
+				"rank": "R083",
+				"name": "StdDev(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 300,
+				"min": 5.465943945,
+				"max": 21.52579848,
+				"mean": 16.51728209,
+				"stdDev": 2.350365912,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R084",
+				"name": "StdDev(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 301,
+				"min": 8.314794193,
+				"max": 21.35025371,
+				"mean": 16.21388635,
+				"stdDev": 2.414371221,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R085",
+				"name": "StdDev(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 301,
+				"min": 11.07066199,
+				"max": 19.76587969,
+				"mean": 17.01671662,
+				"stdDev": 1.194228217,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R086",
+				"name": "StdDev(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 4.320493799,
+				"max": 4.320493799,
+				"mean": 4.320493799,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionStdDev(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R087",
+				"name": "StdDev(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8.655441448,
+				"max": 8.655441448,
+				"mean": 8.655441448,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R088",
+				"name": "StdDev(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 8.655441448,
+				"max": 8.655441448,
+				"mean": 8.655441448,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableStdDev(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R089",
+				"name": "StdDev(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 4.320493799,
+				"max": 4.320493799,
+				"mean": 4.320493799,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionStdDev(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R090",
+				"name": "StdDev(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 4.320493799,
+				"max": 4.320493799,
+				"mean": 4.320493799,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionStdDev(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R091",
+				"name": "StdDev(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 4.320493799,
+				"max": 4.320493799,
+				"mean": 4.320493799,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionStdDev(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R092",
+				"name": "Sum(DNA.Pos)",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1830,
+				"max": 1830,
+				"mean": 1830,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(DNA, Pos)"
+			},
+			{
+				"rank": "R093",
+				"name": "Sum(DNA.Pos) where Char = C",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 233,
+				"min": 54,
+				"max": 1063,
+				"mean": 488.0660066,
+				"stdDev": 178.1871738,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(`DNA where Char = C`, Pos)"
+			},
+			{
+				"rank": "R094",
+				"name": "Sum(DNA.Pos) where Char = G",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 250,
+				"min": 111,
+				"max": 938,
+				"mean": 503.2649007,
+				"stdDev": 169.8386146,
+				"missingNumber": 1,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(`DNA where Char = G`, Pos)"
+			},
+			{
+				"rank": "R095",
+				"name": "Sum(DNA.Pos) where Char not in {C, G}",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 255,
+				"min": 309,
+				"max": 1474,
+				"mean": 840.330033,
+				"stdDev": 216.9412705,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(`DNA where Char not in {C, G}`, Pos)"
+			},
+			{
+				"rank": "R096",
+				"name": "Sum(DNA.Pos) where Pos <= 15.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 120,
+				"max": 120,
+				"mean": 120,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionSum(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R097",
+				"name": "Sum(DNA.Pos) where Pos <= 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 465,
+				"max": 465,
+				"mean": 465,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(`DNA where Pos <= 30.5`, Pos)"
+			},
+			{
+				"rank": "R098",
+				"name": "Sum(DNA.Pos) where Pos > 30.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 1365,
+				"max": 1365,
+				"mean": 1365,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TableSum(`DNA where Pos > 30.5`, Pos)"
+			},
+			{
+				"rank": "R099",
+				"name": "Sum(DNA.Pos) where Pos > 45.5",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 795,
+				"max": 795,
+				"mean": 795,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionSum(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R100",
+				"name": "Sum(DNA.Pos) where Pos in ]15.5, 30.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 345,
+				"max": 345,
+				"mean": 345,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionSum(`TablePartition(DNA) per Pos(4)`, Pos)"
+			},
+			{
+				"rank": "R101",
+				"name": "Sum(DNA.Pos) where Pos in ]30.5, 45.5]",
+				"type": "Numerical",
+				"level": 0,
+				"parts": 1,
+				"values": 1,
+				"min": 570,
+				"max": 570,
+				"mean": 570,
+				"stdDev": 0,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 0.693147,
+				"preparationCost": 10.7442,
+				"dataCost": 296.926,
+				"derivationRule": "TablePartitionSum(`TablePartition(DNA) per Pos(4)`, Pos)"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R001": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Mode(DNA.Char) where Pos <= 30.5",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["C","T"],
+								["G","A"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[29,69,88],
+						[38,0,79]
+					],
+					"partInterests": [0.247927,0.752073]
+				},
+				"inputValues": {
+					"values": ["C","T","G","A"],
+					"frequencies": [122,64,61,56]
+				}
+			},
+			"R002": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Mode(DNA.Char) where Pos in ]15.5, 30.5]",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["A","G"],
+								["C"],
+								["T"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,3,87],
+						[26,41,47],
+						[3,25,33]
+					],
+					"partInterests": [0.593857,0.15488,0.251263]
+				},
+				"inputValues": {
+					"values": ["C","A","T","G"],
+					"frequencies": [114,69,61,59]
+				}
+			},
+			"R003": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Mode(DNA.Char)",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["C"],
+								["T","A"],
+								["G"]
+							],
+							"defaultGroupIndex": 1
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[17,49,53],
+						[16,17,74],
+						[34,3,40]
+					],
+					"partInterests": [0.33703,0.144491,0.518478]
+				},
+				"inputValues": {
+					"values": ["C","G","T","A"],
+					"frequencies": [119,77,57,50]
+				}
+			},
+			"R004": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Mean(DNA.Pos) where Char = G",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[16,31.698],
+								[31.698,46.55555556]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[34,12,105],
+						[33,57,62]
+					],
+					"partInterests": [0.57478,0.42522]
+				}
+			},
+			"R005": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Median(DNA.Pos) where Char = G",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[8,27.75],
+								[27.75,37.25],
+								[37.25,48]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[11,3,58],
+						[44,31,86],
+						[12,35,23]
+					],
+					"partInterests": [0.478566,0.0530889,0.468345]
+				}
+			},
+			"R006": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Count(DNA) where Char = G",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[0,19.5],
+								[19.5,32]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,68,130],
+						[29,1,37]
+					],
+					"partInterests": [0.187162,0.812838]
+				}
+			},
+			"R007": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Median(DNA.Pos) where Char = C",
+							"type": "Numerical",
+							"partitionType": "Intervals",
+							"partition": [
+								[9,27.75],
+								[27.75,56.5]
+							]
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[35,53,62],
+						[32,16,105]
+					],
+					"partInterests": [0.454456,0.545544]
+				}
+			}
+		}
+	},
+	"treePreparationReport": {
+		"reportType": "Preparation",
+		"summary": {
+			"dictionary": "SpliceJunction",
+			"variables": {
+				"types": [
+					"Categorical",
+					"Numerical",
+					"Table"
+				],
+				"numbers": [
+					12,
+					90,
+					1
+				]
+			},
+			"database": "..\/..\/..\/MTdatasets\/SpliceJunction\/SpliceJunction.txt",
+			"samplePercentage": 10,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": "",
+			"instances": 303,
+			"learningTask": "Classification analysis",
+			"targetVariable": "Class",
+			"targetDescriptiveStats": {
+				"values": 3,
+				"mode": "N",
+				"modeFrequency": 167,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0
+			},
+			"targetValues": {
+				"values": ["EI","IE","N"],
+				"frequencies": [67,69,167]
+			},
+			"evaluatedVariables": 2,
+			"informativeVariables": 2,
+			"selectedVariables": 1
+		},
+		"variablesStatistics": [
+			{
+				"rank": "R1",
+				"name": "Tree_1",
+				"type": "Categorical",
+				"level": 0.0257056,
+				"parts": 3,
+				"values": 3,
+				"mode": "L2",
+				"modeFrequency": 128,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 29.2106,
+				"preparationCost": 29.7139,
+				"dataCost": 241.512,
+				"derivationRule": "SwitchC(GroupIndex(ValueGroups(ValueGroup(\"C\", \"T\"), ValueGroup(\"A\", \"G\", \" * \")), `Mode(DNA.Char) where Pos in ]15.5, 30.5]`), \"L0\", SwitchC(IntervalIndex(IntervalBounds(34.75), `Median(DNA.Pos) where Char = G`), \"L0\", \"L3\", \"L4\"), \"L2\")"
+			},
+			{
+				"rank": "R2",
+				"name": "Tree_4",
+				"type": "Categorical",
+				"level": 0.020723,
+				"parts": 2,
+				"values": 3,
+				"mode": "L1",
+				"modeFrequency": 151,
+				"missingNumber": 0,
+				"sparseMissingNumber": 0,
+				"constructionCost": 29.2106,
+				"preparationCost": 21.7369,
+				"dataCost": 251.026,
+				"derivationRule": "SwitchC(IntervalIndex(IntervalBounds(31.698), `Mean(DNA.Pos) where Char = G`), \"L0\", \"L1\", SwitchC(GroupIndex(ValueGroups(ValueGroup(\"C\", \"T\"), ValueGroup(\"A\", \"G\", \" * \")), `Mode(DNA.Char) where Pos in ]15.5, 30.5]`), \"L0\", \"L3\", \"L4\"))"
+			}
+		],
+		"variablesDetailedStatistics": {
+			"R1": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_1",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L2"],
+								["L4"],
+								["L3"]
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[38,3,87],
+						[16,49,23],
+						[13,17,57]
+					],
+					"partInterests": [0.468243,0.487083,0.0446743]
+				},
+				"inputValues": {
+					"values": ["L2","L4","L3"],
+					"frequencies": [128,88,87]
+				}
+			},
+			"R2": {
+				"dataGrid": {
+					"isSupervised": true,
+					"dimensions": [
+						{
+							"variable": "Tree_4",
+							"type": "Categorical",
+							"partitionType": "Value groups",
+							"partition": [
+								["L1","L4"],
+								["L3"]
+							],
+							"defaultGroupIndex": 0
+						},
+						{
+							"variable": "Class",
+							"type": "Categorical",
+							"partitionType": "Values",
+							"partition": ["EI","IE","N"]
+						}
+					],
+					"partTargetFrequencies": [
+						[52,13,133],
+						[15,56,34]
+					],
+					"partInterests": [0.453292,0.546708]
+				},
+				"inputValues": {
+					"values": ["L1","L3","L4"],
+					"frequencies": [151,105,47]
+				}
+			}
+		},
+		"treeDetails": {
+			"R1": {
+				"name": "Tree_1",
+				"variableNumber": 2,
+				"depth": 3,
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "Mode(DNA.Char) where Pos in ]15.5, 30.5]",
+					"type": "Categorical",
+					"partition": [
+						["C","T"],
+						["A","G"]
+					],
+					"defaultGroupIndex": 1,
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"variable": "Median(DNA.Pos) where Char = G",
+							"type": "Numerical",
+							"partition": [
+								[8,34.75],
+								[34.75,48]
+							],
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["EI","IE","N"],
+										"frequencies": [13,17,57]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["EI","IE","N"],
+										"frequencies": [16,49,23]
+									}
+								}
+							]
+						},
+						{
+							"nodeId": "L2",
+							"targetValues": {
+								"values": ["EI","IE","N"],
+								"frequencies": [38,3,87]
+							}
+						}
+					]
+				}
+			},
+			"R2": {
+				"name": "Tree_4",
+				"variableNumber": 2,
+				"depth": 3,
+				"treeNodes": {
+					"nodeId": "L0",
+					"variable": "Mean(DNA.Pos) where Char = G",
+					"type": "Numerical",
+					"partition": [
+						[16,31.698],
+						[31.698,46.55555556]
+					],
+					"childNodes": [
+						{
+							"nodeId": "L1",
+							"targetValues": {
+								"values": ["EI","IE","N"],
+								"frequencies": [34,12,105]
+							}
+						},
+						{
+							"nodeId": "L2",
+							"variable": "Mode(DNA.Char) where Pos in ]15.5, 30.5]",
+							"type": "Categorical",
+							"partition": [
+								["C","T"],
+								["A","G"]
+							],
+							"defaultGroupIndex": 1,
+							"childNodes": [
+								{
+									"nodeId": "L3",
+									"targetValues": {
+										"values": ["EI","IE","N"],
+										"frequencies": [15,56,34]
+									}
+								},
+								{
+									"nodeId": "L4",
+									"targetValues": {
+										"values": ["EI","IE","N"],
+										"frequencies": [18,1,28]
+									}
+								}
+							]
+						}
+					]
+				}
+			}
+		}
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/test_core.py b/tests/test_core.py
index 1d096401..e72bdc1c 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -59,6 +59,8 @@ def test_analysis_results(self):
             "IrisC",
             "IrisG",
             "IrisR",
+            "IrisRWithTrees",
+            "SpliceJunctionWithTrees",
             "IrisU",
             "IrisU2D",
             "LargeSpiral",
diff --git a/tests/test_estimator_attributes.py b/tests/test_estimator_attributes.py
index 3a3fe0db..0efb09b3 100644
--- a/tests/test_estimator_attributes.py
+++ b/tests/test_estimator_attributes.py
@@ -105,17 +105,12 @@ def assert_attribute_values_ok(self, model, X, y):
         else:
             pair_feature_evaluated_names_ = []
             pair_feature_evaluated_levels_ = []
-        if "treePreparationReport" in model.model_report_.json_data:
-            tree_preparation_report = model.model_report_.json_data[
-                "treePreparationReport"
-            ]["variablesStatistics"]
-            tree_feature_evaluated_names_ = [
-                tree_preparation_report[i]["name"]
-                for i in range(0, len(tree_preparation_report))
-            ]
+        if model.model_report_.tree_preparation_report is not None:
+            tree_preparation_report = model.model_report_.tree_preparation_report
+            tree_feature_evaluated_names_ = tree_preparation_report.get_variable_names()
             tree_feature_evaluated_levels_ = [
-                [tree_preparation_report[i]["level"]]
-                for i in range(0, len(tree_preparation_report))
+                [tree_preparation_report.get_variable_statistics(var).level]
+                for var in tree_preparation_report.get_variable_names()
             ]
         else:
             tree_feature_evaluated_names_ = []

From c3869869f7006cf34c54826d732b073b822de9a9 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Thu, 22 May 2025 13:23:41 +0200
Subject: [PATCH 07/18] Rename ModlHistogram to ModlHistograms to reflect
 plurality

---
 khiops/core/analysis_results.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 8c01cd77..8c91d195 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -1932,7 +1932,7 @@ class VariableStatistics:
         Otherwise is set to ``None``.
     data_grid : `DataGrid`
         A density estimation of the partitioned variable with respect to the target.
-    modl_histograms : `ModlHistogram`
+    modl_histograms : `ModlHistograms`
         MODL optimal histograms for for numerical variables. Only for unsupervised
         analysis.
     """
@@ -2020,7 +2020,7 @@ def init_details(self, json_data=None):
             # Initialize MODL histograms if present in the JSON report
             json_modl_histograms = json_data.get("modlHistograms")
             if json_modl_histograms is not None:
-                self.modl_histograms = ModlHistogram(json_modl_histograms)
+                self.modl_histograms = ModlHistograms(json_modl_histograms)
 
         return self
 
@@ -2731,7 +2731,7 @@ def to_json(self):
         return report
 
 
-class ModlHistogram:
+class ModlHistograms:
     """A histogram density estimation for numerical data
 
     A MODL histogram is a regularized piecewise-constant estimation of the probability
@@ -2859,7 +2859,7 @@ def to_json(self):
 class Histogram:
     """A histogram
 
-    Represents one of the refinement levels of a `ModlHistogram` object.
+    Represents one of the refinement levels of a `ModlHistograms` object.
 
     Parameters
     ----------

From a31b75ae763357454e157777f63309f176699afe Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 13 May 2025 18:21:29 +0200
Subject: [PATCH 08/18] Add JSONization support for CoclusteringResults
 (variable * variable case)

---
 khiops/core/coclustering_results.py | 149 +++++++++++++++++++++++++++-
 1 file changed, 146 insertions(+), 3 deletions(-)

diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index 497b73be..b9945d13 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -83,7 +83,6 @@ def __init__(self, json_data=None):
         # Transform to an empty dictionary if json_data is not specified
         if json_data is None:
             json_data = {}
-
         # Initialize empty report attributes
         self.short_description = json_data.get("shortDescription", "")
 
@@ -95,6 +94,15 @@ def __init__(self, json_data=None):
         else:
             self.coclustering_report = None
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = super().to_json()
+        if self.short_description is not None:
+            report["shortDescription"] = self.short_description
+        if self.coclustering_report is not None:
+            report["coclusteringReport"] = self.coclustering_report.to_json()
+        return report
+
     def write_report_file(self, report_file_path):
         """Writes a TSV report file with the object's information
 
@@ -342,6 +350,55 @@ def get_dimension(self, dimension_name):
         """
         return self._dimensions_by_name[dimension_name]
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        # Compute cellPartIndexes
+        cell_parts_indexes = []
+        for cell in self.cells:
+            cell_part_indexes = []
+            for cell_part in cell.parts:
+                for dimension in self.dimensions:
+                    for dimension_part_index, dimension_part in enumerate(
+                        dimension.parts
+                    ):
+                        if cell_part == dimension_part:
+                            cell_part_indexes.append(dimension_part_index)
+                            break
+            cell_parts_indexes.append(cell_part_indexes)
+        report_summary = {
+            "instances": self.instance_number,
+            "cells": self.cell_number,
+            "nullCost": self.null_cost,
+            "cost": self.cost,
+            "level": self.level,
+            "initialDimensions": self.initial_dimension_number,
+            "frequencyVariable": self.frequency_variable,
+            "dictionary": self.dictionary,
+            "database": self.database,
+            "samplePercentage": self.sample_percentage,
+            "samplingMode": self.sampling_mode,
+            "selectionVariable": self.selection_variable,
+            "selectionValue": self.selection_value,
+        }
+        report = {
+            "summary": report_summary,
+            "dimensionSummaries": [
+                dimension.to_json(report_type="summary")
+                for dimension in self.dimensions
+            ],
+            "dimensionPartitions": [
+                dimension.to_json(report_type="partition")
+                for dimension in self.dimensions
+            ],
+            "dimensionHierarchies": [
+                dimension.to_json(report_type="hierarchy")
+                for dimension in self.dimensions
+            ],
+            "cellPartIndexes": cell_parts_indexes,
+            "cellFrequencies": [cell.frequency for cell in self.cells],
+        }
+        return report
+
     def write_report(self, writer):
         """Writes the instance's TSV report to a writer object
 
@@ -787,6 +844,57 @@ def get_cluster(self, cluster_name):
         """
         return self._clusters_by_name[cluster_name]
 
+    def to_json(self, report_type):
+        """Serialize object instance to the Khiops JSON format
+
+        Parameters
+        ----------
+        report_type : str
+            Type of the report. Can be either one of "summary", "dimension", and
+            "hierarchy".
+        """
+        if report_type == "summary":
+            report = {
+                "name": self.name,
+                "type": self.type,
+                "parts": self.part_number,
+                "initialParts": self.initial_part_number,
+                "values": self.value_number,
+                "interest": self.interest,
+                "description": self.description,
+            }
+            if self.type == "Numerical":
+                report.update({"min": self.min, "max": self.max})
+            if self.is_variable_part:
+                report["isVarPart"] = self.is_variable_part
+            return report
+        elif report_type == "partition":
+            report = {
+                "name": self.name,
+                "type": self.type,
+            }
+            if self.type == "Numerical":
+                report["intervals"] = [part.to_json() for part in self.parts]
+            elif self.type == "Categorical":
+                report["valueGroups"] = [part.to_json() for part in self.parts]
+
+                # Get default group index
+                for i, part in enumerate(self.parts):
+                    if part.is_default_part is True:
+                        default_group_index = i
+                        break
+                report["defaultGroupIndex"] = default_group_index
+            return report
+        elif report_type == "hierarchy":
+            report = {
+                "name": self.name,
+                "type": self.type,
+                "clusters": [cluster.to_json() for cluster in self.clusters],
+            }
+            return report
+        else:
+            raise ValueError(f"Unknown 'report_type 'value: '{report_type}'")
+
     def write_dimension_header_line(self, writer):
         """Writes the "dimensions" section header to a writer object
 
@@ -1022,6 +1130,15 @@ def __init__(self, json_data=None):
         self.is_left_open = False
         self.is_right_open = False
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "cluster": self.cluster_name,
+        }
+        if not self.is_missing:
+            report["bounds"] = [self.lower_bound, self.upper_bound]
+        return report
+
     def __str__(self):
         """Returns a human-readable string representation"""
         if self.is_missing:
@@ -1122,6 +1239,14 @@ def __str__(self):
         label += "}"
         return label
 
+    def to_json(self):
+        return {
+            "cluster": self.cluster_name,
+            "values": [value.value for value in self.values],
+            "valueFrequencies": [value.frequency for value in self.values],
+            "valueTypicalities": [value.typicality for value in self.values],
+        }
+
     def part_type(self):
         """Part type of this instance
 
@@ -1228,8 +1353,8 @@ def __init__(self, json_data=None):
         self.rank = json_data.get("rank", 0)
         self.hierarchical_rank = json_data.get("hierarchicalRank", 0)
         self.is_leaf = json_data.get("isLeaf", False)
-        self.short_description = json_data.get("shortDescription", "")
-        self.description = json_data.get("description", "")
+        self.short_description = json_data.get("shortDescription")
+        self.description = json_data.get("description")
 
         # Link to child clusters, None for the leaves of the hierarchy
         # The user must specify the CoclusteringCluster references parent_cluster
@@ -1239,6 +1364,24 @@ def __init__(self, json_data=None):
         self.child_cluster2 = None
         self.leaf_part = None
 
+    def to_json(self):
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
+            "cluster": self.name,
+            "parentCluster": self.parent_cluster_name,
+            "frequency": self.frequency,
+            "interest": self.interest,
+            "hierarchicalLevel": self.hierarchical_level,
+            "rank": self.rank,
+            "hierarchicalRank": self.hierarchical_rank,
+            "isLeaf": self.is_leaf,
+        }
+        if self.short_description is not None:
+            report["shortDescription"] = self.short_description
+        if self.description is not None:
+            report["description"] = self.description
+        return report
+
     def write_hierarchy_header_line(self, writer):
         """Writes the "hierarchy" section's header to a writer object
 

From bc2c3ad423ef441bcb3ef13dc433a18b26797baa Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Wed, 14 May 2025 18:13:57 +0200
Subject: [PATCH 09/18] Add support for instance-variable coclustering to the
 CoclusteringResults object

This includes:

- parsing `innerVariables` field from the .khcj file into
  "sub"-dimensions
- full JSONization support, including the serialization of the
  `innerVariables` variable parts "sub"-dimensions.
---
 khiops/core/coclustering_results.py           |  78 +++-
 .../ref_json_reports/IrisIV.khcj              | 398 ++++++++++++++++++
 tests/test_core.py                            |   1 +
 3 files changed, 472 insertions(+), 5 deletions(-)
 create mode 100644 tests/resources/coclustering_results/ref_json_reports/IrisIV.khcj

diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index b9945d13..b397adf7 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -585,6 +585,9 @@ class CoclusteringDimension:
         Maximum value of a numerical dimension/variable.
     parts : list of `CoclusteringDimensionPart`
         Partition of this dimension.
+    variable_part_dimensions : list of `CoclusteringDimension`
+        Variable part instance-variable coclustering dimensions. ``None`` for
+        variable-variable clustering.
     clusters : list of `CoclusteringCluster`
         Clusters of this dimension's hierarchy. Note that includes intermediary
         clusters.
@@ -624,6 +627,9 @@ def __init__(self):
         # Clusters internal dictionary
         self._clusters_by_name = {}
 
+        # Variable part dimensions
+        self.variable_part_dimensions = None
+
     def init_summary(self, json_data=None):
         """Initializes the summary attributes from a Python JSON object
 
@@ -737,6 +743,42 @@ def init_partition(self, json_data=None):
             self.default_group = self.parts[default_group_index]
             self.default_group.is_default_part = True
 
+            # Instance-variable coclustering: initialize inner variables
+            if self.is_variable_part:
+
+                # Create inner variables dimensions (subpartition)
+                if "innerVariables" not in json_data:
+                    raise KhiopsJSONError("'innerVariables' key not found")
+                self.variable_part_dimensions = []
+                json_inner_variables = json_data["innerVariables"]
+                if "dimensionSummaries" in json_inner_variables:
+                    for json_dimension_summary in json_inner_variables[
+                        "dimensionSummaries"
+                    ]:
+                        dimension = CoclusteringDimension().init_summary(
+                            json_dimension_summary
+                        )
+                        self.variable_part_dimensions.append(dimension)
+
+                # Initialize inner variables dimensions' partitions
+                if "dimensionPartitions" in json_inner_variables:
+                    json_dimension_partitions = json_inner_variables[
+                        "dimensionPartitions"
+                    ]
+                    if len(self.variable_part_dimensions) != len(
+                        json_dimension_partitions
+                    ):
+                        raise KhiopsJSONError(
+                            "'ineerVariables/dimensionPartitions' list has length "
+                            f"{len(json_dimension_partitions)} instead of "
+                            f"{len(self.variable_part_dimensions)}"
+                        )
+                    for i, json_dimension_partition in enumerate(
+                        json_dimension_partitions
+                    ):
+                        dimension = self.variable_part_dimensions[i]
+                        dimension.init_partition(json_dimension_partition)
+
         return self
 
     def init_hierarchy(self, json_data):
@@ -880,10 +922,23 @@ def to_json(self, report_type):
 
                 # Get default group index
                 for i, part in enumerate(self.parts):
-                    if part.is_default_part is True:
+                    if part.is_default_part:
                         default_group_index = i
                         break
                 report["defaultGroupIndex"] = default_group_index
+
+                # Inner variables dimensions for instance-variable coclustering
+                if self.is_variable_part:
+                    report["innerVariables"] = {
+                        "dimensionSummaries": [
+                            dimension.to_json(report_type="summary")
+                            for dimension in self.variable_part_dimensions
+                        ],
+                        "dimensionPartitions": [
+                            dimension.to_json(report_type="partition")
+                            for dimension in self.variable_part_dimensions
+                        ],
+                    }
             return report
         elif report_type == "hierarchy":
             report = {
@@ -1200,7 +1255,9 @@ def __init__(self, json_data=None):
             json_data = {}
         # Otherwise raise an error if the relevant keys are not found
         else:
-            mandatory_keys = ("values", "valueFrequencies", "valueTypicalities")
+            # Value typicalities are absent for variable parts dimensions in
+            # instance-variable coclustering
+            mandatory_keys = ("values", "valueFrequencies")
             for key in mandatory_keys:
                 if key not in json_data:
                     raise KhiopsJSONError(f"'{key}' key not found")
@@ -1221,7 +1278,12 @@ def __init__(self, json_data=None):
             self.values.append(value)
             value.value = json_value
             value.frequency = json_value_frequencies[i]
-            value.typicality = json_value_typicalities[i]
+
+            # valueTypicalities are absent for variable part dimension parts,
+            # as used in instance-variable coclustering
+            value.typicality = (
+                json_value_typicalities[i] if i < len(json_value_typicalities) else None
+            )
 
         # Initialize default values (set for real from another class)
         self.is_default_part = False
@@ -1240,12 +1302,18 @@ def __str__(self):
         return label
 
     def to_json(self):
-        return {
+        """Serialize object instance to the Khiops JSON format"""
+        report = {
             "cluster": self.cluster_name,
             "values": [value.value for value in self.values],
             "valueFrequencies": [value.frequency for value in self.values],
-            "valueTypicalities": [value.typicality for value in self.values],
         }
+        typicalities = [
+            value.typicality for value in self.values if value.typicality is not None
+        ]
+        if typicalities:
+            report["valueTypicalities"] = typicalities
+        return report
 
     def part_type(self):
         """Part type of this instance
diff --git a/tests/resources/coclustering_results/ref_json_reports/IrisIV.khcj b/tests/resources/coclustering_results/ref_json_reports/IrisIV.khcj
new file mode 100644
index 00000000..d44bc979
--- /dev/null
+++ b/tests/resources/coclustering_results/ref_json_reports/IrisIV.khcj
@@ -0,0 +1,398 @@
+{
+	"tool": "Khiops Coclustering",
+	"version": "VERSION",
+	"shortDescription": "",
+	"coclusteringReport": {
+		"summary": {
+			"instances": 750,
+			"cells": 10,
+			"nullCost": 7699.399272,
+			"cost": 7441.519619,
+			"level": 0.03349347709,
+			"initialDimensions": 2,
+			"frequencyVariable": "",
+			"dictionary": "Iris",
+			"database": "..\/..\/..\/datasets\/Iris\/Iris.txt",
+			"samplePercentage": 100,
+			"samplingMode": "Include sample",
+			"selectionVariable": "",
+			"selectionValue": ""
+		},
+		"dimensionSummaries": [
+			{
+				"name": "Instance index",
+				"type": "Categorical",
+				"parts": 3,
+				"initialParts": 3,
+				"values": 150,
+				"interest": 1,
+				"description": ""
+			},
+			{
+				"name": "Variables",
+				"isVarPart": true,
+				"type": "Categorical",
+				"parts": 4,
+				"initialParts": 4,
+				"values": 14,
+				"interest": 1,
+				"description": ""
+			}
+		],
+		"dimensionPartitions": [
+			{
+				"name": "Instance index",
+				"type": "Categorical",
+				"valueGroups": [
+					{
+						"cluster": "{12, 13, 18, ...}",
+						"values": ["12","13","18","19","2","21","22","23","24","26","28","29","30","33","34","41","42","45","46","48","50","6","7","8","9","10","11","14","15","16","17","20","25","27","3","31","32","35","36","37","38","39","4","40","43","44","47","49","5","51"],
+						"valueFrequencies": [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],
+						"valueTypicalities": [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672,0.737672]
+					},
+					{
+						"cluster": "{104, 107, 109, ...}",
+						"values": ["104","107","109","120","122","124","127","132","137","141","143","102","103","105","106","110","112","113","114","115","116","117","118","123","125","126","128","129","130","134","139","140","142","144","145","146","147","148","149","151","111","119","133","131","138","150","121","135","136","72"],
+						"valueFrequencies": [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],
+						"valueTypicalities": [1,1,1,1,1,1,1,1,1,1,1,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.817559,0.815023,0.815023,0.815023,0.725683,0.635114,0.635114,0.529958,0.529958,0.529958,0.529958]
+					},
+					{
+						"cluster": "{101, 53, 55, ...}",
+						"values": ["101","53","55","56","57","58","60","63","64","65","66","67","68","69","70","71","73","75","76","77","80","81","82","83","84","88","89","90","91","92","93","94","96","97","98","99","52","100","59","61","62","86","87","95","74","78","79","85","54","108"],
+						"valueFrequencies": [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],
+						"valueTypicalities": [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.912075,0.826805,0.826805,0.826805,0.826805,0.826805,0.826805,0.826805,0.693631,0.693631,0.693631,0.693631,0.567035,0.520436]
+					}
+				],
+				"defaultGroupIndex": 2
+			},
+			{
+				"name": "Variables",
+				"type": "Categorical",
+				"innerVariables": {
+					"dimensionSummaries": [
+						{
+							"name": "Class",
+							"type": "Categorical",
+							"parts": 3,
+							"initialParts": 3,
+							"values": 3,
+							"interest": 1,
+							"description": ""
+						},
+						{
+							"name": "PetalLength",
+							"type": "Numerical",
+							"parts": 3,
+							"initialParts": 3,
+							"values": 150,
+							"interest": 1,
+							"description": "",
+							"min": 1,
+							"max": 6.9
+						},
+						{
+							"name": "PetalWidth",
+							"type": "Numerical",
+							"parts": 3,
+							"initialParts": 3,
+							"values": 150,
+							"interest": 1,
+							"description": "",
+							"min": 0.1,
+							"max": 2.5
+						},
+						{
+							"name": "SepalLength",
+							"type": "Numerical",
+							"parts": 3,
+							"initialParts": 3,
+							"values": 150,
+							"interest": 1,
+							"description": "",
+							"min": 4.3,
+							"max": 7.9
+						},
+						{
+							"name": "SepalWidth",
+							"type": "Numerical",
+							"parts": 2,
+							"initialParts": 2,
+							"values": 150,
+							"interest": 1,
+							"description": "",
+							"min": 2,
+							"max": 4.4
+						}
+					],
+					"dimensionPartitions": [
+						{
+							"name": "Class",
+							"type": "Categorical",
+							"valueGroups": [
+								{
+									"cluster": "Class {Iris-setosa}",
+									"values": ["Iris-setosa"],
+									"valueFrequencies": [50]
+								},
+								{
+									"cluster": "Class {Iris-versicolor}",
+									"values": ["Iris-versicolor"],
+									"valueFrequencies": [50]
+								},
+								{
+									"cluster": "Class {Iris-virginica}",
+									"values": ["Iris-virginica"],
+									"valueFrequencies": [50]
+								}
+							],
+							"defaultGroupIndex": 2
+						},
+						{
+							"name": "PetalLength",
+							"type": "Numerical",
+							"intervals": [
+								{
+									"cluster": "PetalLength ]-inf;2.4]",
+									"bounds": [1,2.4]
+								},
+								{
+									"cluster": "PetalLength ]2.4;4.75]",
+									"bounds": [2.4,4.75]
+								},
+								{
+									"cluster": "PetalLength ]4.75;+inf[",
+									"bounds": [4.75,6.9]
+								}
+							]
+						},
+						{
+							"name": "PetalWidth",
+							"type": "Numerical",
+							"intervals": [
+								{
+									"cluster": "PetalWidth ]-inf;0.8]",
+									"bounds": [0.1,0.8]
+								},
+								{
+									"cluster": "PetalWidth ]0.8;1.75]",
+									"bounds": [0.8,1.75]
+								},
+								{
+									"cluster": "PetalWidth ]1.75;+inf[",
+									"bounds": [1.75,2.5]
+								}
+							]
+						},
+						{
+							"name": "SepalLength",
+							"type": "Numerical",
+							"intervals": [
+								{
+									"cluster": "SepalLength ]-inf;5.45]",
+									"bounds": [4.3,5.45]
+								},
+								{
+									"cluster": "SepalLength ]5.45;6.85]",
+									"bounds": [5.45,6.85]
+								},
+								{
+									"cluster": "SepalLength ]6.85;+inf[",
+									"bounds": [6.85,7.9]
+								}
+							]
+						},
+						{
+							"name": "SepalWidth",
+							"type": "Numerical",
+							"intervals": [
+								{
+									"cluster": "SepalWidth ]-inf;3.35]",
+									"bounds": [2,3.35]
+								},
+								{
+									"cluster": "SepalWidth ]3.35;+inf[",
+									"bounds": [3.35,4.4]
+								}
+							]
+						}
+					]
+				},
+				"valueGroups": [
+					{
+						"cluster": "{Class {Iris-setosa}, PetalLength ]-inf;2.4], PetalWidth ]-inf;0.8], ...}",
+						"values": ["Class {Iris-setosa}","PetalLength ]-inf;2.4]","PetalWidth ]-inf;0.8]","SepalLength ]-inf;5.45]","SepalWidth ]3.35;+inf["],
+						"valueFrequencies": [50,50,50,52,36],
+						"valueTypicalities": [0,0,0,0,0]
+					},
+					{
+						"cluster": "{Class {Iris-virginica}, PetalLength ]4.75;+inf[, PetalWidth ]1.75;+inf[, ...}",
+						"values": ["Class {Iris-virginica}","PetalLength ]4.75;+inf[","PetalWidth ]1.75;+inf[","SepalLength ]6.85;+inf["],
+						"valueFrequencies": [50,55,46,17],
+						"valueTypicalities": [0,0,0,0]
+					},
+					{
+						"cluster": "{Class {Iris-versicolor}, PetalLength ]2.4;4.75], PetalWidth ]0.8;1.75]}",
+						"values": ["Class {Iris-versicolor}","PetalLength ]2.4;4.75]","PetalWidth ]0.8;1.75]"],
+						"valueFrequencies": [50,45,54],
+						"valueTypicalities": [0,0,0]
+					},
+					{
+						"cluster": "{SepalLength ]5.45;6.85], SepalWidth ]-inf;3.35]}",
+						"values": ["SepalLength ]5.45;6.85]","SepalWidth ]-inf;3.35]"],
+						"valueFrequencies": [81,114],
+						"valueTypicalities": [0,0]
+					}
+				],
+				"defaultGroupIndex": 0
+			}
+		],
+		"dimensionHierarchies": [
+			{
+				"name": "Instance index",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{12, 13, 18, ...}",
+						"parentCluster": "A2",
+						"frequency": 250,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{104, 107, 109, ...}",
+						"parentCluster": "A4",
+						"frequency": 250,
+						"interest": 0.845054,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{101, 53, 55, ...}",
+						"parentCluster": "A4",
+						"frequency": 250,
+						"interest": 0.820199,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "A2",
+						"parentCluster": "",
+						"frequency": 750,
+						"interest": 0.888417,
+						"hierarchicalLevel": 0.482451,
+						"rank": 2,
+						"hierarchicalRank": 3,
+						"isLeaf": false
+					},
+					{
+						"cluster": "A4",
+						"parentCluster": "A2",
+						"frequency": 500,
+						"interest": 0.832626,
+						"hierarchicalLevel": 0.831404,
+						"rank": 4,
+						"hierarchicalRank": 5,
+						"isLeaf": false
+					}
+				]
+			},
+			{
+				"name": "Variables",
+				"type": "Categorical",
+				"clusters": [
+					{
+						"cluster": "{Class {Iris-setosa}, PetalLength ]-inf;2.4], PetalWidth ]-inf;0.8], ...}",
+						"parentCluster": "B1",
+						"frequency": 238,
+						"interest": 1,
+						"hierarchicalLevel": 1,
+						"rank": 1,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Class {Iris-virginica}, PetalLength ]4.75;+inf[, PetalWidth ]1.75;+inf[, ...}",
+						"parentCluster": "B3",
+						"frequency": 168,
+						"interest": 0.761842,
+						"hierarchicalLevel": 1,
+						"rank": 3,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{Class {Iris-versicolor}, PetalLength ]2.4;4.75], PetalWidth ]0.8;1.75]}",
+						"parentCluster": "B5",
+						"frequency": 149,
+						"interest": 0.712251,
+						"hierarchicalLevel": 1,
+						"rank": 5,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "{SepalLength ]5.45;6.85], SepalWidth ]-inf;3.35]}",
+						"parentCluster": "B5",
+						"frequency": 195,
+						"interest": 0.497622,
+						"hierarchicalLevel": 1,
+						"rank": 7,
+						"hierarchicalRank": 7,
+						"isLeaf": true
+					},
+					{
+						"cluster": "B1",
+						"parentCluster": "",
+						"frequency": 750,
+						"interest": 0.758868,
+						"hierarchicalLevel": 0.499948,
+						"rank": 2,
+						"hierarchicalRank": 2,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B3",
+						"parentCluster": "B1",
+						"frequency": 512,
+						"interest": 0.64678,
+						"hierarchicalLevel": 0.830993,
+						"rank": 4,
+						"hierarchicalRank": 4,
+						"isLeaf": false
+					},
+					{
+						"cluster": "B5",
+						"parentCluster": "B3",
+						"frequency": 344,
+						"interest": 0.590587,
+						"hierarchicalLevel": 0.917833,
+						"rank": 6,
+						"hierarchicalRank": 6,
+						"isLeaf": false
+					}
+				]
+			}
+		],
+		"cellPartIndexes": [
+			[0,0],
+			[1,1],
+			[2,2],
+			[2,3],
+			[1,3],
+			[0,3],
+			[2,0],
+			[2,1],
+			[1,0],
+			[1,2]
+		],
+		"cellFrequencies": [225,160,144,90,80,25,8,8,5,5]
+	},
+	"khiops_encoding": "ascii"
+}
diff --git a/tests/test_core.py b/tests/test_core.py
index e72bdc1c..1cdddeab 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -111,6 +111,7 @@ def test_coclustering_results(self):
         reports = [
             "Adult",
             "Iris",
+            "IrisIV",
             "Ansi_Coclustering",
             "AnsiGreek_Coclustering",
             "AnsiLatin_Coclustering",

From 10a6dd6cf8385c8c629951461ffe22047dc78ba0 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 29 Apr 2025 18:21:25 +0200
Subject: [PATCH 10/18] Update reports core tests to use `to_json` methods with
 the updated references

Remove CSV report references, as they are no longer needed.
---
 .../analysis_results/ref_reports/Adult.txt    | 4657 ----------
 .../ref_reports/AdultEvaluation.txt           | 2046 ----
 .../analysis_results/ref_reports/Ansi.txt     | 2120 -----
 .../ref_reports/AnsiGreek.txt                 | 3130 -------
 .../ref_reports/AnsiLatin.txt                 | 3130 -------
 .../ref_reports/AnsiLatinGreek.txt            | 4140 ---------
 .../analysis_results/ref_reports/AnyChar.txt  |  830 --
 .../Deft2017ChallengeNGrams1000.txt           | 8211 -----------------
 .../ref_reports/EmptyDatabase.txt             |   28 -
 .../analysis_results/ref_reports/Greek.txt    | 2120 -----
 .../analysis_results/ref_reports/Iris2D.txt   | 6847 --------------
 .../analysis_results/ref_reports/IrisC.txt    | 6378 -------------
 .../analysis_results/ref_reports/IrisG.txt    | 6373 -------------
 .../analysis_results/ref_reports/IrisR.txt    | 2356 -----
 .../analysis_results/ref_reports/IrisU.txt    | 1236 ---
 .../analysis_results/ref_reports/IrisU2D.txt  | 1159 ---
 .../ref_reports/LargeSpiral.txt               | 4499 ---------
 .../analysis_results/ref_reports/Latin.txt    | 2120 -----
 .../ref_reports/LatinGreek.txt                | 3130 -------
 .../ref_reports/MissingDiscretization.txt     |   65 -
 .../ref_reports/MissingMODLEqualWidth.txt     |  491 -
 .../ref_reports/NoBivariateDetailedStats.txt  |   69 -
 .../ref_reports/NoPredictorDetails.txt        | 4126 ---------
 .../ref_reports/XORRegression.txt             | 2128 -----
 .../ref_reports/Adult.khc                     | 2350 -----
 .../ref_reports/AdultLegacy.khc               | 2023 ----
 .../ref_reports/AdultLegacy_hierarchy_age.txt |   12 -
 .../AdultLegacy_hierarchy_education_num.txt   |    8 -
 .../AdultLegacy_hierarchy_hours_per_week.txt  |    6 -
 .../AdultLegacy_hierarchy_marital_status.txt  |    6 -
 .../AdultLegacy_hierarchy_occupation.txt      |   12 -
 .../ref_reports/AdultLegacy_hierarchy_sex.txt |    4 -
 .../ref_reports/Adult_hierarchy_age.txt       |   12 -
 .../Adult_hierarchy_education_num.txt         |    8 -
 .../Adult_hierarchy_hours_per_week.txt        |    6 -
 .../Adult_hierarchy_marital_status.txt        |    6 -
 .../Adult_hierarchy_occupation.txt            |   14 -
 .../ref_reports/Adult_hierarchy_sex.txt       |    4 -
 .../ref_reports/AnsiGreek_Coclustering.khc    |   58 -
 .../AnsiGreek_Coclustering_hierarchy_Char.txt |    6 -
 .../AnsiGreek_Coclustering_hierarchy_Type.txt |    6 -
 .../AnsiLatinGreek_Coclustering.khc           |   65 -
 ...LatinGreek_Coclustering_hierarchy_Char.txt |    8 -
 ...LatinGreek_Coclustering_hierarchy_Type.txt |    8 -
 .../ref_reports/AnsiLatin_Coclustering.khc    |   58 -
 .../AnsiLatin_Coclustering_hierarchy_Char.txt |    6 -
 .../AnsiLatin_Coclustering_hierarchy_Type.txt |    6 -
 .../ref_reports/Ansi_Coclustering.khc         |   51 -
 .../Ansi_Coclustering_hierarchy_Char.txt      |    4 -
 .../Ansi_Coclustering_hierarchy_Type.txt      |    4 -
 .../ref_reports/Greek_Coclustering.khc        |   51 -
 .../Greek_Coclustering_hierarchy_Char.txt     |    4 -
 .../Greek_Coclustering_hierarchy_Type.txt     |    4 -
 .../coclustering_results/ref_reports/Iris.khc |   69 -
 .../ref_reports/Iris_hierarchy_Class.txt      |    6 -
 .../Iris_hierarchy_PetalLength.txt            |    6 -
 .../ref_reports/Iris_hierarchy_PetalWidth.txt |    6 -
 .../ref_reports/LatinGreek_Coclustering.khc   |   58 -
 ...LatinGreek_Coclustering_hierarchy_Char.txt |    6 -
 ...LatinGreek_Coclustering_hierarchy_Type.txt |    6 -
 .../ref_reports/Latin_Coclustering.khc        |   51 -
 .../Latin_Coclustering_hierarchy_Char.txt     |    4 -
 .../Latin_Coclustering_hierarchy_Type.txt     |    4 -
 .../ref_reports/MushroomAnnotated.khc         |  140 -
 .../MushroomAnnotated_hierarchy_CapColor.txt  |   14 -
 .../MushroomAnnotated_hierarchy_Odor.txt      |   14 -
 tests/test_core.py                            |  130 +-
 67 files changed, 71 insertions(+), 76642 deletions(-)
 delete mode 100644 tests/resources/analysis_results/ref_reports/Adult.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/AdultEvaluation.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/Ansi.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/AnsiGreek.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/AnsiLatin.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/AnsiLatinGreek.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/AnyChar.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/EmptyDatabase.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/Greek.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/Iris2D.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/IrisC.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/IrisG.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/IrisR.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/IrisU.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/IrisU2D.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/LargeSpiral.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/Latin.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/LatinGreek.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/MissingDiscretization.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt
 delete mode 100644 tests/resources/analysis_results/ref_reports/XORRegression.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Iris.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc
 delete mode 100644 tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt
 delete mode 100644 tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt

diff --git a/tests/resources/analysis_results/ref_reports/Adult.txt b/tests/resources/analysis_results/ref_reports/Adult.txt
deleted file mode 100644
index c53d6551..00000000
--- a/tests/resources/analysis_results/ref_reports/Adult.txt
+++ /dev/null
@@ -1,4657 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Adult
-Variables
-	Categorical	9
-	Numerical	7
-	Total	16
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	34174
-Learning task	Classification analysis
-Target variable	class
-Main target value	more
-Target descriptive stats
-	Values	2
-	Mode	less
-	Mode frequency	26028
-Target variable stats
-	less	26028
-	more	8146
-Evaluated variables	15
-Informative variables	13
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	10.4392
-	Data cost	18762.8
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	relationship	Categorical	0.207419		4	6						Husband	13781	3.4012	46.5087	14829.9	
-R02	marital_status	Categorical	0.19789		3	7						Married-civ-spouse	15653	3.4012	39.1965	15016.2	
-R03	capital_gain	Numerical	0.135437		20	120	0	99999	1077.573272	7458.589277	0			3.4012	232.759	15995.1	
-R04	age	Numerical	0.118138		10	74	17	90	38.65719553	13.7247169	0			3.4012	106.285	16446.3	
-R05	education_num	Numerical	0.114003		7	16	1	16	10.07233569	2.570667893	0			3.4012	78.827	16551.4	
-R06	education	Categorical	0.113466		7	16						HS-grad	11045	3.4012	88.9034	16551.4	
-R07	occupation	Categorical	0.0879994		7	14						Prof-specialty	6288	3.4012	86.5284	17031.9	
-R08	hours_per_week	Numerical	0.0667205		6	95	1	99	40.41060455	12.43409782	0			3.4012	69.08	17448.8	
-R09	capital_loss	Numerical	0.0529043		16	96	0	4356	88.68692573	405.648105	0			3.4012	202.197	17575.1	
-R10	sex	Categorical	0.0453622		2	2						Male	22863	3.4012	20.8139	17898.1	
-R11	workclass	Categorical	0.0206918		4	8						Private	25713	3.4012	47.5643	18334.5	
-R12	race	Categorical	0.0106475		2	5						White	29231	3.4012	25.7688	18544.9	
-R13	native_country	Categorical	0.0063401		3	41						United-States	31267	3.4012	74.6717	18576.8	
-R14	Label	Numerical	0		1	34174	1	48842	24460.29183	14094.37599	0			0.693147	10.4392	18762.8	
-R15	fnlwgt	Numerical	0		1	22523	12285	1490400	189619.5541	105285.481	0			0.693147	10.4392	18762.8	
-
-Detailed variable statistics
-
-Rank	R01	relationship	Categorical
-
-Data grid	Supervised
-Dimensions
-relationship	Categorical	Value groups
-	{Husband, Wife}	Husband	Wife
-	{Not-in-family}	Not-in-family
-	{Own-child, Other-relative}	Own-child	Other-relative	 * 
-	{Unmarried}	Unmarried
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Husband, Wife}	8487	6942	0.42026
-{Not-in-family}	7916	871	0.144028
-{Own-child, Other-relative}	6210	107	0.331951
-{Unmarried}	3415	226	0.103761
-
-Input values
-	Husband	13781
-	Not-in-family	8787
-	Own-child	5289
-	Unmarried	3641
-	Wife	1648
-	Other-relative	1028
-
-Rank	R02	marital_status	Categorical
-
-Data grid	Supervised
-Dimensions
-marital_status	Categorical	Value groups
-	{Married-civ-spouse, Married-AF-spouse}	Married-civ-spouse	Married-AF-spouse	 * 
-	{Never-married, Separated}	Never-married	Separated
-	{Divorced, Widowed, Married-spouse-absent}	Divorced	Widowed	Married-spouse-absent
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Married-civ-spouse, Married-AF-spouse}	8699	6977	0.428554
-{Never-married, Separated}	11773	550	0.467191
-{Divorced, Widowed, Married-spouse-absent}	5556	619	0.104255
-
-Input values
-	Married-civ-spouse	15653
-	Never-married	11245
-	Divorced	4676
-	Separated	1078
-	Widowed	1054
-	Married-spouse-absent	445
-	Married-AF-spouse	23
-
-Rank	R03	capital_gain	Numerical
-
-Data grid	Supervised
-Dimensions
-capital_gain	Numerical	Intervals
-	]-inf;57]	0	57
-	]57;3040]	57	3040
-	]3040;3120]	3040	3120
-	]3120;4240]	3120	4240
-	]4240;4400]	4240	4400
-	]4400;4668]	4400	4668
-	]4668;4826]	4668	4826
-	]4826;4932.5]	4826	4932.5
-	]4932.5;4970]	4932.5	4970
-	]4970;5119]	4970	5119
-	]5119;5310]	5119	5310
-	]5310;6667]	5310	6667
-	]6667;7070]	6667	7070
-	]7070;7436]	7070	7436
-	]7436;7560]	7436	7560
-	]7560;10543]	7560	10543
-	]10543;10585]	10543	10585
-	]10585;30900]	10585	30900
-	]30900;70000]	30900	70000
-	]70000;+inf[	70000	99999
-class	Categorical	Values
-	less
-	more
-Cells
-Interval	less	more	Interest
-]-inf;57]	24935	6425	0.036328
-]57;3040]	483	0	0.0476561
-]3040;3120]	3	103	0.0488677
-]3120;4240]	327	0	0.032264
-]4240;4400]	11	66	0.0239359
-]4400;4668]	76	0	0.00749868
-]4668;4826]	0	22	0.0114311
-]4826;4932.5]	17	0	0.00167734
-]4932.5;4970]	0	8	0.00415677
-]4970;5119]	87	0	0.00858401
-]5119;5310]	0	104	0.054038
-]5310;6667]	31	28	0.00281621
-]6667;7070]	37	0	0.00365067
-]7070;7436]	0	260	0.135095
-]7436;7560]	5	0	0.000493334
-]7560;10543]	2	395	0.200881
-]10543;10585]	5	0	0.000493334
-]10585;30900]	1	564	0.290493
-]30900;70000]	8	0	0.000789334
-]70000;+inf[	0	171	0.088851
-
-Rank	R04	age	Numerical
-
-Data grid	Supervised
-Dimensions
-age	Numerical	Intervals
-	]-inf;20.5]	17	20.5
-	]20.5;23.5]	20.5	23.5
-	]23.5;26.5]	23.5	26.5
-	]26.5;28.5]	26.5	28.5
-	]28.5;31.5]	28.5	31.5
-	]31.5;35.5]	31.5	35.5
-	]35.5;42.5]	35.5	42.5
-	]42.5;55.5]	42.5	55.5
-	]55.5;61.5]	55.5	61.5
-	]61.5;+inf[	61.5	90
-class	Categorical	Values
-	less
-	more
-Cells
-Interval	less	more	Interest
-]-inf;20.5]	2523	1	0.297283
-]20.5;23.5]	2485	34	0.238516
-]23.5;26.5]	2341	136	0.133666
-]26.5;28.5]	1538	190	0.040517
-]28.5;31.5]	2222	526	0.00767092
-]31.5;35.5]	2776	898	0.000161185
-]35.5;42.5]	4024	2008	0.0601262
-]42.5;55.5]	4950	3162	0.200273
-]55.5;61.5]	1427	707	0.020585
-]61.5;+inf[	1742	484	0.00120059
-
-Rank	R05	education_num	Numerical
-
-Data grid	Supervised
-Dimensions
-education_num	Numerical	Intervals
-	]-inf;8.5]	1	8.5
-	]8.5;9.5]	8.5	9.5
-	]9.5;10.5]	9.5	10.5
-	]10.5;12.5]	10.5	12.5
-	]12.5;13.5]	12.5	13.5
-	]13.5;14.5]	13.5	14.5
-	]14.5;+inf[	14.5	16
-class	Categorical	Values
-	less
-	more
-Cells
-Interval	less	more	Interest
-]-inf;8.5]	4224	250	0.248922
-]8.5;9.5]	9292	1753	0.096573
-]9.5;10.5]	6226	1437	0.0263235
-]10.5;12.5]	1909	671	0.00150022
-]12.5;13.5]	3288	2273	0.179713
-]13.5;14.5]	831	1023	0.191076
-]14.5;+inf[	258	739	0.255893
-
-Rank	R06	education	Categorical
-
-Data grid	Supervised
-Dimensions
-education	Categorical	Value groups
-	{HS-grad}	HS-grad
-	{Some-college}	Some-college
-	{Bachelors}	Bachelors
-	{11th, 10th, 7th-8th, ...}	11th	10th	7th-8th	9th	12th	5th-6th	1st-4th	Preschool	 * 
-	{Assoc-voc, Assoc-acdm}	Assoc-voc	Assoc-acdm
-	{Masters}	Masters
-	{Prof-school, Doctorate}	Prof-school	Doctorate
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{HS-grad}	9292	1753	0.096573
-{Some-college}	6226	1437	0.0263235
-{Bachelors}	3288	2273	0.179713
-{11th, 10th, 7th-8th, ...}	4224	250	0.248922
-{Assoc-voc, Assoc-acdm}	1909	671	0.00150022
-{Masters}	831	1023	0.191076
-{Prof-school, Doctorate}	258	739	0.255893
-
-Input values
-	HS-grad	11045
-	Some-college	7663
-	Bachelors	5561
-	Masters	1854
-	Assoc-voc	1465
-	11th	1265
-	Assoc-acdm	1115
-	10th	952
-	7th-8th	658
-	Prof-school	577
-	9th	535
-	12th	458
-	Doctorate	420
-	5th-6th	362
-	1st-4th	190
-	Preschool	54
-
-Rank	R07	occupation	Categorical
-
-Data grid	Supervised
-Dimensions
-occupation	Categorical	Value groups
-	{Adm-clerical, Machine-op-inspct, Farming-fishing}	Adm-clerical	Machine-op-inspct	Farming-fishing
-	{Prof-specialty, Armed-Forces}	Prof-specialty	Armed-Forces	 * 
-	{Craft-repair, Transport-moving}	Craft-repair	Transport-moving
-	{Sales, Tech-support, Protective-serv}	Sales	Tech-support	Protective-serv
-	{Exec-managerial}	Exec-managerial
-	{Other-service, Priv-house-serv}	Other-service	Priv-house-serv
-	{Handlers-cleaners}	Handlers-cleaners
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Adm-clerical, Machine-op-inspct, Farming-fishing}	6177	933	0.149983
-{Prof-specialty, Armed-Forces}	4161	2140	0.0960551
-{Craft-repair, Transport-moving}	4644	1309	0.00333952
-{Sales, Tech-support, Protective-serv}	4030	1509	0.010052
-{Exec-managerial}	2222	2018	0.330687
-{Other-service, Priv-house-serv}	3463	138	0.325246
-{Handlers-cleaners}	1331	99	0.084638
-
-Input values
-	Prof-specialty	6288
-	Craft-repair	4290
-	Exec-managerial	4240
-	Adm-clerical	3917
-	Sales	3852
-	Other-service	3430
-	Machine-op-inspct	2140
-	Transport-moving	1663
-	Handlers-cleaners	1430
-	Farming-fishing	1053
-	Tech-support	1003
-	Protective-serv	684
-	Priv-house-serv	171
-	Armed-Forces	13
-
-Rank	R08	hours_per_week	Numerical
-
-Data grid	Supervised
-Dimensions
-hours_per_week	Numerical	Intervals
-	]-inf;34.5]	1	34.5
-	]34.5;39.5]	34.5	39.5
-	]39.5;40.5]	39.5	40.5
-	]40.5;49.5]	40.5	49.5
-	]49.5;64.5]	49.5	64.5
-	]64.5;+inf[	64.5	99
-class	Categorical	Values
-	less
-	more
-Cells
-Interval	less	more	Interest
-]-inf;34.5]	5485	410	0.45826
-]34.5;39.5]	1923	359	0.0349894
-]39.5;40.5]	12550	3441	0.0187227
-]40.5;49.5]	2163	1118	0.0674108
-]49.5;64.5]	3154	2406	0.390525
-]64.5;+inf[	753	412	0.030092
-
-Rank	R09	capital_loss	Numerical
-
-Data grid	Supervised
-Dimensions
-capital_loss	Numerical	Intervals
-	]-inf;70]	0	70
-	]70;1457]	70	1457
-	]1457;1494]	1457	1494
-	]1494;1551]	1494	1551
-	]1551;1568.5]	1551	1568.5
-	]1568.5;1820.5]	1568.5	1820.5
-	]1820.5;1859]	1820.5	1859
-	]1859;1881]	1859	1881
-	]1881;1927]	1881	1927
-	]1927;1975.5]	1927	1975.5
-	]1975.5;1978.5]	1975.5	1978.5
-	]1978.5;2161]	1978.5	2161
-	]2161;2176.5]	2161	2176.5
-	]2176.5;2384]	2176.5	2384
-	]2384;2450]	2384	2450
-	]2450;+inf[	2450	4356
-class	Categorical	Values
-	less
-	more
-Cells
-Interval	less	more	Interest
-]-inf;70]	25227	7329	0.0135746
-]70;1457]	92	2	0.0155286
-]1457;1494]	20	33	0.0150177
-]1494;1551]	23	0	0.00533179
-]1551;1568.5]	0	29	0.0354029
-]1568.5;1820.5]	353	3	0.0707515
-]1820.5;1859]	2	49	0.0530989
-]1859;1881]	45	0	0.0104318
-]1881;1927]	13	372	0.408768
-]1927;1975.5]	19	0	0.00440452
-]1975.5;1978.5]	0	183	0.223404
-]1978.5;2161]	131	0	0.030368
-]2161;2176.5]	0	9	0.0109871
-]2176.5;2384]	83	32	0.000414099
-]2384;2450]	0	71	0.086676
-]2450;+inf[	20	34	0.0158399
-
-Rank	R10	sex	Categorical
-
-Data grid	Supervised
-Dimensions
-sex	Categorical	Value groups
-	{Male}	Male
-	{Female}	Female	 * 
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Male}	15950	6913	0.283758
-{Female}	10078	1233	0.716242
-
-Input values
-	Male	22863
-	Female	11311
-
-Rank	R11	workclass	Categorical
-
-Data grid	Supervised
-Dimensions
-workclass	Categorical	Value groups
-	{Private, Without-pay, Never-worked}	Private	Without-pay	Never-worked	 * 
-	{Self-emp-not-inc, Local-gov, State-gov}	Self-emp-not-inc	Local-gov	State-gov
-	{Self-emp-inc}	Self-emp-inc
-	{Federal-gov}	Federal-gov
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Private, Without-pay, Never-worked}	20389	5347	0.164421
-{Self-emp-not-inc, Local-gov, State-gov}	4485	1768	0.078268
-{Self-emp-inc}	532	656	0.64463
-{Federal-gov}	622	375	0.112681
-
-Input values
-	Private	25713
-	Self-emp-not-inc	2698
-	Local-gov	2216
-	State-gov	1339
-	Self-emp-inc	1188
-	Federal-gov	997
-	Without-pay	15
-	Never-worked	8
-
-Rank	R12	race	Categorical
-
-Data grid	Supervised
-Dimensions
-race	Categorical	Value groups
-	{White, Asian-Pac-Islander}	White	Asian-Pac-Islander
-	{Black, Amer-Indian-Eskimo, Other}	Black	Amer-Indian-Eskimo	Other	 * 
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{White, Asian-Pac-Islander}	22590	7703	0.0972591
-{Black, Amer-Indian-Eskimo, Other}	3438	443	0.902741
-
-Input values
-	White	29231
-	Black	3276
-	Asian-Pac-Islander	1062
-	Amer-Indian-Eskimo	335
-	Other	270
-
-Rank	R13	native_country	Categorical
-
-Data grid	Supervised
-Dimensions
-native_country	Categorical	Value groups
-	{United-States, Philippines, Germany, ...}	United-States	Philippines	Germany	Cuba	China	South	Poland	Portugal	Ireland	Thailand	Yugoslavia	Scotland
-	{Mexico, Puerto-Rico, El-Salvador, ...}	Mexico	Puerto-Rico	El-Salvador	Dominican-Republic	Jamaica	Columbia	Vietnam	Guatemala	Haiti	Ecuador	Peru	Nicaragua	Laos	Outlying-US	Trinadad&Tobago	Honduras	Holand-Netherlands	 * 
-	{Canada, India, England, ...}	Canada	India	England	Italy	Japan	Taiwan	Iran	Greece	France	Cambodia	Hong	Hungary
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{United-States, Philippines, Germany, ...}	24257	7816	0.0138949
-{Mexico, Puerto-Rico, El-Salvador, ...}	1363	98	0.848593
-{Canada, India, England, ...}	408	232	0.137512
-
-Input values
-	United-States	31267
-	Mexico	672
-	Philippines	203
-	Germany	150
-	Puerto-Rico	133
-	Canada	121
-	El-Salvador	116
-	Cuba	100
-	India	98
-	China	89
-	England	84
-	South	82
-	Italy	75
-	Dominican-Republic	74
-	Jamaica	69
-	Columbia	64
-	Japan	63
-	Vietnam	63
-	Guatemala	60
-	Poland	58
-	Haiti	52
-	Portugal	48
-	Taiwan	46
-	Iran	38
-	Greece	36
-	Ecuador	33
-	Peru	31
-	Nicaragua	29
-	France	26
-	Ireland	24
-	Thailand	23
-	Cambodia	21
-	Laos	20
-	Outlying-US	18
-	Hong	17
-	Yugoslavia	16
-	Hungary	15
-	Trinadad&Tobago	15
-	Scotland	13
-	Honduras	11
-	Holand-Netherlands	1
-
-
-Report	Modeling
-
-Dictionary	Adult
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	class
-Main target value	more
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	13
-R2	Classifier	Univariate	Univariate relationship	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-Pcapital_gain	capital_gain	0.135437	0.910187	0.351103
-Pmarital_status	marital_status	0.19789	0.529327	0.323649
-Prelationship	relationship	0.207419	0.382355	0.281616
-Page	age	0.118138	0.572296	0.260019
-Peducation_num	education_num	0.114003	0.500031	0.238757
-Poccupation	occupation	0.0879994	0.491241	0.207916
-Pcapital_loss	capital_loss	0.0529043	0.773468	0.202286
-Phours_per_week	hours_per_week	0.0667205	0.445343	0.172376
-Peducation	education	0.113466	0.246124	0.167113
-Prace	race	0.0106475	0.242218	0.050784
-Pnative_country	native_country	0.0063401	0.359406	0.0477354
-Pworkclass	workclass	0.0206918	0.054718	0.0336484
-Psex	sex	0.0453622	0.00393677	0.0133634
-
-
-Report	Evaluation	Train
-
-Dictionary	Adult
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	34174
-Learning task	Classification analysis
-Target variable	class
-Main target value	more
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.868526	0.490196	0.925735
-R2	Classifier	Univariate	Univariate relationship	0.761632	0.208972	0.779064
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	less	more
-$less	24638	3103
-$more	1390	5043
-
-Rank	R2
-
-Confusion matrix
-	less	more
-$less	26028	8146
-$more	0	0
-
-Data grid	Supervised
-Dimensions
-relationship	Categorical	Value groups
-	{Husband, Wife}	Husband	Wife
-	{Not-in-family}	Not-in-family
-	{Own-child, Other-relative}	Own-child	Other-relative	 * 
-	{Unmarried}	Unmarried
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Husband, Wife}	8487	6942	0.42026
-{Not-in-family}	7916	871	0.144028
-{Own-child, Other-relative}	6210	107	0.331951
-{Unmarried}	3415	226	0.103761
-
-Lift curves	less
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.131297	0.131297	0.129073
-0.2	0.2	0.262594	0.262594	0.258146
-0.3	0.3	0.393891	0.393891	0.387219
-0.4	0.4	0.525188	0.525188	0.516292
-0.5	0.5	0.656485	0.656485	0.645365
-0.6	0.6	0.787782	0.787782	0.774439
-0.7	0.7	0.919079	0.919079	0.903512
-0.8	0.8	1.05038	1.05038	1.03258
-0.9	0.9	1.18167	1.18167	1.16166
-1.0	1.0	1.31297	1.31297	1.29073
-1.1	1.1	1.44427	1.44427	1.4198
-1.2	1.2	1.57556	1.57556	1.54888
-1.3	1.3	1.70686	1.70686	1.67795
-1.4	1.4	1.83816	1.83816	1.80702
-1.5	1.5	1.96946	1.96946	1.9361
-1.6	1.6	2.10075	2.10075	2.06517
-1.7	1.7	2.23205	2.23205	2.19424
-1.8	1.8	2.36335	2.36335	2.32332
-1.9	1.9	2.49464	2.49464	2.45239
-2.0	2.0	2.62594	2.62594	2.58146
-2.1	2.1	2.75724	2.75724	2.71054
-2.2	2.2	2.88854	2.88854	2.83961
-2.3	2.3	3.01983	3.01983	2.96868
-2.4	2.4	3.15113	3.15113	3.09775
-2.5	2.5	3.28243	3.28243	3.22683
-2.6	2.6	3.41372	3.41372	3.3559
-2.7	2.7	3.54502	3.54502	3.48497
-2.8	2.8	3.67632	3.67632	3.61405
-2.9	2.9	3.80761	3.80761	3.74312
-3.0	3.0	3.93891	3.93891	3.87219
-3.1	3.1	4.07021	4.07021	4.00127
-3.2	3.2	4.20151	4.20151	4.13034
-3.3	3.3	4.3328	4.3328	4.25941
-3.4	3.4	4.4641	4.4641	4.38849
-3.5	3.5	4.5954	4.5954	4.51756
-3.6	3.6	4.72669	4.72669	4.64663
-3.7	3.7	4.85799	4.85799	4.7757
-3.8	3.8	4.98929	4.98929	4.90478
-3.9	3.9	5.12059	5.12059	5.03385
-4.0	4.0	5.25188	5.25188	5.16292
-4.1	4.1	5.38318	5.38318	5.292
-4.2	4.2	5.51448	5.51448	5.42107
-4.3	4.3	5.64577	5.64577	5.55014
-4.4	4.4	5.77707	5.77707	5.67922
-4.5	4.5	5.90837	5.90453	5.80829
-4.6	4.6	6.03966	6.03582	5.93736
-4.7	4.7	6.17096	6.16712	6.06644
-4.8	4.8	6.30226	6.29842	6.19551
-4.9	4.9	6.43356	6.42971	6.32458
-5.0	5.0	6.56485	6.56101	6.45365
-5.1	5.1	6.69615	6.69231	6.58273
-5.2	5.2	6.82745	6.82361	6.7118
-5.3	5.3	6.95874	6.9549	6.84087
-5.4	5.4	7.09004	7.0862	6.96995
-5.5	5.5	7.22134	7.2175	7.09902
-5.6	5.6	7.35264	7.34879	7.22809
-5.7	5.7	7.48393	7.48009	7.35717
-5.8	5.8	7.61523	7.61139	7.48624
-5.9	5.9	7.74653	7.74268	7.61531
-6.0	6.0	7.87782	7.87398	7.74439
-6.1	6.1	8.00912	8.00528	7.87346
-6.2	6.2	8.14042	8.13658	8.00253
-6.3	6.3	8.27172	8.26787	8.13161
-6.4	6.4	8.40301	8.39917	8.26068
-6.5	6.5	8.53431	8.53047	8.38975
-6.6	6.6	8.66561	8.66176	8.51882
-6.7	6.7	8.7969	8.79306	8.6479
-6.8	6.8	8.9282	8.92436	8.77697
-6.9	6.9	9.0595	9.05566	8.90604
-7.0	7.0	9.19079	9.18695	9.03512
-7.1	7.1	9.32209	9.31825	9.16419
-7.2	7.2	9.45339	9.44955	9.29326
-7.3	7.3	9.58469	9.58084	9.42234
-7.4	7.4	9.71598	9.71214	9.55141
-7.5	7.5	9.84728	9.84344	9.68048
-7.6	7.6	9.97858	9.97473	9.80956
-7.7	7.7	10.1099	10.106	9.93863
-7.8	7.8	10.2412	10.2373	10.0677
-7.9	7.9	10.3725	10.3686	10.1968
-8.0	8.0	10.5038	10.4999	10.3258
-8.1	8.1	10.6351	10.6312	10.4549
-8.2	8.2	10.7664	10.7625	10.584
-8.3	8.3	10.8977	10.8938	10.7131
-8.4	8.4	11.029	11.0251	10.8421
-8.5	8.5	11.1603	11.1564	10.9712
-8.6	8.6	11.2915	11.2877	11.1003
-8.7	8.7	11.4228	11.419	11.2294
-8.8	8.8	11.5541	11.5503	11.3584
-8.9	8.9	11.6854	11.6816	11.4875
-9.0	9.0	11.8167	11.8129	11.6166
-9.1	9.1	11.948	11.9442	11.7457
-9.2	9.2	12.0793	12.0755	11.8747
-9.3	9.3	12.2106	12.2068	12.0038
-9.4	9.4	12.3419	12.3381	12.1329
-9.5	9.5	12.4732	12.4655	12.2619
-9.6	9.6	12.6045	12.5968	12.391
-9.7	9.7	12.7358	12.7281	12.5201
-9.8	9.8	12.8671	12.8594	12.6492
-9.9	9.9	12.9984	12.9907	12.7782
-10.0	10.0	13.1297	13.122	12.9073
-10.1	10.1	13.261	13.2533	13.0364
-10.2	10.2	13.3923	13.3846	13.1655
-10.3	10.3	13.5236	13.5159	13.2945
-10.4	10.4	13.6549	13.6472	13.4236
-10.5	10.5	13.7862	13.7785	13.5527
-10.6	10.6	13.9175	13.9098	13.6817
-10.7	10.7	14.0488	14.0411	13.8108
-10.8	10.8	14.1801	14.1724	13.9399
-10.9	10.9	14.3114	14.3037	14.069
-11.0	11.0	14.4427	14.4312	14.198
-11.1	11.1	14.574	14.5624	14.3271
-11.2	11.2	14.7053	14.6937	14.4562
-11.3	11.3	14.8366	14.825	14.5853
-11.4	11.4	14.9679	14.9563	14.7143
-11.5	11.5	15.0992	15.0876	14.8434
-11.6	11.6	15.2305	15.2189	14.9725
-11.7	11.7	15.3618	15.3502	15.1016
-11.8	11.8	15.4931	15.4815	15.2306
-11.9	11.9	15.6244	15.6128	15.3597
-12.0	12.0	15.7556	15.7441	15.4888
-12.1	12.1	15.8869	15.8754	15.6178
-12.2	12.2	16.0182	16.0067	15.7469
-12.3	12.3	16.1495	16.138	15.876
-12.4	12.4	16.2808	16.2693	16.0051
-12.5	12.5	16.4121	16.4006	16.1341
-12.6	12.6	16.5434	16.5319	16.2632
-12.7	12.7	16.6747	16.6632	16.3923
-12.8	12.8	16.806	16.7945	16.5214
-12.9	12.9	16.9373	16.9258	16.6504
-13.0	13.0	17.0686	17.0571	16.7795
-13.1	13.1	17.1999	17.1884	16.9086
-13.2	13.2	17.3312	17.3197	17.0376
-13.3	13.3	17.4625	17.451	17.1667
-13.4	13.4	17.5938	17.5823	17.2958
-13.5	13.5	17.7251	17.7136	17.4249
-13.6	13.6	17.8564	17.8449	17.5539
-13.7	13.7	17.9877	17.9762	17.683
-13.8	13.8	18.119	18.1075	17.8121
-13.9	13.9	18.2503	18.2388	17.9412
-14.0	14.0	18.3816	18.3701	18.0702
-14.1	14.1	18.5129	18.5014	18.1993
-14.2	14.2	18.6442	18.6327	18.3284
-14.3	14.3	18.7755	18.764	18.4575
-14.4	14.4	18.9068	18.8953	18.5865
-14.5	14.5	19.0381	19.0265	18.7156
-14.6	14.6	19.1694	19.1578	18.8447
-14.7	14.7	19.3007	19.2891	18.9737
-14.8	14.8	19.432	19.4204	19.1028
-14.9	14.9	19.5633	19.5479	19.2319
-15.0	15.0	19.6946	19.6792	19.361
-15.1	15.1	19.8259	19.8105	19.49
-15.2	15.2	19.9572	19.9418	19.6191
-15.3	15.3	20.0885	20.0731	19.7482
-15.4	15.4	20.2197	20.2044	19.8773
-15.5	15.5	20.351	20.3357	20.0063
-15.6	15.6	20.4823	20.467	20.1354
-15.7	15.7	20.6136	20.5983	20.2645
-15.8	15.8	20.7449	20.7296	20.3935
-15.9	15.9	20.8762	20.8609	20.5226
-16.0	16.0	21.0075	20.9922	20.6517
-16.1	16.1	21.1388	21.1196	20.7808
-16.2	16.2	21.2701	21.2509	20.9098
-16.3	16.3	21.4014	21.3822	21.0389
-16.4	16.4	21.5327	21.5135	21.168
-16.5	16.5	21.664	21.6448	21.2971
-16.6	16.6	21.7953	21.7723	21.4261
-16.7	16.7	21.9266	21.9036	21.5552
-16.8	16.8	22.0579	22.0349	21.6843
-16.9	16.9	22.1892	22.1662	21.8134
-17.0	17.0	22.3205	22.2974	21.9424
-17.1	17.1	22.4518	22.4287	22.0715
-17.2	17.2	22.5831	22.56	22.2006
-17.3	17.3	22.7144	22.6913	22.3296
-17.4	17.4	22.8457	22.8226	22.4587
-17.5	17.5	22.977	22.9524	22.5878
-17.6	17.6	23.1083	23.0814	22.7169
-17.7	17.7	23.2396	23.2127	22.8459
-17.8	17.8	23.3709	23.344	22.975
-17.9	17.9	23.5022	23.4753	23.1041
-18.0	18.0	23.6335	23.6066	23.2332
-18.1	18.1	23.7648	23.7379	23.3622
-18.2	18.2	23.8961	23.8692	23.4913
-18.3	18.3	24.0274	24.0005	23.6204
-18.4	18.4	24.1587	24.1318	23.7495
-18.5	18.5	24.29	24.2631	23.8776
-18.6	18.6	24.4213	24.3944	24.0008
-18.7	18.7	24.5526	24.5257	24.1239
-18.8	18.8	24.6838	24.657	24.2471
-18.9	18.9	24.8151	24.7883	24.3702
-19.0	19.0	24.9464	24.9195	24.4934
-19.1	19.1	25.0777	25.047	24.6165
-19.2	19.2	25.209	25.1783	24.7397
-19.3	19.3	25.3403	25.3096	24.8628
-19.4	19.4	25.4716	25.4409	24.9859
-19.5	19.5	25.6029	25.5722	25.1091
-19.6	19.6	25.7342	25.7035	25.2322
-19.7	19.7	25.8655	25.8348	25.3554
-19.8	19.8	25.9968	25.9661	25.4785
-19.9	19.9	26.1281	26.0974	25.6017
-20.0	20.0	26.2594	26.2287	25.7248
-20.1	20.1	26.3907	26.36	25.848
-20.2	20.2	26.522	26.4913	25.9711
-20.3	20.3	26.6533	26.6187	26.0943
-20.4	20.4	26.7846	26.75	26.2174
-20.5	20.5	26.9159	26.8813	26.3406
-20.6	20.6	27.0472	27.0126	26.4637
-20.7	20.7	27.1785	27.1439	26.5869
-20.8	20.8	27.3098	27.2675	26.71
-20.9	20.9	27.4411	27.3988	26.8332
-21.0	21.0	27.5724	27.5301	26.9563
-21.1	21.1	27.7037	27.6614	27.0795
-21.2	21.2	27.835	27.7927	27.2026
-21.3	21.3	27.9663	27.924	27.3257
-21.4	21.4	28.0976	28.0553	27.4489
-21.5	21.5	28.2289	28.1866	27.572
-21.6	21.6	28.3602	28.3179	27.6952
-21.7	21.7	28.4915	28.4492	27.8183
-21.8	21.8	28.6228	28.5805	27.9415
-21.9	21.9	28.7541	28.7118	28.0646
-22.0	22.0	28.8854	28.8431	28.1878
-22.1	22.1	29.0167	28.9705	28.3109
-22.2	22.2	29.1479	29.1018	28.4341
-22.3	22.3	29.2792	29.2331	28.5572
-22.4	22.4	29.4105	29.3606	28.6804
-22.5	22.5	29.5418	29.4919	28.8035
-22.6	22.6	29.6731	29.6232	28.9267
-22.7	22.7	29.8044	29.7545	29.0498
-22.8	22.8	29.9357	29.8819	29.173
-22.9	22.9	30.067	30.0132	29.2961
-23.0	23.0	30.1983	30.1445	29.4193
-23.1	23.1	30.3296	30.272	29.5424
-23.2	23.2	30.4609	30.4033	29.6655
-23.3	23.3	30.5922	30.5346	29.7887
-23.4	23.4	30.7235	30.6659	29.9118
-23.5	23.5	30.8548	30.7972	30.035
-23.6	23.6	30.9861	30.9285	30.1581
-23.7	23.7	31.1174	31.0559	30.2813
-23.8	23.8	31.2487	31.1872	30.4044
-23.9	23.9	31.38	31.3185	30.5276
-24.0	24.0	31.5113	31.4498	30.6507
-24.1	24.1	31.6426	31.5773	30.7739
-24.2	24.2	31.7739	31.7086	30.897
-24.3	24.3	31.9052	31.8399	31.0202
-24.4	24.4	32.0365	31.9712	31.1433
-24.5	24.5	32.1678	32.1025	31.2665
-24.6	24.6	32.2991	32.2299	31.3896
-24.7	24.7	32.4304	32.3612	31.5128
-24.8	24.8	32.5617	32.4925	31.6359
-24.9	24.9	32.693	32.6238	31.7591
-25.0	25.0	32.8243	32.7551	31.8822
-25.1	25.1	32.9556	32.8864	32.0053
-25.2	25.2	33.0869	33.0139	32.1285
-25.3	25.3	33.2182	33.1452	32.2516
-25.4	25.4	33.3495	33.2726	32.3748
-25.5	25.5	33.4808	33.4039	32.4979
-25.6	25.6	33.612	33.5352	32.6211
-25.7	25.7	33.7433	33.66	32.7442
-25.8	25.8	33.8746	33.7901	32.8674
-25.9	25.9	34.0059	33.9214	32.9905
-26.0	26.0	34.1372	34.0527	33.1137
-26.1	26.1	34.2685	34.184	33.2368
-26.2	26.2	34.3998	34.3153	33.36
-26.3	26.3	34.5311	34.4466	33.4831
-26.4	26.4	34.6624	34.5779	33.6063
-26.5	26.5	34.7937	34.7054	33.7294
-26.6	26.6	34.925	34.8328	33.8526
-26.7	26.7	35.0563	34.9603	33.9757
-26.8	26.8	35.1876	35.0916	34.0989
-26.9	26.9	35.3189	35.2229	34.222
-27.0	27.0	35.4502	35.3542	34.3451
-27.1	27.1	35.5815	35.4855	34.4683
-27.2	27.2	35.7128	35.6168	34.5914
-27.3	27.3	35.8441	35.7442	34.7146
-27.4	27.4	35.9754	35.8717	34.8377
-27.5	27.5	36.1067	36.003	34.9609
-27.6	27.6	36.238	36.1343	35.084
-27.7	27.7	36.3693	36.2656	35.2072
-27.8	27.8	36.5006	36.3968	35.3303
-27.9	27.9	36.6319	36.5205	35.4535
-28.0	28.0	36.7632	36.6518	35.5766
-28.1	28.1	36.8945	36.7831	35.6998
-28.2	28.2	37.0258	36.9105	35.8229
-28.3	28.3	37.1571	37.0418	35.9461
-28.4	28.4	37.2884	37.1731	36.0692
-28.5	28.5	37.4197	37.3006	36.1924
-28.6	28.6	37.551	37.4319	36.3155
-28.7	28.7	37.6823	37.5632	36.4387
-28.8	28.8	37.8136	37.6945	36.5618
-28.9	28.9	37.9449	37.8257	36.6849
-29.0	29.0	38.0761	37.957	36.8081
-29.1	29.1	38.2074	38.0883	36.9312
-29.2	29.2	38.3387	38.2158	37.0514
-29.3	29.3	38.47	38.3471	37.1697
-29.4	29.4	38.6013	38.4784	37.288
-29.5	29.5	38.7326	38.6097	37.4063
-29.6	29.6	38.8639	38.741	37.5246
-29.7	29.7	38.9952	38.8684	37.6428
-29.8	29.8	39.1265	38.9959	37.7611
-29.9	29.9	39.2578	39.1272	37.8794
-30.0	30.0	39.3891	39.2585	37.9977
-30.1	30.1	39.5204	39.3859	38.116
-30.2	30.2	39.6517	39.5134	38.2343
-30.3	30.3	39.783	39.6409	38.3525
-30.4	30.4	39.9143	39.7722	38.4708
-30.5	30.5	40.0456	39.9035	38.5891
-30.6	30.6	40.1769	40.0347	38.7074
-30.7	30.7	40.3082	40.166	38.8257
-30.8	30.8	40.4395	40.2973	38.9439
-30.9	30.9	40.5708	40.4286	39.0622
-31.0	31.0	40.7021	40.5561	39.1805
-31.1	31.1	40.8334	40.6874	39.2988
-31.2	31.2	40.9647	40.8187	39.4171
-31.3	31.3	41.096	40.95	39.5354
-31.4	31.4	41.2273	41.0813	39.6536
-31.5	31.5	41.3586	41.2126	39.7719
-31.6	31.6	41.4899	41.34	39.8902
-31.7	31.7	41.6212	41.4713	40.0085
-31.8	31.8	41.7525	41.6026	40.1268
-31.9	31.9	41.8838	41.7301	40.2451
-32.0	32.0	42.0151	41.8614	40.3633
-32.1	32.1	42.1464	41.9927	40.4816
-32.2	32.2	42.2777	42.1201	40.5999
-32.3	32.3	42.409	42.2514	40.7182
-32.4	32.4	42.5402	42.3827	40.8365
-32.5	32.5	42.6715	42.514	40.9547
-32.6	32.6	42.8028	42.6415	41.073
-32.7	32.7	42.9341	42.7728	41.1913
-32.8	32.8	43.0654	42.9002	41.3096
-32.9	32.9	43.1967	43.0315	41.4279
-33.0	33.0	43.328	43.159	41.5462
-33.1	33.1	43.4593	43.2903	41.6644
-33.2	33.2	43.5906	43.4177	41.7827
-33.3	33.3	43.7219	43.549	41.901
-33.4	33.4	43.8532	43.6765	42.0193
-33.5	33.5	43.9845	43.8039	42.1376
-33.6	33.6	44.1158	43.9352	42.2559
-33.7	33.7	44.2471	44.0644	42.3741
-33.8	33.8	44.3784	44.194	42.4924
-33.9	33.9	44.5097	44.3253	42.6107
-34.0	34.0	44.641	44.4566	42.729
-34.1	34.1	44.7723	44.5879	42.8473
-34.2	34.2	44.9036	44.7192	42.9655
-34.3	34.3	45.0349	44.8505	43.0838
-34.4	34.4	45.1662	44.9779	43.2021
-34.5	34.5	45.2975	45.1092	43.3204
-34.6	34.6	45.4288	45.2405	43.4387
-34.7	34.7	45.5601	45.3718	43.557
-34.8	34.8	45.6914	45.5031	43.6752
-34.9	34.9	45.8227	45.6306	43.7935
-35.0	35.0	45.954	45.7619	43.9118
-35.1	35.1	46.0853	45.8855	44.0301
-35.2	35.2	46.2166	46.0168	44.1484
-35.3	35.3	46.3479	46.1442	44.2667
-35.4	35.4	46.4792	46.2755	44.3849
-35.5	35.5	46.6105	46.4068	44.5032
-35.6	35.6	46.7418	46.5343	44.6215
-35.7	35.7	46.8731	46.6541	44.7398
-35.8	35.8	47.0043	46.7854	44.8581
-35.9	35.9	47.1356	46.9167	44.9763
-36.0	36.0	47.2669	47.0479	45.0946
-36.1	36.1	47.3982	47.1792	45.2129
-36.2	36.2	47.5295	47.3105	45.3312
-36.3	36.3	47.6608	47.4418	45.4495
-36.4	36.4	47.7921	47.5727	45.5678
-36.5	36.5	47.9234	47.7006	45.686
-36.6	36.6	48.0547	47.8274	45.8043
-36.7	36.7	48.186	47.9517	45.9226
-36.8	36.8	48.3173	48.0791	46.0409
-36.9	36.9	48.4486	48.2047	46.1592
-37.0	37.0	48.5799	48.3263	46.2775
-37.1	37.1	48.7112	48.4576	46.3957
-37.2	37.2	48.8425	48.5889	46.514
-37.3	37.3	48.9738	48.7202	46.6323
-37.4	37.4	49.1051	48.8438	46.7506
-37.5	37.5	49.2364	48.9751	46.8689
-37.6	37.6	49.3677	49.1064	46.9871
-37.7	37.7	49.499	49.2377	47.1054
-37.8	37.8	49.6303	49.369	47.2237
-37.9	37.9	49.7616	49.5003	47.342
-38.0	38.0	49.8929	49.6316	47.4603
-38.1	38.1	50.0242	49.7552	47.5786
-38.2	38.2	50.1555	49.8865	47.6968
-38.3	38.3	50.2868	50.014	47.8151
-38.4	38.4	50.4181	50.1338	47.9334
-38.5	38.5	50.5494	50.2612	48.0517
-38.6	38.6	50.6807	50.3887	48.17
-38.7	38.7	50.812	50.52	48.2883
-38.8	38.8	50.9433	50.6474	48.4065
-38.9	38.9	51.0746	50.7787	48.5248
-39.0	39.0	51.2059	50.91	48.6431
-39.1	39.1	51.3372	51.0375	48.7614
-39.2	39.2	51.4684	51.1649	48.8797
-39.3	39.3	51.5997	51.2924	48.998
-39.4	39.4	51.731	51.4237	49.1162
-39.5	39.5	51.8623	51.5511	49.2345
-39.6	39.6	51.9936	51.6786	49.3528
-39.7	39.7	52.1249	51.806	49.4711
-39.8	39.8	52.2562	51.9258	49.5894
-39.9	39.9	52.3875	52.0571	49.7076
-40.0	40.0	52.5188	52.1884	49.8259
-40.1	40.1	52.6501	52.3159	49.9442
-40.2	40.2	52.7814	52.4433	50.0625
-40.3	40.3	52.9127	52.5684	50.1808
-40.4	40.4	53.044	52.6944	50.2991
-40.5	40.5	53.1753	52.8257	50.4173
-40.6	40.6	53.3066	52.957	50.5356
-40.7	40.7	53.4379	53.0875	50.6539
-40.8	40.8	53.5692	53.2081	50.7722
-40.9	40.9	53.7005	53.3393	50.8905
-41.0	41.0	53.8318	53.4553	51.0088
-41.1	41.1	53.9631	53.575	51.127
-41.2	41.2	54.0944	53.7036	51.2453
-41.3	41.3	54.2257	53.83	51.3636
-41.4	41.4	54.357	53.9574	51.4819
-41.5	41.5	54.4883	54.079	51.6002
-41.6	41.6	54.6196	54.2008	51.7184
-41.7	41.7	54.7509	54.3283	51.8367
-41.8	41.8	54.8822	54.455	51.955
-41.9	41.9	55.0135	54.5755	52.0733
-42.0	42.0	55.1448	54.6991	52.1916
-42.1	42.1	55.2761	54.8265	52.3099
-42.2	42.2	55.4074	54.954	52.4281
-42.3	42.3	55.5387	55.0815	52.5464
-42.4	42.4	55.67	55.2051	52.6647
-42.5	42.5	55.8013	55.321	52.783
-42.6	42.6	55.9325	55.4369	52.9013
-42.7	42.7	56.0638	55.5567	53.0196
-42.8	42.8	56.1951	55.6878	53.1378
-42.9	42.9	56.3264	55.8155	53.2561
-43.0	43.0	56.4577	55.9467	53.3744
-43.1	43.1	56.589	56.0665	53.4927
-43.2	43.2	56.7203	56.1901	53.611
-43.3	43.3	56.8516	56.3137	53.7292
-43.4	43.4	56.9829	56.4297	53.8475
-43.5	43.5	57.1142	56.5571	53.9658
-43.6	43.6	57.2455	56.6846	54.0841
-43.7	43.7	57.3768	56.812	54.2024
-43.8	43.8	57.5081	56.9318	54.3207
-43.9	43.9	57.6394	57.0593	54.4389
-44.0	44.0	57.7707	57.1846	54.5572
-44.1	44.1	57.902	57.3103	54.6755
-44.2	44.2	58.0333	57.4416	54.7938
-44.3	44.3	58.1646	57.5652	54.9121
-44.4	44.4	58.2959	57.6965	55.0304
-44.5	44.5	58.4272	57.824	55.1486
-44.6	44.6	58.5585	57.9515	55.2669
-44.7	44.7	58.6898	58.0751	55.3852
-44.8	44.8	58.8211	58.1987	55.5035
-44.9	44.9	58.9524	58.3184	55.6218
-45.0	45.0	59.0837	58.4459	55.74
-45.1	45.1	59.215	58.5695	55.8583
-45.2	45.2	59.3463	58.6868	55.9766
-45.3	45.3	59.4776	58.8167	56.0949
-45.4	45.4	59.6089	58.9442	56.2132
-45.5	45.5	59.7402	59.0548	56.3315
-45.6	45.6	59.8715	59.1645	56.4497
-45.7	45.7	60.0028	59.2958	56.568
-45.8	45.8	60.1341	59.4233	56.6863
-45.9	45.9	60.2654	59.5497	56.8046
-46.0	46.0	60.3966	59.6744	56.9229
-46.1	46.1	60.5279	59.8018	57.0412
-46.2	46.2	60.6592	59.9293	57.1594
-46.3	46.3	60.7905	60.0567	57.2777
-46.4	46.4	60.9218	60.1842	57.396
-46.5	46.5	61.0531	60.3155	57.5143
-46.6	46.6	61.1844	60.4429	57.6326
-46.7	46.7	61.3157	60.5665	57.7508
-46.8	46.8	61.447	60.6825	57.8691
-46.9	46.9	61.5783	60.8061	57.9874
-47.0	47.0	61.7096	60.9182	58.1057
-47.1	47.1	61.8409	61.0456	58.224
-47.2	47.2	61.9722	61.1615	58.3423
-47.3	47.3	62.1035	61.2852	58.4605
-47.4	47.4	62.2348	61.4011	58.5788
-47.5	47.5	62.3661	61.5285	58.6971
-47.6	47.6	62.4974	61.6522	58.8154
-47.7	47.7	62.6287	61.7758	58.9337
-47.8	47.8	62.76	61.9032	59.052
-47.9	47.9	62.8913	62.0241	59.1702
-48.0	48.0	63.0226	62.1505	59.2885
-48.1	48.1	63.1539	62.2672	59.4068
-48.2	48.2	63.2852	62.3862	59.5251
-48.3	48.3	63.4165	62.5098	59.6434
-48.4	48.4	63.5478	62.618	59.7617
-48.5	48.5	63.6791	62.7455	59.8799
-48.6	48.6	63.8104	62.8691	59.9982
-48.7	48.7	63.9417	62.9889	60.1165
-48.8	48.8	64.073	63.1125	60.2348
-48.9	48.9	64.2043	63.2361	60.3531
-49.0	49.0	64.3356	63.3597	60.4713
-49.1	49.1	64.4669	63.4718	60.5896
-49.2	49.2	64.5982	63.5992	60.7079
-49.3	49.3	64.7295	63.7192	60.8262
-49.4	49.4	64.8607	63.8503	60.9445
-49.5	49.5	64.992	63.974	61.0628
-49.6	49.6	65.1233	64.0975	61.181
-49.7	49.7	65.2546	64.2211	61.2993
-49.8	49.8	65.3859	64.3524	61.4176
-49.9	49.9	65.5172	64.4799	61.5359
-50.0	50.0	65.6485	64.5949	61.6542
-50.1	50.1	65.7798	64.7156	61.7725
-50.2	50.2	65.9111	64.8392	61.8907
-50.3	50.3	66.0424	64.9667	62.009
-50.4	50.4	66.1737	65.0946	62.1273
-50.5	50.5	66.305	65.2139	62.2456
-50.6	50.6	66.4363	65.3298	62.3639
-50.7	50.7	66.5676	65.4457	62.4821
-50.8	50.8	66.6989	65.5694	62.6004
-50.9	50.9	66.8302	65.6968	62.7187
-51.0	51.0	66.9615	65.8281	62.837
-51.1	51.1	67.0928	65.9527	62.9553
-51.2	51.2	67.2241	66.0792	63.0736
-51.3	51.3	67.3554	66.1989	63.1918
-51.4	51.4	67.4867	66.3187	63.3101
-51.5	51.5	67.618	66.45	63.4284
-51.6	51.6	67.7493	66.5762	63.5467
-51.7	51.7	67.8806	66.6934	63.665
-51.8	51.8	68.0119	66.7978	63.7833
-51.9	51.9	68.1432	66.9099	63.9015
-52.0	52.0	68.2745	67.0373	64.0198
-52.1	52.1	68.4058	67.1543	64.1381
-52.2	52.2	68.5371	67.2846	64.2564
-52.3	52.3	68.6684	67.4043	64.3747
-52.4	52.4	68.7997	67.528	64.4929
-52.5	52.5	68.931	67.6485	64.6112
-52.6	52.6	69.0623	67.7675	64.7295
-52.7	52.7	69.1936	67.8873	64.8478
-52.8	52.8	69.3249	68.0109	64.9661
-52.9	52.9	69.4561	68.1216	65.0844
-53.0	53.0	69.5874	68.2427	65.2026
-53.1	53.1	69.7187	68.3702	65.3209
-53.2	53.2	69.85	68.478	65.4392
-53.3	53.3	69.9813	68.5867	65.5575
-53.4	53.4	70.1126	68.6911	65.6758
-53.5	53.5	70.2439	68.7908	65.7941
-53.6	53.6	70.3752	68.8999	65.9123
-53.7	53.7	70.5065	69.0197	66.0306
-53.8	53.8	70.6378	69.1412	66.1489
-53.9	53.9	70.7691	69.2592	66.2672
-54.0	54.0	70.9004	69.379	66.3855
-54.1	54.1	71.0317	69.4949	66.5037
-54.2	54.2	71.163	69.6147	66.622
-54.3	54.3	71.2943	69.7311	66.7403
-54.4	54.4	71.4256	69.8619	66.8586
-54.5	54.5	71.5569	69.9627	66.9769
-54.6	54.6	71.6882	70.063	67.0952
-54.7	54.7	71.8195	70.1751	67.2134
-54.8	54.8	71.9508	70.2949	67.3317
-54.9	54.9	72.0821	70.407	67.4277
-55.0	55.0	72.2134	70.5267	67.5
-55.1	55.1	72.3447	70.6273	67.5722
-55.2	55.2	72.476	70.7279	67.6444
-55.3	55.3	72.6073	70.8476	67.7166
-55.4	55.4	72.7386	70.9674	67.7888
-55.5	55.5	72.8699	71.0795	67.8611
-55.6	55.6	73.0012	71.1993	67.9333
-55.7	55.7	73.1325	71.319	68.0055
-55.8	55.8	73.2638	71.4311	68.0777
-55.9	55.9	73.3951	71.5488	68.15
-56.0	56.0	73.5264	71.6707	68.2222
-56.1	56.1	73.6577	71.7904	68.2944
-56.2	56.2	73.789	71.8925	68.3666
-56.3	56.3	73.9202	72.0108	68.4388
-56.4	56.4	74.0515	72.1382	68.5111
-56.5	56.5	74.1828	72.2503	68.5833
-56.6	56.6	74.3141	72.3643	68.6555
-56.7	56.7	74.4454	72.4783	68.7277
-56.8	56.8	74.5767	72.5928	68.8
-56.9	56.9	74.708	72.714	68.8722
-57.0	57.0	74.8393	72.8144	68.9444
-57.1	57.1	74.9706	72.9267	69.0166
-57.2	57.2	75.1019	73.0311	69.0888
-57.3	57.3	75.2332	73.1437	69.1611
-57.4	57.4	75.3645	73.2629	69.2333
-57.5	57.5	75.4958	73.3748	69.3055
-57.6	57.6	75.6271	73.4751	69.3777
-57.7	57.7	75.7584	73.5909	69.45
-57.8	57.8	75.8897	73.708	69.5222
-57.9	57.9	76.021	73.8252	69.5944
-58.0	58.0	76.1523	73.9396	69.6666
-58.1	58.1	76.2836	74.0398	69.7388
-58.2	58.2	76.4149	74.1596	69.8111
-58.3	58.3	76.5462	74.2717	69.8833
-58.4	58.4	76.6775	74.3953	69.9555
-58.5	58.5	76.8088	74.5113	70.0277
-58.6	58.6	76.9401	74.6063	70.1
-58.7	58.7	77.0714	74.7239	70.1722
-58.8	58.8	77.2027	74.8437	70.2444
-58.9	58.9	77.334	74.9398	70.3166
-59.0	59.0	77.4653	75.064	70.3888
-59.1	59.1	77.5966	75.1778	70.4611
-59.2	59.2	77.7279	75.2728	70.5333
-59.3	59.3	77.8592	75.3811	70.6055
-59.4	59.4	77.9905	75.4816	70.6777
-59.5	59.5	78.1218	75.5783	70.75
-59.6	59.6	78.2531	75.6854	70.8222
-59.7	59.7	78.3843	75.791	70.8944
-59.8	59.8	78.5156	75.9052	70.9666
-59.9	59.9	78.6469	76.0191	71.0388
-60.0	60.0	78.7782	76.1311	71.1111
-60.1	60.1	78.9095	76.2294	71.1833
-60.2	60.2	79.0408	76.3284	71.2555
-60.3	60.3	79.1721	76.4366	71.3277
-60.4	60.4	79.3034	76.5564	71.4
-60.5	60.5	79.4347	76.6751	71.4722
-60.6	60.6	79.566	76.7767	71.5444
-60.7	60.7	79.6973	76.8773	71.6166
-60.8	60.8	79.8286	76.9777	71.6889
-60.9	60.9	79.9599	77.0784	71.7611
-61.0	61.0	80.0912	77.1899	71.8333
-61.1	61.1	80.2225	77.2783	71.9055
-61.2	61.2	80.3538	77.3857	71.9777
-61.3	61.3	80.4851	77.5018	72.05
-61.4	61.4	80.6164	77.6235	72.1222
-61.5	61.5	80.7477	77.7428	72.1944
-61.6	61.6	80.879	77.8558	72.2666
-61.7	61.7	81.0103	77.9551	72.3389
-61.8	61.8	81.1416	78.0641	72.4111
-61.9	61.9	81.2729	78.1696	72.4833
-62.0	62.0	81.4042	78.2729	72.5555
-62.1	62.1	81.5355	78.3658	72.6277
-62.2	62.2	81.6668	78.4818	72.7
-62.3	62.3	81.7981	78.5961	72.7722
-62.4	62.4	81.9294	78.7132	72.8444
-62.5	62.5	82.0607	78.7988	72.9166
-62.6	62.6	82.192	78.8955	72.9889
-62.7	62.7	82.3233	78.9999	73.0611
-62.8	62.8	82.4546	79.0828	73.1333
-62.9	62.9	82.5859	79.1818	73.2055
-63.0	63.0	82.7172	79.2709	73.2777
-63.1	63.1	82.8484	79.3914	73.35
-63.2	63.2	82.9797	79.499	73.4222
-63.3	63.3	83.111	79.5958	73.4944
-63.4	63.4	83.2423	79.6962	73.5666
-63.5	63.5	83.3736	79.8038	73.6389
-63.6	63.6	83.5049	79.9272	73.7111
-63.7	63.7	83.6362	80.0462	73.7833
-63.8	63.8	83.7675	80.1472	73.8555
-63.9	63.9	83.8988	80.2389	73.9277
-64.0	64.0	84.0301	80.3536	74
-64.1	64.1	84.1614	80.4518	74.0722
-64.2	64.2	84.2927	80.5391	74.1444
-64.3	64.3	84.424	80.6322	74.2166
-64.4	64.4	84.5553	80.7325	74.2889
-64.5	64.5	84.6866	80.8264	74.3611
-64.6	64.6	84.8179	80.9371	74.4333
-64.7	64.7	84.9492	81.0281	74.5055
-64.8	64.8	85.0805	81.1312	74.5777
-64.9	64.9	85.2118	81.2288	74.65
-65.0	65.0	85.3431	81.3205	74.7222
-65.1	65.1	85.4744	81.4134	74.7944
-65.2	65.2	85.6057	81.485	74.8666
-65.3	65.3	85.737	81.5805	74.9389
-65.4	65.4	85.8683	81.6771	75.0111
-65.5	65.5	85.9996	81.7773	75.0833
-65.6	65.6	86.1309	81.858	75.1555
-65.7	65.7	86.2622	81.9476	75.2277
-65.8	65.8	86.3935	82.0393	75.3
-65.9	65.9	86.5248	82.141	75.3722
-66.0	66.0	86.6561	82.2304	75.4444
-66.1	66.1	86.7874	82.3268	75.5166
-66.2	66.2	86.9187	82.4283	75.5889
-66.3	66.3	87.05	82.4972	75.6611
-66.4	66.4	87.1813	82.59	75.7333
-66.5	66.5	87.3125	82.7052	75.8055
-66.6	66.6	87.4438	82.8214	75.8777
-66.7	66.7	87.5751	82.9378	75.95
-66.8	66.8	87.7064	83.0337	76.0222
-66.9	66.9	87.8377	83.1258	76.0944
-67.0	67.0	87.969	83.2203	76.1666
-67.1	67.1	88.1003	83.3324	76.2389
-67.2	67.2	88.2316	83.4291	76.3111
-67.3	67.3	88.3629	83.5199	76.3833
-67.4	67.4	88.4942	83.6106	76.4555
-67.5	67.5	88.6255	83.6959	76.5277
-67.6	67.6	88.7568	83.7845	76.6
-67.7	67.7	88.8881	83.8732	76.6722
-67.8	67.8	89.0194	83.9634	76.7444
-67.9	67.9	89.1507	84.0524	76.8166
-68.0	68.0	89.282	84.1346	76.8889
-68.1	68.1	89.4133	84.2208	76.9611
-68.2	68.2	89.5446	84.3054	77.0333
-68.3	68.3	89.6759	84.3822	77.1055
-68.4	68.4	89.8072	84.4632	77.1777
-68.5	68.5	89.9385	84.5457	77.25
-68.6	68.6	90.0698	84.6179	77.3222
-68.7	68.7	90.2011	84.7088	77.3944
-68.8	68.8	90.3324	84.7798	77.4666
-68.9	68.9	90.4637	84.8587	77.5389
-69.0	69.0	90.595	84.9663	77.6111
-69.1	69.1	90.7263	85.0507	77.6833
-69.2	69.2	90.8576	85.1314	77.7555
-69.3	69.3	90.9889	85.2179	77.8277
-69.4	69.4	91.1202	85.3275	77.9
-69.5	69.5	91.2515	85.4039	77.9722
-69.6	69.6	91.3828	85.4938	78.0444
-69.7	69.7	91.5141	85.5769	78.1166
-69.8	69.8	91.6454	85.671	78.1889
-69.9	69.9	91.7766	85.7622	78.2611
-70.0	70.0	91.9079	85.8368	78.3333
-70.1	70.1	92.0392	85.9241	78.4055
-70.2	70.2	92.1705	86.0162	78.4777
-70.3	70.3	92.3018	86.1084	78.55
-70.4	70.4	92.4331	86.2052	78.6222
-70.5	70.5	92.5644	86.2802	78.6944
-70.6	70.6	92.6957	86.3679	78.7666
-70.7	70.7	92.827	86.4618	78.8389
-70.8	70.8	92.9583	86.5683	78.9111
-70.9	70.9	93.0896	86.6614	78.9833
-71.0	71.0	93.2209	86.7569	79.0555
-71.1	71.1	93.3522	86.84	79.1277
-71.2	71.2	93.4835	86.9175	79.2
-71.3	71.3	93.6148	87.0142	79.2722
-71.4	71.4	93.7461	87.1145	79.3444
-71.5	71.5	93.8774	87.1838	79.4166
-71.6	71.6	94.0087	87.2791	79.4889
-71.7	71.7	94.14	87.3435	79.5611
-71.8	71.8	94.2713	87.4328	79.6333
-71.9	71.9	94.4026	87.5215	79.7055
-72.0	72.0	94.5339	87.6	79.7778
-72.1	72.1	94.6652	87.6738	79.85
-72.2	72.2	94.7965	87.7499	79.9222
-72.3	72.3	94.9278	87.826	79.9944
-72.4	72.4	95.0591	87.9021	80.0666
-72.5	72.5	95.1904	87.9782	80.1389
-72.6	72.6	95.3217	88.0552	80.2111
-72.7	72.7	95.453	88.1501	80.2833
-72.8	72.8	95.5843	88.234	80.3555
-72.9	72.9	95.7156	88.3103	80.4278
-73.0	73.0	95.8469	88.3895	80.5
-73.1	73.1	95.9782	88.4939	80.5722
-73.2	73.2	96.1095	88.5869	80.6444
-73.3	73.3	96.2407	88.6797	80.7166
-73.4	73.4	96.372	88.7841	80.7889
-73.5	73.5	96.5033	88.8808	80.8611
-73.6	73.6	96.6346	88.9657	80.9333
-73.7	73.7	96.7659	89.046	81.0055
-73.8	73.8	96.8972	89.0987	81.0778
-73.9	73.9	97.0285	89.1655	81.15
-74.0	74.0	97.1598	89.2687	81.2222
-74.1	74.1	97.2911	89.3536	81.2944
-74.2	74.2	97.4224	89.4387	81.3666
-74.3	74.3	97.5537	89.5239	81.4389
-74.4	74.4	97.685	89.5888	81.5111
-74.5	74.5	97.8163	89.6786	81.5833
-74.6	74.6	97.9476	89.7495	81.6555
-74.7	74.7	98.0789	89.8187	81.7278
-74.8	74.8	98.2102	89.8918	81.8
-74.9	74.9	98.3415	89.9798	81.8722
-75.0	75.0	98.4728	90.0598	81.9444
-75.1	75.1	98.6041	90.1248	82.0166
-75.2	75.2	98.7354	90.197	82.0889
-75.3	75.3	98.8667	90.2702	82.1611
-75.4	75.4	98.998	90.3496	82.2333
-75.5	75.5	99.1293	90.4093	82.3055
-75.6	75.6	99.2606	90.4921	82.3778
-75.7	75.7	99.3919	90.5854	82.45
-75.8	75.8	99.5232	90.6664	82.5222
-75.9	75.9	99.6545	90.7595	82.5944
-76.0	76.0	99.7858	90.8355	82.6666
-76.1	76.1	99.9171	90.9091	82.7389
-76.2	76.2	100	91.0035	82.8111
-76.3	76.3	100	91.0861	82.8833
-76.4	76.4	100	91.1631	82.9555
-76.5	76.5	100	91.2584	83.0278
-76.6	76.6	100	91.3642	83.1
-76.7	76.7	100	91.4293	83.1722
-76.8	76.8	100	91.5154	83.2444
-76.9	76.9	100	91.5856	83.3166
-77.0	77.0	100	91.6802	83.3889
-77.1	77.1	100	91.7633	83.4611
-77.2	77.2	100	91.823	83.5333
-77.3	77.3	100	91.8802	83.6055
-77.4	77.4	100	91.9571	83.6778
-77.5	77.5	100	92.0379	83.75
-77.6	77.6	100	92.1132	83.8222
-77.7	77.7	100	92.1892	83.8944
-77.8	77.8	100	92.2487	83.9666
-77.9	77.9	100	92.3208	84.0389
-78.0	78.0	100	92.3882	84.1111
-78.1	78.1	100	92.4731	84.1833
-78.2	78.2	100	92.5458	84.2555
-78.3	78.3	100	92.6319	84.3278
-78.4	78.4	100	92.7212	84.4
-78.5	78.5	100	92.7885	84.4722
-78.6	78.6	100	92.8645	84.5444
-78.7	78.7	100	92.9345	84.6166
-78.8	78.8	100	93.0191	84.6889
-78.9	78.9	100	93.0939	84.7611
-79.0	79.0	100	93.1676	84.8333
-79.1	79.1	100	93.2279	84.9055
-79.2	79.2	100	93.2941	84.9778
-79.3	79.3	100	93.3371	85.05
-79.4	79.4	100	93.4115	85.1222
-79.5	79.5	100	93.4809	85.1944
-79.6	79.6	100	93.5531	85.2666
-79.7	79.7	100	93.6377	85.3389
-79.8	79.8	100	93.7124	85.4111
-79.9	79.9	100	93.799	85.4833
-80.0	80.0	100	93.8866	85.5555
-80.1	80.1	100	93.9949	85.6278
-80.2	80.2	100	94.0529	85.7
-80.3	80.3	100	94.1206	85.7722
-80.4	80.4	100	94.1945	85.8444
-80.5	80.5	100	94.2529	85.9166
-80.6	80.6	100	94.3178	85.9889
-80.7	80.7	100	94.3627	86.0611
-80.8	80.8	100	94.416	86.1333
-80.9	80.9	100	94.5005	86.2055
-81.0	81.0	100	94.5622	86.2778
-81.1	81.1	100	94.6264	86.35
-81.2	81.2	100	94.6802	86.4222
-81.3	81.3	100	94.7524	86.4944
-81.4	81.4	100	94.8119	86.5666
-81.5	81.5	100	94.8608	86.6389
-81.6	81.6	100	94.9266	86.7111
-81.7	81.7	100	95.0007	86.7833
-81.8	81.8	100	95.0634	86.8555
-81.9	81.9	100	95.1245	86.9278
-82.0	82.0	100	95.1828	87
-82.1	82.1	100	95.2483	87.0722
-82.2	82.2	100	95.3012	87.1444
-82.3	82.3	100	95.3645	87.2166
-82.4	82.4	100	95.4168	87.2889
-82.5	82.5	100	95.4709	87.3611
-82.6	82.6	100	95.531	87.4333
-82.7	82.7	100	95.5928	87.5055
-82.8	82.8	100	95.647	87.5778
-82.9	82.9	100	95.7032	87.65
-83.0	83.0	100	95.7744	87.7222
-83.1	83.1	100	95.8441	87.7944
-83.2	83.2	100	95.8955	87.8667
-83.3	83.3	100	95.9707	87.9389
-83.4	83.4	100	96.0333	88.0111
-83.5	83.5	100	96.0875	88.0833
-83.6	83.6	100	96.1559	88.1555
-83.7	83.7	100	96.2342	88.2278
-83.8	83.8	100	96.3022	88.3
-83.9	83.9	100	96.3505	88.3722
-84.0	84.0	100	96.3859	88.4444
-84.1	84.1	100	96.4359	88.5167
-84.2	84.2	100	96.4986	88.5889
-84.3	84.3	100	96.5723	88.6611
-84.4	84.4	100	96.6262	88.7333
-84.5	84.5	100	96.6819	88.8055
-84.6	84.6	100	96.7287	88.8778
-84.7	84.7	100	96.7771	88.95
-84.8	84.8	100	96.8227	89.0222
-84.9	84.9	100	96.8878	89.0944
-85.0	85.0	100	96.9507	89.1667
-85.1	85.1	100	96.9949	89.2389
-85.2	85.2	100	97.0522	89.3111
-85.3	85.3	100	97.0971	89.3833
-85.4	85.4	100	97.1423	89.4555
-85.5	85.5	100	97.2151	89.5278
-85.6	85.6	100	97.2796	89.6
-85.7	85.7	100	97.3362	89.6722
-85.8	85.8	100	97.3841	89.7444
-85.9	85.9	100	97.4471	89.8167
-86.0	86.0	100	97.4783	89.8889
-86.1	86.1	100	97.5149	89.9611
-86.2	86.2	100	97.5542	90.0333
-86.3	86.3	100	97.6024	90.1055
-86.4	86.4	100	97.6423	90.1778
-86.5	86.5	100	97.6719	90.25
-86.6	86.6	100	97.7169	90.3222
-86.7	86.7	100	97.7637	90.3944
-86.8	86.8	100	97.8331	90.4667
-86.9	86.9	100	97.8585	90.5389
-87.0	87.0	100	97.8872	90.6111
-87.1	87.1	100	97.9335	90.6833
-87.2	87.2	100	97.9839	90.7555
-87.3	87.3	100	98.0517	90.8278
-87.4	87.4	100	98.0706	90.9
-87.5	87.5	100	98.1136	90.9722
-87.6	87.6	100	98.1597	91.0444
-87.7	87.7	100	98.2064	91.1167
-87.8	87.8	100	98.2458	91.1889
-87.9	87.9	100	98.2783	91.2611
-88.0	88.0	100	98.3001	91.3333
-88.1	88.1	100	98.3441	91.4055
-88.2	88.2	100	98.3975	91.4778
-88.3	88.3	100	98.45	91.55
-88.4	88.4	100	98.5027	91.6222
-88.5	88.5	100	98.5477	91.6944
-88.6	88.6	100	98.5944	91.7667
-88.7	88.7	100	98.6108	91.8389
-88.8	88.8	100	98.6449	91.9111
-88.9	88.9	100	98.694	91.9833
-89.0	89.0	100	98.7332	92.0555
-89.1	89.1	100	98.7831	92.1278
-89.2	89.2	100	98.8341	92.2
-89.3	89.3	100	98.8876	92.2722
-89.4	89.4	100	98.9271	92.3444
-89.5	89.5	100	98.9532	92.4167
-89.6	89.6	100	98.9885	92.4889
-89.7	89.7	100	99.0207	92.5611
-89.8	89.8	100	99.0699	92.6333
-89.9	89.9	100	99.1043	92.7055
-90.0	90.0	100	99.1405	92.7778
-90.1	90.1	100	99.1889	92.85
-90.2	90.2	100	99.2352	92.9222
-90.3	90.3	100	99.25	92.9944
-90.4	90.4	100	99.2725	93.0667
-90.5	90.5	100	99.2836	93.1389
-90.6	90.6	100	99.3001	93.2111
-90.7	90.7	100	99.3577	93.2833
-90.8	90.8	100	99.3776	93.3555
-90.9	90.9	100	99.4184	93.4278
-91.0	91.0	100	99.4427	93.5
-91.1	91.1	100	99.4624	93.5722
-91.2	91.2	100	99.5032	93.6444
-91.3	91.3	100	99.5529	93.7167
-91.4	91.4	100	99.5698	93.7889
-91.5	91.5	100	99.5901	93.8611
-91.6	91.6	100	99.6326	93.9333
-91.7	91.7	100	99.6672	94.0055
-91.8	91.8	100	99.685	94.0778
-91.9	91.9	100	99.708	94.15
-92.0	92.0	100	99.7195	94.2222
-92.1	92.1	100	99.7234	94.2944
-92.2	92.2	100	99.7541	94.3667
-92.3	92.3	100	99.7638	94.4389
-92.4	92.4	100	99.7783	94.5111
-92.5	92.5	100	99.8002	94.5833
-92.6	92.6	100	99.8169	94.6555
-92.7	92.7	100	99.8617	94.7278
-92.8	92.8	100	99.8771	94.8
-92.9	92.9	100	99.8886	94.8722
-93.0	93.0	100	99.91	94.9444
-93.1	93.1	100	99.927	95.0167
-93.2	93.2	100	99.9347	95.0889
-93.3	93.3	100	99.9501	95.1611
-93.4	93.4	100	99.9616	95.2333
-93.5	93.5	100	99.9654	95.3055
-93.6	93.6	100	99.9654	95.3778
-93.7	93.7	100	99.9731	95.45
-93.8	93.8	100	99.9731	95.5222
-93.9	93.9	100	99.9731	95.5944
-94.0	94.0	100	99.9731	95.6667
-94.1	94.1	100	99.9769	95.7389
-94.2	94.2	100	99.9769	95.8111
-94.3	94.3	100	99.9808	95.8833
-94.4	94.4	100	99.9885	95.9556
-94.5	94.5	100	99.9923	96.0278
-94.6	94.6	100	99.9923	96.1
-94.7	94.7	100	99.9923	96.1722
-94.8	94.8	100	99.9923	96.2444
-94.9	94.9	100	99.9962	96.3167
-95.0	95.0	100	99.9962	96.3889
-95.1	95.1	100	99.9962	96.4611
-95.2	95.2	100	99.9962	96.5333
-95.3	95.3	100	99.9962	96.6056
-95.4	95.4	100	99.9962	96.6778
-95.5	95.5	100	99.9962	96.75
-95.6	95.6	100	99.9962	96.8222
-95.7	95.7	100	100	96.8944
-95.8	95.8	100	100	96.9667
-95.9	95.9	100	100	97.0389
-96.0	96.0	100	100	97.1111
-96.1	96.1	100	100	97.1833
-96.2	96.2	100	100	97.2556
-96.3	96.3	100	100	97.3278
-96.4	96.4	100	100	97.4
-96.5	96.5	100	100	97.4722
-96.6	96.6	100	100	97.5444
-96.7	96.7	100	100	97.6167
-96.8	96.8	100	100	97.6889
-96.9	96.9	100	100	97.7611
-97.0	97.0	100	100	97.8333
-97.1	97.1	100	100	97.9056
-97.2	97.2	100	100	97.9778
-97.3	97.3	100	100	98.05
-97.4	97.4	100	100	98.1222
-97.5	97.5	100	100	98.1944
-97.6	97.6	100	100	98.2667
-97.7	97.7	100	100	98.3389
-97.8	97.8	100	100	98.4111
-97.9	97.9	100	100	98.4833
-98.0	98.0	100	100	98.5556
-98.1	98.1	100	100	98.6278
-98.2	98.2	100	100	98.7
-98.3	98.3	100	100	98.7722
-98.4	98.4	100	100	98.8444
-98.5	98.5	100	100	98.9167
-98.6	98.6	100	100	98.9889
-98.7	98.7	100	100	99.0611
-98.8	98.8	100	100	99.1333
-98.9	98.9	100	100	99.2056
-99.0	99.0	100	100	99.2778
-99.1	99.1	100	100	99.35
-99.2	99.2	100	100	99.4222
-99.3	99.3	100	100	99.4944
-99.4	99.4	100	100	99.5667
-99.5	99.5	100	100	99.6389
-99.6	99.6	100	100	99.7111
-99.7	99.7	100	100	99.7833
-99.8	99.8	100	100	99.8556
-99.9	99.9	100	100	99.9278
-100.0	100.0	100	100	100
-
-Lift curves	more
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.419519	0.419519	0.188755
-0.2	0.2	0.839038	0.839038	0.37751
-0.3	0.3	1.25856	1.25856	0.566265
-0.4	0.4	1.67808	1.67808	0.75502
-0.5	0.5	2.09759	2.09759	0.943775
-0.6	0.6	2.51711	2.51711	1.13253
-0.7	0.7	2.93663	2.93663	1.32128
-0.8	0.8	3.35615	3.35615	1.51004
-0.9	0.9	3.77567	3.77567	1.69879
-1.0	1.0	4.19519	4.19519	1.88755
-1.1	1.1	4.61471	4.61471	2.0763
-1.2	1.2	5.03423	5.03423	2.26506
-1.3	1.3	5.45374	5.45374	2.45381
-1.4	1.4	5.87326	5.87326	2.64257
-1.5	1.5	6.29278	6.29278	2.83132
-1.6	1.6	6.7123	6.7123	3.02008
-1.7	1.7	7.13182	7.13182	3.20883
-1.8	1.8	7.55134	7.55134	3.39759
-1.9	1.9	7.97086	7.97086	3.58634
-2.0	2.0	8.39038	8.39038	3.7751
-2.1	2.1	8.80989	8.80989	3.96385
-2.2	2.2	9.22941	9.22941	4.15261
-2.3	2.3	9.64893	9.64893	4.34136
-2.4	2.4	10.0685	10.0685	4.53012
-2.5	2.5	10.488	10.488	4.71887
-2.6	2.6	10.9075	10.9075	4.90763
-2.7	2.7	11.327	11.327	5.09638
-2.8	2.8	11.7465	11.7465	5.28514
-2.9	2.9	12.166	12.166	5.47389
-3.0	3.0	12.5856	12.5856	5.66265
-3.1	3.1	13.0051	13.0051	5.8514
-3.2	3.2	13.4246	13.4246	6.04016
-3.3	3.3	13.8441	13.8441	6.22891
-3.4	3.4	14.2636	14.2636	6.41767
-3.5	3.5	14.6832	14.6832	6.60642
-3.6	3.6	15.1027	15.1027	6.79518
-3.7	3.7	15.5222	15.5222	6.98393
-3.8	3.8	15.9417	15.9417	7.17269
-3.9	3.9	16.3612	16.3612	7.36144
-4.0	4.0	16.7808	16.7808	7.5502
-4.1	4.1	17.2003	17.2003	7.73895
-4.2	4.2	17.6198	17.6198	7.92771
-4.3	4.3	18.0393	18.0393	8.11646
-4.4	4.4	18.4588	18.4466	8.30522
-4.5	4.5	18.8783	18.8661	8.49397
-4.6	4.6	19.2979	19.2856	8.68273
-4.7	4.7	19.7174	19.7051	8.87148
-4.8	4.8	20.1369	20.1246	9.06024
-4.9	4.9	20.5564	20.5441	9.24899
-5.0	5.0	20.9759	20.9637	9.43775
-5.1	5.1	21.3955	21.3832	9.6265
-5.2	5.2	21.815	21.7904	9.81525
-5.3	5.3	22.2345	22.2099	10.004
-5.4	5.4	22.654	22.6295	10.1928
-5.5	5.5	23.0735	23.049	10.3815
-5.6	5.6	23.4931	23.4562	10.5703
-5.7	5.7	23.9126	23.8512	10.759
-5.8	5.8	24.3321	24.2584	10.9478
-5.9	5.9	24.7516	24.678	11.1365
-6.0	6.0	25.1711	25.0852	11.3253
-6.1	6.1	25.5906	25.5047	11.514
-6.2	6.2	26.0102	25.9242	11.7028
-6.3	6.3	26.4297	26.3438	11.8916
-6.4	6.4	26.8492	26.7387	12.0803
-6.5	6.5	27.2687	27.1582	12.2691
-6.6	6.6	27.6882	27.5655	12.4578
-6.7	6.7	28.1078	27.9482	12.6466
-6.8	6.8	28.5273	28.3186	12.8353
-6.9	6.9	28.9468	28.7136	13.0241
-7.0	7.0	29.3663	29.0787	13.2128
-7.1	7.1	29.7858	29.4298	13.4016
-7.2	7.2	30.2054	29.8125	13.5904
-7.3	7.3	30.6249	30.1829	13.7791
-7.4	7.4	31.0444	30.4595	13.9679
-7.5	7.5	31.4639	30.8256	14.1566
-7.6	7.6	31.8834	31.1751	14.3454
-7.7	7.7	32.3029	31.5483	14.5341
-7.8	7.8	32.7225	31.9368	14.7229
-7.9	7.9	33.142	32.2581	14.9116
-8.0	8.0	33.5615	32.6654	15.1004
-8.1	8.1	33.981	33.048	15.2891
-8.2	8.2	34.4005	33.3939	15.4779
-8.3	8.3	34.8201	33.7568	15.6667
-8.4	8.4	35.2396	34.0656	15.8554
-8.5	8.5	35.6591	34.3494	16.0442
-8.6	8.6	36.0786	34.7041	16.2329
-8.7	8.7	36.4981	35.0695	16.4217
-8.8	8.8	36.9177	35.3302	16.6104
-8.9	8.9	37.3372	35.6196	16.7992
-9.0	9.0	37.7567	35.9761	16.9879
-9.1	9.1	38.1762	36.318	17.1767
-9.2	9.2	38.5957	36.6069	17.3655
-9.3	9.3	39.0152	36.9629	17.5542
-9.4	9.4	39.4348	37.1984	17.743
-9.5	9.5	39.8543	37.5651	17.9317
-9.6	9.6	40.2738	37.9493	18.1205
-9.7	9.7	40.6933	38.2968	18.3092
-9.8	9.8	41.1128	38.6693	18.498
-9.9	9.9	41.5324	38.9407	18.6867
-10.0	10.0	41.9519	39.2057	18.8755
-10.1	10.1	42.3714	39.5095	19.0642
-10.2	10.2	42.7909	39.8191	19.253
-10.3	10.3	43.2104	40.0814	19.4418
-10.4	10.4	43.63	40.398	19.6305
-10.5	10.5	44.0495	40.7048	19.8193
-10.6	10.6	44.469	41.0408	20.008
-10.7	10.7	44.8885	41.3341	20.1968
-10.8	10.8	45.308	41.5829	20.3855
-10.9	10.9	45.7275	41.8392	20.5743
-11.0	11.0	46.1471	42.0995	20.763
-11.1	11.1	46.5666	42.3937	20.9518
-11.2	11.2	46.9861	42.6562	21.1405
-11.3	11.3	47.4056	42.9668	21.3293
-11.4	11.4	47.8251	43.3339	21.5181
-11.5	11.5	48.2447	43.6043	21.7068
-11.6	11.6	48.6642	43.8799	21.8956
-11.7	11.7	49.0837	44.1311	22.0843
-11.8	11.8	49.5032	44.3828	22.2731
-11.9	11.9	49.9227	44.6319	22.4618
-12.0	12.0	50.3423	44.9107	22.6506
-12.1	12.1	50.7618	45.2605	22.8393
-12.2	12.2	51.1813	45.5764	23.0281
-12.3	12.3	51.6008	45.87	23.2169
-12.4	12.4	52.0203	46.1401	23.4056
-12.5	12.5	52.4398	46.4123	23.5944
-12.6	12.6	52.8594	46.6946	23.7831
-12.7	12.7	53.2789	47.0538	23.9719
-12.8	12.8	53.6984	47.2565	24.1606
-12.9	12.9	54.1179	47.5149	24.3494
-13.0	13.0	54.5374	47.7866	24.5381
-13.1	13.1	54.957	48.1143	24.7269
-13.2	13.2	55.3765	48.4528	24.9156
-13.3	13.3	55.796	48.6505	25.1044
-13.4	13.4	56.2155	48.9206	25.2932
-13.5	13.5	56.635	49.1964	25.4819
-13.6	13.6	57.0546	49.5212	25.6707
-13.7	13.7	57.4741	49.8133	25.8594
-13.8	13.8	57.8936	50.0787	26.0482
-13.9	13.9	58.3131	50.3728	26.2369
-14.0	14.0	58.7326	50.6753	26.4257
-14.1	14.1	59.1521	50.9952	26.6144
-14.2	14.2	59.5717	51.2135	26.8032
-14.3	14.3	59.9912	51.48	26.992
-14.4	14.4	60.4107	51.7186	27.1807
-14.5	14.5	60.8302	51.932	27.3695
-14.6	14.6	61.2497	52.1189	27.5582
-14.7	14.7	61.6693	52.3939	27.747
-14.8	14.8	62.0888	52.67	27.9357
-14.9	14.9	62.5083	52.9063	28.1245
-15.0	15.0	62.9278	53.1846	28.3132
-15.1	15.1	63.3473	53.4033	28.502
-15.2	15.2	63.7669	53.6146	28.6907
-15.3	15.3	64.1864	53.8885	28.8795
-15.4	15.4	64.6059	54.1535	29.0683
-15.5	15.5	65.0254	54.4233	29.257
-15.6	15.6	65.4449	54.6649	29.4458
-15.7	15.7	65.8644	54.9123	29.6345
-15.8	15.8	66.284	55.0962	29.8233
-15.9	15.9	66.7035	55.3155	30.012
-16.0	16.0	67.123	55.5754	30.2008
-16.1	16.1	67.5425	55.8816	30.3895
-16.2	16.2	67.962	56.1469	30.5783
-16.3	16.3	68.3816	56.3492	30.767
-16.4	16.4	68.8011	56.5185	30.9558
-16.5	16.5	69.2206	56.7193	31.1446
-16.6	16.6	69.6401	56.9659	31.3333
-16.7	16.7	70.0596	57.1851	31.5221
-16.8	16.8	70.4792	57.3645	31.7108
-16.9	16.9	70.8987	57.6197	31.8996
-17.0	17.0	71.3182	57.8166	32.0883
-17.1	17.1	71.7377	58.0086	32.2771
-17.2	17.2	72.1572	58.2486	32.4658
-17.3	17.3	72.5767	58.495	32.6546
-17.4	17.4	72.9963	58.7171	32.8434
-17.5	17.5	73.4158	58.9444	33.0321
-17.6	17.6	73.8353	59.1912	33.2209
-17.7	17.7	74.2548	59.4435	33.4096
-17.8	17.8	74.6743	59.6608	33.5984
-17.9	17.9	75.0939	59.9112	33.7871
-18.0	18.0	75.5134	60.1214	33.9759
-18.1	18.1	75.9329	60.3547	34.1646
-18.2	18.2	76.3524	60.5789	34.3534
-18.3	18.3	76.7719	60.7981	34.5421
-18.4	18.4	77.1915	60.9809	34.7309
-18.5	18.5	77.611	61.1902	34.9197
-18.6	18.6	78.0305	61.4535	35.1084
-18.7	18.7	78.45	61.6829	35.2972
-18.8	18.8	78.8695	61.8719	35.4859
-18.9	18.9	79.289	62.1195	35.6747
-19.0	19.0	79.7086	62.3339	35.8634
-19.1	19.1	80.1281	62.5561	36.0522
-19.2	19.2	80.5476	62.7056	36.2409
-19.3	19.3	80.9671	62.9548	36.4297
-19.4	19.4	81.3866	63.231	36.6185
-19.5	19.5	81.8062	63.4432	36.8072
-19.6	19.6	82.2257	63.6761	36.996
-19.7	19.7	82.6452	63.8596	37.1847
-19.8	19.8	83.0647	64.0627	37.3735
-19.9	19.9	83.4842	64.2969	37.5622
-20.0	20.0	83.9038	64.3702	37.751
-20.1	20.1	84.3233	64.5101	37.9397
-20.2	20.2	84.7428	64.6527	38.1285
-20.3	20.3	85.1623	64.8337	38.3172
-20.4	20.4	85.5818	64.9828	38.506
-20.5	20.5	86.0014	65.1717	38.6948
-20.6	20.6	86.4209	65.3695	38.8835
-20.7	20.7	86.8404	65.5513	39.0723
-20.8	20.8	87.2599	65.8332	39.261
-20.9	20.9	87.6794	66.0412	39.4498
-21.0	21.0	88.0989	66.2683	39.6385
-21.1	21.1	88.5185	66.4521	39.8273
-21.2	21.2	88.938	66.6326	40.016
-21.3	21.3	89.3575	66.782	40.2048
-21.4	21.4	89.777	66.9777	40.3935
-21.5	21.5	90.1965	67.1546	40.5823
-21.6	21.6	90.6161	67.3591	40.7711
-21.7	21.7	91.0356	67.4932	40.9598
-21.8	21.8	91.4551	67.6375	41.1486
-21.9	21.9	91.8746	67.8247	41.3373
-22.0	22.0	92.2941	67.9732	41.5261
-22.1	22.1	92.7137	68.1772	41.7148
-22.2	22.2	93.1332	68.3664	41.9036
-22.3	22.3	93.5527	68.5958	42.0923
-22.4	22.4	93.9722	68.7723	42.2811
-22.5	22.5	94.3917	68.9515	42.4699
-22.6	22.6	94.8112	69.1126	42.6586
-22.7	22.7	95.2308	69.2863	42.8474
-22.8	22.8	95.6503	69.5233	43.0361
-22.9	22.9	96.0698	69.752	43.2249
-23.0	23.0	96.4893	69.9061	43.4136
-23.1	23.1	96.9088	70.0233	43.6024
-23.2	23.2	97.3284	70.2185	43.7911
-23.3	23.3	97.7479	70.363	43.9799
-23.4	23.4	98.1674	70.5745	44.1686
-23.5	23.5	98.5869	70.6559	44.3574
-23.6	23.6	99.0064	70.7709	44.5462
-23.7	23.7	99.426	70.9443	44.7349
-23.8	23.8	99.8455	71.1	44.9237
-23.9	23.9	100	71.218	45.1124
-24.0	24.0	100	71.4023	45.3012
-24.1	24.1	100	71.579	45.4899
-24.2	24.2	100	71.701	45.6787
-24.3	24.3	100	71.8615	45.8674
-24.4	24.4	100	71.9829	46.0562
-24.5	24.5	100	72.1381	46.245
-24.6	24.6	100	72.3668	46.4337
-24.7	24.7	100	72.5326	46.6225
-24.8	24.8	100	72.7184	46.8112
-24.9	24.9	100	72.9069	47
-25.0	25.0	100	73.119	47.1887
-25.1	25.1	100	73.2827	47.3775
-25.2	25.2	100	73.4211	47.5662
-25.3	25.3	100	73.6069	47.755
-25.4	25.4	100	73.8055	47.9437
-25.5	25.5	100	73.9984	48.1325
-25.6	25.6	100	74.131	48.3213
-25.7	25.7	100	74.3432	48.51
-25.8	25.8	100	74.4905	48.6988
-25.9	25.9	100	74.638	48.8875
-26.0	26.0	100	74.7862	49.0763
-26.1	26.1	100	74.8762	49.265
-26.2	26.2	100	75.0821	49.4538
-26.3	26.3	100	75.3334	49.6425
-26.4	26.4	100	75.4964	49.8313
-26.5	26.5	100	75.6445	50.02
-26.6	26.6	100	75.755	50.2088
-26.7	26.7	100	75.8409	50.3976
-26.8	26.8	100	75.9642	50.5863
-26.9	26.9	100	76.0864	50.7751
-27.0	27.0	100	76.1724	50.9638
-27.1	27.1	100	76.3387	51.1526
-27.2	27.2	100	76.5146	51.3413
-27.3	27.3	100	76.666	51.5301
-27.4	27.4	100	76.7822	51.7188
-27.5	27.5	100	76.9557	51.9076
-27.6	27.6	100	77.1321	52.0964
-27.7	27.7	100	77.3085	52.2851
-27.8	27.8	100	77.4849	52.4739
-27.9	27.9	100	77.6613	52.6626
-28.0	28.0	100	77.845	52.8514
-28.1	28.1	100	78.0137	53.0401
-28.2	28.2	100	78.1496	53.2289
-28.3	28.3	100	78.2838	53.4176
-28.4	28.4	100	78.4976	53.6064
-28.5	28.5	100	78.6128	53.7951
-28.6	28.6	100	78.8107	53.9839
-28.7	28.7	100	78.9099	54.1727
-28.8	28.8	100	79.0204	54.3614
-28.9	28.9	100	79.1922	54.5502
-29.0	29.0	100	79.3463	54.7389
-29.1	29.1	100	79.4606	54.9277
-29.2	29.2	100	79.5827	55.1164
-29.3	29.3	100	79.6619	55.3052
-29.4	29.4	100	79.7815	55.4939
-29.5	29.5	100	79.9206	55.6827
-29.6	29.6	100	80.1007	55.8715
-29.7	29.7	100	80.2107	56.0602
-29.8	29.8	100	80.3358	56.249
-29.9	29.9	100	80.461	56.4377
-30.0	30.0	100	80.6017	56.6265
-30.1	30.1	100	80.7826	56.8152
-30.2	30.2	100	80.9109	57.004
-30.3	30.3	100	81.0296	57.1927
-30.4	30.4	100	81.1837	57.3815
-30.5	30.5	100	81.316	57.5702
-30.6	30.6	100	81.4915	57.759
-30.7	30.7	100	81.5608	57.9478
-30.8	30.8	100	81.7038	58.1365
-30.9	30.9	100	81.8655	58.3253
-31.0	31.0	100	82.0153	58.514
-31.1	31.1	100	82.091	58.7028
-31.2	31.2	100	82.2583	58.8915
-31.3	31.3	100	82.451	59.0803
-31.4	31.4	100	82.5802	59.269
-31.5	31.5	100	82.769	59.4578
-31.6	31.6	100	82.9249	59.6465
-31.7	31.7	100	83.0857	59.8353
-31.8	31.8	100	83.2597	60.0241
-31.9	31.9	100	83.4091	60.2128
-32.0	32.0	100	83.5531	60.4016
-32.1	32.1	100	83.7098	60.5903
-32.2	32.2	100	83.8449	60.7791
-32.3	32.3	100	83.9764	60.9678
-32.4	32.4	100	84.1126	61.1566
-32.5	32.5	100	84.2488	61.3453
-32.6	32.6	100	84.3959	61.5341
-32.7	32.7	100	84.5255	61.7229
-32.8	32.8	100	84.655	61.9116
-32.9	32.9	100	84.7655	62.1004
-33.0	33.0	100	84.8269	62.2891
-33.1	33.1	100	84.9444	62.4779
-33.2	33.2	100	85.0696	62.6666
-33.3	33.3	100	85.1829	62.8554
-33.4	33.4	100	85.2303	63.0441
-33.5	33.5	100	85.2787	63.2329
-33.6	33.6	100	85.3302	63.4216
-33.7	33.7	100	85.453	63.6104
-33.8	33.8	100	85.6524	63.7992
-33.9	33.9	100	85.7476	63.9879
-34.0	34.0	100	85.8591	64.1767
-34.1	34.1	100	85.9931	64.3654
-34.2	34.2	100	86.0877	64.5542
-34.3	34.3	100	86.2141	64.7429
-34.4	34.4	100	86.3474	64.9317
-34.5	34.5	100	86.5091	65.1204
-34.6	34.6	100	86.6084	65.3092
-34.7	34.7	100	86.7191	65.498
-34.8	34.8	100	86.8335	65.6867
-34.9	34.9	100	87.0243	65.8755
-35.0	35.0	100	87.1471	66.0642
-35.1	35.1	100	87.2735	66.253
-35.2	35.2	100	87.3813	66.4417
-35.3	35.3	100	87.4714	66.6305
-35.4	35.4	100	87.6	66.8192
-35.5	35.5	100	87.6659	67.008
-35.6	35.6	100	87.7854	67.1967
-35.7	35.7	100	87.8843	67.3855
-35.8	35.8	100	88.0064	67.5743
-35.9	35.9	100	88.1471	67.763
-36.0	36.0	100	88.2529	67.9518
-36.1	36.1	100	88.306	68.1405
-36.2	36.2	100	88.4322	68.3293
-36.3	36.3	100	88.529	68.518
-36.4	36.4	100	88.5684	68.7068
-36.5	36.5	100	88.5936	68.8955
-36.6	36.6	100	88.6693	69.0843
-36.7	36.7	100	88.7681	69.273
-36.8	36.8	100	88.8784	69.4618
-36.9	36.9	100	88.9542	69.6506
-37.0	37.0	100	88.9885	69.8393
-37.1	37.1	100	89.1235	70.0281
-37.2	37.2	100	89.2267	70.2168
-37.3	37.3	100	89.3813	70.4056
-37.4	37.4	100	89.4672	70.5943
-37.5	37.5	100	89.5777	70.7831
-37.6	37.6	100	89.7236	70.9718
-37.7	37.7	100	89.7692	71.1606
-37.8	37.8	100	89.8235	71.3494
-37.9	37.9	100	89.8723	71.5381
-38.0	38.0	100	89.9951	71.7269
-38.1	38.1	100	90.0845	71.9156
-38.2	38.2	100	90.167	72.1044
-38.3	38.3	100	90.2382	72.2931
-38.4	38.4	100	90.3404	72.4819
-38.5	38.5	100	90.3986	72.6706
-38.6	38.6	100	90.437	72.8594
-38.7	38.7	100	90.4679	73.0481
-38.8	38.8	100	90.5163	73.2369
-38.9	38.9	100	90.5928	73.4257
-39.0	39.0	100	90.7299	73.6144
-39.1	39.1	100	90.793	73.8032
-39.2	39.2	100	90.8907	73.9919
-39.3	39.3	100	90.9894	74.1807
-39.4	39.4	100	91.0877	74.3694
-39.5	39.5	100	91.1825	74.5582
-39.6	39.6	100	91.2227	74.7469
-39.7	39.7	100	91.2595	74.9357
-39.8	39.8	100	91.3332	75.1245
-39.9	39.9	100	91.4366	75.3132
-40.0	40.0	100	91.5419	75.502
-40.1	40.1	100	91.6036	75.6907
-40.2	40.2	100	91.6591	75.8795
-40.3	40.3	100	91.7137	76.0682
-40.4	40.4	100	91.7959	76.257
-40.5	40.5	100	91.8733	76.4457
-40.6	40.6	100	91.9838	76.6345
-40.7	40.7	100	92.082	76.8232
-40.8	40.8	100	92.1557	77.012
-40.9	40.9	100	92.2715	77.2008
-41.0	41.0	100	92.3275	77.3895
-41.1	41.1	100	92.3501	77.5783
-41.2	41.2	100	92.4626	77.767
-41.3	41.3	100	92.4994	77.9558
-41.4	41.4	100	92.543	78.1445
-41.5	41.5	100	92.659	78.3333
-41.6	41.6	100	92.7081	78.522
-41.7	41.7	100	92.7326	78.7108
-41.8	41.8	100	92.794	78.8995
-41.9	41.9	100	92.8307	79.0883
-42.0	42.0	100	92.93	79.2771
-42.1	42.1	100	92.9841	79.4658
-42.2	42.2	100	93.029	79.6546
-42.3	42.3	100	93.0744	79.8433
-42.4	42.4	100	93.1241	80.0321
-42.5	42.5	100	93.2231	80.2208
-42.6	42.6	100	93.285	80.4096
-42.7	42.7	100	93.3237	80.5983
-42.8	42.8	100	93.3833	80.7871
-42.9	42.9	100	93.4692	80.9759
-43.0	43.0	100	93.5298	81.1646
-43.1	43.1	100	93.6288	81.3534
-43.2	43.2	100	93.6609	81.5421
-43.3	43.3	100	93.7147	81.7309
-43.4	43.4	100	93.77	81.9196
-43.5	43.5	100	93.8252	82.1084
-43.6	43.6	100	93.8864	82.2971
-43.7	43.7	100	93.8988	82.4859
-43.8	43.8	100	93.9406	82.6746
-43.9	43.9	100	94.0339	82.8634
-44.0	44.0	100	94.0707	83.0522
-44.1	44.1	100	94.1008	83.2409
-44.2	44.2	100	94.1444	83.4297
-44.3	44.3	100	94.2057	83.6184
-44.4	44.4	100	94.2426	83.8072
-44.5	44.5	100	94.2794	83.9959
-44.6	44.6	100	94.3408	84.1847
-44.7	44.7	100	94.3776	84.3734
-44.8	44.8	100	94.4144	84.5622
-44.9	44.9	100	94.5126	84.751
-45.0	45.0	100	94.6109	84.9397
-45.1	45.1	100	94.6477	85.1285
-45.2	45.2	100	94.7091	85.2412
-45.3	45.3	100	94.7459	85.2828
-45.4	45.4	100	94.8073	85.3244
-45.5	45.5	100	94.9062	85.366
-45.6	45.6	100	95.0037	85.4076
-45.7	45.7	100	95.0053	85.4491
-45.8	45.8	100	95.0528	85.4907
-45.9	45.9	100	95.0896	85.5323
-46.0	46.0	100	95.1387	85.5739
-46.1	46.1	100	95.1755	85.6155
-46.2	46.2	100	95.2181	85.6571
-46.3	46.3	100	95.2492	85.6986
-46.4	46.4	100	95.286	85.7402
-46.5	46.5	100	95.357	85.7818
-46.6	46.6	100	95.4579	85.8234
-46.7	46.7	100	95.5438	85.865
-46.8	46.8	100	95.616	85.9066
-46.9	46.9	100	95.6911	85.9481
-47.0	47.0	100	95.7034	85.9897
-47.1	47.1	100	95.736	86.0313
-47.2	47.2	100	95.8016	86.0729
-47.3	47.3	100	95.8262	86.1145
-47.4	47.4	100	95.863	86.1561
-47.5	47.5	100	95.9024	86.1977
-47.6	47.6	100	95.9367	86.2392
-47.7	47.7	100	95.9612	86.2808
-47.8	47.8	100	95.998	86.3224
-47.9	47.9	100	96.0013	86.364
-48.0	48.0	100	96.0471	86.4056
-48.1	48.1	100	96.0594	86.4472
-48.2	48.2	100	96.1208	86.4887
-48.3	48.3	100	96.2067	86.5303
-48.4	48.4	100	96.2518	86.5719
-48.5	48.5	100	96.2681	86.6135
-48.6	48.6	100	96.2681	86.6551
-48.7	48.7	100	96.3049	86.6967
-48.8	48.8	100	96.3418	86.7382
-48.9	48.9	100	96.3572	86.7798
-49.0	49.0	100	96.3786	86.8214
-49.1	49.1	100	96.3786	86.863
-49.2	49.2	100	96.3909	86.9046
-49.3	49.3	100	96.4154	86.9462
-49.4	49.4	100	96.4645	86.9878
-49.5	49.5	100	96.5136	87.0293
-49.6	49.6	100	96.5521	87.0709
-49.7	49.7	100	96.5627	87.1125
-49.8	49.8	100	96.575	87.1541
-49.9	49.9	100	96.5996	87.1957
-50.0	50.0	100	96.6333	87.2373
-50.1	50.1	100	96.6855	87.2788
-50.2	50.2	100	96.6978	87.3204
-50.3	50.3	100	96.6978	87.362
-50.4	50.4	100	96.7223	87.4036
-50.5	50.5	100	96.7473	87.4452
-50.6	50.6	100	96.7714	87.4868
-50.7	50.7	100	96.7721	87.5283
-50.8	50.8	100	96.8082	87.5699
-50.9	50.9	100	96.8205	87.6115
-51.0	51.0	100	96.8819	87.6531
-51.1	51.1	100	96.9065	87.6947
-51.2	51.2	100	96.931	87.7363
-51.3	51.3	100	96.9556	87.7779
-51.4	51.4	100	96.9924	87.8194
-51.5	51.5	100	97.0169	87.861
-51.6	51.6	100	97.0292	87.9026
-51.7	51.7	100	97.1029	87.9442
-51.8	51.8	100	97.1274	87.9858
-51.9	51.9	100	97.1669	88.0274
-52.0	52.0	100	97.2134	88.0689
-52.1	52.1	100	97.229	88.1105
-52.2	52.2	100	97.2625	88.1521
-52.3	52.3	100	97.2747	88.1937
-52.4	52.4	100	97.2993	88.2353
-52.5	52.5	100	97.3238	88.2769
-52.6	52.6	100	97.3361	88.3184
-52.7	52.7	100	97.3852	88.36
-52.8	52.8	100	97.4098	88.4016
-52.9	52.9	100	97.4589	88.4432
-53.0	53.0	100	97.4712	88.4848
-53.1	53.1	100	97.5325	88.5264
-53.2	53.2	100	97.5571	88.568
-53.3	53.3	100	97.6062	88.6095
-53.4	53.4	100	97.6307	88.6511
-53.5	53.5	100	97.643	88.6927
-53.6	53.6	100	97.643	88.7343
-53.7	53.7	100	97.6553	88.7759
-53.8	53.8	100	97.6676	88.8175
-53.9	53.9	100	97.6797	88.859
-54.0	54.0	100	97.6921	88.9006
-54.1	54.1	100	97.7134	88.9422
-54.2	54.2	100	97.7289	88.9838
-54.3	54.3	100	97.7412	89.0254
-54.4	54.4	100	97.7412	89.067
-54.5	54.5	100	97.8101	89.1086
-54.6	54.6	100	97.8763	89.1501
-54.7	54.7	100	97.8885	89.1917
-54.8	54.8	100	97.8929	89.2333
-54.9	54.9	100	97.9376	89.2749
-55.0	55.0	100	97.9622	89.3165
-55.1	55.1	100	97.9745	89.3581
-55.2	55.2	100	98.0113	89.3996
-55.3	55.3	100	98.0358	89.4412
-55.4	55.4	100	98.0604	89.4828
-55.5	55.5	100	98.0727	89.5244
-55.6	55.6	100	98.0849	89.566
-55.7	55.7	100	98.0849	89.6076
-55.8	55.8	100	98.1095	89.6491
-55.9	55.9	100	98.1095	89.6907
-56.0	56.0	100	98.1272	89.7323
-56.1	56.1	100	98.1463	89.7739
-56.2	56.2	100	98.1586	89.8155
-56.3	56.3	100	98.1954	89.8571
-56.4	56.4	100	98.2077	89.8987
-56.5	56.5	100	98.22	89.9402
-56.6	56.6	100	98.2323	89.9818
-56.7	56.7	100	98.2814	90.0234
-56.8	56.8	100	98.3059	90.065
-56.9	56.9	100	98.3305	90.1066
-57.0	57.0	100	98.3673	90.1482
-57.1	57.1	100	98.3673	90.1897
-57.2	57.2	100	98.379	90.2313
-57.3	57.3	100	98.3796	90.2729
-57.4	57.4	100	98.4164	90.3145
-57.5	57.5	100	98.4655	90.3561
-57.6	57.6	100	98.5146	90.3977
-57.7	57.7	100	98.5392	90.4392
-57.8	57.8	100	98.5514	90.4808
-57.9	57.9	100	98.5637	90.5224
-58.0	58.0	100	98.576	90.564
-58.1	58.1	100	98.6005	90.6056
-58.2	58.2	100	98.635	90.6472
-58.3	58.3	100	98.6496	90.6888
-58.4	58.4	100	98.6619	90.7303
-58.5	58.5	100	98.6922	90.7719
-58.6	58.6	100	98.7233	90.8135
-58.7	58.7	100	98.7356	90.8551
-58.8	58.8	100	98.7514	90.8967
-58.9	58.9	100	98.7601	90.9383
-59.0	59.0	100	98.797	90.9798
-59.1	59.1	100	98.8461	91.0214
-59.2	59.2	100	98.8461	91.063
-59.3	59.3	100	98.8804	91.1046
-59.4	59.4	100	98.8829	91.1462
-59.5	59.5	100	98.8829	91.1878
-59.6	59.6	100	98.8829	91.2293
-59.7	59.7	100	98.8998	91.2709
-59.8	59.8	100	98.9197	91.3125
-59.9	59.9	100	98.932	91.3541
-60.0	60.0	100	98.9443	91.3957
-60.1	60.1	100	98.9443	91.4373
-60.2	60.2	100	98.9443	91.4789
-60.3	60.3	100	98.9811	91.5204
-60.4	60.4	100	98.9934	91.562
-60.5	60.5	100	99.0056	91.6036
-60.6	60.6	100	99.0179	91.6452
-60.7	60.7	100	99.0179	91.6868
-60.8	60.8	100	99.0302	91.7284
-60.9	60.9	100	99.0425	91.7699
-61.0	61.0	100	99.0548	91.8115
-61.1	61.1	100	99.0548	91.8531
-61.2	61.2	100	99.0548	91.8947
-61.3	61.3	100	99.067	91.9363
-61.4	61.4	100	99.067	91.9779
-61.5	61.5	100	99.0793	92.0194
-61.6	61.6	100	99.0916	92.061
-61.7	61.7	100	99.1284	92.1026
-61.8	61.8	100	99.1407	92.1442
-61.9	61.9	100	99.1407	92.1858
-62.0	62.0	100	99.1652	92.2274
-62.1	62.1	100	99.1652	92.269
-62.2	62.2	100	99.1652	92.3105
-62.3	62.3	100	99.1652	92.3521
-62.4	62.4	100	99.1652	92.3937
-62.5	62.5	100	99.1652	92.4353
-62.6	62.6	100	99.1652	92.4769
-62.7	62.7	100	99.1898	92.5185
-62.8	62.8	100	99.1898	92.56
-62.9	62.9	100	99.1898	92.6016
-63.0	63.0	100	99.1898	92.6432
-63.1	63.1	100	99.2207	92.6848
-63.2	63.2	100	99.2389	92.7264
-63.3	63.3	100	99.2512	92.768
-63.4	63.4	100	99.2736	92.8095
-63.5	63.5	100	99.288	92.8511
-63.6	63.6	100	99.2989	92.8927
-63.7	63.7	100	99.3003	92.9343
-63.8	63.8	100	99.3003	92.9759
-63.9	63.9	100	99.3003	93.0175
-64.0	64.0	100	99.3003	93.0591
-64.1	64.1	100	99.3003	93.1006
-64.2	64.2	100	99.3003	93.1422
-64.3	64.3	100	99.3003	93.1838
-64.4	64.4	100	99.3371	93.2254
-64.5	64.5	100	99.3494	93.267
-64.6	64.6	100	99.3494	93.3086
-64.7	64.7	100	99.3494	93.3501
-64.8	64.8	100	99.3616	93.3917
-64.9	64.9	100	99.3616	93.4333
-65.0	65.0	100	99.3862	93.4749
-65.1	65.1	100	99.3862	93.5165
-65.2	65.2	100	99.3985	93.5581
-65.3	65.3	100	99.3985	93.5997
-65.4	65.4	100	99.3985	93.6412
-65.5	65.5	100	99.3985	93.6828
-65.6	65.6	100	99.3985	93.7244
-65.7	65.7	100	99.4108	93.766
-65.8	65.8	100	99.4108	93.8076
-65.9	65.9	100	99.4108	93.8492
-66.0	66.0	100	99.4108	93.8907
-66.1	66.1	100	99.4108	93.9323
-66.2	66.2	100	99.4108	93.9739
-66.3	66.3	100	99.4163	94.0155
-66.4	66.4	100	99.423	94.0571
-66.5	66.5	100	99.423	94.0987
-66.6	66.6	100	99.4353	94.1402
-66.7	66.7	100	99.4476	94.1818
-66.8	66.8	100	99.4476	94.2234
-66.9	66.9	100	99.4599	94.265
-67.0	67.0	100	99.4599	94.3066
-67.1	67.1	100	99.4721	94.3482
-67.2	67.2	100	99.4721	94.3898
-67.3	67.3	100	99.4844	94.4313
-67.4	67.4	100	99.4844	94.4729
-67.5	67.5	100	99.4967	94.5145
-67.6	67.6	100	99.4967	94.5561
-67.7	67.7	100	99.4967	94.5977
-67.8	67.8	100	99.4967	94.6393
-67.9	67.9	100	99.509	94.6808
-68.0	68.0	100	99.509	94.7224
-68.1	68.1	100	99.509	94.764
-68.2	68.2	100	99.5212	94.8056
-68.3	68.3	100	99.5212	94.8472
-68.4	68.4	100	99.5212	94.8888
-68.5	68.5	100	99.5335	94.9303
-68.6	68.6	100	99.5335	94.9719
-68.7	68.7	100	99.5335	95.0135
-68.8	68.8	100	99.5335	95.0551
-68.9	68.9	100	99.5335	95.0967
-69.0	69.0	100	99.5335	95.1383
-69.1	69.1	100	99.5458	95.1799
-69.2	69.2	100	99.5458	95.2214
-69.3	69.3	100	99.5458	95.263
-69.4	69.4	100	99.5458	95.3046
-69.5	69.5	100	99.5458	95.3462
-69.6	69.6	100	99.5458	95.3878
-69.7	69.7	100	99.5458	95.4294
-69.8	69.8	100	99.5581	95.4709
-69.9	69.9	100	99.5703	95.5125
-70.0	70.0	100	99.5826	95.5541
-70.1	70.1	100	99.5826	95.5957
-70.2	70.2	100	99.5826	95.6373
-70.3	70.3	100	99.5949	95.6789
-70.4	70.4	100	99.6072	95.7204
-70.5	70.5	100	99.6072	95.762
-70.6	70.6	100	99.6072	95.8036
-70.7	70.7	100	99.6072	95.8452
-70.8	70.8	100	99.6072	95.8868
-70.9	70.9	100	99.6194	95.9223
-71.0	71.0	100	99.6194	95.9483
-71.1	71.1	100	99.6194	95.9744
-71.2	71.2	100	99.6194	96.0004
-71.3	71.3	100	99.6194	96.0264
-71.4	71.4	100	99.6194	96.0525
-71.5	71.5	100	99.6194	96.0785
-71.6	71.6	100	99.6317	96.1046
-71.7	71.7	100	99.6317	96.1306
-71.8	71.8	100	99.6317	96.1566
-71.9	71.9	100	99.644	96.1827
-72.0	72.0	100	99.644	96.2087
-72.1	72.1	100	99.644	96.2348
-72.2	72.2	100	99.6685	96.2608
-72.3	72.3	100	99.6685	96.2868
-72.4	72.4	100	99.6685	96.3129
-72.5	72.5	100	99.6685	96.3389
-72.6	72.6	100	99.6685	96.365
-72.7	72.7	100	99.6808	96.391
-72.8	72.8	100	99.6931	96.417
-72.9	72.9	100	99.6931	96.4431
-73.0	73.0	100	99.6931	96.4691
-73.1	73.1	100	99.6931	96.4952
-73.2	73.2	100	99.6931	96.5212
-73.3	73.3	100	99.6931	96.5472
-73.4	73.4	100	99.7054	96.5733
-73.5	73.5	100	99.7177	96.5993
-73.6	73.6	100	99.7299	96.6254
-73.7	73.7	100	99.7299	96.6514
-73.8	73.8	100	99.7299	96.6774
-73.9	73.9	100	99.7299	96.7035
-74.0	74.0	100	99.7299	96.7295
-74.1	74.1	100	99.7299	96.7556
-74.2	74.2	100	99.7299	96.7816
-74.3	74.3	100	99.7337	96.8076
-74.4	74.4	100	99.7545	96.8337
-74.5	74.5	100	99.7545	96.8597
-74.6	74.6	100	99.7545	96.8858
-74.7	74.7	100	99.7668	96.9118
-74.8	74.8	100	99.7668	96.9378
-74.9	74.9	100	99.779	96.9639
-75.0	75.0	100	99.779	96.9899
-75.1	75.1	100	99.779	97.016
-75.2	75.2	100	99.779	97.042
-75.3	75.3	100	99.779	97.068
-75.4	75.4	100	99.779	97.0941
-75.5	75.5	100	99.7913	97.1201
-75.6	75.6	100	99.7913	97.1462
-75.7	75.7	100	99.7913	97.1722
-75.8	75.8	100	99.7913	97.1982
-75.9	75.9	100	99.7913	97.2243
-76.0	76.0	100	99.8036	97.2503
-76.1	76.1	100	99.8036	97.2764
-76.2	76.2	100	99.8036	97.3024
-76.3	76.3	100	99.8036	97.3284
-76.4	76.4	100	99.8159	97.3545
-76.5	76.5	100	99.8159	97.3805
-76.6	76.6	100	99.8159	97.4066
-76.7	76.7	100	99.8159	97.4326
-76.8	76.8	100	99.8159	97.4586
-76.9	76.9	100	99.8159	97.4847
-77.0	77.0	100	99.8281	97.5107
-77.1	77.1	100	99.8281	97.5368
-77.2	77.2	100	99.8281	97.5628
-77.3	77.3	100	99.8404	97.5888
-77.4	77.4	100	99.8404	97.6149
-77.5	77.5	100	99.8404	97.6409
-77.6	77.6	100	99.8404	97.667
-77.7	77.7	100	99.8527	97.693
-77.8	77.8	100	99.8527	97.719
-77.9	77.9	100	99.8527	97.7451
-78.0	78.0	100	99.865	97.7711
-78.1	78.1	100	99.865	97.7972
-78.2	78.2	100	99.865	97.8232
-78.3	78.3	100	99.865	97.8492
-78.4	78.4	100	99.865	97.8753
-78.5	78.5	100	99.865	97.9013
-78.6	78.6	100	99.865	97.9274
-78.7	78.7	100	99.865	97.9534
-78.8	78.8	100	99.865	97.9794
-78.9	78.9	100	99.865	98.0055
-79.0	79.0	100	99.865	98.0315
-79.1	79.1	100	99.865	98.0576
-79.2	79.2	100	99.865	98.0836
-79.3	79.3	100	99.8895	98.1096
-79.4	79.4	100	99.8895	98.1357
-79.5	79.5	100	99.8895	98.1617
-79.6	79.6	100	99.8895	98.1878
-79.7	79.7	100	99.8895	98.2138
-79.8	79.8	100	99.9018	98.2398
-79.9	79.9	100	99.9018	98.2659
-80.0	80.0	100	99.9018	98.2919
-80.1	80.1	100	99.9018	98.318
-80.2	80.2	100	99.9018	98.344
-80.3	80.3	100	99.9018	98.37
-80.4	80.4	100	99.9018	98.3961
-80.5	80.5	100	99.9018	98.4221
-80.6	80.6	100	99.9018	98.4482
-80.7	80.7	100	99.9018	98.4742
-80.8	80.8	100	99.9018	98.5002
-80.9	80.9	100	99.9018	98.5263
-81.0	81.0	100	99.9141	98.5523
-81.1	81.1	100	99.9141	98.5784
-81.2	81.2	100	99.9141	98.6044
-81.3	81.3	100	99.9141	98.6304
-81.4	81.4	100	99.9141	98.6565
-81.5	81.5	100	99.9141	98.6825
-81.6	81.6	100	99.9141	98.6925
-81.7	81.7	100	99.9141	98.6996
-81.8	81.8	100	99.9141	98.7067
-81.9	81.9	100	99.9141	98.7138
-82.0	82.0	100	99.9141	98.7209
-82.1	82.1	100	99.9141	98.728
-82.2	82.2	100	99.9141	98.7351
-82.3	82.3	100	99.9141	98.7422
-82.4	82.4	100	99.9141	98.7493
-82.5	82.5	100	99.9213	98.7565
-82.6	82.6	100	99.9263	98.7636
-82.7	82.7	100	99.9263	98.7707
-82.8	82.8	100	99.9263	98.7778
-82.9	82.9	100	99.9263	98.7849
-83.0	83.0	100	99.9263	98.792
-83.1	83.1	100	99.9263	98.7991
-83.2	83.2	100	99.9263	98.8062
-83.3	83.3	100	99.9263	98.8133
-83.4	83.4	100	99.9263	98.8204
-83.5	83.5	100	99.9386	98.8275
-83.6	83.6	100	99.9386	98.8346
-83.7	83.7	100	99.9386	98.8417
-83.8	83.8	100	99.9386	98.8488
-83.9	83.9	100	99.9386	98.8559
-84.0	84.0	100	99.9509	98.863
-84.1	84.1	100	99.9509	98.8701
-84.2	84.2	100	99.9509	98.8773
-84.3	84.3	100	99.9509	98.8844
-84.4	84.4	100	99.9509	98.8915
-84.5	84.5	100	99.9509	98.8986
-84.6	84.6	100	99.9509	98.9057
-84.7	84.7	100	99.9509	98.9128
-84.8	84.8	100	99.9509	98.9199
-84.9	84.9	100	99.9509	98.927
-85.0	85.0	100	99.9509	98.9341
-85.1	85.1	100	99.9509	98.9412
-85.2	85.2	100	99.9632	98.9483
-85.3	85.3	100	99.9632	98.9554
-85.4	85.4	100	99.9632	98.9625
-85.5	85.5	100	99.9632	98.9696
-85.6	85.6	100	99.9632	98.9767
-85.7	85.7	100	99.9632	98.9838
-85.8	85.8	100	99.9632	98.991
-85.9	85.9	100	99.9632	98.9981
-86.0	86.0	100	99.9632	99.0052
-86.1	86.1	100	99.9632	99.0123
-86.2	86.2	100	99.9632	99.0194
-86.3	86.3	100	99.9632	99.0265
-86.4	86.4	100	99.9632	99.0336
-86.5	86.5	100	99.9632	99.0407
-86.6	86.6	100	99.9632	99.0478
-86.7	86.7	100	99.9632	99.0549
-86.8	86.8	100	99.9632	99.062
-86.9	86.9	100	99.9632	99.0691
-87.0	87.0	100	99.9632	99.0762
-87.1	87.1	100	99.9632	99.0833
-87.2	87.2	100	99.9632	99.0904
-87.3	87.3	100	99.9632	99.0975
-87.4	87.4	100	99.9632	99.1046
-87.5	87.5	100	99.9632	99.1118
-87.6	87.6	100	99.9632	99.1189
-87.7	87.7	100	99.9632	99.126
-87.8	87.8	100	99.9632	99.1331
-87.9	87.9	100	99.9632	99.1402
-88.0	88.0	100	99.9632	99.1473
-88.1	88.1	100	99.9632	99.1544
-88.2	88.2	100	99.9632	99.1615
-88.3	88.3	100	99.9632	99.1686
-88.4	88.4	100	99.9632	99.1757
-88.5	88.5	100	99.9632	99.1828
-88.6	88.6	100	99.9632	99.1899
-88.7	88.7	100	99.9632	99.197
-88.8	88.8	100	99.9632	99.2041
-88.9	88.9	100	99.9632	99.2112
-89.0	89.0	100	99.9632	99.2183
-89.1	89.1	100	99.9754	99.2254
-89.2	89.2	100	99.9754	99.2326
-89.3	89.3	100	99.9754	99.2397
-89.4	89.4	100	99.9754	99.2468
-89.5	89.5	100	99.9754	99.2539
-89.6	89.6	100	99.9754	99.261
-89.7	89.7	100	99.9754	99.2681
-89.8	89.8	100	99.9754	99.2752
-89.9	89.9	100	99.9754	99.2823
-90.0	90.0	100	99.9754	99.2894
-90.1	90.1	100	99.9754	99.2965
-90.2	90.2	100	99.9754	99.3036
-90.3	90.3	100	99.9754	99.3107
-90.4	90.4	100	99.9754	99.3178
-90.5	90.5	100	99.9754	99.3249
-90.6	90.6	100	99.9877	99.332
-90.7	90.7	100	99.9877	99.3391
-90.8	90.8	100	99.9877	99.3462
-90.9	90.9	100	99.9877	99.3534
-91.0	91.0	100	99.9877	99.3605
-91.1	91.1	100	99.9877	99.3676
-91.2	91.2	100	99.9877	99.3747
-91.3	91.3	100	99.9877	99.3818
-91.4	91.4	100	99.9877	99.3889
-91.5	91.5	100	99.9877	99.396
-91.6	91.6	100	99.9877	99.4031
-91.7	91.7	100	99.9877	99.4102
-91.8	91.8	100	99.9877	99.4173
-91.9	91.9	100	99.9877	99.4244
-92.0	92.0	100	99.9877	99.4315
-92.1	92.1	100	99.9877	99.4386
-92.2	92.2	100	99.9877	99.4457
-92.3	92.3	100	99.9877	99.4528
-92.4	92.4	100	99.9877	99.4599
-92.5	92.5	100	99.9877	99.4671
-92.6	92.6	100	99.9877	99.4742
-92.7	92.7	100	99.9877	99.4813
-92.8	92.8	100	99.9877	99.4884
-92.9	92.9	100	99.9877	99.4955
-93.0	93.0	100	99.9877	99.5026
-93.1	93.1	100	99.9877	99.5097
-93.2	93.2	100	99.9877	99.5168
-93.3	93.3	100	99.9877	99.5239
-93.4	93.4	100	99.9877	99.531
-93.5	93.5	100	99.9877	99.5381
-93.6	93.6	100	99.9877	99.5452
-93.7	93.7	100	99.9877	99.5523
-93.8	93.8	100	99.9877	99.5594
-93.9	93.9	100	99.9877	99.5665
-94.0	94.0	100	99.9877	99.5736
-94.1	94.1	100	99.9877	99.5807
-94.2	94.2	100	99.9877	99.5879
-94.3	94.3	100	99.9877	99.595
-94.4	94.4	100	99.9877	99.6021
-94.5	94.5	100	99.9877	99.6092
-94.6	94.6	100	99.9877	99.6163
-94.7	94.7	100	99.9877	99.6234
-94.8	94.8	100	99.9877	99.6305
-94.9	94.9	100	99.9877	99.6376
-95.0	95.0	100	99.9877	99.6447
-95.1	95.1	100	99.9877	99.6518
-95.2	95.2	100	99.9877	99.6589
-95.3	95.3	100	99.9877	99.666
-95.4	95.4	100	99.9877	99.6731
-95.5	95.5	100	99.9877	99.6802
-95.6	95.6	100	100	99.6873
-95.7	95.7	100	100	99.6944
-95.8	95.8	100	100	99.7015
-95.9	95.9	100	100	99.7087
-96.0	96.0	100	100	99.7158
-96.1	96.1	100	100	99.7229
-96.2	96.2	100	100	99.73
-96.3	96.3	100	100	99.7371
-96.4	96.4	100	100	99.7442
-96.5	96.5	100	100	99.7513
-96.6	96.6	100	100	99.7584
-96.7	96.7	100	100	99.7655
-96.8	96.8	100	100	99.7726
-96.9	96.9	100	100	99.7797
-97.0	97.0	100	100	99.7868
-97.1	97.1	100	100	99.7939
-97.2	97.2	100	100	99.801
-97.3	97.3	100	100	99.8081
-97.4	97.4	100	100	99.8152
-97.5	97.5	100	100	99.8224
-97.6	97.6	100	100	99.8295
-97.7	97.7	100	100	99.8366
-97.8	97.8	100	100	99.8437
-97.9	97.9	100	100	99.8508
-98.0	98.0	100	100	99.8579
-98.1	98.1	100	100	99.865
-98.2	98.2	100	100	99.8721
-98.3	98.3	100	100	99.8792
-98.4	98.4	100	100	99.8863
-98.5	98.5	100	100	99.8934
-98.6	98.6	100	100	99.9005
-98.7	98.7	100	100	99.9076
-98.8	98.8	100	100	99.9147
-98.9	98.9	100	100	99.9218
-99.0	99.0	100	100	99.9289
-99.1	99.1	100	100	99.936
-99.2	99.2	100	100	99.9432
-99.3	99.3	100	100	99.9503
-99.4	99.4	100	100	99.9574
-99.5	99.5	100	100	99.9645
-99.6	99.6	100	100	99.9716
-99.7	99.7	100	100	99.9787
-99.8	99.8	100	100	99.9858
-99.9	99.9	100	100	99.9929
-100.0	100.0	100	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Adult
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	14668
-Learning task	Classification analysis
-Target variable	class
-Main target value	more
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.870057	0.481524	0.923339
-R2	Classifier	Univariate	Univariate relationship	0.75859	0.20523	0.777504
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	less	more
-$less	10536	1315
-$more	591	2226
-
-Rank	R2
-
-Confusion matrix
-	less	more
-$less	11127	3541
-$more	0	0
-
-Data grid	Supervised
-Dimensions
-relationship	Categorical	Value groups
-	{Husband, Wife}	Husband	Wife
-	{Not-in-family}	Not-in-family
-	{Own-child, Other-relative}	Own-child	Other-relative	 * 
-	{Unmarried}	Unmarried
-class	Categorical	Values
-	less
-	more
-Cells
-Value group	less	more	Interest
-{Husband, Wife}	3621	2997	0.42137
-{Not-in-family}	3391	405	0.134193
-{Own-child, Other-relative}	2714	56	0.333377
-{Unmarried}	1401	83	0.11106
-
-Lift curves	less
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.131823	0.131823	0.129158
-0.2	0.2	0.263647	0.263647	0.258317
-0.3	0.3	0.39547	0.39547	0.387475
-0.4	0.4	0.527294	0.527294	0.516634
-0.5	0.5	0.659117	0.659117	0.645792
-0.6	0.6	0.790941	0.790941	0.774951
-0.7	0.7	0.922764	0.922764	0.904109
-0.8	0.8	1.05459	1.05459	1.03327
-0.9	0.9	1.18641	1.18641	1.16243
-1.0	1.0	1.31823	1.31823	1.29158
-1.1	1.1	1.45006	1.45006	1.42074
-1.2	1.2	1.58188	1.58188	1.5499
-1.3	1.3	1.71371	1.71371	1.67906
-1.4	1.4	1.84553	1.84553	1.80822
-1.5	1.5	1.97735	1.97735	1.93738
-1.6	1.6	2.10918	2.10918	2.06654
-1.7	1.7	2.241	2.241	2.19569
-1.8	1.8	2.37282	2.37282	2.32485
-1.9	1.9	2.50465	2.50465	2.45401
-2.0	2.0	2.63647	2.63647	2.58317
-2.1	2.1	2.76829	2.76829	2.71233
-2.2	2.2	2.90012	2.90012	2.84149
-2.3	2.3	3.03194	3.03194	2.97064
-2.4	2.4	3.16376	3.16376	3.0998
-2.5	2.5	3.29559	3.29559	3.22896
-2.6	2.6	3.42741	3.42741	3.35812
-2.7	2.7	3.55923	3.55923	3.48728
-2.8	2.8	3.69106	3.69106	3.61644
-2.9	2.9	3.82288	3.82288	3.7456
-3.0	3.0	3.9547	3.9547	3.87475
-3.1	3.1	4.08653	4.08653	4.00391
-3.2	3.2	4.21835	4.21835	4.13307
-3.3	3.3	4.35018	4.35018	4.26223
-3.4	3.4	4.482	4.482	4.39139
-3.5	3.5	4.61382	4.61382	4.52055
-3.6	3.6	4.74565	4.74565	4.6497
-3.7	3.7	4.87747	4.87747	4.77886
-3.8	3.8	5.00929	5.00929	4.90802
-3.9	3.9	5.14112	5.14112	5.03718
-4.0	4.0	5.27294	5.27294	5.16634
-4.1	4.1	5.40476	5.40476	5.2955
-4.2	4.2	5.53659	5.53659	5.42466
-4.3	4.3	5.66841	5.66841	5.55381
-4.4	4.4	5.80023	5.80023	5.68297
-4.5	4.5	5.93206	5.93206	5.81213
-4.6	4.6	6.06388	6.06388	5.94129
-4.7	4.7	6.1957	6.1957	6.07045
-4.8	4.8	6.32753	6.32753	6.19961
-4.9	4.9	6.45935	6.45935	6.32876
-5.0	5.0	6.59117	6.59117	6.45792
-5.1	5.1	6.723	6.723	6.58708
-5.2	5.2	6.85482	6.85482	6.71624
-5.3	5.3	6.98665	6.98665	6.8454
-5.4	5.4	7.11847	7.11847	6.97456
-5.5	5.5	7.25029	7.25029	7.10372
-5.6	5.6	7.38212	7.38212	7.23287
-5.7	5.7	7.51394	7.51394	7.36203
-5.8	5.8	7.64576	7.64576	7.49119
-5.9	5.9	7.77759	7.77759	7.62035
-6.0	6.0	7.90941	7.90941	7.74951
-6.1	6.1	8.04123	8.04123	7.87867
-6.2	6.2	8.17306	8.17306	8.00783
-6.3	6.3	8.30488	8.30488	8.13698
-6.4	6.4	8.4367	8.4367	8.26614
-6.5	6.5	8.56853	8.56853	8.3953
-6.6	6.6	8.70035	8.70035	8.52446
-6.7	6.7	8.83217	8.83217	8.65362
-6.8	6.8	8.964	8.964	8.78278
-6.9	6.9	9.09582	9.09582	8.91193
-7.0	7.0	9.22764	9.22764	9.04109
-7.1	7.1	9.35947	9.35947	9.17025
-7.2	7.2	9.49129	9.49129	9.29941
-7.3	7.3	9.62311	9.62311	9.42857
-7.4	7.4	9.75494	9.75494	9.55773
-7.5	7.5	9.88676	9.88676	9.68689
-7.6	7.6	10.0186	10.0096	9.81604
-7.7	7.7	10.1504	10.1414	9.9452
-7.8	7.8	10.2822	10.2732	10.0744
-7.9	7.9	10.4141	10.4051	10.2035
-8.0	8.0	10.5459	10.5369	10.3327
-8.1	8.1	10.6777	10.6687	10.4618
-8.2	8.2	10.8095	10.8005	10.591
-8.3	8.3	10.9413	10.9324	10.7202
-8.4	8.4	11.0732	11.0642	10.8493
-8.5	8.5	11.205	11.196	10.9785
-8.6	8.6	11.3368	11.3278	11.1076
-8.7	8.7	11.4686	11.4597	11.2368
-8.8	8.8	11.6005	11.5915	11.3659
-8.9	8.9	11.7323	11.7233	11.4951
-9.0	9.0	11.8641	11.8551	11.6243
-9.1	9.1	11.9959	11.987	11.7534
-9.2	9.2	12.1278	12.1188	11.8826
-9.3	9.3	12.2596	12.2506	12.0117
-9.4	9.4	12.3914	12.3824	12.1409
-9.5	9.5	12.5232	12.5142	12.2701
-9.6	9.6	12.6551	12.6461	12.3992
-9.7	9.7	12.7869	12.7779	12.5284
-9.8	9.8	12.9187	12.9097	12.6575
-9.9	9.9	13.0505	13.0415	12.7867
-10.0	10.0	13.1823	13.1734	12.9158
-10.1	10.1	13.3142	13.3052	13.045
-10.2	10.2	13.446	13.437	13.1742
-10.3	10.3	13.5778	13.5688	13.3033
-10.4	10.4	13.7096	13.7007	13.4325
-10.5	10.5	13.8415	13.8325	13.5616
-10.6	10.6	13.9733	13.9643	13.6908
-10.7	10.7	14.1051	14.0961	13.82
-10.8	10.8	14.2369	14.228	13.9491
-10.9	10.9	14.3688	14.3598	14.0783
-11.0	11.0	14.5006	14.4916	14.2074
-11.1	11.1	14.6324	14.6234	14.3366
-11.2	11.2	14.7642	14.7552	14.4657
-11.3	11.3	14.8961	14.8871	14.5949
-11.4	11.4	15.0279	15.0189	14.7241
-11.5	11.5	15.1597	15.1507	14.8532
-11.6	11.6	15.2915	15.2825	14.9824
-11.7	11.7	15.4233	15.4144	15.1115
-11.8	11.8	15.5552	15.5462	15.2407
-11.9	11.9	15.687	15.678	15.3699
-12.0	12.0	15.8188	15.8098	15.499
-12.1	12.1	15.9506	15.9417	15.6282
-12.2	12.2	16.0825	16.0735	15.7573
-12.3	12.3	16.2143	16.2053	15.8865
-12.4	12.4	16.3461	16.3371	16.0157
-12.5	12.5	16.4779	16.4689	16.1448
-12.6	12.6	16.6098	16.6008	16.274
-12.7	12.7	16.7416	16.7326	16.4031
-12.8	12.8	16.8734	16.8644	16.5323
-12.9	12.9	17.0052	16.9962	16.6614
-13.0	13.0	17.1371	17.1281	16.7906
-13.1	13.1	17.2689	17.2599	16.9198
-13.2	13.2	17.4007	17.3917	17.0489
-13.3	13.3	17.5325	17.5235	17.1781
-13.4	13.4	17.6643	17.6554	17.3072
-13.5	13.5	17.7962	17.7872	17.4364
-13.6	13.6	17.928	17.919	17.5656
-13.7	13.7	18.0598	18.0508	17.6947
-13.8	13.8	18.1916	18.1827	17.8239
-13.9	13.9	18.3235	18.3145	17.953
-14.0	14.0	18.4553	18.4463	18.0822
-14.1	14.1	18.5871	18.5781	18.2113
-14.2	14.2	18.7189	18.7099	18.3405
-14.3	14.3	18.8508	18.8418	18.4697
-14.4	14.4	18.9826	18.9736	18.5988
-14.5	14.5	19.1144	19.1054	18.728
-14.6	14.6	19.2462	19.2372	18.8571
-14.7	14.7	19.3781	19.3691	18.9863
-14.8	14.8	19.5099	19.5009	19.1155
-14.9	14.9	19.6417	19.6327	19.2446
-15.0	15.0	19.7735	19.7645	19.3738
-15.1	15.1	19.9053	19.8964	19.5029
-15.2	15.2	20.0372	20.0282	19.6321
-15.3	15.3	20.169	20.16	19.7612
-15.4	15.4	20.3008	20.2918	19.8904
-15.5	15.5	20.4326	20.4237	20.0196
-15.6	15.6	20.5645	20.5555	20.1487
-15.7	15.7	20.6963	20.6873	20.2779
-15.8	15.8	20.8281	20.8191	20.407
-15.9	15.9	20.9599	20.9509	20.5362
-16.0	16.0	21.0918	21.0828	20.6654
-16.1	16.1	21.2236	21.2146	20.7945
-16.2	16.2	21.3554	21.3464	20.9237
-16.3	16.3	21.4872	21.4782	21.0528
-16.4	16.4	21.6191	21.6101	21.182
-16.5	16.5	21.7509	21.7419	21.3111
-16.6	16.6	21.8827	21.8737	21.4403
-16.7	16.7	22.0145	21.9965	21.5695
-16.8	16.8	22.1463	22.1284	21.6986
-16.9	16.9	22.2782	22.2602	21.8278
-17.0	17.0	22.41	22.392	21.9569
-17.1	17.1	22.5418	22.5238	22.0861
-17.2	17.2	22.6736	22.6557	22.2153
-17.3	17.3	22.8055	22.7875	22.3444
-17.4	17.4	22.9373	22.9193	22.4736
-17.5	17.5	23.0691	23.0511	22.6027
-17.6	17.6	23.2009	23.183	22.7319
-17.7	17.7	23.3328	23.3148	22.861
-17.8	17.8	23.4646	23.4466	22.9902
-17.9	17.9	23.5964	23.5784	23.1194
-18.0	18.0	23.7282	23.7103	23.2485
-18.1	18.1	23.8601	23.8421	23.3777
-18.2	18.2	23.9919	23.9739	23.5068
-18.3	18.3	24.1237	24.1057	23.636
-18.4	18.4	24.2555	24.2375	23.7652
-18.5	18.5	24.3873	24.3694	23.8943
-18.6	18.6	24.5192	24.5012	24.0235
-18.7	18.7	24.651	24.633	24.1526
-18.8	18.8	24.7828	24.7648	24.2818
-18.9	18.9	24.9146	24.8967	24.4102
-19.0	19.0	25.0465	25.0285	24.5347
-19.1	19.1	25.1783	25.1603	24.6591
-19.2	19.2	25.3101	25.2921	24.7836
-19.3	19.3	25.4419	25.424	24.908
-19.4	19.4	25.5738	25.5558	25.0325
-19.5	19.5	25.7056	25.6876	25.1569
-19.6	19.6	25.8374	25.8108	25.2814
-19.7	19.7	25.9692	25.9423	25.4058
-19.8	19.8	26.1011	26.0651	25.5303
-19.9	19.9	26.2329	26.1969	25.6547
-20.0	20.0	26.3647	26.3287	25.7792
-20.1	20.1	26.4965	26.4606	25.9036
-20.2	20.2	26.6283	26.5924	26.0281
-20.3	20.3	26.7602	26.7242	26.1525
-20.4	20.4	26.892	26.856	26.277
-20.5	20.5	27.0238	26.9879	26.4014
-20.6	20.6	27.1556	27.1197	26.5259
-20.7	20.7	27.2875	27.2515	26.6503
-20.8	20.8	27.4193	27.3833	26.7748
-20.9	20.9	27.5511	27.5152	26.8992
-21.0	21.0	27.6829	27.647	27.0237
-21.1	21.1	27.8148	27.7788	27.1481
-21.2	21.2	27.9466	27.9106	27.2726
-21.3	21.3	28.0784	28.0425	27.397
-21.4	21.4	28.2102	28.1743	27.5215
-21.5	21.5	28.3421	28.3061	27.6459
-21.6	21.6	28.4739	28.4379	27.7704
-21.7	21.7	28.6057	28.5697	27.8948
-21.8	21.8	28.7375	28.7016	28.0193
-21.9	21.9	28.8693	28.8334	28.1437
-22.0	22.0	29.0012	28.9652	28.2682
-22.1	22.1	29.133	29.097	28.3926
-22.2	22.2	29.2648	29.2289	28.5171
-22.3	22.3	29.3966	29.3607	28.6415
-22.4	22.4	29.5285	29.4925	28.766
-22.5	22.5	29.6603	29.6243	28.8904
-22.6	22.6	29.7921	29.7562	29.0149
-22.7	22.7	29.9239	29.888	29.1394
-22.8	22.8	30.0558	30.0198	29.2638
-22.9	22.9	30.1876	30.1516	29.3883
-23.0	23.0	30.3194	30.2745	29.5127
-23.1	23.1	30.4512	30.4063	29.6372
-23.2	23.2	30.5831	30.5381	29.7616
-23.3	23.3	30.7149	30.6699	29.8861
-23.4	23.4	30.8467	30.8018	30.0105
-23.5	23.5	30.9785	30.9336	30.135
-23.6	23.6	31.1103	31.0654	30.2594
-23.7	23.7	31.2422	31.1972	30.3839
-23.8	23.8	31.374	31.3291	30.5083
-23.9	23.9	31.5058	31.4609	30.6328
-24.0	24.0	31.6376	31.5927	30.7572
-24.1	24.1	31.7695	31.7245	30.8817
-24.2	24.2	31.9013	31.8563	31.0061
-24.3	24.3	32.0331	31.9882	31.1306
-24.4	24.4	32.1649	32.12	31.255
-24.5	24.5	32.2968	32.2518	31.3795
-24.6	24.6	32.4286	32.3836	31.5039
-24.7	24.7	32.5604	32.5155	31.6284
-24.8	24.8	32.6922	32.6383	31.7528
-24.9	24.9	32.824	32.7701	31.8773
-25.0	25.0	32.9559	32.902	32.0017
-25.1	25.1	33.0877	33.0338	32.1262
-25.2	25.2	33.2195	33.1656	32.2506
-25.3	25.3	33.3513	33.2974	32.3751
-25.4	25.4	33.4832	33.4292	32.4995
-25.5	25.5	33.615	33.5521	32.624
-25.6	25.6	33.7468	33.6839	32.7484
-25.7	25.7	33.8786	33.8157	32.8729
-25.8	25.8	34.0105	33.9476	32.9973
-25.9	25.9	34.1423	34.0704	33.1218
-26.0	26.0	34.2741	34.1932	33.2462
-26.1	26.1	34.4059	34.325	33.3707
-26.2	26.2	34.5378	34.4569	33.4951
-26.3	26.3	34.6696	34.5887	33.6196
-26.4	26.4	34.8014	34.7205	33.744
-26.5	26.5	34.9332	34.8523	33.8685
-26.6	26.6	35.065	34.9842	33.9929
-26.7	26.7	35.1969	35.1152	34.1174
-26.8	26.8	35.3287	35.2298	34.2418
-26.9	26.9	35.4605	35.3617	34.3663
-27.0	27.0	35.5923	35.4935	34.4907
-27.1	27.1	35.7242	35.6253	34.6152
-27.2	27.2	35.856	35.7571	34.7396
-27.3	27.3	35.9878	35.88	34.8641
-27.4	27.4	36.1196	36.0118	34.9885
-27.5	27.5	36.2515	36.1436	35.113
-27.6	27.6	36.3833	36.2754	35.2374
-27.7	27.7	36.5151	36.4073	35.3619
-27.8	27.8	36.6469	36.5391	35.4863
-27.9	27.9	36.7788	36.6709	35.6108
-28.0	28.0	36.9106	36.7937	35.7352
-28.1	28.1	37.0424	36.9256	35.8597
-28.2	28.2	37.1742	37.0574	35.9841
-28.3	28.3	37.306	37.1892	36.1086
-28.4	28.4	37.4379	37.321	36.233
-28.5	28.5	37.5697	37.4529	36.3575
-28.6	28.6	37.7015	37.5847	36.4819
-28.7	28.7	37.8333	37.7165	36.6064
-28.8	28.8	37.9652	37.8483	36.7308
-28.9	28.9	38.097	37.9802	36.8553
-29.0	29.0	38.2288	38.112	36.9797
-29.1	29.1	38.3606	38.2258	37.0976
-29.2	29.2	38.4925	38.3577	37.2154
-29.3	29.3	38.6243	38.4895	37.3331
-29.4	29.4	38.7561	38.6213	37.4509
-29.5	29.5	38.8879	38.7441	37.5687
-29.6	29.6	39.0198	38.876	37.6864
-29.7	29.7	39.1516	39.0078	37.8042
-29.8	29.8	39.2834	39.1396	37.9219
-29.9	29.9	39.4152	39.2624	38.0397
-30.0	30.0	39.547	39.3943	38.1575
-30.1	30.1	39.6789	39.5261	38.2752
-30.2	30.2	39.8107	39.6579	38.393
-30.3	30.3	39.9425	39.7897	38.5107
-30.4	30.4	40.0743	39.9126	38.6285
-30.5	30.5	40.2062	40.0444	38.7463
-30.6	30.6	40.338	40.1762	38.864
-30.7	30.7	40.4698	40.308	38.9818
-30.8	30.8	40.6016	40.4399	39.0995
-30.9	30.9	40.7335	40.5717	39.2173
-31.0	31.0	40.8653	40.6945	39.335
-31.1	31.1	40.9971	40.8264	39.4528
-31.2	31.2	41.1289	40.9582	39.5706
-31.3	31.3	41.2608	41.09	39.6883
-31.4	31.4	41.3926	41.2218	39.8061
-31.5	31.5	41.5244	41.3536	39.9238
-31.6	31.6	41.6562	41.4855	40.0416
-31.7	31.7	41.788	41.5993	40.1594
-31.8	31.8	41.9199	41.7311	40.2771
-31.9	31.9	42.0517	41.863	40.3949
-32.0	32.0	42.1835	41.9948	40.5126
-32.1	32.1	42.3153	42.1266	40.6304
-32.2	32.2	42.4472	42.2494	40.7482
-32.3	32.3	42.579	42.3813	40.8659
-32.4	32.4	42.7108	42.5131	40.9837
-32.5	32.5	42.8426	42.6449	41.1014
-32.6	32.6	42.9745	42.7588	41.2192
-32.7	32.7	43.1063	42.8906	41.337
-32.8	32.8	43.2381	43.0134	41.4547
-32.9	32.9	43.3699	43.1453	41.5725
-33.0	33.0	43.5018	43.2771	41.6902
-33.1	33.1	43.6336	43.39	41.808
-33.2	33.2	43.7654	43.5048	41.9257
-33.3	33.3	43.8972	43.6366	42.0435
-33.4	33.4	44.029	43.7684	42.1613
-33.5	33.5	44.1609	43.9002	42.279
-33.6	33.6	44.2927	44.0321	42.3968
-33.7	33.7	44.4245	44.1639	42.5145
-33.8	33.8	44.5563	44.2957	42.6323
-33.9	33.9	44.6882	44.4275	42.7501
-34.0	34.0	44.82	44.5504	42.8678
-34.1	34.1	44.9518	44.6732	42.9856
-34.2	34.2	45.0836	44.805	43.1033
-34.3	34.3	45.2155	44.9279	43.2211
-34.4	34.4	45.3473	45.0597	43.3389
-34.5	34.5	45.4791	45.1915	43.4566
-34.6	34.6	45.6109	45.3144	43.5744
-34.7	34.7	45.7428	45.4462	43.6921
-34.8	34.8	45.8746	45.578	43.8099
-34.9	34.9	46.0064	45.7008	43.9277
-35.0	35.0	46.1382	45.8237	44.0454
-35.1	35.1	46.27	45.9465	44.1632
-35.2	35.2	46.4019	46.0783	44.2809
-35.3	35.3	46.5337	46.2102	44.3987
-35.4	35.4	46.6655	46.342	44.5164
-35.5	35.5	46.7973	46.4648	44.6342
-35.6	35.6	46.9292	46.5882	44.752
-35.7	35.7	47.061	46.7195	44.8697
-35.8	35.8	47.1928	46.8513	44.9875
-35.9	35.9	47.3246	46.9831	45.1052
-36.0	36.0	47.4565	47.106	45.223
-36.1	36.1	47.5883	47.2378	45.3408
-36.2	36.2	47.7201	47.3696	45.4585
-36.3	36.3	47.8519	47.5014	45.5763
-36.4	36.4	47.9838	47.6243	45.694
-36.5	36.5	48.1156	47.7561	45.8118
-36.6	36.6	48.2474	47.8879	45.9296
-36.7	36.7	48.3792	48.0197	46.0473
-36.8	36.8	48.511	48.1442	46.1651
-36.9	36.9	48.6429	48.2654	46.2828
-37.0	37.0	48.7747	48.3972	46.4006
-37.1	37.1	48.9065	48.5126	46.5184
-37.2	37.2	49.0383	48.6384	46.6361
-37.3	37.3	49.1702	48.7568	46.7539
-37.4	37.4	49.302	48.8708	46.8716
-37.5	37.5	49.4338	49.0008	46.9894
-37.6	37.6	49.5656	49.1238	47.1071
-37.7	37.7	49.6975	49.2481	47.2249
-37.8	37.8	49.8293	49.3709	47.3427
-37.9	37.9	49.9611	49.5028	47.4604
-38.0	38.0	50.0929	49.6346	47.5782
-38.1	38.1	50.2248	49.7664	47.6959
-38.2	38.2	50.3566	49.8982	47.8137
-38.3	38.3	50.4884	50.0301	47.9315
-38.4	38.4	50.6202	50.1619	48.0492
-38.5	38.5	50.752	50.2937	48.167
-38.6	38.6	50.8839	50.4165	48.2847
-38.7	38.7	51.0157	50.5484	48.4025
-38.8	38.8	51.1475	50.6802	48.5203
-38.9	38.9	51.2793	50.812	48.638
-39.0	39.0	51.4112	50.9348	48.7558
-39.1	39.1	51.543	51.0667	48.8735
-39.2	39.2	51.6748	51.1895	48.9913
-39.3	39.3	51.8066	51.3123	49.1091
-39.4	39.4	51.9385	51.4442	49.2268
-39.5	39.5	52.0703	51.576	49.3446
-39.6	39.6	52.2021	51.6898	49.4623
-39.7	39.7	52.3339	51.8217	49.5801
-39.8	39.8	52.4657	51.9535	49.6978
-39.9	39.9	52.5976	52.0853	49.8156
-40.0	40.0	52.7294	52.2153	49.9334
-40.1	40.1	52.8612	52.34	50.0511
-40.2	40.2	52.993	52.4718	50.1689
-40.3	40.3	53.1249	52.6018	50.2866
-40.4	40.4	53.2567	52.7175	50.4044
-40.5	40.5	53.3885	52.8223	50.5222
-40.6	40.6	53.5203	52.9362	50.6399
-40.7	40.7	53.6522	53.068	50.7577
-40.8	40.8	53.784	53.1998	50.8754
-40.9	40.9	53.9158	53.3316	50.9932
-41.0	41.0	54.0476	53.4635	51.111
-41.1	41.1	54.1795	53.5953	51.2287
-41.2	41.2	54.3113	53.7145	51.3465
-41.3	41.3	54.4431	53.841	51.4642
-41.4	41.4	54.5749	53.9728	51.582
-41.5	41.5	54.7067	54.0966	51.6998
-41.6	41.6	54.8386	54.2185	51.8175
-41.7	41.7	54.9704	54.3323	51.9353
-41.8	41.8	55.1022	54.4641	52.053
-41.9	41.9	55.234	54.596	52.1708
-42.0	42.0	55.3659	54.7098	52.2885
-42.1	42.1	55.4977	54.8326	52.4063
-42.2	42.2	55.6295	54.9588	52.5241
-42.3	42.3	55.7613	55.0783	52.6418
-42.4	42.4	55.8932	55.2101	52.7596
-42.5	42.5	56.025	55.342	52.8773
-42.6	42.6	56.1568	55.4648	52.9951
-42.7	42.7	56.2886	55.5786	53.1129
-42.8	42.8	56.4205	55.7015	53.2306
-42.9	42.9	56.5523	55.8333	53.3484
-43.0	43.0	56.6841	55.9472	53.4661
-43.1	43.1	56.8159	56.07	53.5839
-43.2	43.2	56.9477	56.1966	53.7017
-43.3	43.3	57.0796	56.3157	53.8194
-43.4	43.4	57.2114	56.4475	53.9372
-43.5	43.5	57.3432	56.5793	54.0549
-43.6	43.6	57.475	56.6932	54.1727
-43.7	43.7	57.6069	56.825	54.2905
-43.8	43.8	57.7387	56.9298	54.4082
-43.9	43.9	57.8705	57.0617	54.526
-44.0	44.0	58.0023	57.1935	54.6437
-44.1	44.1	58.1342	57.3073	54.7615
-44.2	44.2	58.266	57.4392	54.8792
-44.3	44.3	58.3978	57.553	54.997
-44.4	44.4	58.5296	57.6669	55.1148
-44.5	44.5	58.6615	57.7627	55.2325
-44.6	44.6	58.7933	57.8856	55.3503
-44.7	44.7	58.9251	58.0084	55.468
-44.8	44.8	59.0569	58.1402	55.5858
-44.9	44.9	59.1887	58.2541	55.7036
-45.0	45.0	59.3206	58.3769	55.8213
-45.1	45.1	59.4524	58.4998	55.9391
-45.2	45.2	59.5842	58.6226	56.0568
-45.3	45.3	59.716	58.7454	56.1746
-45.4	45.4	59.8479	58.8683	56.2924
-45.5	45.5	59.9797	59.0001	56.4101
-45.6	45.6	60.1115	59.1139	56.5279
-45.7	45.7	60.2433	59.2458	56.6456
-45.8	45.8	60.3752	59.3776	56.7634
-45.9	45.9	60.507	59.5094	56.8812
-46.0	46.0	60.6388	59.6322	56.9989
-46.1	46.1	60.7706	59.7461	57.1167
-46.2	46.2	60.9025	59.8544	57.2344
-46.3	46.3	61.0343	59.9828	57.3522
-46.4	46.4	61.1661	60.1056	57.4699
-46.5	46.5	61.2979	60.2374	57.5877
-46.6	46.6	61.4297	60.3693	57.7055
-46.7	46.7	61.5616	60.4921	57.8232
-46.8	46.8	61.6934	60.6149	57.941
-46.9	46.9	61.8252	60.7378	58.0587
-47.0	47.0	61.957	60.8696	58.1765
-47.1	47.1	62.0889	60.9924	58.2943
-47.2	47.2	62.2207	61.1243	58.412
-47.3	47.3	62.3525	61.2561	58.5298
-47.4	47.4	62.4843	61.3699	58.6475
-47.5	47.5	62.6162	61.4928	58.7653
-47.6	47.6	62.748	61.6075	58.8831
-47.7	47.7	62.8798	61.7295	59.0008
-47.8	47.8	63.0116	61.8523	59.1186
-47.9	47.9	63.1435	61.9751	59.2363
-48.0	48.0	63.2753	62.098	59.3541
-48.1	48.1	63.4071	62.218	59.4719
-48.2	48.2	63.5389	62.3436	59.5896
-48.3	48.3	63.6707	62.4575	59.7074
-48.4	48.4	63.8026	62.5893	59.8251
-48.5	48.5	63.9344	62.7121	59.9429
-48.6	48.6	64.0662	62.835	60.0606
-48.7	48.7	64.198	62.9398	60.1784
-48.8	48.8	64.3299	63.0627	60.2962
-48.9	48.9	64.4617	63.1945	60.4139
-49.0	49.0	64.5935	63.3263	60.5317
-49.1	49.1	64.7253	63.4492	60.6494
-49.2	49.2	64.8572	63.581	60.7672
-49.3	49.3	64.989	63.6948	60.885
-49.4	49.4	65.1208	63.8267	61.0027
-49.5	49.5	65.2526	63.9405	61.1205
-49.6	49.6	65.3845	64.0723	61.2382
-49.7	49.7	65.5163	64.1967	61.356
-49.8	49.8	65.6481	64.318	61.4738
-49.9	49.9	65.7799	64.4408	61.5915
-50.0	50.0	65.9117	64.5547	61.7093
-50.1	50.1	66.0436	64.6775	61.827
-50.2	50.2	66.1754	64.8004	61.9448
-50.3	50.3	66.3072	64.9232	62.0626
-50.4	50.4	66.439	65.04	62.1803
-50.5	50.5	66.5709	65.1509	62.2981
-50.6	50.6	66.7027	65.2737	62.4158
-50.7	50.7	66.8345	65.4056	62.5336
-50.8	50.8	66.9663	65.5284	62.6513
-50.9	50.9	67.0982	65.6602	62.7691
-51.0	51.0	67.23	65.7831	62.8869
-51.1	51.1	67.3618	65.8969	63.0046
-51.2	51.2	67.4936	66.0197	63.1224
-51.3	51.3	67.6255	66.1516	63.2401
-51.4	51.4	67.7573	66.2654	63.3579
-51.5	51.5	67.8891	66.3793	63.4757
-51.6	51.6	68.0209	66.4931	63.5934
-51.7	51.7	68.1527	66.607	63.7112
-51.8	51.8	68.2846	66.7028	63.8289
-51.9	51.9	68.4164	66.8077	63.9467
-52.0	52.0	68.5482	66.9215	64.0645
-52.1	52.1	68.68	67.0264	64.1822
-52.2	52.2	68.8119	67.1403	64.3
-52.3	52.3	68.9437	67.2451	64.4177
-52.4	52.4	69.0755	67.359	64.5355
-52.5	52.5	69.2073	67.4821	64.6533
-52.6	52.6	69.3392	67.6046	64.771
-52.7	52.7	69.471	67.7365	64.8888
-52.8	52.8	69.6028	67.8593	65.0065
-52.9	52.9	69.7346	67.9788	65.1243
-53.0	53.0	69.8665	68.0869	65.242
-53.1	53.1	69.9983	68.2098	65.3598
-53.2	53.2	70.1301	68.3237	65.4776
-53.3	53.3	70.2619	68.4465	65.5953
-53.4	53.4	70.3937	68.5783	65.7131
-53.5	53.5	70.5256	68.7012	65.8308
-53.6	53.6	70.6574	68.824	65.9486
-53.7	53.7	70.7892	68.9469	66.0664
-53.8	53.8	70.921	69.0697	66.1841
-53.9	53.9	71.0529	69.2015	66.3019
-54.0	54.0	71.1847	69.3154	66.4196
-54.1	54.1	71.3165	69.4382	66.5374
-54.2	54.2	71.4483	69.552	66.6552
-54.3	54.3	71.5802	69.6749	66.7729
-54.4	54.4	71.712	69.7977	66.8907
-54.5	54.5	71.8438	69.9116	67.0084
-54.6	54.6	71.9756	70.0254	67.1262
-54.7	54.7	72.1075	70.1372	67.244
-54.8	54.8	72.2393	70.2621	67.3617
-54.9	54.9	72.3711	70.3939	67.471
-55.0	55.0	72.5029	70.4988	67.5431
-55.1	55.1	72.6347	70.6306	67.6152
-55.2	55.2	72.7666	70.7449	67.6873
-55.3	55.3	72.8984	70.8493	67.7595
-55.4	55.4	73.0302	70.9632	67.8316
-55.5	55.5	73.162	71.077	67.9037
-55.6	55.6	73.2939	71.1729	67.9759
-55.7	55.7	73.4257	71.2951	68.048
-55.8	55.8	73.5575	71.4187	68.1201
-55.9	55.9	73.6893	71.5197	68.1922
-56.0	56.0	73.8212	71.6373	68.2644
-56.1	56.1	73.953	71.7421	68.3365
-56.2	56.2	74.0848	71.856	68.4086
-56.3	56.3	74.2166	71.9609	68.4807
-56.4	56.4	74.3484	72.073	68.5529
-56.5	56.5	74.4803	72.1975	68.625
-56.6	56.6	74.6121	72.3294	68.6971
-56.7	56.7	74.7439	72.4522	68.7692
-56.8	56.8	74.8757	72.5651	68.8414
-56.9	56.9	75.0076	72.6797	68.9135
-57.0	57.0	75.1394	72.769	68.9856
-57.1	57.1	75.2712	72.8896	69.0578
-57.2	57.2	75.403	73.0125	69.1299
-57.3	57.3	75.5349	73.1263	69.202
-57.4	57.4	75.6667	73.2515	69.2741
-57.5	57.5	75.7985	73.381	69.3463
-57.6	57.6	75.9303	73.4858	69.4184
-57.7	57.7	76.0622	73.5817	69.4905
-57.8	57.8	76.194	73.6947	69.5626
-57.9	57.9	76.3258	73.8004	69.6348
-58.0	58.0	76.4576	73.9106	69.7069
-58.1	58.1	76.5894	74.0271	69.779
-58.2	58.2	76.7213	74.142	69.8511
-58.3	58.3	76.8531	74.2698	69.9233
-58.4	58.4	76.9849	74.3687	69.9954
-58.5	58.5	77.1167	74.4655	70.0675
-58.6	58.6	77.2486	74.5794	70.1396
-58.7	58.7	77.3804	74.6728	70.2118
-58.8	58.8	77.5122	74.7718	70.2839
-58.9	58.9	77.644	74.894	70.356
-59.0	59.0	77.7759	74.9988	70.4282
-59.1	59.1	77.9077	75.0786	70.5003
-59.2	59.2	78.0395	75.2086	70.5724
-59.3	59.3	78.1713	75.3244	70.6445
-59.4	59.4	78.3032	75.4273	70.7167
-59.5	59.5	78.435	75.5233	70.7888
-59.6	59.6	78.5668	75.6294	70.8609
-59.7	59.7	78.6986	75.7257	70.933
-59.8	59.8	78.8304	75.8351	71.0052
-59.9	59.9	78.9623	75.9311	71.0773
-60.0	60.0	79.0941	76.0295	71.1494
-60.1	60.1	79.2259	76.1523	71.2215
-60.2	60.2	79.3577	76.2739	71.2937
-60.3	60.3	79.4896	76.38	71.3658
-60.4	60.4	79.6214	76.4716	71.4379
-60.5	60.5	79.7532	76.5839	71.5101
-60.6	60.6	79.885	76.6946	71.5822
-60.7	60.7	80.0169	76.7995	71.6543
-60.8	60.8	80.1487	76.8902	71.7264
-60.9	60.9	80.2805	76.9912	71.7986
-61.0	61.0	80.4123	77.1132	71.8707
-61.1	61.1	80.5442	77.2266	71.9428
-61.2	61.2	80.676	77.3238	72.0149
-61.3	61.3	80.8078	77.4018	72.0871
-61.4	61.4	80.9396	77.5093	72.1592
-61.5	61.5	81.0714	77.6384	72.2313
-61.6	61.6	81.2033	77.7432	72.3034
-61.7	61.7	81.3351	77.8661	72.3756
-61.8	61.8	81.4669	77.9799	72.4477
-61.9	61.9	81.5987	78.0843	72.5198
-62.0	62.0	81.7306	78.1896	72.5919
-62.1	62.1	81.8624	78.3035	72.6641
-62.2	62.2	81.9942	78.4173	72.7362
-62.3	62.3	82.126	78.5132	72.8083
-62.4	62.4	82.2579	78.5908	72.8805
-62.5	62.5	82.3897	78.6713	72.9526
-62.6	62.6	82.5215	78.7993	73.0247
-62.7	62.7	82.6533	78.8967	73.0968
-62.8	62.8	82.7852	79.0106	73.169
-62.9	62.9	82.917	79.1154	73.2411
-63.0	63.0	83.0488	79.1843	73.3132
-63.1	63.1	83.1806	79.3072	73.3853
-63.2	63.2	83.3124	79.4104	73.4575
-63.3	63.3	83.4443	79.5003	73.5296
-63.4	63.4	83.5761	79.6226	73.6017
-63.5	63.5	83.7079	79.734	73.6738
-63.6	63.6	83.8397	79.8328	73.746
-63.7	63.7	83.9716	79.9115	73.8181
-63.8	63.8	84.1034	80.014	73.8902
-63.9	63.9	84.2352	80.1194	73.9624
-64.0	64.0	84.367	80.2126	74.0345
-64.1	64.1	84.4989	80.3108	74.1066
-64.2	64.2	84.6307	80.4029	74.1787
-64.3	64.3	84.7625	80.4936	74.2509
-64.4	64.4	84.8943	80.5715	74.323
-64.5	64.5	85.0262	80.7008	74.3951
-64.6	64.6	85.158	80.8262	74.4672
-64.7	64.7	85.2898	80.94	74.5394
-64.8	64.8	85.4216	81.0539	74.6115
-64.9	64.9	85.5534	81.1497	74.6836
-65.0	65.0	85.6853	81.2618	74.7557
-65.1	65.1	85.8171	81.3667	74.8279
-65.2	65.2	85.9489	81.4563	74.9
-65.3	65.3	86.0807	81.5332	74.9721
-65.4	65.4	86.2126	81.6295	75.0442
-65.5	65.5	86.3444	81.7291	75.1164
-65.6	65.6	86.4762	81.8388	75.1885
-65.7	65.7	86.608	81.935	75.2606
-65.8	65.8	86.7399	82.0576	75.3328
-65.9	65.9	86.8717	82.1534	75.4049
-66.0	66.0	87.0035	82.2763	75.477
-66.1	66.1	87.1353	82.3762	75.5491
-66.2	66.2	87.2672	82.4771	75.6213
-66.3	66.3	87.399	82.5811	75.6934
-66.4	66.4	87.5308	82.6957	75.7655
-66.5	66.5	87.6626	82.8006	75.8376
-66.6	66.6	87.7944	82.9134	75.9098
-66.7	66.7	87.9263	83.0103	75.9819
-66.8	66.8	88.0581	83.1104	76.054
-66.9	66.9	88.1899	83.207	76.1261
-67.0	67.0	88.3217	83.3159	76.1983
-67.1	67.1	88.4536	83.4014	76.2704
-67.2	67.2	88.5854	83.4858	76.3425
-67.3	67.3	88.7172	83.5817	76.4146
-67.4	67.4	88.849	83.6776	76.4868
-67.5	67.5	88.9809	83.7663	76.5589
-67.6	67.6	89.1127	83.8552	76.631
-67.7	67.7	89.2445	83.9471	76.7032
-67.8	67.8	89.3763	84.0559	76.7753
-67.9	67.9	89.5082	84.1788	76.8474
-68.0	68.0	89.64	84.2657	76.9195
-68.1	68.1	89.7718	84.3615	76.9917
-68.2	68.2	89.9036	84.4345	77.0638
-68.3	68.3	90.0354	84.4994	77.1359
-68.4	68.4	90.1673	84.587	77.208
-68.5	68.5	90.2991	84.6911	77.2802
-68.6	68.6	90.4309	84.8012	77.3523
-68.7	68.7	90.5627	84.8763	77.4244
-68.8	68.8	90.6946	84.9877	77.4965
-68.9	68.9	90.8264	85.1106	77.5687
-69.0	69.0	90.9582	85.1705	77.6408
-69.1	69.1	91.09	85.2664	77.7129
-69.2	69.2	91.2219	85.369	77.7851
-69.3	69.3	91.3537	85.4318	77.8572
-69.4	69.4	91.4855	85.518	77.9293
-69.5	69.5	91.6173	85.5984	78.0014
-69.6	69.6	91.7492	85.6808	78.0736
-69.7	69.7	91.881	85.7696	78.1457
-69.8	69.8	92.0128	85.86	78.2178
-69.9	69.9	92.1446	85.9504	78.2899
-70.0	70.0	92.2764	86.0408	78.3621
-70.1	70.1	92.4083	86.1311	78.4342
-70.2	70.2	92.5401	86.2137	78.5063
-70.3	70.3	92.6719	86.309	78.5784
-70.4	70.4	92.8037	86.4037	78.6506
-70.5	70.5	92.9356	86.5108	78.7227
-70.6	70.6	93.0674	86.6305	78.7948
-70.7	70.7	93.1992	86.7298	78.8669
-70.8	70.8	93.331	86.8154	78.9391
-70.9	70.9	93.4629	86.9098	79.0112
-71.0	71.0	93.5947	86.9981	79.0833
-71.1	71.1	93.7265	87.094	79.1555
-71.2	71.2	93.8583	87.2006	79.2276
-71.3	71.3	93.9902	87.2857	79.2997
-71.4	71.4	94.122	87.3795	79.3718
-71.5	71.5	94.2538	87.449	79.444
-71.6	71.6	94.3856	87.5327	79.5161
-71.7	71.7	94.5174	87.5911	79.5882
-71.8	71.8	94.6493	87.65	79.6603
-71.9	71.9	94.7811	87.7316	79.7325
-72.0	72.0	94.9129	87.82	79.8046
-72.1	72.1	95.0447	87.9084	79.8767
-72.2	72.2	95.1766	87.9968	79.9488
-72.3	72.3	95.3084	88.0852	80.021
-72.4	72.4	95.4402	88.1736	80.0931
-72.5	72.5	95.572	88.2471	80.1652
-72.6	72.6	95.7039	88.2806	80.2374
-72.7	72.7	95.8357	88.367	80.3095
-72.8	72.8	95.9675	88.4425	80.3816
-72.9	72.9	96.0993	88.5321	80.4537
-73.0	73.0	96.2311	88.6291	80.5259
-73.1	73.1	96.363	88.7263	80.598
-73.2	73.2	96.4948	88.8356	80.6701
-73.3	73.3	96.6266	88.9516	80.7422
-73.4	73.4	96.7584	89.0744	80.8144
-73.5	73.5	96.8903	89.1793	80.8865
-73.6	73.6	97.0221	89.2482	80.9586
-73.7	73.7	97.1539	89.3195	81.0307
-73.8	73.8	97.2857	89.404	81.1029
-73.9	73.9	97.4176	89.4819	81.175
-74.0	74.0	97.5494	89.5763	81.2471
-74.1	74.1	97.6812	89.6468	81.3192
-74.2	74.2	97.813	89.7367	81.3914
-74.3	74.3	97.9449	89.8176	81.4635
-74.4	74.4	98.0767	89.8817	81.5356
-74.5	74.5	98.2085	89.9673	81.6078
-74.6	74.6	98.3403	90.073	81.6799
-74.7	74.7	98.4721	90.1378	81.752
-74.8	74.8	98.604	90.2246	81.8241
-74.9	74.9	98.7358	90.312	81.8963
-75.0	75.0	98.8676	90.3843	81.9684
-75.1	75.1	98.9994	90.4714	82.0405
-75.2	75.2	99.1313	90.5845	82.1126
-75.3	75.3	99.2631	90.6714	82.1848
-75.4	75.4	99.3949	90.7432	82.2569
-75.5	75.5	99.5267	90.8241	82.329
-75.6	75.6	99.6586	90.923	82.4011
-75.7	75.7	99.7904	91.0189	82.4733
-75.8	75.8	99.9222	91.0878	82.5454
-75.9	75.9	100	91.1657	82.6175
-76.0	76.0	100	91.2526	82.6897
-76.1	76.1	100	91.3439	82.7618
-76.2	76.2	100	91.4354	82.8339
-76.3	76.3	100	91.5201	82.906
-76.4	76.4	100	91.6041	82.9782
-76.5	76.5	100	91.6689	83.0503
-76.6	76.6	100	91.7408	83.1224
-76.7	76.7	100	91.8166	83.1945
-76.8	76.8	100	91.8966	83.2667
-76.9	76.9	100	91.9601	83.3388
-77.0	77.0	100	92.0364	83.4109
-77.1	77.1	100	92.1326	83.483
-77.2	77.2	100	92.2162	83.5552
-77.3	77.3	100	92.2781	83.6273
-77.4	77.4	100	92.3295	83.6994
-77.5	77.5	100	92.3876	83.7715
-77.6	77.6	100	92.4655	83.8437
-77.7	77.7	100	92.5548	83.9158
-77.8	77.8	100	92.6472	83.9879
-77.9	77.9	100	92.7311	84.0601
-78.0	78.0	100	92.8283	84.1322
-78.1	78.1	100	92.8912	84.2043
-78.2	78.2	100	92.9593	84.2764
-78.3	78.3	100	93.0439	84.3486
-78.4	78.4	100	93.0889	84.4207
-78.5	78.5	100	93.1518	84.4928
-78.6	78.6	100	93.2298	84.5649
-78.7	78.7	100	93.2982	84.6371
-78.8	78.8	100	93.3645	84.7092
-78.9	78.9	100	93.4406	84.7813
-79.0	79.0	100	93.51	84.8534
-79.1	79.1	100	93.5858	84.9256
-79.2	79.2	100	93.6736	84.9977
-79.3	79.3	100	93.7437	85.0698
-79.4	79.4	100	93.8132	85.142
-79.5	79.5	100	93.881	85.2141
-79.6	79.6	100	93.9508	85.2862
-79.7	79.7	100	94.0056	85.3583
-79.8	79.8	100	94.0689	85.4305
-79.9	79.9	100	94.1437	85.5026
-80.0	80.0	100	94.2213	85.5747
-80.1	80.1	100	94.2662	85.6468
-80.2	80.2	100	94.3318	85.719
-80.3	80.3	100	94.41	85.7911
-80.4	80.4	100	94.4549	85.8632
-80.5	80.5	100	94.4999	85.9353
-80.6	80.6	100	94.5826	86.0075
-80.7	80.7	100	94.6215	86.0796
-80.8	80.8	100	94.6953	86.1517
-80.9	80.9	100	94.7537	86.2238
-81.0	81.0	100	94.8234	86.296
-81.1	81.1	100	94.8818	86.3681
-81.2	81.2	100	94.9577	86.4402
-81.3	81.3	100	95.0411	86.5124
-81.4	81.4	100	95.1009	86.5845
-81.5	81.5	100	95.1327	86.6566
-81.6	81.6	100	95.1951	86.7287
-81.7	81.7	100	95.2582	86.8009
-81.8	81.8	100	95.3177	86.873
-81.9	81.9	100	95.3536	86.9451
-82.0	82.0	100	95.3806	87.0172
-82.1	82.1	100	95.4255	87.0894
-82.2	82.2	100	95.4586	87.1615
-82.3	82.3	100	95.5285	87.2336
-82.4	82.4	100	95.6002	87.3057
-82.5	82.5	100	95.6511	87.3779
-82.6	82.6	100	95.7021	87.45
-82.7	82.7	100	95.7925	87.5221
-82.8	82.8	100	95.8631	87.5943
-82.9	82.9	100	95.9537	87.6664
-83.0	83.0	100	96.0187	87.7385
-83.1	83.1	100	96.0736	87.8106
-83.2	83.2	100	96.1575	87.8828
-83.3	83.3	100	96.2114	87.9549
-83.4	83.4	100	96.2484	88.027
-83.5	83.5	100	96.2821	88.0991
-83.6	83.6	100	96.3486	88.1713
-83.7	83.7	100	96.431	88.2434
-83.8	83.8	100	96.4923	88.3155
-83.9	83.9	100	96.5717	88.3876
-84.0	84.0	100	96.6511	88.4598
-84.1	84.1	100	96.7142	88.5319
-84.2	84.2	100	96.763	88.604
-84.3	84.3	100	96.7942	88.6761
-84.4	84.4	100	96.8484	88.7483
-84.5	84.5	100	96.8815	88.8204
-84.6	84.6	100	96.9444	88.8925
-84.7	84.7	100	96.9893	88.9647
-84.8	84.8	100	97.0393	89.0368
-84.9	84.9	100	97.0894	89.1089
-85.0	85.0	100	97.1349	89.181
-85.1	85.1	100	97.232	89.2532
-85.2	85.2	100	97.291	89.3253
-85.3	85.3	100	97.365	89.3974
-85.4	85.4	100	97.4161	89.4695
-85.5	85.5	100	97.4618	89.5417
-85.6	85.6	100	97.5106	89.6138
-85.7	85.7	100	97.549	89.6859
-85.8	85.8	100	97.5893	89.758
-85.9	85.9	100	97.6184	89.8302
-86.0	86.0	100	97.6438	89.9023
-86.1	86.1	100	97.67	89.9744
-86.2	86.2	100	97.6882	90.0465
-86.3	86.3	100	97.7099	90.1187
-86.4	86.4	100	97.7712	90.1908
-86.5	86.5	100	97.8161	90.2629
-86.6	86.6	100	97.8453	90.3351
-86.7	86.7	100	97.897	90.4072
-86.8	86.8	100	97.9277	90.4793
-86.9	86.9	100	98.0048	90.5514
-87.0	87.0	100	98.0595	90.6236
-87.1	87.1	100	98.1127	90.6957
-87.2	87.2	100	98.1711	90.7678
-87.3	87.3	100	98.2091	90.8399
-87.4	87.4	100	98.253	90.9121
-87.5	87.5	100	98.2969	90.9842
-87.6	87.6	100	98.3336	91.0563
-87.7	87.7	100	98.3803	91.1284
-87.8	87.8	100	98.4175	91.2006
-87.9	87.9	100	98.4468	91.2727
-88.0	88.0	100	98.4868	91.3448
-88.1	88.1	100	98.5261	91.417
-88.2	88.2	100	98.5351	91.4891
-88.3	88.3	100	98.5582	91.5612
-88.4	88.4	100	98.598	91.6333
-88.5	88.5	100	98.6267	91.7055
-88.6	88.6	100	98.6593	91.7776
-88.7	88.7	100	98.6834	91.8497
-88.8	88.8	100	98.6969	91.9218
-88.9	88.9	100	98.7164	91.994
-89.0	89.0	100	98.757	92.0661
-89.1	89.1	100	98.7957	92.1382
-89.2	89.2	100	98.8445	92.2103
-89.3	89.3	100	98.8586	92.2825
-89.4	89.4	100	98.8954	92.3546
-89.5	89.5	100	98.9215	92.4267
-89.6	89.6	100	98.9509	92.4988
-89.7	89.7	100	98.9826	92.571
-89.8	89.8	100	99.0114	92.6431
-89.9	89.9	100	99.0474	92.7152
-90.0	90.0	100	99.0653	92.7874
-90.1	90.1	100	99.1013	92.8595
-90.2	90.2	100	99.1441	92.9316
-90.3	90.3	100	99.1557	93.0037
-90.4	90.4	100	99.1904	93.0759
-90.5	90.5	100	99.2271	93.148
-90.6	90.6	100	99.2361	93.2201
-90.7	90.7	100	99.2654	93.2922
-90.8	90.8	100	99.29	93.3644
-90.9	90.9	100	99.3033	93.4365
-91.0	91.0	100	99.3139	93.5086
-91.1	91.1	100	99.3979	93.5807
-91.2	91.2	100	99.4428	93.6529
-91.3	91.3	100	99.4867	93.725
-91.4	91.4	100	99.5237	93.7971
-91.5	91.5	100	99.5436	93.8693
-91.6	91.6	100	99.5776	93.9414
-91.7	91.7	100	99.6212	94.0135
-91.8	91.8	100	99.6225	94.0856
-91.9	91.9	100	99.6405	94.1578
-92.0	92.0	100	99.6675	94.2299
-92.1	92.1	100	99.6706	94.302
-92.2	92.2	100	99.6854	94.3741
-92.3	92.3	100	99.7355	94.4463
-92.4	92.4	100	99.7843	94.5184
-92.5	92.5	100	99.8113	94.5905
-92.6	92.6	100	99.8203	94.6626
-92.7	92.7	100	99.8315	94.7348
-92.8	92.8	100	99.8562	94.8069
-92.9	92.9	100	99.8613	94.879
-93.0	93.0	100	99.8742	94.9511
-93.1	93.1	100	99.8922	95.0233
-93.2	93.2	100	99.9101	95.0954
-93.3	93.3	100	99.9281	95.1675
-93.4	93.4	100	99.9281	95.2397
-93.5	93.5	100	99.9281	95.3118
-93.6	93.6	100	99.9281	95.3839
-93.7	93.7	100	99.9281	95.456
-93.8	93.8	100	99.9281	95.5282
-93.9	93.9	100	99.9371	95.6003
-94.0	94.0	100	99.9461	95.6724
-94.1	94.1	100	99.9551	95.7445
-94.2	94.2	100	99.9551	95.8167
-94.3	94.3	100	99.9551	95.8888
-94.4	94.4	100	99.9551	95.9609
-94.5	94.5	100	99.9641	96.033
-94.6	94.6	100	99.9641	96.1052
-94.7	94.7	100	99.9641	96.1773
-94.8	94.8	100	99.9641	96.2494
-94.9	94.9	100	99.9641	96.3216
-95.0	95.0	100	99.9641	96.3937
-95.1	95.1	100	99.9641	96.4658
-95.2	95.2	100	99.9641	96.5379
-95.3	95.3	100	99.9641	96.6101
-95.4	95.4	100	99.982	96.6822
-95.5	95.5	100	99.982	96.7543
-95.6	95.6	100	99.982	96.8264
-95.7	95.7	100	99.982	96.8986
-95.8	95.8	100	99.982	96.9707
-95.9	95.9	100	99.982	97.0428
-96.0	96.0	100	99.982	97.1149
-96.1	96.1	100	99.982	97.1871
-96.2	96.2	100	99.982	97.2592
-96.3	96.3	100	99.982	97.3313
-96.4	96.4	100	99.982	97.4034
-96.5	96.5	100	99.982	97.4756
-96.6	96.6	100	99.982	97.5477
-96.7	96.7	100	99.982	97.6198
-96.8	96.8	100	99.982	97.692
-96.9	96.9	100	99.982	97.7641
-97.0	97.0	100	99.982	97.8362
-97.1	97.1	100	99.982	97.9083
-97.2	97.2	100	99.982	97.9805
-97.3	97.3	100	99.991	98.0526
-97.4	97.4	100	99.991	98.1247
-97.5	97.5	100	99.991	98.1968
-97.6	97.6	100	100	98.269
-97.7	97.7	100	100	98.3411
-97.8	97.8	100	100	98.4132
-97.9	97.9	100	100	98.4853
-98.0	98.0	100	100	98.5575
-98.1	98.1	100	100	98.6296
-98.2	98.2	100	100	98.7017
-98.3	98.3	100	100	98.7739
-98.4	98.4	100	100	98.846
-98.5	98.5	100	100	98.9181
-98.6	98.6	100	100	98.9902
-98.7	98.7	100	100	99.0624
-98.8	98.8	100	100	99.1345
-98.9	98.9	100	100	99.2066
-99.0	99.0	100	100	99.2787
-99.1	99.1	100	100	99.3509
-99.2	99.2	100	100	99.423
-99.3	99.3	100	100	99.4951
-99.4	99.4	100	100	99.5672
-99.5	99.5	100	100	99.6394
-99.6	99.6	100	100	99.7115
-99.7	99.7	100	100	99.7836
-99.8	99.8	100	100	99.8557
-99.9	99.9	100	100	99.9279
-100.0	100.0	100	100	100
-
-Lift curves	more
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.414233	0.414233	0.187588
-0.2	0.2	0.828467	0.828467	0.375176
-0.3	0.3	1.2427	1.2427	0.562764
-0.4	0.4	1.65693	1.65693	0.750352
-0.5	0.5	2.07117	2.07117	0.93794
-0.6	0.6	2.4854	2.4854	1.12553
-0.7	0.7	2.89963	2.89963	1.31312
-0.8	0.8	3.31387	3.31387	1.5007
-0.9	0.9	3.7281	3.7281	1.68829
-1.0	1.0	4.14233	4.14233	1.87588
-1.1	1.1	4.55657	4.55657	2.06347
-1.2	1.2	4.9708	4.9708	2.25106
-1.3	1.3	5.38503	5.38503	2.43864
-1.4	1.4	5.79927	5.79927	2.62623
-1.5	1.5	6.2135	6.2135	2.81382
-1.6	1.6	6.62773	6.62773	3.00141
-1.7	1.7	7.04197	7.04197	3.189
-1.8	1.8	7.4562	7.4562	3.37658
-1.9	1.9	7.87043	7.87043	3.56417
-2.0	2.0	8.28467	8.28467	3.75176
-2.1	2.1	8.6989	8.6989	3.93935
-2.2	2.2	9.11313	9.11313	4.12694
-2.3	2.3	9.52737	9.52737	4.31452
-2.4	2.4	9.9416	9.9416	4.50211
-2.5	2.5	10.3558	10.3276	4.6897
-2.6	2.6	10.7701	10.7418	4.87729
-2.7	2.7	11.1843	11.1561	5.06487
-2.8	2.8	11.5985	11.5421	5.25246
-2.9	2.9	12.0128	11.9563	5.44005
-3.0	3.0	12.427	12.3705	5.62764
-3.1	3.1	12.8412	12.7848	5.81523
-3.2	3.2	13.2555	13.199	6.00281
-3.3	3.3	13.6697	13.6132	6.1904
-3.4	3.4	14.0839	14.0274	6.37799
-3.5	3.5	14.4982	14.4417	6.56558
-3.6	3.6	14.9124	14.8559	6.75317
-3.7	3.7	15.3266	15.2701	6.94075
-3.8	3.8	15.7409	15.6844	7.12834
-3.9	3.9	16.1551	16.0986	7.31593
-4.0	4.0	16.5693	16.5128	7.50352
-4.1	4.1	16.9836	16.9271	7.69111
-4.2	4.2	17.3978	17.3413	7.87869
-4.3	4.3	17.812	17.7555	8.06628
-4.4	4.4	18.2263	18.1698	8.25387
-4.5	4.5	18.6405	18.584	8.44146
-4.6	4.6	19.0547	18.9982	8.62905
-4.7	4.7	19.469	19.356	8.81663
-4.8	4.8	19.8832	19.7702	9.00422
-4.9	4.9	20.2974	20.1845	9.19181
-5.0	5.0	20.7117	20.5987	9.3794
-5.1	5.1	21.1259	21.0129	9.56699
-5.2	5.2	21.5401	21.4272	9.75457
-5.3	5.3	21.9544	21.8414	9.94216
-5.4	5.4	22.3686	22.2556	10.1297
-5.5	5.5	22.7828	22.6699	10.3173
-5.6	5.6	23.1971	23.0559	10.5049
-5.7	5.7	23.6113	23.4701	10.6925
-5.8	5.8	24.0255	23.8843	10.8801
-5.9	5.9	24.4398	24.2986	11.0677
-6.0	6.0	24.854	24.6846	11.2553
-6.1	6.1	25.2682	25.0705	11.4429
-6.2	6.2	25.6825	25.4565	11.6305
-6.3	6.3	26.0967	25.8708	11.818
-6.4	6.4	26.5109	26.285	12.0056
-6.5	6.5	26.9252	26.6992	12.1932
-6.6	6.6	27.3394	27.1135	12.3808
-6.7	6.7	27.7536	27.5277	12.5684
-6.8	6.8	28.1679	27.8855	12.756
-6.9	6.9	28.5821	28.2432	12.9436
-7.0	7.0	28.9963	28.601	13.1312
-7.1	7.1	29.4106	28.9749	13.3187
-7.2	7.2	29.8248	29.3729	13.5063
-7.3	7.3	30.239	29.7095	13.6939
-7.4	7.4	30.6533	30.0884	13.8815
-7.5	7.5	31.0675	30.4744	14.0691
-7.6	7.6	31.4817	30.804	14.2567
-7.7	7.7	31.896	31.0647	14.4443
-7.8	7.8	32.3102	31.3218	14.6319
-7.9	7.9	32.7244	31.6895	14.8194
-8.0	8.0	33.1387	32.0938	15.007
-8.1	8.1	33.5529	32.4233	15.1946
-8.2	8.2	33.9671	32.781	15.3822
-8.3	8.3	34.3814	33.1911	15.5698
-8.4	8.4	34.7956	33.4683	15.7574
-8.5	8.5	35.2098	33.7758	15.945
-8.6	8.6	35.6241	34.1273	16.1326
-8.7	8.7	36.0383	34.4253	16.3202
-8.8	8.8	36.4525	34.7016	16.5077
-8.9	8.9	36.8668	34.9746	16.6953
-9.0	9.0	37.281	35.1251	16.8829
-9.1	9.1	37.6952	35.5061	17.0705
-9.2	9.2	38.1095	35.8785	17.2581
-9.3	9.3	38.5237	36.2153	17.4457
-9.4	9.4	38.9379	36.5375	17.6333
-9.5	9.5	39.3522	36.9235	17.8209
-9.6	9.6	39.7664	37.2223	18.0084
-9.7	9.7	40.1806	37.5275	18.196
-9.8	9.8	40.5949	37.9055	18.3836
-9.9	9.9	41.0091	38.185	18.5712
-10.0	10.0	41.4233	38.4863	18.7588
-10.1	10.1	41.8376	38.8441	18.9464
-10.2	10.2	42.2518	39.1453	19.134
-10.3	10.3	42.666	39.4692	19.3216
-10.4	10.4	43.0803	39.7836	19.5091
-10.5	10.5	43.4945	40.1056	19.6967
-10.6	10.6	43.9087	40.4378	19.8843
-10.7	10.7	44.323	40.7364	20.0719
-10.8	10.8	44.7372	41.1062	20.2595
-10.9	10.9	45.1514	41.3672	20.4471
-11.0	11.0	45.5657	41.6598	20.6347
-11.1	11.1	45.9799	41.9463	20.8223
-11.2	11.2	46.3941	42.2992	21.0099
-11.3	11.3	46.8084	42.6712	21.1974
-11.4	11.4	47.2226	43.0098	21.385
-11.5	11.5	47.6368	43.3215	21.5726
-11.6	11.6	48.0511	43.6455	21.7602
-11.7	11.7	48.4653	43.9348	21.9478
-11.8	11.8	48.8795	44.2763	22.1354
-11.9	11.9	49.2938	44.6623	22.323
-12.0	12.0	49.708	44.9529	22.5106
-12.1	12.1	50.1222	45.2415	22.6981
-12.2	12.2	50.5365	45.5638	22.8857
-12.3	12.3	50.9507	45.861	23.0733
-12.4	12.4	51.3649	46.1287	23.2609
-12.5	12.5	51.7792	46.4276	23.4485
-12.6	12.6	52.1934	46.7037	23.6361
-12.7	12.7	52.6076	46.9799	23.8237
-12.8	12.8	53.0219	47.2748	24.0113
-12.9	12.9	53.4361	47.5056	24.1988
-13.0	13.0	53.8503	47.7526	24.3864
-13.1	13.1	54.2646	47.995	24.574
-13.2	13.2	54.6788	48.1668	24.7616
-13.3	13.3	55.093	48.4847	24.9492
-13.4	13.4	55.5073	48.7364	25.1368
-13.5	13.5	55.9215	49.059	25.3244
-13.6	13.6	56.3357	49.3321	25.512
-13.7	13.7	56.75	49.5537	25.6996
-13.8	13.8	57.1642	49.8998	25.8871
-13.9	13.9	57.5784	50.2566	26.0747
-14.0	14.0	57.9927	50.5887	26.2623
-14.1	14.1	58.4069	50.9231	26.4499
-14.2	14.2	58.8211	51.246	26.6375
-14.3	14.3	59.2354	51.5335	26.8251
-14.4	14.4	59.6496	51.8269	27.0127
-14.5	14.5	60.0638	52.0878	27.2003
-14.6	14.6	60.4781	52.3586	27.3878
-14.7	14.7	60.8923	52.6123	27.5754
-14.8	14.8	61.3065	52.7939	27.763
-14.9	14.9	61.7208	53.0226	27.9506
-15.0	15.0	62.135	53.1319	28.1382
-15.1	15.1	62.5492	53.403	28.3258
-15.2	15.2	62.9635	53.66	28.5134
-15.3	15.3	63.3777	53.9171	28.701
-15.4	15.4	63.7919	54.1901	28.8885
-15.5	15.5	64.2062	54.4067	29.0761
-15.6	15.6	64.6204	54.7169	29.2637
-15.7	15.7	65.0346	54.9609	29.4513
-15.8	15.8	65.4489	55.2771	29.6389
-15.9	15.9	65.8631	55.5382	29.8265
-16.0	16.0	66.2773	55.7541	30.0141
-16.1	16.1	66.6916	55.9186	30.2017
-16.2	16.2	67.1058	56.0834	30.3892
-16.3	16.3	67.52	56.3049	30.5768
-16.4	16.4	67.9343	56.4603	30.7644
-16.5	16.5	68.3485	56.6657	30.952
-16.6	16.6	68.7627	56.9738	31.1396
-16.7	16.7	69.177	57.272	31.3272
-16.8	16.8	69.5912	57.5167	31.5148
-16.9	16.9	70.0054	57.6673	31.7024
-17.0	17.0	70.4197	57.9091	31.89
-17.1	17.1	70.8339	58.1192	32.0775
-17.2	17.2	71.2481	58.2485	32.2651
-17.3	17.3	71.6624	58.4409	32.4527
-17.4	17.4	72.0766	58.571	32.6403
-17.5	17.5	72.4908	58.8252	32.8279
-17.6	17.6	72.9051	59.0794	33.0155
-17.7	17.7	73.3193	59.2684	33.2031
-17.8	17.8	73.7335	59.4631	33.3907
-17.9	17.9	74.1478	59.7733	33.5782
-18.0	18.0	74.562	60.0463	33.7658
-18.1	18.1	74.9762	60.3758	33.9534
-18.2	18.2	75.3905	60.6771	34.141
-18.3	18.3	75.8047	60.9043	34.3286
-18.4	18.4	76.2189	61.1204	34.5162
-18.5	18.5	76.6332	61.3386	34.7038
-18.6	18.6	77.0474	61.6528	34.8914
-18.7	18.7	77.4616	61.879	35.0789
-18.8	18.8	77.8759	62.0313	35.2665
-18.9	18.9	78.2901	62.207	35.4541
-19.0	19.0	78.7043	62.4377	35.6417
-19.1	19.1	79.1186	62.633	35.8293
-19.2	19.2	79.5328	62.8636	36.0169
-19.3	19.3	79.947	63.0461	36.2045
-19.4	19.4	80.3613	63.3379	36.3921
-19.5	19.5	80.7755	63.4922	36.5797
-19.6	19.6	81.1897	63.7653	36.7672
-19.7	19.7	81.604	64.0383	36.9548
-19.8	19.8	82.0182	64.2069	37.1424
-19.9	19.9	82.4324	64.4149	37.33
-20.0	20.0	82.8467	64.6879	37.5176
-20.1	20.1	83.2609	64.8583	37.7052
-20.2	20.2	83.6751	65.0375	37.8928
-20.3	20.3	84.0894	65.2529	38.0804
-20.4	20.4	84.5036	65.4951	38.2679
-20.5	20.5	84.9178	65.6899	38.4555
-20.6	20.6	85.3321	65.8912	38.6431
-20.7	20.7	85.7463	66.0869	38.8307
-20.8	20.8	86.1605	66.2807	39.0183
-20.9	20.9	86.5748	66.4192	39.2059
-21.0	21.0	86.989	66.5951	39.3935
-21.1	21.1	87.4032	66.7913	39.5811
-21.2	21.2	87.8175	66.9664	39.7686
-21.3	21.3	88.2317	67.1723	39.9562
-21.4	21.4	88.6459	67.3718	40.1438
-21.5	21.5	89.0602	67.5408	40.3314
-21.6	21.6	89.4744	67.7574	40.519
-21.7	21.7	89.8886	68.0304	40.7066
-21.8	21.8	90.3029	68.1787	40.8942
-21.9	21.9	90.7171	68.3788	41.0818
-22.0	22.0	91.1313	68.5956	41.2694
-22.1	22.1	91.5456	68.7042	41.4569
-22.2	22.2	91.9598	68.8548	41.6445
-22.3	22.3	92.374	68.9787	41.8321
-22.4	22.4	92.7883	69.1124	42.0197
-22.5	22.5	93.2025	69.2819	42.2073
-22.6	22.6	93.6167	69.5136	42.3949
-22.7	22.7	94.031	69.7663	42.5825
-22.8	22.8	94.4452	69.986	42.7701
-22.9	22.9	94.8594	70.1373	42.9576
-23.0	23.0	95.2737	70.2494	43.1452
-23.1	23.1	95.6879	70.4239	43.3328
-23.2	23.2	96.1021	70.6386	43.5204
-23.3	23.3	96.5164	70.8013	43.708
-23.4	23.4	96.9306	70.9775	43.8956
-23.5	23.5	97.3448	71.1658	44.0832
-23.6	23.6	97.7591	71.3762	44.2708
-23.7	23.7	98.1733	71.5265	44.4583
-23.8	23.8	98.5875	71.6747	44.6459
-23.9	23.9	99.0018	71.8014	44.8335
-24.0	24.0	99.416	71.9288	45.0211
-24.1	24.1	99.8302	72.07	45.2087
-24.2	24.2	100	72.2395	45.3963
-24.3	24.3	100	72.4372	45.5839
-24.4	24.4	100	72.5499	45.7715
-24.5	24.5	100	72.6535	45.959
-24.6	24.6	100	72.8136	46.1466
-24.7	24.7	100	73.002	46.3342
-24.8	24.8	100	73.1432	46.5218
-24.9	24.9	100	73.202	46.7094
-25.0	25.0	100	73.3427	46.897
-25.1	25.1	100	73.5298	47.0846
-25.2	25.2	100	73.6692	47.2722
-25.3	25.3	100	73.8107	47.4598
-25.4	25.4	100	74.0213	47.6473
-25.5	25.5	100	74.1034	47.8349
-25.6	25.6	100	74.2487	48.0225
-25.7	25.7	100	74.4613	48.2101
-25.8	25.8	100	74.6214	48.3977
-25.9	25.9	100	74.7532	48.5853
-26.0	26.0	100	74.9461	48.7729
-26.1	26.1	100	75.0635	48.9605
-26.2	26.2	100	75.233	49.148
-26.3	26.3	100	75.3816	49.3356
-26.4	26.4	100	75.5719	49.5232
-26.5	26.5	100	75.7696	49.7108
-26.6	26.6	100	75.8543	49.8984
-26.7	26.7	100	75.8825	50.086
-26.8	26.8	100	75.9321	50.2736
-26.9	26.9	100	76.003	50.4612
-27.0	27.0	100	76.1118	50.6487
-27.1	27.1	100	76.2214	50.8363
-27.2	27.2	100	76.354	51.0239
-27.3	27.3	100	76.5308	51.2115
-27.4	27.4	100	76.6737	51.3991
-27.5	27.5	100	76.9828	51.5867
-27.6	27.6	100	77.1658	51.7743
-27.7	27.7	100	77.3023	51.9619
-27.8	27.8	100	77.4388	52.1495
-27.9	27.9	100	77.5753	52.337
-28.0	28.0	100	77.7118	52.5246
-28.1	28.1	100	77.8483	52.7122
-28.2	28.2	100	78.0059	52.8998
-28.3	28.3	100	78.2351	53.0874
-28.4	28.4	100	78.4658	53.275
-28.5	28.5	100	78.617	53.4626
-28.6	28.6	100	78.8128	53.6502
-28.7	28.7	100	78.9325	53.8377
-28.8	28.8	100	79.0791	54.0253
-28.9	28.9	100	79.1584	54.2129
-29.0	29.0	100	79.2714	54.4005
-29.1	29.1	100	79.4083	54.5881
-29.2	29.2	100	79.5256	54.7757
-29.3	29.3	100	79.6709	54.9633
-29.4	29.4	100	79.7732	55.1509
-29.5	29.5	100	79.8113	55.3384
-29.6	29.6	100	79.8888	55.526
-29.7	29.7	100	80.0056	55.7136
-29.8	29.8	100	80.1204	55.9012
-29.9	29.9	100	80.2752	56.0888
-30.0	30.0	100	80.4054	56.2764
-30.1	30.1	100	80.5356	56.464
-30.2	30.2	100	80.6657	56.6516
-30.3	30.3	100	80.7959	56.8392
-30.4	30.4	100	80.9313	57.0267
-30.5	30.5	100	81.0866	57.2143
-30.6	30.6	100	81.2482	57.4019
-30.7	30.7	100	81.3916	57.5895
-30.8	30.8	100	81.6082	57.7771
-30.9	30.9	100	81.7001	57.9647
-31.0	31.0	100	81.813	58.1523
-31.1	31.1	100	82.039	58.3399
-31.2	31.2	100	82.0672	58.5274
-31.3	31.3	100	82.1313	58.715
-31.4	31.4	100	82.3096	58.9026
-31.5	31.5	100	82.3779	59.0902
-31.6	31.6	100	82.4651	59.2778
-31.7	31.7	100	82.6038	59.4654
-31.8	31.8	100	82.8141	59.653
-31.9	31.9	100	82.9992	59.8406
-32.0	32.0	100	83.1121	60.0281
-32.1	32.1	100	83.2533	60.2157
-32.2	32.2	100	83.2816	60.4033
-32.3	32.3	100	83.3537	60.5909
-32.4	32.4	100	83.4792	60.7785
-32.5	32.5	100	83.6141	60.9661
-32.6	32.6	100	83.7496	61.1537
-32.7	32.7	100	83.8626	61.3413
-32.8	32.8	100	83.9755	61.5289
-32.9	32.9	100	84.1245	61.7164
-33.0	33.0	100	84.27	61.904
-33.1	33.1	100	84.3421	62.0916
-33.2	33.2	100	84.4529	62.2792
-33.3	33.3	100	84.5524	62.4668
-33.4	33.4	100	84.662	62.6544
-33.5	33.5	100	84.7218	62.842
-33.6	33.6	100	84.8066	63.0296
-33.7	33.7	100	84.8608	63.2171
-33.8	33.8	100	84.948	63.4047
-33.9	33.9	100	85.0452	63.5923
-34.0	34.0	100	85.1454	63.7799
-34.1	34.1	100	85.1737	63.9675
-34.2	34.2	100	85.2866	64.1551
-34.3	34.3	100	85.3158	64.3427
-34.4	34.4	100	85.4278	64.5303
-34.5	34.5	100	85.4973	64.7178
-34.6	34.6	100	85.5985	64.9054
-34.7	34.7	100	85.7103	65.093
-34.8	34.8	100	85.8828	65.2806
-34.9	34.9	100	86.0153	65.4682
-35.0	35.0	100	86.1	65.6558
-35.1	35.1	100	86.1621	65.8434
-35.2	35.2	100	86.2751	66.031
-35.3	35.3	100	86.3315	66.2185
-35.4	35.4	100	86.388	66.4061
-35.5	35.5	100	86.4082	66.5937
-35.6	35.6	100	86.4163	66.7813
-35.7	35.7	100	86.5857	66.9689
-35.8	35.8	100	86.7148	67.1565
-35.9	35.9	100	86.8399	67.3441
-36.0	36.0	100	86.9455	67.5317
-36.1	36.1	100	87.0668	67.7193
-36.2	36.2	100	87.1498	67.9068
-36.3	36.3	100	87.2421	68.0944
-36.4	36.4	100	87.409	68.282
-36.5	36.5	100	87.5126	68.4696
-36.6	36.6	100	87.5768	68.6572
-36.7	36.7	100	87.6068	68.8448
-36.8	36.8	100	87.7386	69.0324
-36.9	36.9	100	87.8283	69.22
-37.0	37.0	100	87.8565	69.4075
-37.1	37.1	100	88.0542	69.5951
-37.2	37.2	100	88.1389	69.7827
-37.3	37.3	100	88.1954	69.9703
-37.4	37.4	100	88.3036	70.1579
-37.5	37.5	100	88.3154	70.3455
-37.6	37.6	100	88.4768	70.5331
-37.7	37.7	100	88.6473	70.7207
-37.8	37.8	100	88.7602	70.9082
-37.9	37.9	100	88.8167	71.0958
-38.0	38.0	100	88.8732	71.2834
-38.1	38.1	100	88.9565	71.471
-38.2	38.2	100	89.0426	71.6586
-38.3	38.3	100	89.0991	71.8462
-38.4	38.4	100	89.1274	72.0338
-38.5	38.5	100	89.2121	72.2214
-38.6	38.6	100	89.2208	72.409
-38.7	38.7	100	89.2971	72.5965
-38.8	38.8	100	89.4663	72.7841
-38.9	38.9	100	89.575	72.9717
-39.0	39.0	100	89.6331	73.1593
-39.1	39.1	100	89.6639	73.3469
-39.2	39.2	100	89.7607	73.5345
-39.3	39.3	100	89.8899	73.7221
-39.4	39.4	100	89.9746	73.9097
-39.5	39.5	100	90.041	74.0972
-39.6	39.6	100	90.1025	74.2848
-39.7	39.7	100	90.2287	74.4724
-39.8	39.8	100	90.3096	74.66
-39.9	39.9	100	90.3417	74.8476
-40.0	40.0	100	90.37	75.0352
-40.1	40.1	100	90.4749	75.2228
-40.2	40.2	100	90.5876	75.4104
-40.3	40.3	100	90.6581	75.5979
-40.4	40.4	100	90.7698	75.7855
-40.5	40.5	100	90.8505	75.9731
-40.6	40.6	100	90.963	76.1607
-40.7	40.7	100	91.0539	76.3483
-40.8	40.8	100	91.1042	76.5359
-40.9	40.9	100	91.1102	76.7235
-41.0	41.0	100	91.2737	76.9111
-41.1	41.1	100	91.3584	77.0987
-41.2	41.2	100	91.3886	77.2862
-41.3	41.3	100	91.4917	77.4738
-41.4	41.4	100	91.6125	77.6614
-41.5	41.5	100	91.669	77.849
-41.6	41.6	100	91.7788	78.0366
-41.7	41.7	100	91.8824	78.2242
-41.8	41.8	100	91.8949	78.4118
-41.9	41.9	100	91.9484	78.5994
-42.0	42.0	100	91.9964	78.7869
-42.1	42.1	100	92.0644	78.9745
-42.2	42.2	100	92.1464	79.1621
-42.3	42.3	100	92.2056	79.3497
-42.4	42.4	100	92.3186	79.5373
-42.5	42.5	100	92.4033	79.7249
-42.6	42.6	100	92.4107	79.9125
-42.7	42.7	100	92.4315	80.1001
-42.8	42.8	100	92.488	80.2876
-42.9	42.9	100	92.5162	80.4752
-43.0	43.0	100	92.5515	80.6628
-43.1	43.1	100	92.6849	80.8504
-43.2	43.2	100	92.7392	81.038
-43.3	43.3	100	92.7986	81.2256
-43.4	43.4	100	92.8269	81.4132
-43.5	43.5	100	92.8269	81.6008
-43.6	43.6	100	92.8498	81.7883
-43.7	43.7	100	92.9116	81.9759
-43.8	43.8	100	92.9963	82.1635
-43.9	43.9	100	93.0528	82.3511
-44.0	44.0	100	93.1375	82.5387
-44.1	44.1	100	93.1824	82.7263
-44.2	44.2	100	93.2792	82.9139
-44.3	44.3	100	93.3051	83.1015
-44.4	44.4	100	93.3352	83.2891
-44.5	44.5	100	93.4482	83.4766
-44.6	44.6	100	93.5047	83.6642
-44.7	44.7	100	93.5611	83.8518
-44.8	44.8	100	93.6474	84.0394
-44.9	44.9	100	93.7023	84.227
-45.0	45.0	100	93.7023	84.4146
-45.1	45.1	100	93.7871	84.6022
-45.2	45.2	100	93.7871	84.6731
-45.3	45.3	100	93.8087	84.7173
-45.4	45.4	100	93.8718	84.7615
-45.5	45.5	100	93.9283	84.8057
-45.6	45.6	100	93.9848	84.8499
-45.7	45.7	100	94.013	84.894
-45.8	45.8	100	94.0412	84.9382
-45.9	45.9	100	94.0977	84.9824
-46.0	46.0	100	94.126	85.0266
-46.1	46.1	100	94.1824	85.0708
-46.2	46.2	100	94.1824	85.115
-46.3	46.3	100	94.2107	85.1592
-46.4	46.4	100	94.2389	85.2034
-46.5	46.5	100	94.2672	85.2476
-46.6	46.6	100	94.2954	85.2918
-46.7	46.7	100	94.2954	85.336
-46.8	46.8	100	94.3236	85.3802
-46.9	46.9	100	94.3801	85.4244
-47.0	47.0	100	94.408	85.4686
-47.1	47.1	100	94.4826	85.5128
-47.2	47.2	100	94.5213	85.557
-47.3	47.3	100	94.5496	85.6012
-47.4	47.4	100	94.5496	85.6454
-47.5	47.5	100	94.5787	85.6896
-47.6	47.6	100	94.606	85.7338
-47.7	47.7	100	94.6625	85.7779
-47.8	47.8	100	94.7472	85.8221
-47.9	47.9	100	94.8037	85.8663
-48.0	48.0	100	94.8884	85.9105
-48.1	48.1	100	94.9449	85.9547
-48.2	48.2	100	95.0297	85.9989
-48.3	48.3	100	95.1426	86.0431
-48.4	48.4	100	95.1991	86.0873
-48.5	48.5	100	95.2556	86.1315
-48.6	48.6	100	95.3121	86.1757
-48.7	48.7	100	95.3685	86.2199
-48.8	48.8	100	95.3685	86.2641
-48.9	48.9	100	95.3968	86.3083
-49.0	49.0	100	95.4533	86.3525
-49.1	49.1	100	95.4815	86.3967
-49.2	49.2	100	95.4815	86.4409
-49.3	49.3	100	95.5097	86.4851
-49.4	49.4	100	95.5097	86.5293
-49.5	49.5	100	95.538	86.5735
-49.6	49.6	100	95.6037	86.6177
-49.7	49.7	100	95.6509	86.6618
-49.8	49.8	100	95.6792	86.706
-49.9	49.9	100	95.7074	86.7502
-50.0	50.0	100	95.7357	86.7944
-50.1	50.1	100	95.7921	86.8386
-50.2	50.2	100	95.8204	86.8828
-50.3	50.3	100	95.8534	86.927
-50.4	50.4	100	95.8769	86.9712
-50.5	50.5	100	95.8769	87.0154
-50.6	50.6	100	95.9334	87.0596
-50.7	50.7	100	95.9334	87.1038
-50.8	50.8	100	95.9898	87.148
-50.9	50.9	100	95.9898	87.1922
-51.0	51.0	100	96.0181	87.2364
-51.1	51.1	100	96.0181	87.2806
-51.2	51.2	100	96.0181	87.3248
-51.3	51.3	100	96.0463	87.369
-51.4	51.4	100	96.131	87.4132
-51.5	51.5	100	96.1593	87.4574
-51.6	51.6	100	96.1875	87.5016
-51.7	51.7	100	96.1875	87.5458
-51.8	51.8	100	96.244	87.5899
-51.9	51.9	100	96.2635	87.6341
-52.0	52.0	100	96.3005	87.6783
-52.1	52.1	100	96.3287	87.7225
-52.2	52.2	100	96.357	87.7667
-52.3	52.3	100	96.3852	87.8109
-52.4	52.4	100	96.4163	87.8551
-52.5	52.5	100	96.4699	87.8993
-52.6	52.6	100	96.4982	87.9435
-52.7	52.7	100	96.5546	87.9877
-52.8	52.8	100	96.5546	88.0319
-52.9	52.9	100	96.5546	88.0761
-53.0	53.0	100	96.5829	88.1203
-53.1	53.1	100	96.5829	88.1645
-53.2	53.2	100	96.6111	88.2087
-53.3	53.3	100	96.6394	88.2529
-53.4	53.4	100	96.6676	88.2971
-53.5	53.5	100	96.6676	88.3413
-53.6	53.6	100	96.6676	88.3855
-53.7	53.7	100	96.6958	88.4297
-53.8	53.8	100	96.7067	88.4738
-53.9	53.9	100	96.7806	88.518
-54.0	54.0	100	96.8371	88.5622
-54.1	54.1	100	96.8653	88.6064
-54.2	54.2	100	96.8653	88.6506
-54.3	54.3	100	96.8653	88.6948
-54.4	54.4	100	96.8653	88.739
-54.5	54.5	100	96.9218	88.7832
-54.6	54.6	100	96.9218	88.8274
-54.7	54.7	100	96.95	88.8716
-54.8	54.8	100	96.9783	88.9158
-54.9	54.9	100	97.0065	88.96
-55.0	55.0	100	97.0347	89.0042
-55.1	55.1	100	97.063	89.0484
-55.2	55.2	100	97.1195	89.0926
-55.3	55.3	100	97.1195	89.1368
-55.4	55.4	100	97.1477	89.181
-55.5	55.5	100	97.1759	89.2252
-55.6	55.6	100	97.2889	89.2694
-55.7	55.7	100	97.3454	89.3136
-55.8	55.8	100	97.4019	89.3577
-55.9	55.9	100	97.4019	89.4019
-56.0	56.0	100	97.4583	89.4461
-56.1	56.1	100	97.4583	89.4903
-56.2	56.2	100	97.4583	89.5345
-56.3	56.3	100	97.5431	89.5787
-56.4	56.4	100	97.5431	89.6229
-56.5	56.5	100	97.5995	89.6671
-56.6	56.6	100	97.5995	89.7113
-56.7	56.7	100	97.5995	89.7555
-56.8	56.8	100	97.6398	89.7997
-56.9	56.9	100	97.656	89.8439
-57.0	57.0	100	97.6843	89.8881
-57.1	57.1	100	97.7408	89.9323
-57.2	57.2	100	97.7408	89.9765
-57.3	57.3	100	97.769	90.0207
-57.4	57.4	100	97.8255	90.0649
-57.5	57.5	100	97.8537	90.1091
-57.6	57.6	100	97.8537	90.1533
-57.7	57.7	100	97.8537	90.1975
-57.8	57.8	100	97.8923	90.2417
-57.9	57.9	100	97.9102	90.2858
-58.0	58.0	100	97.9384	90.33
-58.1	58.1	100	97.9949	90.3742
-58.2	58.2	100	97.9949	90.4184
-58.3	58.3	100	97.9949	90.4626
-58.4	58.4	100	98.0514	90.5068
-58.5	58.5	100	98.0828	90.551
-58.6	58.6	100	98.1079	90.5952
-58.7	58.7	100	98.1079	90.6394
-58.8	58.8	100	98.1247	90.6836
-58.9	58.9	100	98.1644	90.7278
-59.0	59.0	100	98.1644	90.772
-59.1	59.1	100	98.1644	90.8162
-59.2	59.2	100	98.1644	90.8604
-59.3	59.3	100	98.1644	90.9046
-59.4	59.4	100	98.1644	90.9488
-59.5	59.5	100	98.2208	90.993
-59.6	59.6	100	98.3056	91.0372
-59.7	59.7	100	98.3563	91.0814
-59.8	59.8	100	98.362	91.1256
-59.9	59.9	100	98.362	91.1697
-60.0	60.0	100	98.3846	91.2139
-60.1	60.1	100	98.3903	91.2581
-60.2	60.2	100	98.3903	91.3023
-60.3	60.3	100	98.3903	91.3465
-60.4	60.4	100	98.3903	91.3907
-60.5	60.5	100	98.4468	91.4349
-60.6	60.6	100	98.4468	91.4791
-60.7	60.7	100	98.4468	91.5233
-60.8	60.8	100	98.475	91.5675
-60.9	60.9	100	98.5032	91.6117
-61.0	61.0	100	98.5032	91.6559
-61.1	61.1	100	98.5315	91.7001
-61.2	61.2	100	98.5315	91.7443
-61.3	61.3	100	98.5315	91.7885
-61.4	61.4	100	98.5315	91.8327
-61.5	61.5	100	98.5597	91.8769
-61.6	61.6	100	98.5597	91.9211
-61.7	61.7	100	98.5597	91.9653
-61.8	61.8	100	98.5597	92.0095
-61.9	61.9	100	98.5597	92.0536
-62.0	62.0	100	98.5597	92.0978
-62.1	62.1	100	98.5597	92.142
-62.2	62.2	100	98.5597	92.1862
-62.3	62.3	100	98.588	92.2304
-62.4	62.4	100	98.6115	92.2746
-62.5	62.5	100	98.6394	92.3188
-62.6	62.6	100	98.645	92.363
-62.7	62.7	100	98.7009	92.4072
-62.8	62.8	100	98.7433	92.4514
-62.9	62.9	100	98.7623	92.4956
-63.0	63.0	100	98.8139	92.5398
-63.1	63.1	100	98.8139	92.584
-63.2	63.2	100	98.8471	92.6282
-63.3	63.3	100	98.8704	92.6724
-63.4	63.4	100	98.8704	92.7166
-63.5	63.5	100	98.8704	92.7608
-63.6	63.6	100	98.8704	92.805
-63.7	63.7	100	98.8986	92.8492
-63.8	63.8	100	98.8986	92.8934
-63.9	63.9	100	98.8986	92.9375
-64.0	64.0	100	98.8986	92.9817
-64.1	64.1	100	98.9269	93.0259
-64.2	64.2	100	98.9269	93.0701
-64.3	64.3	100	98.9269	93.1143
-64.4	64.4	100	98.9287	93.1585
-64.5	64.5	100	98.9551	93.2027
-64.6	64.6	100	98.9833	93.2469
-64.7	64.7	100	98.9833	93.2911
-64.8	64.8	100	98.9833	93.3353
-64.9	64.9	100	98.9833	93.3795
-65.0	65.0	100	99.0116	93.4237
-65.1	65.1	100	99.0398	93.4679
-65.2	65.2	100	99.0681	93.5121
-65.3	65.3	100	99.0681	93.5563
-65.4	65.4	100	99.0681	93.6005
-65.5	65.5	100	99.0963	93.6447
-65.6	65.6	100	99.0963	93.6889
-65.7	65.7	100	99.0963	93.7331
-65.8	65.8	100	99.1245	93.7773
-65.9	65.9	100	99.1245	93.8215
-66.0	66.0	100	99.1528	93.8656
-66.1	66.1	100	99.181	93.9098
-66.2	66.2	100	99.181	93.954
-66.3	66.3	100	99.181	93.9982
-66.4	66.4	100	99.181	94.0424
-66.5	66.5	100	99.181	94.0866
-66.6	66.6	100	99.181	94.1308
-66.7	66.7	100	99.181	94.175
-66.8	66.8	100	99.181	94.2192
-66.9	66.9	100	99.2345	94.2634
-67.0	67.0	100	99.294	94.3076
-67.1	67.1	100	99.294	94.3518
-67.2	67.2	100	99.294	94.396
-67.3	67.3	100	99.3222	94.4402
-67.4	67.4	100	99.3222	94.4844
-67.5	67.5	100	99.3787	94.5286
-67.6	67.6	100	99.3787	94.5728
-67.7	67.7	100	99.3787	94.617
-67.8	67.8	100	99.3787	94.6612
-67.9	67.9	100	99.4069	94.7054
-68.0	68.0	100	99.4069	94.7495
-68.1	68.1	100	99.4069	94.7937
-68.2	68.2	100	99.4069	94.8379
-68.3	68.3	100	99.4069	94.8821
-68.4	68.4	100	99.4634	94.9263
-68.5	68.5	100	99.4634	94.9705
-68.6	68.6	100	99.4634	95.0147
-68.7	68.7	100	99.4634	95.0589
-68.8	68.8	100	99.4634	95.1031
-68.9	68.9	100	99.4634	95.1473
-69.0	69.0	100	99.4634	95.1915
-69.1	69.1	100	99.4917	95.2357
-69.2	69.2	100	99.4917	95.2799
-69.3	69.3	100	99.4917	95.3241
-69.4	69.4	100	99.4917	95.3683
-69.5	69.5	100	99.4917	95.4125
-69.6	69.6	100	99.4917	95.4567
-69.7	69.7	100	99.5199	95.5009
-69.8	69.8	100	99.5199	95.5451
-69.9	69.9	100	99.5199	95.5893
-70.0	70.0	100	99.5199	95.6334
-70.1	70.1	100	99.5199	95.6776
-70.2	70.2	100	99.5482	95.7218
-70.3	70.3	100	99.5482	95.766
-70.4	70.4	100	99.5482	95.8102
-70.5	70.5	100	99.5482	95.8544
-70.6	70.6	100	99.5764	95.8986
-70.7	70.7	100	99.5764	95.9428
-70.8	70.8	100	99.5764	95.987
-70.9	70.9	100	99.5764	96.0312
-71.0	71.0	100	99.6329	96.075
-71.1	71.1	100	99.6329	96.0982
-71.2	71.2	100	99.6329	96.1213
-71.3	71.3	100	99.6329	96.1445
-71.4	71.4	100	99.6329	96.1677
-71.5	71.5	100	99.6329	96.1908
-71.6	71.6	100	99.6329	96.214
-71.7	71.7	100	99.6329	96.2372
-71.8	71.8	100	99.6329	96.2603
-71.9	71.9	100	99.6329	96.2835
-72.0	72.0	100	99.6329	96.3067
-72.1	72.1	100	99.6611	96.3298
-72.2	72.2	100	99.6611	96.353
-72.3	72.3	100	99.6611	96.3762
-72.4	72.4	100	99.6611	96.3993
-72.5	72.5	100	99.6611	96.4225
-72.6	72.6	100	99.6611	96.4457
-72.7	72.7	100	99.6611	96.4689
-72.8	72.8	100	99.6894	96.492
-72.9	72.9	100	99.6894	96.5152
-73.0	73.0	100	99.6894	96.5384
-73.1	73.1	100	99.6894	96.5615
-73.2	73.2	100	99.6894	96.5847
-73.3	73.3	100	99.7433	96.6079
-73.4	73.4	100	99.7458	96.631
-73.5	73.5	100	99.7458	96.6542
-73.6	73.6	100	99.7458	96.6774
-73.7	73.7	100	99.7458	96.7005
-73.8	73.8	100	99.7458	96.7237
-73.9	73.9	100	99.7458	96.7469
-74.0	74.0	100	99.7458	96.77
-74.1	74.1	100	99.7741	96.7932
-74.2	74.2	100	99.8023	96.8164
-74.3	74.3	100	99.8023	96.8395
-74.4	74.4	100	99.8023	96.8627
-74.5	74.5	100	99.8023	96.8859
-74.6	74.6	100	99.8306	96.909
-74.7	74.7	100	99.8306	96.9322
-74.8	74.8	100	99.8306	96.9554
-74.9	74.9	100	99.8306	96.9786
-75.0	75.0	100	99.8306	97.0017
-75.1	75.1	100	99.8306	97.0249
-75.2	75.2	100	99.8306	97.0481
-75.3	75.3	100	99.8588	97.0712
-75.4	75.4	100	99.8588	97.0944
-75.5	75.5	100	99.8588	97.1176
-75.6	75.6	100	99.8588	97.1407
-75.7	75.7	100	99.8588	97.1639
-75.8	75.8	100	99.8588	97.1871
-75.9	75.9	100	99.8588	97.2102
-76.0	76.0	100	99.8588	97.2334
-76.1	76.1	100	99.8588	97.2566
-76.2	76.2	100	99.8588	97.2797
-76.3	76.3	100	99.8588	97.3029
-76.4	76.4	100	99.8588	97.3261
-76.5	76.5	100	99.8588	97.3492
-76.6	76.6	100	99.8588	97.3724
-76.7	76.7	100	99.8588	97.3956
-76.8	76.8	100	99.8588	97.4187
-76.9	76.9	100	99.8588	97.4419
-77.0	77.0	100	99.8588	97.4651
-77.1	77.1	100	99.887	97.4882
-77.2	77.2	100	99.887	97.5114
-77.3	77.3	100	99.887	97.5346
-77.4	77.4	100	99.887	97.5578
-77.5	77.5	100	99.887	97.5809
-77.6	77.6	100	99.887	97.6041
-77.7	77.7	100	99.887	97.6273
-77.8	77.8	100	99.887	97.6504
-77.9	77.9	100	99.887	97.6736
-78.0	78.0	100	99.887	97.6968
-78.1	78.1	100	99.887	97.7199
-78.2	78.2	100	99.887	97.7431
-78.3	78.3	100	99.887	97.7663
-78.4	78.4	100	99.887	97.7894
-78.5	78.5	100	99.887	97.8126
-78.6	78.6	100	99.887	97.8358
-78.7	78.7	100	99.887	97.8589
-78.8	78.8	100	99.887	97.8821
-78.9	78.9	100	99.887	97.9053
-79.0	79.0	100	99.887	97.9284
-79.1	79.1	100	99.887	97.9516
-79.2	79.2	100	99.887	97.9748
-79.3	79.3	100	99.887	97.9979
-79.4	79.4	100	99.887	98.0211
-79.5	79.5	100	99.887	98.0443
-79.6	79.6	100	99.887	98.0674
-79.7	79.7	100	99.887	98.0906
-79.8	79.8	100	99.887	98.1138
-79.9	79.9	100	99.887	98.137
-80.0	80.0	100	99.887	98.1601
-80.1	80.1	100	99.887	98.1833
-80.2	80.2	100	99.887	98.2065
-80.3	80.3	100	99.9153	98.2296
-80.4	80.4	100	99.9163	98.2528
-80.5	80.5	100	99.9435	98.276
-80.6	80.6	100	99.9435	98.2991
-80.7	80.7	100	99.9435	98.3223
-80.8	80.8	100	99.9435	98.3455
-80.9	80.9	100	99.9435	98.3686
-81.0	81.0	100	99.9435	98.3918
-81.1	81.1	100	99.9435	98.415
-81.2	81.2	100	99.9435	98.4256
-81.3	81.3	100	99.9435	98.434
-81.4	81.4	100	99.9435	98.4424
-81.5	81.5	100	99.9435	98.4507
-81.6	81.6	100	99.9435	98.4591
-81.7	81.7	100	99.9435	98.4675
-81.8	81.8	100	99.9435	98.4759
-81.9	81.9	100	99.9435	98.4842
-82.0	82.0	100	99.9435	98.4926
-82.1	82.1	100	99.9435	98.501
-82.2	82.2	100	99.9435	98.5094
-82.3	82.3	100	99.9435	98.5177
-82.4	82.4	100	99.9435	98.5261
-82.5	82.5	100	99.9435	98.5345
-82.6	82.6	100	99.9435	98.5429
-82.7	82.7	100	99.9435	98.5512
-82.8	82.8	100	99.9435	98.5596
-82.9	82.9	100	99.9435	98.568
-83.0	83.0	100	99.9435	98.5764
-83.1	83.1	100	99.9435	98.5847
-83.2	83.2	100	99.9435	98.5931
-83.3	83.3	100	99.9435	98.6015
-83.4	83.4	100	99.9718	98.6099
-83.5	83.5	100	99.9718	98.6182
-83.6	83.6	100	99.9718	98.6266
-83.7	83.7	100	99.9718	98.635
-83.8	83.8	100	99.9718	98.6433
-83.9	83.9	100	99.9718	98.6517
-84.0	84.0	100	99.9718	98.6601
-84.1	84.1	100	99.9718	98.6685
-84.2	84.2	100	99.9718	98.6768
-84.3	84.3	100	99.9718	98.6852
-84.4	84.4	100	99.9718	98.6936
-84.5	84.5	100	99.9718	98.702
-84.6	84.6	100	99.9718	98.7103
-84.7	84.7	100	99.9718	98.7187
-84.8	84.8	100	99.9718	98.7271
-84.9	84.9	100	99.9718	98.7355
-85.0	85.0	100	99.9718	98.7438
-85.1	85.1	100	99.9718	98.7522
-85.2	85.2	100	99.9718	98.7606
-85.3	85.3	100	99.9718	98.769
-85.4	85.4	100	99.9718	98.7773
-85.5	85.5	100	99.9718	98.7857
-85.6	85.6	100	99.9718	98.7941
-85.7	85.7	100	99.9718	98.8025
-85.8	85.8	100	99.9718	98.8108
-85.9	85.9	100	99.9718	98.8192
-86.0	86.0	100	99.9718	98.8276
-86.1	86.1	100	99.9718	98.836
-86.2	86.2	100	99.9718	98.8443
-86.3	86.3	100	99.9718	98.8527
-86.4	86.4	100	99.9718	98.8611
-86.5	86.5	100	99.9718	98.8695
-86.6	86.6	100	99.9718	98.8778
-86.7	86.7	100	99.9718	98.8862
-86.8	86.8	100	99.9718	98.8946
-86.9	86.9	100	99.9718	98.903
-87.0	87.0	100	99.9718	98.9113
-87.1	87.1	100	99.9718	98.9197
-87.2	87.2	100	99.9718	98.9281
-87.3	87.3	100	99.9718	98.9365
-87.4	87.4	100	99.9718	98.9448
-87.5	87.5	100	99.9718	98.9532
-87.6	87.6	100	99.9718	98.9616
-87.7	87.7	100	99.9718	98.9699
-87.8	87.8	100	99.9718	98.9783
-87.9	87.9	100	99.9718	98.9867
-88.0	88.0	100	99.9718	98.9951
-88.1	88.1	100	99.9718	99.0034
-88.2	88.2	100	99.9718	99.0118
-88.3	88.3	100	99.9718	99.0202
-88.4	88.4	100	99.9718	99.0286
-88.5	88.5	100	99.9718	99.0369
-88.6	88.6	100	99.9718	99.0453
-88.7	88.7	100	99.9718	99.0537
-88.8	88.8	100	99.9718	99.0621
-88.9	88.9	100	99.9718	99.0704
-89.0	89.0	100	99.9718	99.0788
-89.1	89.1	100	99.9718	99.0872
-89.2	89.2	100	99.9718	99.0956
-89.3	89.3	100	99.9718	99.1039
-89.4	89.4	100	99.9718	99.1123
-89.5	89.5	100	99.9718	99.1207
-89.6	89.6	100	99.9718	99.1291
-89.7	89.7	100	99.9718	99.1374
-89.8	89.8	100	99.9718	99.1458
-89.9	89.9	100	99.9718	99.1542
-90.0	90.0	100	99.9718	99.1626
-90.1	90.1	100	99.9718	99.1709
-90.2	90.2	100	99.9718	99.1793
-90.3	90.3	100	99.9718	99.1877
-90.4	90.4	100	99.9718	99.1961
-90.5	90.5	100	99.9718	99.2044
-90.6	90.6	100	99.9718	99.2128
-90.7	90.7	100	99.9718	99.2212
-90.8	90.8	100	99.9718	99.2296
-90.9	90.9	100	99.9718	99.2379
-91.0	91.0	100	99.9718	99.2463
-91.1	91.1	100	99.9718	99.2547
-91.2	91.2	100	99.9718	99.2631
-91.3	91.3	100	99.9718	99.2714
-91.4	91.4	100	99.9718	99.2798
-91.5	91.5	100	99.9718	99.2882
-91.6	91.6	100	99.9718	99.2966
-91.7	91.7	100	99.9718	99.3049
-91.8	91.8	100	99.9718	99.3133
-91.9	91.9	100	99.9718	99.3217
-92.0	92.0	100	99.9718	99.33
-92.1	92.1	100	99.9718	99.3384
-92.2	92.2	100	99.9718	99.3468
-92.3	92.3	100	99.9718	99.3552
-92.4	92.4	100	99.9718	99.3635
-92.5	92.5	100	100	99.3719
-92.6	92.6	100	100	99.3803
-92.7	92.7	100	100	99.3887
-92.8	92.8	100	100	99.397
-92.9	92.9	100	100	99.4054
-93.0	93.0	100	100	99.4138
-93.1	93.1	100	100	99.4222
-93.2	93.2	100	100	99.4305
-93.3	93.3	100	100	99.4389
-93.4	93.4	100	100	99.4473
-93.5	93.5	100	100	99.4557
-93.6	93.6	100	100	99.464
-93.7	93.7	100	100	99.4724
-93.8	93.8	100	100	99.4808
-93.9	93.9	100	100	99.4892
-94.0	94.0	100	100	99.4975
-94.1	94.1	100	100	99.5059
-94.2	94.2	100	100	99.5143
-94.3	94.3	100	100	99.5227
-94.4	94.4	100	100	99.531
-94.5	94.5	100	100	99.5394
-94.6	94.6	100	100	99.5478
-94.7	94.7	100	100	99.5562
-94.8	94.8	100	100	99.5645
-94.9	94.9	100	100	99.5729
-95.0	95.0	100	100	99.5813
-95.1	95.1	100	100	99.5897
-95.2	95.2	100	100	99.598
-95.3	95.3	100	100	99.6064
-95.4	95.4	100	100	99.6148
-95.5	95.5	100	100	99.6232
-95.6	95.6	100	100	99.6315
-95.7	95.7	100	100	99.6399
-95.8	95.8	100	100	99.6483
-95.9	95.9	100	100	99.6566
-96.0	96.0	100	100	99.665
-96.1	96.1	100	100	99.6734
-96.2	96.2	100	100	99.6818
-96.3	96.3	100	100	99.6901
-96.4	96.4	100	100	99.6985
-96.5	96.5	100	100	99.7069
-96.6	96.6	100	100	99.7153
-96.7	96.7	100	100	99.7236
-96.8	96.8	100	100	99.732
-96.9	96.9	100	100	99.7404
-97.0	97.0	100	100	99.7488
-97.1	97.1	100	100	99.7571
-97.2	97.2	100	100	99.7655
-97.3	97.3	100	100	99.7739
-97.4	97.4	100	100	99.7823
-97.5	97.5	100	100	99.7906
-97.6	97.6	100	100	99.799
-97.7	97.7	100	100	99.8074
-97.8	97.8	100	100	99.8158
-97.9	97.9	100	100	99.8241
-98.0	98.0	100	100	99.8325
-98.1	98.1	100	100	99.8409
-98.2	98.2	100	100	99.8493
-98.3	98.3	100	100	99.8576
-98.4	98.4	100	100	99.866
-98.5	98.5	100	100	99.8744
-98.6	98.6	100	100	99.8828
-98.7	98.7	100	100	99.8911
-98.8	98.8	100	100	99.8995
-98.9	98.9	100	100	99.9079
-99.0	99.0	100	100	99.9163
-99.1	99.1	100	100	99.9246
-99.2	99.2	100	100	99.933
-99.3	99.3	100	100	99.9414
-99.4	99.4	100	100	99.9498
-99.5	99.5	100	100	99.9581
-99.6	99.6	100	100	99.9665
-99.7	99.7	100	100	99.9749
-99.8	99.8	100	100	99.9833
-99.9	99.9	100	100	99.9916
-100.0	100.0	100	100	100
diff --git a/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt b/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt
deleted file mode 100644
index e3f89173..00000000
--- a/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt
+++ /dev/null
@@ -1,2046 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Evaluation	
-
-Dictionary	Adult
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	34174
-Learning task	Classification analysis
-Target variable	class
-Main target value	more
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.868526	0.490196	0.925735
-R2	Classifier	Univariate	Univariate relationship	0.761632	0.208972	0.779064
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	less	more
-$less	24638	3103
-$more	1390	5043
-
-Rank	R2
-
-Confusion matrix
-	less	more
-$less	26028	8146
-$more	0	0
-
-Lift curves	less
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.131297	0.131297	0.129073
-0.2	0.2	0.262594	0.262594	0.258146
-0.3	0.3	0.393891	0.393891	0.387219
-0.4	0.4	0.525188	0.525188	0.516292
-0.5	0.5	0.656485	0.656485	0.645365
-0.6	0.6	0.787782	0.787782	0.774439
-0.7	0.7	0.919079	0.919079	0.903512
-0.8	0.8	1.05038	1.05038	1.03258
-0.9	0.9	1.18167	1.18167	1.16166
-1.0	1.0	1.31297	1.31297	1.29073
-1.1	1.1	1.44427	1.44427	1.4198
-1.2	1.2	1.57556	1.57556	1.54888
-1.3	1.3	1.70686	1.70686	1.67795
-1.4	1.4	1.83816	1.83816	1.80702
-1.5	1.5	1.96946	1.96946	1.9361
-1.6	1.6	2.10075	2.10075	2.06517
-1.7	1.7	2.23205	2.23205	2.19424
-1.8	1.8	2.36335	2.36335	2.32332
-1.9	1.9	2.49464	2.49464	2.45239
-2.0	2.0	2.62594	2.62594	2.58146
-2.1	2.1	2.75724	2.75724	2.71054
-2.2	2.2	2.88854	2.88854	2.83961
-2.3	2.3	3.01983	3.01983	2.96868
-2.4	2.4	3.15113	3.15113	3.09775
-2.5	2.5	3.28243	3.28243	3.22683
-2.6	2.6	3.41372	3.41372	3.3559
-2.7	2.7	3.54502	3.54502	3.48497
-2.8	2.8	3.67632	3.67632	3.61405
-2.9	2.9	3.80761	3.80761	3.74312
-3.0	3.0	3.93891	3.93891	3.87219
-3.1	3.1	4.07021	4.07021	4.00127
-3.2	3.2	4.20151	4.20151	4.13034
-3.3	3.3	4.3328	4.3328	4.25941
-3.4	3.4	4.4641	4.4641	4.38849
-3.5	3.5	4.5954	4.5954	4.51756
-3.6	3.6	4.72669	4.72669	4.64663
-3.7	3.7	4.85799	4.85799	4.7757
-3.8	3.8	4.98929	4.98929	4.90478
-3.9	3.9	5.12059	5.12059	5.03385
-4.0	4.0	5.25188	5.25188	5.16292
-4.1	4.1	5.38318	5.38318	5.292
-4.2	4.2	5.51448	5.51448	5.42107
-4.3	4.3	5.64577	5.64577	5.55014
-4.4	4.4	5.77707	5.77707	5.67922
-4.5	4.5	5.90837	5.90453	5.80829
-4.6	4.6	6.03966	6.03582	5.93736
-4.7	4.7	6.17096	6.16712	6.06644
-4.8	4.8	6.30226	6.29842	6.19551
-4.9	4.9	6.43356	6.42971	6.32458
-5.0	5.0	6.56485	6.56101	6.45365
-5.1	5.1	6.69615	6.69231	6.58273
-5.2	5.2	6.82745	6.82361	6.7118
-5.3	5.3	6.95874	6.9549	6.84087
-5.4	5.4	7.09004	7.0862	6.96995
-5.5	5.5	7.22134	7.2175	7.09902
-5.6	5.6	7.35264	7.34879	7.22809
-5.7	5.7	7.48393	7.48009	7.35717
-5.8	5.8	7.61523	7.61139	7.48624
-5.9	5.9	7.74653	7.74268	7.61531
-6.0	6.0	7.87782	7.87398	7.74439
-6.1	6.1	8.00912	8.00528	7.87346
-6.2	6.2	8.14042	8.13658	8.00253
-6.3	6.3	8.27172	8.26787	8.13161
-6.4	6.4	8.40301	8.39917	8.26068
-6.5	6.5	8.53431	8.53047	8.38975
-6.6	6.6	8.66561	8.66176	8.51882
-6.7	6.7	8.7969	8.79306	8.6479
-6.8	6.8	8.9282	8.92436	8.77697
-6.9	6.9	9.0595	9.05566	8.90604
-7.0	7.0	9.19079	9.18695	9.03512
-7.1	7.1	9.32209	9.31825	9.16419
-7.2	7.2	9.45339	9.44955	9.29326
-7.3	7.3	9.58469	9.58084	9.42234
-7.4	7.4	9.71598	9.71214	9.55141
-7.5	7.5	9.84728	9.84344	9.68048
-7.6	7.6	9.97858	9.97473	9.80956
-7.7	7.7	10.1099	10.106	9.93863
-7.8	7.8	10.2412	10.2373	10.0677
-7.9	7.9	10.3725	10.3686	10.1968
-8.0	8.0	10.5038	10.4999	10.3258
-8.1	8.1	10.6351	10.6312	10.4549
-8.2	8.2	10.7664	10.7625	10.584
-8.3	8.3	10.8977	10.8938	10.7131
-8.4	8.4	11.029	11.0251	10.8421
-8.5	8.5	11.1603	11.1564	10.9712
-8.6	8.6	11.2915	11.2877	11.1003
-8.7	8.7	11.4228	11.419	11.2294
-8.8	8.8	11.5541	11.5503	11.3584
-8.9	8.9	11.6854	11.6816	11.4875
-9.0	9.0	11.8167	11.8129	11.6166
-9.1	9.1	11.948	11.9442	11.7457
-9.2	9.2	12.0793	12.0755	11.8747
-9.3	9.3	12.2106	12.2068	12.0038
-9.4	9.4	12.3419	12.3381	12.1329
-9.5	9.5	12.4732	12.4655	12.2619
-9.6	9.6	12.6045	12.5968	12.391
-9.7	9.7	12.7358	12.7281	12.5201
-9.8	9.8	12.8671	12.8594	12.6492
-9.9	9.9	12.9984	12.9907	12.7782
-10.0	10.0	13.1297	13.122	12.9073
-10.1	10.1	13.261	13.2533	13.0364
-10.2	10.2	13.3923	13.3846	13.1655
-10.3	10.3	13.5236	13.5159	13.2945
-10.4	10.4	13.6549	13.6472	13.4236
-10.5	10.5	13.7862	13.7785	13.5527
-10.6	10.6	13.9175	13.9098	13.6817
-10.7	10.7	14.0488	14.0411	13.8108
-10.8	10.8	14.1801	14.1724	13.9399
-10.9	10.9	14.3114	14.3037	14.069
-11.0	11.0	14.4427	14.4312	14.198
-11.1	11.1	14.574	14.5624	14.3271
-11.2	11.2	14.7053	14.6937	14.4562
-11.3	11.3	14.8366	14.825	14.5853
-11.4	11.4	14.9679	14.9563	14.7143
-11.5	11.5	15.0992	15.0876	14.8434
-11.6	11.6	15.2305	15.2189	14.9725
-11.7	11.7	15.3618	15.3502	15.1016
-11.8	11.8	15.4931	15.4815	15.2306
-11.9	11.9	15.6244	15.6128	15.3597
-12.0	12.0	15.7556	15.7441	15.4888
-12.1	12.1	15.8869	15.8754	15.6178
-12.2	12.2	16.0182	16.0067	15.7469
-12.3	12.3	16.1495	16.138	15.876
-12.4	12.4	16.2808	16.2693	16.0051
-12.5	12.5	16.4121	16.4006	16.1341
-12.6	12.6	16.5434	16.5319	16.2632
-12.7	12.7	16.6747	16.6632	16.3923
-12.8	12.8	16.806	16.7945	16.5214
-12.9	12.9	16.9373	16.9258	16.6504
-13.0	13.0	17.0686	17.0571	16.7795
-13.1	13.1	17.1999	17.1884	16.9086
-13.2	13.2	17.3312	17.3197	17.0376
-13.3	13.3	17.4625	17.451	17.1667
-13.4	13.4	17.5938	17.5823	17.2958
-13.5	13.5	17.7251	17.7136	17.4249
-13.6	13.6	17.8564	17.8449	17.5539
-13.7	13.7	17.9877	17.9762	17.683
-13.8	13.8	18.119	18.1075	17.8121
-13.9	13.9	18.2503	18.2388	17.9412
-14.0	14.0	18.3816	18.3701	18.0702
-14.1	14.1	18.5129	18.5014	18.1993
-14.2	14.2	18.6442	18.6327	18.3284
-14.3	14.3	18.7755	18.764	18.4575
-14.4	14.4	18.9068	18.8953	18.5865
-14.5	14.5	19.0381	19.0265	18.7156
-14.6	14.6	19.1694	19.1578	18.8447
-14.7	14.7	19.3007	19.2891	18.9737
-14.8	14.8	19.432	19.4204	19.1028
-14.9	14.9	19.5633	19.5479	19.2319
-15.0	15.0	19.6946	19.6792	19.361
-15.1	15.1	19.8259	19.8105	19.49
-15.2	15.2	19.9572	19.9418	19.6191
-15.3	15.3	20.0885	20.0731	19.7482
-15.4	15.4	20.2197	20.2044	19.8773
-15.5	15.5	20.351	20.3357	20.0063
-15.6	15.6	20.4823	20.467	20.1354
-15.7	15.7	20.6136	20.5983	20.2645
-15.8	15.8	20.7449	20.7296	20.3935
-15.9	15.9	20.8762	20.8609	20.5226
-16.0	16.0	21.0075	20.9922	20.6517
-16.1	16.1	21.1388	21.1196	20.7808
-16.2	16.2	21.2701	21.2509	20.9098
-16.3	16.3	21.4014	21.3822	21.0389
-16.4	16.4	21.5327	21.5135	21.168
-16.5	16.5	21.664	21.6448	21.2971
-16.6	16.6	21.7953	21.7723	21.4261
-16.7	16.7	21.9266	21.9036	21.5552
-16.8	16.8	22.0579	22.0349	21.6843
-16.9	16.9	22.1892	22.1662	21.8134
-17.0	17.0	22.3205	22.2974	21.9424
-17.1	17.1	22.4518	22.4287	22.0715
-17.2	17.2	22.5831	22.56	22.2006
-17.3	17.3	22.7144	22.6913	22.3296
-17.4	17.4	22.8457	22.8226	22.4587
-17.5	17.5	22.977	22.9524	22.5878
-17.6	17.6	23.1083	23.0814	22.7169
-17.7	17.7	23.2396	23.2127	22.8459
-17.8	17.8	23.3709	23.344	22.975
-17.9	17.9	23.5022	23.4753	23.1041
-18.0	18.0	23.6335	23.6066	23.2332
-18.1	18.1	23.7648	23.7379	23.3622
-18.2	18.2	23.8961	23.8692	23.4913
-18.3	18.3	24.0274	24.0005	23.6204
-18.4	18.4	24.1587	24.1318	23.7495
-18.5	18.5	24.29	24.2631	23.8776
-18.6	18.6	24.4213	24.3944	24.0008
-18.7	18.7	24.5526	24.5257	24.1239
-18.8	18.8	24.6838	24.657	24.2471
-18.9	18.9	24.8151	24.7883	24.3702
-19.0	19.0	24.9464	24.9195	24.4934
-19.1	19.1	25.0777	25.047	24.6165
-19.2	19.2	25.209	25.1783	24.7397
-19.3	19.3	25.3403	25.3096	24.8628
-19.4	19.4	25.4716	25.4409	24.9859
-19.5	19.5	25.6029	25.5722	25.1091
-19.6	19.6	25.7342	25.7035	25.2322
-19.7	19.7	25.8655	25.8348	25.3554
-19.8	19.8	25.9968	25.9661	25.4785
-19.9	19.9	26.1281	26.0974	25.6017
-20.0	20.0	26.2594	26.2287	25.7248
-20.1	20.1	26.3907	26.36	25.848
-20.2	20.2	26.522	26.4913	25.9711
-20.3	20.3	26.6533	26.6187	26.0943
-20.4	20.4	26.7846	26.75	26.2174
-20.5	20.5	26.9159	26.8813	26.3406
-20.6	20.6	27.0472	27.0126	26.4637
-20.7	20.7	27.1785	27.1439	26.5869
-20.8	20.8	27.3098	27.2675	26.71
-20.9	20.9	27.4411	27.3988	26.8332
-21.0	21.0	27.5724	27.5301	26.9563
-21.1	21.1	27.7037	27.6614	27.0795
-21.2	21.2	27.835	27.7927	27.2026
-21.3	21.3	27.9663	27.924	27.3257
-21.4	21.4	28.0976	28.0553	27.4489
-21.5	21.5	28.2289	28.1866	27.572
-21.6	21.6	28.3602	28.3179	27.6952
-21.7	21.7	28.4915	28.4492	27.8183
-21.8	21.8	28.6228	28.5805	27.9415
-21.9	21.9	28.7541	28.7118	28.0646
-22.0	22.0	28.8854	28.8431	28.1878
-22.1	22.1	29.0167	28.9705	28.3109
-22.2	22.2	29.1479	29.1018	28.4341
-22.3	22.3	29.2792	29.2331	28.5572
-22.4	22.4	29.4105	29.3606	28.6804
-22.5	22.5	29.5418	29.4919	28.8035
-22.6	22.6	29.6731	29.6232	28.9267
-22.7	22.7	29.8044	29.7545	29.0498
-22.8	22.8	29.9357	29.8819	29.173
-22.9	22.9	30.067	30.0132	29.2961
-23.0	23.0	30.1983	30.1445	29.4193
-23.1	23.1	30.3296	30.272	29.5424
-23.2	23.2	30.4609	30.4033	29.6655
-23.3	23.3	30.5922	30.5346	29.7887
-23.4	23.4	30.7235	30.6659	29.9118
-23.5	23.5	30.8548	30.7972	30.035
-23.6	23.6	30.9861	30.9285	30.1581
-23.7	23.7	31.1174	31.0559	30.2813
-23.8	23.8	31.2487	31.1872	30.4044
-23.9	23.9	31.38	31.3185	30.5276
-24.0	24.0	31.5113	31.4498	30.6507
-24.1	24.1	31.6426	31.5773	30.7739
-24.2	24.2	31.7739	31.7086	30.897
-24.3	24.3	31.9052	31.8399	31.0202
-24.4	24.4	32.0365	31.9712	31.1433
-24.5	24.5	32.1678	32.1025	31.2665
-24.6	24.6	32.2991	32.2299	31.3896
-24.7	24.7	32.4304	32.3612	31.5128
-24.8	24.8	32.5617	32.4925	31.6359
-24.9	24.9	32.693	32.6238	31.7591
-25.0	25.0	32.8243	32.7551	31.8822
-25.1	25.1	32.9556	32.8864	32.0053
-25.2	25.2	33.0869	33.0139	32.1285
-25.3	25.3	33.2182	33.1452	32.2516
-25.4	25.4	33.3495	33.2726	32.3748
-25.5	25.5	33.4808	33.4039	32.4979
-25.6	25.6	33.612	33.5352	32.6211
-25.7	25.7	33.7433	33.66	32.7442
-25.8	25.8	33.8746	33.7901	32.8674
-25.9	25.9	34.0059	33.9214	32.9905
-26.0	26.0	34.1372	34.0527	33.1137
-26.1	26.1	34.2685	34.184	33.2368
-26.2	26.2	34.3998	34.3153	33.36
-26.3	26.3	34.5311	34.4466	33.4831
-26.4	26.4	34.6624	34.5779	33.6063
-26.5	26.5	34.7937	34.7054	33.7294
-26.6	26.6	34.925	34.8328	33.8526
-26.7	26.7	35.0563	34.9603	33.9757
-26.8	26.8	35.1876	35.0916	34.0989
-26.9	26.9	35.3189	35.2229	34.222
-27.0	27.0	35.4502	35.3542	34.3451
-27.1	27.1	35.5815	35.4855	34.4683
-27.2	27.2	35.7128	35.6168	34.5914
-27.3	27.3	35.8441	35.7442	34.7146
-27.4	27.4	35.9754	35.8717	34.8377
-27.5	27.5	36.1067	36.003	34.9609
-27.6	27.6	36.238	36.1343	35.084
-27.7	27.7	36.3693	36.2656	35.2072
-27.8	27.8	36.5006	36.3968	35.3303
-27.9	27.9	36.6319	36.5205	35.4535
-28.0	28.0	36.7632	36.6518	35.5766
-28.1	28.1	36.8945	36.7831	35.6998
-28.2	28.2	37.0258	36.9105	35.8229
-28.3	28.3	37.1571	37.0418	35.9461
-28.4	28.4	37.2884	37.1731	36.0692
-28.5	28.5	37.4197	37.3006	36.1924
-28.6	28.6	37.551	37.4319	36.3155
-28.7	28.7	37.6823	37.5632	36.4387
-28.8	28.8	37.8136	37.6945	36.5618
-28.9	28.9	37.9449	37.8257	36.6849
-29.0	29.0	38.0761	37.957	36.8081
-29.1	29.1	38.2074	38.0883	36.9312
-29.2	29.2	38.3387	38.2158	37.0514
-29.3	29.3	38.47	38.3471	37.1697
-29.4	29.4	38.6013	38.4784	37.288
-29.5	29.5	38.7326	38.6097	37.4063
-29.6	29.6	38.8639	38.741	37.5246
-29.7	29.7	38.9952	38.8684	37.6428
-29.8	29.8	39.1265	38.9959	37.7611
-29.9	29.9	39.2578	39.1272	37.8794
-30.0	30.0	39.3891	39.2585	37.9977
-30.1	30.1	39.5204	39.3859	38.116
-30.2	30.2	39.6517	39.5134	38.2343
-30.3	30.3	39.783	39.6409	38.3525
-30.4	30.4	39.9143	39.7722	38.4708
-30.5	30.5	40.0456	39.9035	38.5891
-30.6	30.6	40.1769	40.0347	38.7074
-30.7	30.7	40.3082	40.166	38.8257
-30.8	30.8	40.4395	40.2973	38.9439
-30.9	30.9	40.5708	40.4286	39.0622
-31.0	31.0	40.7021	40.5561	39.1805
-31.1	31.1	40.8334	40.6874	39.2988
-31.2	31.2	40.9647	40.8187	39.4171
-31.3	31.3	41.096	40.95	39.5354
-31.4	31.4	41.2273	41.0813	39.6536
-31.5	31.5	41.3586	41.2126	39.7719
-31.6	31.6	41.4899	41.34	39.8902
-31.7	31.7	41.6212	41.4713	40.0085
-31.8	31.8	41.7525	41.6026	40.1268
-31.9	31.9	41.8838	41.7301	40.2451
-32.0	32.0	42.0151	41.8614	40.3633
-32.1	32.1	42.1464	41.9927	40.4816
-32.2	32.2	42.2777	42.1201	40.5999
-32.3	32.3	42.409	42.2514	40.7182
-32.4	32.4	42.5402	42.3827	40.8365
-32.5	32.5	42.6715	42.514	40.9547
-32.6	32.6	42.8028	42.6415	41.073
-32.7	32.7	42.9341	42.7728	41.1913
-32.8	32.8	43.0654	42.9002	41.3096
-32.9	32.9	43.1967	43.0315	41.4279
-33.0	33.0	43.328	43.159	41.5462
-33.1	33.1	43.4593	43.2903	41.6644
-33.2	33.2	43.5906	43.4177	41.7827
-33.3	33.3	43.7219	43.549	41.901
-33.4	33.4	43.8532	43.6765	42.0193
-33.5	33.5	43.9845	43.8039	42.1376
-33.6	33.6	44.1158	43.9352	42.2559
-33.7	33.7	44.2471	44.0644	42.3741
-33.8	33.8	44.3784	44.194	42.4924
-33.9	33.9	44.5097	44.3253	42.6107
-34.0	34.0	44.641	44.4566	42.729
-34.1	34.1	44.7723	44.5879	42.8473
-34.2	34.2	44.9036	44.7192	42.9655
-34.3	34.3	45.0349	44.8505	43.0838
-34.4	34.4	45.1662	44.9779	43.2021
-34.5	34.5	45.2975	45.1092	43.3204
-34.6	34.6	45.4288	45.2405	43.4387
-34.7	34.7	45.5601	45.3718	43.557
-34.8	34.8	45.6914	45.5031	43.6752
-34.9	34.9	45.8227	45.6306	43.7935
-35.0	35.0	45.954	45.7619	43.9118
-35.1	35.1	46.0853	45.8855	44.0301
-35.2	35.2	46.2166	46.0168	44.1484
-35.3	35.3	46.3479	46.1442	44.2667
-35.4	35.4	46.4792	46.2755	44.3849
-35.5	35.5	46.6105	46.4068	44.5032
-35.6	35.6	46.7418	46.5343	44.6215
-35.7	35.7	46.8731	46.6541	44.7398
-35.8	35.8	47.0043	46.7854	44.8581
-35.9	35.9	47.1356	46.9167	44.9763
-36.0	36.0	47.2669	47.0479	45.0946
-36.1	36.1	47.3982	47.1792	45.2129
-36.2	36.2	47.5295	47.3105	45.3312
-36.3	36.3	47.6608	47.4418	45.4495
-36.4	36.4	47.7921	47.5727	45.5678
-36.5	36.5	47.9234	47.7006	45.686
-36.6	36.6	48.0547	47.8274	45.8043
-36.7	36.7	48.186	47.9517	45.9226
-36.8	36.8	48.3173	48.0791	46.0409
-36.9	36.9	48.4486	48.2047	46.1592
-37.0	37.0	48.5799	48.3263	46.2775
-37.1	37.1	48.7112	48.4576	46.3957
-37.2	37.2	48.8425	48.5889	46.514
-37.3	37.3	48.9738	48.7202	46.6323
-37.4	37.4	49.1051	48.8438	46.7506
-37.5	37.5	49.2364	48.9751	46.8689
-37.6	37.6	49.3677	49.1064	46.9871
-37.7	37.7	49.499	49.2377	47.1054
-37.8	37.8	49.6303	49.369	47.2237
-37.9	37.9	49.7616	49.5003	47.342
-38.0	38.0	49.8929	49.6316	47.4603
-38.1	38.1	50.0242	49.7552	47.5786
-38.2	38.2	50.1555	49.8865	47.6968
-38.3	38.3	50.2868	50.014	47.8151
-38.4	38.4	50.4181	50.1338	47.9334
-38.5	38.5	50.5494	50.2612	48.0517
-38.6	38.6	50.6807	50.3887	48.17
-38.7	38.7	50.812	50.52	48.2883
-38.8	38.8	50.9433	50.6474	48.4065
-38.9	38.9	51.0746	50.7787	48.5248
-39.0	39.0	51.2059	50.91	48.6431
-39.1	39.1	51.3372	51.0375	48.7614
-39.2	39.2	51.4684	51.1649	48.8797
-39.3	39.3	51.5997	51.2924	48.998
-39.4	39.4	51.731	51.4237	49.1162
-39.5	39.5	51.8623	51.5511	49.2345
-39.6	39.6	51.9936	51.6786	49.3528
-39.7	39.7	52.1249	51.806	49.4711
-39.8	39.8	52.2562	51.9258	49.5894
-39.9	39.9	52.3875	52.0571	49.7076
-40.0	40.0	52.5188	52.1884	49.8259
-40.1	40.1	52.6501	52.3159	49.9442
-40.2	40.2	52.7814	52.4433	50.0625
-40.3	40.3	52.9127	52.5684	50.1808
-40.4	40.4	53.044	52.6944	50.2991
-40.5	40.5	53.1753	52.8257	50.4173
-40.6	40.6	53.3066	52.957	50.5356
-40.7	40.7	53.4379	53.0875	50.6539
-40.8	40.8	53.5692	53.2081	50.7722
-40.9	40.9	53.7005	53.3393	50.8905
-41.0	41.0	53.8318	53.4553	51.0088
-41.1	41.1	53.9631	53.575	51.127
-41.2	41.2	54.0944	53.7036	51.2453
-41.3	41.3	54.2257	53.83	51.3636
-41.4	41.4	54.357	53.9574	51.4819
-41.5	41.5	54.4883	54.079	51.6002
-41.6	41.6	54.6196	54.2008	51.7184
-41.7	41.7	54.7509	54.3283	51.8367
-41.8	41.8	54.8822	54.455	51.955
-41.9	41.9	55.0135	54.5755	52.0733
-42.0	42.0	55.1448	54.6991	52.1916
-42.1	42.1	55.2761	54.8265	52.3099
-42.2	42.2	55.4074	54.954	52.4281
-42.3	42.3	55.5387	55.0815	52.5464
-42.4	42.4	55.67	55.2051	52.6647
-42.5	42.5	55.8013	55.321	52.783
-42.6	42.6	55.9325	55.4369	52.9013
-42.7	42.7	56.0638	55.5567	53.0196
-42.8	42.8	56.1951	55.6878	53.1378
-42.9	42.9	56.3264	55.8155	53.2561
-43.0	43.0	56.4577	55.9467	53.3744
-43.1	43.1	56.589	56.0665	53.4927
-43.2	43.2	56.7203	56.1901	53.611
-43.3	43.3	56.8516	56.3137	53.7292
-43.4	43.4	56.9829	56.4297	53.8475
-43.5	43.5	57.1142	56.5571	53.9658
-43.6	43.6	57.2455	56.6846	54.0841
-43.7	43.7	57.3768	56.812	54.2024
-43.8	43.8	57.5081	56.9318	54.3207
-43.9	43.9	57.6394	57.0593	54.4389
-44.0	44.0	57.7707	57.1846	54.5572
-44.1	44.1	57.902	57.3103	54.6755
-44.2	44.2	58.0333	57.4416	54.7938
-44.3	44.3	58.1646	57.5652	54.9121
-44.4	44.4	58.2959	57.6965	55.0304
-44.5	44.5	58.4272	57.824	55.1486
-44.6	44.6	58.5585	57.9515	55.2669
-44.7	44.7	58.6898	58.0751	55.3852
-44.8	44.8	58.8211	58.1987	55.5035
-44.9	44.9	58.9524	58.3184	55.6218
-45.0	45.0	59.0837	58.4459	55.74
-45.1	45.1	59.215	58.5695	55.8583
-45.2	45.2	59.3463	58.6868	55.9766
-45.3	45.3	59.4776	58.8167	56.0949
-45.4	45.4	59.6089	58.9442	56.2132
-45.5	45.5	59.7402	59.0548	56.3315
-45.6	45.6	59.8715	59.1645	56.4497
-45.7	45.7	60.0028	59.2958	56.568
-45.8	45.8	60.1341	59.4233	56.6863
-45.9	45.9	60.2654	59.5497	56.8046
-46.0	46.0	60.3966	59.6744	56.9229
-46.1	46.1	60.5279	59.8018	57.0412
-46.2	46.2	60.6592	59.9293	57.1594
-46.3	46.3	60.7905	60.0567	57.2777
-46.4	46.4	60.9218	60.1842	57.396
-46.5	46.5	61.0531	60.3155	57.5143
-46.6	46.6	61.1844	60.4429	57.6326
-46.7	46.7	61.3157	60.5665	57.7508
-46.8	46.8	61.447	60.6825	57.8691
-46.9	46.9	61.5783	60.8061	57.9874
-47.0	47.0	61.7096	60.9182	58.1057
-47.1	47.1	61.8409	61.0456	58.224
-47.2	47.2	61.9722	61.1615	58.3423
-47.3	47.3	62.1035	61.2852	58.4605
-47.4	47.4	62.2348	61.4011	58.5788
-47.5	47.5	62.3661	61.5285	58.6971
-47.6	47.6	62.4974	61.6522	58.8154
-47.7	47.7	62.6287	61.7758	58.9337
-47.8	47.8	62.76	61.9032	59.052
-47.9	47.9	62.8913	62.0241	59.1702
-48.0	48.0	63.0226	62.1505	59.2885
-48.1	48.1	63.1539	62.2672	59.4068
-48.2	48.2	63.2852	62.3862	59.5251
-48.3	48.3	63.4165	62.5098	59.6434
-48.4	48.4	63.5478	62.618	59.7617
-48.5	48.5	63.6791	62.7455	59.8799
-48.6	48.6	63.8104	62.8691	59.9982
-48.7	48.7	63.9417	62.9889	60.1165
-48.8	48.8	64.073	63.1125	60.2348
-48.9	48.9	64.2043	63.2361	60.3531
-49.0	49.0	64.3356	63.3597	60.4713
-49.1	49.1	64.4669	63.4718	60.5896
-49.2	49.2	64.5982	63.5992	60.7079
-49.3	49.3	64.7295	63.7192	60.8262
-49.4	49.4	64.8607	63.8503	60.9445
-49.5	49.5	64.992	63.974	61.0628
-49.6	49.6	65.1233	64.0975	61.181
-49.7	49.7	65.2546	64.2211	61.2993
-49.8	49.8	65.3859	64.3524	61.4176
-49.9	49.9	65.5172	64.4799	61.5359
-50.0	50.0	65.6485	64.5949	61.6542
-50.1	50.1	65.7798	64.7156	61.7725
-50.2	50.2	65.9111	64.8392	61.8907
-50.3	50.3	66.0424	64.9667	62.009
-50.4	50.4	66.1737	65.0946	62.1273
-50.5	50.5	66.305	65.2139	62.2456
-50.6	50.6	66.4363	65.3298	62.3639
-50.7	50.7	66.5676	65.4457	62.4821
-50.8	50.8	66.6989	65.5694	62.6004
-50.9	50.9	66.8302	65.6968	62.7187
-51.0	51.0	66.9615	65.8281	62.837
-51.1	51.1	67.0928	65.9527	62.9553
-51.2	51.2	67.2241	66.0792	63.0736
-51.3	51.3	67.3554	66.1989	63.1918
-51.4	51.4	67.4867	66.3187	63.3101
-51.5	51.5	67.618	66.45	63.4284
-51.6	51.6	67.7493	66.5762	63.5467
-51.7	51.7	67.8806	66.6934	63.665
-51.8	51.8	68.0119	66.7978	63.7833
-51.9	51.9	68.1432	66.9099	63.9015
-52.0	52.0	68.2745	67.0373	64.0198
-52.1	52.1	68.4058	67.1543	64.1381
-52.2	52.2	68.5371	67.2846	64.2564
-52.3	52.3	68.6684	67.4043	64.3747
-52.4	52.4	68.7997	67.528	64.4929
-52.5	52.5	68.931	67.6485	64.6112
-52.6	52.6	69.0623	67.7675	64.7295
-52.7	52.7	69.1936	67.8873	64.8478
-52.8	52.8	69.3249	68.0109	64.9661
-52.9	52.9	69.4561	68.1216	65.0844
-53.0	53.0	69.5874	68.2427	65.2026
-53.1	53.1	69.7187	68.3702	65.3209
-53.2	53.2	69.85	68.478	65.4392
-53.3	53.3	69.9813	68.5867	65.5575
-53.4	53.4	70.1126	68.6911	65.6758
-53.5	53.5	70.2439	68.7908	65.7941
-53.6	53.6	70.3752	68.8999	65.9123
-53.7	53.7	70.5065	69.0197	66.0306
-53.8	53.8	70.6378	69.1412	66.1489
-53.9	53.9	70.7691	69.2592	66.2672
-54.0	54.0	70.9004	69.379	66.3855
-54.1	54.1	71.0317	69.4949	66.5037
-54.2	54.2	71.163	69.6147	66.622
-54.3	54.3	71.2943	69.7311	66.7403
-54.4	54.4	71.4256	69.8619	66.8586
-54.5	54.5	71.5569	69.9627	66.9769
-54.6	54.6	71.6882	70.063	67.0952
-54.7	54.7	71.8195	70.1751	67.2134
-54.8	54.8	71.9508	70.2949	67.3317
-54.9	54.9	72.0821	70.407	67.4277
-55.0	55.0	72.2134	70.5267	67.5
-55.1	55.1	72.3447	70.6273	67.5722
-55.2	55.2	72.476	70.7279	67.6444
-55.3	55.3	72.6073	70.8476	67.7166
-55.4	55.4	72.7386	70.9674	67.7888
-55.5	55.5	72.8699	71.0795	67.8611
-55.6	55.6	73.0012	71.1993	67.9333
-55.7	55.7	73.1325	71.319	68.0055
-55.8	55.8	73.2638	71.4311	68.0777
-55.9	55.9	73.3951	71.5488	68.15
-56.0	56.0	73.5264	71.6707	68.2222
-56.1	56.1	73.6577	71.7904	68.2944
-56.2	56.2	73.789	71.8925	68.3666
-56.3	56.3	73.9202	72.0108	68.4388
-56.4	56.4	74.0515	72.1382	68.5111
-56.5	56.5	74.1828	72.2503	68.5833
-56.6	56.6	74.3141	72.3643	68.6555
-56.7	56.7	74.4454	72.4783	68.7277
-56.8	56.8	74.5767	72.5928	68.8
-56.9	56.9	74.708	72.714	68.8722
-57.0	57.0	74.8393	72.8144	68.9444
-57.1	57.1	74.9706	72.9267	69.0166
-57.2	57.2	75.1019	73.0311	69.0888
-57.3	57.3	75.2332	73.1437	69.1611
-57.4	57.4	75.3645	73.2629	69.2333
-57.5	57.5	75.4958	73.3748	69.3055
-57.6	57.6	75.6271	73.4751	69.3777
-57.7	57.7	75.7584	73.5909	69.45
-57.8	57.8	75.8897	73.708	69.5222
-57.9	57.9	76.021	73.8252	69.5944
-58.0	58.0	76.1523	73.9396	69.6666
-58.1	58.1	76.2836	74.0398	69.7388
-58.2	58.2	76.4149	74.1596	69.8111
-58.3	58.3	76.5462	74.2717	69.8833
-58.4	58.4	76.6775	74.3953	69.9555
-58.5	58.5	76.8088	74.5113	70.0277
-58.6	58.6	76.9401	74.6063	70.1
-58.7	58.7	77.0714	74.7239	70.1722
-58.8	58.8	77.2027	74.8437	70.2444
-58.9	58.9	77.334	74.9398	70.3166
-59.0	59.0	77.4653	75.064	70.3888
-59.1	59.1	77.5966	75.1778	70.4611
-59.2	59.2	77.7279	75.2728	70.5333
-59.3	59.3	77.8592	75.3811	70.6055
-59.4	59.4	77.9905	75.4816	70.6777
-59.5	59.5	78.1218	75.5783	70.75
-59.6	59.6	78.2531	75.6854	70.8222
-59.7	59.7	78.3843	75.791	70.8944
-59.8	59.8	78.5156	75.9052	70.9666
-59.9	59.9	78.6469	76.0191	71.0388
-60.0	60.0	78.7782	76.1311	71.1111
-60.1	60.1	78.9095	76.2294	71.1833
-60.2	60.2	79.0408	76.3284	71.2555
-60.3	60.3	79.1721	76.4366	71.3277
-60.4	60.4	79.3034	76.5564	71.4
-60.5	60.5	79.4347	76.6751	71.4722
-60.6	60.6	79.566	76.7767	71.5444
-60.7	60.7	79.6973	76.8773	71.6166
-60.8	60.8	79.8286	76.9777	71.6889
-60.9	60.9	79.9599	77.0784	71.7611
-61.0	61.0	80.0912	77.1899	71.8333
-61.1	61.1	80.2225	77.2783	71.9055
-61.2	61.2	80.3538	77.3857	71.9777
-61.3	61.3	80.4851	77.5018	72.05
-61.4	61.4	80.6164	77.6235	72.1222
-61.5	61.5	80.7477	77.7428	72.1944
-61.6	61.6	80.879	77.8558	72.2666
-61.7	61.7	81.0103	77.9551	72.3389
-61.8	61.8	81.1416	78.0641	72.4111
-61.9	61.9	81.2729	78.1696	72.4833
-62.0	62.0	81.4042	78.2729	72.5555
-62.1	62.1	81.5355	78.3658	72.6277
-62.2	62.2	81.6668	78.4818	72.7
-62.3	62.3	81.7981	78.5961	72.7722
-62.4	62.4	81.9294	78.7132	72.8444
-62.5	62.5	82.0607	78.7988	72.9166
-62.6	62.6	82.192	78.8955	72.9889
-62.7	62.7	82.3233	78.9999	73.0611
-62.8	62.8	82.4546	79.0828	73.1333
-62.9	62.9	82.5859	79.1818	73.2055
-63.0	63.0	82.7172	79.2709	73.2777
-63.1	63.1	82.8484	79.3914	73.35
-63.2	63.2	82.9797	79.499	73.4222
-63.3	63.3	83.111	79.5958	73.4944
-63.4	63.4	83.2423	79.6962	73.5666
-63.5	63.5	83.3736	79.8038	73.6389
-63.6	63.6	83.5049	79.9272	73.7111
-63.7	63.7	83.6362	80.0462	73.7833
-63.8	63.8	83.7675	80.1472	73.8555
-63.9	63.9	83.8988	80.2389	73.9277
-64.0	64.0	84.0301	80.3536	74
-64.1	64.1	84.1614	80.4518	74.0722
-64.2	64.2	84.2927	80.5391	74.1444
-64.3	64.3	84.424	80.6322	74.2166
-64.4	64.4	84.5553	80.7325	74.2889
-64.5	64.5	84.6866	80.8264	74.3611
-64.6	64.6	84.8179	80.9371	74.4333
-64.7	64.7	84.9492	81.0281	74.5055
-64.8	64.8	85.0805	81.1312	74.5777
-64.9	64.9	85.2118	81.2288	74.65
-65.0	65.0	85.3431	81.3205	74.7222
-65.1	65.1	85.4744	81.4134	74.7944
-65.2	65.2	85.6057	81.485	74.8666
-65.3	65.3	85.737	81.5805	74.9389
-65.4	65.4	85.8683	81.6771	75.0111
-65.5	65.5	85.9996	81.7773	75.0833
-65.6	65.6	86.1309	81.858	75.1555
-65.7	65.7	86.2622	81.9476	75.2277
-65.8	65.8	86.3935	82.0393	75.3
-65.9	65.9	86.5248	82.141	75.3722
-66.0	66.0	86.6561	82.2304	75.4444
-66.1	66.1	86.7874	82.3268	75.5166
-66.2	66.2	86.9187	82.4283	75.5889
-66.3	66.3	87.05	82.4972	75.6611
-66.4	66.4	87.1813	82.59	75.7333
-66.5	66.5	87.3125	82.7052	75.8055
-66.6	66.6	87.4438	82.8214	75.8777
-66.7	66.7	87.5751	82.9378	75.95
-66.8	66.8	87.7064	83.0337	76.0222
-66.9	66.9	87.8377	83.1258	76.0944
-67.0	67.0	87.969	83.2203	76.1666
-67.1	67.1	88.1003	83.3324	76.2389
-67.2	67.2	88.2316	83.4291	76.3111
-67.3	67.3	88.3629	83.5199	76.3833
-67.4	67.4	88.4942	83.6106	76.4555
-67.5	67.5	88.6255	83.6959	76.5277
-67.6	67.6	88.7568	83.7845	76.6
-67.7	67.7	88.8881	83.8732	76.6722
-67.8	67.8	89.0194	83.9634	76.7444
-67.9	67.9	89.1507	84.0524	76.8166
-68.0	68.0	89.282	84.1346	76.8889
-68.1	68.1	89.4133	84.2208	76.9611
-68.2	68.2	89.5446	84.3054	77.0333
-68.3	68.3	89.6759	84.3822	77.1055
-68.4	68.4	89.8072	84.4632	77.1777
-68.5	68.5	89.9385	84.5457	77.25
-68.6	68.6	90.0698	84.6179	77.3222
-68.7	68.7	90.2011	84.7088	77.3944
-68.8	68.8	90.3324	84.7798	77.4666
-68.9	68.9	90.4637	84.8587	77.5389
-69.0	69.0	90.595	84.9663	77.6111
-69.1	69.1	90.7263	85.0507	77.6833
-69.2	69.2	90.8576	85.1314	77.7555
-69.3	69.3	90.9889	85.2179	77.8277
-69.4	69.4	91.1202	85.3275	77.9
-69.5	69.5	91.2515	85.4039	77.9722
-69.6	69.6	91.3828	85.4938	78.0444
-69.7	69.7	91.5141	85.5769	78.1166
-69.8	69.8	91.6454	85.671	78.1889
-69.9	69.9	91.7766	85.7622	78.2611
-70.0	70.0	91.9079	85.8368	78.3333
-70.1	70.1	92.0392	85.9241	78.4055
-70.2	70.2	92.1705	86.0162	78.4777
-70.3	70.3	92.3018	86.1084	78.55
-70.4	70.4	92.4331	86.2052	78.6222
-70.5	70.5	92.5644	86.2802	78.6944
-70.6	70.6	92.6957	86.3679	78.7666
-70.7	70.7	92.827	86.4618	78.8389
-70.8	70.8	92.9583	86.5683	78.9111
-70.9	70.9	93.0896	86.6614	78.9833
-71.0	71.0	93.2209	86.7569	79.0555
-71.1	71.1	93.3522	86.84	79.1277
-71.2	71.2	93.4835	86.9175	79.2
-71.3	71.3	93.6148	87.0142	79.2722
-71.4	71.4	93.7461	87.1145	79.3444
-71.5	71.5	93.8774	87.1838	79.4166
-71.6	71.6	94.0087	87.2791	79.4889
-71.7	71.7	94.14	87.3435	79.5611
-71.8	71.8	94.2713	87.4328	79.6333
-71.9	71.9	94.4026	87.5215	79.7055
-72.0	72.0	94.5339	87.6	79.7778
-72.1	72.1	94.6652	87.6738	79.85
-72.2	72.2	94.7965	87.7499	79.9222
-72.3	72.3	94.9278	87.826	79.9944
-72.4	72.4	95.0591	87.9021	80.0666
-72.5	72.5	95.1904	87.9782	80.1389
-72.6	72.6	95.3217	88.0552	80.2111
-72.7	72.7	95.453	88.1501	80.2833
-72.8	72.8	95.5843	88.234	80.3555
-72.9	72.9	95.7156	88.3103	80.4278
-73.0	73.0	95.8469	88.3895	80.5
-73.1	73.1	95.9782	88.4939	80.5722
-73.2	73.2	96.1095	88.5869	80.6444
-73.3	73.3	96.2407	88.6797	80.7166
-73.4	73.4	96.372	88.7841	80.7889
-73.5	73.5	96.5033	88.8808	80.8611
-73.6	73.6	96.6346	88.9657	80.9333
-73.7	73.7	96.7659	89.046	81.0055
-73.8	73.8	96.8972	89.0987	81.0778
-73.9	73.9	97.0285	89.1655	81.15
-74.0	74.0	97.1598	89.2687	81.2222
-74.1	74.1	97.2911	89.3536	81.2944
-74.2	74.2	97.4224	89.4387	81.3666
-74.3	74.3	97.5537	89.5239	81.4389
-74.4	74.4	97.685	89.5888	81.5111
-74.5	74.5	97.8163	89.6786	81.5833
-74.6	74.6	97.9476	89.7495	81.6555
-74.7	74.7	98.0789	89.8187	81.7278
-74.8	74.8	98.2102	89.8918	81.8
-74.9	74.9	98.3415	89.9798	81.8722
-75.0	75.0	98.4728	90.0598	81.9444
-75.1	75.1	98.6041	90.1248	82.0166
-75.2	75.2	98.7354	90.197	82.0889
-75.3	75.3	98.8667	90.2702	82.1611
-75.4	75.4	98.998	90.3496	82.2333
-75.5	75.5	99.1293	90.4093	82.3055
-75.6	75.6	99.2606	90.4921	82.3778
-75.7	75.7	99.3919	90.5854	82.45
-75.8	75.8	99.5232	90.6664	82.5222
-75.9	75.9	99.6545	90.7595	82.5944
-76.0	76.0	99.7858	90.8355	82.6666
-76.1	76.1	99.9171	90.9091	82.7389
-76.2	76.2	100	91.0035	82.8111
-76.3	76.3	100	91.0861	82.8833
-76.4	76.4	100	91.1631	82.9555
-76.5	76.5	100	91.2584	83.0278
-76.6	76.6	100	91.3642	83.1
-76.7	76.7	100	91.4293	83.1722
-76.8	76.8	100	91.5154	83.2444
-76.9	76.9	100	91.5856	83.3166
-77.0	77.0	100	91.6802	83.3889
-77.1	77.1	100	91.7633	83.4611
-77.2	77.2	100	91.823	83.5333
-77.3	77.3	100	91.8802	83.6055
-77.4	77.4	100	91.9571	83.6778
-77.5	77.5	100	92.0379	83.75
-77.6	77.6	100	92.1132	83.8222
-77.7	77.7	100	92.1892	83.8944
-77.8	77.8	100	92.2487	83.9666
-77.9	77.9	100	92.3208	84.0389
-78.0	78.0	100	92.3882	84.1111
-78.1	78.1	100	92.4731	84.1833
-78.2	78.2	100	92.5458	84.2555
-78.3	78.3	100	92.6319	84.3278
-78.4	78.4	100	92.7212	84.4
-78.5	78.5	100	92.7885	84.4722
-78.6	78.6	100	92.8645	84.5444
-78.7	78.7	100	92.9345	84.6166
-78.8	78.8	100	93.0191	84.6889
-78.9	78.9	100	93.0939	84.7611
-79.0	79.0	100	93.1676	84.8333
-79.1	79.1	100	93.2279	84.9055
-79.2	79.2	100	93.2941	84.9778
-79.3	79.3	100	93.3371	85.05
-79.4	79.4	100	93.4115	85.1222
-79.5	79.5	100	93.4809	85.1944
-79.6	79.6	100	93.5531	85.2666
-79.7	79.7	100	93.6377	85.3389
-79.8	79.8	100	93.7124	85.4111
-79.9	79.9	100	93.799	85.4833
-80.0	80.0	100	93.8866	85.5555
-80.1	80.1	100	93.9949	85.6278
-80.2	80.2	100	94.0529	85.7
-80.3	80.3	100	94.1206	85.7722
-80.4	80.4	100	94.1945	85.8444
-80.5	80.5	100	94.2529	85.9166
-80.6	80.6	100	94.3178	85.9889
-80.7	80.7	100	94.3627	86.0611
-80.8	80.8	100	94.416	86.1333
-80.9	80.9	100	94.5005	86.2055
-81.0	81.0	100	94.5622	86.2778
-81.1	81.1	100	94.6264	86.35
-81.2	81.2	100	94.6802	86.4222
-81.3	81.3	100	94.7524	86.4944
-81.4	81.4	100	94.8119	86.5666
-81.5	81.5	100	94.8608	86.6389
-81.6	81.6	100	94.9266	86.7111
-81.7	81.7	100	95.0007	86.7833
-81.8	81.8	100	95.0634	86.8555
-81.9	81.9	100	95.1245	86.9278
-82.0	82.0	100	95.1828	87
-82.1	82.1	100	95.2483	87.0722
-82.2	82.2	100	95.3012	87.1444
-82.3	82.3	100	95.3645	87.2166
-82.4	82.4	100	95.4168	87.2889
-82.5	82.5	100	95.4709	87.3611
-82.6	82.6	100	95.531	87.4333
-82.7	82.7	100	95.5928	87.5055
-82.8	82.8	100	95.647	87.5778
-82.9	82.9	100	95.7032	87.65
-83.0	83.0	100	95.7744	87.7222
-83.1	83.1	100	95.8441	87.7944
-83.2	83.2	100	95.8955	87.8667
-83.3	83.3	100	95.9707	87.9389
-83.4	83.4	100	96.0333	88.0111
-83.5	83.5	100	96.0875	88.0833
-83.6	83.6	100	96.1559	88.1555
-83.7	83.7	100	96.2342	88.2278
-83.8	83.8	100	96.3022	88.3
-83.9	83.9	100	96.3505	88.3722
-84.0	84.0	100	96.3859	88.4444
-84.1	84.1	100	96.4359	88.5167
-84.2	84.2	100	96.4986	88.5889
-84.3	84.3	100	96.5723	88.6611
-84.4	84.4	100	96.6262	88.7333
-84.5	84.5	100	96.6819	88.8055
-84.6	84.6	100	96.7287	88.8778
-84.7	84.7	100	96.7771	88.95
-84.8	84.8	100	96.8227	89.0222
-84.9	84.9	100	96.8878	89.0944
-85.0	85.0	100	96.9507	89.1667
-85.1	85.1	100	96.9949	89.2389
-85.2	85.2	100	97.0522	89.3111
-85.3	85.3	100	97.0971	89.3833
-85.4	85.4	100	97.1423	89.4555
-85.5	85.5	100	97.2151	89.5278
-85.6	85.6	100	97.2796	89.6
-85.7	85.7	100	97.3362	89.6722
-85.8	85.8	100	97.3841	89.7444
-85.9	85.9	100	97.4471	89.8167
-86.0	86.0	100	97.4783	89.8889
-86.1	86.1	100	97.5149	89.9611
-86.2	86.2	100	97.5542	90.0333
-86.3	86.3	100	97.6024	90.1055
-86.4	86.4	100	97.6423	90.1778
-86.5	86.5	100	97.6719	90.25
-86.6	86.6	100	97.7169	90.3222
-86.7	86.7	100	97.7637	90.3944
-86.8	86.8	100	97.8331	90.4667
-86.9	86.9	100	97.8585	90.5389
-87.0	87.0	100	97.8872	90.6111
-87.1	87.1	100	97.9335	90.6833
-87.2	87.2	100	97.9839	90.7555
-87.3	87.3	100	98.0517	90.8278
-87.4	87.4	100	98.0706	90.9
-87.5	87.5	100	98.1136	90.9722
-87.6	87.6	100	98.1597	91.0444
-87.7	87.7	100	98.2064	91.1167
-87.8	87.8	100	98.2458	91.1889
-87.9	87.9	100	98.2783	91.2611
-88.0	88.0	100	98.3001	91.3333
-88.1	88.1	100	98.3441	91.4055
-88.2	88.2	100	98.3975	91.4778
-88.3	88.3	100	98.45	91.55
-88.4	88.4	100	98.5027	91.6222
-88.5	88.5	100	98.5477	91.6944
-88.6	88.6	100	98.5944	91.7667
-88.7	88.7	100	98.6108	91.8389
-88.8	88.8	100	98.6449	91.9111
-88.9	88.9	100	98.694	91.9833
-89.0	89.0	100	98.7332	92.0555
-89.1	89.1	100	98.7831	92.1278
-89.2	89.2	100	98.8341	92.2
-89.3	89.3	100	98.8876	92.2722
-89.4	89.4	100	98.9271	92.3444
-89.5	89.5	100	98.9532	92.4167
-89.6	89.6	100	98.9885	92.4889
-89.7	89.7	100	99.0207	92.5611
-89.8	89.8	100	99.0699	92.6333
-89.9	89.9	100	99.1043	92.7055
-90.0	90.0	100	99.1405	92.7778
-90.1	90.1	100	99.1889	92.85
-90.2	90.2	100	99.2352	92.9222
-90.3	90.3	100	99.25	92.9944
-90.4	90.4	100	99.2725	93.0667
-90.5	90.5	100	99.2836	93.1389
-90.6	90.6	100	99.3001	93.2111
-90.7	90.7	100	99.3577	93.2833
-90.8	90.8	100	99.3776	93.3555
-90.9	90.9	100	99.4184	93.4278
-91.0	91.0	100	99.4427	93.5
-91.1	91.1	100	99.4624	93.5722
-91.2	91.2	100	99.5032	93.6444
-91.3	91.3	100	99.5529	93.7167
-91.4	91.4	100	99.5698	93.7889
-91.5	91.5	100	99.5901	93.8611
-91.6	91.6	100	99.6326	93.9333
-91.7	91.7	100	99.6672	94.0055
-91.8	91.8	100	99.685	94.0778
-91.9	91.9	100	99.708	94.15
-92.0	92.0	100	99.7195	94.2222
-92.1	92.1	100	99.7234	94.2944
-92.2	92.2	100	99.7541	94.3667
-92.3	92.3	100	99.7638	94.4389
-92.4	92.4	100	99.7783	94.5111
-92.5	92.5	100	99.8002	94.5833
-92.6	92.6	100	99.8169	94.6555
-92.7	92.7	100	99.8617	94.7278
-92.8	92.8	100	99.8771	94.8
-92.9	92.9	100	99.8886	94.8722
-93.0	93.0	100	99.91	94.9444
-93.1	93.1	100	99.927	95.0167
-93.2	93.2	100	99.9347	95.0889
-93.3	93.3	100	99.9501	95.1611
-93.4	93.4	100	99.9616	95.2333
-93.5	93.5	100	99.9654	95.3055
-93.6	93.6	100	99.9654	95.3778
-93.7	93.7	100	99.9731	95.45
-93.8	93.8	100	99.9731	95.5222
-93.9	93.9	100	99.9731	95.5944
-94.0	94.0	100	99.9731	95.6667
-94.1	94.1	100	99.9769	95.7389
-94.2	94.2	100	99.9769	95.8111
-94.3	94.3	100	99.9808	95.8833
-94.4	94.4	100	99.9885	95.9556
-94.5	94.5	100	99.9923	96.0278
-94.6	94.6	100	99.9923	96.1
-94.7	94.7	100	99.9923	96.1722
-94.8	94.8	100	99.9923	96.2444
-94.9	94.9	100	99.9962	96.3167
-95.0	95.0	100	99.9962	96.3889
-95.1	95.1	100	99.9962	96.4611
-95.2	95.2	100	99.9962	96.5333
-95.3	95.3	100	99.9962	96.6056
-95.4	95.4	100	99.9962	96.6778
-95.5	95.5	100	99.9962	96.75
-95.6	95.6	100	99.9962	96.8222
-95.7	95.7	100	100	96.8944
-95.8	95.8	100	100	96.9667
-95.9	95.9	100	100	97.0389
-96.0	96.0	100	100	97.1111
-96.1	96.1	100	100	97.1833
-96.2	96.2	100	100	97.2556
-96.3	96.3	100	100	97.3278
-96.4	96.4	100	100	97.4
-96.5	96.5	100	100	97.4722
-96.6	96.6	100	100	97.5444
-96.7	96.7	100	100	97.6167
-96.8	96.8	100	100	97.6889
-96.9	96.9	100	100	97.7611
-97.0	97.0	100	100	97.8333
-97.1	97.1	100	100	97.9056
-97.2	97.2	100	100	97.9778
-97.3	97.3	100	100	98.05
-97.4	97.4	100	100	98.1222
-97.5	97.5	100	100	98.1944
-97.6	97.6	100	100	98.2667
-97.7	97.7	100	100	98.3389
-97.8	97.8	100	100	98.4111
-97.9	97.9	100	100	98.4833
-98.0	98.0	100	100	98.5556
-98.1	98.1	100	100	98.6278
-98.2	98.2	100	100	98.7
-98.3	98.3	100	100	98.7722
-98.4	98.4	100	100	98.8444
-98.5	98.5	100	100	98.9167
-98.6	98.6	100	100	98.9889
-98.7	98.7	100	100	99.0611
-98.8	98.8	100	100	99.1333
-98.9	98.9	100	100	99.2056
-99.0	99.0	100	100	99.2778
-99.1	99.1	100	100	99.35
-99.2	99.2	100	100	99.4222
-99.3	99.3	100	100	99.4944
-99.4	99.4	100	100	99.5667
-99.5	99.5	100	100	99.6389
-99.6	99.6	100	100	99.7111
-99.7	99.7	100	100	99.7833
-99.8	99.8	100	100	99.8556
-99.9	99.9	100	100	99.9278
-100.0	100.0	100	100	100
-
-Lift curves	more
-Size	Random	Optimal	Selective Naive Bayes	Univariate relationship
-0.0	0.0	0	0	0
-0.1	0.1	0.419519	0.419519	0.188755
-0.2	0.2	0.839038	0.839038	0.37751
-0.3	0.3	1.25856	1.25856	0.566265
-0.4	0.4	1.67808	1.67808	0.75502
-0.5	0.5	2.09759	2.09759	0.943775
-0.6	0.6	2.51711	2.51711	1.13253
-0.7	0.7	2.93663	2.93663	1.32128
-0.8	0.8	3.35615	3.35615	1.51004
-0.9	0.9	3.77567	3.77567	1.69879
-1.0	1.0	4.19519	4.19519	1.88755
-1.1	1.1	4.61471	4.61471	2.0763
-1.2	1.2	5.03423	5.03423	2.26506
-1.3	1.3	5.45374	5.45374	2.45381
-1.4	1.4	5.87326	5.87326	2.64257
-1.5	1.5	6.29278	6.29278	2.83132
-1.6	1.6	6.7123	6.7123	3.02008
-1.7	1.7	7.13182	7.13182	3.20883
-1.8	1.8	7.55134	7.55134	3.39759
-1.9	1.9	7.97086	7.97086	3.58634
-2.0	2.0	8.39038	8.39038	3.7751
-2.1	2.1	8.80989	8.80989	3.96385
-2.2	2.2	9.22941	9.22941	4.15261
-2.3	2.3	9.64893	9.64893	4.34136
-2.4	2.4	10.0685	10.0685	4.53012
-2.5	2.5	10.488	10.488	4.71887
-2.6	2.6	10.9075	10.9075	4.90763
-2.7	2.7	11.327	11.327	5.09638
-2.8	2.8	11.7465	11.7465	5.28514
-2.9	2.9	12.166	12.166	5.47389
-3.0	3.0	12.5856	12.5856	5.66265
-3.1	3.1	13.0051	13.0051	5.8514
-3.2	3.2	13.4246	13.4246	6.04016
-3.3	3.3	13.8441	13.8441	6.22891
-3.4	3.4	14.2636	14.2636	6.41767
-3.5	3.5	14.6832	14.6832	6.60642
-3.6	3.6	15.1027	15.1027	6.79518
-3.7	3.7	15.5222	15.5222	6.98393
-3.8	3.8	15.9417	15.9417	7.17269
-3.9	3.9	16.3612	16.3612	7.36144
-4.0	4.0	16.7808	16.7808	7.5502
-4.1	4.1	17.2003	17.2003	7.73895
-4.2	4.2	17.6198	17.6198	7.92771
-4.3	4.3	18.0393	18.0393	8.11646
-4.4	4.4	18.4588	18.4466	8.30522
-4.5	4.5	18.8783	18.8661	8.49397
-4.6	4.6	19.2979	19.2856	8.68273
-4.7	4.7	19.7174	19.7051	8.87148
-4.8	4.8	20.1369	20.1246	9.06024
-4.9	4.9	20.5564	20.5441	9.24899
-5.0	5.0	20.9759	20.9637	9.43775
-5.1	5.1	21.3955	21.3832	9.6265
-5.2	5.2	21.815	21.7904	9.81525
-5.3	5.3	22.2345	22.2099	10.004
-5.4	5.4	22.654	22.6295	10.1928
-5.5	5.5	23.0735	23.049	10.3815
-5.6	5.6	23.4931	23.4562	10.5703
-5.7	5.7	23.9126	23.8512	10.759
-5.8	5.8	24.3321	24.2584	10.9478
-5.9	5.9	24.7516	24.678	11.1365
-6.0	6.0	25.1711	25.0852	11.3253
-6.1	6.1	25.5906	25.5047	11.514
-6.2	6.2	26.0102	25.9242	11.7028
-6.3	6.3	26.4297	26.3438	11.8916
-6.4	6.4	26.8492	26.7387	12.0803
-6.5	6.5	27.2687	27.1582	12.2691
-6.6	6.6	27.6882	27.5655	12.4578
-6.7	6.7	28.1078	27.9482	12.6466
-6.8	6.8	28.5273	28.3186	12.8353
-6.9	6.9	28.9468	28.7136	13.0241
-7.0	7.0	29.3663	29.0787	13.2128
-7.1	7.1	29.7858	29.4298	13.4016
-7.2	7.2	30.2054	29.8125	13.5904
-7.3	7.3	30.6249	30.1829	13.7791
-7.4	7.4	31.0444	30.4595	13.9679
-7.5	7.5	31.4639	30.8256	14.1566
-7.6	7.6	31.8834	31.1751	14.3454
-7.7	7.7	32.3029	31.5483	14.5341
-7.8	7.8	32.7225	31.9368	14.7229
-7.9	7.9	33.142	32.2581	14.9116
-8.0	8.0	33.5615	32.6654	15.1004
-8.1	8.1	33.981	33.048	15.2891
-8.2	8.2	34.4005	33.3939	15.4779
-8.3	8.3	34.8201	33.7568	15.6667
-8.4	8.4	35.2396	34.0656	15.8554
-8.5	8.5	35.6591	34.3494	16.0442
-8.6	8.6	36.0786	34.7041	16.2329
-8.7	8.7	36.4981	35.0695	16.4217
-8.8	8.8	36.9177	35.3302	16.6104
-8.9	8.9	37.3372	35.6196	16.7992
-9.0	9.0	37.7567	35.9761	16.9879
-9.1	9.1	38.1762	36.318	17.1767
-9.2	9.2	38.5957	36.6069	17.3655
-9.3	9.3	39.0152	36.9629	17.5542
-9.4	9.4	39.4348	37.1984	17.743
-9.5	9.5	39.8543	37.5651	17.9317
-9.6	9.6	40.2738	37.9493	18.1205
-9.7	9.7	40.6933	38.2968	18.3092
-9.8	9.8	41.1128	38.6693	18.498
-9.9	9.9	41.5324	38.9407	18.6867
-10.0	10.0	41.9519	39.2057	18.8755
-10.1	10.1	42.3714	39.5095	19.0642
-10.2	10.2	42.7909	39.8191	19.253
-10.3	10.3	43.2104	40.0814	19.4418
-10.4	10.4	43.63	40.398	19.6305
-10.5	10.5	44.0495	40.7048	19.8193
-10.6	10.6	44.469	41.0408	20.008
-10.7	10.7	44.8885	41.3341	20.1968
-10.8	10.8	45.308	41.5829	20.3855
-10.9	10.9	45.7275	41.8392	20.5743
-11.0	11.0	46.1471	42.0995	20.763
-11.1	11.1	46.5666	42.3937	20.9518
-11.2	11.2	46.9861	42.6562	21.1405
-11.3	11.3	47.4056	42.9668	21.3293
-11.4	11.4	47.8251	43.3339	21.5181
-11.5	11.5	48.2447	43.6043	21.7068
-11.6	11.6	48.6642	43.8799	21.8956
-11.7	11.7	49.0837	44.1311	22.0843
-11.8	11.8	49.5032	44.3828	22.2731
-11.9	11.9	49.9227	44.6319	22.4618
-12.0	12.0	50.3423	44.9107	22.6506
-12.1	12.1	50.7618	45.2605	22.8393
-12.2	12.2	51.1813	45.5764	23.0281
-12.3	12.3	51.6008	45.87	23.2169
-12.4	12.4	52.0203	46.1401	23.4056
-12.5	12.5	52.4398	46.4123	23.5944
-12.6	12.6	52.8594	46.6946	23.7831
-12.7	12.7	53.2789	47.0538	23.9719
-12.8	12.8	53.6984	47.2565	24.1606
-12.9	12.9	54.1179	47.5149	24.3494
-13.0	13.0	54.5374	47.7866	24.5381
-13.1	13.1	54.957	48.1143	24.7269
-13.2	13.2	55.3765	48.4528	24.9156
-13.3	13.3	55.796	48.6505	25.1044
-13.4	13.4	56.2155	48.9206	25.2932
-13.5	13.5	56.635	49.1964	25.4819
-13.6	13.6	57.0546	49.5212	25.6707
-13.7	13.7	57.4741	49.8133	25.8594
-13.8	13.8	57.8936	50.0787	26.0482
-13.9	13.9	58.3131	50.3728	26.2369
-14.0	14.0	58.7326	50.6753	26.4257
-14.1	14.1	59.1521	50.9952	26.6144
-14.2	14.2	59.5717	51.2135	26.8032
-14.3	14.3	59.9912	51.48	26.992
-14.4	14.4	60.4107	51.7186	27.1807
-14.5	14.5	60.8302	51.932	27.3695
-14.6	14.6	61.2497	52.1189	27.5582
-14.7	14.7	61.6693	52.3939	27.747
-14.8	14.8	62.0888	52.67	27.9357
-14.9	14.9	62.5083	52.9063	28.1245
-15.0	15.0	62.9278	53.1846	28.3132
-15.1	15.1	63.3473	53.4033	28.502
-15.2	15.2	63.7669	53.6146	28.6907
-15.3	15.3	64.1864	53.8885	28.8795
-15.4	15.4	64.6059	54.1535	29.0683
-15.5	15.5	65.0254	54.4233	29.257
-15.6	15.6	65.4449	54.6649	29.4458
-15.7	15.7	65.8644	54.9123	29.6345
-15.8	15.8	66.284	55.0962	29.8233
-15.9	15.9	66.7035	55.3155	30.012
-16.0	16.0	67.123	55.5754	30.2008
-16.1	16.1	67.5425	55.8816	30.3895
-16.2	16.2	67.962	56.1469	30.5783
-16.3	16.3	68.3816	56.3492	30.767
-16.4	16.4	68.8011	56.5185	30.9558
-16.5	16.5	69.2206	56.7193	31.1446
-16.6	16.6	69.6401	56.9659	31.3333
-16.7	16.7	70.0596	57.1851	31.5221
-16.8	16.8	70.4792	57.3645	31.7108
-16.9	16.9	70.8987	57.6197	31.8996
-17.0	17.0	71.3182	57.8166	32.0883
-17.1	17.1	71.7377	58.0086	32.2771
-17.2	17.2	72.1572	58.2486	32.4658
-17.3	17.3	72.5767	58.495	32.6546
-17.4	17.4	72.9963	58.7171	32.8434
-17.5	17.5	73.4158	58.9444	33.0321
-17.6	17.6	73.8353	59.1912	33.2209
-17.7	17.7	74.2548	59.4435	33.4096
-17.8	17.8	74.6743	59.6608	33.5984
-17.9	17.9	75.0939	59.9112	33.7871
-18.0	18.0	75.5134	60.1214	33.9759
-18.1	18.1	75.9329	60.3547	34.1646
-18.2	18.2	76.3524	60.5789	34.3534
-18.3	18.3	76.7719	60.7981	34.5421
-18.4	18.4	77.1915	60.9809	34.7309
-18.5	18.5	77.611	61.1902	34.9197
-18.6	18.6	78.0305	61.4535	35.1084
-18.7	18.7	78.45	61.6829	35.2972
-18.8	18.8	78.8695	61.8719	35.4859
-18.9	18.9	79.289	62.1195	35.6747
-19.0	19.0	79.7086	62.3339	35.8634
-19.1	19.1	80.1281	62.5561	36.0522
-19.2	19.2	80.5476	62.7056	36.2409
-19.3	19.3	80.9671	62.9548	36.4297
-19.4	19.4	81.3866	63.231	36.6185
-19.5	19.5	81.8062	63.4432	36.8072
-19.6	19.6	82.2257	63.6761	36.996
-19.7	19.7	82.6452	63.8596	37.1847
-19.8	19.8	83.0647	64.0627	37.3735
-19.9	19.9	83.4842	64.2969	37.5622
-20.0	20.0	83.9038	64.3702	37.751
-20.1	20.1	84.3233	64.5101	37.9397
-20.2	20.2	84.7428	64.6527	38.1285
-20.3	20.3	85.1623	64.8337	38.3172
-20.4	20.4	85.5818	64.9828	38.506
-20.5	20.5	86.0014	65.1717	38.6948
-20.6	20.6	86.4209	65.3695	38.8835
-20.7	20.7	86.8404	65.5513	39.0723
-20.8	20.8	87.2599	65.8332	39.261
-20.9	20.9	87.6794	66.0412	39.4498
-21.0	21.0	88.0989	66.2683	39.6385
-21.1	21.1	88.5185	66.4521	39.8273
-21.2	21.2	88.938	66.6326	40.016
-21.3	21.3	89.3575	66.782	40.2048
-21.4	21.4	89.777	66.9777	40.3935
-21.5	21.5	90.1965	67.1546	40.5823
-21.6	21.6	90.6161	67.3591	40.7711
-21.7	21.7	91.0356	67.4932	40.9598
-21.8	21.8	91.4551	67.6375	41.1486
-21.9	21.9	91.8746	67.8247	41.3373
-22.0	22.0	92.2941	67.9732	41.5261
-22.1	22.1	92.7137	68.1772	41.7148
-22.2	22.2	93.1332	68.3664	41.9036
-22.3	22.3	93.5527	68.5958	42.0923
-22.4	22.4	93.9722	68.7723	42.2811
-22.5	22.5	94.3917	68.9515	42.4699
-22.6	22.6	94.8112	69.1126	42.6586
-22.7	22.7	95.2308	69.2863	42.8474
-22.8	22.8	95.6503	69.5233	43.0361
-22.9	22.9	96.0698	69.752	43.2249
-23.0	23.0	96.4893	69.9061	43.4136
-23.1	23.1	96.9088	70.0233	43.6024
-23.2	23.2	97.3284	70.2185	43.7911
-23.3	23.3	97.7479	70.363	43.9799
-23.4	23.4	98.1674	70.5745	44.1686
-23.5	23.5	98.5869	70.6559	44.3574
-23.6	23.6	99.0064	70.7709	44.5462
-23.7	23.7	99.426	70.9443	44.7349
-23.8	23.8	99.8455	71.1	44.9237
-23.9	23.9	100	71.218	45.1124
-24.0	24.0	100	71.4023	45.3012
-24.1	24.1	100	71.579	45.4899
-24.2	24.2	100	71.701	45.6787
-24.3	24.3	100	71.8615	45.8674
-24.4	24.4	100	71.9829	46.0562
-24.5	24.5	100	72.1381	46.245
-24.6	24.6	100	72.3668	46.4337
-24.7	24.7	100	72.5326	46.6225
-24.8	24.8	100	72.7184	46.8112
-24.9	24.9	100	72.9069	47
-25.0	25.0	100	73.119	47.1887
-25.1	25.1	100	73.2827	47.3775
-25.2	25.2	100	73.4211	47.5662
-25.3	25.3	100	73.6069	47.755
-25.4	25.4	100	73.8055	47.9437
-25.5	25.5	100	73.9984	48.1325
-25.6	25.6	100	74.131	48.3213
-25.7	25.7	100	74.3432	48.51
-25.8	25.8	100	74.4905	48.6988
-25.9	25.9	100	74.638	48.8875
-26.0	26.0	100	74.7862	49.0763
-26.1	26.1	100	74.8762	49.265
-26.2	26.2	100	75.0821	49.4538
-26.3	26.3	100	75.3334	49.6425
-26.4	26.4	100	75.4964	49.8313
-26.5	26.5	100	75.6445	50.02
-26.6	26.6	100	75.755	50.2088
-26.7	26.7	100	75.8409	50.3976
-26.8	26.8	100	75.9642	50.5863
-26.9	26.9	100	76.0864	50.7751
-27.0	27.0	100	76.1724	50.9638
-27.1	27.1	100	76.3387	51.1526
-27.2	27.2	100	76.5146	51.3413
-27.3	27.3	100	76.666	51.5301
-27.4	27.4	100	76.7822	51.7188
-27.5	27.5	100	76.9557	51.9076
-27.6	27.6	100	77.1321	52.0964
-27.7	27.7	100	77.3085	52.2851
-27.8	27.8	100	77.4849	52.4739
-27.9	27.9	100	77.6613	52.6626
-28.0	28.0	100	77.845	52.8514
-28.1	28.1	100	78.0137	53.0401
-28.2	28.2	100	78.1496	53.2289
-28.3	28.3	100	78.2838	53.4176
-28.4	28.4	100	78.4976	53.6064
-28.5	28.5	100	78.6128	53.7951
-28.6	28.6	100	78.8107	53.9839
-28.7	28.7	100	78.9099	54.1727
-28.8	28.8	100	79.0204	54.3614
-28.9	28.9	100	79.1922	54.5502
-29.0	29.0	100	79.3463	54.7389
-29.1	29.1	100	79.4606	54.9277
-29.2	29.2	100	79.5827	55.1164
-29.3	29.3	100	79.6619	55.3052
-29.4	29.4	100	79.7815	55.4939
-29.5	29.5	100	79.9206	55.6827
-29.6	29.6	100	80.1007	55.8715
-29.7	29.7	100	80.2107	56.0602
-29.8	29.8	100	80.3358	56.249
-29.9	29.9	100	80.461	56.4377
-30.0	30.0	100	80.6017	56.6265
-30.1	30.1	100	80.7826	56.8152
-30.2	30.2	100	80.9109	57.004
-30.3	30.3	100	81.0296	57.1927
-30.4	30.4	100	81.1837	57.3815
-30.5	30.5	100	81.316	57.5702
-30.6	30.6	100	81.4915	57.759
-30.7	30.7	100	81.5608	57.9478
-30.8	30.8	100	81.7038	58.1365
-30.9	30.9	100	81.8655	58.3253
-31.0	31.0	100	82.0153	58.514
-31.1	31.1	100	82.091	58.7028
-31.2	31.2	100	82.2583	58.8915
-31.3	31.3	100	82.451	59.0803
-31.4	31.4	100	82.5802	59.269
-31.5	31.5	100	82.769	59.4578
-31.6	31.6	100	82.9249	59.6465
-31.7	31.7	100	83.0857	59.8353
-31.8	31.8	100	83.2597	60.0241
-31.9	31.9	100	83.4091	60.2128
-32.0	32.0	100	83.5531	60.4016
-32.1	32.1	100	83.7098	60.5903
-32.2	32.2	100	83.8449	60.7791
-32.3	32.3	100	83.9764	60.9678
-32.4	32.4	100	84.1126	61.1566
-32.5	32.5	100	84.2488	61.3453
-32.6	32.6	100	84.3959	61.5341
-32.7	32.7	100	84.5255	61.7229
-32.8	32.8	100	84.655	61.9116
-32.9	32.9	100	84.7655	62.1004
-33.0	33.0	100	84.8269	62.2891
-33.1	33.1	100	84.9444	62.4779
-33.2	33.2	100	85.0696	62.6666
-33.3	33.3	100	85.1829	62.8554
-33.4	33.4	100	85.2303	63.0441
-33.5	33.5	100	85.2787	63.2329
-33.6	33.6	100	85.3302	63.4216
-33.7	33.7	100	85.453	63.6104
-33.8	33.8	100	85.6524	63.7992
-33.9	33.9	100	85.7476	63.9879
-34.0	34.0	100	85.8591	64.1767
-34.1	34.1	100	85.9931	64.3654
-34.2	34.2	100	86.0877	64.5542
-34.3	34.3	100	86.2141	64.7429
-34.4	34.4	100	86.3474	64.9317
-34.5	34.5	100	86.5091	65.1204
-34.6	34.6	100	86.6084	65.3092
-34.7	34.7	100	86.7191	65.498
-34.8	34.8	100	86.8335	65.6867
-34.9	34.9	100	87.0243	65.8755
-35.0	35.0	100	87.1471	66.0642
-35.1	35.1	100	87.2735	66.253
-35.2	35.2	100	87.3813	66.4417
-35.3	35.3	100	87.4714	66.6305
-35.4	35.4	100	87.6	66.8192
-35.5	35.5	100	87.6659	67.008
-35.6	35.6	100	87.7854	67.1967
-35.7	35.7	100	87.8843	67.3855
-35.8	35.8	100	88.0064	67.5743
-35.9	35.9	100	88.1471	67.763
-36.0	36.0	100	88.2529	67.9518
-36.1	36.1	100	88.306	68.1405
-36.2	36.2	100	88.4322	68.3293
-36.3	36.3	100	88.529	68.518
-36.4	36.4	100	88.5684	68.7068
-36.5	36.5	100	88.5936	68.8955
-36.6	36.6	100	88.6693	69.0843
-36.7	36.7	100	88.7681	69.273
-36.8	36.8	100	88.8784	69.4618
-36.9	36.9	100	88.9542	69.6506
-37.0	37.0	100	88.9885	69.8393
-37.1	37.1	100	89.1235	70.0281
-37.2	37.2	100	89.2267	70.2168
-37.3	37.3	100	89.3813	70.4056
-37.4	37.4	100	89.4672	70.5943
-37.5	37.5	100	89.5777	70.7831
-37.6	37.6	100	89.7236	70.9718
-37.7	37.7	100	89.7692	71.1606
-37.8	37.8	100	89.8235	71.3494
-37.9	37.9	100	89.8723	71.5381
-38.0	38.0	100	89.9951	71.7269
-38.1	38.1	100	90.0845	71.9156
-38.2	38.2	100	90.167	72.1044
-38.3	38.3	100	90.2382	72.2931
-38.4	38.4	100	90.3404	72.4819
-38.5	38.5	100	90.3986	72.6706
-38.6	38.6	100	90.437	72.8594
-38.7	38.7	100	90.4679	73.0481
-38.8	38.8	100	90.5163	73.2369
-38.9	38.9	100	90.5928	73.4257
-39.0	39.0	100	90.7299	73.6144
-39.1	39.1	100	90.793	73.8032
-39.2	39.2	100	90.8907	73.9919
-39.3	39.3	100	90.9894	74.1807
-39.4	39.4	100	91.0877	74.3694
-39.5	39.5	100	91.1825	74.5582
-39.6	39.6	100	91.2227	74.7469
-39.7	39.7	100	91.2595	74.9357
-39.8	39.8	100	91.3332	75.1245
-39.9	39.9	100	91.4366	75.3132
-40.0	40.0	100	91.5419	75.502
-40.1	40.1	100	91.6036	75.6907
-40.2	40.2	100	91.6591	75.8795
-40.3	40.3	100	91.7137	76.0682
-40.4	40.4	100	91.7959	76.257
-40.5	40.5	100	91.8733	76.4457
-40.6	40.6	100	91.9838	76.6345
-40.7	40.7	100	92.082	76.8232
-40.8	40.8	100	92.1557	77.012
-40.9	40.9	100	92.2715	77.2008
-41.0	41.0	100	92.3275	77.3895
-41.1	41.1	100	92.3501	77.5783
-41.2	41.2	100	92.4626	77.767
-41.3	41.3	100	92.4994	77.9558
-41.4	41.4	100	92.543	78.1445
-41.5	41.5	100	92.659	78.3333
-41.6	41.6	100	92.7081	78.522
-41.7	41.7	100	92.7326	78.7108
-41.8	41.8	100	92.794	78.8995
-41.9	41.9	100	92.8307	79.0883
-42.0	42.0	100	92.93	79.2771
-42.1	42.1	100	92.9841	79.4658
-42.2	42.2	100	93.029	79.6546
-42.3	42.3	100	93.0744	79.8433
-42.4	42.4	100	93.1241	80.0321
-42.5	42.5	100	93.2231	80.2208
-42.6	42.6	100	93.285	80.4096
-42.7	42.7	100	93.3237	80.5983
-42.8	42.8	100	93.3833	80.7871
-42.9	42.9	100	93.4692	80.9759
-43.0	43.0	100	93.5298	81.1646
-43.1	43.1	100	93.6288	81.3534
-43.2	43.2	100	93.6609	81.5421
-43.3	43.3	100	93.7147	81.7309
-43.4	43.4	100	93.77	81.9196
-43.5	43.5	100	93.8252	82.1084
-43.6	43.6	100	93.8864	82.2971
-43.7	43.7	100	93.8988	82.4859
-43.8	43.8	100	93.9406	82.6746
-43.9	43.9	100	94.0339	82.8634
-44.0	44.0	100	94.0707	83.0522
-44.1	44.1	100	94.1008	83.2409
-44.2	44.2	100	94.1444	83.4297
-44.3	44.3	100	94.2057	83.6184
-44.4	44.4	100	94.2426	83.8072
-44.5	44.5	100	94.2794	83.9959
-44.6	44.6	100	94.3408	84.1847
-44.7	44.7	100	94.3776	84.3734
-44.8	44.8	100	94.4144	84.5622
-44.9	44.9	100	94.5126	84.751
-45.0	45.0	100	94.6109	84.9397
-45.1	45.1	100	94.6477	85.1285
-45.2	45.2	100	94.7091	85.2412
-45.3	45.3	100	94.7459	85.2828
-45.4	45.4	100	94.8073	85.3244
-45.5	45.5	100	94.9062	85.366
-45.6	45.6	100	95.0037	85.4076
-45.7	45.7	100	95.0053	85.4491
-45.8	45.8	100	95.0528	85.4907
-45.9	45.9	100	95.0896	85.5323
-46.0	46.0	100	95.1387	85.5739
-46.1	46.1	100	95.1755	85.6155
-46.2	46.2	100	95.2181	85.6571
-46.3	46.3	100	95.2492	85.6986
-46.4	46.4	100	95.286	85.7402
-46.5	46.5	100	95.357	85.7818
-46.6	46.6	100	95.4579	85.8234
-46.7	46.7	100	95.5438	85.865
-46.8	46.8	100	95.616	85.9066
-46.9	46.9	100	95.6911	85.9481
-47.0	47.0	100	95.7034	85.9897
-47.1	47.1	100	95.736	86.0313
-47.2	47.2	100	95.8016	86.0729
-47.3	47.3	100	95.8262	86.1145
-47.4	47.4	100	95.863	86.1561
-47.5	47.5	100	95.9024	86.1977
-47.6	47.6	100	95.9367	86.2392
-47.7	47.7	100	95.9612	86.2808
-47.8	47.8	100	95.998	86.3224
-47.9	47.9	100	96.0013	86.364
-48.0	48.0	100	96.0471	86.4056
-48.1	48.1	100	96.0594	86.4472
-48.2	48.2	100	96.1208	86.4887
-48.3	48.3	100	96.2067	86.5303
-48.4	48.4	100	96.2518	86.5719
-48.5	48.5	100	96.2681	86.6135
-48.6	48.6	100	96.2681	86.6551
-48.7	48.7	100	96.3049	86.6967
-48.8	48.8	100	96.3418	86.7382
-48.9	48.9	100	96.3572	86.7798
-49.0	49.0	100	96.3786	86.8214
-49.1	49.1	100	96.3786	86.863
-49.2	49.2	100	96.3909	86.9046
-49.3	49.3	100	96.4154	86.9462
-49.4	49.4	100	96.4645	86.9878
-49.5	49.5	100	96.5136	87.0293
-49.6	49.6	100	96.5521	87.0709
-49.7	49.7	100	96.5627	87.1125
-49.8	49.8	100	96.575	87.1541
-49.9	49.9	100	96.5996	87.1957
-50.0	50.0	100	96.6333	87.2373
-50.1	50.1	100	96.6855	87.2788
-50.2	50.2	100	96.6978	87.3204
-50.3	50.3	100	96.6978	87.362
-50.4	50.4	100	96.7223	87.4036
-50.5	50.5	100	96.7473	87.4452
-50.6	50.6	100	96.7714	87.4868
-50.7	50.7	100	96.7721	87.5283
-50.8	50.8	100	96.8082	87.5699
-50.9	50.9	100	96.8205	87.6115
-51.0	51.0	100	96.8819	87.6531
-51.1	51.1	100	96.9065	87.6947
-51.2	51.2	100	96.931	87.7363
-51.3	51.3	100	96.9556	87.7779
-51.4	51.4	100	96.9924	87.8194
-51.5	51.5	100	97.0169	87.861
-51.6	51.6	100	97.0292	87.9026
-51.7	51.7	100	97.1029	87.9442
-51.8	51.8	100	97.1274	87.9858
-51.9	51.9	100	97.1669	88.0274
-52.0	52.0	100	97.2134	88.0689
-52.1	52.1	100	97.229	88.1105
-52.2	52.2	100	97.2625	88.1521
-52.3	52.3	100	97.2747	88.1937
-52.4	52.4	100	97.2993	88.2353
-52.5	52.5	100	97.3238	88.2769
-52.6	52.6	100	97.3361	88.3184
-52.7	52.7	100	97.3852	88.36
-52.8	52.8	100	97.4098	88.4016
-52.9	52.9	100	97.4589	88.4432
-53.0	53.0	100	97.4712	88.4848
-53.1	53.1	100	97.5325	88.5264
-53.2	53.2	100	97.5571	88.568
-53.3	53.3	100	97.6062	88.6095
-53.4	53.4	100	97.6307	88.6511
-53.5	53.5	100	97.643	88.6927
-53.6	53.6	100	97.643	88.7343
-53.7	53.7	100	97.6553	88.7759
-53.8	53.8	100	97.6676	88.8175
-53.9	53.9	100	97.6797	88.859
-54.0	54.0	100	97.6921	88.9006
-54.1	54.1	100	97.7134	88.9422
-54.2	54.2	100	97.7289	88.9838
-54.3	54.3	100	97.7412	89.0254
-54.4	54.4	100	97.7412	89.067
-54.5	54.5	100	97.8101	89.1086
-54.6	54.6	100	97.8763	89.1501
-54.7	54.7	100	97.8885	89.1917
-54.8	54.8	100	97.8929	89.2333
-54.9	54.9	100	97.9376	89.2749
-55.0	55.0	100	97.9622	89.3165
-55.1	55.1	100	97.9745	89.3581
-55.2	55.2	100	98.0113	89.3996
-55.3	55.3	100	98.0358	89.4412
-55.4	55.4	100	98.0604	89.4828
-55.5	55.5	100	98.0727	89.5244
-55.6	55.6	100	98.0849	89.566
-55.7	55.7	100	98.0849	89.6076
-55.8	55.8	100	98.1095	89.6491
-55.9	55.9	100	98.1095	89.6907
-56.0	56.0	100	98.1272	89.7323
-56.1	56.1	100	98.1463	89.7739
-56.2	56.2	100	98.1586	89.8155
-56.3	56.3	100	98.1954	89.8571
-56.4	56.4	100	98.2077	89.8987
-56.5	56.5	100	98.22	89.9402
-56.6	56.6	100	98.2323	89.9818
-56.7	56.7	100	98.2814	90.0234
-56.8	56.8	100	98.3059	90.065
-56.9	56.9	100	98.3305	90.1066
-57.0	57.0	100	98.3673	90.1482
-57.1	57.1	100	98.3673	90.1897
-57.2	57.2	100	98.379	90.2313
-57.3	57.3	100	98.3796	90.2729
-57.4	57.4	100	98.4164	90.3145
-57.5	57.5	100	98.4655	90.3561
-57.6	57.6	100	98.5146	90.3977
-57.7	57.7	100	98.5392	90.4392
-57.8	57.8	100	98.5514	90.4808
-57.9	57.9	100	98.5637	90.5224
-58.0	58.0	100	98.576	90.564
-58.1	58.1	100	98.6005	90.6056
-58.2	58.2	100	98.635	90.6472
-58.3	58.3	100	98.6496	90.6888
-58.4	58.4	100	98.6619	90.7303
-58.5	58.5	100	98.6922	90.7719
-58.6	58.6	100	98.7233	90.8135
-58.7	58.7	100	98.7356	90.8551
-58.8	58.8	100	98.7514	90.8967
-58.9	58.9	100	98.7601	90.9383
-59.0	59.0	100	98.797	90.9798
-59.1	59.1	100	98.8461	91.0214
-59.2	59.2	100	98.8461	91.063
-59.3	59.3	100	98.8804	91.1046
-59.4	59.4	100	98.8829	91.1462
-59.5	59.5	100	98.8829	91.1878
-59.6	59.6	100	98.8829	91.2293
-59.7	59.7	100	98.8998	91.2709
-59.8	59.8	100	98.9197	91.3125
-59.9	59.9	100	98.932	91.3541
-60.0	60.0	100	98.9443	91.3957
-60.1	60.1	100	98.9443	91.4373
-60.2	60.2	100	98.9443	91.4789
-60.3	60.3	100	98.9811	91.5204
-60.4	60.4	100	98.9934	91.562
-60.5	60.5	100	99.0056	91.6036
-60.6	60.6	100	99.0179	91.6452
-60.7	60.7	100	99.0179	91.6868
-60.8	60.8	100	99.0302	91.7284
-60.9	60.9	100	99.0425	91.7699
-61.0	61.0	100	99.0548	91.8115
-61.1	61.1	100	99.0548	91.8531
-61.2	61.2	100	99.0548	91.8947
-61.3	61.3	100	99.067	91.9363
-61.4	61.4	100	99.067	91.9779
-61.5	61.5	100	99.0793	92.0194
-61.6	61.6	100	99.0916	92.061
-61.7	61.7	100	99.1284	92.1026
-61.8	61.8	100	99.1407	92.1442
-61.9	61.9	100	99.1407	92.1858
-62.0	62.0	100	99.1652	92.2274
-62.1	62.1	100	99.1652	92.269
-62.2	62.2	100	99.1652	92.3105
-62.3	62.3	100	99.1652	92.3521
-62.4	62.4	100	99.1652	92.3937
-62.5	62.5	100	99.1652	92.4353
-62.6	62.6	100	99.1652	92.4769
-62.7	62.7	100	99.1898	92.5185
-62.8	62.8	100	99.1898	92.56
-62.9	62.9	100	99.1898	92.6016
-63.0	63.0	100	99.1898	92.6432
-63.1	63.1	100	99.2207	92.6848
-63.2	63.2	100	99.2389	92.7264
-63.3	63.3	100	99.2512	92.768
-63.4	63.4	100	99.2736	92.8095
-63.5	63.5	100	99.288	92.8511
-63.6	63.6	100	99.2989	92.8927
-63.7	63.7	100	99.3003	92.9343
-63.8	63.8	100	99.3003	92.9759
-63.9	63.9	100	99.3003	93.0175
-64.0	64.0	100	99.3003	93.0591
-64.1	64.1	100	99.3003	93.1006
-64.2	64.2	100	99.3003	93.1422
-64.3	64.3	100	99.3003	93.1838
-64.4	64.4	100	99.3371	93.2254
-64.5	64.5	100	99.3494	93.267
-64.6	64.6	100	99.3494	93.3086
-64.7	64.7	100	99.3494	93.3501
-64.8	64.8	100	99.3616	93.3917
-64.9	64.9	100	99.3616	93.4333
-65.0	65.0	100	99.3862	93.4749
-65.1	65.1	100	99.3862	93.5165
-65.2	65.2	100	99.3985	93.5581
-65.3	65.3	100	99.3985	93.5997
-65.4	65.4	100	99.3985	93.6412
-65.5	65.5	100	99.3985	93.6828
-65.6	65.6	100	99.3985	93.7244
-65.7	65.7	100	99.4108	93.766
-65.8	65.8	100	99.4108	93.8076
-65.9	65.9	100	99.4108	93.8492
-66.0	66.0	100	99.4108	93.8907
-66.1	66.1	100	99.4108	93.9323
-66.2	66.2	100	99.4108	93.9739
-66.3	66.3	100	99.4163	94.0155
-66.4	66.4	100	99.423	94.0571
-66.5	66.5	100	99.423	94.0987
-66.6	66.6	100	99.4353	94.1402
-66.7	66.7	100	99.4476	94.1818
-66.8	66.8	100	99.4476	94.2234
-66.9	66.9	100	99.4599	94.265
-67.0	67.0	100	99.4599	94.3066
-67.1	67.1	100	99.4721	94.3482
-67.2	67.2	100	99.4721	94.3898
-67.3	67.3	100	99.4844	94.4313
-67.4	67.4	100	99.4844	94.4729
-67.5	67.5	100	99.4967	94.5145
-67.6	67.6	100	99.4967	94.5561
-67.7	67.7	100	99.4967	94.5977
-67.8	67.8	100	99.4967	94.6393
-67.9	67.9	100	99.509	94.6808
-68.0	68.0	100	99.509	94.7224
-68.1	68.1	100	99.509	94.764
-68.2	68.2	100	99.5212	94.8056
-68.3	68.3	100	99.5212	94.8472
-68.4	68.4	100	99.5212	94.8888
-68.5	68.5	100	99.5335	94.9303
-68.6	68.6	100	99.5335	94.9719
-68.7	68.7	100	99.5335	95.0135
-68.8	68.8	100	99.5335	95.0551
-68.9	68.9	100	99.5335	95.0967
-69.0	69.0	100	99.5335	95.1383
-69.1	69.1	100	99.5458	95.1799
-69.2	69.2	100	99.5458	95.2214
-69.3	69.3	100	99.5458	95.263
-69.4	69.4	100	99.5458	95.3046
-69.5	69.5	100	99.5458	95.3462
-69.6	69.6	100	99.5458	95.3878
-69.7	69.7	100	99.5458	95.4294
-69.8	69.8	100	99.5581	95.4709
-69.9	69.9	100	99.5703	95.5125
-70.0	70.0	100	99.5826	95.5541
-70.1	70.1	100	99.5826	95.5957
-70.2	70.2	100	99.5826	95.6373
-70.3	70.3	100	99.5949	95.6789
-70.4	70.4	100	99.6072	95.7204
-70.5	70.5	100	99.6072	95.762
-70.6	70.6	100	99.6072	95.8036
-70.7	70.7	100	99.6072	95.8452
-70.8	70.8	100	99.6072	95.8868
-70.9	70.9	100	99.6194	95.9223
-71.0	71.0	100	99.6194	95.9483
-71.1	71.1	100	99.6194	95.9744
-71.2	71.2	100	99.6194	96.0004
-71.3	71.3	100	99.6194	96.0264
-71.4	71.4	100	99.6194	96.0525
-71.5	71.5	100	99.6194	96.0785
-71.6	71.6	100	99.6317	96.1046
-71.7	71.7	100	99.6317	96.1306
-71.8	71.8	100	99.6317	96.1566
-71.9	71.9	100	99.644	96.1827
-72.0	72.0	100	99.644	96.2087
-72.1	72.1	100	99.644	96.2348
-72.2	72.2	100	99.6685	96.2608
-72.3	72.3	100	99.6685	96.2868
-72.4	72.4	100	99.6685	96.3129
-72.5	72.5	100	99.6685	96.3389
-72.6	72.6	100	99.6685	96.365
-72.7	72.7	100	99.6808	96.391
-72.8	72.8	100	99.6931	96.417
-72.9	72.9	100	99.6931	96.4431
-73.0	73.0	100	99.6931	96.4691
-73.1	73.1	100	99.6931	96.4952
-73.2	73.2	100	99.6931	96.5212
-73.3	73.3	100	99.6931	96.5472
-73.4	73.4	100	99.7054	96.5733
-73.5	73.5	100	99.7177	96.5993
-73.6	73.6	100	99.7299	96.6254
-73.7	73.7	100	99.7299	96.6514
-73.8	73.8	100	99.7299	96.6774
-73.9	73.9	100	99.7299	96.7035
-74.0	74.0	100	99.7299	96.7295
-74.1	74.1	100	99.7299	96.7556
-74.2	74.2	100	99.7299	96.7816
-74.3	74.3	100	99.7337	96.8076
-74.4	74.4	100	99.7545	96.8337
-74.5	74.5	100	99.7545	96.8597
-74.6	74.6	100	99.7545	96.8858
-74.7	74.7	100	99.7668	96.9118
-74.8	74.8	100	99.7668	96.9378
-74.9	74.9	100	99.779	96.9639
-75.0	75.0	100	99.779	96.9899
-75.1	75.1	100	99.779	97.016
-75.2	75.2	100	99.779	97.042
-75.3	75.3	100	99.779	97.068
-75.4	75.4	100	99.779	97.0941
-75.5	75.5	100	99.7913	97.1201
-75.6	75.6	100	99.7913	97.1462
-75.7	75.7	100	99.7913	97.1722
-75.8	75.8	100	99.7913	97.1982
-75.9	75.9	100	99.7913	97.2243
-76.0	76.0	100	99.8036	97.2503
-76.1	76.1	100	99.8036	97.2764
-76.2	76.2	100	99.8036	97.3024
-76.3	76.3	100	99.8036	97.3284
-76.4	76.4	100	99.8159	97.3545
-76.5	76.5	100	99.8159	97.3805
-76.6	76.6	100	99.8159	97.4066
-76.7	76.7	100	99.8159	97.4326
-76.8	76.8	100	99.8159	97.4586
-76.9	76.9	100	99.8159	97.4847
-77.0	77.0	100	99.8281	97.5107
-77.1	77.1	100	99.8281	97.5368
-77.2	77.2	100	99.8281	97.5628
-77.3	77.3	100	99.8404	97.5888
-77.4	77.4	100	99.8404	97.6149
-77.5	77.5	100	99.8404	97.6409
-77.6	77.6	100	99.8404	97.667
-77.7	77.7	100	99.8527	97.693
-77.8	77.8	100	99.8527	97.719
-77.9	77.9	100	99.8527	97.7451
-78.0	78.0	100	99.865	97.7711
-78.1	78.1	100	99.865	97.7972
-78.2	78.2	100	99.865	97.8232
-78.3	78.3	100	99.865	97.8492
-78.4	78.4	100	99.865	97.8753
-78.5	78.5	100	99.865	97.9013
-78.6	78.6	100	99.865	97.9274
-78.7	78.7	100	99.865	97.9534
-78.8	78.8	100	99.865	97.9794
-78.9	78.9	100	99.865	98.0055
-79.0	79.0	100	99.865	98.0315
-79.1	79.1	100	99.865	98.0576
-79.2	79.2	100	99.865	98.0836
-79.3	79.3	100	99.8895	98.1096
-79.4	79.4	100	99.8895	98.1357
-79.5	79.5	100	99.8895	98.1617
-79.6	79.6	100	99.8895	98.1878
-79.7	79.7	100	99.8895	98.2138
-79.8	79.8	100	99.9018	98.2398
-79.9	79.9	100	99.9018	98.2659
-80.0	80.0	100	99.9018	98.2919
-80.1	80.1	100	99.9018	98.318
-80.2	80.2	100	99.9018	98.344
-80.3	80.3	100	99.9018	98.37
-80.4	80.4	100	99.9018	98.3961
-80.5	80.5	100	99.9018	98.4221
-80.6	80.6	100	99.9018	98.4482
-80.7	80.7	100	99.9018	98.4742
-80.8	80.8	100	99.9018	98.5002
-80.9	80.9	100	99.9018	98.5263
-81.0	81.0	100	99.9141	98.5523
-81.1	81.1	100	99.9141	98.5784
-81.2	81.2	100	99.9141	98.6044
-81.3	81.3	100	99.9141	98.6304
-81.4	81.4	100	99.9141	98.6565
-81.5	81.5	100	99.9141	98.6825
-81.6	81.6	100	99.9141	98.6925
-81.7	81.7	100	99.9141	98.6996
-81.8	81.8	100	99.9141	98.7067
-81.9	81.9	100	99.9141	98.7138
-82.0	82.0	100	99.9141	98.7209
-82.1	82.1	100	99.9141	98.728
-82.2	82.2	100	99.9141	98.7351
-82.3	82.3	100	99.9141	98.7422
-82.4	82.4	100	99.9141	98.7493
-82.5	82.5	100	99.9213	98.7565
-82.6	82.6	100	99.9263	98.7636
-82.7	82.7	100	99.9263	98.7707
-82.8	82.8	100	99.9263	98.7778
-82.9	82.9	100	99.9263	98.7849
-83.0	83.0	100	99.9263	98.792
-83.1	83.1	100	99.9263	98.7991
-83.2	83.2	100	99.9263	98.8062
-83.3	83.3	100	99.9263	98.8133
-83.4	83.4	100	99.9263	98.8204
-83.5	83.5	100	99.9386	98.8275
-83.6	83.6	100	99.9386	98.8346
-83.7	83.7	100	99.9386	98.8417
-83.8	83.8	100	99.9386	98.8488
-83.9	83.9	100	99.9386	98.8559
-84.0	84.0	100	99.9509	98.863
-84.1	84.1	100	99.9509	98.8701
-84.2	84.2	100	99.9509	98.8773
-84.3	84.3	100	99.9509	98.8844
-84.4	84.4	100	99.9509	98.8915
-84.5	84.5	100	99.9509	98.8986
-84.6	84.6	100	99.9509	98.9057
-84.7	84.7	100	99.9509	98.9128
-84.8	84.8	100	99.9509	98.9199
-84.9	84.9	100	99.9509	98.927
-85.0	85.0	100	99.9509	98.9341
-85.1	85.1	100	99.9509	98.9412
-85.2	85.2	100	99.9632	98.9483
-85.3	85.3	100	99.9632	98.9554
-85.4	85.4	100	99.9632	98.9625
-85.5	85.5	100	99.9632	98.9696
-85.6	85.6	100	99.9632	98.9767
-85.7	85.7	100	99.9632	98.9838
-85.8	85.8	100	99.9632	98.991
-85.9	85.9	100	99.9632	98.9981
-86.0	86.0	100	99.9632	99.0052
-86.1	86.1	100	99.9632	99.0123
-86.2	86.2	100	99.9632	99.0194
-86.3	86.3	100	99.9632	99.0265
-86.4	86.4	100	99.9632	99.0336
-86.5	86.5	100	99.9632	99.0407
-86.6	86.6	100	99.9632	99.0478
-86.7	86.7	100	99.9632	99.0549
-86.8	86.8	100	99.9632	99.062
-86.9	86.9	100	99.9632	99.0691
-87.0	87.0	100	99.9632	99.0762
-87.1	87.1	100	99.9632	99.0833
-87.2	87.2	100	99.9632	99.0904
-87.3	87.3	100	99.9632	99.0975
-87.4	87.4	100	99.9632	99.1046
-87.5	87.5	100	99.9632	99.1118
-87.6	87.6	100	99.9632	99.1189
-87.7	87.7	100	99.9632	99.126
-87.8	87.8	100	99.9632	99.1331
-87.9	87.9	100	99.9632	99.1402
-88.0	88.0	100	99.9632	99.1473
-88.1	88.1	100	99.9632	99.1544
-88.2	88.2	100	99.9632	99.1615
-88.3	88.3	100	99.9632	99.1686
-88.4	88.4	100	99.9632	99.1757
-88.5	88.5	100	99.9632	99.1828
-88.6	88.6	100	99.9632	99.1899
-88.7	88.7	100	99.9632	99.197
-88.8	88.8	100	99.9632	99.2041
-88.9	88.9	100	99.9632	99.2112
-89.0	89.0	100	99.9632	99.2183
-89.1	89.1	100	99.9754	99.2254
-89.2	89.2	100	99.9754	99.2326
-89.3	89.3	100	99.9754	99.2397
-89.4	89.4	100	99.9754	99.2468
-89.5	89.5	100	99.9754	99.2539
-89.6	89.6	100	99.9754	99.261
-89.7	89.7	100	99.9754	99.2681
-89.8	89.8	100	99.9754	99.2752
-89.9	89.9	100	99.9754	99.2823
-90.0	90.0	100	99.9754	99.2894
-90.1	90.1	100	99.9754	99.2965
-90.2	90.2	100	99.9754	99.3036
-90.3	90.3	100	99.9754	99.3107
-90.4	90.4	100	99.9754	99.3178
-90.5	90.5	100	99.9754	99.3249
-90.6	90.6	100	99.9877	99.332
-90.7	90.7	100	99.9877	99.3391
-90.8	90.8	100	99.9877	99.3462
-90.9	90.9	100	99.9877	99.3534
-91.0	91.0	100	99.9877	99.3605
-91.1	91.1	100	99.9877	99.3676
-91.2	91.2	100	99.9877	99.3747
-91.3	91.3	100	99.9877	99.3818
-91.4	91.4	100	99.9877	99.3889
-91.5	91.5	100	99.9877	99.396
-91.6	91.6	100	99.9877	99.4031
-91.7	91.7	100	99.9877	99.4102
-91.8	91.8	100	99.9877	99.4173
-91.9	91.9	100	99.9877	99.4244
-92.0	92.0	100	99.9877	99.4315
-92.1	92.1	100	99.9877	99.4386
-92.2	92.2	100	99.9877	99.4457
-92.3	92.3	100	99.9877	99.4528
-92.4	92.4	100	99.9877	99.4599
-92.5	92.5	100	99.9877	99.4671
-92.6	92.6	100	99.9877	99.4742
-92.7	92.7	100	99.9877	99.4813
-92.8	92.8	100	99.9877	99.4884
-92.9	92.9	100	99.9877	99.4955
-93.0	93.0	100	99.9877	99.5026
-93.1	93.1	100	99.9877	99.5097
-93.2	93.2	100	99.9877	99.5168
-93.3	93.3	100	99.9877	99.5239
-93.4	93.4	100	99.9877	99.531
-93.5	93.5	100	99.9877	99.5381
-93.6	93.6	100	99.9877	99.5452
-93.7	93.7	100	99.9877	99.5523
-93.8	93.8	100	99.9877	99.5594
-93.9	93.9	100	99.9877	99.5665
-94.0	94.0	100	99.9877	99.5736
-94.1	94.1	100	99.9877	99.5807
-94.2	94.2	100	99.9877	99.5879
-94.3	94.3	100	99.9877	99.595
-94.4	94.4	100	99.9877	99.6021
-94.5	94.5	100	99.9877	99.6092
-94.6	94.6	100	99.9877	99.6163
-94.7	94.7	100	99.9877	99.6234
-94.8	94.8	100	99.9877	99.6305
-94.9	94.9	100	99.9877	99.6376
-95.0	95.0	100	99.9877	99.6447
-95.1	95.1	100	99.9877	99.6518
-95.2	95.2	100	99.9877	99.6589
-95.3	95.3	100	99.9877	99.666
-95.4	95.4	100	99.9877	99.6731
-95.5	95.5	100	99.9877	99.6802
-95.6	95.6	100	100	99.6873
-95.7	95.7	100	100	99.6944
-95.8	95.8	100	100	99.7015
-95.9	95.9	100	100	99.7087
-96.0	96.0	100	100	99.7158
-96.1	96.1	100	100	99.7229
-96.2	96.2	100	100	99.73
-96.3	96.3	100	100	99.7371
-96.4	96.4	100	100	99.7442
-96.5	96.5	100	100	99.7513
-96.6	96.6	100	100	99.7584
-96.7	96.7	100	100	99.7655
-96.8	96.8	100	100	99.7726
-96.9	96.9	100	100	99.7797
-97.0	97.0	100	100	99.7868
-97.1	97.1	100	100	99.7939
-97.2	97.2	100	100	99.801
-97.3	97.3	100	100	99.8081
-97.4	97.4	100	100	99.8152
-97.5	97.5	100	100	99.8224
-97.6	97.6	100	100	99.8295
-97.7	97.7	100	100	99.8366
-97.8	97.8	100	100	99.8437
-97.9	97.9	100	100	99.8508
-98.0	98.0	100	100	99.8579
-98.1	98.1	100	100	99.865
-98.2	98.2	100	100	99.8721
-98.3	98.3	100	100	99.8792
-98.4	98.4	100	100	99.8863
-98.5	98.5	100	100	99.8934
-98.6	98.6	100	100	99.9005
-98.7	98.7	100	100	99.9076
-98.8	98.8	100	100	99.9147
-98.9	98.9	100	100	99.9218
-99.0	99.0	100	100	99.9289
-99.1	99.1	100	100	99.936
-99.2	99.2	100	100	99.9432
-99.3	99.3	100	100	99.9503
-99.4	99.4	100	100	99.9574
-99.5	99.5	100	100	99.9645
-99.6	99.6	100	100	99.9716
-99.7	99.7	100	100	99.9787
-99.8	99.8	100	100	99.9858
-99.9	99.9	100	100	99.9929
-100.0	100.0	100	100	100
diff --git a/tests/resources/analysis_results/ref_reports/Ansi.txt b/tests/resources/analysis_results/ref_reports/Ansi.txt
deleted file mode 100644
index 205278cb..00000000
--- a/tests/resources/analysis_results/ref_reports/Ansi.txt
+++ /dev/null
@@ -1,2120 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Ansi
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	2
-	Mode	ANSI
-	Mode frequency	10
-Target variable stats
-	ANSI	10
-	ASCII	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	3.04452
-	Data cost	12.1268
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.569655		2	2						<a>	10	0.693147	6.13404	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<é>}	<é>	 * 
-Type	Categorical	Values
-	ANSI
-	ASCII
-Cells
-Value group	ANSI	ASCII	Interest
-{<a>}	0	10	0.5
-{<é>}	10	0	0.5
-
-Input values
-	<a>	10
-	<é>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Ansi
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.569655	1	0.754755
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Ansi
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.976385	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ANSI	ASCII
-$ANSI	10	0
-$ASCII	0	10
-
-Lift curves	ANSI
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/AnsiGreek.txt b/tests/resources/analysis_results/ref_reports/AnsiGreek.txt
deleted file mode 100644
index 9eedf2c8..00000000
--- a/tests/resources/analysis_results/ref_reports/AnsiGreek.txt
+++ /dev/null
@@ -1,3130 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiGreek
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	3
-	Mode	ANSI
-	Mode frequency	10
-Target variable stats
-	ANSI	10
-	ASCII	10
-	UTF8 Greek	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	6.20658
-	Data cost	29.345
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.522457		3	3						<a>	10	0.693147	16.6153	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<θ>}	<θ>
-	{<é>}	<é>	 * 
-Type	Categorical	Values
-	ANSI
-	ASCII
-	UTF8 Greek
-Cells
-Value group	ANSI	ASCII	UTF8 Greek	Interest
-{<a>}	0	10	0	0.333333
-{<θ>}	0	0	10	0.333333
-{<é>}	10	0	0	0.333333
-
-Input values
-	<a>	10
-	<θ>	10
-	<é>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiGreek
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.522457	1	0.722812
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiGreek
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.984513	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ANSI	ASCII	UTF8 Greek
-$ANSI	10	0	0
-$ASCII	0	10	0
-$UTF8 Greek	0	0	10
-
-Lift curves	ANSI
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Greek
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/AnsiLatin.txt b/tests/resources/analysis_results/ref_reports/AnsiLatin.txt
deleted file mode 100644
index e7d1678a..00000000
--- a/tests/resources/analysis_results/ref_reports/AnsiLatin.txt
+++ /dev/null
@@ -1,3130 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatin
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	3
-	Mode	ANSI
-	Mode frequency	10
-Target variable stats
-	ANSI	10
-	ASCII	10
-	UTF8 Latin	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	6.20658
-	Data cost	29.345
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.522457		3	3						<a>	10	0.693147	16.6153	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<é>}	<é>
-	{<é>}	<é>	 * 
-Type	Categorical	Values
-	ANSI
-	ASCII
-	UTF8 Latin
-Cells
-Value group	ANSI	ASCII	UTF8 Latin	Interest
-{<a>}	0	10	0	0.333333
-{<é>}	0	0	10	0.333333
-{<é>}	10	0	0	0.333333
-
-Input values
-	<a>	10
-	<é>	10
-	<é>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatin
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.522457	1	0.722812
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatin
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.984513	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ANSI	ASCII	UTF8 Latin
-$ANSI	10	0	0
-$ASCII	0	10	0
-$UTF8 Latin	0	0	10
-
-Lift curves	ANSI
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Latin
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/AnsiLatinGreek.txt b/tests/resources/analysis_results/ref_reports/AnsiLatinGreek.txt
deleted file mode 100644
index 8c775e55..00000000
--- a/tests/resources/analysis_results/ref_reports/AnsiLatinGreek.txt
+++ /dev/null
@@ -1,4140 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatinGreek
-Selection value	1
-Instances	40
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	4
-	Mode	ANSI
-	Mode frequency	10
-Target variable stats
-	ANSI	10
-	ASCII	10
-	UTF8 Greek	10
-	UTF8 Latin	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	9.42068
-	Data cost	49.903
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.508744		4	4						<a>	10	0.693147	28.7905	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<é>}	<é>
-	{<θ>}	<θ>
-	{<é>}	<é>	 * 
-Type	Categorical	Values
-	ANSI
-	ASCII
-	UTF8 Greek
-	UTF8 Latin
-Cells
-Value group	ANSI	ASCII	UTF8 Greek	UTF8 Latin	Interest
-{<a>}	0	10	0	0	0.25
-{<é>}	0	0	0	10	0.25
-{<θ>}	0	0	10	0	0.25
-{<é>}	10	0	0	0	0.25
-
-Input values
-	<a>	10
-	<é>	10
-	<θ>	10
-	<é>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatinGreek
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.508744	1	0.713263
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatinGreek
-Selection value	1
-Instances	40
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.988222	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ANSI	ASCII	UTF8 Greek	UTF8 Latin
-$ANSI	10	0	0	0
-$ASCII	0	10	0	0
-$UTF8 Greek	0	0	10	0
-$UTF8 Latin	0	0	0	10
-
-Lift curves	ANSI
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.4	0.4
-0.2	0.2	0.8	0.8
-0.3	0.3	1.2	1.2
-0.4	0.4	1.6	1.6
-0.5	0.5	2	2
-0.6	0.6	2.4	2.4
-0.7	0.7	2.8	2.8
-0.8	0.8	3.2	3.2
-0.9	0.9	3.6	3.6
-1.0	1.0	4	4
-1.1	1.1	4.4	4.4
-1.2	1.2	4.8	4.8
-1.3	1.3	5.2	5.2
-1.4	1.4	5.6	5.6
-1.5	1.5	6	6
-1.6	1.6	6.4	6.4
-1.7	1.7	6.8	6.8
-1.8	1.8	7.2	7.2
-1.9	1.9	7.6	7.6
-2.0	2.0	8	8
-2.1	2.1	8.4	8.4
-2.2	2.2	8.8	8.8
-2.3	2.3	9.2	9.2
-2.4	2.4	9.6	9.6
-2.5	2.5	10	10
-2.6	2.6	10.4	10.4
-2.7	2.7	10.8	10.8
-2.8	2.8	11.2	11.2
-2.9	2.9	11.6	11.6
-3.0	3.0	12	12
-3.1	3.1	12.4	12.4
-3.2	3.2	12.8	12.8
-3.3	3.3	13.2	13.2
-3.4	3.4	13.6	13.6
-3.5	3.5	14	14
-3.6	3.6	14.4	14.4
-3.7	3.7	14.8	14.8
-3.8	3.8	15.2	15.2
-3.9	3.9	15.6	15.6
-4.0	4.0	16	16
-4.1	4.1	16.4	16.4
-4.2	4.2	16.8	16.8
-4.3	4.3	17.2	17.2
-4.4	4.4	17.6	17.6
-4.5	4.5	18	18
-4.6	4.6	18.4	18.4
-4.7	4.7	18.8	18.8
-4.8	4.8	19.2	19.2
-4.9	4.9	19.6	19.6
-5.0	5.0	20	20
-5.1	5.1	20.4	20.4
-5.2	5.2	20.8	20.8
-5.3	5.3	21.2	21.2
-5.4	5.4	21.6	21.6
-5.5	5.5	22	22
-5.6	5.6	22.4	22.4
-5.7	5.7	22.8	22.8
-5.8	5.8	23.2	23.2
-5.9	5.9	23.6	23.6
-6.0	6.0	24	24
-6.1	6.1	24.4	24.4
-6.2	6.2	24.8	24.8
-6.3	6.3	25.2	25.2
-6.4	6.4	25.6	25.6
-6.5	6.5	26	26
-6.6	6.6	26.4	26.4
-6.7	6.7	26.8	26.8
-6.8	6.8	27.2	27.2
-6.9	6.9	27.6	27.6
-7.0	7.0	28	28
-7.1	7.1	28.4	28.4
-7.2	7.2	28.8	28.8
-7.3	7.3	29.2	29.2
-7.4	7.4	29.6	29.6
-7.5	7.5	30	30
-7.6	7.6	30.4	30.4
-7.7	7.7	30.8	30.8
-7.8	7.8	31.2	31.2
-7.9	7.9	31.6	31.6
-8.0	8.0	32	32
-8.1	8.1	32.4	32.4
-8.2	8.2	32.8	32.8
-8.3	8.3	33.2	33.2
-8.4	8.4	33.6	33.6
-8.5	8.5	34	34
-8.6	8.6	34.4	34.4
-8.7	8.7	34.8	34.8
-8.8	8.8	35.2	35.2
-8.9	8.9	35.6	35.6
-9.0	9.0	36	36
-9.1	9.1	36.4	36.4
-9.2	9.2	36.8	36.8
-9.3	9.3	37.2	37.2
-9.4	9.4	37.6	37.6
-9.5	9.5	38	38
-9.6	9.6	38.4	38.4
-9.7	9.7	38.8	38.8
-9.8	9.8	39.2	39.2
-9.9	9.9	39.6	39.6
-10.0	10.0	40	40
-10.1	10.1	40.4	40.4
-10.2	10.2	40.8	40.8
-10.3	10.3	41.2	41.2
-10.4	10.4	41.6	41.6
-10.5	10.5	42	42
-10.6	10.6	42.4	42.4
-10.7	10.7	42.8	42.8
-10.8	10.8	43.2	43.2
-10.9	10.9	43.6	43.6
-11.0	11.0	44	44
-11.1	11.1	44.4	44.4
-11.2	11.2	44.8	44.8
-11.3	11.3	45.2	45.2
-11.4	11.4	45.6	45.6
-11.5	11.5	46	46
-11.6	11.6	46.4	46.4
-11.7	11.7	46.8	46.8
-11.8	11.8	47.2	47.2
-11.9	11.9	47.6	47.6
-12.0	12.0	48	48
-12.1	12.1	48.4	48.4
-12.2	12.2	48.8	48.8
-12.3	12.3	49.2	49.2
-12.4	12.4	49.6	49.6
-12.5	12.5	50	50
-12.6	12.6	50.4	50.4
-12.7	12.7	50.8	50.8
-12.8	12.8	51.2	51.2
-12.9	12.9	51.6	51.6
-13.0	13.0	52	52
-13.1	13.1	52.4	52.4
-13.2	13.2	52.8	52.8
-13.3	13.3	53.2	53.2
-13.4	13.4	53.6	53.6
-13.5	13.5	54	54
-13.6	13.6	54.4	54.4
-13.7	13.7	54.8	54.8
-13.8	13.8	55.2	55.2
-13.9	13.9	55.6	55.6
-14.0	14.0	56	56
-14.1	14.1	56.4	56.4
-14.2	14.2	56.8	56.8
-14.3	14.3	57.2	57.2
-14.4	14.4	57.6	57.6
-14.5	14.5	58	58
-14.6	14.6	58.4	58.4
-14.7	14.7	58.8	58.8
-14.8	14.8	59.2	59.2
-14.9	14.9	59.6	59.6
-15.0	15.0	60	60
-15.1	15.1	60.4	60.4
-15.2	15.2	60.8	60.8
-15.3	15.3	61.2	61.2
-15.4	15.4	61.6	61.6
-15.5	15.5	62	62
-15.6	15.6	62.4	62.4
-15.7	15.7	62.8	62.8
-15.8	15.8	63.2	63.2
-15.9	15.9	63.6	63.6
-16.0	16.0	64	64
-16.1	16.1	64.4	64.4
-16.2	16.2	64.8	64.8
-16.3	16.3	65.2	65.2
-16.4	16.4	65.6	65.6
-16.5	16.5	66	66
-16.6	16.6	66.4	66.4
-16.7	16.7	66.8	66.8
-16.8	16.8	67.2	67.2
-16.9	16.9	67.6	67.6
-17.0	17.0	68	68
-17.1	17.1	68.4	68.4
-17.2	17.2	68.8	68.8
-17.3	17.3	69.2	69.2
-17.4	17.4	69.6	69.6
-17.5	17.5	70	70
-17.6	17.6	70.4	70.4
-17.7	17.7	70.8	70.8
-17.8	17.8	71.2	71.2
-17.9	17.9	71.6	71.6
-18.0	18.0	72	72
-18.1	18.1	72.4	72.4
-18.2	18.2	72.8	72.8
-18.3	18.3	73.2	73.2
-18.4	18.4	73.6	73.6
-18.5	18.5	74	74
-18.6	18.6	74.4	74.4
-18.7	18.7	74.8	74.8
-18.8	18.8	75.2	75.2
-18.9	18.9	75.6	75.6
-19.0	19.0	76	76
-19.1	19.1	76.4	76.4
-19.2	19.2	76.8	76.8
-19.3	19.3	77.2	77.2
-19.4	19.4	77.6	77.6
-19.5	19.5	78	78
-19.6	19.6	78.4	78.4
-19.7	19.7	78.8	78.8
-19.8	19.8	79.2	79.2
-19.9	19.9	79.6	79.6
-20.0	20.0	80	80
-20.1	20.1	80.4	80.4
-20.2	20.2	80.8	80.8
-20.3	20.3	81.2	81.2
-20.4	20.4	81.6	81.6
-20.5	20.5	82	82
-20.6	20.6	82.4	82.4
-20.7	20.7	82.8	82.8
-20.8	20.8	83.2	83.2
-20.9	20.9	83.6	83.6
-21.0	21.0	84	84
-21.1	21.1	84.4	84.4
-21.2	21.2	84.8	84.8
-21.3	21.3	85.2	85.2
-21.4	21.4	85.6	85.6
-21.5	21.5	86	86
-21.6	21.6	86.4	86.4
-21.7	21.7	86.8	86.8
-21.8	21.8	87.2	87.2
-21.9	21.9	87.6	87.6
-22.0	22.0	88	88
-22.1	22.1	88.4	88.4
-22.2	22.2	88.8	88.8
-22.3	22.3	89.2	89.2
-22.4	22.4	89.6	89.6
-22.5	22.5	90	90
-22.6	22.6	90.4	90.4
-22.7	22.7	90.8	90.8
-22.8	22.8	91.2	91.2
-22.9	22.9	91.6	91.6
-23.0	23.0	92	92
-23.1	23.1	92.4	92.4
-23.2	23.2	92.8	92.8
-23.3	23.3	93.2	93.2
-23.4	23.4	93.6	93.6
-23.5	23.5	94	94
-23.6	23.6	94.4	94.4
-23.7	23.7	94.8	94.8
-23.8	23.8	95.2	95.2
-23.9	23.9	95.6	95.6
-24.0	24.0	96	96
-24.1	24.1	96.4	96.4
-24.2	24.2	96.8	96.8
-24.3	24.3	97.2	97.2
-24.4	24.4	97.6	97.6
-24.5	24.5	98	98
-24.6	24.6	98.4	98.4
-24.7	24.7	98.8	98.8
-24.8	24.8	99.2	99.2
-24.9	24.9	99.6	99.6
-25.0	25.0	100	100
-25.1	25.1	100	100
-25.2	25.2	100	100
-25.3	25.3	100	100
-25.4	25.4	100	100
-25.5	25.5	100	100
-25.6	25.6	100	100
-25.7	25.7	100	100
-25.8	25.8	100	100
-25.9	25.9	100	100
-26.0	26.0	100	100
-26.1	26.1	100	100
-26.2	26.2	100	100
-26.3	26.3	100	100
-26.4	26.4	100	100
-26.5	26.5	100	100
-26.6	26.6	100	100
-26.7	26.7	100	100
-26.8	26.8	100	100
-26.9	26.9	100	100
-27.0	27.0	100	100
-27.1	27.1	100	100
-27.2	27.2	100	100
-27.3	27.3	100	100
-27.4	27.4	100	100
-27.5	27.5	100	100
-27.6	27.6	100	100
-27.7	27.7	100	100
-27.8	27.8	100	100
-27.9	27.9	100	100
-28.0	28.0	100	100
-28.1	28.1	100	100
-28.2	28.2	100	100
-28.3	28.3	100	100
-28.4	28.4	100	100
-28.5	28.5	100	100
-28.6	28.6	100	100
-28.7	28.7	100	100
-28.8	28.8	100	100
-28.9	28.9	100	100
-29.0	29.0	100	100
-29.1	29.1	100	100
-29.2	29.2	100	100
-29.3	29.3	100	100
-29.4	29.4	100	100
-29.5	29.5	100	100
-29.6	29.6	100	100
-29.7	29.7	100	100
-29.8	29.8	100	100
-29.9	29.9	100	100
-30.0	30.0	100	100
-30.1	30.1	100	100
-30.2	30.2	100	100
-30.3	30.3	100	100
-30.4	30.4	100	100
-30.5	30.5	100	100
-30.6	30.6	100	100
-30.7	30.7	100	100
-30.8	30.8	100	100
-30.9	30.9	100	100
-31.0	31.0	100	100
-31.1	31.1	100	100
-31.2	31.2	100	100
-31.3	31.3	100	100
-31.4	31.4	100	100
-31.5	31.5	100	100
-31.6	31.6	100	100
-31.7	31.7	100	100
-31.8	31.8	100	100
-31.9	31.9	100	100
-32.0	32.0	100	100
-32.1	32.1	100	100
-32.2	32.2	100	100
-32.3	32.3	100	100
-32.4	32.4	100	100
-32.5	32.5	100	100
-32.6	32.6	100	100
-32.7	32.7	100	100
-32.8	32.8	100	100
-32.9	32.9	100	100
-33.0	33.0	100	100
-33.1	33.1	100	100
-33.2	33.2	100	100
-33.3	33.3	100	100
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.4	0.4
-0.2	0.2	0.8	0.8
-0.3	0.3	1.2	1.2
-0.4	0.4	1.6	1.6
-0.5	0.5	2	2
-0.6	0.6	2.4	2.4
-0.7	0.7	2.8	2.8
-0.8	0.8	3.2	3.2
-0.9	0.9	3.6	3.6
-1.0	1.0	4	4
-1.1	1.1	4.4	4.4
-1.2	1.2	4.8	4.8
-1.3	1.3	5.2	5.2
-1.4	1.4	5.6	5.6
-1.5	1.5	6	6
-1.6	1.6	6.4	6.4
-1.7	1.7	6.8	6.8
-1.8	1.8	7.2	7.2
-1.9	1.9	7.6	7.6
-2.0	2.0	8	8
-2.1	2.1	8.4	8.4
-2.2	2.2	8.8	8.8
-2.3	2.3	9.2	9.2
-2.4	2.4	9.6	9.6
-2.5	2.5	10	10
-2.6	2.6	10.4	10.4
-2.7	2.7	10.8	10.8
-2.8	2.8	11.2	11.2
-2.9	2.9	11.6	11.6
-3.0	3.0	12	12
-3.1	3.1	12.4	12.4
-3.2	3.2	12.8	12.8
-3.3	3.3	13.2	13.2
-3.4	3.4	13.6	13.6
-3.5	3.5	14	14
-3.6	3.6	14.4	14.4
-3.7	3.7	14.8	14.8
-3.8	3.8	15.2	15.2
-3.9	3.9	15.6	15.6
-4.0	4.0	16	16
-4.1	4.1	16.4	16.4
-4.2	4.2	16.8	16.8
-4.3	4.3	17.2	17.2
-4.4	4.4	17.6	17.6
-4.5	4.5	18	18
-4.6	4.6	18.4	18.4
-4.7	4.7	18.8	18.8
-4.8	4.8	19.2	19.2
-4.9	4.9	19.6	19.6
-5.0	5.0	20	20
-5.1	5.1	20.4	20.4
-5.2	5.2	20.8	20.8
-5.3	5.3	21.2	21.2
-5.4	5.4	21.6	21.6
-5.5	5.5	22	22
-5.6	5.6	22.4	22.4
-5.7	5.7	22.8	22.8
-5.8	5.8	23.2	23.2
-5.9	5.9	23.6	23.6
-6.0	6.0	24	24
-6.1	6.1	24.4	24.4
-6.2	6.2	24.8	24.8
-6.3	6.3	25.2	25.2
-6.4	6.4	25.6	25.6
-6.5	6.5	26	26
-6.6	6.6	26.4	26.4
-6.7	6.7	26.8	26.8
-6.8	6.8	27.2	27.2
-6.9	6.9	27.6	27.6
-7.0	7.0	28	28
-7.1	7.1	28.4	28.4
-7.2	7.2	28.8	28.8
-7.3	7.3	29.2	29.2
-7.4	7.4	29.6	29.6
-7.5	7.5	30	30
-7.6	7.6	30.4	30.4
-7.7	7.7	30.8	30.8
-7.8	7.8	31.2	31.2
-7.9	7.9	31.6	31.6
-8.0	8.0	32	32
-8.1	8.1	32.4	32.4
-8.2	8.2	32.8	32.8
-8.3	8.3	33.2	33.2
-8.4	8.4	33.6	33.6
-8.5	8.5	34	34
-8.6	8.6	34.4	34.4
-8.7	8.7	34.8	34.8
-8.8	8.8	35.2	35.2
-8.9	8.9	35.6	35.6
-9.0	9.0	36	36
-9.1	9.1	36.4	36.4
-9.2	9.2	36.8	36.8
-9.3	9.3	37.2	37.2
-9.4	9.4	37.6	37.6
-9.5	9.5	38	38
-9.6	9.6	38.4	38.4
-9.7	9.7	38.8	38.8
-9.8	9.8	39.2	39.2
-9.9	9.9	39.6	39.6
-10.0	10.0	40	40
-10.1	10.1	40.4	40.4
-10.2	10.2	40.8	40.8
-10.3	10.3	41.2	41.2
-10.4	10.4	41.6	41.6
-10.5	10.5	42	42
-10.6	10.6	42.4	42.4
-10.7	10.7	42.8	42.8
-10.8	10.8	43.2	43.2
-10.9	10.9	43.6	43.6
-11.0	11.0	44	44
-11.1	11.1	44.4	44.4
-11.2	11.2	44.8	44.8
-11.3	11.3	45.2	45.2
-11.4	11.4	45.6	45.6
-11.5	11.5	46	46
-11.6	11.6	46.4	46.4
-11.7	11.7	46.8	46.8
-11.8	11.8	47.2	47.2
-11.9	11.9	47.6	47.6
-12.0	12.0	48	48
-12.1	12.1	48.4	48.4
-12.2	12.2	48.8	48.8
-12.3	12.3	49.2	49.2
-12.4	12.4	49.6	49.6
-12.5	12.5	50	50
-12.6	12.6	50.4	50.4
-12.7	12.7	50.8	50.8
-12.8	12.8	51.2	51.2
-12.9	12.9	51.6	51.6
-13.0	13.0	52	52
-13.1	13.1	52.4	52.4
-13.2	13.2	52.8	52.8
-13.3	13.3	53.2	53.2
-13.4	13.4	53.6	53.6
-13.5	13.5	54	54
-13.6	13.6	54.4	54.4
-13.7	13.7	54.8	54.8
-13.8	13.8	55.2	55.2
-13.9	13.9	55.6	55.6
-14.0	14.0	56	56
-14.1	14.1	56.4	56.4
-14.2	14.2	56.8	56.8
-14.3	14.3	57.2	57.2
-14.4	14.4	57.6	57.6
-14.5	14.5	58	58
-14.6	14.6	58.4	58.4
-14.7	14.7	58.8	58.8
-14.8	14.8	59.2	59.2
-14.9	14.9	59.6	59.6
-15.0	15.0	60	60
-15.1	15.1	60.4	60.4
-15.2	15.2	60.8	60.8
-15.3	15.3	61.2	61.2
-15.4	15.4	61.6	61.6
-15.5	15.5	62	62
-15.6	15.6	62.4	62.4
-15.7	15.7	62.8	62.8
-15.8	15.8	63.2	63.2
-15.9	15.9	63.6	63.6
-16.0	16.0	64	64
-16.1	16.1	64.4	64.4
-16.2	16.2	64.8	64.8
-16.3	16.3	65.2	65.2
-16.4	16.4	65.6	65.6
-16.5	16.5	66	66
-16.6	16.6	66.4	66.4
-16.7	16.7	66.8	66.8
-16.8	16.8	67.2	67.2
-16.9	16.9	67.6	67.6
-17.0	17.0	68	68
-17.1	17.1	68.4	68.4
-17.2	17.2	68.8	68.8
-17.3	17.3	69.2	69.2
-17.4	17.4	69.6	69.6
-17.5	17.5	70	70
-17.6	17.6	70.4	70.4
-17.7	17.7	70.8	70.8
-17.8	17.8	71.2	71.2
-17.9	17.9	71.6	71.6
-18.0	18.0	72	72
-18.1	18.1	72.4	72.4
-18.2	18.2	72.8	72.8
-18.3	18.3	73.2	73.2
-18.4	18.4	73.6	73.6
-18.5	18.5	74	74
-18.6	18.6	74.4	74.4
-18.7	18.7	74.8	74.8
-18.8	18.8	75.2	75.2
-18.9	18.9	75.6	75.6
-19.0	19.0	76	76
-19.1	19.1	76.4	76.4
-19.2	19.2	76.8	76.8
-19.3	19.3	77.2	77.2
-19.4	19.4	77.6	77.6
-19.5	19.5	78	78
-19.6	19.6	78.4	78.4
-19.7	19.7	78.8	78.8
-19.8	19.8	79.2	79.2
-19.9	19.9	79.6	79.6
-20.0	20.0	80	80
-20.1	20.1	80.4	80.4
-20.2	20.2	80.8	80.8
-20.3	20.3	81.2	81.2
-20.4	20.4	81.6	81.6
-20.5	20.5	82	82
-20.6	20.6	82.4	82.4
-20.7	20.7	82.8	82.8
-20.8	20.8	83.2	83.2
-20.9	20.9	83.6	83.6
-21.0	21.0	84	84
-21.1	21.1	84.4	84.4
-21.2	21.2	84.8	84.8
-21.3	21.3	85.2	85.2
-21.4	21.4	85.6	85.6
-21.5	21.5	86	86
-21.6	21.6	86.4	86.4
-21.7	21.7	86.8	86.8
-21.8	21.8	87.2	87.2
-21.9	21.9	87.6	87.6
-22.0	22.0	88	88
-22.1	22.1	88.4	88.4
-22.2	22.2	88.8	88.8
-22.3	22.3	89.2	89.2
-22.4	22.4	89.6	89.6
-22.5	22.5	90	90
-22.6	22.6	90.4	90.4
-22.7	22.7	90.8	90.8
-22.8	22.8	91.2	91.2
-22.9	22.9	91.6	91.6
-23.0	23.0	92	92
-23.1	23.1	92.4	92.4
-23.2	23.2	92.8	92.8
-23.3	23.3	93.2	93.2
-23.4	23.4	93.6	93.6
-23.5	23.5	94	94
-23.6	23.6	94.4	94.4
-23.7	23.7	94.8	94.8
-23.8	23.8	95.2	95.2
-23.9	23.9	95.6	95.6
-24.0	24.0	96	96
-24.1	24.1	96.4	96.4
-24.2	24.2	96.8	96.8
-24.3	24.3	97.2	97.2
-24.4	24.4	97.6	97.6
-24.5	24.5	98	98
-24.6	24.6	98.4	98.4
-24.7	24.7	98.8	98.8
-24.8	24.8	99.2	99.2
-24.9	24.9	99.6	99.6
-25.0	25.0	100	100
-25.1	25.1	100	100
-25.2	25.2	100	100
-25.3	25.3	100	100
-25.4	25.4	100	100
-25.5	25.5	100	100
-25.6	25.6	100	100
-25.7	25.7	100	100
-25.8	25.8	100	100
-25.9	25.9	100	100
-26.0	26.0	100	100
-26.1	26.1	100	100
-26.2	26.2	100	100
-26.3	26.3	100	100
-26.4	26.4	100	100
-26.5	26.5	100	100
-26.6	26.6	100	100
-26.7	26.7	100	100
-26.8	26.8	100	100
-26.9	26.9	100	100
-27.0	27.0	100	100
-27.1	27.1	100	100
-27.2	27.2	100	100
-27.3	27.3	100	100
-27.4	27.4	100	100
-27.5	27.5	100	100
-27.6	27.6	100	100
-27.7	27.7	100	100
-27.8	27.8	100	100
-27.9	27.9	100	100
-28.0	28.0	100	100
-28.1	28.1	100	100
-28.2	28.2	100	100
-28.3	28.3	100	100
-28.4	28.4	100	100
-28.5	28.5	100	100
-28.6	28.6	100	100
-28.7	28.7	100	100
-28.8	28.8	100	100
-28.9	28.9	100	100
-29.0	29.0	100	100
-29.1	29.1	100	100
-29.2	29.2	100	100
-29.3	29.3	100	100
-29.4	29.4	100	100
-29.5	29.5	100	100
-29.6	29.6	100	100
-29.7	29.7	100	100
-29.8	29.8	100	100
-29.9	29.9	100	100
-30.0	30.0	100	100
-30.1	30.1	100	100
-30.2	30.2	100	100
-30.3	30.3	100	100
-30.4	30.4	100	100
-30.5	30.5	100	100
-30.6	30.6	100	100
-30.7	30.7	100	100
-30.8	30.8	100	100
-30.9	30.9	100	100
-31.0	31.0	100	100
-31.1	31.1	100	100
-31.2	31.2	100	100
-31.3	31.3	100	100
-31.4	31.4	100	100
-31.5	31.5	100	100
-31.6	31.6	100	100
-31.7	31.7	100	100
-31.8	31.8	100	100
-31.9	31.9	100	100
-32.0	32.0	100	100
-32.1	32.1	100	100
-32.2	32.2	100	100
-32.3	32.3	100	100
-32.4	32.4	100	100
-32.5	32.5	100	100
-32.6	32.6	100	100
-32.7	32.7	100	100
-32.8	32.8	100	100
-32.9	32.9	100	100
-33.0	33.0	100	100
-33.1	33.1	100	100
-33.2	33.2	100	100
-33.3	33.3	100	100
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Greek
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.4	0.4
-0.2	0.2	0.8	0.8
-0.3	0.3	1.2	1.2
-0.4	0.4	1.6	1.6
-0.5	0.5	2	2
-0.6	0.6	2.4	2.4
-0.7	0.7	2.8	2.8
-0.8	0.8	3.2	3.2
-0.9	0.9	3.6	3.6
-1.0	1.0	4	4
-1.1	1.1	4.4	4.4
-1.2	1.2	4.8	4.8
-1.3	1.3	5.2	5.2
-1.4	1.4	5.6	5.6
-1.5	1.5	6	6
-1.6	1.6	6.4	6.4
-1.7	1.7	6.8	6.8
-1.8	1.8	7.2	7.2
-1.9	1.9	7.6	7.6
-2.0	2.0	8	8
-2.1	2.1	8.4	8.4
-2.2	2.2	8.8	8.8
-2.3	2.3	9.2	9.2
-2.4	2.4	9.6	9.6
-2.5	2.5	10	10
-2.6	2.6	10.4	10.4
-2.7	2.7	10.8	10.8
-2.8	2.8	11.2	11.2
-2.9	2.9	11.6	11.6
-3.0	3.0	12	12
-3.1	3.1	12.4	12.4
-3.2	3.2	12.8	12.8
-3.3	3.3	13.2	13.2
-3.4	3.4	13.6	13.6
-3.5	3.5	14	14
-3.6	3.6	14.4	14.4
-3.7	3.7	14.8	14.8
-3.8	3.8	15.2	15.2
-3.9	3.9	15.6	15.6
-4.0	4.0	16	16
-4.1	4.1	16.4	16.4
-4.2	4.2	16.8	16.8
-4.3	4.3	17.2	17.2
-4.4	4.4	17.6	17.6
-4.5	4.5	18	18
-4.6	4.6	18.4	18.4
-4.7	4.7	18.8	18.8
-4.8	4.8	19.2	19.2
-4.9	4.9	19.6	19.6
-5.0	5.0	20	20
-5.1	5.1	20.4	20.4
-5.2	5.2	20.8	20.8
-5.3	5.3	21.2	21.2
-5.4	5.4	21.6	21.6
-5.5	5.5	22	22
-5.6	5.6	22.4	22.4
-5.7	5.7	22.8	22.8
-5.8	5.8	23.2	23.2
-5.9	5.9	23.6	23.6
-6.0	6.0	24	24
-6.1	6.1	24.4	24.4
-6.2	6.2	24.8	24.8
-6.3	6.3	25.2	25.2
-6.4	6.4	25.6	25.6
-6.5	6.5	26	26
-6.6	6.6	26.4	26.4
-6.7	6.7	26.8	26.8
-6.8	6.8	27.2	27.2
-6.9	6.9	27.6	27.6
-7.0	7.0	28	28
-7.1	7.1	28.4	28.4
-7.2	7.2	28.8	28.8
-7.3	7.3	29.2	29.2
-7.4	7.4	29.6	29.6
-7.5	7.5	30	30
-7.6	7.6	30.4	30.4
-7.7	7.7	30.8	30.8
-7.8	7.8	31.2	31.2
-7.9	7.9	31.6	31.6
-8.0	8.0	32	32
-8.1	8.1	32.4	32.4
-8.2	8.2	32.8	32.8
-8.3	8.3	33.2	33.2
-8.4	8.4	33.6	33.6
-8.5	8.5	34	34
-8.6	8.6	34.4	34.4
-8.7	8.7	34.8	34.8
-8.8	8.8	35.2	35.2
-8.9	8.9	35.6	35.6
-9.0	9.0	36	36
-9.1	9.1	36.4	36.4
-9.2	9.2	36.8	36.8
-9.3	9.3	37.2	37.2
-9.4	9.4	37.6	37.6
-9.5	9.5	38	38
-9.6	9.6	38.4	38.4
-9.7	9.7	38.8	38.8
-9.8	9.8	39.2	39.2
-9.9	9.9	39.6	39.6
-10.0	10.0	40	40
-10.1	10.1	40.4	40.4
-10.2	10.2	40.8	40.8
-10.3	10.3	41.2	41.2
-10.4	10.4	41.6	41.6
-10.5	10.5	42	42
-10.6	10.6	42.4	42.4
-10.7	10.7	42.8	42.8
-10.8	10.8	43.2	43.2
-10.9	10.9	43.6	43.6
-11.0	11.0	44	44
-11.1	11.1	44.4	44.4
-11.2	11.2	44.8	44.8
-11.3	11.3	45.2	45.2
-11.4	11.4	45.6	45.6
-11.5	11.5	46	46
-11.6	11.6	46.4	46.4
-11.7	11.7	46.8	46.8
-11.8	11.8	47.2	47.2
-11.9	11.9	47.6	47.6
-12.0	12.0	48	48
-12.1	12.1	48.4	48.4
-12.2	12.2	48.8	48.8
-12.3	12.3	49.2	49.2
-12.4	12.4	49.6	49.6
-12.5	12.5	50	50
-12.6	12.6	50.4	50.4
-12.7	12.7	50.8	50.8
-12.8	12.8	51.2	51.2
-12.9	12.9	51.6	51.6
-13.0	13.0	52	52
-13.1	13.1	52.4	52.4
-13.2	13.2	52.8	52.8
-13.3	13.3	53.2	53.2
-13.4	13.4	53.6	53.6
-13.5	13.5	54	54
-13.6	13.6	54.4	54.4
-13.7	13.7	54.8	54.8
-13.8	13.8	55.2	55.2
-13.9	13.9	55.6	55.6
-14.0	14.0	56	56
-14.1	14.1	56.4	56.4
-14.2	14.2	56.8	56.8
-14.3	14.3	57.2	57.2
-14.4	14.4	57.6	57.6
-14.5	14.5	58	58
-14.6	14.6	58.4	58.4
-14.7	14.7	58.8	58.8
-14.8	14.8	59.2	59.2
-14.9	14.9	59.6	59.6
-15.0	15.0	60	60
-15.1	15.1	60.4	60.4
-15.2	15.2	60.8	60.8
-15.3	15.3	61.2	61.2
-15.4	15.4	61.6	61.6
-15.5	15.5	62	62
-15.6	15.6	62.4	62.4
-15.7	15.7	62.8	62.8
-15.8	15.8	63.2	63.2
-15.9	15.9	63.6	63.6
-16.0	16.0	64	64
-16.1	16.1	64.4	64.4
-16.2	16.2	64.8	64.8
-16.3	16.3	65.2	65.2
-16.4	16.4	65.6	65.6
-16.5	16.5	66	66
-16.6	16.6	66.4	66.4
-16.7	16.7	66.8	66.8
-16.8	16.8	67.2	67.2
-16.9	16.9	67.6	67.6
-17.0	17.0	68	68
-17.1	17.1	68.4	68.4
-17.2	17.2	68.8	68.8
-17.3	17.3	69.2	69.2
-17.4	17.4	69.6	69.6
-17.5	17.5	70	70
-17.6	17.6	70.4	70.4
-17.7	17.7	70.8	70.8
-17.8	17.8	71.2	71.2
-17.9	17.9	71.6	71.6
-18.0	18.0	72	72
-18.1	18.1	72.4	72.4
-18.2	18.2	72.8	72.8
-18.3	18.3	73.2	73.2
-18.4	18.4	73.6	73.6
-18.5	18.5	74	74
-18.6	18.6	74.4	74.4
-18.7	18.7	74.8	74.8
-18.8	18.8	75.2	75.2
-18.9	18.9	75.6	75.6
-19.0	19.0	76	76
-19.1	19.1	76.4	76.4
-19.2	19.2	76.8	76.8
-19.3	19.3	77.2	77.2
-19.4	19.4	77.6	77.6
-19.5	19.5	78	78
-19.6	19.6	78.4	78.4
-19.7	19.7	78.8	78.8
-19.8	19.8	79.2	79.2
-19.9	19.9	79.6	79.6
-20.0	20.0	80	80
-20.1	20.1	80.4	80.4
-20.2	20.2	80.8	80.8
-20.3	20.3	81.2	81.2
-20.4	20.4	81.6	81.6
-20.5	20.5	82	82
-20.6	20.6	82.4	82.4
-20.7	20.7	82.8	82.8
-20.8	20.8	83.2	83.2
-20.9	20.9	83.6	83.6
-21.0	21.0	84	84
-21.1	21.1	84.4	84.4
-21.2	21.2	84.8	84.8
-21.3	21.3	85.2	85.2
-21.4	21.4	85.6	85.6
-21.5	21.5	86	86
-21.6	21.6	86.4	86.4
-21.7	21.7	86.8	86.8
-21.8	21.8	87.2	87.2
-21.9	21.9	87.6	87.6
-22.0	22.0	88	88
-22.1	22.1	88.4	88.4
-22.2	22.2	88.8	88.8
-22.3	22.3	89.2	89.2
-22.4	22.4	89.6	89.6
-22.5	22.5	90	90
-22.6	22.6	90.4	90.4
-22.7	22.7	90.8	90.8
-22.8	22.8	91.2	91.2
-22.9	22.9	91.6	91.6
-23.0	23.0	92	92
-23.1	23.1	92.4	92.4
-23.2	23.2	92.8	92.8
-23.3	23.3	93.2	93.2
-23.4	23.4	93.6	93.6
-23.5	23.5	94	94
-23.6	23.6	94.4	94.4
-23.7	23.7	94.8	94.8
-23.8	23.8	95.2	95.2
-23.9	23.9	95.6	95.6
-24.0	24.0	96	96
-24.1	24.1	96.4	96.4
-24.2	24.2	96.8	96.8
-24.3	24.3	97.2	97.2
-24.4	24.4	97.6	97.6
-24.5	24.5	98	98
-24.6	24.6	98.4	98.4
-24.7	24.7	98.8	98.8
-24.8	24.8	99.2	99.2
-24.9	24.9	99.6	99.6
-25.0	25.0	100	100
-25.1	25.1	100	100
-25.2	25.2	100	100
-25.3	25.3	100	100
-25.4	25.4	100	100
-25.5	25.5	100	100
-25.6	25.6	100	100
-25.7	25.7	100	100
-25.8	25.8	100	100
-25.9	25.9	100	100
-26.0	26.0	100	100
-26.1	26.1	100	100
-26.2	26.2	100	100
-26.3	26.3	100	100
-26.4	26.4	100	100
-26.5	26.5	100	100
-26.6	26.6	100	100
-26.7	26.7	100	100
-26.8	26.8	100	100
-26.9	26.9	100	100
-27.0	27.0	100	100
-27.1	27.1	100	100
-27.2	27.2	100	100
-27.3	27.3	100	100
-27.4	27.4	100	100
-27.5	27.5	100	100
-27.6	27.6	100	100
-27.7	27.7	100	100
-27.8	27.8	100	100
-27.9	27.9	100	100
-28.0	28.0	100	100
-28.1	28.1	100	100
-28.2	28.2	100	100
-28.3	28.3	100	100
-28.4	28.4	100	100
-28.5	28.5	100	100
-28.6	28.6	100	100
-28.7	28.7	100	100
-28.8	28.8	100	100
-28.9	28.9	100	100
-29.0	29.0	100	100
-29.1	29.1	100	100
-29.2	29.2	100	100
-29.3	29.3	100	100
-29.4	29.4	100	100
-29.5	29.5	100	100
-29.6	29.6	100	100
-29.7	29.7	100	100
-29.8	29.8	100	100
-29.9	29.9	100	100
-30.0	30.0	100	100
-30.1	30.1	100	100
-30.2	30.2	100	100
-30.3	30.3	100	100
-30.4	30.4	100	100
-30.5	30.5	100	100
-30.6	30.6	100	100
-30.7	30.7	100	100
-30.8	30.8	100	100
-30.9	30.9	100	100
-31.0	31.0	100	100
-31.1	31.1	100	100
-31.2	31.2	100	100
-31.3	31.3	100	100
-31.4	31.4	100	100
-31.5	31.5	100	100
-31.6	31.6	100	100
-31.7	31.7	100	100
-31.8	31.8	100	100
-31.9	31.9	100	100
-32.0	32.0	100	100
-32.1	32.1	100	100
-32.2	32.2	100	100
-32.3	32.3	100	100
-32.4	32.4	100	100
-32.5	32.5	100	100
-32.6	32.6	100	100
-32.7	32.7	100	100
-32.8	32.8	100	100
-32.9	32.9	100	100
-33.0	33.0	100	100
-33.1	33.1	100	100
-33.2	33.2	100	100
-33.3	33.3	100	100
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Latin
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.4	0.4
-0.2	0.2	0.8	0.8
-0.3	0.3	1.2	1.2
-0.4	0.4	1.6	1.6
-0.5	0.5	2	2
-0.6	0.6	2.4	2.4
-0.7	0.7	2.8	2.8
-0.8	0.8	3.2	3.2
-0.9	0.9	3.6	3.6
-1.0	1.0	4	4
-1.1	1.1	4.4	4.4
-1.2	1.2	4.8	4.8
-1.3	1.3	5.2	5.2
-1.4	1.4	5.6	5.6
-1.5	1.5	6	6
-1.6	1.6	6.4	6.4
-1.7	1.7	6.8	6.8
-1.8	1.8	7.2	7.2
-1.9	1.9	7.6	7.6
-2.0	2.0	8	8
-2.1	2.1	8.4	8.4
-2.2	2.2	8.8	8.8
-2.3	2.3	9.2	9.2
-2.4	2.4	9.6	9.6
-2.5	2.5	10	10
-2.6	2.6	10.4	10.4
-2.7	2.7	10.8	10.8
-2.8	2.8	11.2	11.2
-2.9	2.9	11.6	11.6
-3.0	3.0	12	12
-3.1	3.1	12.4	12.4
-3.2	3.2	12.8	12.8
-3.3	3.3	13.2	13.2
-3.4	3.4	13.6	13.6
-3.5	3.5	14	14
-3.6	3.6	14.4	14.4
-3.7	3.7	14.8	14.8
-3.8	3.8	15.2	15.2
-3.9	3.9	15.6	15.6
-4.0	4.0	16	16
-4.1	4.1	16.4	16.4
-4.2	4.2	16.8	16.8
-4.3	4.3	17.2	17.2
-4.4	4.4	17.6	17.6
-4.5	4.5	18	18
-4.6	4.6	18.4	18.4
-4.7	4.7	18.8	18.8
-4.8	4.8	19.2	19.2
-4.9	4.9	19.6	19.6
-5.0	5.0	20	20
-5.1	5.1	20.4	20.4
-5.2	5.2	20.8	20.8
-5.3	5.3	21.2	21.2
-5.4	5.4	21.6	21.6
-5.5	5.5	22	22
-5.6	5.6	22.4	22.4
-5.7	5.7	22.8	22.8
-5.8	5.8	23.2	23.2
-5.9	5.9	23.6	23.6
-6.0	6.0	24	24
-6.1	6.1	24.4	24.4
-6.2	6.2	24.8	24.8
-6.3	6.3	25.2	25.2
-6.4	6.4	25.6	25.6
-6.5	6.5	26	26
-6.6	6.6	26.4	26.4
-6.7	6.7	26.8	26.8
-6.8	6.8	27.2	27.2
-6.9	6.9	27.6	27.6
-7.0	7.0	28	28
-7.1	7.1	28.4	28.4
-7.2	7.2	28.8	28.8
-7.3	7.3	29.2	29.2
-7.4	7.4	29.6	29.6
-7.5	7.5	30	30
-7.6	7.6	30.4	30.4
-7.7	7.7	30.8	30.8
-7.8	7.8	31.2	31.2
-7.9	7.9	31.6	31.6
-8.0	8.0	32	32
-8.1	8.1	32.4	32.4
-8.2	8.2	32.8	32.8
-8.3	8.3	33.2	33.2
-8.4	8.4	33.6	33.6
-8.5	8.5	34	34
-8.6	8.6	34.4	34.4
-8.7	8.7	34.8	34.8
-8.8	8.8	35.2	35.2
-8.9	8.9	35.6	35.6
-9.0	9.0	36	36
-9.1	9.1	36.4	36.4
-9.2	9.2	36.8	36.8
-9.3	9.3	37.2	37.2
-9.4	9.4	37.6	37.6
-9.5	9.5	38	38
-9.6	9.6	38.4	38.4
-9.7	9.7	38.8	38.8
-9.8	9.8	39.2	39.2
-9.9	9.9	39.6	39.6
-10.0	10.0	40	40
-10.1	10.1	40.4	40.4
-10.2	10.2	40.8	40.8
-10.3	10.3	41.2	41.2
-10.4	10.4	41.6	41.6
-10.5	10.5	42	42
-10.6	10.6	42.4	42.4
-10.7	10.7	42.8	42.8
-10.8	10.8	43.2	43.2
-10.9	10.9	43.6	43.6
-11.0	11.0	44	44
-11.1	11.1	44.4	44.4
-11.2	11.2	44.8	44.8
-11.3	11.3	45.2	45.2
-11.4	11.4	45.6	45.6
-11.5	11.5	46	46
-11.6	11.6	46.4	46.4
-11.7	11.7	46.8	46.8
-11.8	11.8	47.2	47.2
-11.9	11.9	47.6	47.6
-12.0	12.0	48	48
-12.1	12.1	48.4	48.4
-12.2	12.2	48.8	48.8
-12.3	12.3	49.2	49.2
-12.4	12.4	49.6	49.6
-12.5	12.5	50	50
-12.6	12.6	50.4	50.4
-12.7	12.7	50.8	50.8
-12.8	12.8	51.2	51.2
-12.9	12.9	51.6	51.6
-13.0	13.0	52	52
-13.1	13.1	52.4	52.4
-13.2	13.2	52.8	52.8
-13.3	13.3	53.2	53.2
-13.4	13.4	53.6	53.6
-13.5	13.5	54	54
-13.6	13.6	54.4	54.4
-13.7	13.7	54.8	54.8
-13.8	13.8	55.2	55.2
-13.9	13.9	55.6	55.6
-14.0	14.0	56	56
-14.1	14.1	56.4	56.4
-14.2	14.2	56.8	56.8
-14.3	14.3	57.2	57.2
-14.4	14.4	57.6	57.6
-14.5	14.5	58	58
-14.6	14.6	58.4	58.4
-14.7	14.7	58.8	58.8
-14.8	14.8	59.2	59.2
-14.9	14.9	59.6	59.6
-15.0	15.0	60	60
-15.1	15.1	60.4	60.4
-15.2	15.2	60.8	60.8
-15.3	15.3	61.2	61.2
-15.4	15.4	61.6	61.6
-15.5	15.5	62	62
-15.6	15.6	62.4	62.4
-15.7	15.7	62.8	62.8
-15.8	15.8	63.2	63.2
-15.9	15.9	63.6	63.6
-16.0	16.0	64	64
-16.1	16.1	64.4	64.4
-16.2	16.2	64.8	64.8
-16.3	16.3	65.2	65.2
-16.4	16.4	65.6	65.6
-16.5	16.5	66	66
-16.6	16.6	66.4	66.4
-16.7	16.7	66.8	66.8
-16.8	16.8	67.2	67.2
-16.9	16.9	67.6	67.6
-17.0	17.0	68	68
-17.1	17.1	68.4	68.4
-17.2	17.2	68.8	68.8
-17.3	17.3	69.2	69.2
-17.4	17.4	69.6	69.6
-17.5	17.5	70	70
-17.6	17.6	70.4	70.4
-17.7	17.7	70.8	70.8
-17.8	17.8	71.2	71.2
-17.9	17.9	71.6	71.6
-18.0	18.0	72	72
-18.1	18.1	72.4	72.4
-18.2	18.2	72.8	72.8
-18.3	18.3	73.2	73.2
-18.4	18.4	73.6	73.6
-18.5	18.5	74	74
-18.6	18.6	74.4	74.4
-18.7	18.7	74.8	74.8
-18.8	18.8	75.2	75.2
-18.9	18.9	75.6	75.6
-19.0	19.0	76	76
-19.1	19.1	76.4	76.4
-19.2	19.2	76.8	76.8
-19.3	19.3	77.2	77.2
-19.4	19.4	77.6	77.6
-19.5	19.5	78	78
-19.6	19.6	78.4	78.4
-19.7	19.7	78.8	78.8
-19.8	19.8	79.2	79.2
-19.9	19.9	79.6	79.6
-20.0	20.0	80	80
-20.1	20.1	80.4	80.4
-20.2	20.2	80.8	80.8
-20.3	20.3	81.2	81.2
-20.4	20.4	81.6	81.6
-20.5	20.5	82	82
-20.6	20.6	82.4	82.4
-20.7	20.7	82.8	82.8
-20.8	20.8	83.2	83.2
-20.9	20.9	83.6	83.6
-21.0	21.0	84	84
-21.1	21.1	84.4	84.4
-21.2	21.2	84.8	84.8
-21.3	21.3	85.2	85.2
-21.4	21.4	85.6	85.6
-21.5	21.5	86	86
-21.6	21.6	86.4	86.4
-21.7	21.7	86.8	86.8
-21.8	21.8	87.2	87.2
-21.9	21.9	87.6	87.6
-22.0	22.0	88	88
-22.1	22.1	88.4	88.4
-22.2	22.2	88.8	88.8
-22.3	22.3	89.2	89.2
-22.4	22.4	89.6	89.6
-22.5	22.5	90	90
-22.6	22.6	90.4	90.4
-22.7	22.7	90.8	90.8
-22.8	22.8	91.2	91.2
-22.9	22.9	91.6	91.6
-23.0	23.0	92	92
-23.1	23.1	92.4	92.4
-23.2	23.2	92.8	92.8
-23.3	23.3	93.2	93.2
-23.4	23.4	93.6	93.6
-23.5	23.5	94	94
-23.6	23.6	94.4	94.4
-23.7	23.7	94.8	94.8
-23.8	23.8	95.2	95.2
-23.9	23.9	95.6	95.6
-24.0	24.0	96	96
-24.1	24.1	96.4	96.4
-24.2	24.2	96.8	96.8
-24.3	24.3	97.2	97.2
-24.4	24.4	97.6	97.6
-24.5	24.5	98	98
-24.6	24.6	98.4	98.4
-24.7	24.7	98.8	98.8
-24.8	24.8	99.2	99.2
-24.9	24.9	99.6	99.6
-25.0	25.0	100	100
-25.1	25.1	100	100
-25.2	25.2	100	100
-25.3	25.3	100	100
-25.4	25.4	100	100
-25.5	25.5	100	100
-25.6	25.6	100	100
-25.7	25.7	100	100
-25.8	25.8	100	100
-25.9	25.9	100	100
-26.0	26.0	100	100
-26.1	26.1	100	100
-26.2	26.2	100	100
-26.3	26.3	100	100
-26.4	26.4	100	100
-26.5	26.5	100	100
-26.6	26.6	100	100
-26.7	26.7	100	100
-26.8	26.8	100	100
-26.9	26.9	100	100
-27.0	27.0	100	100
-27.1	27.1	100	100
-27.2	27.2	100	100
-27.3	27.3	100	100
-27.4	27.4	100	100
-27.5	27.5	100	100
-27.6	27.6	100	100
-27.7	27.7	100	100
-27.8	27.8	100	100
-27.9	27.9	100	100
-28.0	28.0	100	100
-28.1	28.1	100	100
-28.2	28.2	100	100
-28.3	28.3	100	100
-28.4	28.4	100	100
-28.5	28.5	100	100
-28.6	28.6	100	100
-28.7	28.7	100	100
-28.8	28.8	100	100
-28.9	28.9	100	100
-29.0	29.0	100	100
-29.1	29.1	100	100
-29.2	29.2	100	100
-29.3	29.3	100	100
-29.4	29.4	100	100
-29.5	29.5	100	100
-29.6	29.6	100	100
-29.7	29.7	100	100
-29.8	29.8	100	100
-29.9	29.9	100	100
-30.0	30.0	100	100
-30.1	30.1	100	100
-30.2	30.2	100	100
-30.3	30.3	100	100
-30.4	30.4	100	100
-30.5	30.5	100	100
-30.6	30.6	100	100
-30.7	30.7	100	100
-30.8	30.8	100	100
-30.9	30.9	100	100
-31.0	31.0	100	100
-31.1	31.1	100	100
-31.2	31.2	100	100
-31.3	31.3	100	100
-31.4	31.4	100	100
-31.5	31.5	100	100
-31.6	31.6	100	100
-31.7	31.7	100	100
-31.8	31.8	100	100
-31.9	31.9	100	100
-32.0	32.0	100	100
-32.1	32.1	100	100
-32.2	32.2	100	100
-32.3	32.3	100	100
-32.4	32.4	100	100
-32.5	32.5	100	100
-32.6	32.6	100	100
-32.7	32.7	100	100
-32.8	32.8	100	100
-32.9	32.9	100	100
-33.0	33.0	100	100
-33.1	33.1	100	100
-33.2	33.2	100	100
-33.3	33.3	100	100
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/AnyChar.txt b/tests/resources/analysis_results/ref_reports/AnyChar.txt
deleted file mode 100644
index 2974f958..00000000
--- a/tests/resources/analysis_results/ref_reports/AnyChar.txt
+++ /dev/null
@@ -1,830 +0,0 @@
-Tool	Khiops
-Version	10.0.6i
-Short description	
-Logs
-Data preparation
-warning : Data table ./AnyChar.txt : Record 10 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 26 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 264 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 280 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 772 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 788 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 1026 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 1042 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 1296 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 1534 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 1550 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 1788 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 2042 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 2058 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 2312 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 2550 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 2566 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 2804 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table ./AnyChar.txt : Record 2820 : Variable <Char> with value << >> : Ctrl-Z (ascii 26) replaced by space char
-warning : Data table ./AnyChar.txt : Record 3058 : Variable <Char> with value << >> : tabulation replaced by space char
-warning : Data table : ...
-
-
-Report	Preparation
-
-Dictionary	AnyChar
-Variables
-	Categorical	13
-	Numerical	1
-	Total	14
-Database	./AnyChar.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	3530
-Learning task	Classification analysis
-Target variable	isalnum
-Main target value	1
-Target descriptive stats
-	Values	2
-	Mode	0
-	Mode frequency	2663
-Target variable stats
-	0	2663
-	1	867
-Evaluated variables	13
-Informative variables	13
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	8.16934
-	Data cost	1963.67
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	Index	Numerical	0.960544		7	254	1	255	128.2150142	73.50981088	0			3.2581	74.5699	0	
-R02	Char	Categorical	0.900678		2	249							92	3.2581	192.658	0	
-R03	<Char>	Categorical	0.899624		2	252						< >	47	3.2581	194.737	0	
-R04	isgraph	Categorical	0.573163		2	2						0	2231	3.2581	16.306	822.386	
-R05	isprint	Categorical	0.564336		2	2						0	2215	3.2581	16.3111	839.794	
-R06	isascii	Categorical	0.376102		2	2						0	1777	3.2581	16.3781	1211.02	
-R07	isupper	Categorical	0.301092		2	2						0	3154	3.2581	15.4142	1359.95	
-R08	islower	Categorical	0.281514		2	2						0	3175	3.2581	15.3636	1398.62	
-R09	isxdigit	Categorical	0.238119		2	2						0	3223	3.2581	15.2337	1484.34	
-R10	isdigit	Categorical	0.0966412		2	2						0	3394	3.2581	14.4753	1764.17	
-R11	iscntrl	Categorical	0.0625008		2	2						0	3092	3.2581	15.5466	1830.44	
-R12	ispunct	Categorical	0.0615072		2	2						0	3098	3.2581	15.5348	1832.42	
-R13	isspace	Categorical	0.00678074		2	2						0	3454	3.2581	13.9166	1941.98	
-
-Detailed variable statistics
-
-Rank	R01	Index	Numerical
-
-Data grid	Supervised
-Dimensions
-Index	Numerical	Intervals
-	]-inf;47.5]	1	47.5
-	]47.5;57.5]	47.5	57.5
-	]57.5;64.5]	57.5	64.5
-	]64.5;90.5]	64.5	90.5
-	]90.5;96.5]	90.5	96.5
-	]96.5;122.5]	96.5	122.5
-	]122.5;+inf[	122.5	255
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;47.5]	638	0	0.0913781
-]47.5;57.5]	0	136	0.0970336
-]57.5;64.5]	100	0	0.0143226
-]64.5;90.5]	0	376	0.268269
-]90.5;96.5]	75	0	0.0107419
-]96.5;122.5]	0	355	0.253286
-]122.5;+inf[	1850	0	0.264968
-
-Rank	R02	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{, , ”, ...}			”	Ù	:	§	í		/	€	‚	…	¡	°	½	é	ü	)	*	>	]		�	‰	œ	ª	±	²	¼	È	É	Ú	ì	ð	ý					;	{	~	‹	�	“	�	¢	¥	·	¹	À	Ã	Ê	Ë	Í	Î	Ó	Ö	ß	ã	ä	å	î	ñ	ø	ù	þ	
												'	+	-	<	=	}	„	Š	Ž	•	–	—	Ÿ	¨	­	µ	»	Â	Æ	Ò	×	Ø	à	æ	è	ë	ô				!	"	&	,	[	^	_	|	ƒ	†	ˆ	‘	’	˜	š	›	ž	 	£	©	®	³	¸	º	Á	Ä	Ç	Ñ	Û	Þ	á	ï	õ	÷	ú	û		$	%	@	‡	Œ	™	«	¬	¯	´	¶	¿	Ì	Ï	Ô	Õ	â	ê	ò	ö	ÿ		#	(	.	?	�	¤	¾	Ü	ç			\	`	Ð	Ý	�	Å	ó	¦	 * 
-	{a, 5, E, ...}	a	5	E	G	N	R	d	h	s	A	F	J	L	M	Z	g	u	v	x	7	P	U	W	Y	j	p	w	0	2	3	6	9	C	I	f	k	m	4	B	D	K	O	Q	X	n	q	r	S	T	b	e	y	1	H	V	i	t	z	8	c	l	o
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{, , ”, ...}	2663	0	0.381411
-{a, 5, E, ...}	0	867	0.618589
-
-Input values
-		92
-		19
-	”	19
-	Ù	19
-	:	18
-	a	18
-	§	18
-	í	18
-		17
-	/	17
-	5	17
-	E	17
-	G	17
-	N	17
-	R	17
-	d	17
-	h	17
-	s	17
-	€	17
-	‚	17
-	…	17
-	¡	17
-	°	17
-	½	17
-	é	17
-	ü	17
-	)	16
-	*	16
-	>	16
-	A	16
-	F	16
-	J	16
-	L	16
-	M	16
-	Z	16
-	]	16
-	g	16
-	u	16
-	v	16
-	x	16
-		16
-	�	16
-	‰	16
-	œ	16
-	ª	16
-	±	16
-	²	16
-	¼	16
-	È	16
-	É	16
-	Ú	16
-	ì	16
-	ð	16
-	ý	16
-		15
-		15
-		15
-		15
-	7	15
-	;	15
-	P	15
-	U	15
-	W	15
-	Y	15
-	j	15
-	p	15
-	w	15
-	{	15
-	~	15
-	‹	15
-	�	15
-	“	15
-	�	15
-	¢	15
-	¥	15
-	·	15
-	¹	15
-	À	15
-	Ã	15
-	Ê	15
-	Ë	15
-	Í	15
-	Î	15
-	Ó	15
-	Ö	15
-	ß	15
-	ã	15
-	ä	15
-	å	15
-	î	15
-	ñ	15
-	ø	15
-	ù	15
-	þ	15
-	
	14
-		14
-		14
-		14
-		14
-		14
-		14
-		14
-		14
-		14
-		14
-		14
-	'	14
-	+	14
-	-	14
-	0	14
-	2	14
-	3	14
-	6	14
-	9	14
-	<	14
-	=	14
-	C	14
-	I	14
-	f	14
-	k	14
-	m	14
-	}	14
-	„	14
-	Š	14
-	Ž	14
-	•	14
-	–	14
-	—	14
-	Ÿ	14
-	¨	14
-	­	14
-	µ	14
-	»	14
-	Â	14
-	Æ	14
-	Ò	14
-	×	14
-	Ø	14
-	à	14
-	æ	14
-	è	14
-	ë	14
-	ô	14
-		13
-		13
-		13
-	!	13
-	"	13
-	&	13
-	,	13
-	4	13
-	B	13
-	D	13
-	K	13
-	O	13
-	Q	13
-	X	13
-	[	13
-	^	13
-	_	13
-	n	13
-	q	13
-	r	13
-	|	13
-	ƒ	13
-	†	13
-	ˆ	13
-	‘	13
-	’	13
-	˜	13
-	š	13
-	›	13
-	ž	13
-	 	13
-	£	13
-	©	13
-	®	13
-	³	13
-	¸	13
-	º	13
-	Á	13
-	Ä	13
-	Ç	13
-	Ñ	13
-	Û	13
-	Þ	13
-	á	13
-	ï	13
-	õ	13
-	÷	13
-	ú	13
-	û	13
-		12
-	$	12
-	%	12
-	@	12
-	S	12
-	T	12
-	b	12
-	e	12
-	y	12
-	‡	12
-	Œ	12
-	™	12
-	«	12
-	¬	12
-	¯	12
-	´	12
-	¶	12
-	¿	12
-	Ì	12
-	Ï	12
-	Ô	12
-	Õ	12
-	â	12
-	ê	12
-	ò	12
-	ö	12
-	ÿ	12
-		11
-	#	11
-	(	11
-	.	11
-	1	11
-	?	11
-	H	11
-	V	11
-	i	11
-	t	11
-	z	11
-	�	11
-	¤	11
-	¾	11
-	Ü	11
-	ç	11
-		10
-		10
-	8	10
-	\	10
-	`	10
-	Ð	10
-	Ý	10
-	c	9
-	l	9
-	o	9
-	�	9
-	Å	9
-	ó	9
-	¦	8
-
-Rank	R03	<Char>	Categorical
-
-Data grid	Supervised
-Dimensions
-<Char>	Categorical	Value groups
-	{< >, <>, <”>, ...}	< >	<>	<”>	<Ù>	<:>	<§>	<í>	<>	</>	<€>	<‚>	<…>	<¡>	<°>	<½>	<é>	<ü>	<>	<)>	<*>	<>>	<]>	<>	<�>	<‰>	<œ>	<ª>	<±>	<²>	<¼>	<È>	<É>	<Ú>	<ì>	<ð>	<ý>	<>	<>	<>	<
>	<>	<;>	<{>	<~>	<‹>	<�>	<“>	<�>	<¢>	<¥>	<·>	<¹>	<À>	<Ã>	<Ê>	<Ë>	<Í>	<Î>	<Ó>	<Ö>	<ß>	<ã>	<ä>	<å>	<î>	<ñ>	<ø>	<ù>	<þ>	<
>	<>	<>	<>	<>	<>	<>	<>	<>	<>	<>	<>	<>	<'>	<+>	<->	<<>	<=>	<}>	<„>	<Š>	<Ž>	<•>	<–>	<—>	<Ÿ>	<¨>	<­>	<µ>	<»>	<Â>	<Æ>	<Ò>	<×>	<Ø>	<à>	<æ>	<è>	<ë>	<ô>	<>	<>	<>	<!>	<">	<&>	<,>	<[>	<^>	<_>	<|>	<ƒ>	<†>	<ˆ>	<‘>	<’>	<˜>	<š>	<›>	<ž>	< >	<£>	<©>	<®>	<³>	<¸>	<º>	<Á>	<Ä>	<Ç>	<Ñ>	<Û>	<Þ>	<á>	<ï>	<õ>	<÷>	<ú>	<û>	<>	<$>	<%>	<@>	<‡>	<Œ>	<™>	<«>	<¬>	<¯>	<´>	<¶>	<¿>	<Ì>	<Ï>	<Ô>	<Õ>	<â>	<ê>	<ò>	<ö>	<ÿ>	<>	<#>	<(>	<.>	<?>	<�>	<¤>	<¾>	<Ü>	<ç>	<>	<>	<\>	<`>	<Ð>	<Ý>	<�>	<Å>	<ó>	<¦>	 * 
-	{<a>, <5>, <E>, ...}	<a>	<5>	<E>	<G>	<N>	<R>	<d>	<h>	<s>	<A>	<F>	<J>	<L>	<M>	<Z>	<g>	<u>	<v>	<x>	<7>	<P>	<U>	<W>	<Y>	<j>	<p>	<w>	<0>	<2>	<3>	<6>	<9>	<C>	<I>	<f>	<k>	<m>	<4>	<B>	<D>	<K>	<O>	<Q>	<X>	<n>	<q>	<r>	<S>	<T>	<b>	<e>	<y>	<1>	<H>	<V>	<i>	<t>	<z>	<8>	<c>	<l>	<o>
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{< >, <>, <”>, ...}	2663	0	0.381411
-{<a>, <5>, <E>, ...}	0	867	0.618589
-
-Input values
-	< >	47
-	<>	19
-	<”>	19
-	<Ù>	19
-	<:>	18
-	<a>	18
-	<§>	18
-	<í>	18
-	<>	17
-	</>	17
-	<5>	17
-	<E>	17
-	<G>	17
-	<N>	17
-	<R>	17
-	<d>	17
-	<h>	17
-	<s>	17
-	<€>	17
-	<‚>	17
-	<…>	17
-	<¡>	17
-	<°>	17
-	<½>	17
-	<é>	17
-	<ü>	17
-	<>	16
-	<)>	16
-	<*>	16
-	<>>	16
-	<A>	16
-	<F>	16
-	<J>	16
-	<L>	16
-	<M>	16
-	<Z>	16
-	<]>	16
-	<g>	16
-	<u>	16
-	<v>	16
-	<x>	16
-	<>	16
-	<�>	16
-	<‰>	16
-	<œ>	16
-	<ª>	16
-	<±>	16
-	<²>	16
-	<¼>	16
-	<È>	16
-	<É>	16
-	<Ú>	16
-	<ì>	16
-	<ð>	16
-	<ý>	16
-	<>	15
-	<>	15
-	<>	15
-	<
>	15
-	<>	15
-	<7>	15
-	<;>	15
-	<P>	15
-	<U>	15
-	<W>	15
-	<Y>	15
-	<j>	15
-	<p>	15
-	<w>	15
-	<{>	15
-	<~>	15
-	<‹>	15
-	<�>	15
-	<“>	15
-	<�>	15
-	<¢>	15
-	<¥>	15
-	<·>	15
-	<¹>	15
-	<À>	15
-	<Ã>	15
-	<Ê>	15
-	<Ë>	15
-	<Í>	15
-	<Î>	15
-	<Ó>	15
-	<Ö>	15
-	<ß>	15
-	<ã>	15
-	<ä>	15
-	<å>	15
-	<î>	15
-	<ñ>	15
-	<ø>	15
-	<ù>	15
-	<þ>	15
-	<
>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<>	14
-	<'>	14
-	<+>	14
-	<->	14
-	<0>	14
-	<2>	14
-	<3>	14
-	<6>	14
-	<9>	14
-	<<>	14
-	<=>	14
-	<C>	14
-	<I>	14
-	<f>	14
-	<k>	14
-	<m>	14
-	<}>	14
-	<„>	14
-	<Š>	14
-	<Ž>	14
-	<•>	14
-	<–>	14
-	<—>	14
-	<Ÿ>	14
-	<¨>	14
-	<­>	14
-	<µ>	14
-	<»>	14
-	<Â>	14
-	<Æ>	14
-	<Ò>	14
-	<×>	14
-	<Ø>	14
-	<à>	14
-	<æ>	14
-	<è>	14
-	<ë>	14
-	<ô>	14
-	<>	13
-	<>	13
-	<>	13
-	<!>	13
-	<">	13
-	<&>	13
-	<,>	13
-	<4>	13
-	<B>	13
-	<D>	13
-	<K>	13
-	<O>	13
-	<Q>	13
-	<X>	13
-	<[>	13
-	<^>	13
-	<_>	13
-	<n>	13
-	<q>	13
-	<r>	13
-	<|>	13
-	<ƒ>	13
-	<†>	13
-	<ˆ>	13
-	<‘>	13
-	<’>	13
-	<˜>	13
-	<š>	13
-	<›>	13
-	<ž>	13
-	< >	13
-	<£>	13
-	<©>	13
-	<®>	13
-	<³>	13
-	<¸>	13
-	<º>	13
-	<Á>	13
-	<Ä>	13
-	<Ç>	13
-	<Ñ>	13
-	<Û>	13
-	<Þ>	13
-	<á>	13
-	<ï>	13
-	<õ>	13
-	<÷>	13
-	<ú>	13
-	<û>	13
-	<>	12
-	<$>	12
-	<%>	12
-	<@>	12
-	<S>	12
-	<T>	12
-	<b>	12
-	<e>	12
-	<y>	12
-	<‡>	12
-	<Œ>	12
-	<™>	12
-	<«>	12
-	<¬>	12
-	<¯>	12
-	<´>	12
-	<¶>	12
-	<¿>	12
-	<Ì>	12
-	<Ï>	12
-	<Ô>	12
-	<Õ>	12
-	<â>	12
-	<ê>	12
-	<ò>	12
-	<ö>	12
-	<ÿ>	12
-	<>	11
-	<#>	11
-	<(>	11
-	<.>	11
-	<1>	11
-	<?>	11
-	<H>	11
-	<V>	11
-	<i>	11
-	<t>	11
-	<z>	11
-	<�>	11
-	<¤>	11
-	<¾>	11
-	<Ü>	11
-	<ç>	11
-	<>	10
-	<>	10
-	<8>	10
-	<\>	10
-	<`>	10
-	<Ð>	10
-	<Ý>	10
-	<c>	9
-	<l>	9
-	<o>	9
-	<�>	9
-	<Å>	9
-	<ó>	9
-	<¦>	8
-
-Rank	R04	isgraph	Categorical
-
-Data grid	Supervised
-Dimensions
-isgraph	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2231	0	0.550756
-{1}	432	867	0.449244
-
-Input values
-	0	2231
-	1	1299
-
-Rank	R05	isprint	Categorical
-
-Data grid	Supervised
-Dimensions
-isprint	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2215	0	0.555278
-{1}	448	867	0.444722
-
-Input values
-	0	2215
-	1	1315
-
-Rank	R06	isascii	Categorical
-
-Data grid	Supervised
-Dimensions
-isascii	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	1777	0	0.665257
-{1}	886	867	0.334743
-
-Input values
-	0	1777
-	1	1753
-
-Rank	R07	isupper	Categorical
-
-Data grid	Supervised
-Dimensions
-isupper	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2663	491	0.12591
-{1}	0	376	0.87409
-
-Input values
-	0	3154
-	1	376
-
-Rank	R08	islower	Categorical
-
-Data grid	Supervised
-Dimensions
-islower	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2663	512	0.118247
-{1}	0	355	0.881753
-
-Input values
-	0	3175
-	1	355
-
-Rank	R09	isxdigit	Categorical
-
-Data grid	Supervised
-Dimensions
-isxdigit	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2663	560	0.101081
-{1}	0	307	0.898919
-
-Input values
-	0	3223
-	1	307
-
-Rank	R10	isdigit	Categorical
-
-Data grid	Supervised
-Dimensions
-isdigit	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2663	731	0.0431871
-{1}	0	136	0.956813
-
-Input values
-	0	3394
-	1	136
-
-Rank	R11	iscntrl	Categorical
-
-Data grid	Supervised
-Dimensions
-iscntrl	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2225	867	0.0735672
-{1}	438	0	0.926433
-
-Input values
-	0	3092
-	1	438
-
-Rank	R12	ispunct	Categorical
-
-Data grid	Supervised
-Dimensions
-ispunct	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2231	867	0.0725316
-{1}	432	0	0.927468
-
-Input values
-	0	3098
-	1	432
-
-Rank	R13	isspace	Categorical
-
-Data grid	Supervised
-Dimensions
-isspace	Categorical	Value groups
-	{0}	0
-	{1}	1	 * 
-isalnum	Categorical	Values
-	0
-	1
-Cells
-Value group	0	1	Interest
-{0}	2587	867	0.0124886
-{1}	76	0	0.987511
-
-Input values
-	0	3454
-	1	76
diff --git a/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt b/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt
deleted file mode 100644
index 27e01f38..00000000
--- a/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt
+++ /dev/null
@@ -1,8211 +0,0 @@
-Tool	Khiops
-Version	10.3.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Deft2017
-Variables
-	Categorical	2
-	Text	1
-	Total	3
-Database	../../../TextDatasets/Deft2017/Deft2017.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	2755
-Learning task	Classification analysis
-Target variable	CLASS
-Target descriptive stats
-	Values	4
-	Mode	objective
-	Mode frequency	1163
-Target variable stats
-	mixed	337
-	negative	910
-	objective	1163
-	positive	345
-Evaluated variables	1
-Informative variables	0
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	21.9739
-	Data cost	3424.3
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	ID	Categorical	0		1	2755						ID0002	1	0.693147	21.9739	3424.3	
-
-Detailed variable statistics
-
-
-Report	Modeling
-
-Dictionary	Deft2017
-Database	../../../TextDatasets/Deft2017/Deft2017.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	CLASS
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	54
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PTXT.3gram(htt)	TXT.3gram(htt)	0.149605	0.34375	0.226775
-PTXT.3gram(ttp)	TXT.3gram(ttp)	0.149602	0.25	0.193392
-PTXT.2gram(: )	TXT.2gram(: )	0.0493003	0.4375	0.146863
-PTXT.2gram(#x)	TXT.2gram(#x)	0.0350815	0.46875	0.128236
-PTXT.1gram(!)	TXT.1gram(!)	0.0150068	0.84375	0.112525
-PTXT.1gram( )	TXT.1gram( )	0.0367643	0.171875	0.0794913
-PTXT.3gram(via)	TXT.3gram(via)	0.0264472	0.21875	0.0760613
-PTXT.2gram( m)	TXT.2gram( m)	0.0155686	0.296875	0.0679848
-PTXT.2gram( -)	TXT.2gram( -)	0.0162871	0.28125	0.0676812
-PTXT.2gram(tt)	TXT.2gram(tt)	0.116974	0.0390625	0.0675966
-PTXT.3gram( pa)	TXT.3gram( pa)	0.0156501	0.261719	0.0639994
-PTXT.1gram(')	TXT.1gram(')	0.0140427	0.25	0.059251
-PTXT.2gram(t )	TXT.2gram(t )	0.0157388	0.21875	0.058676
-PTXT.1gram(€)	TXT.1gram(€)	0.0106858	0.265625	0.0532769
-PTXT.2gram( &)	TXT.2gram( &)	0.0291665	0.09375	0.0522911
-PTXT.2gram(ar)	TXT.2gram(ar)	0.0101514	0.25	0.0503771
-PTXT.2gram(y/)	TXT.2gram(y/)	0.0179322	0.140625	0.0502167
-PTXT.1gram(Â)	TXT.1gram(Â)	0.00840395	0.296875	0.0499492
-PTXT.2gram( c)	TXT.2gram( c)	0.0133791	0.179688	0.0490312
-PTXT.5gram( http)	TXT.5gram( http)	0.14902	0.015625	0.0482538
-PTXT.2gram( p)	TXT.2gram( p)	0.0145528	0.15625	0.0476852
-PTXT.2gram( b)	TXT.2gram( b)	0.00450917	0.484375	0.0467347
-PTXT.4gram(ande)	TXT.4gram(ande)	0.00439718	0.421875	0.0430704
-PTXT.2gram( n)	TXT.2gram( n)	0.0106979	0.171875	0.04288
-PTXT.2gram( j)	TXT.2gram( j)	0.00735299	0.25	0.0428748
-PTXT.2gram(! )	TXT.2gram(! )	0.0105128	0.171875	0.0425075
-PTXT.2gram( t)	TXT.2gram( t)	0.0075452	0.21875	0.0406265
-PTXT.3gram(as )	TXT.3gram(as )	0.0113994	0.125	0.0377482
-PTXT.1gram(s)	TXT.1gram(s)	0.00799351	0.15625	0.035341
-PTXT.3gram(me )	TXT.3gram(me )	0.00448778	0.25	0.0334954
-PTXT.2gram(Er)	TXT.2gram(Er)	0.00280308	0.359375	0.0317389
-PTXT.3gram(e h)	TXT.3gram(e h)	0.0107346	0.09375	0.0317233
-PTXT.1gram(u)	TXT.1gram(u)	0.00391461	0.25	0.0312834
-PTXT.2gram(  )	TXT.2gram(  )	0.0028466	0.34375	0.0312813
-PTXT.4gram(ais )	TXT.4gram(ais )	0.00492255	0.185547	0.0302219
-PTXT.6gram(c'est )	TXT.6gram(c'est )	0.00694626	0.109375	0.0275635
-PTXT.1gram(y)	TXT.1gram(y)	0.0166635	0.0385742	0.0253531
-PTXT.3gram(ait)	TXT.3gram(ait)	0.00250638	0.1875	0.0216782
-PTXT.3gram(ist)	TXT.3gram(ist)	0.00104643	0.445313	0.0215868
-PTXT.4gram(Holl)	TXT.4gram(Holl)	0.00301988	0.140625	0.0206076
-PTXT.4gram( pas)	TXT.4gram( pas)	0.0129962	0.03125	0.0201527
-PTXT.7gram(ollande)	TXT.7gram(ollande)	0.00316974	0.125	0.0199052
-PTXT.2gram(es)	TXT.2gram(es)	0.00133323	0.25	0.0182567
-PTXT.3gram(Syr)	TXT.3gram(Syr)	0.00588518	0.046875	0.0166093
-PTXT.1gram(,)	TXT.1gram(,)	0.00135293	0.1875	0.0159272
-PTXT.2gram( @)	TXT.2gram( @)	0.00243719	0.0927734	0.0150369
-PTXT.3gram(ant)	TXT.3gram(ant)	0.00165405	0.125	0.014379
-PTXT.3gram(ark)	TXT.3gram(ark)	0.000807727	0.226563	0.0135278
-PTXT.1gram(x)	TXT.1gram(x)	0.00386012	0.03125	0.0109831
-PTXT.3gram( tr)	TXT.3gram( tr)	0.000758481	0.15625	0.0108864
-PTXT.6gram(Hollan)	TXT.6gram(Hollan)	0.00301766	0.03125	0.00971091
-PTXT.2gram(uc)	TXT.2gram(uc)	0.000597689	0.109375	0.00808531
-PTXT.3gram(nd )	TXT.3gram(nd )	0.000187545	0.25	0.00684734
-PTXT.1gram(?)	TXT.1gram(?)	4.53161e-05	0.453125	0.00453143
-
-
-Report	Evaluation	Train
-
-Dictionary	Deft2017
-Database	../../../TextDatasets/Deft2017/Deft2017.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	2755
-Learning task	Classification analysis
-Target variable	CLASS
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.648276	0.29205	0.839254
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	mixed	negative	objective	positive
-$mixed	0	0	0	0
-$negative	232	685	204	145
-$objective	64	181	938	37
-$positive	41	44	21	163
-
-Lift curves	mixed
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.817507	0.593472
-0.2	0.2	1.63501	0.890208
-0.3	0.3	2.45252	0.968843
-0.4	0.4	3.27003	1.48368
-0.5	0.5	4.08754	1.78042
-0.6	0.6	4.90504	1.93769
-0.7	0.7	5.72255	2.07715
-0.8	0.8	6.54006	2.38576
-0.9	0.9	7.35757	2.96736
-1.0	1.0	8.17507	3.13056
-1.1	1.1	8.99258	3.56083
-1.2	1.2	9.81009	3.56083
-1.3	1.3	10.6276	4.09941
-1.4	1.4	11.4451	4.45104
-1.5	1.5	12.2626	4.54748
-1.6	1.6	13.0801	4.77151
-1.7	1.7	13.8976	5.34125
-1.8	1.8	14.7151	5.51632
-1.9	1.9	15.5326	6.33383
-2.0	2.0	16.3501	6.55786
-2.1	2.1	17.1677	7.37537
-2.2	2.2	17.9852	7.71513
-2.3	2.3	18.8027	8.01187
-2.4	2.4	19.6202	8.30861
-2.5	2.5	20.4377	8.56825
-2.6	2.6	21.2552	8.60534
-2.7	2.7	22.0727	9.19881
-2.8	2.8	22.8902	9.79228
-2.9	2.9	23.7077	9.79228
-3.0	3.0	24.5252	10.5786
-3.1	3.1	25.3427	10.6825
-3.2	3.2	26.1602	11.0267
-3.3	3.3	26.9777	11.276
-3.4	3.4	27.7953	11.8694
-3.5	3.5	28.6128	12.1662
-3.6	3.6	29.4303	12.1662
-3.7	3.7	30.2478	12.1662
-3.8	3.8	31.0653	12.6677
-3.9	3.9	31.8828	12.8917
-4.0	4.0	32.7003	13.0564
-4.1	4.1	33.5178	13.0564
-4.2	4.2	34.3353	13.5638
-4.3	4.3	35.1528	13.7878
-4.4	4.4	35.9703	14.2433
-4.5	4.5	36.7878	14.5401
-4.6	4.6	37.6053	14.5401
-4.7	4.7	38.4228	14.5401
-4.8	4.8	39.2404	14.5401
-4.9	4.9	40.0579	14.8368
-5.0	5.0	40.8754	15.1335
-5.1	5.1	41.6929	15.5801
-5.2	5.2	42.5104	16.0237
-5.3	5.3	43.3279	16.0282
-5.4	5.4	44.1454	16.3205
-5.5	5.5	44.9629	16.773
-5.6	5.6	45.7804	16.997
-5.7	5.7	46.5979	17.2107
-5.8	5.8	47.4154	17.4451
-5.9	5.9	48.2329	17.8042
-6.0	6.0	49.0504	17.8042
-6.1	6.1	49.868	18.1009
-6.2	6.2	50.6855	18.1009
-6.3	6.3	51.503	18.3976
-6.4	6.4	52.3205	18.7893
-6.5	6.5	53.138	18.9911
-6.6	6.6	53.9555	18.9911
-6.7	6.7	54.773	18.9911
-6.8	6.8	55.5905	18.9911
-6.9	6.9	56.408	18.9911
-7.0	7.0	57.2255	19.2433
-7.1	7.1	58.043	19.2878
-7.2	7.2	58.8605	19.5846
-7.3	7.3	59.678	19.5846
-7.4	7.4	60.4955	19.8813
-7.5	7.5	61.3131	19.8813
-7.6	7.6	62.1306	19.8813
-7.7	7.7	62.9481	20.2181
-7.8	7.8	63.7656	20.4748
-7.9	7.9	64.5831	20.9629
-8.0	8.0	65.4006	21.0682
-8.1	8.1	66.2181	21.0682
-8.2	8.2	67.0356	21.0682
-8.3	8.3	67.8531	21.0682
-8.4	8.4	68.6706	21.365
-8.5	8.5	69.4881	21.6617
-8.6	8.6	70.3056	21.6617
-8.7	8.7	71.1231	21.6617
-8.8	8.8	71.9407	21.9585
-8.9	8.9	72.7582	22.6098
-9.0	9.0	73.5757	22.8487
-9.1	9.1	74.3932	23.1454
-9.2	9.2	75.2107	23.1454
-9.3	9.3	76.0282	23.4421
-9.4	9.4	76.8457	23.4421
-9.5	9.5	77.6632	23.4421
-9.6	9.6	78.4807	23.4421
-9.7	9.7	79.2982	23.4421
-9.8	9.8	80.1157	23.4421
-9.9	9.9	80.9332	23.4421
-10.0	10.0	81.7507	23.7389
-10.1	10.1	82.5682	24.3323
-10.2	10.2	83.3858	24.9258
-10.3	10.3	84.2033	25.2226
-10.4	10.4	85.0208	25.2226
-10.5	10.5	85.8383	25.2226
-10.6	10.6	86.6558	25.5193
-10.7	10.7	87.4733	25.816
-10.8	10.8	88.2908	26.1128
-10.9	10.9	89.1083	26.4095
-11.0	11.0	89.9258	26.4095
-11.1	11.1	90.7433	26.4095
-11.2	11.2	91.5608	26.4095
-11.3	11.3	92.3783	26.7062
-11.4	11.4	93.1958	26.7062
-11.5	11.5	94.0134	26.951
-11.6	11.6	94.8309	27.2997
-11.7	11.7	95.6484	27.5964
-11.8	11.8	96.4659	27.8932
-11.9	11.9	97.2834	27.8932
-12.0	12.0	98.1009	27.8932
-12.1	12.1	98.9184	28.4866
-12.2	12.2	99.7359	28.4866
-12.3	12.3	100	28.4866
-12.4	12.4	100	28.6706
-12.5	12.5	100	28.8947
-12.6	12.6	100	29.0801
-12.7	12.7	100	29.0801
-12.8	12.8	100	29.0801
-12.9	12.9	100	29.3769
-13.0	13.0	100	29.3769
-13.1	13.1	100	29.6454
-13.2	13.2	100	29.6736
-13.3	13.3	100	29.9703
-13.4	13.4	100	29.9703
-13.5	13.5	100	29.9703
-13.6	13.6	100	30.1721
-13.7	13.7	100	30.2671
-13.8	13.8	100	30.5638
-13.9	13.9	100	30.8442
-14.0	14.0	100	30.8605
-14.1	14.1	100	30.8605
-14.2	14.2	100	30.8605
-14.3	14.3	100	31.4436
-14.4	14.4	100	31.7507
-14.5	14.5	100	31.8917
-14.6	14.6	100	32.1157
-14.7	14.7	100	32.3442
-14.8	14.8	100	32.3442
-14.9	14.9	100	32.3442
-15.0	15.0	100	32.3442
-15.1	15.1	100	32.9377
-15.2	15.2	100	32.9377
-15.3	15.3	100	32.9377
-15.4	15.4	100	33.2344
-15.5	15.5	100	33.8279
-15.6	15.6	100	33.8279
-15.7	15.7	100	34.1246
-15.8	15.8	100	34.4214
-15.9	15.9	100	34.4214
-16.0	16.0	100	34.4214
-16.1	16.1	100	34.4214
-16.2	16.2	100	34.4214
-16.3	16.3	100	34.7181
-16.4	16.4	100	34.9614
-16.5	16.5	100	35.0148
-16.6	16.6	100	35.7062
-16.7	16.7	100	35.905
-16.8	16.8	100	35.905
-16.9	16.9	100	35.905
-17.0	17.0	100	36.2018
-17.1	17.1	100	36.2018
-17.2	17.2	100	36.2018
-17.3	17.3	100	36.2018
-17.4	17.4	100	36.3116
-17.5	17.5	100	36.5356
-17.6	17.6	100	36.7953
-17.7	17.7	100	37.092
-17.8	17.8	100	37.092
-17.9	17.9	100	37.3887
-18.0	18.0	100	37.3887
-18.1	18.1	100	37.3887
-18.2	18.2	100	37.6855
-18.3	18.3	100	37.6855
-18.4	18.4	100	37.9585
-18.5	18.5	100	37.9822
-18.6	18.6	100	38.2789
-18.7	18.7	100	38.2789
-18.8	18.8	100	38.5579
-18.9	18.9	100	38.5757
-19.0	19.0	100	38.5757
-19.1	19.1	100	38.5757
-19.2	19.2	100	38.5757
-19.3	19.3	100	38.5757
-19.4	19.4	100	38.5757
-19.5	19.5	100	38.5757
-19.6	19.6	100	38.8724
-19.7	19.7	100	39.1691
-19.8	19.8	100	39.1691
-19.9	19.9	100	39.1691
-20.0	20.0	100	39.4659
-20.1	20.1	100	39.4659
-20.2	20.2	100	39.4659
-20.3	20.3	100	39.7626
-20.4	20.4	100	39.7626
-20.5	20.5	100	39.9926
-20.6	20.6	100	40.0593
-20.7	20.7	100	40.4407
-20.8	20.8	100	40.9496
-20.9	20.9	100	40.9496
-21.0	21.0	100	41.543
-21.1	21.1	100	41.543
-21.2	21.2	100	41.543
-21.3	21.3	100	41.8398
-21.4	21.4	100	42.1365
-21.5	21.5	100	42.5297
-21.6	21.6	100	43.0267
-21.7	21.7	100	43.2745
-21.8	21.8	100	43.3234
-21.9	21.9	100	43.6202
-22.0	22.0	100	43.9169
-22.1	22.1	100	43.9169
-22.2	22.2	100	43.9169
-22.3	22.3	100	43.9169
-22.4	22.4	100	43.9169
-22.5	22.5	100	44.2136
-22.6	22.6	100	44.5104
-22.7	22.7	100	44.5104
-22.8	22.8	100	44.5104
-22.9	22.9	100	44.5104
-23.0	23.0	100	45
-23.1	23.1	100	45.224
-23.2	23.2	100	45.4006
-23.3	23.3	100	45.6973
-23.4	23.4	100	45.6973
-23.5	23.5	100	45.6973
-23.6	23.6	100	45.6973
-23.7	23.7	100	45.9941
-23.8	23.8	100	45.9941
-23.9	23.9	100	45.9941
-24.0	24.0	100	45.9941
-24.1	24.1	100	45.9941
-24.2	24.2	100	46.2908
-24.3	24.3	100	46.5875
-24.4	24.4	100	46.5875
-24.5	24.5	100	46.5875
-24.6	24.6	100	47.181
-24.7	24.7	100	47.181
-24.8	24.8	100	47.4777
-24.9	24.9	100	47.7745
-25.0	25.0	100	48.0712
-25.1	25.1	100	48.2211
-25.2	25.2	100	48.368
-25.3	25.3	100	48.368
-25.4	25.4	100	48.368
-25.5	25.5	100	48.5237
-25.6	25.6	100	48.6647
-25.7	25.7	100	48.6647
-25.8	25.8	100	48.9614
-25.9	25.9	100	49.5549
-26.0	26.0	100	49.5549
-26.1	26.1	100	49.5712
-26.2	26.2	100	50.1484
-26.3	26.3	100	50.7418
-26.4	26.4	100	50.7418
-26.5	26.5	100	50.7418
-26.6	26.6	100	50.7418
-26.7	26.7	100	50.7418
-26.8	26.8	100	50.7418
-26.9	26.9	100	50.7418
-27.0	27.0	100	50.7418
-27.1	27.1	100	50.7418
-27.2	27.2	100	50.7418
-27.3	27.3	100	50.7418
-27.4	27.4	100	51.0386
-27.5	27.5	100	51.0386
-27.6	27.6	100	51.3353
-27.7	27.7	100	51.632
-27.8	27.8	100	51.8961
-27.9	27.9	100	51.9288
-28.0	28.0	100	52.3442
-28.1	28.1	100	52.5223
-28.2	28.2	100	52.5223
-28.3	28.3	100	52.5223
-28.4	28.4	100	52.5223
-28.5	28.5	100	52.819
-28.6	28.6	100	52.819
-28.7	28.7	100	53.1157
-28.8	28.8	100	53.7092
-28.9	28.9	100	54.0059
-29.0	29.0	100	54.0059
-29.1	29.1	100	54.0059
-29.2	29.2	100	54.0059
-29.3	29.3	100	54.0697
-29.4	29.4	100	54.5994
-29.5	29.5	100	54.5994
-29.6	29.6	100	54.5994
-29.7	29.7	100	54.5994
-29.8	29.8	100	55.1899
-29.9	29.9	100	55.4139
-30.0	30.0	100	55.4896
-30.1	30.1	100	55.4896
-30.2	30.2	100	55.4896
-30.3	30.3	100	55.4896
-30.4	30.4	100	56.2374
-30.5	30.5	100	56.3798
-30.6	30.6	100	56.3798
-30.7	30.7	100	56.6766
-30.8	30.8	100	56.6766
-30.9	30.9	100	56.9733
-31.0	31.0	100	56.9733
-31.1	31.1	100	56.9733
-31.2	31.2	100	57.27
-31.3	31.3	100	57.6602
-31.4	31.4	100	58.457
-31.5	31.5	100	58.457
-31.6	31.6	100	58.457
-31.7	31.7	100	58.457
-31.8	31.8	100	58.457
-31.9	31.9	100	58.457
-32.0	32.0	100	58.457
-32.1	32.1	100	58.457
-32.2	32.2	100	58.4896
-32.3	32.3	100	59.0504
-32.4	32.4	100	59.0504
-32.5	32.5	100	59.0504
-32.6	32.6	100	59.0504
-32.7	32.7	100	59.0504
-32.8	32.8	100	59.6439
-32.9	32.9	100	59.9407
-33.0	33.0	100	59.9407
-33.1	33.1	100	59.9407
-33.2	33.2	100	60.1365
-33.3	33.3	100	60.2374
-33.4	33.4	100	60.2878
-33.5	33.5	100	60.5341
-33.6	33.6	100	60.5341
-33.7	33.7	100	60.5341
-33.8	33.8	100	60.8309
-33.9	33.9	100	60.8309
-34.0	34.0	100	61.0386
-34.1	34.1	100	61.1276
-34.2	34.2	100	61.4243
-34.3	34.3	100	61.4243
-34.4	34.4	100	61.4243
-34.5	34.5	100	61.7211
-34.6	34.6	100	62.0178
-34.7	34.7	100	62.0178
-34.8	34.8	100	62.0178
-34.9	34.9	100	62.1647
-35.0	35.0	100	62.3145
-35.1	35.1	100	62.3145
-35.2	35.2	100	62.6113
-35.3	35.3	100	62.908
-35.4	35.4	100	62.908
-35.5	35.5	100	62.908
-35.6	35.6	100	62.908
-35.7	35.7	100	63.0668
-35.8	35.8	100	63.2047
-35.9	35.9	100	63.2114
-36.0	36.0	100	63.5015
-36.1	36.1	100	63.5015
-36.2	36.2	100	63.5935
-36.3	36.3	100	64.095
-36.4	36.4	100	64.3383
-36.5	36.5	100	64.3917
-36.6	36.6	100	64.6884
-36.7	36.7	100	64.6884
-36.8	36.8	100	64.6884
-36.9	36.9	100	64.6884
-37.0	37.0	100	64.6884
-37.1	37.1	100	64.6884
-37.2	37.2	100	64.6884
-37.3	37.3	100	64.6884
-37.4	37.4	100	64.6884
-37.5	37.5	100	64.7255
-37.6	37.6	100	65.543
-37.7	37.7	100	65.5786
-37.8	37.8	100	65.8754
-37.9	37.9	100	66.1721
-38.0	38.0	100	66.1721
-38.1	38.1	100	66.1721
-38.2	38.2	100	66.4688
-38.3	38.3	100	66.4688
-38.4	38.4	100	66.4688
-38.5	38.5	100	66.9659
-38.6	38.6	100	67.0623
-38.7	38.7	100	67.0623
-38.8	38.8	100	67.0623
-38.9	38.9	100	67.5653
-39.0	39.0	100	67.9525
-39.1	39.1	100	68.546
-39.2	39.2	100	68.546
-39.3	39.3	100	68.546
-39.4	39.4	100	68.546
-39.5	39.5	100	68.6128
-39.6	39.6	100	69.1335
-39.7	39.7	100	69.1395
-39.8	39.8	100	69.4362
-39.9	39.9	100	69.4362
-40.0	40.0	100	69.4362
-40.1	40.1	100	69.4362
-40.2	40.2	100	69.4362
-40.3	40.3	100	69.5148
-40.4	40.4	100	69.7329
-40.5	40.5	100	69.7329
-40.6	40.6	100	69.7329
-40.7	40.7	100	69.7329
-40.8	40.8	100	69.7329
-40.9	40.9	100	69.7329
-41.0	41.0	100	69.7329
-41.1	41.1	100	69.7329
-41.2	41.2	100	70.0297
-41.3	41.3	100	70.0297
-41.4	41.4	100	70.3264
-41.5	41.5	100	70.3264
-41.6	41.6	100	70.6231
-41.7	41.7	100	70.8709
-41.8	41.8	100	71.2166
-41.9	41.9	100	71.2166
-42.0	42.0	100	71.5134
-42.1	42.1	100	71.5134
-42.2	42.2	100	71.5134
-42.3	42.3	100	71.5134
-42.4	42.4	100	71.5134
-42.5	42.5	100	71.5134
-42.6	42.6	100	71.5134
-42.7	42.7	100	71.8101
-42.8	42.8	100	71.8101
-42.9	42.9	100	72.0757
-43.0	43.0	100	72.1068
-43.1	43.1	100	72.1068
-43.2	43.2	100	72.1068
-43.3	43.3	100	72.1068
-43.4	43.4	100	72.4036
-43.5	43.5	100	72.4036
-43.6	43.6	100	72.457
-43.7	43.7	100	73.2745
-43.8	43.8	100	73.2938
-43.9	43.9	100	73.2938
-44.0	44.0	100	73.2938
-44.1	44.1	100	73.5772
-44.2	44.2	100	74.184
-44.3	44.3	100	74.184
-44.4	44.4	100	74.184
-44.5	44.5	100	74.184
-44.6	44.6	100	74.184
-44.7	44.7	100	74.184
-44.8	44.8	100	74.4807
-44.9	44.9	100	74.7774
-45.0	45.0	100	74.8887
-45.1	45.1	100	75.0742
-45.2	45.2	100	75.4481
-45.3	45.3	100	75.9644
-45.4	45.4	100	75.9644
-45.5	45.5	100	75.9644
-45.6	45.6	100	75.9644
-45.7	45.7	100	76.2611
-45.8	45.8	100	76.2611
-45.9	45.9	100	76.8546
-46.0	46.0	100	76.8546
-46.1	46.1	100	76.8546
-46.2	46.2	100	76.8546
-46.3	46.3	100	76.8546
-46.4	46.4	100	76.8546
-46.5	46.5	100	76.8546
-46.6	46.6	100	76.8546
-46.7	46.7	100	77.0282
-46.8	46.8	100	77.1513
-46.9	46.9	100	77.1513
-47.0	47.0	100	77.1513
-47.1	47.1	100	77.1513
-47.2	47.2	100	77.1513
-47.3	47.3	100	77.1513
-47.4	47.4	100	77.1513
-47.5	47.5	100	77.1513
-47.6	47.6	100	77.1513
-47.7	47.7	100	77.1513
-47.8	47.8	100	77.1513
-47.9	47.9	100	77.1513
-48.0	48.0	100	77.4481
-48.1	48.1	100	77.4481
-48.2	48.2	100	77.4481
-48.3	48.3	100	77.6454
-48.4	48.4	100	78.0415
-48.5	48.5	100	78.0415
-48.6	48.6	100	78.0415
-48.7	48.7	100	78.0415
-48.8	48.8	100	78.0415
-48.9	48.9	100	78.0415
-49.0	49.0	100	78.3383
-49.1	49.1	100	78.3383
-49.2	49.2	100	78.3383
-49.3	49.3	100	78.3383
-49.4	49.4	100	78.635
-49.5	49.5	100	78.9318
-49.6	49.6	100	78.9318
-49.7	49.7	100	78.9318
-49.8	49.8	100	78.9318
-49.9	49.9	100	78.9318
-50.0	50.0	100	79.0801
-50.1	50.1	100	79.3042
-50.2	50.2	100	79.5282
-50.3	50.3	100	79.822
-50.4	50.4	100	79.822
-50.5	50.5	100	80.1187
-50.6	50.6	100	80.1187
-50.7	50.7	100	80.1187
-50.8	50.8	100	80.1187
-50.9	50.9	100	80.4154
-51.0	51.0	100	80.4154
-51.1	51.1	100	80.4154
-51.2	51.2	100	80.4154
-51.3	51.3	100	80.4154
-51.4	51.4	100	80.4154
-51.5	51.5	100	80.4154
-51.6	51.6	100	80.4154
-51.7	51.7	100	80.5148
-51.8	51.8	100	81.3056
-51.9	51.9	100	81.3056
-52.0	52.0	100	81.3056
-52.1	52.1	100	81.3056
-52.2	52.2	100	81.3056
-52.3	52.3	100	81.3056
-52.4	52.4	100	81.3056
-52.5	52.5	100	81.3056
-52.6	52.6	100	81.3056
-52.7	52.7	100	81.3056
-52.8	52.8	100	81.3056
-52.9	52.9	100	81.3056
-53.0	53.0	100	81.3056
-53.1	53.1	100	81.3056
-53.2	53.2	100	81.3056
-53.3	53.3	100	81.3056
-53.4	53.4	100	81.6024
-53.5	53.5	100	81.8769
-53.6	53.6	100	82.1958
-53.7	53.7	100	82.1958
-53.8	53.8	100	82.2522
-53.9	53.9	100	82.4926
-54.0	54.0	100	82.7003
-54.1	54.1	100	82.9243
-54.2	54.2	100	83.0861
-54.3	54.3	100	83.3828
-54.4	54.4	100	83.6795
-54.5	54.5	100	83.6795
-54.6	54.6	100	83.6795
-54.7	54.7	100	83.9718
-54.8	54.8	100	84.273
-54.9	54.9	100	84.273
-55.0	55.0	100	84.273
-55.1	55.1	100	84.273
-55.2	55.2	100	84.273
-55.3	55.3	100	84.5697
-55.4	55.4	100	84.8665
-55.5	55.5	100	84.8739
-55.6	55.6	100	85.1632
-55.7	55.7	100	85.1632
-55.8	55.8	100	85.4599
-55.9	55.9	100	85.4733
-56.0	56.0	100	86.2908
-56.1	56.1	100	86.3501
-56.2	56.2	100	86.6469
-56.3	56.3	100	86.6662
-56.4	56.4	100	87.2404
-56.5	56.5	100	87.5371
-56.6	56.6	100	87.5371
-56.7	56.7	100	87.5371
-56.8	56.8	100	87.8338
-56.9	56.9	100	87.8338
-57.0	57.0	100	87.8338
-57.1	57.1	100	87.8338
-57.2	57.2	100	87.8338
-57.3	57.3	100	87.8338
-57.4	57.4	100	87.8338
-57.5	57.5	100	87.8338
-57.6	57.6	100	87.8338
-57.7	57.7	100	88.1306
-57.8	57.8	100	88.1306
-57.9	57.9	100	88.1306
-58.0	58.0	100	88.1306
-58.1	58.1	100	88.1306
-58.2	58.2	100	88.4273
-58.3	58.3	100	88.724
-58.4	58.4	100	88.724
-58.5	58.5	100	88.724
-58.6	58.6	100	89.0208
-58.7	58.7	100	89.3175
-58.8	58.8	100	89.6142
-58.9	58.9	100	89.8205
-59.0	59.0	100	89.911
-59.1	59.1	100	90.2077
-59.2	59.2	100	90.2077
-59.3	59.3	100	90.2077
-59.4	59.4	100	90.2077
-59.5	59.5	100	90.2745
-59.6	59.6	100	90.5045
-59.7	59.7	100	90.5045
-59.8	59.8	100	90.6499
-59.9	59.9	100	90.8012
-60.0	60.0	100	90.8012
-60.1	60.1	100	90.8012
-60.2	60.2	100	90.8012
-60.3	60.3	100	90.8012
-60.4	60.4	100	90.8012
-60.5	60.5	100	90.8012
-60.6	60.6	100	90.8012
-60.7	60.7	100	90.8858
-60.8	60.8	100	91.1098
-60.9	60.9	100	91.3947
-61.0	61.0	100	91.3947
-61.1	61.1	100	91.3947
-61.2	61.2	100	91.3947
-61.3	61.3	100	91.3947
-61.4	61.4	100	91.3947
-61.5	61.5	100	91.6914
-61.6	61.6	100	91.6914
-61.7	61.7	100	91.6914
-61.8	61.8	100	91.6914
-61.9	61.9	100	91.6914
-62.0	62.0	100	91.6914
-62.1	62.1	100	91.6914
-62.2	62.2	100	91.6914
-62.3	62.3	100	91.6914
-62.4	62.4	100	91.6914
-62.5	62.5	100	91.951
-62.6	62.6	100	91.9881
-62.7	62.7	100	92.2849
-62.8	62.8	100	92.2849
-62.9	62.9	100	92.2849
-63.0	63.0	100	92.2849
-63.1	63.1	100	92.2849
-63.2	63.2	100	92.3323
-63.3	63.3	100	92.5816
-63.4	63.4	100	92.5816
-63.5	63.5	100	92.8783
-63.6	63.6	100	92.8783
-63.7	63.7	100	92.8783
-63.8	63.8	100	92.8783
-63.9	63.9	100	92.8783
-64.0	64.0	100	92.8783
-64.1	64.1	100	92.8783
-64.2	64.2	100	92.8783
-64.3	64.3	100	92.8783
-64.4	64.4	100	92.8783
-64.5	64.5	100	93.1677
-64.6	64.6	100	93.4718
-64.7	64.7	100	93.4718
-64.8	64.8	100	93.4718
-64.9	64.9	100	93.4718
-65.0	65.0	100	93.7685
-65.1	65.1	100	93.7685
-65.2	65.2	100	93.7685
-65.3	65.3	100	93.7685
-65.4	65.4	100	93.7685
-65.5	65.5	100	93.7685
-65.6	65.6	100	93.8516
-65.7	65.7	100	94.0653
-65.8	65.8	100	94.0653
-65.9	65.9	100	94.0653
-66.0	66.0	100	94.0653
-66.1	66.1	100	94.0653
-66.2	66.2	100	94.0653
-66.3	66.3	100	94.0653
-66.4	66.4	100	94.0653
-66.5	66.5	100	94.0653
-66.6	66.6	100	94.0653
-66.7	66.7	100	94.0653
-66.8	66.8	100	94.0653
-66.9	66.9	100	94.0653
-67.0	67.0	100	94.0653
-67.1	67.1	100	94.0653
-67.2	67.2	100	94.0653
-67.3	67.3	100	94.0653
-67.4	67.4	100	94.0653
-67.5	67.5	100	94.0653
-67.6	67.6	100	94.0653
-67.7	67.7	100	94.362
-67.8	67.8	100	94.362
-67.9	67.9	100	94.362
-68.0	68.0	100	94.362
-68.1	68.1	100	94.362
-68.2	68.2	100	94.362
-68.3	68.3	100	94.362
-68.4	68.4	100	94.362
-68.5	68.5	100	94.6588
-68.6	68.6	100	94.6588
-68.7	68.7	100	94.9555
-68.8	68.8	100	94.9555
-68.9	68.9	100	94.9555
-69.0	69.0	100	94.9555
-69.1	69.1	100	94.9555
-69.2	69.2	100	95.092
-69.3	69.3	100	95.2522
-69.4	69.4	100	95.2522
-69.5	69.5	100	95.2522
-69.6	69.6	100	95.2522
-69.7	69.7	100	95.2522
-69.8	69.8	100	95.2522
-69.9	69.9	100	95.2522
-70.0	70.0	100	95.2522
-70.1	70.1	100	95.549
-70.2	70.2	100	95.549
-70.3	70.3	100	95.8457
-70.4	70.4	100	95.8457
-70.5	70.5	100	95.9273
-70.6	70.6	100	96.1424
-70.7	70.7	100	96.1424
-70.8	70.8	100	96.1424
-70.9	70.9	100	96.1424
-71.0	71.0	100	96.1424
-71.1	71.1	100	96.1424
-71.2	71.2	100	96.1424
-71.3	71.3	100	96.4392
-71.4	71.4	100	96.4392
-71.5	71.5	100	96.4392
-71.6	71.6	100	96.4392
-71.7	71.7	100	96.4392
-71.8	71.8	100	96.4392
-71.9	71.9	100	96.4392
-72.0	72.0	100	96.4392
-72.1	72.1	100	96.4392
-72.2	72.2	100	96.7685
-72.3	72.3	100	97.0326
-72.4	72.4	100	97.0326
-72.5	72.5	100	97.0326
-72.6	72.6	100	97.3294
-72.7	72.7	100	97.3294
-72.8	72.8	100	97.3294
-72.9	72.9	100	97.3294
-73.0	73.0	100	97.3294
-73.1	73.1	100	97.3294
-73.2	73.2	100	97.3294
-73.3	73.3	100	97.3294
-73.4	73.4	100	97.3294
-73.5	73.5	100	97.3294
-73.6	73.6	100	97.3294
-73.7	73.7	100	97.3294
-73.8	73.8	100	97.3294
-73.9	73.9	100	97.3294
-74.0	74.0	100	97.3294
-74.1	74.1	100	97.3294
-74.2	74.2	100	97.3294
-74.3	74.3	100	97.3294
-74.4	74.4	100	97.3294
-74.5	74.5	100	97.3294
-74.6	74.6	100	97.3294
-74.7	74.7	100	97.6217
-74.8	74.8	100	97.6261
-74.9	74.9	100	97.6261
-75.0	75.0	100	97.6261
-75.1	75.1	100	97.6261
-75.2	75.2	100	97.6261
-75.3	75.3	100	97.6261
-75.4	75.4	100	97.6261
-75.5	75.5	100	97.6261
-75.6	75.6	100	97.6261
-75.7	75.7	100	97.6261
-75.8	75.8	100	97.6261
-75.9	75.9	100	97.6261
-76.0	76.0	100	97.6261
-76.1	76.1	100	97.6261
-76.2	76.2	100	97.6261
-76.3	76.3	100	97.6261
-76.4	76.4	100	97.6261
-76.5	76.5	100	97.6261
-76.6	76.6	100	97.6261
-76.7	76.7	100	97.6261
-76.8	76.8	100	97.6261
-76.9	76.9	100	97.6261
-77.0	77.0	100	97.6261
-77.1	77.1	100	97.6573
-77.2	77.2	100	97.9228
-77.3	77.3	100	97.9228
-77.4	77.4	100	98.2196
-77.5	77.5	100	98.2196
-77.6	77.6	100	98.2196
-77.7	77.7	100	98.2196
-77.8	77.8	100	98.2196
-77.9	77.9	100	98.2196
-78.0	78.0	100	98.2196
-78.1	78.1	100	98.2196
-78.2	78.2	100	98.2196
-78.3	78.3	100	98.2196
-78.4	78.4	100	98.2196
-78.5	78.5	100	98.2196
-78.6	78.6	100	98.2196
-78.7	78.7	100	98.2196
-78.8	78.8	100	98.2196
-78.9	78.9	100	98.2196
-79.0	79.0	100	98.2196
-79.1	79.1	100	98.2196
-79.2	79.2	100	98.2196
-79.3	79.3	100	98.2196
-79.4	79.4	100	98.2196
-79.5	79.5	100	98.2196
-79.6	79.6	100	98.5104
-79.7	79.7	100	98.5163
-79.8	79.8	100	98.5163
-79.9	79.9	100	98.8131
-80.0	80.0	100	98.8131
-80.1	80.1	100	98.8131
-80.2	80.2	100	98.8131
-80.3	80.3	100	98.8131
-80.4	80.4	100	98.8131
-80.5	80.5	100	98.8131
-80.6	80.6	100	98.8131
-80.7	80.7	100	98.8131
-80.8	80.8	100	98.8131
-80.9	80.9	100	98.8131
-81.0	81.0	100	98.8131
-81.1	81.1	100	98.8131
-81.2	81.2	100	98.8131
-81.3	81.3	100	98.8131
-81.4	81.4	100	98.8131
-81.5	81.5	100	98.8131
-81.6	81.6	100	98.8131
-81.7	81.7	100	98.8131
-81.8	81.8	100	99.049
-81.9	81.9	100	99.1098
-82.0	82.0	100	99.1098
-82.1	82.1	100	99.1098
-82.2	82.2	100	99.1098
-82.3	82.3	100	99.1098
-82.4	82.4	100	99.1098
-82.5	82.5	100	99.1098
-82.6	82.6	100	99.1098
-82.7	82.7	100	99.1098
-82.8	82.8	100	99.1098
-82.9	82.9	100	99.1098
-83.0	83.0	100	99.1098
-83.1	83.1	100	99.1098
-83.2	83.2	100	99.1098
-83.3	83.3	100	99.1098
-83.4	83.4	100	99.1098
-83.5	83.5	100	99.1098
-83.6	83.6	100	99.1098
-83.7	83.7	100	99.1098
-83.8	83.8	100	99.1098
-83.9	83.9	100	99.1098
-84.0	84.0	100	99.1098
-84.1	84.1	100	99.1098
-84.2	84.2	100	99.1098
-84.3	84.3	100	99.1098
-84.4	84.4	100	99.1098
-84.5	84.5	100	99.1098
-84.6	84.6	100	99.1098
-84.7	84.7	100	99.1098
-84.8	84.8	100	99.1098
-84.9	84.9	100	99.1098
-85.0	85.0	100	99.1098
-85.1	85.1	100	99.1098
-85.2	85.2	100	99.1098
-85.3	85.3	100	99.1098
-85.4	85.4	100	99.1098
-85.5	85.5	100	99.1098
-85.6	85.6	100	99.1098
-85.7	85.7	100	99.1098
-85.8	85.8	100	99.1098
-85.9	85.9	100	99.2715
-86.0	86.0	100	99.4065
-86.1	86.1	100	99.4228
-86.2	86.2	100	99.7033
-86.3	86.3	100	99.7033
-86.4	86.4	100	99.7033
-86.5	86.5	100	99.7033
-86.6	86.6	100	99.7033
-86.7	86.7	100	99.7033
-86.8	86.8	100	99.7033
-86.9	86.9	100	99.7033
-87.0	87.0	100	99.7033
-87.1	87.1	100	99.7033
-87.2	87.2	100	99.7033
-87.3	87.3	100	99.7033
-87.4	87.4	100	99.7033
-87.5	87.5	100	99.7033
-87.6	87.6	100	99.7033
-87.7	87.7	100	99.7033
-87.8	87.8	100	99.7033
-87.9	87.9	100	99.7033
-88.0	88.0	100	99.7033
-88.1	88.1	100	99.7033
-88.2	88.2	100	99.7033
-88.3	88.3	100	99.7033
-88.4	88.4	100	99.7033
-88.5	88.5	100	99.7033
-88.6	88.6	100	99.7033
-88.7	88.7	100	99.7033
-88.8	88.8	100	99.7033
-88.9	88.9	100	99.7033
-89.0	89.0	100	99.7033
-89.1	89.1	100	99.7033
-89.2	89.2	100	99.7033
-89.3	89.3	100	99.7033
-89.4	89.4	100	99.7033
-89.5	89.5	100	99.7033
-89.6	89.6	100	99.7033
-89.7	89.7	100	99.7033
-89.8	89.8	100	99.7033
-89.9	89.9	100	99.7033
-90.0	90.0	100	99.7033
-90.1	90.1	100	99.7033
-90.2	90.2	100	99.7033
-90.3	90.3	100	99.7033
-90.4	90.4	100	99.7033
-90.5	90.5	100	99.7033
-90.6	90.6	100	99.7033
-90.7	90.7	100	99.7033
-90.8	90.8	100	99.7033
-90.9	90.9	100	99.7033
-91.0	91.0	100	99.7033
-91.1	91.1	100	99.7033
-91.2	91.2	100	99.7033
-91.3	91.3	100	99.7033
-91.4	91.4	100	99.7033
-91.5	91.5	100	99.7033
-91.6	91.6	100	99.7033
-91.7	91.7	100	99.7033
-91.8	91.8	100	99.7033
-91.9	91.9	100	99.7033
-92.0	92.0	100	99.7033
-92.1	92.1	100	99.7033
-92.2	92.2	100	99.7033
-92.3	92.3	100	99.7033
-92.4	92.4	100	99.7033
-92.5	92.5	100	99.7033
-92.6	92.6	100	99.7033
-92.7	92.7	100	99.7033
-92.8	92.8	100	99.7033
-92.9	92.9	100	99.7033
-93.0	93.0	100	99.7033
-93.1	93.1	100	99.7033
-93.2	93.2	100	99.7033
-93.3	93.3	100	99.7033
-93.4	93.4	100	99.7033
-93.5	93.5	100	99.7033
-93.6	93.6	100	99.7033
-93.7	93.7	100	99.7033
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	negative
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.302747	0.302747
-0.2	0.2	0.605495	0.605495
-0.3	0.3	0.908242	0.798352
-0.4	0.4	1.21099	1.0989
-0.5	0.5	1.51374	1.29396
-0.6	0.6	1.81648	1.5967
-0.7	0.7	2.11923	1.78956
-0.8	0.8	2.42198	2.08791
-0.9	0.9	2.72473	2.28516
-1.0	1.0	3.02747	2.47802
-1.1	1.1	3.33022	2.78077
-1.2	1.2	3.63297	3.08352
-1.3	1.3	3.93571	3.38626
-1.4	1.4	4.23846	3.40659
-1.5	1.5	4.54121	3.66209
-1.6	1.6	4.84396	3.85495
-1.7	1.7	5.1467	4.15769
-1.8	1.8	5.44945	4.46044
-1.9	1.9	5.7522	4.76319
-2.0	2.0	6.05495	4.95604
-2.1	2.1	6.35769	5.25879
-2.2	2.2	6.66044	5.56154
-2.3	2.3	6.96319	5.86429
-2.4	2.4	7.26593	6.15385
-2.5	2.5	7.56868	6.35989
-2.6	2.6	7.87143	6.48352
-2.7	2.7	8.17418	6.7456
-2.8	2.8	8.47692	7.04835
-2.9	2.9	8.77967	7.24121
-3.0	3.0	9.08242	7.32418
-3.1	3.1	9.38516	7.62692
-3.2	3.2	9.68791	7.91209
-3.3	3.3	9.99066	8.12253
-3.4	3.4	10.2934	8.42527
-3.5	3.5	10.5962	8.68132
-3.6	3.6	10.8989	8.81099
-3.7	3.7	11.2016	9.01099
-3.8	3.8	11.5044	9.30659
-3.9	3.9	11.8071	9.60934
-4.0	4.0	12.1099	9.89011
-4.1	4.1	12.4126	10
-4.2	4.2	12.7154	10.2978
-4.3	4.3	13.0181	10.6005
-4.4	4.4	13.3209	10.9033
-4.5	4.5	13.6236	11.206
-4.6	4.6	13.9264	11.3187
-4.7	4.7	14.2291	11.5918
-4.8	4.8	14.5319	11.7846
-4.9	4.9	14.8346	11.9775
-5.0	5.0	15.1374	12.2802
-5.1	5.1	15.4401	12.4731
-5.2	5.2	15.7429	12.5275
-5.3	5.3	16.0456	12.6374
-5.4	5.4	16.3484	12.8319
-5.5	5.5	16.6511	13.1346
-5.6	5.6	16.9538	13.3275
-5.7	5.7	17.2566	13.6302
-5.8	5.8	17.5593	13.7363
-5.9	5.9	17.8621	14.0159
-6.0	6.0	18.1648	14.2857
-6.1	6.1	18.4676	14.5115
-6.2	6.2	18.7703	14.7044
-6.3	6.3	19.0731	15.0071
-6.4	6.4	19.3758	15.2
-6.5	6.5	19.6786	15.4945
-6.6	6.6	19.9813	15.6956
-6.7	6.7	20.2841	15.8885
-6.8	6.8	20.5868	16.1912
-6.9	6.9	20.8896	16.494
-7.0	7.0	21.1923	16.7967
-7.1	7.1	21.4951	16.9231
-7.2	7.2	21.7978	16.9626
-7.3	7.3	22.1005	17.2527
-7.4	7.4	22.4033	17.4582
-7.5	7.5	22.706	17.6511
-7.6	7.6	23.0088	17.8022
-7.7	7.7	23.3115	17.9121
-7.8	7.8	23.6143	18.0099
-7.9	7.9	23.917	18.3126
-8.0	8.0	24.2198	18.5714
-8.1	8.1	24.5225	18.5714
-8.2	8.2	24.8253	18.6714
-8.3	8.3	25.128	18.6813
-8.4	8.4	25.4308	18.7275
-8.5	8.5	25.7335	19.0302
-8.6	8.6	26.0363	19.333
-8.7	8.7	26.339	19.5258
-8.8	8.8	26.6418	19.8286
-8.9	8.9	26.9445	20.1099
-9.0	9.0	27.2473	20.2198
-9.1	9.1	27.55	20.4071
-9.2	9.2	27.8527	20.5495
-9.3	9.3	28.1555	20.7692
-9.4	9.4	28.4582	20.8758
-9.5	9.5	28.761	21.0687
-9.6	9.6	29.0637	21.3714
-9.7	9.7	29.3665	21.5643
-9.8	9.8	29.6692	21.867
-9.9	9.9	29.972	22.0599
-10.0	10.0	30.2747	22.3626
-10.1	10.1	30.5775	22.6374
-10.2	10.2	30.8802	22.8582
-10.3	10.3	31.183	23.161
-10.4	10.4	31.4857	23.244
-10.5	10.5	31.7885	23.2967
-10.6	10.6	32.0912	23.5198
-10.7	10.7	32.394	23.7126
-10.8	10.8	32.6967	23.9055
-10.9	10.9	32.9995	24.1758
-11.0	11.0	33.3022	24.2857
-11.1	11.1	33.6049	24.4841
-11.2	11.2	33.9077	24.6769
-11.3	11.3	34.2104	24.7599
-11.4	11.4	34.5132	24.9451
-11.5	11.5	34.8159	25.1456
-11.6	11.6	35.1187	25.2747
-11.7	11.7	35.4214	25.3846
-11.8	11.8	35.7242	25.6143
-11.9	11.9	36.0269	25.8071
-12.0	12.0	36.3297	26
-12.1	12.1	36.6324	26.1929
-12.2	12.2	36.9352	26.2758
-12.3	12.3	37.2379	26.4687
-12.4	12.4	37.5407	26.7714
-12.5	12.5	37.8434	26.9231
-12.6	12.6	38.1462	26.9374
-12.7	12.7	38.4489	27.1302
-12.8	12.8	38.7516	27.3626
-12.9	12.9	39.0544	27.6258
-13.0	13.0	39.3571	27.8022
-13.1	13.1	39.6599	27.9016
-13.2	13.2	39.9626	28.2044
-13.3	13.3	40.2654	28.5071
-13.4	13.4	40.5681	28.8099
-13.5	13.5	40.8709	29.1126
-13.6	13.6	41.1736	29.1209
-13.7	13.7	41.4764	29.3885
-13.8	13.8	41.7791	29.5813
-13.9	13.9	42.0819	29.8841
-14.0	14.0	42.3846	29.967
-14.1	14.1	42.6874	30.2198
-14.2	14.2	42.9901	30.4396
-14.3	14.3	43.2929	30.6555
-14.4	14.4	43.5956	30.7692
-14.5	14.5	43.8984	30.989
-14.6	14.6	44.2011	31.1242
-14.7	14.7	44.5038	31.317
-14.8	14.8	44.8066	31.4286
-14.9	14.9	45.1093	31.5385
-15.0	15.0	45.4121	31.5659
-15.1	15.1	45.7148	31.8681
-15.2	15.2	46.0176	31.8681
-15.3	15.3	46.3203	31.978
-15.4	15.4	46.6231	32.2275
-15.5	15.5	46.9258	32.3104
-15.6	15.6	47.2286	32.6132
-15.7	15.7	47.5313	32.6374
-15.8	15.8	47.8341	32.7473
-15.9	15.9	48.1368	32.972
-16.0	16.0	48.4396	33.0769
-16.1	16.1	48.7423	33.2967
-16.2	16.2	49.0451	33.4407
-16.3	16.3	49.3478	33.6264
-16.4	16.4	49.6505	33.7363
-16.5	16.5	49.9533	33.956
-16.6	16.6	50.256	34.1022
-16.7	16.7	50.5588	34.2951
-16.8	16.8	50.8615	34.5978
-16.9	16.9	51.1643	34.8352
-17.0	17.0	51.467	34.8736
-17.1	17.1	51.7698	35.1764
-17.2	17.2	52.0725	35.2747
-17.3	17.3	52.3753	35.3846
-17.4	17.4	52.678	35.6451
-17.5	17.5	52.9808	35.9478
-17.6	17.6	53.2835	36.1538
-17.7	17.7	53.5863	36.2637
-17.8	17.8	53.889	36.3736
-17.9	17.9	54.1918	36.6093
-18.0	18.0	54.4945	36.8022
-18.1	18.1	54.7973	37.033
-18.2	18.2	55.1	37.2978
-18.3	18.3	55.4027	37.5824
-18.4	18.4	55.7055	37.7934
-18.5	18.5	56.0082	37.9121
-18.6	18.6	56.311	37.9121
-18.7	18.7	56.6137	38.022
-18.8	18.8	56.9165	38.022
-18.9	18.9	57.2192	38.2082
-19.0	19.0	57.522	38.4011
-19.1	19.1	57.8247	38.4615
-19.2	19.2	58.1275	38.6769
-19.3	19.3	58.4302	38.8698
-19.4	19.4	58.733	39.1725
-19.5	19.5	59.0357	39.4753
-19.6	19.6	59.3385	39.778
-19.7	19.7	59.6412	39.7802
-19.8	19.8	59.944	40.0538
-19.9	19.9	60.2467	40.1368
-20.0	20.0	60.5495	40.3297
-20.1	20.1	60.8522	40.5225
-20.2	20.2	61.1549	40.6593
-20.3	20.3	61.4577	40.6593
-20.4	20.4	61.7604	40.6593
-20.5	20.5	62.0632	40.7445
-20.6	20.6	62.3659	41.0473
-20.7	20.7	62.6687	41.2088
-20.8	20.8	62.9714	41.2088
-20.9	20.9	63.2742	41.406
-21.0	21.0	63.5769	41.6484
-21.1	21.1	63.8797	41.7918
-21.2	21.2	64.1824	41.8747
-21.3	21.3	64.4852	42.0676
-21.4	21.4	64.7879	42.3703
-21.5	21.5	65.0907	42.5275
-21.6	21.6	65.3934	42.6374
-21.7	21.7	65.6962	42.7291
-21.8	21.8	65.9989	42.922
-21.9	21.9	66.3016	43.0769
-22.0	22.0	66.6044	43.0879
-22.1	22.1	66.9071	43.2967
-22.2	22.2	67.2099	43.5835
-22.3	22.3	67.5126	43.7764
-22.4	22.4	67.8154	43.9692
-22.5	22.5	68.1181	44.0659
-22.6	22.6	68.4209	44.1758
-22.7	22.7	68.7236	44.2857
-22.8	22.8	69.0264	44.411
-22.9	22.9	69.3291	44.6154
-23.0	23.0	69.6319	44.7253
-23.1	23.1	69.9346	44.8352
-23.2	23.2	70.2374	45.0549
-23.3	23.3	70.5401	45.1648
-23.4	23.4	70.8429	45.2747
-23.5	23.5	71.1456	45.5412
-23.6	23.6	71.4484	45.6242
-23.7	23.7	71.7511	45.8242
-23.8	23.8	72.0538	46.0099
-23.9	23.9	72.3566	46.2637
-24.0	24.0	72.6593	46.3956
-24.1	24.1	72.9621	46.5885
-24.2	24.2	73.2648	46.7813
-24.3	24.3	73.5676	47.0841
-24.4	24.4	73.8703	47.2769
-24.5	24.5	74.1731	47.4725
-24.6	24.6	74.4758	47.5527
-24.7	24.7	74.7786	47.6357
-24.8	24.8	75.0813	47.8286
-24.9	24.9	75.3841	48.1313
-25.0	25.0	75.6868	48.1319
-25.1	25.1	75.9896	48.4071
-25.2	25.2	76.2923	48.6
-25.3	25.3	76.5951	48.9027
-25.4	25.4	76.8978	49.2055
-25.5	25.5	77.2005	49.2885
-25.6	25.6	77.5033	49.5912
-25.7	25.7	77.806	49.8901
-25.8	25.8	78.1088	50
-25.9	25.9	78.4115	50.1698
-26.0	26.0	78.7143	50.3297
-26.1	26.1	79.017	50.4456
-26.2	26.2	79.3198	50.6385
-26.3	26.3	79.6225	50.8791
-26.4	26.4	79.9253	50.9143
-26.5	26.5	80.228	51.1071
-26.6	26.6	80.5308	51.2088
-26.7	26.7	80.8335	51.4286
-26.8	26.8	81.1363	51.5385
-26.9	26.9	81.439	51.6588
-27.0	27.0	81.7418	51.9615
-27.1	27.1	82.0445	52.0879
-27.2	27.2	82.3473	52.2374
-27.3	27.3	82.65	52.5275
-27.4	27.4	82.9527	52.6374
-27.5	27.5	83.2555	52.7473
-27.6	27.6	83.5582	52.8571
-27.7	27.7	83.861	53.0918
-27.8	27.8	84.1637	53.2846
-27.9	27.9	84.4665	53.4066
-28.0	28.0	84.7692	53.4066
-28.1	28.1	85.072	53.5165
-28.2	28.2	85.3747	53.7264
-28.3	28.3	85.6775	53.8462
-28.4	28.4	85.9802	53.956
-28.5	28.5	86.283	53.956
-28.6	28.6	86.5857	54.1681
-28.7	28.7	86.8885	54.2511
-28.8	28.8	87.1912	54.444
-28.9	28.9	87.494	54.7253
-29.0	29.0	87.7967	54.8352
-29.1	29.1	88.0995	54.9126
-29.2	29.2	88.4022	54.9956
-29.3	29.3	88.7049	55.1648
-29.4	29.4	89.0077	55.2747
-29.5	29.5	89.3104	55.4945
-29.6	29.6	89.6132	55.4945
-29.7	29.7	89.9159	55.5203
-29.8	29.8	90.2187	55.8231
-29.9	29.9	90.5214	56.0159
-30.0	30.0	90.8242	56.1538
-30.1	30.1	91.1269	56.2918
-30.2	30.2	91.4297	56.4846
-30.3	30.3	91.7324	56.7033
-30.4	30.4	92.0352	56.8132
-30.5	30.5	92.3379	56.9533
-30.6	30.6	92.6407	57.1429
-30.7	30.7	92.9434	57.2291
-30.8	30.8	93.2462	57.4725
-30.9	30.9	93.5489	57.6148
-31.0	31.0	93.8516	57.6978
-31.1	31.1	94.1544	57.9121
-31.2	31.2	94.4571	57.9736
-31.3	31.3	94.7599	58.2764
-31.4	31.4	95.0626	58.4692
-31.5	31.5	95.3654	58.5714
-31.6	31.6	95.6681	58.6352
-31.7	31.7	95.9709	58.828
-31.8	31.8	96.2736	58.911
-31.9	31.9	96.5764	59.011
-32.0	32.0	96.8791	59.2308
-32.1	32.1	97.1819	59.2698
-32.2	32.2	97.4846	59.3407
-32.3	32.3	97.7874	59.4357
-32.4	32.4	98.0901	59.5604
-32.5	32.5	98.3929	59.7115
-32.6	32.6	98.6956	59.8901
-32.7	32.7	98.9984	59.8901
-32.8	32.8	99.3011	59.8901
-32.9	32.9	99.6038	60.0434
-33.0	33.0	99.9066	60.3297
-33.1	33.1	100	60.4291
-33.2	33.2	100	60.5121
-33.3	33.3	100	60.6593
-33.4	33.4	100	60.7879
-33.5	33.5	100	60.9808
-33.6	33.6	100	60.989
-33.7	33.7	100	60.989
-33.8	33.8	100	61.1198
-33.9	33.9	100	61.3187
-34.0	34.0	100	61.3956
-34.1	34.1	100	61.5885
-34.2	34.2	100	61.7582
-34.3	34.3	100	61.9742
-34.4	34.4	100	62.0879
-34.5	34.5	100	62.3077
-34.6	34.6	100	62.3077
-34.7	34.7	100	62.4176
-34.8	34.8	100	62.4176
-34.9	34.9	100	62.6374
-35.0	35.0	100	62.6374
-35.1	35.1	100	62.7478
-35.2	35.2	100	62.9407
-35.3	35.3	100	63.0236
-35.4	35.4	100	63.3264
-35.5	35.5	100	63.5192
-35.6	35.6	100	63.6264
-35.7	35.7	100	63.7951
-35.8	35.8	100	64.0659
-35.9	35.9	100	64.1758
-36.0	36.0	100	64.1758
-36.1	36.1	100	64.3956
-36.2	36.2	100	64.4297
-36.3	36.3	100	64.6154
-36.4	36.4	100	64.8154
-36.5	36.5	100	64.8352
-36.6	36.6	100	64.9813
-36.7	36.7	100	65.0643
-36.8	36.8	100	65.2747
-36.9	36.9	100	65.3846
-37.0	37.0	100	65.4945
-37.1	37.1	100	65.7143
-37.2	37.2	100	65.7143
-37.3	37.3	100	65.8242
-37.4	37.4	100	65.9747
-37.5	37.5	100	66.1676
-37.6	37.6	100	66.3604
-37.7	37.7	100	66.4835
-37.8	37.8	100	66.4835
-37.9	37.9	100	66.7033
-38.0	38.0	100	66.7033
-38.1	38.1	100	66.9231
-38.2	38.2	100	67.078
-38.3	38.3	100	67.161
-38.4	38.4	100	67.3538
-38.5	38.5	100	67.4725
-38.6	38.6	100	67.5198
-38.7	38.7	100	67.6923
-38.8	38.8	100	67.8022
-38.9	38.9	100	67.9885
-39.0	39.0	100	68.2418
-39.1	39.1	100	68.2418
-39.2	39.2	100	68.3473
-39.3	39.3	100	68.4302
-39.4	39.4	100	68.5132
-39.5	39.5	100	68.5962
-39.6	39.6	100	68.6813
-39.7	39.7	100	68.7621
-39.8	39.8	100	68.7912
-39.9	39.9	100	68.8181
-40.0	40.0	100	69.011
-40.1	40.1	100	69.2038
-40.2	40.2	100	69.2308
-40.3	40.3	100	69.4505
-40.4	40.4	100	69.4505
-40.5	40.5	100	69.6456
-40.6	40.6	100	69.8385
-40.7	40.7	100	70.1099
-40.8	40.8	100	70.3341
-40.9	40.9	100	70.4396
-41.0	41.0	100	70.5
-41.1	41.1	100	70.6593
-41.2	41.2	100	70.8857
-41.3	41.3	100	71.1885
-41.4	41.4	100	71.3187
-41.5	41.5	100	71.4286
-41.6	41.6	100	71.5385
-41.7	41.7	100	71.6302
-41.8	41.8	100	71.7582
-41.9	41.9	100	71.906
-42.0	42.0	100	72.0989
-42.1	42.1	100	72.2918
-42.2	42.2	100	72.4176
-42.3	42.3	100	72.5676
-42.4	42.4	100	72.6374
-42.5	42.5	100	72.7335
-42.6	42.6	100	72.9264
-42.7	42.7	100	73.0769
-42.8	42.8	100	73.2022
-42.9	42.9	100	73.2967
-43.0	43.0	100	73.478
-43.1	43.1	100	73.561
-43.2	43.2	100	73.6264
-43.3	43.3	100	73.7363
-43.4	43.4	100	73.956
-43.5	43.5	100	73.956
-43.6	43.6	100	73.956
-43.7	43.7	100	73.956
-43.8	43.8	100	74.0659
-43.9	43.9	100	74.0659
-44.0	44.0	100	74.0659
-44.1	44.1	100	74.2808
-44.2	44.2	100	74.5055
-44.3	44.3	100	74.6154
-44.4	44.4	100	74.7495
-44.5	44.5	100	74.9451
-44.6	44.6	100	75.1352
-44.7	44.7	100	75.2747
-44.8	44.8	100	75.2747
-44.9	44.9	100	75.2747
-45.0	45.0	100	75.3571
-45.1	45.1	100	75.3846
-45.2	45.2	100	75.5231
-45.3	45.3	100	75.6044
-45.4	45.4	100	75.7989
-45.5	45.5	100	75.8242
-45.6	45.6	100	75.9341
-45.7	45.7	100	75.9341
-45.8	45.8	100	75.9341
-45.9	45.9	100	76.1538
-46.0	46.0	100	76.3736
-46.1	46.1	100	76.3736
-46.2	46.2	100	76.3736
-46.3	46.3	100	76.4835
-46.4	46.4	100	76.4835
-46.5	46.5	100	76.6016
-46.6	46.6	100	76.7033
-46.7	46.7	100	76.8132
-46.8	46.8	100	76.9231
-46.9	46.9	100	77.033
-47.0	47.0	100	77.1429
-47.1	47.1	100	77.2093
-47.2	47.2	100	77.2923
-47.3	47.3	100	77.5951
-47.4	47.4	100	77.7879
-47.5	47.5	100	78.022
-47.6	47.6	100	78.2418
-47.7	47.7	100	78.2566
-47.8	47.8	100	78.5593
-47.9	47.9	100	78.6813
-48.0	48.0	100	78.7912
-48.1	48.1	100	78.7912
-48.2	48.2	100	78.7912
-48.3	48.3	100	78.7912
-48.4	48.4	100	78.8374
-48.5	48.5	100	78.9011
-48.6	48.6	100	78.9011
-48.7	48.7	100	78.9011
-48.8	48.8	100	78.9011
-48.9	48.9	100	78.9011
-49.0	49.0	100	79.0055
-49.1	49.1	100	79.1209
-49.2	49.2	100	79.3912
-49.3	49.3	100	79.4505
-49.4	49.4	100	79.4505
-49.5	49.5	100	79.5604
-49.6	49.6	100	79.5604
-49.7	49.7	100	79.6703
-49.8	49.8	100	79.6703
-49.9	49.9	100	79.7802
-50.0	50.0	100	79.8901
-50.1	50.1	100	80.1099
-50.2	50.2	100	80.3297
-50.3	50.3	100	80.5236
-50.4	50.4	100	80.7165
-50.5	50.5	100	80.989
-50.6	50.6	100	81.0989
-50.7	50.7	100	81.0989
-50.8	50.8	100	81.2088
-50.9	50.9	100	81.2412
-51.0	51.0	100	81.5385
-51.1	51.1	100	81.6484
-51.2	51.2	100	81.6484
-51.3	51.3	100	81.6484
-51.4	51.4	100	81.7582
-51.5	51.5	100	81.8681
-51.6	51.6	100	81.978
-51.7	51.7	100	81.978
-51.8	51.8	100	81.9879
-51.9	51.9	100	82.1978
-52.0	52.0	100	82.3736
-52.1	52.1	100	82.5275
-52.2	52.2	100	82.6374
-52.3	52.3	100	82.7324
-52.4	52.4	100	82.9253
-52.5	52.5	100	83.0769
-52.6	52.6	100	83.0769
-52.7	52.7	100	83.1868
-52.8	52.8	100	83.1868
-52.9	52.9	100	83.45
-53.0	53.0	100	83.6264
-53.1	53.1	100	83.6264
-53.2	53.2	100	83.7363
-53.3	53.3	100	83.8918
-53.4	53.4	100	83.956
-53.5	53.5	100	83.956
-53.6	53.6	100	84.0308
-53.7	53.7	100	84.0659
-53.8	53.8	100	84.0868
-53.9	53.9	100	84.1758
-54.0	54.0	100	84.1758
-54.1	54.1	100	84.1758
-54.2	54.2	100	84.1989
-54.3	54.3	100	84.2857
-54.4	54.4	100	84.3956
-54.5	54.5	100	84.3956
-54.6	54.6	100	84.4209
-54.7	54.7	100	84.6154
-54.8	54.8	100	84.6154
-54.9	54.9	100	84.6154
-55.0	55.0	100	84.7253
-55.1	55.1	100	84.7253
-55.2	55.2	100	84.8352
-55.3	55.3	100	84.8352
-55.4	55.4	100	84.9451
-55.5	55.5	100	84.9451
-55.6	55.6	100	85.1407
-55.7	55.7	100	85.3335
-55.8	55.8	100	85.4945
-55.9	55.9	100	85.4945
-56.0	56.0	100	85.6923
-56.1	56.1	100	85.8242
-56.2	56.2	100	85.8242
-56.3	56.3	100	85.9341
-56.4	56.4	100	86.0242
-56.5	56.5	100	86.044
-56.6	56.6	100	86.0802
-56.7	56.7	100	86.2731
-56.8	56.8	100	86.3736
-56.9	56.9	100	86.439
-57.0	57.0	100	86.4835
-57.1	57.1	100	86.4951
-57.2	57.2	100	86.6879
-57.3	57.3	100	86.7709
-57.4	57.4	100	86.9231
-57.5	57.5	100	87.033
-57.6	57.6	100	87.033
-57.7	57.7	100	87.1429
-57.8	57.8	100	87.1429
-57.9	57.9	100	87.1429
-58.0	58.0	100	87.1429
-58.1	58.1	100	87.2148
-58.2	58.2	100	87.3626
-58.3	58.3	100	87.3626
-58.4	58.4	100	87.3626
-58.5	58.5	100	87.3626
-58.6	58.6	100	87.4725
-58.7	58.7	100	87.4725
-58.8	58.8	100	87.5758
-58.9	58.9	100	87.5824
-59.0	59.0	100	87.5824
-59.1	59.1	100	87.6923
-59.2	59.2	100	87.6923
-59.3	59.3	100	87.6923
-59.4	59.4	100	87.8538
-59.5	59.5	100	87.9121
-59.6	59.6	100	88.0198
-59.7	59.7	100	88.1319
-59.8	59.8	100	88.2956
-59.9	59.9	100	88.3516
-60.0	60.0	100	88.3516
-60.1	60.1	100	88.4615
-60.2	60.2	100	88.5714
-60.3	60.3	100	88.6005
-60.4	60.4	100	88.7934
-60.5	60.5	100	88.9011
-60.6	60.6	100	89.011
-60.7	60.7	100	89.011
-60.8	60.8	100	89.1209
-60.9	60.9	100	89.1209
-61.0	61.0	100	89.1209
-61.1	61.1	100	89.2308
-61.2	61.2	100	89.2308
-61.3	61.3	100	89.2755
-61.4	61.4	100	89.3407
-61.5	61.5	100	89.3764
-61.6	61.6	100	89.4505
-61.7	61.7	100	89.4505
-61.8	61.8	100	89.4505
-61.9	61.9	100	89.4505
-62.0	62.0	100	89.4505
-62.1	62.1	100	89.4505
-62.2	62.2	100	89.6275
-62.3	62.3	100	89.7802
-62.4	62.4	100	89.7802
-62.5	62.5	100	89.8901
-62.6	62.6	100	89.8901
-62.7	62.7	100	89.8901
-62.8	62.8	100	90.0154
-62.9	62.9	100	90.1099
-63.0	63.0	100	90.1813
-63.1	63.1	100	90.2198
-63.2	63.2	100	90.3473
-63.3	63.3	100	90.4396
-63.4	63.4	100	90.4396
-63.5	63.5	100	90.5495
-63.6	63.6	100	90.5692
-63.7	63.7	100	90.6593
-63.8	63.8	100	90.6593
-63.9	63.9	100	90.8181
-64.0	64.0	100	90.989
-64.1	64.1	100	90.989
-64.2	64.2	100	91.0989
-64.3	64.3	100	91.2088
-64.4	64.4	100	91.2088
-64.5	64.5	100	91.2088
-64.6	64.6	100	91.2088
-64.7	64.7	100	91.2088
-64.8	64.8	100	91.2088
-64.9	64.9	100	91.2088
-65.0	65.0	100	91.2088
-65.1	65.1	100	91.2088
-65.2	65.2	100	91.2088
-65.3	65.3	100	91.2088
-65.4	65.4	100	91.3187
-65.5	65.5	100	91.3764
-65.6	65.6	100	91.5385
-65.7	65.7	100	91.5385
-65.8	65.8	100	91.5385
-65.9	65.9	100	91.5385
-66.0	66.0	100	91.5385
-66.1	66.1	100	91.5385
-66.2	66.2	100	91.6275
-66.3	66.3	100	91.8681
-66.4	66.4	100	91.8681
-66.5	66.5	100	91.8681
-66.6	66.6	100	91.8681
-66.7	66.7	100	91.8681
-66.8	66.8	100	91.8681
-66.9	66.9	100	91.8786
-67.0	67.0	100	92.0714
-67.1	67.1	100	92.0879
-67.2	67.2	100	92.0879
-67.3	67.3	100	92.2104
-67.4	67.4	100	92.4176
-67.5	67.5	100	92.5275
-67.6	67.6	100	92.5275
-67.7	67.7	100	92.5275
-67.8	67.8	100	92.7352
-67.9	67.9	100	92.967
-68.0	68.0	100	93.0769
-68.1	68.1	100	93.1868
-68.2	68.2	100	93.1868
-68.3	68.3	100	93.2967
-68.4	68.4	100	93.3429
-68.5	68.5	100	93.5165
-68.6	68.6	100	93.5165
-68.7	68.7	100	93.5918
-68.8	68.8	100	93.6264
-68.9	68.9	100	93.7363
-69.0	69.0	100	93.7363
-69.1	69.1	100	93.7363
-69.2	69.2	100	93.7363
-69.3	69.3	100	93.7363
-69.4	69.4	100	93.8429
-69.5	69.5	100	93.9258
-69.6	69.6	100	94.0659
-69.7	69.7	100	94.1758
-69.8	69.8	100	94.2857
-69.9	69.9	100	94.3956
-70.0	70.0	100	94.5055
-70.1	70.1	100	94.5055
-70.2	70.2	100	94.5055
-70.3	70.3	100	94.5055
-70.4	70.4	100	94.5055
-70.5	70.5	100	94.6154
-70.6	70.6	100	94.6154
-70.7	70.7	100	94.7253
-70.8	70.8	100	94.7253
-70.9	70.9	100	94.8352
-71.0	71.0	100	94.9451
-71.1	71.1	100	94.9451
-71.2	71.2	100	94.9451
-71.3	71.3	100	94.9451
-71.4	71.4	100	94.9527
-71.5	71.5	100	95.0549
-71.6	71.6	100	95.1187
-71.7	71.7	100	95.2747
-71.8	71.8	100	95.2747
-71.9	71.9	100	95.2747
-72.0	72.0	100	95.2747
-72.1	72.1	100	95.3846
-72.2	72.2	100	95.3846
-72.3	72.3	100	95.3846
-72.4	72.4	100	95.3846
-72.5	72.5	100	95.3846
-72.6	72.6	100	95.3846
-72.7	72.7	100	95.3846
-72.8	72.8	100	95.4945
-72.9	72.9	100	95.6478
-73.0	73.0	100	95.7143
-73.1	73.1	100	95.7143
-73.2	73.2	100	95.8242
-73.3	73.3	100	95.8242
-73.4	73.4	100	95.8242
-73.5	73.5	100	95.8242
-73.6	73.6	100	95.8242
-73.7	73.7	100	95.8242
-73.8	73.8	100	95.9341
-73.9	73.9	100	95.9341
-74.0	74.0	100	95.9341
-74.1	74.1	100	95.9341
-74.2	74.2	100	95.9571
-74.3	74.3	100	96.044
-74.4	74.4	100	96.044
-74.5	74.5	100	96.044
-74.6	74.6	100	96.044
-74.7	74.7	100	96.1522
-74.8	74.8	100	96.1538
-74.9	74.9	100	96.2082
-75.0	75.0	100	96.2637
-75.1	75.1	100	96.2643
-75.2	75.2	100	96.3736
-75.3	75.3	100	96.3736
-75.4	75.4	100	96.3736
-75.5	75.5	100	96.3736
-75.6	75.6	100	96.3736
-75.7	75.7	100	96.3736
-75.8	75.8	100	96.3736
-75.9	75.9	100	96.3736
-76.0	76.0	100	96.3736
-76.1	76.1	100	96.3736
-76.2	76.2	100	96.3736
-76.3	76.3	100	96.3736
-76.4	76.4	100	96.3736
-76.5	76.5	100	96.3736
-76.6	76.6	100	96.3736
-76.7	76.7	100	96.3736
-76.8	76.8	100	96.3736
-76.9	76.9	100	96.3736
-77.0	77.0	100	96.3736
-77.1	77.1	100	96.3852
-77.2	77.2	100	96.4835
-77.3	77.3	100	96.4835
-77.4	77.4	100	96.4835
-77.5	77.5	100	96.4835
-77.6	77.6	100	96.4835
-77.7	77.7	100	96.4835
-77.8	77.8	100	96.4835
-77.9	77.9	100	96.4835
-78.0	78.0	100	96.4835
-78.1	78.1	100	96.4835
-78.2	78.2	100	96.4835
-78.3	78.3	100	96.6115
-78.4	78.4	100	96.7033
-78.5	78.5	100	96.7033
-78.6	78.6	100	96.7033
-78.7	78.7	100	96.8132
-78.8	78.8	100	96.8132
-78.9	78.9	100	96.8132
-79.0	79.0	100	96.8132
-79.1	79.1	100	96.8132
-79.2	79.2	100	96.8132
-79.3	79.3	100	96.8132
-79.4	79.4	100	96.9231
-79.5	79.5	100	96.9231
-79.6	79.6	100	96.9231
-79.7	79.7	100	96.9231
-79.8	79.8	100	96.9231
-79.9	79.9	100	96.9231
-80.0	80.0	100	96.9231
-80.1	80.1	100	97.006
-80.2	80.2	100	97.089
-80.3	80.3	100	97.1429
-80.4	80.4	100	97.1429
-80.5	80.5	100	97.228
-80.6	80.6	100	97.311
-80.7	80.7	100	97.3626
-80.8	80.8	100	97.3626
-80.9	80.9	100	97.3626
-81.0	81.0	100	97.3626
-81.1	81.1	100	97.3626
-81.2	81.2	100	97.4725
-81.3	81.3	100	97.4725
-81.4	81.4	100	97.5824
-81.5	81.5	100	97.5824
-81.6	81.6	100	97.5824
-81.7	81.7	100	97.5824
-81.8	81.8	100	97.5824
-81.9	81.9	100	97.6923
-82.0	82.0	100	97.6923
-82.1	82.1	100	97.6923
-82.2	82.2	100	97.6923
-82.3	82.3	100	97.8022
-82.4	82.4	100	97.8154
-82.5	82.5	100	97.9121
-82.6	82.6	100	97.9121
-82.7	82.7	100	97.9544
-82.8	82.8	100	98.022
-82.9	82.9	100	98.022
-83.0	83.0	100	98.022
-83.1	83.1	100	98.022
-83.2	83.2	100	98.022
-83.3	83.3	100	98.022
-83.4	83.4	100	98.022
-83.5	83.5	100	98.022
-83.6	83.6	100	98.1319
-83.7	83.7	100	98.2418
-83.8	83.8	100	98.3516
-83.9	83.9	100	98.3516
-84.0	84.0	100	98.3516
-84.1	84.1	100	98.3516
-84.2	84.2	100	98.3516
-84.3	84.3	100	98.3516
-84.4	84.4	100	98.3516
-84.5	84.5	100	98.3516
-84.6	84.6	100	98.3516
-84.7	84.7	100	98.3516
-84.8	84.8	100	98.3516
-84.9	84.9	100	98.3516
-85.0	85.0	100	98.4615
-85.1	85.1	100	98.4615
-85.2	85.2	100	98.4615
-85.3	85.3	100	98.5714
-85.4	85.4	100	98.5714
-85.5	85.5	100	98.6291
-85.6	85.6	100	98.6813
-85.7	85.7	100	98.6813
-85.8	85.8	100	98.6813
-85.9	85.9	100	98.6813
-86.0	86.0	100	98.7143
-86.1	86.1	100	98.7912
-86.2	86.2	100	98.9011
-86.3	86.3	100	98.9011
-86.4	86.4	100	98.9011
-86.5	86.5	100	98.9011
-86.6	86.6	100	98.9011
-86.7	86.7	100	98.9011
-86.8	86.8	100	98.9011
-86.9	86.9	100	98.9011
-87.0	87.0	100	98.9011
-87.1	87.1	100	98.9011
-87.2	87.2	100	98.9011
-87.3	87.3	100	98.9011
-87.4	87.4	100	98.9967
-87.5	87.5	100	99.011
-87.6	87.6	100	99.011
-87.7	87.7	100	99.011
-87.8	87.8	100	99.011
-87.9	87.9	100	99.011
-88.0	88.0	100	99.011
-88.1	88.1	100	99.011
-88.2	88.2	100	99.011
-88.3	88.3	100	99.0841
-88.4	88.4	100	99.1209
-88.5	88.5	100	99.1209
-88.6	88.6	100	99.1209
-88.7	88.7	100	99.1209
-88.8	88.8	100	99.1209
-88.9	88.9	100	99.1209
-89.0	89.0	100	99.1209
-89.1	89.1	100	99.1209
-89.2	89.2	100	99.1209
-89.3	89.3	100	99.1209
-89.4	89.4	100	99.2275
-89.5	89.5	100	99.2308
-89.6	89.6	100	99.2308
-89.7	89.7	100	99.2308
-89.8	89.8	100	99.2308
-89.9	89.9	100	99.2308
-90.0	90.0	100	99.2308
-90.1	90.1	100	99.2308
-90.2	90.2	100	99.2308
-90.3	90.3	100	99.2308
-90.4	90.4	100	99.2308
-90.5	90.5	100	99.2308
-90.6	90.6	100	99.2308
-90.7	90.7	100	99.2308
-90.8	90.8	100	99.2308
-90.9	90.9	100	99.2308
-91.0	91.0	100	99.2308
-91.1	91.1	100	99.2308
-91.2	91.2	100	99.2308
-91.3	91.3	100	99.2308
-91.4	91.4	100	99.2308
-91.5	91.5	100	99.2308
-91.6	91.6	100	99.2308
-91.7	91.7	100	99.3407
-91.8	91.8	100	99.3407
-91.9	91.9	100	99.3407
-92.0	92.0	100	99.3407
-92.1	92.1	100	99.3407
-92.2	92.2	100	99.3407
-92.3	92.3	100	99.3407
-92.4	92.4	100	99.3407
-92.5	92.5	100	99.3407
-92.6	92.6	100	99.3407
-92.7	92.7	100	99.3407
-92.8	92.8	100	99.3407
-92.9	92.9	100	99.3407
-93.0	93.0	100	99.3407
-93.1	93.1	100	99.3407
-93.2	93.2	100	99.3407
-93.3	93.3	100	99.3407
-93.4	93.4	100	99.3407
-93.5	93.5	100	99.3407
-93.6	93.6	100	99.4154
-93.7	93.7	100	99.4505
-93.8	93.8	100	99.4505
-93.9	93.9	100	99.4505
-94.0	94.0	100	99.5604
-94.1	94.1	100	99.5604
-94.2	94.2	100	99.5604
-94.3	94.3	100	99.5604
-94.4	94.4	100	99.5604
-94.5	94.5	100	99.5604
-94.6	94.6	100	99.5604
-94.7	94.7	100	99.6703
-94.8	94.8	100	99.6703
-94.9	94.9	100	99.6703
-95.0	95.0	100	99.6703
-95.1	95.1	100	99.6703
-95.2	95.2	100	99.6703
-95.3	95.3	100	99.6703
-95.4	95.4	100	99.6703
-95.5	95.5	100	99.6703
-95.6	95.6	100	99.6703
-95.7	95.7	100	99.7802
-95.8	95.8	100	99.7802
-95.9	95.9	100	99.7802
-96.0	96.0	100	99.7802
-96.1	96.1	100	99.7802
-96.2	96.2	100	99.7802
-96.3	96.3	100	99.7802
-96.4	96.4	100	99.7802
-96.5	96.5	100	99.7802
-96.6	96.6	100	99.7802
-96.7	96.7	100	99.7802
-96.8	96.8	100	99.7802
-96.9	96.9	100	99.8456
-97.0	97.0	100	99.8901
-97.1	97.1	100	99.8901
-97.2	97.2	100	99.8901
-97.3	97.3	100	99.8901
-97.4	97.4	100	99.8901
-97.5	97.5	100	99.8901
-97.6	97.6	100	99.8901
-97.7	97.7	100	99.8901
-97.8	97.8	100	99.8901
-97.9	97.9	100	99.8901
-98.0	98.0	100	99.8901
-98.1	98.1	100	99.8901
-98.2	98.2	100	99.8901
-98.3	98.3	100	99.8901
-98.4	98.4	100	99.8901
-98.5	98.5	100	99.8901
-98.6	98.6	100	99.8901
-98.7	98.7	100	99.8901
-98.8	98.8	100	99.8901
-98.9	98.9	100	99.8901
-99.0	99.0	100	99.8901
-99.1	99.1	100	99.8901
-99.2	99.2	100	99.8901
-99.3	99.3	100	99.9687
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	objective
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.236887	0.236887
-0.2	0.2	0.473775	0.473775
-0.3	0.3	0.710662	0.710662
-0.4	0.4	0.947549	0.947549
-0.5	0.5	1.18444	1.18444
-0.6	0.6	1.42132	1.42132
-0.7	0.7	1.65821	1.65821
-0.8	0.8	1.8951	1.8951
-0.9	0.9	2.13199	2.13199
-1.0	1.0	2.36887	2.28289
-1.1	1.1	2.60576	2.51978
-1.2	1.2	2.84265	2.75666
-1.3	1.3	3.07954	2.99355
-1.4	1.4	3.31642	3.23044
-1.5	1.5	3.55331	3.46733
-1.6	1.6	3.7902	3.70421
-1.7	1.7	4.02709	3.9411
-1.8	1.8	4.26397	4.17799
-1.9	1.9	4.50086	4.41488
-2.0	2.0	4.73775	4.65176
-2.1	2.1	4.97463	4.88865
-2.2	2.2	5.21152	5.12554
-2.3	2.3	5.44841	5.33104
-2.4	2.4	5.6853	5.51333
-2.5	2.5	5.92218	5.67498
-2.6	2.6	6.15907	5.90112
-2.7	2.7	6.39596	6.13801
-2.8	2.8	6.63285	6.37489
-2.9	2.9	6.86973	6.61178
-3.0	3.0	7.10662	6.84867
-3.1	3.1	7.34351	7.08555
-3.2	3.2	7.5804	7.32244
-3.3	3.3	7.81728	7.55933
-3.4	3.4	8.05417	7.79622
-3.5	3.5	8.29106	8.0331
-3.6	3.6	8.52794	8.26999
-3.7	3.7	8.76483	8.50688
-3.8	3.8	9.00172	8.74377
-3.9	3.9	9.23861	8.98065
-4.0	4.0	9.47549	9.21754
-4.1	4.1	9.71238	9.45443
-4.2	4.2	9.94927	9.69132
-4.3	4.3	10.1862	9.88822
-4.4	4.4	10.423	10.0791
-4.5	4.5	10.6599	10.316
-4.6	4.6	10.8968	10.5529
-4.7	4.7	11.1337	10.7898
-4.8	4.8	11.3706	11.006
-4.9	4.9	11.6075	11.0916
-5.0	5.0	11.8444	11.3285
-5.1	5.1	12.0813	11.5653
-5.2	5.2	12.3181	11.8022
-5.3	5.3	12.555	12.0391
-5.4	5.4	12.7919	12.276
-5.5	5.5	13.0288	12.5129
-5.6	5.6	13.2657	12.7498
-5.7	5.7	13.5026	12.9867
-5.8	5.8	13.7395	13.1556
-5.9	5.9	13.9764	13.3745
-6.0	6.0	14.2132	13.6113
-6.1	6.1	14.4501	13.8482
-6.2	6.2	14.687	14.0851
-6.3	6.3	14.9239	14.322
-6.4	6.4	15.1608	14.5589
-6.5	6.5	15.3977	14.7958
-6.6	6.6	15.6346	15.0327
-6.7	6.7	15.8715	15.2696
-6.8	6.8	16.1083	15.5064
-6.9	6.9	16.3452	15.6574
-7.0	7.0	16.5821	15.8942
-7.1	7.1	16.819	16.1311
-7.2	7.2	17.0559	16.3371
-7.3	7.3	17.2928	16.5189
-7.4	7.4	17.5297	16.7558
-7.5	7.5	17.7666	16.9927
-7.6	7.6	18.0034	17.2296
-7.7	7.7	18.2403	17.4665
-7.8	7.8	18.4772	17.7034
-7.9	7.9	18.7141	17.9402
-8.0	8.0	18.951	18.1771
-8.1	8.1	19.1879	18.4007
-8.2	8.2	19.4248	18.5649
-8.3	8.3	19.6617	18.8018
-8.4	8.4	19.8985	19.0387
-8.5	8.5	20.1354	19.2756
-8.6	8.6	20.3723	19.5125
-8.7	8.7	20.6092	19.7494
-8.8	8.8	20.8461	19.9862
-8.9	8.9	21.083	20.2231
-9.0	9.0	21.3199	20.46
-9.1	9.1	21.5567	20.6969
-9.2	9.2	21.7936	20.9338
-9.3	9.3	22.0305	21.1707
-9.4	9.4	22.2674	21.4076
-9.5	9.5	22.5043	21.6445
-9.6	9.6	22.7412	21.8401
-9.7	9.7	22.9781	22.0322
-9.8	9.8	23.215	22.2691
-9.9	9.9	23.4518	22.506
-10.0	10.0	23.6887	22.6569
-10.1	10.1	23.9256	22.8938
-10.2	10.2	24.1625	23.1307
-10.3	10.3	24.3994	23.3018
-10.4	10.4	24.6363	23.5185
-10.5	10.5	24.8732	23.7554
-10.6	10.6	25.1101	23.9923
-10.7	10.7	25.3469	24.2291
-10.8	10.8	25.5838	24.3801
-10.9	10.9	25.8207	24.6169
-11.0	11.0	26.0576	24.8538
-11.1	11.1	26.2945	25.0907
-11.2	11.2	26.5314	25.3276
-11.3	11.3	26.7683	25.5645
-11.4	11.4	27.0052	25.8014
-11.5	11.5	27.242	26.0383
-11.6	11.6	27.4789	26.1892
-11.7	11.7	27.7158	26.4261
-11.8	11.8	27.9527	26.6629
-11.9	11.9	28.1896	26.8998
-12.0	12.0	28.4265	27.1367
-12.1	12.1	28.6634	27.3431
-12.2	12.2	28.9003	27.4385
-12.3	12.3	29.1371	27.6754
-12.4	12.4	29.374	27.9123
-12.5	12.5	29.6109	28.1492
-12.6	12.6	29.8478	28.3861
-12.7	12.7	30.0847	28.623
-12.8	12.8	30.3216	28.6879
-12.9	12.9	30.5585	28.9248
-13.0	13.0	30.7954	29.1617
-13.1	13.1	31.0322	29.3985
-13.2	13.2	31.2691	29.6354
-13.3	13.3	31.506	29.8366
-13.4	13.4	31.7429	30.0232
-13.5	13.5	31.9798	30.2601
-13.6	13.6	32.2167	30.497
-13.7	13.7	32.4536	30.6479
-13.8	13.8	32.6905	30.8848
-13.9	13.9	32.9273	31.1217
-14.0	14.0	33.1642	31.2726
-14.1	14.1	33.4011	31.5095
-14.2	14.2	33.638	31.7463
-14.3	14.3	33.8749	31.9832
-14.4	14.4	34.1118	32.2201
-14.5	14.5	34.3487	32.457
-14.6	14.6	34.5856	32.6939
-14.7	14.7	34.8224	32.9308
-14.8	14.8	35.0593	33.1677
-14.9	14.9	35.2962	33.4046
-15.0	15.0	35.5331	33.6414
-15.1	15.1	35.77	33.8783
-15.2	15.2	36.0069	34.1152
-15.3	15.3	36.2438	34.3521
-15.4	15.4	36.4807	34.589
-15.5	15.5	36.7175	34.8259
-15.6	15.6	36.9544	35.0628
-15.7	15.7	37.1913	35.2997
-15.8	15.8	37.4282	35.5365
-15.9	15.9	37.6651	35.7696
-16.0	16.0	37.902	35.9243
-16.1	16.1	38.1389	36.1612
-16.2	16.2	38.3758	36.3121
-16.3	16.3	38.6126	36.3742
-16.4	16.4	38.8495	36.5279
-16.5	16.5	39.0864	36.7648
-16.6	16.6	39.3233	36.9157
-16.7	16.7	39.5602	37.0666
-16.8	16.8	39.7971	37.3035
-16.9	16.9	40.034	37.5404
-17.0	17.0	40.2709	37.7773
-17.1	17.1	40.5077	38.0142
-17.2	17.2	40.7446	38.1771
-17.3	17.3	40.9815	38.316
-17.4	17.4	41.2184	38.5529
-17.5	17.5	41.4553	38.7898
-17.6	17.6	41.6922	38.951
-17.7	17.7	41.9291	39.1776
-17.8	17.8	42.166	39.4144
-17.9	17.9	42.4028	39.6513
-18.0	18.0	42.6397	39.8882
-18.1	18.1	42.8766	40.0688
-18.2	18.2	43.1135	40.276
-18.3	18.3	43.3504	40.4269
-18.4	18.4	43.5873	40.6638
-18.5	18.5	43.8242	40.8426
-18.6	18.6	44.061	41.0516
-18.7	18.7	44.2979	41.2885
-18.8	18.8	44.5348	41.5254
-18.9	18.9	44.7717	41.7623
-19.0	19.0	45.0086	41.9991
-19.1	19.1	45.2455	42.236
-19.2	19.2	45.4824	42.4729
-19.3	19.3	45.7193	42.7098
-19.4	19.4	45.9561	42.9467
-19.5	19.5	46.193	43.1836
-19.6	19.6	46.4299	43.4205
-19.7	19.7	46.6668	43.5942
-19.8	19.8	46.9037	43.8083
-19.9	19.9	47.1406	44.0451
-20.0	20.0	47.3775	44.282
-20.1	20.1	47.6144	44.4329
-20.2	20.2	47.8512	44.626
-20.3	20.3	48.0881	44.7347
-20.4	20.4	48.325	44.9716
-20.5	20.5	48.5619	45.2085
-20.6	20.6	48.7988	45.4454
-20.7	20.7	49.0357	45.5963
-20.8	20.8	49.2726	45.6612
-20.9	20.9	49.5095	45.8121
-21.0	21.0	49.7463	46.0017
-21.1	21.1	49.9832	46.1999
-21.2	21.2	50.2201	46.4316
-21.3	21.3	50.457	46.5877
-21.4	21.4	50.6939	46.8246
-21.5	21.5	50.9308	47.0615
-21.6	21.6	51.1677	47.2984
-21.7	21.7	51.4046	47.4493
-21.8	21.8	51.6414	47.6862
-21.9	21.9	51.8783	47.923
-22.0	22.0	52.1152	48.1599
-22.1	22.1	52.3521	48.3968
-22.2	22.2	52.589	48.6337
-22.3	22.3	52.8259	48.8706
-22.4	22.4	53.0628	49.1075
-22.5	22.5	53.2997	49.2691
-22.6	22.6	53.5365	49.4953
-22.7	22.7	53.7734	49.7322
-22.8	22.8	54.0103	49.969
-22.9	22.9	54.2472	50.2059
-23.0	23.0	54.4841	50.4428
-23.1	23.1	54.721	50.6797
-23.2	23.2	54.9579	50.9166
-23.3	23.3	55.1948	51.0748
-23.4	23.4	55.4316	51.2184
-23.5	23.5	55.6685	51.4553
-23.6	23.6	55.9054	51.6922
-23.7	23.7	56.1423	51.9291
-23.8	23.8	56.3792	52.166
-23.9	23.9	56.6161	52.3646
-24.0	24.0	56.853	52.5537
-24.1	24.1	57.0899	52.7085
-24.2	24.2	57.3267	52.9415
-24.3	24.3	57.5636	53.1384
-24.4	24.4	57.8005	53.3293
-24.5	24.5	58.0374	53.5662
-24.6	24.6	58.2743	53.8031
-24.7	24.7	58.5112	53.954
-24.8	24.8	58.7481	54.1909
-24.9	24.9	58.985	54.4278
-25.0	25.0	59.2218	54.6647
-25.1	25.1	59.4587	54.9015
-25.2	25.2	59.6956	55.1161
-25.3	25.3	59.9325	55.2893
-25.4	25.4	60.1694	55.46
-25.5	25.5	60.4063	55.5911
-25.6	25.6	60.6432	55.804
-25.7	25.7	60.8801	55.9789
-25.8	25.8	61.1169	56.2158
-25.9	25.9	61.3538	56.4527
-26.0	26.0	61.5907	56.6896
-26.1	26.1	61.8276	56.9265
-26.2	26.2	62.0645	57.1634
-26.3	26.3	62.3014	57.3143
-26.4	26.4	62.5383	57.4652
-26.5	26.5	62.7752	57.7021
-26.6	26.6	63.012	57.853
-26.7	26.7	63.2489	58.0039
-26.8	26.8	63.4858	58.1548
-26.9	26.9	63.7227	58.3057
-27.0	27.0	63.9596	58.5426
-27.1	27.1	64.1965	58.7794
-27.2	27.2	64.4334	58.8134
-27.3	27.3	64.6702	58.9953
-27.4	27.4	64.9071	59.2322
-27.5	27.5	65.144	59.3831
-27.6	27.6	65.3809	59.5873
-27.7	27.7	65.6178	59.6849
-27.8	27.8	65.8547	59.8452
-27.9	27.9	66.0916	59.9867
-28.0	28.0	66.3285	60.1376
-28.1	28.1	66.5653	60.2885
-28.2	28.2	66.8022	60.4394
-28.3	28.3	67.0391	60.5903
-28.4	28.4	67.276	60.7911
-28.5	28.5	67.5129	60.9781
-28.6	28.6	67.7498	61.129
-28.7	28.7	67.9867	61.1939
-28.8	28.8	68.2236	61.3448
-28.9	28.9	68.4604	61.4957
-29.0	29.0	68.6973	61.6466
-29.1	29.1	68.9342	61.8835
-29.2	29.2	69.1711	62.1204
-29.3	29.3	69.408	62.3573
-29.4	29.4	69.6449	62.5107
-29.5	29.5	69.8818	62.7451
-29.6	29.6	70.1187	62.9819
-29.7	29.7	70.3555	63.2188
-29.8	29.8	70.5924	63.4557
-29.9	29.9	70.8293	63.5206
-30.0	30.0	71.0662	63.6715
-30.1	30.1	71.3031	63.8224
-30.2	30.2	71.54	64.0593
-30.3	30.3	71.7769	64.2102
-30.4	30.4	72.0138	64.4024
-30.5	30.5	72.2506	64.512
-30.6	30.6	72.4875	64.7463
-30.7	30.7	72.7244	64.8323
-30.8	30.8	72.9613	64.9647
-30.9	30.9	73.1982	65.0297
-31.0	31.0	73.4351	65.1763
-31.1	31.1	73.672	65.3315
-31.2	31.2	73.9089	65.5684
-31.3	31.3	74.1457	65.8052
-31.4	31.4	74.3826	65.9501
-31.5	31.5	74.6195	66.0211
-31.6	31.6	74.8564	66.1221
-31.7	31.7	75.0933	66.3229
-31.8	31.8	75.3302	66.4738
-31.9	31.9	75.5671	66.7107
-32.0	32.0	75.804	66.9475
-32.1	32.1	76.0408	67.1844
-32.2	32.2	76.2777	67.3259
-32.3	32.3	76.5146	67.4119
-32.4	32.4	76.7515	67.5512
-32.5	32.5	76.9884	67.7558
-32.6	32.6	77.2253	67.9278
-32.7	32.7	77.4622	67.9278
-32.8	32.8	77.6991	68.1548
-32.9	32.9	77.9359	68.3577
-33.0	33.0	78.1728	68.4437
-33.1	33.1	78.4097	68.6075
-33.2	33.2	78.6466	68.7584
-33.3	33.3	78.8835	68.9093
-33.4	33.4	79.1204	69.1462
-33.5	33.5	79.3573	69.3035
-33.6	33.6	79.5942	69.534
-33.7	33.7	79.831	69.6475
-33.8	33.8	80.0679	69.8358
-33.9	33.9	80.3048	69.9054
-34.0	34.0	80.5417	69.9054
-34.1	34.1	80.7786	70.1165
-34.2	34.2	81.0155	70.2494
-34.3	34.3	81.2524	70.2494
-34.4	34.4	81.4893	70.3353
-34.5	34.5	81.7261	70.3762
-34.6	34.6	81.963	70.5271
-34.7	34.7	82.1999	70.6793
-34.8	34.8	82.4368	70.8289
-34.9	34.9	82.6737	70.9798
-35.0	35.0	82.9106	71.1952
-35.1	35.1	83.1475	71.3676
-35.2	35.2	83.3844	71.5391
-35.3	35.3	83.6212	71.7554
-35.4	35.4	83.8581	71.8203
-35.5	35.5	84.095	71.9712
-35.6	35.6	84.3319	72.2081
-35.7	35.7	84.5688	72.313
-35.8	35.8	84.8057	72.4239
-35.9	35.9	85.0426	72.485
-36.0	36.0	85.2794	72.485
-36.1	36.1	85.5163	72.6187
-36.2	36.2	85.7532	72.7429
-36.3	36.3	85.9901	72.8289
-36.4	36.4	86.227	72.9149
-36.5	36.5	86.4639	73.0868
-36.6	36.6	86.7008	73.1728
-36.7	36.7	86.9377	73.2661
-36.8	36.8	87.1745	73.503
-36.9	36.9	87.4114	73.5679
-37.0	37.0	87.6483	73.6328
-37.1	37.1	87.8852	73.7747
-37.2	37.2	88.1221	73.7747
-37.3	37.3	88.359	73.8607
-37.4	37.4	88.5959	73.9467
-37.5	37.5	88.8328	74.0434
-37.6	37.6	89.0696	74.1187
-37.7	37.7	89.3065	74.1187
-37.8	37.8	89.5434	74.2382
-37.9	37.9	89.7803	74.3031
-38.0	38.0	90.0172	74.4626
-38.1	38.1	90.2541	74.5486
-38.2	38.2	90.491	74.6346
-38.3	38.3	90.7279	74.8065
-38.4	38.4	90.9647	74.8925
-38.5	38.5	91.2016	75.0645
-38.6	38.6	91.4385	75.1505
-38.7	38.7	91.6754	75.2365
-38.8	38.8	91.9123	75.4033
-38.9	38.9	92.1492	75.4084
-39.0	39.0	92.3861	75.5804
-39.1	39.1	92.623	75.598
-39.2	39.2	92.8598	75.7524
-39.3	39.3	93.0967	75.7524
-39.4	39.4	93.3336	75.8383
-39.5	39.5	93.5705	75.9243
-39.6	39.6	93.8074	75.9243
-39.7	39.7	94.0443	75.9875
-39.8	39.8	94.2812	76.1384
-39.9	39.9	94.5181	76.2893
-40.0	40.0	94.7549	76.3543
-40.1	40.1	94.9918	76.5911
-40.2	40.2	95.2287	76.7842
-40.3	40.3	95.4656	76.9561
-40.4	40.4	95.7025	77.0421
-40.5	40.5	95.9394	77.1948
-40.6	40.6	96.1763	77.3457
-40.7	40.7	96.4132	77.4106
-40.8	40.8	96.65	77.558
-40.9	40.9	96.8869	77.558
-41.0	41.0	97.1238	77.644
-41.1	41.1	97.3607	77.816
-41.2	41.2	97.5976	77.816
-41.3	41.3	97.8345	77.8861
-41.4	41.4	98.0714	77.902
-41.5	41.5	98.3083	78.0739
-41.6	41.6	98.5451	78.0739
-41.7	41.7	98.782	78.1599
-41.8	41.8	99.0189	78.2966
-41.9	41.9	99.2558	78.4179
-42.0	42.0	99.4927	78.4265
-42.1	42.1	99.7296	78.6634
-42.2	42.2	99.9665	78.6758
-42.3	42.3	100	78.7932
-42.4	42.4	100	78.9441
-42.5	42.5	100	79.0198
-42.6	42.6	100	79.0739
-42.7	42.7	100	79.1058
-42.8	42.8	100	79.1917
-42.9	42.9	100	79.2777
-43.0	43.0	100	79.4196
-43.1	43.1	100	79.5705
-43.2	43.2	100	79.7077
-43.3	43.3	100	79.7077
-43.4	43.4	100	79.7653
-43.5	43.5	100	79.7936
-43.6	43.6	100	79.7936
-43.7	43.7	100	79.7936
-43.8	43.8	100	79.8796
-43.9	43.9	100	79.9656
-44.0	44.0	100	80.0688
-44.1	44.1	100	80.2236
-44.2	44.2	100	80.3706
-44.3	44.3	100	80.3955
-44.4	44.4	100	80.5675
-44.5	44.5	100	80.5675
-44.6	44.6	100	80.8022
-44.7	44.7	100	80.9114
-44.8	44.8	100	80.9114
-44.9	44.9	100	80.997
-45.0	45.0	100	81.0619
-45.1	45.1	100	81.1694
-45.2	45.2	100	81.3414
-45.3	45.3	100	81.5133
-45.4	45.4	100	81.5795
-45.5	45.5	100	81.5993
-45.6	45.6	100	81.6234
-45.7	45.7	100	81.8573
-45.8	45.8	100	81.8573
-45.9	45.9	100	81.9433
-46.0	46.0	100	82.0292
-46.1	46.1	100	82.0292
-46.2	46.2	100	82.1152
-46.3	46.3	100	82.2012
-46.4	46.4	100	82.2012
-46.5	46.5	100	82.2936
-46.6	46.6	100	82.3732
-46.7	46.7	100	82.3732
-46.8	46.8	100	82.3732
-46.9	46.9	100	82.4592
-47.0	47.0	100	82.5322
-47.1	47.1	100	82.5451
-47.2	47.2	100	82.5451
-47.3	47.3	100	82.641
-47.4	47.4	100	82.7171
-47.5	47.5	100	82.8891
-47.6	47.6	100	82.8891
-47.7	47.7	100	82.8891
-47.8	47.8	100	82.8891
-47.9	47.9	100	82.9445
-48.0	48.0	100	83.0095
-48.1	48.1	100	83.233
-48.2	48.2	100	83.233
-48.3	48.3	100	83.319
-48.4	48.4	100	83.5271
-48.5	48.5	100	83.6629
-48.6	48.6	100	83.7429
-48.7	48.7	100	83.8349
-48.8	48.8	100	83.8727
-48.9	48.9	100	83.9377
-49.0	49.0	100	84.0069
-49.1	49.1	100	84.1535
-49.2	49.2	100	84.2648
-49.3	49.3	100	84.4553
-49.4	49.4	100	84.6922
-49.5	49.5	100	84.7571
-49.6	49.6	100	84.7807
-49.7	49.7	100	84.8667
-49.8	49.8	100	85.0378
-49.9	49.9	100	85.1247
-50.0	50.0	100	85.1247
-50.1	50.1	100	85.1247
-50.2	50.2	100	85.2115
-50.3	50.3	100	85.3624
-50.4	50.4	100	85.3826
-50.5	50.5	100	85.3826
-50.6	50.6	100	85.3826
-50.7	50.7	100	85.3826
-50.8	50.8	100	85.4686
-50.9	50.9	100	85.58
-51.0	51.0	100	85.6406
-51.1	51.1	100	85.6406
-51.2	51.2	100	85.7266
-51.3	51.3	100	85.7266
-51.4	51.4	100	85.8186
-51.5	51.5	100	85.9845
-51.6	51.6	100	85.9845
-51.7	51.7	100	85.9845
-51.8	51.8	100	85.9845
-51.9	51.9	100	85.9845
-52.0	52.0	100	86.1221
-52.1	52.1	100	86.1565
-52.2	52.2	100	86.2519
-52.3	52.3	100	86.3285
-52.4	52.4	100	86.3285
-52.5	52.5	100	86.5327
-52.6	52.6	100	86.6724
-52.7	52.7	100	86.6724
-52.8	52.8	100	86.6724
-52.9	52.9	100	86.7584
-53.0	53.0	100	86.7584
-53.1	53.1	100	86.7584
-53.2	53.2	100	86.8444
-53.3	53.3	100	86.9304
-53.4	53.4	100	86.9304
-53.5	53.5	100	87.0163
-53.6	53.6	100	87.1023
-53.7	53.7	100	87.1023
-53.8	53.8	100	87.1187
-53.9	53.9	100	87.2743
-54.0	54.0	100	87.4205
-54.1	54.1	100	87.4854
-54.2	54.2	100	87.5322
-54.3	54.3	100	87.5322
-54.4	54.4	100	87.5942
-54.5	54.5	100	87.7042
-54.6	54.6	100	87.7902
-54.7	54.7	100	87.7902
-54.8	54.8	100	87.7902
-54.9	54.9	100	87.8328
-55.0	55.0	100	87.8762
-55.1	55.1	100	87.8762
-55.2	55.2	100	87.8762
-55.3	55.3	100	87.8762
-55.4	55.4	100	87.8762
-55.5	55.5	100	87.9622
-55.6	55.6	100	87.9622
-55.7	55.7	100	88.0082
-55.8	55.8	100	88.2201
-55.9	55.9	100	88.224
-56.0	56.0	100	88.3921
-56.1	56.1	100	88.4781
-56.2	56.2	100	88.5641
-56.3	56.3	100	88.65
-56.4	56.4	100	88.7206
-56.5	56.5	100	88.9574
-56.6	56.6	100	89.0224
-56.7	56.7	100	89.0873
-56.8	56.8	100	89.3242
-56.9	56.9	100	89.3891
-57.0	57.0	100	89.5099
-57.1	57.1	100	89.5959
-57.2	57.2	100	89.5959
-57.3	57.3	100	89.6819
-57.4	57.4	100	89.7137
-57.5	57.5	100	89.7678
-57.6	57.6	100	89.7678
-57.7	57.7	100	89.8224
-57.8	57.8	100	89.8538
-57.9	57.9	100	89.8663
-58.0	58.0	100	89.9398
-58.1	58.1	100	90.0258
-58.2	58.2	100	90.1118
-58.3	58.3	100	90.126
-58.4	58.4	100	90.3629
-58.5	58.5	100	90.3697
-58.6	58.6	100	90.3697
-58.7	58.7	100	90.4557
-58.8	58.8	100	90.4557
-58.9	58.9	100	90.4557
-59.0	59.0	100	90.4557
-59.1	59.1	100	90.4557
-59.2	59.2	100	90.5383
-59.3	59.3	100	90.6277
-59.4	59.4	100	90.6277
-59.5	59.5	100	90.7137
-59.6	59.6	100	90.7137
-59.7	59.7	100	90.8629
-59.8	59.8	100	90.8856
-59.9	59.9	100	90.9716
-60.0	60.0	100	90.9716
-60.1	60.1	100	91.0576
-60.2	60.2	100	91.1436
-60.3	60.3	100	91.1436
-60.4	60.4	100	91.2296
-60.5	60.5	100	91.2296
-60.6	60.6	100	91.2296
-60.7	60.7	100	91.2296
-60.8	60.8	100	91.3156
-60.9	60.9	100	91.4015
-61.0	61.0	100	91.4015
-61.1	61.1	100	91.4875
-61.2	61.2	100	91.4875
-61.3	61.3	100	91.4875
-61.4	61.4	100	91.5365
-61.5	61.5	100	91.6015
-61.6	61.6	100	91.6595
-61.7	61.7	100	91.7313
-61.8	61.8	100	91.7455
-61.9	61.9	100	91.7455
-62.0	62.0	100	91.8315
-62.1	62.1	100	91.8315
-62.2	62.2	100	91.9175
-62.3	62.3	100	91.9175
-62.4	62.4	100	91.9278
-62.5	62.5	100	92.0787
-62.6	62.6	100	92.0894
-62.7	62.7	100	92.0894
-62.8	62.8	100	92.0894
-62.9	62.9	100	92.0894
-63.0	63.0	100	92.0894
-63.1	63.1	100	92.2614
-63.2	63.2	100	92.2614
-63.3	63.3	100	92.2614
-63.4	63.4	100	92.4334
-63.5	63.5	100	92.4334
-63.6	63.6	100	92.4334
-63.7	63.7	100	92.4334
-63.8	63.8	100	92.5193
-63.9	63.9	100	92.6053
-64.0	64.0	100	92.6053
-64.1	64.1	100	92.6053
-64.2	64.2	100	92.6053
-64.3	64.3	100	92.6053
-64.4	64.4	100	92.6053
-64.5	64.5	100	92.6053
-64.6	64.6	100	92.6913
-64.7	64.7	100	92.819
-64.8	64.8	100	92.8633
-64.9	64.9	100	92.9493
-65.0	65.0	100	93.0353
-65.1	65.1	100	93.1212
-65.2	65.2	100	93.1212
-65.3	65.3	100	93.1212
-65.4	65.4	100	93.1874
-65.5	65.5	100	93.2072
-65.6	65.6	100	93.2072
-65.7	65.7	100	93.2932
-65.8	65.8	100	93.2932
-65.9	65.9	100	93.3792
-66.0	66.0	100	93.3792
-66.1	66.1	100	93.3792
-66.2	66.2	100	93.3792
-66.3	66.3	100	93.3792
-66.4	66.4	100	93.4652
-66.5	66.5	100	93.4652
-66.6	66.6	100	93.4652
-66.7	66.7	100	93.4652
-66.8	66.8	100	93.4652
-66.9	66.9	100	93.5512
-67.0	67.0	100	93.5512
-67.1	67.1	100	93.5512
-67.2	67.2	100	93.7231
-67.3	67.3	100	93.733
-67.4	67.4	100	93.8091
-67.5	67.5	100	93.8629
-67.6	67.6	100	93.8951
-67.7	67.7	100	93.9067
-67.8	67.8	100	93.9811
-67.9	67.9	100	93.9811
-68.0	68.0	100	94.0671
-68.1	68.1	100	94.0671
-68.2	68.2	100	94.1453
-68.3	68.3	100	94.1531
-68.4	68.4	100	94.1531
-68.5	68.5	100	94.1531
-68.6	68.6	100	94.1531
-68.7	68.7	100	94.1531
-68.8	68.8	100	94.1531
-68.9	68.9	100	94.1531
-69.0	69.0	100	94.239
-69.1	69.1	100	94.3856
-69.2	69.2	100	94.411
-69.3	69.3	100	94.411
-69.4	69.4	100	94.411
-69.5	69.5	100	94.411
-69.6	69.6	100	94.497
-69.7	69.7	100	94.497
-69.8	69.8	100	94.497
-69.9	69.9	100	94.497
-70.0	70.0	100	94.497
-70.1	70.1	100	94.497
-70.2	70.2	100	94.497
-70.3	70.3	100	94.497
-70.4	70.4	100	94.497
-70.5	70.5	100	94.6066
-70.6	70.6	100	94.669
-70.7	70.7	100	94.669
-70.8	70.8	100	94.669
-70.9	70.9	100	94.669
-71.0	71.0	100	94.669
-71.1	71.1	100	94.669
-71.2	71.2	100	94.669
-71.3	71.3	100	94.669
-71.4	71.4	100	94.675
-71.5	71.5	100	94.7549
-71.6	71.6	100	94.7549
-71.7	71.7	100	94.7549
-71.8	71.8	100	94.7549
-71.9	71.9	100	94.7549
-72.0	72.0	100	94.8065
-72.1	72.1	100	94.8409
-72.2	72.2	100	94.8409
-72.3	72.3	100	94.9153
-72.4	72.4	100	94.9269
-72.5	72.5	100	94.9269
-72.6	72.6	100	94.9269
-72.7	72.7	100	94.9269
-72.8	72.8	100	95.0129
-72.9	72.9	100	95.1328
-73.0	73.0	100	95.1849
-73.1	73.1	100	95.2627
-73.2	73.2	100	95.2709
-73.3	73.3	100	95.3568
-73.4	73.4	100	95.3568
-73.5	73.5	100	95.3568
-73.6	73.6	100	95.4153
-73.7	73.7	100	95.4802
-73.8	73.8	100	95.5288
-73.9	73.9	100	95.6148
-74.0	74.0	100	95.6148
-74.1	74.1	100	95.7008
-74.2	74.2	100	95.7868
-74.3	74.3	100	95.7868
-74.4	74.4	100	95.7868
-74.5	74.5	100	95.8727
-74.6	74.6	100	95.8727
-74.7	74.7	100	95.9587
-74.8	74.8	100	95.9587
-74.9	74.9	100	95.9587
-75.0	75.0	100	95.9587
-75.1	75.1	100	96.1307
-75.2	75.2	100	96.1307
-75.3	75.3	100	96.2167
-75.4	75.4	100	96.2167
-75.5	75.5	100	96.2167
-75.6	75.6	100	96.2167
-75.7	75.7	100	96.2167
-75.8	75.8	100	96.2416
-75.9	75.9	100	96.3027
-76.0	76.0	100	96.3027
-76.1	76.1	100	96.3027
-76.2	76.2	100	96.3887
-76.3	76.3	100	96.3887
-76.4	76.4	100	96.3887
-76.5	76.5	100	96.3887
-76.6	76.6	100	96.3887
-76.7	76.7	100	96.3887
-76.8	76.8	100	96.3887
-76.9	76.9	100	96.3887
-77.0	77.0	100	96.3887
-77.1	77.1	100	96.3887
-77.2	77.2	100	96.3887
-77.3	77.3	100	96.3887
-77.4	77.4	100	96.3887
-77.5	77.5	100	96.3887
-77.6	77.6	100	96.3887
-77.7	77.7	100	96.3887
-77.8	77.8	100	96.4746
-77.9	77.9	100	96.4746
-78.0	78.0	100	96.4746
-78.1	78.1	100	96.4746
-78.2	78.2	100	96.4746
-78.3	78.3	100	96.5606
-78.4	78.4	100	96.5606
-78.5	78.5	100	96.6466
-78.6	78.6	100	96.6466
-78.7	78.7	100	96.6466
-78.8	78.8	100	96.6466
-78.9	78.9	100	96.6466
-79.0	79.0	100	96.6466
-79.1	79.1	100	96.7326
-79.2	79.2	100	96.8186
-79.3	79.3	100	96.8186
-79.4	79.4	100	96.8186
-79.5	79.5	100	96.8186
-79.6	79.6	100	96.8186
-79.7	79.7	100	96.9046
-79.8	79.8	100	96.9046
-79.9	79.9	100	96.9046
-80.0	80.0	100	96.9046
-80.1	80.1	100	96.9695
-80.2	80.2	100	96.9905
-80.3	80.3	100	96.9905
-80.4	80.4	100	96.9905
-80.5	80.5	100	96.9905
-80.6	80.6	100	96.9905
-80.7	80.7	100	97.0765
-80.8	80.8	100	97.0765
-80.9	80.9	100	97.1449
-81.0	81.0	100	97.2485
-81.1	81.1	100	97.2485
-81.2	81.2	100	97.2485
-81.3	81.3	100	97.2485
-81.4	81.4	100	97.2485
-81.5	81.5	100	97.2764
-81.6	81.6	100	97.3345
-81.7	81.7	100	97.3345
-81.8	81.8	100	97.4205
-81.9	81.9	100	97.5361
-82.0	82.0	100	97.5924
-82.1	82.1	100	97.5924
-82.2	82.2	100	97.5924
-82.3	82.3	100	97.5924
-82.4	82.4	100	97.5924
-82.5	82.5	100	97.5924
-82.6	82.6	100	97.5924
-82.7	82.7	100	97.5924
-82.8	82.8	100	97.6784
-82.9	82.9	100	97.6784
-83.0	83.0	100	97.7644
-83.1	83.1	100	97.7644
-83.2	83.2	100	97.8504
-83.3	83.3	100	97.8504
-83.4	83.4	100	97.8504
-83.5	83.5	100	97.8504
-83.6	83.6	100	97.8504
-83.7	83.7	100	97.8504
-83.8	83.8	100	97.8504
-83.9	83.9	100	98.0224
-84.0	84.0	100	98.0224
-84.1	84.1	100	98.0224
-84.2	84.2	100	98.0224
-84.3	84.3	100	98.0224
-84.4	84.4	100	98.1273
-84.5	84.5	100	98.1943
-84.6	84.6	100	98.1943
-84.7	84.7	100	98.1943
-84.8	84.8	100	98.1943
-84.9	84.9	100	98.1943
-85.0	85.0	100	98.1943
-85.1	85.1	100	98.1943
-85.2	85.2	100	98.1943
-85.3	85.3	100	98.2803
-85.4	85.4	100	98.2803
-85.5	85.5	100	98.2803
-85.6	85.6	100	98.2803
-85.7	85.7	100	98.2803
-85.8	85.8	100	98.4342
-85.9	85.9	100	98.5383
-86.0	86.0	100	98.5383
-86.1	86.1	100	98.6242
-86.2	86.2	100	98.6242
-86.3	86.3	100	98.6242
-86.4	86.4	100	98.7377
-86.5	86.5	100	98.7962
-86.6	86.6	100	98.7962
-86.7	86.7	100	98.7962
-86.8	86.8	100	98.7962
-86.9	86.9	100	98.8822
-87.0	87.0	100	98.8822
-87.1	87.1	100	98.8822
-87.2	87.2	100	98.8822
-87.3	87.3	100	98.8822
-87.4	87.4	100	98.8822
-87.5	87.5	100	98.8822
-87.6	87.6	100	98.9682
-87.7	87.7	100	98.9682
-87.8	87.8	100	98.9682
-87.9	87.9	100	98.9682
-88.0	88.0	100	98.9682
-88.1	88.1	100	99.0542
-88.2	88.2	100	99.0542
-88.3	88.3	100	99.1113
-88.4	88.4	100	99.1402
-88.5	88.5	100	99.2261
-88.6	88.6	100	99.2261
-88.7	88.7	100	99.2261
-88.8	88.8	100	99.2261
-88.9	88.9	100	99.2261
-89.0	89.0	100	99.2261
-89.1	89.1	100	99.2868
-89.2	89.2	100	99.3121
-89.3	89.3	100	99.3121
-89.4	89.4	100	99.3121
-89.5	89.5	100	99.3981
-89.6	89.6	100	99.4841
-89.7	89.7	100	99.4841
-89.8	89.8	100	99.4841
-89.9	89.9	100	99.4841
-90.0	90.0	100	99.4841
-90.1	90.1	100	99.4841
-90.2	90.2	100	99.4841
-90.3	90.3	100	99.4841
-90.4	90.4	100	99.4841
-90.5	90.5	100	99.4841
-90.6	90.6	100	99.4841
-90.7	90.7	100	99.4841
-90.8	90.8	100	99.4841
-90.9	90.9	100	99.4841
-91.0	91.0	100	99.4841
-91.1	91.1	100	99.4841
-91.2	91.2	100	99.4841
-91.3	91.3	100	99.4841
-91.4	91.4	100	99.4841
-91.5	91.5	100	99.4841
-91.6	91.6	100	99.4841
-91.7	91.7	100	99.4841
-91.8	91.8	100	99.4841
-91.9	91.9	100	99.4841
-92.0	92.0	100	99.4841
-92.1	92.1	100	99.4841
-92.2	92.2	100	99.4841
-92.3	92.3	100	99.4841
-92.4	92.4	100	99.4841
-92.5	92.5	100	99.4841
-92.6	92.6	100	99.4841
-92.7	92.7	100	99.4841
-92.8	92.8	100	99.4841
-92.9	92.9	100	99.4841
-93.0	93.0	100	99.4841
-93.1	93.1	100	99.4841
-93.2	93.2	100	99.4841
-93.3	93.3	100	99.6058
-93.4	93.4	100	99.6561
-93.5	93.5	100	99.6561
-93.6	93.6	100	99.6561
-93.7	93.7	100	99.6561
-93.8	93.8	100	99.6561
-93.9	93.9	100	99.6561
-94.0	94.0	100	99.6561
-94.1	94.1	100	99.6561
-94.2	94.2	100	99.6561
-94.3	94.3	100	99.6561
-94.4	94.4	100	99.6561
-94.5	94.5	100	99.6561
-94.6	94.6	100	99.6561
-94.7	94.7	100	99.6561
-94.8	94.8	100	99.6561
-94.9	94.9	100	99.6561
-95.0	95.0	100	99.742
-95.1	95.1	100	99.742
-95.2	95.2	100	99.742
-95.3	95.3	100	99.742
-95.4	95.4	100	99.742
-95.5	95.5	100	99.742
-95.6	95.6	100	99.742
-95.7	95.7	100	99.742
-95.8	95.8	100	99.742
-95.9	95.9	100	99.742
-96.0	96.0	100	99.742
-96.1	96.1	100	99.742
-96.2	96.2	100	99.742
-96.3	96.3	100	99.742
-96.4	96.4	100	99.742
-96.5	96.5	100	99.742
-96.6	96.6	100	99.828
-96.7	96.7	100	99.828
-96.8	96.8	100	99.828
-96.9	96.9	100	99.828
-97.0	97.0	100	99.828
-97.1	97.1	100	99.828
-97.2	97.2	100	99.828
-97.3	97.3	100	99.828
-97.4	97.4	100	99.828
-97.5	97.5	100	99.914
-97.6	97.6	100	99.914
-97.7	97.7	100	99.914
-97.8	97.8	100	99.914
-97.9	97.9	100	99.914
-98.0	98.0	100	99.914
-98.1	98.1	100	99.914
-98.2	98.2	100	99.914
-98.3	98.3	100	99.914
-98.4	98.4	100	99.914
-98.5	98.5	100	99.914
-98.6	98.6	100	99.914
-98.7	98.7	100	99.914
-98.8	98.8	100	99.914
-98.9	98.9	100	99.9738
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	positive
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.798551	0.57971
-0.2	0.2	1.5971	1.01739
-0.3	0.3	2.39565	1.52609
-0.4	0.4	3.1942	2.32464
-0.5	0.5	3.99275	2.89855
-0.6	0.6	4.7913	3.34203
-0.7	0.7	5.58986	4.14058
-0.8	0.8	6.38841	4.93913
-0.9	0.9	7.18696	5.21739
-1.0	1.0	7.98551	5.95652
-1.1	1.1	8.78406	6.46522
-1.2	1.2	9.58261	6.97391
-1.3	1.3	10.3812	7.77246
-1.4	1.4	11.1797	8.4058
-1.5	1.5	11.9783	9.07971
-1.6	1.6	12.7768	9.58841
-1.7	1.7	13.5754	10.1449
-1.8	1.8	14.3739	10.1449
-1.9	1.9	15.1725	10.8246
-2.0	2.0	15.971	11.3333
-2.1	2.1	16.7696	11.8841
-2.2	2.2	17.5681	12.6406
-2.3	2.3	18.3667	13.1493
-2.4	2.4	19.1652	13.913
-2.5	2.5	19.9638	14.4565
-2.6	2.6	20.7623	14.9652
-2.7	2.7	21.5609	15.6522
-2.8	2.8	22.3594	16.2725
-2.9	2.9	23.158	17.071
-3.0	3.0	23.9565	17.3913
-3.1	3.1	24.7551	18.0884
-3.2	3.2	25.5536	18.5971
-3.3	3.3	26.3522	19.1058
-3.4	3.4	27.1507	19.7101
-3.5	3.5	27.9493	20.413
-3.6	3.6	28.7478	21.2116
-3.7	3.7	29.5464	21.7203
-3.8	3.8	30.3449	22.029
-3.9	3.9	31.1435	22.6087
-4.0	4.0	31.942	22.9565
-4.1	4.1	32.7406	23.4783
-4.2	4.2	33.5391	23.7681
-4.3	4.3	34.3377	24.058
-4.4	4.4	35.1362	24.7014
-4.5	4.5	35.9348	25.5
-4.6	4.6	36.7333	26.087
-4.7	4.7	37.5319	26.5174
-4.8	4.8	38.3304	27.0261
-4.9	4.9	39.129	27.5362
-5.0	5.0	39.9275	27.5362
-5.1	5.1	40.7261	27.9725
-5.2	5.2	41.5246	28.771
-5.3	5.3	42.3232	29.5652
-5.4	5.4	43.1217	29.5652
-5.5	5.5	43.9203	29.8551
-5.6	5.6	44.7188	30.4348
-5.7	5.7	45.5174	30.4348
-5.8	5.8	46.3159	30.9536
-5.9	5.9	47.1145	31.4623
-6.0	6.0	47.913	31.971
-6.1	6.1	48.7116	32.4638
-6.2	6.2	49.5101	32.9884
-6.3	6.3	50.3087	33.3333
-6.4	6.4	51.1072	33.3333
-6.5	6.5	51.9058	33.6449
-6.6	6.6	52.7043	34.2029
-6.7	6.7	53.5029	34.7826
-6.8	6.8	54.3014	35.171
-6.9	6.9	55.1	35.942
-7.0	7.0	55.8986	36.2319
-7.1	7.1	56.6971	36.8116
-7.2	7.2	57.4957	37.1014
-7.3	7.3	58.2942	37.6812
-7.4	7.4	59.0928	37.9333
-7.5	7.5	59.8913	38.442
-7.6	7.6	60.6899	38.8406
-7.7	7.7	61.4884	39.4203
-7.8	7.8	62.287	39.4203
-7.9	7.9	63.0855	40.187
-8.0	8.0	63.8841	40.6957
-8.1	8.1	64.6826	41.1594
-8.2	8.2	65.4812	41.713
-8.3	8.3	66.2797	41.9319
-8.4	8.4	67.0783	42.3188
-8.5	8.5	67.8768	42.6087
-8.6	8.6	68.6754	42.8986
-8.7	8.7	69.4739	43.387
-8.8	8.8	70.2725	44.1855
-8.9	8.9	71.071	44.9841
-9.0	9.0	71.8696	45.5072
-9.1	9.1	72.6681	45.7971
-9.2	9.2	73.4667	46.087
-9.3	9.3	74.2652	46.3768
-9.4	9.4	75.0638	46.6623
-9.5	9.5	75.8623	46.9565
-9.6	9.6	76.6609	47.2464
-9.7	9.7	77.4594	47.2464
-9.8	9.8	78.258	47.2464
-9.9	9.9	79.0565	47.4623
-10.0	10.0	79.8551	47.971
-10.1	10.1	80.6536	48.4058
-10.2	10.2	81.4522	48.6957
-10.3	10.3	82.2507	48.8065
-10.4	10.4	83.0493	48.9855
-10.5	10.5	83.8478	49.2754
-10.6	10.6	84.6464	49.2754
-10.7	10.7	85.4449	49.7928
-10.8	10.8	86.2435	50.5913
-10.9	10.9	87.042	51.0145
-11.0	11.0	87.8406	51.3043
-11.1	11.1	88.6391	51.8275
-11.2	11.2	89.4377	52.1739
-11.3	11.3	90.2362	52.5551
-11.4	11.4	91.0348	52.7739
-11.5	11.5	91.8333	53.0435
-11.6	11.6	92.6319	53.7913
-11.7	11.7	93.4304	54.3
-11.8	11.8	94.229	54.7826
-11.9	11.9	95.0275	55.0275
-12.0	12.0	95.8261	55.0725
-12.1	12.1	96.6246	55.7551
-12.2	12.2	97.4232	56.2319
-12.3	12.3	98.2217	56.2319
-12.4	12.4	99.0203	56.9913
-12.5	12.5	99.8188	57.2101
-12.6	12.6	100	57.3913
-12.7	12.7	100	57.3913
-12.8	12.8	100	57.6812
-12.9	12.9	100	57.7957
-13.0	13.0	100	57.971
-13.1	13.1	100	58.2609
-13.2	13.2	100	58.5507
-13.3	13.3	100	58.8406
-13.4	13.4	100	59.1304
-13.5	13.5	100	59.1304
-13.6	13.6	100	59.1304
-13.7	13.7	100	59.4203
-13.8	13.8	100	59.7101
-13.9	13.9	100	60
-14.0	14.0	100	60
-14.1	14.1	100	60.2899
-14.2	14.2	100	60.2899
-14.3	14.3	100	60.5797
-14.4	14.4	100	60.7884
-14.5	14.5	100	61.2971
-14.6	14.6	100	61.4493
-14.7	14.7	100	61.7348
-14.8	14.8	100	61.7391
-14.9	14.9	100	61.7391
-15.0	15.0	100	61.7391
-15.1	15.1	100	61.7391
-15.2	15.2	100	61.7391
-15.3	15.3	100	61.7391
-15.4	15.4	100	61.7391
-15.5	15.5	100	61.7391
-15.6	15.6	100	62.029
-15.7	15.7	100	62.029
-15.8	15.8	100	62.3188
-15.9	15.9	100	62.3188
-16.0	16.0	100	62.3188
-16.1	16.1	100	62.3993
-16.2	16.2	100	62.6087
-16.3	16.3	100	63.1884
-16.4	16.4	100	63.4783
-16.5	16.5	100	63.4783
-16.6	16.6	100	63.8638
-16.7	16.7	100	64.0826
-16.8	16.8	100	64.6377
-16.9	16.9	100	65.1
-17.0	17.0	100	65.2174
-17.1	17.1	100	65.5072
-17.2	17.2	100	65.5072
-17.3	17.3	100	65.7971
-17.4	17.4	100	65.7971
-17.5	17.5	100	65.7971
-17.6	17.6	100	65.7971
-17.7	17.7	100	65.9812
-17.8	17.8	100	66.3768
-17.9	17.9	100	66.3768
-18.0	18.0	100	66.3768
-18.1	18.1	100	66.6667
-18.2	18.2	100	66.6667
-18.3	18.3	100	67.0043
-18.4	18.4	100	67.5362
-18.5	18.5	100	68.0217
-18.6	18.6	100	68.1159
-18.7	18.7	100	68.1696
-18.8	18.8	100	68.4058
-18.9	18.9	100	68.4058
-19.0	19.0	100	68.4058
-19.1	19.1	100	68.4058
-19.2	19.2	100	68.4058
-19.3	19.3	100	68.6957
-19.4	19.4	100	68.8319
-19.5	19.5	100	68.9855
-19.6	19.6	100	68.9855
-19.7	19.7	100	68.9855
-19.8	19.8	100	69.1275
-19.9	19.9	100	69.5652
-20.0	20.0	100	69.5652
-20.1	20.1	100	69.5652
-20.2	20.2	100	70.1449
-20.3	20.3	100	70.5116
-20.4	20.4	100	70.7246
-20.5	20.5	100	70.7246
-20.6	20.6	100	70.8783
-20.7	20.7	100	71.5942
-20.8	20.8	100	71.8841
-20.9	20.9	100	72.1145
-21.0	21.0	100	72.1739
-21.1	21.1	100	72.2623
-21.2	21.2	100	72.4812
-21.3	21.3	100	72.7536
-21.4	21.4	100	72.7536
-21.5	21.5	100	72.7536
-21.6	21.6	100	72.7536
-21.7	21.7	100	72.9957
-21.8	21.8	100	73.3333
-21.9	21.9	100	73.3333
-22.0	22.0	100	73.3333
-22.1	22.1	100	73.3333
-22.2	22.2	100	73.3333
-22.3	22.3	100	73.729
-22.4	22.4	100	73.913
-22.5	22.5	100	74.1667
-22.6	22.6	100	74.6754
-22.7	22.7	100	74.7826
-22.8	22.8	100	75.0725
-22.9	22.9	100	75.0725
-23.0	23.0	100	75.0725
-23.1	23.1	100	75.0725
-23.2	23.2	100	75.3623
-23.3	23.3	100	75.3623
-23.4	23.4	100	75.6522
-23.5	23.5	100	75.6522
-23.6	23.6	100	75.6522
-23.7	23.7	100	75.9232
-23.8	23.8	100	75.942
-23.9	23.9	100	75.942
-24.0	24.0	100	76
-24.1	24.1	100	76.2319
-24.2	24.2	100	76.2319
-24.3	24.3	100	76.3667
-24.4	24.4	100	76.5855
-24.5	24.5	100	76.8116
-24.6	24.6	100	77.0232
-24.7	24.7	100	77.1014
-24.8	24.8	100	77.4609
-24.9	24.9	100	77.6812
-25.0	25.0	100	77.971
-25.1	25.1	100	78.2609
-25.2	25.2	100	78.2609
-25.3	25.3	100	78.2609
-25.4	25.4	100	78.2609
-25.5	25.5	100	78.2609
-25.6	25.6	100	78.2609
-25.7	25.7	100	78.2609
-25.8	25.8	100	78.2609
-25.9	25.9	100	78.2609
-26.0	26.0	100	78.2609
-26.1	26.1	100	78.2609
-26.2	26.2	100	78.2609
-26.3	26.3	100	78.5507
-26.4	26.4	100	78.5507
-26.5	26.5	100	78.5507
-26.6	26.6	100	78.7913
-26.7	26.7	100	78.8406
-26.8	26.8	100	78.8406
-26.9	26.9	100	79.1304
-27.0	27.0	100	79.1304
-27.1	27.1	100	79.7101
-27.2	27.2	100	79.7101
-27.3	27.3	100	79.7101
-27.4	27.4	100	79.7101
-27.5	27.5	100	79.8913
-27.6	27.6	100	80
-27.7	27.7	100	80.0391
-27.8	27.8	100	80.2899
-27.9	27.9	100	80.2899
-28.0	28.0	100	80.2899
-28.1	28.1	100	80.2899
-28.2	28.2	100	80.2899
-28.3	28.3	100	80.2899
-28.4	28.4	100	80.2899
-28.5	28.5	100	80.5797
-28.6	28.6	100	80.5797
-28.7	28.7	100	80.5797
-28.8	28.8	100	80.8696
-28.9	28.9	100	80.9261
-29.0	29.0	100	81.4348
-29.1	29.1	100	81.4493
-29.2	29.2	100	81.4493
-29.3	29.3	100	81.7391
-29.4	29.4	100	81.7391
-29.5	29.5	100	82.029
-29.6	29.6	100	82.029
-29.7	29.7	100	82.029
-29.8	29.8	100	82.029
-29.9	29.9	100	82.029
-30.0	30.0	100	82.3188
-30.1	30.1	100	82.3188
-30.2	30.2	100	82.3188
-30.3	30.3	100	82.3188
-30.4	30.4	100	82.6087
-30.5	30.5	100	82.6087
-30.6	30.6	100	82.6087
-30.7	30.7	100	82.6087
-30.8	30.8	100	82.8986
-30.9	30.9	100	82.9841
-31.0	31.0	100	83.1884
-31.1	31.1	100	83.4217
-31.2	31.2	100	83.4783
-31.3	31.3	100	83.4783
-31.4	31.4	100	83.7681
-31.5	31.5	100	84.058
-31.6	31.6	100	84.2261
-31.7	31.7	100	84.3478
-31.8	31.8	100	84.3478
-31.9	31.9	100	84.3478
-32.0	32.0	100	84.5217
-32.1	32.1	100	84.6377
-32.2	32.2	100	84.6377
-32.3	32.3	100	84.6377
-32.4	32.4	100	84.8174
-32.5	32.5	100	84.9275
-32.6	32.6	100	84.9275
-32.7	32.7	100	84.9275
-32.8	32.8	100	85.2174
-32.9	32.9	100	85.5072
-33.0	33.0	100	85.5072
-33.1	33.1	100	85.5072
-33.2	33.2	100	85.5072
-33.3	33.3	100	85.5072
-33.4	33.4	100	85.5072
-33.5	33.5	100	85.5072
-33.6	33.6	100	85.5072
-33.7	33.7	100	85.5072
-33.8	33.8	100	85.5072
-33.9	33.9	100	85.5072
-34.0	34.0	100	85.5072
-34.1	34.1	100	85.6391
-34.2	34.2	100	85.7971
-34.3	34.3	100	85.7971
-34.4	34.4	100	86.087
-34.5	34.5	100	86.087
-34.6	34.6	100	86.087
-34.7	34.7	100	86.087
-34.8	34.8	100	86.3014
-34.9	34.9	100	86.6667
-35.0	35.0	100	86.6667
-35.1	35.1	100	86.958
-35.2	35.2	100	87.2464
-35.3	35.3	100	87.2464
-35.4	35.4	100	87.2464
-35.5	35.5	100	87.2464
-35.6	35.6	100	87.2464
-35.7	35.7	100	87.2464
-35.8	35.8	100	87.2464
-35.9	35.9	100	87.2464
-36.0	36.0	100	87.2464
-36.1	36.1	100	87.2464
-36.2	36.2	100	87.2464
-36.3	36.3	100	87.2464
-36.4	36.4	100	87.2464
-36.5	36.5	100	87.413
-36.6	36.6	100	87.5362
-36.7	36.7	100	87.5362
-36.8	36.8	100	87.5362
-36.9	36.9	100	87.5362
-37.0	37.0	100	87.5362
-37.1	37.1	100	87.5362
-37.2	37.2	100	87.5362
-37.3	37.3	100	87.5362
-37.4	37.4	100	87.5362
-37.5	37.5	100	87.5362
-37.6	37.6	100	87.5362
-37.7	37.7	100	87.5362
-37.8	37.8	100	87.8261
-37.9	37.9	100	87.8261
-38.0	38.0	100	87.8261
-38.1	38.1	100	87.8261
-38.2	38.2	100	87.8261
-38.3	38.3	100	87.8261
-38.4	38.4	100	87.8261
-38.5	38.5	100	87.8261
-38.6	38.6	100	87.8261
-38.7	38.7	100	88.1696
-38.8	38.8	100	88.4058
-38.9	38.9	100	88.4058
-39.0	39.0	100	88.4058
-39.1	39.1	100	88.4058
-39.2	39.2	100	88.6957
-39.3	39.3	100	88.9855
-39.4	39.4	100	89.1217
-39.5	39.5	100	89.2754
-39.6	39.6	100	89.2754
-39.7	39.7	100	89.5652
-39.8	39.8	100	89.5652
-39.9	39.9	100	89.5652
-40.0	40.0	100	89.5652
-40.1	40.1	100	89.5652
-40.2	40.2	100	89.5652
-40.3	40.3	100	89.5652
-40.4	40.4	100	89.5652
-40.5	40.5	100	89.5652
-40.6	40.6	100	89.5652
-40.7	40.7	100	89.5652
-40.8	40.8	100	89.5652
-40.9	40.9	100	89.7957
-41.0	41.0	100	90.1449
-41.1	41.1	100	90.1449
-41.2	41.2	100	90.1449
-41.3	41.3	100	90.4348
-41.4	41.4	100	90.4348
-41.5	41.5	100	90.4348
-41.6	41.6	100	90.4348
-41.7	41.7	100	90.6768
-41.8	41.8	100	90.7246
-41.9	41.9	100	90.7246
-42.0	42.0	100	90.7246
-42.1	42.1	100	90.7246
-42.2	42.2	100	90.9014
-42.3	42.3	100	91.0145
-42.4	42.4	100	91.0145
-42.5	42.5	100	91.0145
-42.6	42.6	100	91.0145
-42.7	42.7	100	91.0145
-42.8	42.8	100	91.0145
-42.9	42.9	100	91.0145
-43.0	43.0	100	91.3043
-43.1	43.1	100	91.3043
-43.2	43.2	100	91.3043
-43.3	43.3	100	91.3043
-43.4	43.4	100	91.3043
-43.5	43.5	100	91.5942
-43.6	43.6	100	91.5942
-43.7	43.7	100	91.5942
-43.8	43.8	100	91.5942
-43.9	43.9	100	91.5942
-44.0	44.0	100	91.5942
-44.1	44.1	100	91.5942
-44.2	44.2	100	91.5942
-44.3	44.3	100	91.5942
-44.4	44.4	100	91.5942
-44.5	44.5	100	91.5942
-44.6	44.6	100	91.5942
-44.7	44.7	100	91.5942
-44.8	44.8	100	91.5942
-44.9	44.9	100	91.5942
-45.0	45.0	100	91.5942
-45.1	45.1	100	91.5942
-45.2	45.2	100	91.5942
-45.3	45.3	100	91.5942
-45.4	45.4	100	91.5942
-45.5	45.5	100	91.5942
-45.6	45.6	100	91.5942
-45.7	45.7	100	91.5942
-45.8	45.8	100	91.5942
-45.9	45.9	100	91.5942
-46.0	46.0	100	91.6812
-46.1	46.1	100	91.8841
-46.2	46.2	100	91.8841
-46.3	46.3	100	91.8841
-46.4	46.4	100	91.8841
-46.5	46.5	100	91.8841
-46.6	46.6	100	91.8841
-46.7	46.7	100	91.8841
-46.8	46.8	100	91.8841
-46.9	46.9	100	92.1739
-47.0	47.0	100	92.1739
-47.1	47.1	100	92.1739
-47.2	47.2	100	92.1739
-47.3	47.3	100	92.1739
-47.4	47.4	100	92.1739
-47.5	47.5	100	92.1739
-47.6	47.6	100	92.1739
-47.7	47.7	100	92.1739
-47.8	47.8	100	92.1739
-47.9	47.9	100	92.1739
-48.0	48.0	100	92.1739
-48.1	48.1	100	92.1739
-48.2	48.2	100	92.1739
-48.3	48.3	100	92.1739
-48.4	48.4	100	92.1739
-48.5	48.5	100	92.1739
-48.6	48.6	100	92.1739
-48.7	48.7	100	92.1739
-48.8	48.8	100	92.4638
-48.9	48.9	100	92.4638
-49.0	49.0	100	92.7536
-49.1	49.1	100	92.7536
-49.2	49.2	100	92.7536
-49.3	49.3	100	92.7536
-49.4	49.4	100	92.7536
-49.5	49.5	100	93.0435
-49.6	49.6	100	93.0435
-49.7	49.7	100	93.0435
-49.8	49.8	100	93.0435
-49.9	49.9	100	93.0435
-50.0	50.0	100	93.0435
-50.1	50.1	100	93.0435
-50.2	50.2	100	93.0435
-50.3	50.3	100	93.0435
-50.4	50.4	100	93.0435
-50.5	50.5	100	93.0435
-50.6	50.6	100	93.0435
-50.7	50.7	100	93.0435
-50.8	50.8	100	93.3333
-50.9	50.9	100	93.6232
-51.0	51.0	100	93.6232
-51.1	51.1	100	93.6232
-51.2	51.2	100	93.6232
-51.3	51.3	100	93.6232
-51.4	51.4	100	93.6232
-51.5	51.5	100	93.6232
-51.6	51.6	100	93.7913
-51.7	51.7	100	93.913
-51.8	51.8	100	93.913
-51.9	51.9	100	94.2029
-52.0	52.0	100	94.2029
-52.1	52.1	100	94.2029
-52.2	52.2	100	94.2029
-52.3	52.3	100	94.2029
-52.4	52.4	100	94.2029
-52.5	52.5	100	94.2029
-52.6	52.6	100	94.2029
-52.7	52.7	100	94.2029
-52.8	52.8	100	94.2029
-52.9	52.9	100	94.2029
-53.0	53.0	100	94.2029
-53.1	53.1	100	94.2029
-53.2	53.2	100	94.2029
-53.3	53.3	100	94.2029
-53.4	53.4	100	94.2029
-53.5	53.5	100	94.2029
-53.6	53.6	100	94.2029
-53.7	53.7	100	94.2029
-53.8	53.8	100	94.2029
-53.9	53.9	100	94.2029
-54.0	54.0	100	94.2029
-54.1	54.1	100	94.2029
-54.2	54.2	100	94.2029
-54.3	54.3	100	94.2029
-54.4	54.4	100	94.4928
-54.5	54.5	100	94.4928
-54.6	54.6	100	94.4928
-54.7	54.7	100	94.4928
-54.8	54.8	100	94.4928
-54.9	54.9	100	94.4928
-55.0	55.0	100	94.4928
-55.1	55.1	100	94.4928
-55.2	55.2	100	94.4928
-55.3	55.3	100	94.4928
-55.4	55.4	100	94.4928
-55.5	55.5	100	94.4928
-55.6	55.6	100	94.4928
-55.7	55.7	100	94.4928
-55.8	55.8	100	94.4928
-55.9	55.9	100	94.4928
-56.0	56.0	100	94.4928
-56.1	56.1	100	94.4928
-56.2	56.2	100	94.4928
-56.3	56.3	100	94.4928
-56.4	56.4	100	94.7826
-56.5	56.5	100	94.7826
-56.6	56.6	100	94.8783
-56.7	56.7	100	95.0725
-56.8	56.8	100	95.0725
-56.9	56.9	100	95.0725
-57.0	57.0	100	95.0725
-57.1	57.1	100	95.0725
-57.2	57.2	100	95.0725
-57.3	57.3	100	95.0725
-57.4	57.4	100	95.0725
-57.5	57.5	100	95.0725
-57.6	57.6	100	95.0725
-57.7	57.7	100	95.0725
-57.8	57.8	100	95.0725
-57.9	57.9	100	95.0725
-58.0	58.0	100	95.0725
-58.1	58.1	100	95.0725
-58.2	58.2	100	95.0725
-58.3	58.3	100	95.3623
-58.4	58.4	100	95.3623
-58.5	58.5	100	95.3623
-58.6	58.6	100	95.6522
-58.7	58.7	100	95.6522
-58.8	58.8	100	95.6522
-58.9	58.9	100	95.6522
-59.0	59.0	100	95.6522
-59.1	59.1	100	95.6522
-59.2	59.2	100	95.9304
-59.3	59.3	100	95.942
-59.4	59.4	100	95.942
-59.5	59.5	100	95.942
-59.6	59.6	100	95.942
-59.7	59.7	100	95.942
-59.8	59.8	100	95.942
-59.9	59.9	100	95.942
-60.0	60.0	100	95.942
-60.1	60.1	100	95.942
-60.2	60.2	100	95.942
-60.3	60.3	100	95.942
-60.4	60.4	100	95.942
-60.5	60.5	100	95.942
-60.6	60.6	100	95.942
-60.7	60.7	100	95.942
-60.8	60.8	100	95.942
-60.9	60.9	100	95.942
-61.0	61.0	100	95.942
-61.1	61.1	100	95.942
-61.2	61.2	100	95.942
-61.3	61.3	100	95.942
-61.4	61.4	100	95.942
-61.5	61.5	100	95.942
-61.6	61.6	100	95.942
-61.7	61.7	100	95.942
-61.8	61.8	100	95.942
-61.9	61.9	100	95.942
-62.0	62.0	100	95.942
-62.1	62.1	100	95.942
-62.2	62.2	100	95.942
-62.3	62.3	100	95.942
-62.4	62.4	100	95.942
-62.5	62.5	100	95.942
-62.6	62.6	100	95.942
-62.7	62.7	100	95.942
-62.8	62.8	100	95.942
-62.9	62.9	100	95.942
-63.0	63.0	100	95.942
-63.1	63.1	100	95.942
-63.2	63.2	100	95.942
-63.3	63.3	100	95.942
-63.4	63.4	100	95.942
-63.5	63.5	100	95.942
-63.6	63.6	100	95.942
-63.7	63.7	100	95.942
-63.8	63.8	100	95.942
-63.9	63.9	100	95.942
-64.0	64.0	100	95.942
-64.1	64.1	100	96.2188
-64.2	64.2	100	96.5217
-64.3	64.3	100	96.5217
-64.4	64.4	100	96.5217
-64.5	64.5	100	96.8116
-64.6	64.6	100	96.8116
-64.7	64.7	100	96.8116
-64.8	64.8	100	96.8116
-64.9	64.9	100	96.8116
-65.0	65.0	100	96.8116
-65.1	65.1	100	96.8116
-65.2	65.2	100	96.887
-65.3	65.3	100	97.1014
-65.4	65.4	100	97.1014
-65.5	65.5	100	97.1014
-65.6	65.6	100	97.1014
-65.7	65.7	100	97.1014
-65.8	65.8	100	97.1014
-65.9	65.9	100	97.1014
-66.0	66.0	100	97.1014
-66.1	66.1	100	97.1014
-66.2	66.2	100	97.1014
-66.3	66.3	100	97.1014
-66.4	66.4	100	97.1014
-66.5	66.5	100	97.3913
-66.6	66.6	100	97.3913
-66.7	66.7	100	97.3913
-66.8	66.8	100	97.3913
-66.9	66.9	100	97.3913
-67.0	67.0	100	97.3913
-67.1	67.1	100	97.3913
-67.2	67.2	100	97.4957
-67.3	67.3	100	97.6812
-67.4	67.4	100	97.6812
-67.5	67.5	100	97.6812
-67.6	67.6	100	97.6812
-67.7	67.7	100	97.6812
-67.8	67.8	100	97.6812
-67.9	67.9	100	97.6812
-68.0	68.0	100	97.6812
-68.1	68.1	100	97.6812
-68.2	68.2	100	97.6812
-68.3	68.3	100	97.6812
-68.4	68.4	100	97.6812
-68.5	68.5	100	97.6812
-68.6	68.6	100	97.6812
-68.7	68.7	100	97.6812
-68.8	68.8	100	97.6812
-68.9	68.9	100	97.6812
-69.0	69.0	100	97.6812
-69.1	69.1	100	97.6812
-69.2	69.2	100	97.6812
-69.3	69.3	100	97.7435
-69.4	69.4	100	97.971
-69.5	69.5	100	97.971
-69.6	69.6	100	97.971
-69.7	69.7	100	97.971
-69.8	69.8	100	97.971
-69.9	69.9	100	97.971
-70.0	70.0	100	97.971
-70.1	70.1	100	97.971
-70.2	70.2	100	97.971
-70.3	70.3	100	97.971
-70.4	70.4	100	97.971
-70.5	70.5	100	97.971
-70.6	70.6	100	97.971
-70.7	70.7	100	97.971
-70.8	70.8	100	97.971
-70.9	70.9	100	97.971
-71.0	71.0	100	97.971
-71.1	71.1	100	97.971
-71.2	71.2	100	97.971
-71.3	71.3	100	97.971
-71.4	71.4	100	97.971
-71.5	71.5	100	97.971
-71.6	71.6	100	97.971
-71.7	71.7	100	97.971
-71.8	71.8	100	97.971
-71.9	71.9	100	97.971
-72.0	72.0	100	97.971
-72.1	72.1	100	97.971
-72.2	72.2	100	97.971
-72.3	72.3	100	97.971
-72.4	72.4	100	97.971
-72.5	72.5	100	97.971
-72.6	72.6	100	97.971
-72.7	72.7	100	97.971
-72.8	72.8	100	97.971
-72.9	72.9	100	97.971
-73.0	73.0	100	97.971
-73.1	73.1	100	97.971
-73.2	73.2	100	97.971
-73.3	73.3	100	97.971
-73.4	73.4	100	97.971
-73.5	73.5	100	97.971
-73.6	73.6	100	97.971
-73.7	73.7	100	97.971
-73.8	73.8	100	97.971
-73.9	73.9	100	97.971
-74.0	74.0	100	97.971
-74.1	74.1	100	97.971
-74.2	74.2	100	97.971
-74.3	74.3	100	97.971
-74.4	74.4	100	97.971
-74.5	74.5	100	97.971
-74.6	74.6	100	97.971
-74.7	74.7	100	97.971
-74.8	74.8	100	98.1855
-74.9	74.9	100	98.2609
-75.0	75.0	100	98.2609
-75.1	75.1	100	98.2609
-75.2	75.2	100	98.2609
-75.3	75.3	100	98.2609
-75.4	75.4	100	98.2609
-75.5	75.5	100	98.2609
-75.6	75.6	100	98.2609
-75.7	75.7	100	98.2609
-75.8	75.8	100	98.2609
-75.9	75.9	100	98.5507
-76.0	76.0	100	98.5507
-76.1	76.1	100	98.5507
-76.2	76.2	100	98.5507
-76.3	76.3	100	98.5507
-76.4	76.4	100	98.5507
-76.5	76.5	100	98.5507
-76.6	76.6	100	98.5507
-76.7	76.7	100	98.5507
-76.8	76.8	100	98.5507
-76.9	76.9	100	98.5507
-77.0	77.0	100	98.5507
-77.1	77.1	100	98.5507
-77.2	77.2	100	98.5507
-77.3	77.3	100	98.5507
-77.4	77.4	100	98.5507
-77.5	77.5	100	98.5507
-77.6	77.6	100	99.0957
-77.7	77.7	100	99.1304
-77.8	77.8	100	99.1304
-77.9	77.9	100	99.1304
-78.0	78.0	100	99.1304
-78.1	78.1	100	99.1304
-78.2	78.2	100	99.1304
-78.3	78.3	100	99.1304
-78.4	78.4	100	99.1304
-78.5	78.5	100	99.1304
-78.6	78.6	100	99.1304
-78.7	78.7	100	99.1304
-78.8	78.8	100	99.1304
-78.9	78.9	100	99.1304
-79.0	79.0	100	99.1304
-79.1	79.1	100	99.1304
-79.2	79.2	100	99.1304
-79.3	79.3	100	99.1304
-79.4	79.4	100	99.1304
-79.5	79.5	100	99.1304
-79.6	79.6	100	99.1304
-79.7	79.7	100	99.1304
-79.8	79.8	100	99.1304
-79.9	79.9	100	99.1304
-80.0	80.0	100	99.1304
-80.1	80.1	100	99.1304
-80.2	80.2	100	99.1304
-80.3	80.3	100	99.1304
-80.4	80.4	100	99.1304
-80.5	80.5	100	99.1304
-80.6	80.6	100	99.1304
-80.7	80.7	100	99.1304
-80.8	80.8	100	99.1304
-80.9	80.9	100	99.1304
-81.0	81.0	100	99.1304
-81.1	81.1	100	99.1304
-81.2	81.2	100	99.1304
-81.3	81.3	100	99.1304
-81.4	81.4	100	99.1304
-81.5	81.5	100	99.1304
-81.6	81.6	100	99.1304
-81.7	81.7	100	99.1304
-81.8	81.8	100	99.1304
-81.9	81.9	100	99.4203
-82.0	82.0	100	99.4203
-82.1	82.1	100	99.4203
-82.2	82.2	100	99.4203
-82.3	82.3	100	99.4203
-82.4	82.4	100	99.4203
-82.5	82.5	100	99.4203
-82.6	82.6	100	99.4203
-82.7	82.7	100	99.4203
-82.8	82.8	100	99.4203
-82.9	82.9	100	99.4203
-83.0	83.0	100	99.4203
-83.1	83.1	100	99.4203
-83.2	83.2	100	99.4203
-83.3	83.3	100	99.4203
-83.4	83.4	100	99.4203
-83.5	83.5	100	99.4203
-83.6	83.6	100	99.4203
-83.7	83.7	100	99.4203
-83.8	83.8	100	99.4203
-83.9	83.9	100	99.4203
-84.0	84.0	100	99.4203
-84.1	84.1	100	99.4203
-84.2	84.2	100	99.4203
-84.3	84.3	100	99.4203
-84.4	84.4	100	99.4203
-84.5	84.5	100	99.4203
-84.6	84.6	100	99.4203
-84.7	84.7	100	99.4203
-84.8	84.8	100	99.4203
-84.9	84.9	100	99.4203
-85.0	85.0	100	99.4203
-85.1	85.1	100	99.4203
-85.2	85.2	100	99.4203
-85.3	85.3	100	99.4203
-85.4	85.4	100	99.4203
-85.5	85.5	100	99.4203
-85.6	85.6	100	99.4203
-85.7	85.7	100	99.4203
-85.8	85.8	100	99.4203
-85.9	85.9	100	99.4203
-86.0	86.0	100	99.4203
-86.1	86.1	100	99.4203
-86.2	86.2	100	99.4203
-86.3	86.3	100	99.4203
-86.4	86.4	100	99.4203
-86.5	86.5	100	99.4203
-86.6	86.6	100	99.4203
-86.7	86.7	100	99.4203
-86.8	86.8	100	99.4203
-86.9	86.9	100	99.4203
-87.0	87.0	100	99.4203
-87.1	87.1	100	99.4203
-87.2	87.2	100	99.4203
-87.3	87.3	100	99.4203
-87.4	87.4	100	99.4203
-87.5	87.5	100	99.4203
-87.6	87.6	100	99.4203
-87.7	87.7	100	99.4203
-87.8	87.8	100	99.4203
-87.9	87.9	100	99.4203
-88.0	88.0	100	99.4203
-88.1	88.1	100	99.4203
-88.2	88.2	100	99.4203
-88.3	88.3	100	99.4203
-88.4	88.4	100	99.4203
-88.5	88.5	100	99.4203
-88.6	88.6	100	99.4203
-88.7	88.7	100	99.4203
-88.8	88.8	100	99.4203
-88.9	88.9	100	99.4203
-89.0	89.0	100	99.4203
-89.1	89.1	100	99.4203
-89.2	89.2	100	99.4203
-89.3	89.3	100	99.7101
-89.4	89.4	100	99.7101
-89.5	89.5	100	99.7101
-89.6	89.6	100	99.7101
-89.7	89.7	100	99.7101
-89.8	89.8	100	99.7101
-89.9	89.9	100	99.7101
-90.0	90.0	100	99.7101
-90.1	90.1	100	99.7101
-90.2	90.2	100	99.7101
-90.3	90.3	100	99.7101
-90.4	90.4	100	99.7101
-90.5	90.5	100	99.7101
-90.6	90.6	100	99.7101
-90.7	90.7	100	99.7101
-90.8	90.8	100	99.7101
-90.9	90.9	100	99.7101
-91.0	91.0	100	99.7101
-91.1	91.1	100	99.7101
-91.2	91.2	100	99.7101
-91.3	91.3	100	99.7101
-91.4	91.4	100	99.7101
-91.5	91.5	100	99.7101
-91.6	91.6	100	99.7101
-91.7	91.7	100	99.7101
-91.8	91.8	100	99.7101
-91.9	91.9	100	99.7101
-92.0	92.0	100	99.7101
-92.1	92.1	100	99.7101
-92.2	92.2	100	99.7101
-92.3	92.3	100	99.7101
-92.4	92.4	100	99.7101
-92.5	92.5	100	99.7101
-92.6	92.6	100	99.7101
-92.7	92.7	100	99.7101
-92.8	92.8	100	99.7101
-92.9	92.9	100	99.7101
-93.0	93.0	100	99.7101
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Deft2017
-Database	../../../TextDatasets/Deft2017/Deft2017.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	1151
-Learning task	Classification analysis
-Target variable	CLASS
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.628149	0.254932	0.821357
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	mixed	negative	objective	positive
-$mixed	0	0	0	0
-$negative	105	268	75	61
-$objective	42	72	391	24
-$positive	17	18	14	64
-
-Lift curves	mixed
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.701829	0.701829
-0.2	0.2	1.40366	1.21951
-0.3	0.3	2.10549	1.21951
-0.4	0.4	2.80732	1.21951
-0.5	0.5	3.50915	1.67988
-0.6	0.6	4.21098	1.82927
-0.7	0.7	4.9128	2.43902
-0.8	0.8	5.61463	2.43902
-0.9	0.9	6.31646	2.43902
-1.0	1.0	7.01829	2.75
-1.1	1.1	7.72012	3.04878
-1.2	1.2	8.42195	3.04878
-1.3	1.3	9.12378	3.04878
-1.4	1.4	9.82561	3.11829
-1.5	1.5	10.5274	3.65854
-1.6	1.6	11.2293	3.65854
-1.7	1.7	11.9311	3.65854
-1.8	1.8	12.6329	4.09634
-1.9	1.9	13.3348	4.79817
-2.0	2.0	14.0366	4.87805
-2.1	2.1	14.7384	4.98232
-2.2	2.2	15.4402	5.4878
-2.3	2.3	16.1421	5.4878
-2.4	2.4	16.8439	5.4878
-2.5	2.5	17.5457	5.96037
-2.6	2.6	18.2476	6.09756
-2.7	2.7	18.9494	6.09756
-2.8	2.8	19.6512	6.23659
-2.9	2.9	20.353	6.70732
-3.0	3.0	21.0549	6.70732
-3.1	3.1	21.7567	6.70732
-3.2	3.2	22.4585	6.70732
-3.3	3.3	23.1604	6.70732
-3.4	3.4	23.8622	6.70732
-3.5	3.5	24.564	6.70732
-3.6	3.6	25.2659	6.70732
-3.7	3.7	25.9677	6.70732
-3.8	3.8	26.6695	6.70732
-3.9	3.9	27.3713	6.70732
-4.0	4.0	28.0732	6.70732
-4.1	4.1	28.775	6.70732
-4.2	4.2	29.4768	6.70732
-4.3	4.3	30.1787	6.70732
-4.4	4.4	30.8805	6.70732
-4.5	4.5	31.5823	6.70732
-4.6	4.6	32.2841	6.70732
-4.7	4.7	32.986	6.70732
-4.8	4.8	33.6878	6.85854
-4.9	4.9	34.3896	7.31707
-5.0	5.0	35.0915	7.65244
-5.1	5.1	35.7933	7.92683
-5.2	5.2	36.4951	8.44634
-5.3	5.3	37.197	8.53659
-5.4	5.4	37.8988	8.53659
-5.5	5.5	38.6006	8.72256
-5.6	5.6	39.3024	9.14634
-5.7	5.7	40.0043	9.14634
-5.8	5.8	40.7061	9.60854
-5.9	5.9	41.4079	9.7561
-6.0	6.0	42.1098	10.3659
-6.1	6.1	42.8116	10.3659
-6.2	6.2	43.5134	10.5866
-6.3	6.3	44.2152	10.9756
-6.4	6.4	44.9171	10.9756
-6.5	6.5	45.6189	10.9756
-6.6	6.6	46.3207	10.9756
-6.7	6.7	47.0226	10.9756
-6.8	6.8	47.7244	10.9756
-6.9	6.9	48.4262	10.9756
-7.0	7.0	49.128	11.3232
-7.1	7.1	49.8299	12.025
-7.2	7.2	50.5317	12.7268
-7.3	7.3	51.2335	12.8189
-7.4	7.4	51.9354	13.4146
-7.5	7.5	52.6372	13.6128
-7.6	7.6	53.339	14.3146
-7.7	7.7	54.0409	14.6341
-7.8	7.8	54.7427	15.1085
-7.9	7.9	55.4445	15.2439
-8.0	8.0	56.1463	15.2439
-8.1	8.1	56.8482	15.2439
-8.2	8.2	57.55	15.2439
-8.3	8.3	58.2518	15.2439
-8.4	8.4	58.9537	15.2439
-8.5	8.5	59.6555	15.2439
-8.6	8.6	60.3573	15.2439
-8.7	8.7	61.0591	15.2439
-8.8	8.8	61.761	15.2439
-8.9	8.9	62.4628	15.2439
-9.0	9.0	63.1646	15.2439
-9.1	9.1	63.8665	15.6957
-9.2	9.2	64.5683	15.8537
-9.3	9.3	65.2701	15.8537
-9.4	9.4	65.972	15.8537
-9.5	9.5	66.6738	15.8537
-9.6	9.6	67.3756	15.8537
-9.7	9.7	68.0774	16.2482
-9.8	9.8	68.7793	16.4634
-9.9	9.9	69.4811	16.4634
-10.0	10.0	70.1829	17.0732
-10.1	10.1	70.8848	17.0732
-10.2	10.2	71.5866	17.0732
-10.3	10.3	72.2884	17.0732
-10.4	10.4	72.9902	17.0732
-10.5	10.5	73.6921	17.0732
-10.6	10.6	74.3939	17.0732
-10.7	10.7	75.0957	17.0732
-10.8	10.8	75.7976	17.0732
-10.9	10.9	76.4994	17.0732
-11.0	11.0	77.2012	17.0732
-11.1	11.1	77.903	17.5372
-11.2	11.2	78.6049	18.239
-11.3	11.3	79.3067	18.9409
-11.4	11.4	80.0085	19.6427
-11.5	11.5	80.7104	20.122
-11.6	11.6	81.4122	20.122
-11.7	11.7	82.114	20.5287
-11.8	11.8	82.8159	20.7317
-11.9	11.9	83.5177	21.3226
-12.0	12.0	84.2195	21.3415
-12.1	12.1	84.9213	21.3415
-12.2	12.2	85.6232	21.3415
-12.3	12.3	86.325	21.6909
-12.4	12.4	87.0268	21.9512
-12.5	12.5	87.7287	21.9512
-12.6	12.6	88.4305	21.9671
-12.7	12.7	89.1323	22.561
-12.8	12.8	89.8341	22.561
-12.9	12.9	90.536	22.561
-13.0	13.0	91.2378	22.561
-13.1	13.1	91.9396	22.561
-13.2	13.2	92.6415	22.561
-13.3	13.3	93.3433	22.561
-13.4	13.4	94.0451	22.561
-13.5	13.5	94.747	22.561
-13.6	13.6	95.4488	22.561
-13.7	13.7	96.1506	22.9799
-13.8	13.8	96.8524	23.1707
-13.9	13.9	97.5543	23.7738
-14.0	14.0	98.2561	24.3902
-14.1	14.1	98.9579	24.3902
-14.2	14.2	99.6598	24.3902
-14.3	14.3	100	24.3902
-14.4	14.4	100	24.3902
-14.5	14.5	100	24.936
-14.6	14.6	100	25
-14.7	14.7	100	25
-14.8	14.8	100	25
-14.9	14.9	100	25
-15.0	15.0	100	25
-15.1	15.1	100	25
-15.2	15.2	100	25.5805
-15.3	15.3	100	25.6098
-15.4	15.4	100	25.7646
-15.5	15.5	100	26.2195
-15.6	15.6	100	26.2195
-15.7	15.7	100	26.2195
-15.8	15.8	100	26.2195
-15.9	15.9	100	26.8293
-16.0	16.0	100	26.8293
-16.1	16.1	100	26.8293
-16.2	16.2	100	26.8293
-16.3	16.3	100	26.8293
-16.4	16.4	100	26.8293
-16.5	16.5	100	26.8293
-16.6	16.6	100	26.8293
-16.7	16.7	100	26.8293
-16.8	16.8	100	27.0537
-16.9	16.9	100	27.7555
-17.0	17.0	100	28.0488
-17.1	17.1	100	28.5494
-17.2	17.2	100	28.6585
-17.3	17.3	100	28.6585
-17.4	17.4	100	28.6585
-17.5	17.5	100	28.9177
-17.6	17.6	100	29.6195
-17.7	17.7	100	29.878
-17.8	17.8	100	29.878
-17.9	17.9	100	29.878
-18.0	18.0	100	29.878
-18.1	18.1	100	29.878
-18.2	18.2	100	29.878
-18.3	18.3	100	30.264
-18.4	18.4	100	30.4878
-18.5	18.5	100	30.4878
-18.6	18.6	100	30.5402
-18.7	18.7	100	31.0976
-18.8	18.8	100	31.0976
-18.9	18.9	100	31.0976
-19.0	19.0	100	31.0976
-19.1	19.1	100	31.0976
-19.2	19.2	100	31.7024
-19.3	19.3	100	31.7945
-19.4	19.4	100	32.3171
-19.5	19.5	100	32.3171
-19.6	19.6	100	32.3171
-19.7	19.7	100	32.3171
-19.8	19.8	100	32.8646
-19.9	19.9	100	32.9268
-20.0	20.0	100	33.0488
-20.1	20.1	100	33.5366
-20.2	20.2	100	33.5366
-20.3	20.3	100	33.9348
-20.4	20.4	100	34.6366
-20.5	20.5	100	34.7561
-20.6	20.6	100	35.3659
-20.7	20.7	100	35.5226
-20.8	20.8	100	35.9756
-20.9	20.9	100	35.9756
-21.0	21.0	100	35.9756
-21.1	21.1	100	35.9756
-21.2	21.2	100	35.9756
-21.3	21.3	100	35.9756
-21.4	21.4	100	36.1671
-21.5	21.5	100	36.5854
-21.6	21.6	100	36.5854
-21.7	21.7	100	36.5854
-21.8	21.8	100	36.5854
-21.9	21.9	100	36.5854
-22.0	22.0	100	36.7195
-22.1	22.1	100	37.1951
-22.2	22.2	100	37.1951
-22.3	22.3	100	37.1951
-22.4	22.4	100	37.1951
-22.5	22.5	100	37.7896
-22.6	22.6	100	37.8049
-22.7	22.7	100	37.8049
-22.8	22.8	100	37.8049
-22.9	22.9	100	38.1579
-23.0	23.0	100	38.4146
-23.1	23.1	100	38.9518
-23.2	23.2	100	39.0244
-23.3	23.3	100	39.136
-23.4	23.4	100	39.6341
-23.5	23.5	100	39.6341
-23.6	23.6	100	40.022
-23.7	23.7	100	40.2439
-23.8	23.8	100	40.8159
-23.9	23.9	100	40.8537
-24.0	24.0	100	40.8537
-24.1	24.1	100	40.8537
-24.2	24.2	100	40.8537
-24.3	24.3	100	40.8537
-24.4	24.4	100	40.8537
-24.5	24.5	100	41.4604
-24.6	24.6	100	41.4634
-24.7	24.7	100	41.4634
-24.8	24.8	100	41.4634
-24.9	24.9	100	41.4634
-25.0	25.0	100	41.4634
-25.1	25.1	100	41.4634
-25.2	25.2	100	41.4634
-25.3	25.3	100	41.4634
-25.4	25.4	100	41.4634
-25.5	25.5	100	41.4634
-25.6	25.6	100	41.4634
-25.7	25.7	100	41.4634
-25.8	25.8	100	41.4634
-25.9	25.9	100	41.4634
-26.0	26.0	100	41.4634
-26.1	26.1	100	41.4634
-26.2	26.2	100	41.4634
-26.3	26.3	100	41.4634
-26.4	26.4	100	41.4634
-26.5	26.5	100	41.4726
-26.6	26.6	100	42.0732
-26.7	26.7	100	42.0732
-26.8	26.8	100	42.0732
-26.9	26.9	100	42.0732
-27.0	27.0	100	42.0732
-27.1	27.1	100	42.0732
-27.2	27.2	100	42.0732
-27.3	27.3	100	42.0732
-27.4	27.4	100	42.0732
-27.5	27.5	100	42.0732
-27.6	27.6	100	42.0732
-27.7	27.7	100	42.0732
-27.8	27.8	100	42.0732
-27.9	27.9	100	42.0732
-28.0	28.0	100	42.0732
-28.1	28.1	100	42.0732
-28.2	28.2	100	42.0732
-28.3	28.3	100	42.5201
-28.4	28.4	100	42.6829
-28.5	28.5	100	43.2927
-28.6	28.6	100	43.2927
-28.7	28.7	100	43.2927
-28.8	28.8	100	43.2927
-28.9	28.9	100	43.2927
-29.0	29.0	100	43.2927
-29.1	29.1	100	43.8665
-29.2	29.2	100	44.5122
-29.3	29.3	100	44.5122
-29.4	29.4	100	44.5122
-29.5	29.5	100	44.8445
-29.6	29.6	100	45.122
-29.7	29.7	100	45.122
-29.8	29.8	100	45.122
-29.9	29.9	100	45.2128
-30.0	30.0	100	45.9146
-30.1	30.1	100	46.3415
-30.2	30.2	100	46.3415
-30.3	30.3	100	46.3415
-30.4	30.4	100	46.3415
-30.5	30.5	100	46.375
-30.6	30.6	100	47.0768
-30.7	30.7	100	47.561
-30.8	30.8	100	47.561
-30.9	30.9	100	47.561
-31.0	31.0	100	47.561
-31.1	31.1	100	48.147
-31.2	31.2	100	48.1707
-31.3	31.3	100	48.1707
-31.4	31.4	100	48.1707
-31.5	31.5	100	48.5152
-31.6	31.6	100	48.7805
-31.7	31.7	100	48.7805
-31.8	31.8	100	48.7805
-31.9	31.9	100	48.7805
-32.0	32.0	100	48.7805
-32.1	32.1	100	48.7805
-32.2	32.2	100	49.1598
-32.3	32.3	100	49.3902
-32.4	32.4	100	49.3902
-32.5	32.5	100	49.3902
-32.6	32.6	100	49.3902
-32.7	32.7	100	49.3902
-32.8	32.8	100	49.3902
-32.9	32.9	100	49.3902
-33.0	33.0	100	49.3902
-33.1	33.1	100	49.3902
-33.2	33.2	100	49.3902
-33.3	33.3	100	49.3902
-33.4	33.4	100	49.6549
-33.5	33.5	100	50
-33.6	33.6	100	50
-33.7	33.7	100	50
-33.8	33.8	100	50
-33.9	33.9	100	50
-34.0	34.0	100	50
-34.1	34.1	100	50
-34.2	34.2	100	50.3915
-34.3	34.3	100	51.0933
-34.4	34.4	100	51.7951
-34.5	34.5	100	51.8293
-34.6	34.6	100	51.8293
-34.7	34.7	100	52.0713
-34.8	34.8	100	52.439
-34.9	34.9	100	52.439
-35.0	35.0	100	52.9573
-35.1	35.1	100	53.6585
-35.2	35.2	100	53.7512
-35.3	35.3	100	54.2683
-35.4	35.4	100	54.2683
-35.5	35.5	100	54.2683
-35.6	35.6	100	54.7293
-35.7	35.7	100	54.878
-35.8	35.8	100	54.878
-35.9	35.9	100	54.878
-36.0	36.0	100	54.878
-36.1	36.1	100	54.878
-36.2	36.2	100	54.878
-36.3	36.3	100	54.878
-36.4	36.4	100	54.878
-36.5	36.5	100	54.9482
-36.6	36.6	100	55.4878
-36.7	36.7	100	55.4878
-36.8	36.8	100	55.4878
-36.9	36.9	100	55.4878
-37.0	37.0	100	55.4878
-37.1	37.1	100	56.0976
-37.2	37.2	100	56.0976
-37.3	37.3	100	56.0976
-37.4	37.4	100	56.3866
-37.5	37.5	100	57.0884
-37.6	37.6	100	57.3171
-37.7	37.7	100	57.3171
-37.8	37.8	100	57.9268
-37.9	37.9	100	57.9268
-38.0	38.0	100	58.1585
-38.1	38.1	100	58.5366
-38.2	38.2	100	58.5366
-38.3	38.3	100	58.5366
-38.4	38.4	100	58.5366
-38.5	38.5	100	58.5366
-38.6	38.6	100	58.5366
-38.7	38.7	100	58.5366
-38.8	38.8	100	58.5366
-38.9	38.9	100	58.5366
-39.0	39.0	100	59.0793
-39.1	39.1	100	59.7561
-39.2	39.2	100	59.7561
-39.3	39.3	100	59.7561
-39.4	39.4	100	59.7561
-39.5	39.5	100	59.7561
-39.6	39.6	100	59.7561
-39.7	39.7	100	59.7561
-39.8	39.8	100	59.7561
-39.9	39.9	100	59.7561
-40.0	40.0	100	59.7561
-40.1	40.1	100	59.7561
-40.2	40.2	100	59.7561
-40.3	40.3	100	59.7561
-40.4	40.4	100	59.7561
-40.5	40.5	100	59.7561
-40.6	40.6	100	59.9427
-40.7	40.7	100	60.3659
-40.8	40.8	100	60.3659
-40.9	40.9	100	60.8287
-41.0	41.0	100	60.9756
-41.1	41.1	100	60.9756
-41.2	41.2	100	60.9756
-41.3	41.3	100	60.9756
-41.4	41.4	100	60.9756
-41.5	41.5	100	60.9756
-41.6	41.6	100	60.9756
-41.7	41.7	100	60.9756
-41.8	41.8	100	60.9756
-41.9	41.9	100	60.9756
-42.0	42.0	100	60.9756
-42.1	42.1	100	60.9756
-42.2	42.2	100	61.4159
-42.3	42.3	100	61.5854
-42.4	42.4	100	61.6
-42.5	42.5	100	62.1951
-42.6	42.6	100	62.1951
-42.7	42.7	100	62.1951
-42.8	42.8	100	62.578
-42.9	42.9	100	63.0424
-43.0	43.0	100	63.3933
-43.1	43.1	100	63.4146
-43.2	43.2	100	63.4146
-43.3	43.3	100	63.6482
-43.4	43.4	100	64.0244
-43.5	43.5	100	64.0244
-43.6	43.6	100	64.5341
-43.7	43.7	100	65.236
-43.8	43.8	100	65.328
-43.9	43.9	100	65.8537
-44.0	44.0	100	65.8537
-44.1	44.1	100	65.8537
-44.2	44.2	100	65.8537
-44.3	44.3	100	65.8537
-44.4	44.4	100	65.8537
-44.5	44.5	100	65.8537
-44.6	44.6	100	66.0646
-44.7	44.7	100	66.4634
-44.8	44.8	100	66.4634
-44.9	44.9	100	66.4634
-45.0	45.0	100	66.4634
-45.1	45.1	100	66.4634
-45.2	45.2	100	66.4634
-45.3	45.3	100	66.4634
-45.4	45.4	100	66.8012
-45.5	45.5	100	67.503
-45.6	45.6	100	67.6829
-45.7	45.7	100	67.6829
-45.8	45.8	100	67.6829
-45.9	45.9	100	67.6829
-46.0	46.0	100	67.9634
-46.1	46.1	100	68.2927
-46.2	46.2	100	68.7573
-46.3	46.3	100	68.9024
-46.4	46.4	100	68.9024
-46.5	46.5	100	68.9024
-46.6	46.6	100	68.9024
-46.7	46.7	100	68.9024
-46.8	46.8	100	69.3098
-46.9	46.9	100	69.5122
-47.0	47.0	100	69.5122
-47.1	47.1	100	69.5122
-47.2	47.2	100	69.5122
-47.3	47.3	100	69.5122
-47.4	47.4	100	69.5122
-47.5	47.5	100	69.5122
-47.6	47.6	100	69.5122
-47.7	47.7	100	70.122
-47.8	47.8	100	70.122
-47.9	47.9	100	70.122
-48.0	48.0	100	70.122
-48.1	48.1	100	70.5067
-48.2	48.2	100	71.2085
-48.3	48.3	100	71.3415
-48.4	48.4	100	71.3415
-48.5	48.5	100	71.3415
-48.6	48.6	100	71.3415
-48.7	48.7	100	71.3415
-48.8	48.8	100	71.3415
-48.9	48.9	100	71.3415
-49.0	49.0	100	71.3415
-49.1	49.1	100	71.3415
-49.2	49.2	100	71.3415
-49.3	49.3	100	71.6116
-49.4	49.4	100	71.9512
-49.5	49.5	100	72.4055
-49.6	49.6	100	72.561
-49.7	49.7	100	72.561
-49.8	49.8	100	72.561
-49.9	49.9	100	72.561
-50.0	50.0	100	72.561
-50.1	50.1	100	72.561
-50.2	50.2	100	73.05
-50.3	50.3	100	73.1707
-50.4	50.4	100	73.7805
-50.5	50.5	100	73.7805
-50.6	50.6	100	74.028
-50.7	50.7	100	74.7299
-50.8	50.8	100	75
-50.9	50.9	100	75
-51.0	51.0	100	75
-51.1	51.1	100	75
-51.2	51.2	100	75
-51.3	51.3	100	75
-51.4	51.4	100	75
-51.5	51.5	100	75
-51.6	51.6	100	75
-51.7	51.7	100	75
-51.8	51.8	100	75
-51.9	51.9	100	75
-52.0	52.0	100	75
-52.1	52.1	100	75
-52.2	52.2	100	75
-52.3	52.3	100	75.5933
-52.4	52.4	100	75.6854
-52.5	52.5	100	76.2195
-52.6	52.6	100	76.2195
-52.7	52.7	100	76.2195
-52.8	52.8	100	76.2195
-52.9	52.9	100	76.2195
-53.0	53.0	100	76.2195
-53.1	53.1	100	76.2195
-53.2	53.2	100	76.2195
-53.3	53.3	100	76.2195
-53.4	53.4	100	76.6061
-53.5	53.5	100	76.8293
-53.6	53.6	100	76.8293
-53.7	53.7	100	77.439
-53.8	53.8	100	77.439
-53.9	53.9	100	77.439
-54.0	54.0	100	77.439
-54.1	54.1	100	77.439
-54.2	54.2	100	77.9524
-54.3	54.3	100	78.0488
-54.4	54.4	100	78.0488
-54.5	54.5	100	78.0488
-54.6	54.6	100	78.0488
-54.7	54.7	100	78.0488
-54.8	54.8	100	78.0488
-54.9	54.9	100	78.597
-55.0	55.0	100	78.6585
-55.1	55.1	100	78.6585
-55.2	55.2	100	78.8732
-55.3	55.3	100	79.575
-55.4	55.4	100	79.878
-55.5	55.5	100	79.878
-55.6	55.6	100	80.461
-55.7	55.7	100	80.4878
-55.8	55.8	100	80.4878
-55.9	55.9	100	80.4878
-56.0	56.0	100	80.4878
-56.1	56.1	100	80.4878
-56.2	56.2	100	80.4878
-56.3	56.3	100	80.4878
-56.4	56.4	100	80.4878
-56.5	56.5	100	80.4878
-56.6	56.6	100	80.772
-56.7	56.7	100	81.0976
-56.8	56.8	100	81.0976
-56.9	56.9	100	81.0976
-57.0	57.0	100	81.0976
-57.1	57.1	100	81.0976
-57.2	57.2	100	81.0976
-57.3	57.3	100	81.0976
-57.4	57.4	100	81.0976
-57.5	57.5	100	81.0976
-57.6	57.6	100	81.0976
-57.7	57.7	100	81.0976
-57.8	57.8	100	81.0976
-57.9	57.9	100	81.0976
-58.0	58.0	100	81.0976
-58.1	58.1	100	81.0976
-58.2	58.2	100	81.0976
-58.3	58.3	100	81.0976
-58.4	58.4	100	81.0976
-58.5	58.5	100	81.0976
-58.6	58.6	100	81.0976
-58.7	58.7	100	81.486
-58.8	58.8	100	81.7073
-58.9	58.9	100	82.2799
-59.0	59.0	100	82.3171
-59.1	59.1	100	82.3171
-59.2	59.2	100	82.3171
-59.3	59.3	100	82.3171
-59.4	59.4	100	82.3171
-59.5	59.5	100	82.3171
-59.6	59.6	100	82.3171
-59.7	59.7	100	82.3171
-59.8	59.8	100	82.3171
-59.9	59.9	100	82.3171
-60.0	60.0	100	82.3171
-60.1	60.1	100	82.775
-60.2	60.2	100	82.9268
-60.3	60.3	100	82.9591
-60.4	60.4	100	83.661
-60.5	60.5	100	84.3628
-60.6	60.6	100	84.7561
-60.7	60.7	100	84.7561
-60.8	60.8	100	84.7561
-60.9	60.9	100	84.7561
-61.0	61.0	100	84.7561
-61.1	61.1	100	84.7561
-61.2	61.2	100	84.7561
-61.3	61.3	100	84.7561
-61.4	61.4	100	84.7561
-61.5	61.5	100	84.7561
-61.6	61.6	100	84.7561
-61.7	61.7	100	84.7561
-61.8	61.8	100	84.95
-61.9	61.9	100	85.3659
-62.0	62.0	100	85.3659
-62.1	62.1	100	85.3659
-62.2	62.2	100	85.3659
-62.3	62.3	100	85.3659
-62.4	62.4	100	85.5024
-62.5	62.5	100	85.9756
-62.6	62.6	100	85.9756
-62.7	62.7	100	85.9756
-62.8	62.8	100	86.4805
-62.9	62.9	100	86.5854
-63.0	63.0	100	87.2744
-63.1	63.1	100	87.8049
-63.2	63.2	100	87.8049
-63.3	63.3	100	87.8049
-63.4	63.4	100	87.8049
-63.5	63.5	100	87.8049
-63.6	63.6	100	87.8049
-63.7	63.7	100	87.8049
-63.8	63.8	100	88.011
-63.9	63.9	100	88.4146
-64.0	64.0	100	88.4146
-64.1	64.1	100	88.4146
-64.2	64.2	100	88.4146
-64.3	64.3	100	88.4146
-64.4	64.4	100	88.4146
-64.5	64.5	100	88.6555
-64.6	64.6	100	89.0244
-64.7	64.7	100	89.0244
-64.8	64.8	100	89.0244
-64.9	64.9	100	89.0244
-65.0	65.0	100	89.1159
-65.1	65.1	100	89.6341
-65.2	65.2	100	89.6341
-65.3	65.3	100	89.6341
-65.4	65.4	100	89.6341
-65.5	65.5	100	89.6341
-65.6	65.6	100	89.6341
-65.7	65.7	100	89.6341
-65.8	65.8	100	89.6341
-65.9	65.9	100	89.6341
-66.0	66.0	100	90.0366
-66.1	66.1	100	90.2439
-66.2	66.2	100	90.2439
-66.3	66.3	100	90.2439
-66.4	66.4	100	90.2439
-66.5	66.5	100	90.2439
-66.6	66.6	100	90.2439
-66.7	66.7	100	90.2439
-66.8	66.8	100	90.2439
-66.9	66.9	100	90.8652
-67.0	67.0	100	91.4634
-67.1	67.1	100	91.4634
-67.2	67.2	100	91.4634
-67.3	67.3	100	91.4634
-67.4	67.4	100	91.4634
-67.5	67.5	100	91.4634
-67.6	67.6	100	91.4634
-67.7	67.7	100	91.4634
-67.8	67.8	100	91.4634
-67.9	67.9	100	91.4634
-68.0	68.0	100	91.4634
-68.1	68.1	100	91.4634
-68.2	68.2	100	92.0622
-68.3	68.3	100	92.0732
-68.4	68.4	100	92.0732
-68.5	68.5	100	92.0732
-68.6	68.6	100	92.0732
-68.7	68.7	100	92.0732
-68.8	68.8	100	92.0732
-68.9	68.9	100	92.0732
-69.0	69.0	100	92.0732
-69.1	69.1	100	92.0732
-69.2	69.2	100	92.0732
-69.3	69.3	100	92.0732
-69.4	69.4	100	92.0732
-69.5	69.5	100	92.0732
-69.6	69.6	100	92.0732
-69.7	69.7	100	92.0732
-69.8	69.8	100	92.0732
-69.9	69.9	100	92.0732
-70.0	70.0	100	92.0732
-70.1	70.1	100	92.0732
-70.2	70.2	100	92.0732
-70.3	70.3	100	92.0732
-70.4	70.4	100	92.0732
-70.5	70.5	100	92.0732
-70.6	70.6	100	92.4427
-70.7	70.7	100	92.6829
-70.8	70.8	100	92.6829
-70.9	70.9	100	92.6829
-71.0	71.0	100	92.6829
-71.1	71.1	100	92.6829
-71.2	71.2	100	92.6829
-71.3	71.3	100	92.6829
-71.4	71.4	100	92.6829
-71.5	71.5	100	92.6829
-71.6	71.6	100	92.6829
-71.7	71.7	100	92.6829
-71.8	71.8	100	92.6829
-71.9	71.9	100	92.6829
-72.0	72.0	100	92.6829
-72.1	72.1	100	92.6829
-72.2	72.2	100	92.6829
-72.3	72.3	100	92.6829
-72.4	72.4	100	92.6829
-72.5	72.5	100	92.6829
-72.6	72.6	100	92.6829
-72.7	72.7	100	92.6829
-72.8	72.8	100	93.2488
-72.9	72.9	100	93.2927
-73.0	73.0	100	93.2927
-73.1	73.1	100	93.2927
-73.2	73.2	100	93.2927
-73.3	73.3	100	93.2927
-73.4	73.4	100	93.2927
-73.5	73.5	100	93.2927
-73.6	73.6	100	93.2927
-73.7	73.7	100	93.2927
-73.8	73.8	100	93.2927
-73.9	73.9	100	93.2927
-74.0	74.0	100	93.2927
-74.1	74.1	100	93.2927
-74.2	74.2	100	93.2927
-74.3	74.3	100	93.2927
-74.4	74.4	100	93.2927
-74.5	74.5	100	93.2927
-74.6	74.6	100	93.2927
-74.7	74.7	100	93.7787
-74.8	74.8	100	93.9024
-74.9	74.9	100	93.9024
-75.0	75.0	100	93.9024
-75.1	75.1	100	93.9024
-75.2	75.2	100	94.239
-75.3	75.3	100	94.5122
-75.4	75.4	100	95.0329
-75.5	75.5	100	95.122
-75.6	75.6	100	95.122
-75.7	75.7	100	95.122
-75.8	75.8	100	95.122
-75.9	75.9	100	95.122
-76.0	76.0	100	95.122
-76.1	76.1	100	95.122
-76.2	76.2	100	95.122
-76.3	76.3	100	95.122
-76.4	76.4	100	95.122
-76.5	76.5	100	95.122
-76.6	76.6	100	95.122
-76.7	76.7	100	95.122
-76.8	76.8	100	95.122
-76.9	76.9	100	95.122
-77.0	77.0	100	95.122
-77.1	77.1	100	95.122
-77.2	77.2	100	95.122
-77.3	77.3	100	95.122
-77.4	77.4	100	95.122
-77.5	77.5	100	95.122
-77.6	77.6	100	95.122
-77.7	77.7	100	95.122
-77.8	77.8	100	95.122
-77.9	77.9	100	95.122
-78.0	78.0	100	95.122
-78.1	78.1	100	95.122
-78.2	78.2	100	95.122
-78.3	78.3	100	95.122
-78.4	78.4	100	95.122
-78.5	78.5	100	95.122
-78.6	78.6	100	95.122
-78.7	78.7	100	95.122
-78.8	78.8	100	95.122
-78.9	78.9	100	95.122
-79.0	79.0	100	95.122
-79.1	79.1	100	95.122
-79.2	79.2	100	95.122
-79.3	79.3	100	95.122
-79.4	79.4	100	95.122
-79.5	79.5	100	95.122
-79.6	79.6	100	95.122
-79.7	79.7	100	95.122
-79.8	79.8	100	95.122
-79.9	79.9	100	95.122
-80.0	80.0	100	95.122
-80.1	80.1	100	95.122
-80.2	80.2	100	95.122
-80.3	80.3	100	95.2762
-80.4	80.4	100	95.978
-80.5	80.5	100	96.3415
-80.6	80.6	100	96.3415
-80.7	80.7	100	96.3415
-80.8	80.8	100	96.3415
-80.9	80.9	100	96.3415
-81.0	81.0	100	96.3415
-81.1	81.1	100	96.3415
-81.2	81.2	100	96.3415
-81.3	81.3	100	96.3415
-81.4	81.4	100	96.3415
-81.5	81.5	100	96.3415
-81.6	81.6	100	96.3415
-81.7	81.7	100	96.3415
-81.8	81.8	100	96.3415
-81.9	81.9	100	96.3415
-82.0	82.0	100	96.3415
-82.1	82.1	100	96.3415
-82.2	82.2	100	96.3415
-82.3	82.3	100	96.3415
-82.4	82.4	100	96.3415
-82.5	82.5	100	96.3415
-82.6	82.6	100	96.3415
-82.7	82.7	100	96.3415
-82.8	82.8	100	96.3415
-82.9	82.9	100	96.3415
-83.0	83.0	100	96.3415
-83.1	83.1	100	96.3415
-83.2	83.2	100	96.3415
-83.3	83.3	100	96.3415
-83.4	83.4	100	96.3415
-83.5	83.5	100	96.3415
-83.6	83.6	100	96.3415
-83.7	83.7	100	96.3415
-83.8	83.8	100	96.3415
-83.9	83.9	100	96.3415
-84.0	84.0	100	96.3415
-84.1	84.1	100	96.3415
-84.2	84.2	100	96.3415
-84.3	84.3	100	96.3415
-84.4	84.4	100	96.3415
-84.5	84.5	100	96.3415
-84.6	84.6	100	96.3415
-84.7	84.7	100	96.3415
-84.8	84.8	100	96.3415
-84.9	84.9	100	96.3415
-85.0	85.0	100	96.3415
-85.1	85.1	100	96.3415
-85.2	85.2	100	96.3415
-85.3	85.3	100	96.3415
-85.4	85.4	100	96.3415
-85.5	85.5	100	96.3415
-85.6	85.6	100	96.3415
-85.7	85.7	100	96.3415
-85.8	85.8	100	96.3415
-85.9	85.9	100	96.3415
-86.0	86.0	100	96.3415
-86.1	86.1	100	96.3415
-86.2	86.2	100	96.3415
-86.3	86.3	100	96.3415
-86.4	86.4	100	96.3415
-86.5	86.5	100	96.3415
-86.6	86.6	100	96.3415
-86.7	86.7	100	96.3415
-86.8	86.8	100	96.3415
-86.9	86.9	100	96.3415
-87.0	87.0	100	96.3415
-87.1	87.1	100	96.3415
-87.2	87.2	100	96.3415
-87.3	87.3	100	96.3415
-87.4	87.4	100	96.3415
-87.5	87.5	100	96.3415
-87.6	87.6	100	96.3415
-87.7	87.7	100	96.3415
-87.8	87.8	100	96.3415
-87.9	87.9	100	96.3415
-88.0	88.0	100	96.3415
-88.1	88.1	100	96.3415
-88.2	88.2	100	96.3415
-88.3	88.3	100	96.5445
-88.4	88.4	100	96.9512
-88.5	88.5	100	96.9512
-88.6	88.6	100	96.9512
-88.7	88.7	100	96.9512
-88.8	88.8	100	96.9512
-88.9	88.9	100	96.9512
-89.0	89.0	100	96.9512
-89.1	89.1	100	96.9512
-89.2	89.2	100	96.9512
-89.3	89.3	100	96.9512
-89.4	89.4	100	96.9512
-89.5	89.5	100	96.9512
-89.6	89.6	100	96.9512
-89.7	89.7	100	96.9512
-89.8	89.8	100	96.9512
-89.9	89.9	100	96.9512
-90.0	90.0	100	96.9512
-90.1	90.1	100	96.9512
-90.2	90.2	100	96.9512
-90.3	90.3	100	96.9512
-90.4	90.4	100	96.9512
-90.5	90.5	100	96.9512
-90.6	90.6	100	97.4427
-90.7	90.7	100	97.561
-90.8	90.8	100	97.561
-90.9	90.9	100	97.561
-91.0	91.0	100	97.561
-91.1	91.1	100	97.561
-91.2	91.2	100	97.9951
-91.3	91.3	100	98.1707
-91.4	91.4	100	98.1707
-91.5	91.5	100	98.1707
-91.6	91.6	100	98.1707
-91.7	91.7	100	98.1707
-91.8	91.8	100	98.1707
-91.9	91.9	100	98.1707
-92.0	92.0	100	98.1707
-92.1	92.1	100	98.1707
-92.2	92.2	100	98.1707
-92.3	92.3	100	98.1707
-92.4	92.4	100	98.1707
-92.5	92.5	100	98.1707
-92.6	92.6	100	98.1707
-92.7	92.7	100	98.1707
-92.8	92.8	100	98.1707
-92.9	92.9	100	98.3409
-93.0	93.0	100	98.7805
-93.1	93.1	100	99.1348
-93.2	93.2	100	99.3902
-93.3	93.3	100	99.3902
-93.4	93.4	100	99.3902
-93.5	93.5	100	99.3902
-93.6	93.6	100	99.3902
-93.7	93.7	100	99.3902
-93.8	93.8	100	99.3902
-93.9	93.9	100	99.3902
-94.0	94.0	100	99.3902
-94.1	94.1	100	99.3902
-94.2	94.2	100	99.3902
-94.3	94.3	100	99.3902
-94.4	94.4	100	99.3902
-94.5	94.5	100	99.3902
-94.6	94.6	100	99.3902
-94.7	94.7	100	99.3902
-94.8	94.8	100	99.3902
-94.9	94.9	100	99.3902
-95.0	95.0	100	99.3902
-95.1	95.1	100	99.3902
-95.2	95.2	100	99.3902
-95.3	95.3	100	99.3902
-95.4	95.4	100	99.3902
-95.5	95.5	100	99.3902
-95.6	95.6	100	99.3902
-95.7	95.7	100	99.3902
-95.8	95.8	100	99.3902
-95.9	95.9	100	99.3902
-96.0	96.0	100	99.3902
-96.1	96.1	100	99.3902
-96.2	96.2	100	99.3902
-96.3	96.3	100	99.3902
-96.4	96.4	100	99.3902
-96.5	96.5	100	99.3902
-96.6	96.6	100	99.3902
-96.7	96.7	100	99.3902
-96.8	96.8	100	99.3902
-96.9	96.9	100	99.3902
-97.0	97.0	100	99.3902
-97.1	97.1	100	99.3902
-97.2	97.2	100	99.3902
-97.3	97.3	100	99.3902
-97.4	97.4	100	99.3902
-97.5	97.5	100	99.3902
-97.6	97.6	100	99.3902
-97.7	97.7	100	99.3902
-97.8	97.8	100	99.3902
-97.9	97.9	100	99.3902
-98.0	98.0	100	99.3902
-98.1	98.1	100	99.3902
-98.2	98.2	100	99.3902
-98.3	98.3	100	99.3902
-98.4	98.4	100	99.3902
-98.5	98.5	100	99.8384
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	negative
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.321508	0.321508
-0.2	0.2	0.643017	0.643017
-0.3	0.3	0.964525	0.964525
-0.4	0.4	1.28603	1.11732
-0.5	0.5	1.60754	1.32821
-0.6	0.6	1.92905	1.64972
-0.7	0.7	2.25056	1.97123
-0.8	0.8	2.57207	2.29274
-0.9	0.9	2.89358	2.61425
-1.0	1.0	3.21508	2.7933
-1.1	1.1	3.53659	2.7933
-1.2	1.2	3.8581	2.7933
-1.3	1.3	4.17961	2.7933
-1.4	1.4	4.50112	3.10447
-1.5	1.5	4.82263	3.35196
-1.6	1.6	5.14413	3.46816
-1.7	1.7	5.46564	3.78966
-1.8	1.8	5.78715	4.11117
-1.9	1.9	6.10866	4.43268
-2.0	2.0	6.43017	4.47486
-2.1	2.1	6.75168	4.79637
-2.2	2.2	7.07318	5.02793
-2.3	2.3	7.39469	5.16006
-2.4	2.4	7.7162	5.48156
-2.5	2.5	8.03771	5.58659
-2.6	2.6	8.35922	5.84525
-2.7	2.7	8.68073	6.16676
-2.8	2.8	9.00223	6.48827
-2.9	2.9	9.32374	6.80978
-3.0	3.0	9.64525	7.13128
-3.1	3.1	9.96676	7.45279
-3.2	3.2	10.2883	7.7743
-3.3	3.3	10.6098	8.09581
-3.4	3.4	10.9313	8.37989
-3.5	3.5	11.2528	8.37989
-3.6	3.6	11.5743	8.50168
-3.7	3.7	11.8958	8.82318
-3.8	3.8	12.2173	9.14469
-3.9	3.9	12.5388	9.21788
-4.0	4.0	12.8603	9.50838
-4.1	4.1	13.1818	9.82989
-4.2	4.2	13.5034	10.1514
-4.3	4.3	13.8249	10.4729
-4.4	4.4	14.1464	10.6145
-4.5	4.5	14.4679	10.8366
-4.6	4.6	14.7894	10.8939
-4.7	4.7	15.1109	11.1732
-4.8	4.8	15.4324	11.1732
-4.9	4.9	15.7539	11.1732
-5.0	5.0	16.0754	11.3268
-5.1	5.1	16.3969	11.6483
-5.2	5.2	16.7184	11.7318
-5.3	5.3	17.0399	11.7318
-5.4	5.4	17.3615	11.7749
-5.5	5.5	17.683	12.0112
-5.6	5.6	18.0045	12.1385
-5.7	5.7	18.326	12.2905
-5.8	5.8	18.6475	12.5022
-5.9	5.9	18.969	12.8237
-6.0	6.0	19.2905	13.1453
-6.1	6.1	19.612	13.4078
-6.2	6.2	19.9335	13.5089
-6.3	6.3	20.255	13.6872
-6.4	6.4	20.5765	13.8726
-6.5	6.5	20.898	13.9665
-6.6	6.6	21.2196	13.9665
-6.7	6.7	21.5411	14.2458
-6.8	6.8	21.8626	14.2458
-6.9	6.9	22.1841	14.3628
-7.0	7.0	22.5056	14.5251
-7.1	7.1	22.8271	14.7265
-7.2	7.2	23.1486	15.048
-7.3	7.3	23.4701	15.3696
-7.4	7.4	23.7916	15.6425
-7.5	7.5	24.1131	15.7332
-7.6	7.6	24.4346	16.0547
-7.7	7.7	24.7561	16.3763
-7.8	7.8	25.0777	16.6978
-7.9	7.9	25.3992	17.0193
-8.0	8.0	25.7207	17.0391
-8.1	8.1	26.0422	17.1036
-8.2	8.2	26.3637	17.3184
-8.3	8.3	26.6852	17.4673
-8.4	8.4	27.0067	17.5978
-8.5	8.5	27.3282	17.831
-8.6	8.6	27.6497	18.1525
-8.7	8.7	27.9712	18.1564
-8.8	8.8	28.2927	18.1564
-8.9	8.9	28.6142	18.2791
-9.0	9.0	28.9358	18.4358
-9.1	9.1	29.2573	18.6427
-9.2	9.2	29.5788	18.9642
-9.3	9.3	29.9003	19.2737
-9.4	9.4	30.2218	19.2737
-9.5	9.5	30.5433	19.3701
-9.6	9.6	30.8648	19.6916
-9.7	9.7	31.1863	19.8324
-9.8	9.8	31.5078	19.8324
-9.9	9.9	31.8293	20.0975
-10.0	10.0	32.1508	20.1397
-10.1	10.1	32.4723	20.3911
-10.2	10.2	32.7939	20.5034
-10.3	10.3	33.1154	20.6704
-10.4	10.4	33.4369	20.867
-10.5	10.5	33.7584	20.9497
-10.6	10.6	34.0799	21.2307
-10.7	10.7	34.4014	21.5522
-10.8	10.8	34.7229	21.8737
-10.9	10.9	35.0444	22.1953
-11.0	11.0	35.3659	22.5168
-11.1	11.1	35.6874	22.6257
-11.2	11.2	36.0089	22.6257
-11.3	11.3	36.3304	22.905
-11.4	11.4	36.652	22.9648
-11.5	11.5	36.9735	23.1844
-11.6	11.6	37.295	23.3285
-11.7	11.7	37.6165	23.4637
-11.8	11.8	37.938	23.4637
-11.9	11.9	38.2595	23.7344
-12.0	12.0	38.581	24.0559
-12.1	12.1	38.9025	24.3017
-12.2	12.2	39.224	24.3017
-12.3	12.3	39.5455	24.4617
-12.4	12.4	39.867	24.7832
-12.5	12.5	40.1885	24.8603
-12.6	12.6	40.5101	25.1397
-12.7	12.7	40.8316	25.1891
-12.8	12.8	41.1531	25.5106
-12.9	12.9	41.4746	25.8321
-13.0	13.0	41.7961	26.1536
-13.1	13.1	42.1176	26.4751
-13.2	13.2	42.4391	26.5363
-13.3	13.3	42.7606	26.5363
-13.4	13.4	43.0821	26.6017
-13.5	13.5	43.4036	26.8156
-13.6	13.6	43.7251	26.8156
-13.7	13.7	44.0466	26.8156
-13.8	13.8	44.3682	26.8156
-13.9	13.9	44.6897	27.0919
-14.0	14.0	45.0112	27.4134
-14.1	14.1	45.3327	27.7349
-14.2	14.2	45.6542	28.0564
-14.3	14.3	45.9757	28.3779
-14.4	14.4	46.2972	28.4916
-14.5	14.5	46.6187	28.7416
-14.6	14.6	46.9402	29.0503
-14.7	14.7	47.2617	29.1053
-14.8	14.8	47.5832	29.3296
-14.9	14.9	47.9047	29.469
-15.0	15.0	48.2263	29.7905
-15.1	15.1	48.5478	29.8883
-15.2	15.2	48.8693	30.1542
-15.3	15.3	49.1908	30.1964
-15.4	15.4	49.5123	30.5179
-15.5	15.5	49.8338	30.8394
-15.6	15.6	50.1553	31.0056
-15.7	15.7	50.4768	31.0056
-15.8	15.8	50.7983	31.2453
-15.9	15.9	51.1198	31.2874
-16.0	16.0	51.4413	31.5642
-16.1	16.1	51.7628	31.6511
-16.2	16.2	52.0844	31.8436
-16.3	16.3	52.4059	32.0148
-16.4	16.4	52.7274	32.1229
-16.5	16.5	53.0489	32.3785
-16.6	16.6	53.3704	32.7
-16.7	16.7	53.6919	33.0215
-16.8	16.8	54.0134	33.343
-16.9	16.9	54.3349	33.5196
-17.0	17.0	54.6564	33.5196
-17.1	17.1	54.9779	33.5196
-17.2	17.2	55.2994	33.5196
-17.3	17.3	55.6209	33.5539
-17.4	17.4	55.9425	33.8754
-17.5	17.5	56.264	34.0782
-17.6	17.6	56.5855	34.0782
-17.7	17.7	56.907	34.2813
-17.8	17.8	57.2285	34.6028
-17.9	17.9	57.55	34.9162
-18.0	18.0	57.8715	34.9665
-18.1	18.1	58.193	35.1955
-18.2	18.2	58.5145	35.1955
-18.3	18.3	58.836	35.1955
-18.4	18.4	59.1575	35.4145
-18.5	18.5	59.4791	35.736
-18.6	18.6	59.8006	36.0575
-18.7	18.7	60.1221	36.3128
-18.8	18.8	60.4436	36.3128
-18.9	18.9	60.7651	36.4634
-19.0	19.0	61.0866	36.7849
-19.1	19.1	61.4081	36.8715
-19.2	19.2	61.7296	37.1486
-19.3	19.3	62.0511	37.4302
-19.4	19.4	62.3726	37.5123
-19.5	19.5	62.6941	37.7095
-19.6	19.6	63.0156	37.876
-19.7	19.7	63.3372	38.1975
-19.8	19.8	63.6587	38.519
-19.9	19.9	63.9802	38.8268
-20.0	20.0	64.3017	38.8827
-20.1	20.1	64.6232	39.2042
-20.2	20.2	64.9447	39.5257
-20.3	20.3	65.2662	39.8472
-20.4	20.4	65.5877	40.1687
-20.5	20.5	65.9092	40.4902
-20.6	20.6	66.2307	40.7821
-20.7	20.7	66.5522	40.7821
-20.8	20.8	66.8737	40.8961
-20.9	20.9	67.1953	41.0615
-21.0	21.0	67.5168	41.0615
-21.1	21.1	67.8383	41.0615
-21.2	21.2	68.1598	41.3441
-21.3	21.3	68.4813	41.6656
-21.4	21.4	68.8028	41.9872
-21.5	21.5	69.1243	42.3087
-21.6	21.6	69.4458	42.6302
-21.7	21.7	69.7673	42.9517
-21.8	21.8	70.0888	43.2732
-21.9	21.9	70.4103	43.5754
-22.0	22.0	70.7318	43.6369
-22.1	22.1	71.0534	43.9584
-22.2	22.2	71.3749	44.1341
-22.3	22.3	71.6964	44.3221
-22.4	22.4	72.0179	44.6436
-22.5	22.5	72.3394	44.6927
-22.6	22.6	72.6609	44.6927
-22.7	22.7	72.9824	44.6927
-22.8	22.8	73.3039	44.6927
-22.9	22.9	73.6254	44.8545
-23.0	23.0	73.9469	45.176
-23.1	23.1	74.2684	45.2514
-23.2	23.2	74.5899	45.5307
-23.3	23.3	74.9115	45.5818
-23.4	23.4	75.233	45.9034
-23.5	23.5	75.5545	46.2249
-23.6	23.6	75.876	46.3687
-23.7	23.7	76.1975	46.3687
-23.8	23.8	76.519	46.3687
-23.9	23.9	76.8405	46.3687
-24.0	24.0	77.162	46.4358
-24.1	24.1	77.4835	46.648
-24.2	24.2	77.805	46.648
-24.3	24.3	78.1265	46.8416
-24.4	24.4	78.448	46.9274
-24.5	24.5	78.7696	47.2053
-24.6	24.6	79.0911	47.486
-24.7	24.7	79.4126	47.486
-24.8	24.8	79.7341	47.486
-24.9	24.9	80.0556	47.6534
-25.0	25.0	80.3771	47.9749
-25.1	25.1	80.6986	48.2964
-25.2	25.2	81.0201	48.6034
-25.3	25.3	81.3416	48.6601
-25.4	25.4	81.6631	48.8827
-25.5	25.5	81.9846	49.0237
-25.6	25.6	82.3061	49.3453
-25.7	25.7	82.6277	49.4413
-25.8	25.8	82.9492	49.4413
-25.9	25.9	83.2707	49.4413
-26.0	26.0	83.5922	49.4413
-26.1	26.1	83.9137	49.4413
-26.2	26.2	84.2352	49.5983
-26.3	26.3	84.5567	49.7207
-26.4	26.4	84.8782	49.962
-26.5	26.5	85.1997	50.2835
-26.6	26.6	85.5212	50.605
-26.7	26.7	85.8427	50.9265
-26.8	26.8	86.1642	51.248
-26.9	26.9	86.4858	51.5696
-27.0	27.0	86.8073	51.676
-27.1	27.1	87.1288	51.676
-27.2	27.2	87.4503	51.676
-27.3	27.3	87.7718	51.7383
-27.4	27.4	88.0933	52.0598
-27.5	27.5	88.4148	52.3813
-27.6	27.6	88.7363	52.514
-27.7	27.7	89.0578	52.514
-27.8	27.8	89.3793	52.514
-27.9	27.9	89.7008	52.55
-28.0	28.0	90.0223	52.7933
-28.1	28.1	90.3439	52.9137
-28.2	28.2	90.6654	53.2352
-28.3	28.3	90.9869	53.352
-28.4	28.4	91.3084	53.352
-28.5	28.5	91.6299	53.6313
-28.6	28.6	91.9514	53.6832
-28.7	28.7	92.2729	53.9106
-28.8	28.8	92.5944	53.9106
-28.9	28.9	92.9159	54.0891
-29.0	29.0	93.2374	54.1899
-29.1	29.1	93.5589	54.1899
-29.2	29.2	93.8804	54.1899
-29.3	29.3	94.202	54.1899
-29.4	29.4	94.5235	54.1899
-29.5	29.5	94.845	54.3422
-29.6	29.6	95.1665	54.4693
-29.7	29.7	95.488	54.4693
-29.8	29.8	95.8095	54.748
-29.9	29.9	96.131	54.7486
-30.0	30.0	96.4525	54.7486
-30.1	30.1	96.774	54.7486
-30.2	30.2	97.0955	54.7486
-30.3	30.3	97.417	54.9589
-30.4	30.4	97.7385	55.2804
-30.5	30.5	98.0601	55.3073
-30.6	30.6	98.3816	55.3073
-30.7	30.7	98.7031	55.3073
-30.8	30.8	99.0246	55.3073
-30.9	30.9	99.3461	55.4913
-31.0	31.0	99.6676	55.8128
-31.1	31.1	99.9891	55.8659
-31.2	31.2	100	55.8972
-31.3	31.3	100	56.2187
-31.4	31.4	100	56.4246
-31.5	31.5	100	56.4246
-31.6	31.6	100	56.6246
-31.7	31.7	100	56.7039
-31.8	31.8	100	56.9883
-31.9	31.9	100	57.3098
-32.0	32.0	100	57.5419
-32.1	32.1	100	57.6735
-32.2	32.2	100	57.8212
-32.3	32.3	100	57.8212
-32.4	32.4	100	58.0793
-32.5	32.5	100	58.3799
-32.6	32.6	100	58.443
-32.7	32.7	100	58.7645
-32.8	32.8	100	58.9385
-32.9	32.9	100	59.1282
-33.0	33.0	100	59.4497
-33.1	33.1	100	59.7712
-33.2	33.2	100	60.0927
-33.3	33.3	100	60.3352
-33.4	33.4	100	60.3352
-33.5	33.5	100	60.4986
-33.6	33.6	100	60.8201
-33.7	33.7	100	61.1416
-33.8	33.8	100	61.1732
-33.9	33.9	100	61.226
-34.0	34.0	100	61.5475
-34.1	34.1	100	61.869
-34.2	34.2	100	62.1905
-34.3	34.3	100	62.512
-34.4	34.4	100	62.8335
-34.5	34.5	100	62.8757
-34.6	34.6	100	63.1285
-34.7	34.7	100	63.1285
-34.8	34.8	100	63.1285
-34.9	34.9	100	63.3237
-35.0	35.0	100	63.4078
-35.1	35.1	100	63.6872
-35.2	35.2	100	63.6872
-35.3	35.3	100	63.6872
-35.4	35.4	100	63.814
-35.5	35.5	100	64.1355
-35.6	35.6	100	64.2458
-35.7	35.7	100	64.2458
-35.8	35.8	100	64.2458
-35.9	35.9	100	64.3042
-36.0	36.0	100	64.5251
-36.1	36.1	100	64.6679
-36.2	36.2	100	64.8045
-36.3	36.3	100	65.0316
-36.4	36.4	100	65.3531
-36.5	36.5	100	65.6425
-36.6	36.6	100	65.6425
-36.7	36.7	100	65.6425
-36.8	36.8	100	65.8011
-36.9	36.9	100	65.9218
-37.0	37.0	100	65.9218
-37.1	37.1	100	65.9218
-37.2	37.2	100	65.9218
-37.3	37.3	100	66.012
-37.4	37.4	100	66.2011
-37.5	37.5	100	66.2011
-37.6	37.6	100	66.2011
-37.7	37.7	100	66.4601
-37.8	37.8	100	66.7598
-37.9	37.9	100	66.7598
-38.0	38.0	100	66.8659
-38.1	38.1	100	67.0391
-38.2	38.2	100	67.0391
-38.3	38.3	100	67.0391
-38.4	38.4	100	67.314
-38.5	38.5	100	67.6355
-38.6	38.6	100	67.8771
-38.7	38.7	100	67.8771
-38.8	38.8	100	67.8771
-38.9	38.9	100	67.8771
-39.0	39.0	100	67.8771
-39.1	39.1	100	68.1564
-39.2	39.2	100	68.1564
-39.3	39.3	100	68.1564
-39.4	39.4	100	68.1564
-39.5	39.5	100	68.3366
-39.6	39.6	100	68.4358
-39.7	39.7	100	68.4358
-39.8	39.8	100	68.4358
-39.9	39.9	100	68.4358
-40.0	40.0	100	68.5475
-40.1	40.1	100	68.7151
-40.2	40.2	100	68.9112
-40.3	40.3	100	68.9944
-40.4	40.4	100	68.9955
-40.5	40.5	100	69.317
-40.6	40.6	100	69.6385
-40.7	40.7	100	69.9601
-40.8	40.8	100	70.1117
-40.9	40.9	100	70.1117
-41.0	41.0	100	70.3659
-41.1	41.1	100	70.4081
-41.2	41.2	100	70.6704
-41.3	41.3	100	70.6704
-41.4	41.4	100	70.6704
-41.5	41.5	100	70.6704
-41.6	41.6	100	70.6704
-41.7	41.7	100	70.9405
-41.8	41.8	100	70.9827
-41.9	41.9	100	71.2291
-42.0	42.0	100	71.3464
-42.1	42.1	100	71.5084
-42.2	42.2	100	71.5084
-42.3	42.3	100	71.7522
-42.4	42.4	100	72.067
-42.5	42.5	100	72.1159
-42.6	42.6	100	72.3464
-42.7	42.7	100	72.4796
-42.8	42.8	100	72.6257
-42.9	42.9	100	72.6257
-43.0	43.0	100	72.6257
-43.1	43.1	100	72.9277
-43.2	43.2	100	73.1844
-43.3	43.3	100	73.2913
-43.4	43.4	100	73.4637
-43.5	43.5	100	73.655
-43.6	43.6	100	73.743
-43.7	43.7	100	73.743
-43.8	43.8	100	73.7816
-43.9	43.9	100	74.0223
-44.0	44.0	100	74.0223
-44.1	44.1	100	74.0223
-44.2	44.2	100	74.2296
-44.3	44.3	100	74.5511
-44.4	44.4	100	74.581
-44.5	44.5	100	74.581
-44.6	44.6	100	74.581
-44.7	44.7	100	74.581
-44.8	44.8	100	74.762
-44.9	44.9	100	75.0835
-45.0	45.0	100	75.405
-45.1	45.1	100	75.7265
-45.2	45.2	100	76.048
-45.3	45.3	100	76.3696
-45.4	45.4	100	76.5363
-45.5	45.5	100	76.5363
-45.6	45.6	100	76.5363
-45.7	45.7	100	76.8156
-45.8	45.8	100	76.8156
-45.9	45.9	100	76.8156
-46.0	46.0	100	76.8156
-46.1	46.1	100	76.8156
-46.2	46.2	100	76.8156
-46.3	46.3	100	76.8156
-46.4	46.4	100	76.8156
-46.5	46.5	100	76.8156
-46.6	46.6	100	76.9179
-46.7	46.7	100	77.095
-46.8	46.8	100	77.095
-46.9	46.9	100	77.095
-47.0	47.0	100	77.3659
-47.1	47.1	100	77.3743
-47.2	47.2	100	77.3743
-47.3	47.3	100	77.3743
-47.4	47.4	100	77.3743
-47.5	47.5	100	77.3743
-47.6	47.6	100	77.619
-47.7	47.7	100	77.6612
-47.8	47.8	100	77.933
-47.9	47.9	100	77.933
-48.0	48.0	100	77.933
-48.1	48.1	100	77.933
-48.2	48.2	100	78.1514
-48.3	48.3	100	78.2123
-48.4	48.4	100	78.5151
-48.5	48.5	100	78.7709
-48.6	48.6	100	78.8788
-48.7	48.7	100	79.0503
-48.8	48.8	100	79.0503
-48.9	48.9	100	79.2846
-49.0	49.0	100	79.3296
-49.1	49.1	100	79.369
-49.2	49.2	100	79.6089
-49.3	49.3	100	79.6089
-49.4	49.4	100	79.7749
-49.5	49.5	100	79.8883
-49.6	49.6	100	80.1385
-49.7	49.7	100	80.4469
-49.8	49.8	100	80.4469
-49.9	49.9	100	80.4469
-50.0	50.0	100	80.5866
-50.1	50.1	100	80.9081
-50.2	50.2	100	81.0056
-50.3	50.3	100	81.2718
-50.4	50.4	100	81.5642
-50.5	50.5	100	81.6355
-50.6	50.6	100	81.8436
-50.7	50.7	100	81.8436
-50.8	50.8	100	81.8436
-50.9	50.9	100	81.8436
-51.0	51.0	100	81.8464
-51.1	51.1	100	82.1229
-51.2	51.2	100	82.1229
-51.3	51.3	100	82.2522
-51.4	51.4	100	82.5737
-51.5	51.5	100	82.6816
-51.6	51.6	100	82.6816
-51.7	51.7	100	82.6816
-51.8	51.8	100	82.6816
-51.9	51.9	100	82.6816
-52.0	52.0	100	82.8268
-52.1	52.1	100	82.9609
-52.2	52.2	100	82.9609
-52.3	52.3	100	83.2327
-52.4	52.4	100	83.5196
-52.5	52.5	100	83.5196
-52.6	52.6	100	83.6385
-52.7	52.7	100	83.7989
-52.8	52.8	100	83.7989
-52.9	52.9	100	83.7989
-53.0	53.0	100	84.0782
-53.1	53.1	100	84.0782
-53.2	53.2	100	84.0782
-53.3	53.3	100	84.0782
-53.4	53.4	100	84.2553
-53.5	53.5	100	84.3575
-53.6	53.6	100	84.3575
-53.7	53.7	100	84.3575
-53.8	53.8	100	84.3575
-53.9	53.9	100	84.3575
-54.0	54.0	100	84.3575
-54.1	54.1	100	84.3575
-54.2	54.2	100	84.3575
-54.3	54.3	100	84.3575
-54.4	54.4	100	84.3575
-54.5	54.5	100	84.3575
-54.6	54.6	100	84.3575
-54.7	54.7	100	84.3575
-54.8	54.8	100	84.3575
-54.9	54.9	100	84.3575
-55.0	55.0	100	84.3715
-55.1	55.1	100	84.6369
-55.2	55.2	100	84.6369
-55.3	55.3	100	84.6369
-55.4	55.4	100	84.6369
-55.5	55.5	100	84.6369
-55.6	55.6	100	84.6369
-55.7	55.7	100	84.6369
-55.8	55.8	100	84.6369
-55.9	55.9	100	84.6369
-56.0	56.0	100	84.7933
-56.1	56.1	100	84.9162
-56.2	56.2	100	85.157
-56.3	56.3	100	85.1955
-56.4	56.4	100	85.2413
-56.5	56.5	100	85.4749
-56.6	56.6	100	85.605
-56.7	56.7	100	85.7542
-56.8	56.8	100	85.7542
-56.9	56.9	100	85.7542
-57.0	57.0	100	86.0335
-57.1	57.1	100	86.0335
-57.2	57.2	100	86.1374
-57.3	57.3	100	86.3128
-57.4	57.4	100	86.3128
-57.5	57.5	100	86.3128
-57.6	57.6	100	86.3128
-57.7	57.7	100	86.5922
-57.8	57.8	100	86.5922
-57.9	57.9	100	86.5922
-58.0	58.0	100	86.5922
-58.1	58.1	100	86.5922
-58.2	58.2	100	86.5922
-58.3	58.3	100	86.5922
-58.4	58.4	100	86.5922
-58.5	58.5	100	86.5922
-58.6	58.6	100	86.5922
-58.7	58.7	100	86.5922
-58.8	58.8	100	86.5922
-58.9	58.9	100	86.5922
-59.0	59.0	100	86.6173
-59.1	59.1	100	86.8715
-59.2	59.2	100	86.8715
-59.3	59.3	100	86.8715
-59.4	59.4	100	87.0654
-59.5	59.5	100	87.1508
-59.6	59.6	100	87.1508
-59.7	59.7	100	87.1508
-59.8	59.8	100	87.1508
-59.9	59.9	100	87.1508
-60.0	60.0	100	87.3184
-60.1	60.1	100	87.6399
-60.2	60.2	100	87.7095
-60.3	60.3	100	87.9888
-60.4	60.4	100	88.0458
-60.5	60.5	100	88.2682
-60.6	60.6	100	88.2682
-60.7	60.7	100	88.2682
-60.8	60.8	100	88.2682
-60.9	60.9	100	88.536
-61.0	61.0	100	88.5782
-61.1	61.1	100	88.8268
-61.2	61.2	100	88.8268
-61.3	61.3	100	88.9841
-61.4	61.4	100	89.1061
-61.5	61.5	100	89.1061
-61.6	61.6	100	89.1106
-61.7	61.7	100	89.3855
-61.8	61.8	100	89.3855
-61.9	61.9	100	89.3855
-62.0	62.0	100	89.3855
-62.1	62.1	100	89.6008
-62.2	62.2	100	89.6648
-62.3	62.3	100	89.9441
-62.4	62.4	100	89.9441
-62.5	62.5	100	89.9441
-62.6	62.6	100	89.9441
-62.7	62.7	100	89.9441
-62.8	62.8	100	89.9441
-62.9	62.9	100	89.9441
-63.0	63.0	100	89.9441
-63.1	63.1	100	89.9441
-63.2	63.2	100	89.9441
-63.3	63.3	100	89.9441
-63.4	63.4	100	89.9441
-63.5	63.5	100	89.9441
-63.6	63.6	100	89.9441
-63.7	63.7	100	89.9441
-63.8	63.8	100	90.0385
-63.9	63.9	100	90.2235
-64.0	64.0	100	90.2235
-64.1	64.1	100	90.2235
-64.2	64.2	100	90.4866
-64.3	64.3	100	90.5028
-64.4	64.4	100	90.5709
-64.5	64.5	100	90.7821
-64.6	64.6	100	90.7821
-64.7	64.7	100	90.7821
-64.8	64.8	100	90.7821
-64.9	64.9	100	90.7821
-65.0	65.0	100	91.0615
-65.1	65.1	100	91.0615
-65.2	65.2	100	91.0615
-65.3	65.3	100	91.2299
-65.4	65.4	100	91.3408
-65.5	65.5	100	91.3408
-65.6	65.6	100	91.6201
-65.7	65.7	100	91.6201
-65.8	65.8	100	91.6201
-65.9	65.9	100	91.6201
-66.0	66.0	100	91.8045
-66.1	66.1	100	91.8994
-66.2	66.2	100	91.8994
-66.3	66.3	100	91.8994
-66.4	66.4	100	91.8994
-66.5	66.5	100	92.0154
-66.6	66.6	100	92.1788
-66.7	66.7	100	92.1788
-66.8	66.8	100	92.1788
-66.9	66.9	100	92.4581
-67.0	67.0	100	92.5056
-67.1	67.1	100	92.7374
-67.2	67.2	100	92.7374
-67.3	67.3	100	92.9115
-67.4	67.4	100	93.0168
-67.5	67.5	100	93.0168
-67.6	67.6	100	93.0168
-67.7	67.7	100	93.0168
-67.8	67.8	100	93.0168
-67.9	67.9	100	93.0168
-68.0	68.0	100	93.0168
-68.1	68.1	100	93.2489
-68.2	68.2	100	93.2961
-68.3	68.3	100	93.2961
-68.4	68.4	100	93.2961
-68.5	68.5	100	93.2961
-68.6	68.6	100	93.2961
-68.7	68.7	100	93.2961
-68.8	68.8	100	93.2961
-68.9	68.9	100	93.2961
-69.0	69.0	100	93.2961
-69.1	69.1	100	93.2961
-69.2	69.2	100	93.2961
-69.3	69.3	100	93.2961
-69.4	69.4	100	93.2961
-69.5	69.5	100	93.2961
-69.6	69.6	100	93.2961
-69.7	69.7	100	93.2961
-69.8	69.8	100	93.2961
-69.9	69.9	100	93.2961
-70.0	70.0	100	93.2961
-70.1	70.1	100	93.2961
-70.2	70.2	100	93.2966
-70.3	70.3	100	93.5754
-70.4	70.4	100	93.5754
-70.5	70.5	100	93.5754
-70.6	70.6	100	93.5754
-70.7	70.7	100	93.5754
-70.8	70.8	100	93.5754
-70.9	70.9	100	93.8547
-71.0	71.0	100	93.8547
-71.1	71.1	100	93.9556
-71.2	71.2	100	94.2771
-71.3	71.3	100	94.4134
-71.4	71.4	100	94.4134
-71.5	71.5	100	94.4134
-71.6	71.6	100	94.4134
-71.7	71.7	100	94.4134
-71.8	71.8	100	94.4134
-71.9	71.9	100	94.4134
-72.0	72.0	100	94.4134
-72.1	72.1	100	94.4134
-72.2	72.2	100	94.4134
-72.3	72.3	100	94.4134
-72.4	72.4	100	94.5039
-72.5	72.5	100	94.8254
-72.6	72.6	100	94.9721
-72.7	72.7	100	95.1891
-72.8	72.8	100	95.2514
-72.9	72.9	100	95.2514
-73.0	73.0	100	95.2514
-73.1	73.1	100	95.2514
-73.2	73.2	100	95.2514
-73.3	73.3	100	95.2514
-73.4	73.4	100	95.4844
-73.5	73.5	100	95.5307
-73.6	73.6	100	95.5307
-73.7	73.7	100	95.5307
-73.8	73.8	100	95.6531
-73.9	73.9	100	95.8101
-74.0	74.0	100	95.8101
-74.1	74.1	100	95.8101
-74.2	74.2	100	96.0894
-74.3	74.3	100	96.0894
-74.4	74.4	100	96.0894
-74.5	74.5	100	96.0894
-74.6	74.6	100	96.0894
-74.7	74.7	100	96.0894
-74.8	74.8	100	96.0894
-74.9	74.9	100	96.0894
-75.0	75.0	100	96.0894
-75.1	75.1	100	96.0894
-75.2	75.2	100	96.0894
-75.3	75.3	100	96.0894
-75.4	75.4	100	96.0894
-75.5	75.5	100	96.0908
-75.6	75.6	100	96.3687
-75.7	75.7	100	96.3687
-75.8	75.8	100	96.3687
-75.9	75.9	100	96.3687
-76.0	76.0	100	96.3687
-76.1	76.1	100	96.3687
-76.2	76.2	100	96.3687
-76.3	76.3	100	96.4282
-76.4	76.4	100	96.648
-76.5	76.5	100	96.648
-76.6	76.6	100	96.648
-76.7	76.7	100	96.648
-76.8	76.8	100	96.648
-76.9	76.9	100	96.648
-77.0	77.0	100	96.648
-77.1	77.1	100	96.7656
-77.2	77.2	100	96.9274
-77.3	77.3	100	96.9274
-77.4	77.4	100	96.9274
-77.5	77.5	100	96.9274
-77.6	77.6	100	96.9274
-77.7	77.7	100	96.9274
-77.8	77.8	100	96.9274
-77.9	77.9	100	96.9274
-78.0	78.0	100	96.9274
-78.1	78.1	100	96.9274
-78.2	78.2	100	96.9274
-78.3	78.3	100	96.9274
-78.4	78.4	100	96.9274
-78.5	78.5	100	96.9274
-78.6	78.6	100	96.9274
-78.7	78.7	100	96.9274
-78.8	78.8	100	97.2034
-78.9	78.9	100	97.2067
-79.0	79.0	100	97.2067
-79.1	79.1	100	97.3299
-79.2	79.2	100	97.6514
-79.3	79.3	100	97.7654
-79.4	79.4	100	97.7654
-79.5	79.5	100	97.7779
-79.6	79.6	100	98.0447
-79.7	79.7	100	98.0447
-79.8	79.8	100	98.0447
-79.9	79.9	100	98.0447
-80.0	80.0	100	98.0447
-80.1	80.1	100	98.0447
-80.2	80.2	100	98.0447
-80.3	80.3	100	98.0447
-80.4	80.4	100	98.0447
-80.5	80.5	100	98.0447
-80.6	80.6	100	98.0447
-80.7	80.7	100	98.0447
-80.8	80.8	100	98.0447
-80.9	80.9	100	98.0447
-81.0	81.0	100	98.0447
-81.1	81.1	100	98.0447
-81.2	81.2	100	98.0447
-81.3	81.3	100	98.0447
-81.4	81.4	100	98.0447
-81.5	81.5	100	98.0447
-81.6	81.6	100	98.0447
-81.7	81.7	100	98.0447
-81.8	81.8	100	98.0447
-81.9	81.9	100	98.0447
-82.0	82.0	100	98.0447
-82.1	82.1	100	98.0447
-82.2	82.2	100	98.0447
-82.3	82.3	100	98.0447
-82.4	82.4	100	98.0447
-82.5	82.5	100	98.0447
-82.6	82.6	100	98.0447
-82.7	82.7	100	98.0447
-82.8	82.8	100	98.0447
-82.9	82.9	100	98.0447
-83.0	83.0	100	98.0447
-83.1	83.1	100	98.0447
-83.2	83.2	100	98.0447
-83.3	83.3	100	98.2634
-83.4	83.4	100	98.324
-83.5	83.5	100	98.324
-83.6	83.6	100	98.3899
-83.7	83.7	100	98.6034
-83.8	83.8	100	98.6034
-83.9	83.9	100	98.6034
-84.0	84.0	100	98.6034
-84.1	84.1	100	98.8802
-84.2	84.2	100	98.8827
-84.3	84.3	100	98.8827
-84.4	84.4	100	98.8827
-84.5	84.5	100	98.8827
-84.6	84.6	100	98.8827
-84.7	84.7	100	98.8827
-84.8	84.8	100	98.8827
-84.9	84.9	100	98.8827
-85.0	85.0	100	98.8827
-85.1	85.1	100	98.8827
-85.2	85.2	100	98.8827
-85.3	85.3	100	98.8827
-85.4	85.4	100	98.8827
-85.5	85.5	100	98.912
-85.6	85.6	100	99.162
-85.7	85.7	100	99.162
-85.8	85.8	100	99.162
-85.9	85.9	100	99.162
-86.0	86.0	100	99.162
-86.1	86.1	100	99.4413
-86.2	86.2	100	99.4413
-86.3	86.3	100	99.4413
-86.4	86.4	100	99.4413
-86.5	86.5	100	99.4413
-86.6	86.6	100	99.4413
-86.7	86.7	100	99.4413
-86.8	86.8	100	99.4603
-86.9	86.9	100	99.7207
-87.0	87.0	100	99.7207
-87.1	87.1	100	99.7207
-87.2	87.2	100	99.7207
-87.3	87.3	100	99.7207
-87.4	87.4	100	99.7207
-87.5	87.5	100	99.7207
-87.6	87.6	100	99.7207
-87.7	87.7	100	99.7207
-87.8	87.8	100	99.7207
-87.9	87.9	100	99.7207
-88.0	88.0	100	99.7207
-88.1	88.1	100	99.7207
-88.2	88.2	100	99.7207
-88.3	88.3	100	99.7207
-88.4	88.4	100	99.7207
-88.5	88.5	100	99.7207
-88.6	88.6	100	99.7207
-88.7	88.7	100	99.7207
-88.8	88.8	100	99.7207
-88.9	88.9	100	99.7207
-89.0	89.0	100	99.7207
-89.1	89.1	100	99.7207
-89.2	89.2	100	99.7207
-89.3	89.3	100	99.7207
-89.4	89.4	100	99.7207
-89.5	89.5	100	99.7207
-89.6	89.6	100	99.7207
-89.7	89.7	100	99.7207
-89.8	89.8	100	99.7207
-89.9	89.9	100	99.7207
-90.0	90.0	100	99.7207
-90.1	90.1	100	99.7207
-90.2	90.2	100	99.7207
-90.3	90.3	100	99.7207
-90.4	90.4	100	99.7207
-90.5	90.5	100	99.7207
-90.6	90.6	100	99.7207
-90.7	90.7	100	99.7207
-90.8	90.8	100	99.7207
-90.9	90.9	100	99.7207
-91.0	91.0	100	99.7207
-91.1	91.1	100	99.7207
-91.2	91.2	100	99.7207
-91.3	91.3	100	99.7207
-91.4	91.4	100	99.7207
-91.5	91.5	100	99.7207
-91.6	91.6	100	99.7207
-91.7	91.7	100	99.7207
-91.8	91.8	100	99.7207
-91.9	91.9	100	99.7207
-92.0	92.0	100	99.7207
-92.1	92.1	100	99.7207
-92.2	92.2	100	99.7207
-92.3	92.3	100	99.7207
-92.4	92.4	100	99.7207
-92.5	92.5	100	99.7207
-92.6	92.6	100	99.7207
-92.7	92.7	100	99.7207
-92.8	92.8	100	99.7207
-92.9	92.9	100	99.7207
-93.0	93.0	100	99.7207
-93.1	93.1	100	99.7207
-93.2	93.2	100	99.7207
-93.3	93.3	100	99.7207
-93.4	93.4	100	99.7207
-93.5	93.5	100	99.7207
-93.6	93.6	100	99.7207
-93.7	93.7	100	99.7207
-93.8	93.8	100	99.7207
-93.9	93.9	100	99.7207
-94.0	94.0	100	99.7207
-94.1	94.1	100	99.7207
-94.2	94.2	100	99.7207
-94.3	94.3	100	99.7207
-94.4	94.4	100	99.7207
-94.5	94.5	100	99.9148
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	objective
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.239792	0.239792
-0.2	0.2	0.479583	0.479583
-0.3	0.3	0.719375	0.719375
-0.4	0.4	0.959167	0.959167
-0.5	0.5	1.19896	1.19896
-0.6	0.6	1.43875	1.43875
-0.7	0.7	1.67854	1.67854
-0.8	0.8	1.91833	1.91833
-0.9	0.9	2.15813	2.15813
-1.0	1.0	2.39792	2.39792
-1.1	1.1	2.63771	2.63771
-1.2	1.2	2.8775	2.8775
-1.3	1.3	3.11729	3.11729
-1.4	1.4	3.35708	3.35708
-1.5	1.5	3.59688	3.59688
-1.6	1.6	3.83667	3.83667
-1.7	1.7	4.07646	4.07646
-1.8	1.8	4.31625	4.31625
-1.9	1.9	4.55604	4.55604
-2.0	2.0	4.79583	4.79583
-2.1	2.1	5.03563	5.03563
-2.2	2.2	5.27542	5.27542
-2.3	2.3	5.51521	5.51521
-2.4	2.4	5.755	5.755
-2.5	2.5	5.99479	5.99479
-2.6	2.6	6.23458	6.23458
-2.7	2.7	6.47438	6.47438
-2.8	2.8	6.71417	6.66667
-2.9	2.9	6.95396	6.74563
-3.0	3.0	7.19375	6.98542
-3.1	3.1	7.43354	7.22521
-3.2	3.2	7.67333	7.465
-3.3	3.3	7.91313	7.70479
-3.4	3.4	8.15292	7.94458
-3.5	3.5	8.39271	8.18438
-3.6	3.6	8.6325	8.42417
-3.7	3.7	8.87229	8.66396
-3.8	3.8	9.11208	8.90375
-3.9	3.9	9.35188	9.14354
-4.0	4.0	9.59167	9.38333
-4.1	4.1	9.83146	9.62312
-4.2	4.2	10.0713	9.86292
-4.3	4.3	10.311	10.1027
-4.4	4.4	10.5508	10.3425
-4.5	4.5	10.7906	10.5823
-4.6	4.6	11.0304	10.8221
-4.7	4.7	11.2702	11.0619
-4.8	4.8	11.51	11.3017
-4.9	4.9	11.7498	11.4583
-5.0	5.0	11.9896	11.5729
-5.1	5.1	12.2294	11.8127
-5.2	5.2	12.4692	12.0525
-5.3	5.3	12.709	12.2923
-5.4	5.4	12.9488	12.5321
-5.5	5.5	13.1885	12.7719
-5.6	5.6	13.4283	13.0117
-5.7	5.7	13.6681	13.2515
-5.8	5.8	13.9079	13.4913
-5.9	5.9	14.1477	13.731
-6.0	6.0	14.3875	13.9583
-6.1	6.1	14.6273	14.0023
-6.2	6.2	14.8671	14.2421
-6.3	6.3	15.1069	14.4819
-6.4	6.4	15.3467	14.7217
-6.5	6.5	15.5865	14.9615
-6.6	6.6	15.8263	15.2013
-6.7	6.7	16.066	15.441
-6.8	6.8	16.3058	15.6808
-6.9	6.9	16.5456	15.9206
-7.0	7.0	16.7854	16.1604
-7.1	7.1	17.0252	16.4002
-7.2	7.2	17.265	16.64
-7.3	7.3	17.5048	16.8798
-7.4	7.4	17.7446	17.1196
-7.5	7.5	17.9844	17.3594
-7.6	7.6	18.2242	17.5992
-7.7	7.7	18.464	17.7083
-7.8	7.8	18.7038	17.8704
-7.9	7.9	18.9435	18.1102
-8.0	8.0	19.1833	18.35
-8.1	8.1	19.4231	18.5898
-8.2	8.2	19.6629	18.8296
-8.3	8.3	19.9027	19.0694
-8.4	8.4	20.1425	19.3092
-8.5	8.5	20.3823	19.549
-8.6	8.6	20.6221	19.7888
-8.7	8.7	20.8619	20.0285
-8.8	8.8	21.1017	20.2683
-8.9	8.9	21.3415	20.5081
-9.0	9.0	21.5813	20.7479
-9.1	9.1	21.821	20.9877
-9.2	9.2	22.0608	21.2275
-9.3	9.3	22.3006	21.4673
-9.4	9.4	22.5404	21.7071
-9.5	9.5	22.7802	21.9469
-9.6	9.6	23.02	22.1867
-9.7	9.7	23.2598	22.4265
-9.8	9.8	23.4996	22.6663
-9.9	9.9	23.7394	22.906
-10.0	10.0	23.9792	23.1458
-10.1	10.1	24.219	23.3856
-10.2	10.2	24.4588	23.6254
-10.3	10.3	24.6985	23.8652
-10.4	10.4	24.9383	23.9583
-10.5	10.5	25.1781	24.1365
-10.6	10.6	25.4179	24.3762
-10.7	10.7	25.6577	24.616
-10.8	10.8	25.8975	24.8558
-10.9	10.9	26.1373	25.0956
-11.0	11.0	26.3771	25.3354
-11.1	11.1	26.6169	25.5752
-11.2	11.2	26.8567	25.815
-11.3	11.3	27.0965	25.8465
-11.4	11.4	27.3362	26.0862
-11.5	11.5	27.576	26.326
-11.6	11.6	27.8158	26.5658
-11.7	11.7	28.0556	26.8056
-11.8	11.8	28.2954	26.875
-11.9	11.9	28.5352	27.0769
-12.0	12.0	28.775	27.1083
-12.1	12.1	29.0148	27.3481
-12.2	12.2	29.2546	27.5879
-12.3	12.3	29.4944	27.7083
-12.4	12.4	29.7342	27.8592
-12.5	12.5	29.974	28.099
-12.6	12.6	30.2138	28.3333
-12.7	12.7	30.4535	28.3702
-12.8	12.8	30.6933	28.5417
-12.9	12.9	30.9331	28.6415
-13.0	13.0	31.1729	28.8812
-13.1	13.1	31.4127	29.121
-13.2	13.2	31.6525	29.3608
-13.3	13.3	31.8923	29.6006
-13.4	13.4	32.1321	29.8404
-13.5	13.5	32.3719	30
-13.6	13.6	32.6117	30.1117
-13.7	13.7	32.8515	30.3515
-13.8	13.8	33.0913	30.5913
-13.9	13.9	33.331	30.831
-14.0	14.0	33.5708	31.0708
-14.1	14.1	33.8106	31.3106
-14.2	14.2	34.0504	31.5504
-14.3	14.3	34.2902	31.7902
-14.4	14.4	34.53	32.03
-14.5	14.5	34.7698	32.0833
-14.6	14.6	35.0096	32.3012
-14.7	14.7	35.2494	32.541
-14.8	14.8	35.4892	32.7808
-14.9	14.9	35.729	33.0206
-15.0	15.0	35.9688	33.2604
-15.1	15.1	36.2085	33.5002
-15.2	15.2	36.4483	33.5417
-15.3	15.3	36.6881	33.7715
-15.4	15.4	36.9279	34.0112
-15.5	15.5	37.1677	34.251
-15.6	15.6	37.4075	34.375
-15.7	15.7	37.6473	34.5223
-15.8	15.8	37.8871	34.7621
-15.9	15.9	38.1269	35.0019
-16.0	16.0	38.3667	35.2417
-16.1	16.1	38.6065	35.4815
-16.2	16.2	38.8463	35.7213
-16.3	16.3	39.086	35.961
-16.4	16.4	39.3258	36.2008
-16.5	16.5	39.5656	36.4406
-16.6	16.6	39.8054	36.6804
-16.7	16.7	40.0452	36.875
-16.8	16.8	40.285	36.9517
-16.9	16.9	40.5248	37.1915
-17.0	17.0	40.7646	37.4313
-17.1	17.1	41.0044	37.671
-17.2	17.2	41.2442	37.9108
-17.3	17.3	41.484	38.1506
-17.4	17.4	41.7237	38.3904
-17.5	17.5	41.9635	38.6302
-17.6	17.6	42.2033	38.75
-17.7	17.7	42.4431	38.9015
-17.8	17.8	42.6829	39.1412
-17.9	17.9	42.9227	39.381
-18.0	18.0	43.1625	39.6208
-18.1	18.1	43.4023	39.8606
-18.2	18.2	43.6421	40.1004
-18.3	18.3	43.8819	40.3402
-18.4	18.4	44.1217	40.58
-18.5	18.5	44.3615	40.625
-18.6	18.6	44.6013	40.8512
-18.7	18.7	44.841	41.091
-18.8	18.8	45.0808	41.3308
-18.9	18.9	45.3206	41.5706
-19.0	19.0	45.5604	41.8104
-19.1	19.1	45.8002	42.0502
-19.2	19.2	46.04	42.29
-19.3	19.3	46.2798	42.5298
-19.4	19.4	46.5196	42.7696
-19.5	19.5	46.7594	43.0094
-19.6	19.6	46.9992	43.2492
-19.7	19.7	47.239	43.3333
-19.8	19.8	47.4788	43.3333
-19.9	19.9	47.7185	43.3435
-20.0	20.0	47.9583	43.5833
-20.1	20.1	48.1981	43.8231
-20.2	20.2	48.4379	44.0629
-20.3	20.3	48.6777	44.3027
-20.4	20.4	48.9175	44.5425
-20.5	20.5	49.1573	44.7823
-20.6	20.6	49.3971	45
-20.7	20.7	49.6369	45.0535
-20.8	20.8	49.8767	45.2933
-20.9	20.9	50.1165	45.5331
-21.0	21.0	50.3563	45.7729
-21.1	21.1	50.596	46.0127
-21.2	21.2	50.8358	46.2525
-21.3	21.3	51.0756	46.4923
-21.4	21.4	51.3154	46.7321
-21.5	21.5	51.5552	46.9719
-21.6	21.6	51.795	47.2117
-21.7	21.7	52.0348	47.4515
-21.8	21.8	52.2746	47.6913
-21.9	21.9	52.5144	47.931
-22.0	22.0	52.7542	48.1708
-22.1	22.1	52.994	48.3333
-22.2	22.2	53.2338	48.4421
-22.3	22.3	53.4735	48.6819
-22.4	22.4	53.7133	48.9217
-22.5	22.5	53.9531	49.1615
-22.6	22.6	54.1929	49.1929
-22.7	22.7	54.4327	49.4327
-22.8	22.8	54.6725	49.6725
-22.9	22.9	54.9123	49.9123
-23.0	23.0	55.1521	50.1521
-23.1	23.1	55.3919	50.3919
-23.2	23.2	55.6317	50.625
-23.3	23.3	55.8715	50.625
-23.4	23.4	56.1112	50.6946
-23.5	23.5	56.351	50.9344
-23.6	23.6	56.5908	51.1742
-23.7	23.7	56.8306	51.25
-23.8	23.8	57.0704	51.4454
-23.9	23.9	57.3102	51.6852
-24.0	24.0	57.55	51.925
-24.1	24.1	57.7898	52.1648
-24.2	24.2	58.0296	52.4046
-24.3	24.3	58.2694	52.6444
-24.4	24.4	58.5092	52.7083
-24.5	24.5	58.749	52.9156
-24.6	24.6	58.9888	52.9471
-24.7	24.7	59.2285	53.1869
-24.8	24.8	59.4683	53.3333
-24.9	24.9	59.7081	53.4581
-25.0	25.0	59.9479	53.6979
-25.1	25.1	60.1877	53.9377
-25.2	25.2	60.4275	54.1775
-25.3	25.3	60.6673	54.4173
-25.4	25.4	60.9071	54.5833
-25.5	25.5	61.1469	54.6885
-25.6	25.6	61.3867	54.9283
-25.7	25.7	61.6265	55.1681
-25.8	25.8	61.8663	55.4079
-25.9	25.9	62.106	55.6477
-26.0	26.0	62.3458	55.8875
-26.1	26.1	62.5856	56.1273
-26.2	26.2	62.8254	56.25
-26.3	26.3	63.0652	56.3985
-26.4	26.4	63.305	56.6383
-26.5	26.5	63.5448	56.875
-26.6	26.6	63.7846	56.9096
-26.7	26.7	64.0244	57.0833
-26.8	26.8	64.2642	57.1808
-26.9	26.9	64.504	57.4206
-27.0	27.0	64.7438	57.6604
-27.1	27.1	64.9835	57.9002
-27.2	27.2	65.2233	58.14
-27.3	27.3	65.4631	58.3798
-27.4	27.4	65.7029	58.6196
-27.5	27.5	65.9427	58.75
-27.6	27.6	66.1825	58.75
-27.7	27.7	66.4223	58.75
-27.8	27.8	66.6621	58.9538
-27.9	27.9	66.9019	58.9852
-28.0	28.0	67.1417	59.225
-28.1	28.1	67.3815	59.4648
-28.2	28.2	67.6213	59.7046
-28.3	28.3	67.861	59.7917
-28.4	28.4	68.1008	59.9758
-28.5	28.5	68.3406	60.2156
-28.6	28.6	68.5804	60.4554
-28.7	28.7	68.8202	60.625
-28.8	28.8	69.06	60.7267
-28.9	28.9	69.2998	60.9665
-29.0	29.0	69.5396	61.0417
-29.1	29.1	69.7794	61.2377
-29.2	29.2	70.0192	61.4775
-29.3	29.3	70.259	61.7173
-29.4	29.4	70.4988	61.9571
-29.5	29.5	70.7385	62.1969
-29.6	29.6	70.9783	62.4367
-29.7	29.7	71.2181	62.6765
-29.8	29.8	71.4579	62.9162
-29.9	29.9	71.6977	63.156
-30.0	30.0	71.9375	63.3958
-30.1	30.1	72.1773	63.6356
-30.2	30.2	72.4171	63.8754
-30.3	30.3	72.6569	64.1152
-30.4	30.4	72.8967	64.355
-30.5	30.5	73.1365	64.5948
-30.6	30.6	73.3762	64.8346
-30.7	30.7	73.616	65
-30.8	30.8	73.8558	65.1058
-30.9	30.9	74.0956	65.3456
-31.0	31.0	74.3354	65.5854
-31.1	31.1	74.5752	65.8252
-31.2	31.2	74.815	65.8333
-31.3	31.3	75.0548	65.8333
-31.4	31.4	75.2946	65.8333
-31.5	31.5	75.5344	65.951
-31.6	31.6	75.7742	66.1908
-31.7	31.7	76.014	66.25
-31.8	31.8	76.2538	66.4621
-31.9	31.9	76.4935	66.7019
-32.0	32.0	76.7333	66.9417
-32.1	32.1	76.9731	67.0833
-32.2	32.2	77.2129	67.0833
-32.3	32.3	77.4527	67.0833
-32.4	32.4	77.6925	67.2758
-32.5	32.5	77.9323	67.5156
-32.6	32.6	78.1721	67.7554
-32.7	32.7	78.4119	67.9167
-32.8	32.8	78.6517	68.0267
-32.9	32.9	78.8915	68.125
-33.0	33.0	79.1313	68.125
-33.1	33.1	79.371	68.125
-33.2	33.2	79.6108	68.3608
-33.3	33.3	79.8506	68.5417
-33.4	33.4	80.0904	68.6321
-33.5	33.5	80.3302	68.75
-33.6	33.6	80.57	68.9033
-33.7	33.7	80.8098	68.9583
-33.8	33.8	81.0496	69.1746
-33.9	33.9	81.2894	69.4144
-34.0	34.0	81.5292	69.6542
-34.1	34.1	81.769	69.7917
-34.2	34.2	82.0088	69.7917
-34.3	34.3	82.2485	69.9569
-34.4	34.4	82.4883	70.1967
-34.5	34.5	82.7281	70.4365
-34.6	34.6	82.9679	70.625
-34.7	34.7	83.2077	70.7077
-34.8	34.8	83.4475	70.8333
-34.9	34.9	83.6873	70.8333
-35.0	35.0	83.9271	71.0104
-35.1	35.1	84.1669	71.25
-35.2	35.2	84.4067	71.2817
-35.3	35.3	84.6465	71.5215
-35.4	35.4	84.8862	71.6667
-35.5	35.5	85.126	71.7927
-35.6	35.6	85.3658	71.875
-35.7	35.7	85.6056	71.875
-35.8	35.8	85.8454	72.0954
-35.9	35.9	86.0852	72.2917
-36.0	36.0	86.325	72.3667
-36.1	36.1	86.5648	72.5
-36.2	36.2	86.8046	72.5
-36.3	36.3	87.0444	72.5
-36.4	36.4	87.2842	72.7008
-36.5	36.5	87.524	72.9406
-36.6	36.6	87.7638	73.1804
-36.7	36.7	88.0035	73.4202
-36.8	36.8	88.2433	73.5417
-36.9	36.9	88.4831	73.6915
-37.0	37.0	88.7229	73.9313
-37.1	37.1	88.9627	74.171
-37.2	37.2	89.2025	74.375
-37.3	37.3	89.4423	74.375
-37.4	37.4	89.6821	74.4737
-37.5	37.5	89.9219	74.7135
-37.6	37.6	90.1617	74.9533
-37.7	37.7	90.4015	75.1931
-37.8	37.8	90.6413	75.4167
-37.9	37.9	90.881	75.4644
-38.0	38.0	91.1208	75.625
-38.1	38.1	91.3606	75.7356
-38.2	38.2	91.6004	75.9754
-38.3	38.3	91.8402	76.2152
-38.4	38.4	92.08	76.455
-38.5	38.5	92.3198	76.4865
-38.6	38.6	92.5596	76.6667
-38.7	38.7	92.7994	76.7577
-38.8	38.8	93.0392	76.9975
-38.9	38.9	93.279	77.0833
-39.0	39.0	93.5188	77.2688
-39.1	39.1	93.7585	77.5
-39.2	39.2	93.9983	77.5
-39.3	39.3	94.2381	77.5
-39.4	39.4	94.4779	77.5
-39.5	39.5	94.7177	77.5
-39.6	39.6	94.9575	77.5
-39.7	39.7	95.1973	77.5
-39.8	39.8	95.4371	77.5
-39.9	39.9	95.6769	77.5519
-40.0	40.0	95.9167	77.7917
-40.1	40.1	96.1565	77.9167
-40.2	40.2	96.3963	77.9167
-40.3	40.3	96.636	78.0944
-40.4	40.4	96.8758	78.1258
-40.5	40.5	97.1156	78.3333
-40.6	40.6	97.3554	78.3333
-40.7	40.7	97.5952	78.4285
-40.8	40.8	97.835	78.5417
-40.9	40.9	98.0748	78.5417
-41.0	41.0	98.3146	78.5417
-41.1	41.1	98.5544	78.75
-41.2	41.2	98.7942	78.75
-41.3	41.3	99.034	78.75
-41.4	41.4	99.2738	78.75
-41.5	41.5	99.5135	78.75
-41.6	41.6	99.7533	78.75
-41.7	41.7	99.9931	78.75
-41.8	41.8	100	78.75
-41.9	41.9	100	78.806
-42.0	42.0	100	79.0458
-42.1	42.1	100	79.2856
-42.2	42.2	100	79.5254
-42.3	42.3	100	79.7652
-42.4	42.4	100	79.7967
-42.5	42.5	100	80.0365
-42.6	42.6	100	80.2083
-42.7	42.7	100	80.2083
-42.8	42.8	100	80.2083
-42.9	42.9	100	80.3706
-43.0	43.0	100	80.4167
-43.1	43.1	100	80.4167
-43.2	43.2	100	80.4167
-43.3	43.3	100	80.4167
-43.4	43.4	100	80.4167
-43.5	43.5	100	80.5594
-43.6	43.6	100	80.7992
-43.7	43.7	100	80.8333
-43.8	43.8	100	80.8333
-43.9	43.9	100	80.8935
-44.0	44.0	100	81.0417
-44.1	44.1	100	81.1648
-44.2	44.2	100	81.25
-44.3	44.3	100	81.25
-44.4	44.4	100	81.25
-44.5	44.5	100	81.2906
-44.6	44.6	100	81.4583
-44.7	44.7	100	81.4583
-44.8	44.8	100	81.4583
-44.9	44.9	100	81.6248
-45.0	45.0	100	81.8646
-45.1	45.1	100	81.875
-45.2	45.2	100	81.9275
-45.3	45.3	100	82.0833
-45.4	45.4	100	82.1988
-45.5	45.5	100	82.4385
-45.6	45.6	100	82.5
-45.7	45.7	100	82.7098
-45.8	45.8	100	82.9167
-45.9	45.9	100	82.9167
-46.0	46.0	100	82.9167
-46.1	46.1	100	82.9167
-46.2	46.2	100	82.9167
-46.3	46.3	100	82.9167
-46.4	46.4	100	82.93
-46.5	46.5	100	83.125
-46.6	46.6	100	83.2012
-46.7	46.7	100	83.3333
-46.8	46.8	100	83.3333
-46.9	46.9	100	83.3333
-47.0	47.0	100	83.3333
-47.1	47.1	100	83.3333
-47.2	47.2	100	83.3333
-47.3	47.3	100	83.3333
-47.4	47.4	100	83.3333
-47.5	47.5	100	83.4844
-47.6	47.6	100	83.5417
-47.7	47.7	100	83.5417
-47.8	47.8	100	83.5417
-47.9	47.9	100	83.5417
-48.0	48.0	100	83.5417
-48.1	48.1	100	83.5417
-48.2	48.2	100	83.7046
-48.3	48.3	100	83.75
-48.4	48.4	100	83.75
-48.5	48.5	100	83.75
-48.6	48.6	100	83.75
-48.7	48.7	100	83.75
-48.8	48.8	100	83.75
-48.9	48.9	100	83.75
-49.0	49.0	100	83.9562
-49.1	49.1	100	83.9583
-49.2	49.2	100	83.9583
-49.3	49.3	100	83.9583
-49.4	49.4	100	84.0821
-49.5	49.5	100	84.3219
-49.6	49.6	100	84.5617
-49.7	49.7	100	84.7917
-49.8	49.8	100	84.7917
-49.9	49.9	100	84.8644
-50.0	50.0	100	85
-50.1	50.1	100	85
-50.2	50.2	100	85
-50.3	50.3	100	85.1985
-50.4	50.4	100	85.4383
-50.5	50.5	100	85.625
-50.6	50.6	100	85.625
-50.7	50.7	100	85.625
-50.8	50.8	100	85.7725
-50.9	50.9	100	85.8333
-51.0	51.0	100	85.8333
-51.1	51.1	100	85.8669
-51.2	51.2	100	86.1067
-51.3	51.3	100	86.25
-51.4	51.4	100	86.25
-51.5	51.5	100	86.25
-51.6	51.6	100	86.4408
-51.7	51.7	100	86.4583
-51.8	51.8	100	86.4583
-51.9	51.9	100	86.5352
-52.0	52.0	100	86.775
-52.1	52.1	100	86.875
-52.2	52.2	100	86.875
-52.3	52.3	100	86.875
-52.4	52.4	100	87.1092
-52.5	52.5	100	87.2917
-52.6	52.6	100	87.3804
-52.7	52.7	100	87.5
-52.8	52.8	100	87.5
-52.9	52.9	100	87.6831
-53.0	53.0	100	87.9229
-53.1	53.1	100	88.125
-53.2	53.2	100	88.125
-53.3	53.3	100	88.125
-53.4	53.4	100	88.2571
-53.5	53.5	100	88.3333
-53.6	53.6	100	88.3333
-53.7	53.7	100	88.3333
-53.8	53.8	100	88.3333
-53.9	53.9	100	88.4144
-54.0	54.0	100	88.5417
-54.1	54.1	100	88.5417
-54.2	54.2	100	88.5417
-54.3	54.3	100	88.5417
-54.4	54.4	100	88.5717
-54.5	54.5	100	88.75
-54.6	54.6	100	88.75
-54.7	54.7	100	88.75
-54.8	54.8	100	88.75
-54.9	54.9	100	88.9373
-55.0	55.0	100	88.9583
-55.1	55.1	100	88.9583
-55.2	55.2	100	88.9583
-55.3	55.3	100	89.0631
-55.4	55.4	100	89.3029
-55.5	55.5	100	89.375
-55.6	55.6	100	89.375
-55.7	55.7	100	89.3973
-55.8	55.8	100	89.5833
-55.9	55.9	100	89.6685
-56.0	56.0	100	89.7917
-56.1	56.1	100	89.7917
-56.2	56.2	100	89.7917
-56.3	56.3	100	89.7917
-56.4	56.4	100	89.8258
-56.5	56.5	100	90
-56.6	56.6	100	90
-56.7	56.7	100	90.1285
-56.8	56.8	100	90.2083
-56.9	56.9	100	90.2083
-57.0	57.0	100	90.4167
-57.1	57.1	100	90.4167
-57.2	57.2	100	90.4167
-57.3	57.3	100	90.4167
-57.4	57.4	100	90.4167
-57.5	57.5	100	90.4167
-57.6	57.6	100	90.4167
-57.7	57.7	100	90.4431
-57.8	57.8	100	90.625
-57.9	57.9	100	90.625
-58.0	58.0	100	90.7458
-58.1	58.1	100	90.8333
-58.2	58.2	100	90.8333
-58.3	58.3	100	90.8333
-58.4	58.4	100	90.8333
-58.5	58.5	100	90.9031
-58.6	58.6	100	91.0417
-58.7	58.7	100	91.0417
-58.8	58.8	100	91.0417
-58.9	58.9	100	91.0417
-59.0	59.0	100	91.0604
-59.1	59.1	100	91.25
-59.2	59.2	100	91.25
-59.3	59.3	100	91.3631
-59.4	59.4	100	91.6029
-59.5	59.5	100	91.6667
-59.6	59.6	100	91.6667
-59.7	59.7	100	91.6973
-59.8	59.8	100	91.875
-59.9	59.9	100	91.875
-60.0	60.0	100	91.875
-60.1	60.1	100	91.875
-60.2	60.2	100	91.875
-60.3	60.3	100	92.0833
-60.4	60.4	100	92.0833
-60.5	60.5	100	92.0833
-60.6	60.6	100	92.0833
-60.7	60.7	100	92.0833
-60.8	60.8	100	92.2517
-60.9	60.9	100	92.2917
-61.0	61.0	100	92.5
-61.1	61.1	100	92.5
-61.2	61.2	100	92.5
-61.3	61.3	100	92.5
-61.4	61.4	100	92.5
-61.5	61.5	100	92.5
-61.6	61.6	100	92.5
-61.7	61.7	100	92.5348
-61.8	61.8	100	92.7083
-61.9	61.9	100	92.7083
-62.0	62.0	100	92.8375
-62.1	62.1	100	92.9167
-62.2	62.2	100	92.9167
-62.3	62.3	100	92.9319
-62.4	62.4	100	93.125
-62.5	62.5	100	93.125
-62.6	62.6	100	93.125
-62.7	62.7	100	93.125
-62.8	62.8	100	93.125
-62.9	62.9	100	93.125
-63.0	63.0	100	93.125
-63.1	63.1	100	93.125
-63.2	63.2	100	93.215
-63.3	63.3	100	93.3333
-63.4	63.4	100	93.3333
-63.5	63.5	100	93.3333
-63.6	63.6	100	93.3333
-63.7	63.7	100	93.3333
-63.8	63.8	100	93.3333
-63.9	63.9	100	93.4352
-64.0	64.0	100	93.5417
-64.1	64.1	100	93.5417
-64.2	64.2	100	93.5417
-64.3	64.3	100	93.5417
-64.4	64.4	100	93.5417
-64.5	64.5	100	93.5417
-64.6	64.6	100	93.5417
-64.7	64.7	100	93.5417
-64.8	64.8	100	93.5417
-64.9	64.9	100	93.5417
-65.0	65.0	100	93.5417
-65.1	65.1	100	93.6044
-65.2	65.2	100	93.8442
-65.3	65.3	100	93.9583
-65.4	65.4	100	93.9583
-65.5	65.5	100	93.9583
-65.6	65.6	100	93.97
-65.7	65.7	100	94.1667
-65.8	65.8	100	94.1667
-65.9	65.9	100	94.1667
-66.0	66.0	100	94.1667
-66.1	66.1	100	94.1667
-66.2	66.2	100	94.3671
-66.3	66.3	100	94.375
-66.4	66.4	100	94.375
-66.5	66.5	100	94.375
-66.6	66.6	100	94.4929
-66.7	66.7	100	94.5833
-66.8	66.8	100	94.5833
-66.9	66.9	100	94.5833
-67.0	67.0	100	94.5833
-67.1	67.1	100	94.5833
-67.2	67.2	100	94.5833
-67.3	67.3	100	94.5833
-67.4	67.4	100	94.5833
-67.5	67.5	100	94.776
-67.6	67.6	100	94.8075
-67.7	67.7	100	95
-67.8	67.8	100	95.0788
-67.9	67.9	100	95.3185
-68.0	68.0	100	95.4167
-68.1	68.1	100	95.4167
-68.2	68.2	100	95.4167
-68.3	68.3	100	95.625
-68.4	68.4	100	95.625
-68.5	68.5	100	95.625
-68.6	68.6	100	95.625
-68.7	68.7	100	95.625
-68.8	68.8	100	95.81
-68.9	68.9	100	95.8333
-69.0	69.0	100	95.8333
-69.1	69.1	100	95.8333
-69.2	69.2	100	95.8333
-69.3	69.3	100	95.8333
-69.4	69.4	100	95.8333
-69.5	69.5	100	95.8333
-69.6	69.6	100	95.8333
-69.7	69.7	100	95.8333
-69.8	69.8	100	95.8333
-69.9	69.9	100	95.8333
-70.0	70.0	100	95.8333
-70.1	70.1	100	95.8333
-70.2	70.2	100	95.8333
-70.3	70.3	100	95.8333
-70.4	70.4	100	95.8333
-70.5	70.5	100	95.8333
-70.6	70.6	100	95.8333
-70.7	70.7	100	95.8333
-70.8	70.8	100	95.8333
-70.9	70.9	100	95.8333
-71.0	71.0	100	95.8771
-71.1	71.1	100	96.0417
-71.2	71.2	100	96.0417
-71.3	71.3	100	96.0417
-71.4	71.4	100	96.0417
-71.5	71.5	100	96.0417
-71.6	71.6	100	96.0417
-71.7	71.7	100	96.0417
-71.8	71.8	100	96.0417
-71.9	71.9	100	96.0417
-72.0	72.0	100	96.0417
-72.1	72.1	100	96.2231
-72.2	72.2	100	96.25
-72.3	72.3	100	96.25
-72.4	72.4	100	96.25
-72.5	72.5	100	96.25
-72.6	72.6	100	96.25
-72.7	72.7	100	96.25
-72.8	72.8	100	96.25
-72.9	72.9	100	96.4583
-73.0	73.0	100	96.4583
-73.1	73.1	100	96.4583
-73.2	73.2	100	96.4583
-73.3	73.3	100	96.4583
-73.4	73.4	100	96.6321
-73.5	73.5	100	96.6667
-73.6	73.6	100	96.6667
-73.7	73.7	100	96.6667
-73.8	73.8	100	96.6667
-73.9	73.9	100	96.6667
-74.0	74.0	100	96.6667
-74.1	74.1	100	96.6667
-74.2	74.2	100	96.6667
-74.3	74.3	100	96.6667
-74.4	74.4	100	96.6667
-74.5	74.5	100	96.6667
-74.6	74.6	100	96.6667
-74.7	74.7	100	96.6667
-74.8	74.8	100	96.6667
-74.9	74.9	100	96.6667
-75.0	75.0	100	96.6667
-75.1	75.1	100	96.6667
-75.2	75.2	100	96.6667
-75.3	75.3	100	96.6667
-75.4	75.4	100	96.6667
-75.5	75.5	100	96.6667
-75.6	75.6	100	96.6667
-75.7	75.7	100	96.6667
-75.8	75.8	100	96.6667
-75.9	75.9	100	96.6667
-76.0	76.0	100	96.6667
-76.1	76.1	100	96.8565
-76.2	76.2	100	96.875
-76.3	76.3	100	96.875
-76.4	76.4	100	96.875
-76.5	76.5	100	96.875
-76.6	76.6	100	96.875
-76.7	76.7	100	96.875
-76.8	76.8	100	96.875
-76.9	76.9	100	96.875
-77.0	77.0	100	96.875
-77.1	77.1	100	96.875
-77.2	77.2	100	96.875
-77.3	77.3	100	96.875
-77.4	77.4	100	96.875
-77.5	77.5	100	96.875
-77.6	77.6	100	96.875
-77.7	77.7	100	96.875
-77.8	77.8	100	96.9746
-77.9	77.9	100	97.0833
-78.0	78.0	100	97.2458
-78.1	78.1	100	97.2917
-78.2	78.2	100	97.2917
-78.3	78.3	100	97.2917
-78.4	78.4	100	97.3717
-78.5	78.5	100	97.5
-78.6	78.6	100	97.5
-78.7	78.7	100	97.5
-78.8	78.8	100	97.5
-78.9	78.9	100	97.5
-79.0	79.0	100	97.5
-79.1	79.1	100	97.5
-79.2	79.2	100	97.5
-79.3	79.3	100	97.5
-79.4	79.4	100	97.5
-79.5	79.5	100	97.7083
-79.6	79.6	100	97.7083
-79.7	79.7	100	97.7083
-79.8	79.8	100	97.7083
-79.9	79.9	100	97.7083
-80.0	80.0	100	97.7083
-80.1	80.1	100	97.7083
-80.2	80.2	100	97.9167
-80.3	80.3	100	97.9694
-80.4	80.4	100	98.125
-80.5	80.5	100	98.125
-80.6	80.6	100	98.125
-80.7	80.7	100	98.125
-80.8	80.8	100	98.125
-80.9	80.9	100	98.125
-81.0	81.0	100	98.1573
-81.1	81.1	100	98.2772
-81.2	81.2	100	98.3333
-81.3	81.3	100	98.3333
-81.4	81.4	100	98.3333
-81.5	81.5	100	98.3333
-81.6	81.6	100	98.3333
-81.7	81.7	100	98.3333
-81.8	81.8	100	98.3333
-81.9	81.9	100	98.3333
-82.0	82.0	100	98.3333
-82.1	82.1	100	98.3333
-82.2	82.2	100	98.3333
-82.3	82.3	100	98.3333
-82.4	82.4	100	98.3333
-82.5	82.5	100	98.3333
-82.6	82.6	100	98.3333
-82.7	82.7	100	98.3333
-82.8	82.8	100	98.3333
-82.9	82.9	100	98.3333
-83.0	83.0	100	98.3333
-83.1	83.1	100	98.3333
-83.2	83.2	100	98.3333
-83.3	83.3	100	98.3333
-83.4	83.4	100	98.3333
-83.5	83.5	100	98.3333
-83.6	83.6	100	98.3333
-83.7	83.7	100	98.3333
-83.8	83.8	100	98.3333
-83.9	83.9	100	98.3333
-84.0	84.0	100	98.3333
-84.1	84.1	100	98.3333
-84.2	84.2	100	98.3333
-84.3	84.3	100	98.3333
-84.4	84.4	100	98.3333
-84.5	84.5	100	98.4573
-84.6	84.6	100	98.6971
-84.7	84.7	100	98.75
-84.8	84.8	100	98.75
-84.9	84.9	100	98.75
-85.0	85.0	100	98.75
-85.1	85.1	100	98.75
-85.2	85.2	100	98.8858
-85.3	85.3	100	98.9583
-85.4	85.4	100	98.9583
-85.5	85.5	100	98.9583
-85.6	85.6	100	98.9583
-85.7	85.7	100	98.9583
-85.8	85.8	100	98.9583
-85.9	85.9	100	98.9583
-86.0	86.0	100	98.9583
-86.1	86.1	100	98.9583
-86.2	86.2	100	98.9583
-86.3	86.3	100	98.9583
-86.4	86.4	100	98.9583
-86.5	86.5	100	98.9583
-86.6	86.6	100	98.9583
-86.7	86.7	100	98.9583
-86.8	86.8	100	98.9583
-86.9	86.9	100	98.9583
-87.0	87.0	100	98.9583
-87.1	87.1	100	98.9583
-87.2	87.2	100	98.9583
-87.3	87.3	100	98.9583
-87.4	87.4	100	98.9583
-87.5	87.5	100	98.9583
-87.6	87.6	100	98.9583
-87.7	87.7	100	98.9583
-87.8	87.8	100	98.9583
-87.9	87.9	100	98.9583
-88.0	88.0	100	98.9583
-88.1	88.1	100	98.9583
-88.2	88.2	100	98.9583
-88.3	88.3	100	99.0277
-88.4	88.4	100	99.2675
-88.5	88.5	100	99.375
-88.6	88.6	100	99.375
-88.7	88.7	100	99.375
-88.8	88.8	100	99.375
-88.9	88.9	100	99.375
-89.0	89.0	100	99.375
-89.1	89.1	100	99.375
-89.2	89.2	100	99.375
-89.3	89.3	100	99.375
-89.4	89.4	100	99.375
-89.5	89.5	100	99.375
-89.6	89.6	100	99.375
-89.7	89.7	100	99.375
-89.8	89.8	100	99.375
-89.9	89.9	100	99.375
-90.0	90.0	100	99.375
-90.1	90.1	100	99.375
-90.2	90.2	100	99.375
-90.3	90.3	100	99.375
-90.4	90.4	100	99.375
-90.5	90.5	100	99.375
-90.6	90.6	100	99.375
-90.7	90.7	100	99.375
-90.8	90.8	100	99.375
-90.9	90.9	100	99.375
-91.0	91.0	100	99.375
-91.1	91.1	100	99.375
-91.2	91.2	100	99.375
-91.3	91.3	100	99.375
-91.4	91.4	100	99.375
-91.5	91.5	100	99.375
-91.6	91.6	100	99.375
-91.7	91.7	100	99.375
-91.8	91.8	100	99.375
-91.9	91.9	100	99.375
-92.0	92.0	100	99.375
-92.1	92.1	100	99.375
-92.2	92.2	100	99.375
-92.3	92.3	100	99.375
-92.4	92.4	100	99.375
-92.5	92.5	100	99.375
-92.6	92.6	100	99.375
-92.7	92.7	100	99.375
-92.8	92.8	100	99.375
-92.9	92.9	100	99.375
-93.0	93.0	100	99.375
-93.1	93.1	100	99.375
-93.2	93.2	100	99.375
-93.3	93.3	100	99.375
-93.4	93.4	100	99.375
-93.5	93.5	100	99.375
-93.6	93.6	100	99.375
-93.7	93.7	100	99.375
-93.8	93.8	100	99.5079
-93.9	93.9	100	99.5833
-94.0	94.0	100	99.5833
-94.1	94.1	100	99.5833
-94.2	94.2	100	99.5833
-94.3	94.3	100	99.5833
-94.4	94.4	100	99.5833
-94.5	94.5	100	99.5833
-94.6	94.6	100	99.5833
-94.7	94.7	100	99.5833
-94.8	94.8	100	99.5833
-94.9	94.9	100	99.5833
-95.0	95.0	100	99.5833
-95.1	95.1	100	99.5833
-95.2	95.2	100	99.5833
-95.3	95.3	100	99.5833
-95.4	95.4	100	99.5833
-95.5	95.5	100	99.5833
-95.6	95.6	100	99.5833
-95.7	95.7	100	99.5833
-95.8	95.8	100	99.5833
-95.9	95.9	100	99.5833
-96.0	96.0	100	99.5833
-96.1	96.1	100	99.5833
-96.2	96.2	100	99.5833
-96.3	96.3	100	99.5833
-96.4	96.4	100	99.5833
-96.5	96.5	100	99.5833
-96.6	96.6	100	99.5833
-96.7	96.7	100	99.7917
-96.8	96.8	100	99.7917
-96.9	96.9	100	99.7917
-97.0	97.0	100	99.7917
-97.1	97.1	100	99.7917
-97.2	97.2	100	99.7917
-97.3	97.3	100	99.7917
-97.4	97.4	100	99.7917
-97.5	97.5	100	99.7917
-97.6	97.6	100	99.7917
-97.7	97.7	100	99.7917
-97.8	97.8	100	99.7917
-97.9	97.9	100	99.7917
-98.0	98.0	100	99.9958
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	positive
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.772483	0.101342
-0.2	0.2	1.54497	0.671141
-0.3	0.3	2.31745	0.975168
-0.4	0.4	3.08993	1.74765
-0.5	0.5	3.86242	2.52013
-0.6	0.6	4.6349	2.68456
-0.7	0.7	5.40738	3.39396
-0.8	0.8	6.17987	4.16644
-0.9	0.9	6.95235	4.93893
-1.0	1.0	7.72483	5.71141
-1.1	1.1	8.49732	6.48389
-1.2	1.2	9.2698	7.25638
-1.3	1.3	10.0423	7.38255
-1.4	1.4	10.8148	8.05369
-1.5	1.5	11.5872	8.05369
-1.6	1.6	12.3597	8.33289
-1.7	1.7	13.1322	9.10537
-1.8	1.8	13.9047	9.39597
-1.9	1.9	14.6772	9.97919
-2.0	2.0	15.4497	10.7517
-2.1	2.1	16.2221	11.5242
-2.2	2.2	16.9946	12.0805
-2.3	2.3	17.7671	12.398
-2.4	2.4	18.5396	13.1705
-2.5	2.5	19.3121	13.943
-2.6	2.6	20.0846	14.094
-2.7	2.7	20.857	14.1456
-2.8	2.8	21.6295	14.9181
-2.9	2.9	22.402	15.6906
-3.0	3.0	23.1745	16.1074
-3.1	3.1	23.947	16.1074
-3.2	3.2	24.7195	16.1074
-3.3	3.3	25.4919	16.7671
-3.4	3.4	26.2644	17.4497
-3.5	3.5	27.0369	17.4497
-3.6	3.6	27.8094	17.7423
-3.7	3.7	28.5819	18.5148
-3.8	3.8	29.3544	18.7919
-3.9	3.9	30.1268	19.3886
-4.0	4.0	30.8993	19.4899
-4.1	4.1	31.6718	20.1342
-4.2	4.2	32.4443	20.3638
-4.3	4.3	33.2168	20.8054
-4.4	4.4	33.9893	20.8054
-4.5	4.5	34.7617	21.3389
-4.6	4.6	35.5342	21.4765
-4.7	4.7	36.3067	21.5416
-4.8	4.8	37.0792	22.3141
-4.9	4.9	37.8517	22.8188
-5.0	5.0	38.6242	22.8188
-5.1	5.1	39.3966	22.8188
-5.2	5.2	40.1691	22.8188
-5.3	5.3	40.9416	22.8208
-5.4	5.4	41.7141	23.5933
-5.5	5.5	42.4866	24.1611
-5.6	5.6	43.2591	24.4671
-5.7	5.7	44.0315	24.8322
-5.8	5.8	44.804	25.3409
-5.9	5.9	45.5765	26.1134
-6.0	6.0	46.349	26.8859
-6.1	6.1	47.1215	27.6584
-6.2	6.2	47.894	28.1879
-6.3	6.3	48.6664	28.1879
-6.4	6.4	49.4389	28.1879
-6.5	6.5	50.2114	28.1879
-6.6	6.6	50.9839	28.1879
-6.7	6.7	51.7564	28.9376
-6.8	6.8	52.5289	29.5302
-6.9	6.9	53.3013	29.5302
-7.0	7.0	54.0738	29.5302
-7.1	7.1	54.8463	30.0141
-7.2	7.2	55.6188	30.7866
-7.3	7.3	56.3913	30.8879
-7.4	7.4	57.1638	31.6604
-7.5	7.5	57.9362	32.4329
-7.6	7.6	58.7087	32.8859
-7.7	7.7	59.4812	32.8859
-7.8	7.8	60.2537	33.4081
-7.9	7.9	61.0262	33.557
-8.0	8.0	61.7987	33.6107
-8.1	8.1	62.5711	34.2282
-8.2	8.2	63.3436	34.4846
-8.3	8.3	64.1161	34.8993
-8.4	8.4	64.8886	35.3584
-8.5	8.5	65.6611	35.5705
-8.6	8.6	66.4336	35.5705
-8.7	8.7	67.206	35.6624
-8.8	8.8	67.9785	36.4349
-8.9	8.9	68.751	37.2074
-9.0	9.0	69.5235	37.9799
-9.1	9.1	70.296	38.255
-9.2	9.2	71.0685	38.255
-9.3	9.3	71.8409	38.955
-9.4	9.4	72.6134	39.7275
-9.5	9.5	73.3859	40.2685
-9.6	9.6	74.1584	40.2685
-9.7	9.7	74.9309	40.7027
-9.8	9.8	75.7034	40.9396
-9.9	9.9	76.4758	40.9396
-10.0	10.0	77.2483	41.6779
-10.1	10.1	78.0208	42.4503
-10.2	10.2	78.7933	42.953
-10.3	10.3	79.5658	43.3242
-10.4	10.4	80.3383	43.6242
-10.5	10.5	81.1107	44.198
-10.6	10.6	81.8832	44.2953
-10.7	10.7	82.6557	44.2953
-10.8	10.8	83.4282	44.2953
-10.9	10.9	84.2007	44.2953
-11.0	11.0	84.9732	44.7047
-11.1	11.1	85.7456	44.9664
-11.2	11.2	86.5181	45.5785
-11.3	11.3	87.2906	46.3087
-11.4	11.4	88.0631	46.3087
-11.5	11.5	88.8356	46.5537
-11.6	11.6	89.6081	47.3262
-11.7	11.7	90.3805	48.0987
-11.8	11.8	91.153	48.3221
-11.9	11.9	91.9255	48.3221
-12.0	12.0	92.698	48.3221
-12.1	12.1	93.4705	48.3221
-12.2	12.2	94.243	48.6054
-12.3	12.3	95.0154	48.9933
-12.4	12.4	95.7879	48.9933
-12.5	12.5	96.5604	49.5805
-12.6	12.6	97.3329	50.3356
-12.7	12.7	98.1054	50.3356
-12.8	12.8	98.8779	50.3356
-12.9	12.9	99.6503	50.657
-13.0	13.0	100	51.0067
-13.1	13.1	100	51.0067
-13.2	13.2	100	51.0067
-13.3	13.3	100	51.0624
-13.4	13.4	100	51.8349
-13.5	13.5	100	52.6074
-13.6	13.6	100	53.3799
-13.7	13.7	100	53.6913
-13.8	13.8	100	53.6913
-13.9	13.9	100	54.355
-14.0	14.0	100	55.0336
-14.1	14.1	100	55.0336
-14.2	14.2	100	55.0336
-14.3	14.3	100	55.0336
-14.4	14.4	100	55.5329
-14.5	14.5	100	55.7047
-14.6	14.6	100	56.3758
-14.7	14.7	100	56.5081
-14.8	14.8	100	57.047
-14.9	14.9	100	57.3819
-15.0	15.0	100	58.1544
-15.1	15.1	100	58.9268
-15.2	15.2	100	59.0604
-15.3	15.3	100	59.0604
-15.4	15.4	100	59.0604
-15.5	15.5	100	59.0604
-15.6	15.6	100	59.0604
-15.7	15.7	100	59.5349
-15.8	15.8	100	59.7315
-15.9	15.9	100	59.7315
-16.0	16.0	100	59.7315
-16.1	16.1	100	59.7315
-16.2	16.2	100	59.7315
-16.3	16.3	100	59.7315
-16.4	16.4	100	59.7315
-16.5	16.5	100	59.7315
-16.6	16.6	100	60.4027
-16.7	16.7	100	60.4027
-16.8	16.8	100	60.4027
-16.9	16.9	100	60.751
-17.0	17.0	100	61.5235
-17.1	17.1	100	61.745
-17.2	17.2	100	61.745
-17.3	17.3	100	62.4161
-17.4	17.4	100	62.4161
-17.5	17.5	100	62.4161
-17.6	17.6	100	62.4161
-17.7	17.7	100	62.4161
-17.8	17.8	100	62.4161
-17.9	17.9	100	62.4356
-18.0	18.0	100	63.0872
-18.1	18.1	100	63.0872
-18.2	18.2	100	63.0872
-18.3	18.3	100	63.0872
-18.4	18.4	100	63.0872
-18.5	18.5	100	63.0872
-18.6	18.6	100	63.7584
-18.7	18.7	100	63.7584
-18.8	18.8	100	63.7584
-18.9	18.9	100	63.7584
-19.0	19.0	100	64.2215
-19.1	19.1	100	64.4295
-19.2	19.2	100	64.4295
-19.3	19.3	100	65.1007
-19.4	19.4	100	65.1007
-19.5	19.5	100	65.1007
-19.6	19.6	100	65.1007
-19.7	19.7	100	65.602
-19.8	19.8	100	65.7718
-19.9	19.9	100	65.7718
-20.0	20.0	100	65.7718
-20.1	20.1	100	66.0074
-20.2	20.2	100	66.443
-20.3	20.3	100	66.443
-20.4	20.4	100	66.443
-20.5	20.5	100	66.443
-20.6	20.6	100	67.1141
-20.7	20.7	100	67.1141
-20.8	20.8	100	67.1141
-20.9	20.9	100	67.1141
-21.0	21.0	100	67.1141
-21.1	21.1	100	67.1141
-21.2	21.2	100	67.1141
-21.3	21.3	100	67.1141
-21.4	21.4	100	67.1141
-21.5	21.5	100	67.1141
-21.6	21.6	100	67.1141
-21.7	21.7	100	67.6289
-21.8	21.8	100	68.4013
-21.9	21.9	100	68.4564
-22.0	22.0	100	68.604
-22.1	22.1	100	69.1275
-22.2	22.2	100	69.4779
-22.3	22.3	100	69.7987
-22.4	22.4	100	70.3517
-22.5	22.5	100	70.4698
-22.6	22.6	100	70.4698
-22.7	22.7	100	70.4698
-22.8	22.8	100	70.4698
-22.9	22.9	100	70.4698
-23.0	23.0	100	70.4698
-23.1	23.1	100	70.4698
-23.2	23.2	100	70.4698
-23.3	23.3	100	70.4698
-23.4	23.4	100	70.4698
-23.5	23.5	100	70.4698
-23.6	23.6	100	70.4698
-23.7	23.7	100	70.4698
-23.8	23.8	100	70.4698
-23.9	23.9	100	70.4698
-24.0	24.0	100	70.4698
-24.1	24.1	100	70.4698
-24.2	24.2	100	70.8336
-24.3	24.3	100	71.1409
-24.4	24.4	100	71.1409
-24.5	24.5	100	71.1409
-24.6	24.6	100	71.2389
-24.7	24.7	100	71.8121
-24.8	24.8	100	71.8121
-24.9	24.9	100	71.8121
-25.0	25.0	100	71.8121
-25.1	25.1	100	71.8121
-25.2	25.2	100	71.8121
-25.3	25.3	100	71.8121
-25.4	25.4	100	71.8121
-25.5	25.5	100	71.8121
-25.6	25.6	100	71.8121
-25.7	25.7	100	71.8121
-25.8	25.8	100	72.455
-25.9	25.9	100	73.1544
-26.0	26.0	100	73.1544
-26.1	26.1	100	73.1544
-26.2	26.2	100	73.5315
-26.3	26.3	100	74.304
-26.4	26.4	100	74.4966
-26.5	26.5	100	74.4966
-26.6	26.6	100	74.4966
-26.7	26.7	100	74.4966
-26.8	26.8	100	74.4966
-26.9	26.9	100	74.4966
-27.0	27.0	100	74.4966
-27.1	27.1	100	74.4966
-27.2	27.2	100	74.4966
-27.3	27.3	100	74.4966
-27.4	27.4	100	74.4966
-27.5	27.5	100	74.4966
-27.6	27.6	100	74.4966
-27.7	27.7	100	75.0517
-27.8	27.8	100	75.1678
-27.9	27.9	100	75.1678
-28.0	28.0	100	75.1678
-28.1	28.1	100	75.1678
-28.2	28.2	100	75.1678
-28.3	28.3	100	75.1678
-28.4	28.4	100	75.1678
-28.5	28.5	100	75.1678
-28.6	28.6	100	75.1678
-28.7	28.7	100	75.1678
-28.8	28.8	100	75.1678
-28.9	28.9	100	75.1678
-29.0	29.0	100	75.1678
-29.1	29.1	100	75.1678
-29.2	29.2	100	75.1678
-29.3	29.3	100	75.1678
-29.4	29.4	100	75.1678
-29.5	29.5	100	75.1678
-29.6	29.6	100	75.6349
-29.7	29.7	100	75.8389
-29.8	29.8	100	75.8389
-29.9	29.9	100	75.8389
-30.0	30.0	100	75.8389
-30.1	30.1	100	75.8389
-30.2	30.2	100	75.8389
-30.3	30.3	100	75.8389
-30.4	30.4	100	75.8389
-30.5	30.5	100	75.8758
-30.6	30.6	100	76.5101
-30.7	30.7	100	76.7497
-30.8	30.8	100	77.1812
-30.9	30.9	100	77.1812
-31.0	31.0	100	77.1812
-31.1	31.1	100	77.1812
-31.2	31.2	100	77.1812
-31.3	31.3	100	77.1812
-31.4	31.4	100	77.1812
-31.5	31.5	100	77.5604
-31.6	31.6	100	77.8523
-31.7	31.7	100	77.8523
-31.8	31.8	100	77.8523
-31.9	31.9	100	77.8523
-32.0	32.0	100	77.8523
-32.1	32.1	100	77.8523
-32.2	32.2	100	78.2698
-32.3	32.3	100	78.5235
-32.4	32.4	100	78.5235
-32.5	32.5	100	78.5235
-32.6	32.6	100	78.5235
-32.7	32.7	100	78.5235
-32.8	32.8	100	78.5235
-32.9	32.9	100	78.5235
-33.0	33.0	100	78.5235
-33.1	33.1	100	78.5235
-33.2	33.2	100	78.6121
-33.3	33.3	100	79.1946
-33.4	33.4	100	79.1946
-33.5	33.5	100	79.1946
-33.6	33.6	100	79.1946
-33.7	33.7	100	79.1946
-33.8	33.8	100	79.8658
-33.9	33.9	100	79.8658
-34.0	34.0	100	79.8658
-34.1	34.1	100	79.8658
-34.2	34.2	100	80.2966
-34.3	34.3	100	80.5369
-34.4	34.4	100	80.5369
-34.5	34.5	100	81.2081
-34.6	34.6	100	81.2081
-34.7	34.7	100	81.2081
-34.8	34.8	100	81.2081
-34.9	34.9	100	81.2081
-35.0	35.0	100	81.2081
-35.1	35.1	100	81.2081
-35.2	35.2	100	81.2081
-35.3	35.3	100	81.2081
-35.4	35.4	100	81.2081
-35.5	35.5	100	81.2081
-35.6	35.6	100	81.7154
-35.7	35.7	100	82.4879
-35.8	35.8	100	82.5503
-35.9	35.9	100	82.5503
-36.0	36.0	100	82.5503
-36.1	36.1	100	82.5503
-36.2	36.2	100	82.5503
-36.3	36.3	100	82.5503
-36.4	36.4	100	82.5503
-36.5	36.5	100	82.5503
-36.6	36.6	100	82.5503
-36.7	36.7	100	82.5503
-36.8	36.8	100	82.5503
-36.9	36.9	100	82.5503
-37.0	37.0	100	82.5503
-37.1	37.1	100	82.5503
-37.2	37.2	100	82.5503
-37.3	37.3	100	82.5503
-37.4	37.4	100	82.5503
-37.5	37.5	100	82.5503
-37.6	37.6	100	82.5503
-37.7	37.7	100	82.5503
-37.8	37.8	100	82.5503
-37.9	37.9	100	82.5503
-38.0	38.0	100	82.5503
-38.1	38.1	100	82.5503
-38.2	38.2	100	82.5503
-38.3	38.3	100	82.5503
-38.4	38.4	100	82.5503
-38.5	38.5	100	82.5503
-38.6	38.6	100	82.5503
-38.7	38.7	100	82.5503
-38.8	38.8	100	82.5503
-38.9	38.9	100	82.5503
-39.0	39.0	100	82.5503
-39.1	39.1	100	82.5503
-39.2	39.2	100	82.5503
-39.3	39.3	100	82.5503
-39.4	39.4	100	82.5503
-39.5	39.5	100	82.5503
-39.6	39.6	100	82.5503
-39.7	39.7	100	82.5503
-39.8	39.8	100	82.5503
-39.9	39.9	100	82.5503
-40.0	40.0	100	82.5503
-40.1	40.1	100	82.5503
-40.2	40.2	100	82.5503
-40.3	40.3	100	82.5503
-40.4	40.4	100	82.5503
-40.5	40.5	100	82.5503
-40.6	40.6	100	82.5503
-40.7	40.7	100	82.5503
-40.8	40.8	100	82.5503
-40.9	40.9	100	82.5503
-41.0	41.0	100	82.5503
-41.1	41.1	100	82.5503
-41.2	41.2	100	82.5503
-41.3	41.3	100	82.5503
-41.4	41.4	100	82.5503
-41.5	41.5	100	82.9966
-41.6	41.6	100	83.2215
-41.7	41.7	100	83.2215
-41.8	41.8	100	83.2215
-41.9	41.9	100	83.2215
-42.0	42.0	100	83.2215
-42.1	42.1	100	83.2215
-42.2	42.2	100	83.706
-42.3	42.3	100	83.8926
-42.4	42.4	100	83.8926
-42.5	42.5	100	83.8926
-42.6	42.6	100	83.8926
-42.7	42.7	100	84.2128
-42.8	42.8	100	84.5638
-42.9	42.9	100	84.5638
-43.0	43.0	100	84.5638
-43.1	43.1	100	84.6181
-43.2	43.2	100	85.2349
-43.3	43.3	100	85.2349
-43.4	43.4	100	85.2349
-43.5	43.5	100	85.2349
-43.6	43.6	100	85.2349
-43.7	43.7	100	85.2349
-43.8	43.8	100	85.2349
-43.9	43.9	100	85.2349
-44.0	44.0	100	85.2349
-44.1	44.1	100	85.2349
-44.2	44.2	100	85.2349
-44.3	44.3	100	85.2349
-44.4	44.4	100	85.2349
-44.5	44.5	100	85.2349
-44.6	44.6	100	85.2349
-44.7	44.7	100	85.2349
-44.8	44.8	100	85.6698
-44.9	44.9	100	85.906
-45.0	45.0	100	85.906
-45.1	45.1	100	85.906
-45.2	45.2	100	85.906
-45.3	45.3	100	85.906
-45.4	45.4	100	85.906
-45.5	45.5	100	85.906
-45.6	45.6	100	85.906
-45.7	45.7	100	85.9107
-45.8	45.8	100	86.5772
-45.9	45.9	100	86.5772
-46.0	46.0	100	86.5772
-46.1	46.1	100	86.5772
-46.2	46.2	100	86.5772
-46.3	46.3	100	86.5772
-46.4	46.4	100	86.5772
-46.5	46.5	100	86.5772
-46.6	46.6	100	86.5772
-46.7	46.7	100	86.5772
-46.8	46.8	100	86.5772
-46.9	46.9	100	87.1268
-47.0	47.0	100	87.2483
-47.1	47.1	100	87.2483
-47.2	47.2	100	87.2483
-47.3	47.3	100	87.2483
-47.4	47.4	100	87.2483
-47.5	47.5	100	87.2483
-47.6	47.6	100	87.2483
-47.7	47.7	100	87.9376
-47.8	47.8	100	88.5906
-47.9	47.9	100	88.5906
-48.0	48.0	100	88.5906
-48.1	48.1	100	88.5906
-48.2	48.2	100	88.5906
-48.3	48.3	100	88.5906
-48.4	48.4	100	88.5906
-48.5	48.5	100	88.5906
-48.6	48.6	100	88.5906
-48.7	48.7	100	88.5906
-48.8	48.8	100	88.5906
-48.9	48.9	100	88.5906
-49.0	49.0	100	88.5906
-49.1	49.1	100	88.5906
-49.2	49.2	100	88.5906
-49.3	49.3	100	88.5906
-49.4	49.4	100	88.5906
-49.5	49.5	100	88.5906
-49.6	49.6	100	88.5906
-49.7	49.7	100	88.5906
-49.8	49.8	100	88.5906
-49.9	49.9	100	88.5906
-50.0	50.0	100	88.9262
-50.1	50.1	100	89.2617
-50.2	50.2	100	89.2617
-50.3	50.3	100	89.2617
-50.4	50.4	100	89.2617
-50.5	50.5	100	89.2617
-50.6	50.6	100	89.2617
-50.7	50.7	100	89.2617
-50.8	50.8	100	89.2617
-50.9	50.9	100	89.2617
-51.0	51.0	100	89.2617
-51.1	51.1	100	89.2617
-51.2	51.2	100	89.2617
-51.3	51.3	100	89.2617
-51.4	51.4	100	89.2617
-51.5	51.5	100	89.2617
-51.6	51.6	100	89.2617
-51.7	51.7	100	89.9329
-51.8	51.8	100	89.9329
-51.9	51.9	100	89.9329
-52.0	52.0	100	89.9329
-52.1	52.1	100	89.9329
-52.2	52.2	100	89.9329
-52.3	52.3	100	89.9329
-52.4	52.4	100	89.9329
-52.5	52.5	100	89.9329
-52.6	52.6	100	89.9329
-52.7	52.7	100	89.9329
-52.8	52.8	100	89.9329
-52.9	52.9	100	89.9329
-53.0	53.0	100	89.9329
-53.1	53.1	100	89.9329
-53.2	53.2	100	89.9329
-53.3	53.3	100	89.9329
-53.4	53.4	100	89.9329
-53.5	53.5	100	89.9329
-53.6	53.6	100	89.9329
-53.7	53.7	100	89.9329
-53.8	53.8	100	90.0926
-53.9	53.9	100	90.604
-54.0	54.0	100	90.604
-54.1	54.1	100	90.604
-54.2	54.2	100	90.604
-54.3	54.3	100	90.604
-54.4	54.4	100	90.604
-54.5	54.5	100	90.604
-54.6	54.6	100	90.604
-54.7	54.7	100	90.604
-54.8	54.8	100	90.604
-54.9	54.9	100	90.604
-55.0	55.0	100	90.604
-55.1	55.1	100	90.604
-55.2	55.2	100	90.604
-55.3	55.3	100	90.604
-55.4	55.4	100	90.604
-55.5	55.5	100	90.604
-55.6	55.6	100	90.604
-55.7	55.7	100	90.604
-55.8	55.8	100	90.604
-55.9	55.9	100	90.8785
-56.0	56.0	100	91.2752
-56.1	56.1	100	91.2752
-56.2	56.2	100	91.2752
-56.3	56.3	100	91.2752
-56.4	56.4	100	91.2752
-56.5	56.5	100	91.2752
-56.6	56.6	100	91.2752
-56.7	56.7	100	91.2752
-56.8	56.8	100	91.2752
-56.9	56.9	100	91.8919
-57.0	57.0	100	91.9463
-57.1	57.1	100	91.9463
-57.2	57.2	100	91.9463
-57.3	57.3	100	91.9463
-57.4	57.4	100	92.3987
-57.5	57.5	100	92.6174
-57.6	57.6	100	92.6174
-57.7	57.7	100	92.6174
-57.8	57.8	100	92.6174
-57.9	57.9	100	92.6174
-58.0	58.0	100	92.6174
-58.1	58.1	100	92.6174
-58.2	58.2	100	92.6174
-58.3	58.3	100	93.2886
-58.4	58.4	100	93.2886
-58.5	58.5	100	93.2886
-58.6	58.6	100	93.2886
-58.7	58.7	100	93.2886
-58.8	58.8	100	93.2886
-58.9	58.9	100	93.2886
-59.0	59.0	100	93.2886
-59.1	59.1	100	93.2886
-59.2	59.2	100	93.2886
-59.3	59.3	100	93.2886
-59.4	59.4	100	93.2886
-59.5	59.5	100	93.2886
-59.6	59.6	100	93.2886
-59.7	59.7	100	93.2886
-59.8	59.8	100	93.2886
-59.9	59.9	100	93.2886
-60.0	60.0	100	93.2886
-60.1	60.1	100	93.2886
-60.2	60.2	100	93.2886
-60.3	60.3	100	93.2886
-60.4	60.4	100	93.2886
-60.5	60.5	100	93.2886
-60.6	60.6	100	93.2886
-60.7	60.7	100	93.2886
-60.8	60.8	100	93.2886
-60.9	60.9	100	93.2886
-61.0	61.0	100	93.2886
-61.1	61.1	100	93.2886
-61.2	61.2	100	93.2886
-61.3	61.3	100	93.2886
-61.4	61.4	100	93.2886
-61.5	61.5	100	93.2886
-61.6	61.6	100	93.2886
-61.7	61.7	100	93.2886
-61.8	61.8	100	93.2886
-61.9	61.9	100	93.2886
-62.0	62.0	100	93.2886
-62.1	62.1	100	93.2886
-62.2	62.2	100	93.2886
-62.3	62.3	100	93.2886
-62.4	62.4	100	93.4389
-62.5	62.5	100	93.9597
-62.6	62.6	100	93.9597
-62.7	62.7	100	93.9597
-62.8	62.8	100	93.9597
-62.9	62.9	100	93.9597
-63.0	63.0	100	93.9597
-63.1	63.1	100	93.9597
-63.2	63.2	100	93.9597
-63.3	63.3	100	93.9597
-63.4	63.4	100	93.9597
-63.5	63.5	100	93.9597
-63.6	63.6	100	93.9597
-63.7	63.7	100	93.9597
-63.8	63.8	100	93.9597
-63.9	63.9	100	93.9597
-64.0	64.0	100	93.9597
-64.1	64.1	100	93.9597
-64.2	64.2	100	93.9597
-64.3	64.3	100	93.9597
-64.4	64.4	100	93.9597
-64.5	64.5	100	93.9597
-64.6	64.6	100	93.9597
-64.7	64.7	100	93.9597
-64.8	64.8	100	93.9597
-64.9	64.9	100	93.9597
-65.0	65.0	100	93.9597
-65.1	65.1	100	93.9597
-65.2	65.2	100	93.9597
-65.3	65.3	100	93.9597
-65.4	65.4	100	93.9597
-65.5	65.5	100	93.9597
-65.6	65.6	100	93.9597
-65.7	65.7	100	93.9597
-65.8	65.8	100	93.9597
-65.9	65.9	100	93.9597
-66.0	66.0	100	93.9597
-66.1	66.1	100	93.9597
-66.2	66.2	100	93.9597
-66.3	66.3	100	93.9597
-66.4	66.4	100	93.9597
-66.5	66.5	100	93.9597
-66.6	66.6	100	93.9597
-66.7	66.7	100	93.9597
-66.8	66.8	100	93.9597
-66.9	66.9	100	93.9597
-67.0	67.0	100	93.9597
-67.1	67.1	100	93.9597
-67.2	67.2	100	93.9597
-67.3	67.3	100	93.9597
-67.4	67.4	100	93.9597
-67.5	67.5	100	93.9597
-67.6	67.6	100	94.6309
-67.7	67.7	100	94.6309
-67.8	67.8	100	94.6309
-67.9	67.9	100	94.6309
-68.0	68.0	100	94.6309
-68.1	68.1	100	94.6309
-68.2	68.2	100	94.6309
-68.3	68.3	100	94.6309
-68.4	68.4	100	94.6309
-68.5	68.5	100	94.6309
-68.6	68.6	100	94.6309
-68.7	68.7	100	94.6309
-68.8	68.8	100	94.6309
-68.9	68.9	100	94.6309
-69.0	69.0	100	94.6309
-69.1	69.1	100	94.6309
-69.2	69.2	100	94.6309
-69.3	69.3	100	94.6309
-69.4	69.4	100	94.6309
-69.5	69.5	100	94.6309
-69.6	69.6	100	94.6953
-69.7	69.7	100	95.4678
-69.8	69.8	100	95.9732
-69.9	69.9	100	95.9732
-70.0	70.0	100	95.9732
-70.1	70.1	100	95.9732
-70.2	70.2	100	95.9732
-70.3	70.3	100	95.9732
-70.4	70.4	100	95.9732
-70.5	70.5	100	95.9732
-70.6	70.6	100	95.9732
-70.7	70.7	100	95.9732
-70.8	70.8	100	95.9732
-70.9	70.9	100	96.6443
-71.0	71.0	100	96.6443
-71.1	71.1	100	96.6443
-71.2	71.2	100	96.6443
-71.3	71.3	100	96.6443
-71.4	71.4	100	96.6443
-71.5	71.5	100	96.6443
-71.6	71.6	100	96.6443
-71.7	71.7	100	96.6443
-71.8	71.8	100	96.6443
-71.9	71.9	100	96.6443
-72.0	72.0	100	96.6443
-72.1	72.1	100	96.6443
-72.2	72.2	100	96.6443
-72.3	72.3	100	96.6443
-72.4	72.4	100	96.6443
-72.5	72.5	100	96.6443
-72.6	72.6	100	96.6443
-72.7	72.7	100	96.6443
-72.8	72.8	100	96.6443
-72.9	72.9	100	96.6443
-73.0	73.0	100	96.6443
-73.1	73.1	100	96.6443
-73.2	73.2	100	96.6443
-73.3	73.3	100	96.6443
-73.4	73.4	100	96.6443
-73.5	73.5	100	96.6443
-73.6	73.6	100	96.6443
-73.7	73.7	100	96.6443
-73.8	73.8	100	96.6443
-73.9	73.9	100	96.6443
-74.0	74.0	100	96.6443
-74.1	74.1	100	96.6443
-74.2	74.2	100	96.6443
-74.3	74.3	100	96.6443
-74.4	74.4	100	96.6443
-74.5	74.5	100	96.6443
-74.6	74.6	100	96.6443
-74.7	74.7	100	96.6443
-74.8	74.8	100	96.6443
-74.9	74.9	100	96.6443
-75.0	75.0	100	96.6443
-75.1	75.1	100	96.6443
-75.2	75.2	100	96.6443
-75.3	75.3	100	96.6443
-75.4	75.4	100	96.6443
-75.5	75.5	100	96.6443
-75.6	75.6	100	96.6443
-75.7	75.7	100	96.6443
-75.8	75.8	100	96.6443
-75.9	75.9	100	96.6443
-76.0	76.0	100	96.6443
-76.1	76.1	100	96.6443
-76.2	76.2	100	96.6443
-76.3	76.3	100	96.6443
-76.4	76.4	100	96.6443
-76.5	76.5	100	96.6443
-76.6	76.6	100	96.6443
-76.7	76.7	100	96.6443
-76.8	76.8	100	96.6443
-76.9	76.9	100	96.6443
-77.0	77.0	100	96.6443
-77.1	77.1	100	96.6443
-77.2	77.2	100	96.6443
-77.3	77.3	100	96.6443
-77.4	77.4	100	96.6443
-77.5	77.5	100	96.6443
-77.6	77.6	100	96.6443
-77.7	77.7	100	96.6443
-77.8	77.8	100	96.6443
-77.9	77.9	100	96.6443
-78.0	78.0	100	96.6443
-78.1	78.1	100	96.6443
-78.2	78.2	100	96.6443
-78.3	78.3	100	96.6443
-78.4	78.4	100	96.6443
-78.5	78.5	100	97.0034
-78.6	78.6	100	97.3154
-78.7	78.7	100	97.3154
-78.8	78.8	100	97.3154
-78.9	78.9	100	97.3154
-79.0	79.0	100	97.3154
-79.1	79.1	100	97.3154
-79.2	79.2	100	97.3154
-79.3	79.3	100	97.3154
-79.4	79.4	100	97.3154
-79.5	79.5	100	97.3154
-79.6	79.6	100	97.3154
-79.7	79.7	100	97.3154
-79.8	79.8	100	97.3154
-79.9	79.9	100	97.3154
-80.0	80.0	100	97.3154
-80.1	80.1	100	97.3154
-80.2	80.2	100	97.3154
-80.3	80.3	100	97.3154
-80.4	80.4	100	97.3154
-80.5	80.5	100	97.3154
-80.6	80.6	100	97.3154
-80.7	80.7	100	97.3154
-80.8	80.8	100	97.3154
-80.9	80.9	100	97.3154
-81.0	81.0	100	97.3154
-81.1	81.1	100	97.3154
-81.2	81.2	100	97.3154
-81.3	81.3	100	97.3154
-81.4	81.4	100	97.3154
-81.5	81.5	100	97.3154
-81.6	81.6	100	97.3154
-81.7	81.7	100	97.3154
-81.8	81.8	100	97.3154
-81.9	81.9	100	97.3154
-82.0	82.0	100	97.3154
-82.1	82.1	100	97.3154
-82.2	82.2	100	97.3154
-82.3	82.3	100	97.3154
-82.4	82.4	100	97.3154
-82.5	82.5	100	97.3154
-82.6	82.6	100	97.3154
-82.7	82.7	100	97.3154
-82.8	82.8	100	97.3154
-82.9	82.9	100	97.3154
-83.0	83.0	100	97.3154
-83.1	83.1	100	97.3154
-83.2	83.2	100	97.3154
-83.3	83.3	100	97.3154
-83.4	83.4	100	97.3154
-83.5	83.5	100	97.3154
-83.6	83.6	100	97.3154
-83.7	83.7	100	97.3154
-83.8	83.8	100	97.3154
-83.9	83.9	100	97.3154
-84.0	84.0	100	97.3154
-84.1	84.1	100	97.9805
-84.2	84.2	100	97.9866
-84.3	84.3	100	97.9866
-84.4	84.4	100	97.9866
-84.5	84.5	100	97.9866
-84.6	84.6	100	97.9866
-84.7	84.7	100	97.9866
-84.8	84.8	100	98.6577
-84.9	84.9	100	98.7913
-85.0	85.0	100	99.3289
-85.1	85.1	100	99.3289
-85.2	85.2	100	99.3289
-85.3	85.3	100	99.3289
-85.4	85.4	100	99.3289
-85.5	85.5	100	99.3289
-85.6	85.6	100	99.3289
-85.7	85.7	100	99.3289
-85.8	85.8	100	99.3289
-85.9	85.9	100	99.3289
-86.0	86.0	100	99.3289
-86.1	86.1	100	99.3289
-86.2	86.2	100	99.3289
-86.3	86.3	100	99.3289
-86.4	86.4	100	99.3289
-86.5	86.5	100	99.3289
-86.6	86.6	100	99.3289
-86.7	86.7	100	99.3289
-86.8	86.8	100	99.3289
-86.9	86.9	100	99.3289
-87.0	87.0	100	99.3289
-87.1	87.1	100	99.3289
-87.2	87.2	100	99.3289
-87.3	87.3	100	99.3289
-87.4	87.4	100	99.3289
-87.5	87.5	100	99.3289
-87.6	87.6	100	99.3289
-87.7	87.7	100	99.3289
-87.8	87.8	100	99.3289
-87.9	87.9	100	99.3289
-88.0	88.0	100	99.3289
-88.1	88.1	100	99.3289
-88.2	88.2	100	99.3289
-88.3	88.3	100	99.3289
-88.4	88.4	100	99.3289
-88.5	88.5	100	99.3289
-88.6	88.6	100	99.3289
-88.7	88.7	100	99.3289
-88.8	88.8	100	99.3289
-88.9	88.9	100	99.3289
-89.0	89.0	100	99.3289
-89.1	89.1	100	99.3289
-89.2	89.2	100	99.3289
-89.3	89.3	100	99.3289
-89.4	89.4	100	99.3289
-89.5	89.5	100	99.3289
-89.6	89.6	100	99.3289
-89.7	89.7	100	99.3289
-89.8	89.8	100	99.3289
-89.9	89.9	100	99.3289
-90.0	90.0	100	99.3289
-90.1	90.1	100	99.3289
-90.2	90.2	100	99.3289
-90.3	90.3	100	99.3289
-90.4	90.4	100	99.3289
-90.5	90.5	100	99.3289
-90.6	90.6	100	99.3289
-90.7	90.7	100	99.3289
-90.8	90.8	100	99.3289
-90.9	90.9	100	99.3289
-91.0	91.0	100	99.3289
-91.1	91.1	100	99.3289
-91.2	91.2	100	99.3289
-91.3	91.3	100	99.3289
-91.4	91.4	100	99.3289
-91.5	91.5	100	99.3289
-91.6	91.6	100	99.3289
-91.7	91.7	100	99.3289
-91.8	91.8	100	99.3289
-91.9	91.9	100	99.3289
-92.0	92.0	100	99.3289
-92.1	92.1	100	99.3289
-92.2	92.2	100	99.3289
-92.3	92.3	100	99.3289
-92.4	92.4	100	99.3289
-92.5	92.5	100	99.3289
-92.6	92.6	100	99.3289
-92.7	92.7	100	99.3289
-92.8	92.8	100	99.3289
-92.9	92.9	100	99.3289
-93.0	93.0	100	99.3289
-93.1	93.1	100	99.3289
-93.2	93.2	100	99.3289
-93.3	93.3	100	99.3289
-93.4	93.4	100	99.3289
-93.5	93.5	100	99.3289
-93.6	93.6	100	99.3289
-93.7	93.7	100	99.3289
-93.8	93.8	100	99.3289
-93.9	93.9	100	99.3289
-94.0	94.0	100	99.3289
-94.1	94.1	100	99.3289
-94.2	94.2	100	99.3289
-94.3	94.3	100	99.3289
-94.4	94.4	100	99.3289
-94.5	94.5	100	99.3289
-94.6	94.6	100	99.3289
-94.7	94.7	100	99.3289
-94.8	94.8	100	99.3289
-94.9	94.9	100	99.3289
-95.0	95.0	100	99.3289
-95.1	95.1	100	99.3289
-95.2	95.2	100	99.3289
-95.3	95.3	100	99.3289
-95.4	95.4	100	99.3289
-95.5	95.5	100	99.3289
-95.6	95.6	100	99.3289
-95.7	95.7	100	99.3289
-95.8	95.8	100	99.3289
-95.9	95.9	100	99.3289
-96.0	96.0	100	99.3289
-96.1	96.1	100	99.3289
-96.2	96.2	100	99.3289
-96.3	96.3	100	99.3289
-96.4	96.4	100	99.3289
-96.5	96.5	100	99.3289
-96.6	96.6	100	99.3289
-96.7	96.7	100	99.3289
-96.8	96.8	100	99.3289
-96.9	96.9	100	99.3289
-97.0	97.0	100	99.3289
-97.1	97.1	100	99.3289
-97.2	97.2	100	99.3289
-97.3	97.3	100	99.3289
-97.4	97.4	100	99.3289
-97.5	97.5	100	99.3289
-97.6	97.6	100	99.3289
-97.7	97.7	100	99.3289
-97.8	97.8	100	99.3289
-97.9	97.9	100	99.3289
-98.0	98.0	100	99.3289
-98.1	98.1	100	99.3289
-98.2	98.2	100	99.3289
-98.3	98.3	100	99.3289
-98.4	98.4	100	99.3289
-98.5	98.5	100	99.3289
-98.6	98.6	100	99.3289
-98.7	98.7	100	99.3289
-98.8	98.8	100	99.3289
-98.9	98.9	100	99.3289
-99.0	99.0	100	99.3289
-99.1	99.1	100	99.3289
-99.2	99.2	100	99.3289
-99.3	99.3	100	99.9617
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt b/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt
deleted file mode 100644
index d0cdda9c..00000000
--- a/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-Tool	Khiops
-Version	10.0.6i
-Short description	
-Logs
-Modeling
-warning : No training: database is empty
-
-
-Report	Preparation
-
-Dictionary	Database
-Variables
-	Categorical	1
-	Numerical	7
-	Total	8
-Database	./../Standard/DatabaseEmpty.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	0
-Learning task	Classification analysis
-Target variable	Class
-Target descriptive stats
-	Values	0
-	Mode	
-	Mode frequency	0
-Target variable stats
diff --git a/tests/resources/analysis_results/ref_reports/Greek.txt b/tests/resources/analysis_results/ref_reports/Greek.txt
deleted file mode 100644
index a324c154..00000000
--- a/tests/resources/analysis_results/ref_reports/Greek.txt
+++ /dev/null
@@ -1,2120 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Greek
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	2
-	Mode	ASCII
-	Mode frequency	10
-Target variable stats
-	ASCII	10
-	UTF8 Greek	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	3.04452
-	Data cost	12.1268
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.569655		2	2						<a>	10	0.693147	6.13404	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<θ>}	<θ>	 * 
-Type	Categorical	Values
-	ASCII
-	UTF8 Greek
-Cells
-Value group	ASCII	UTF8 Greek	Interest
-{<a>}	10	0	0.5
-{<θ>}	0	10	0.5
-
-Input values
-	<a>	10
-	<θ>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Greek
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.569655	1	0.754755
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Greek
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.976385	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ASCII	UTF8 Greek
-$ASCII	10	0
-$UTF8 Greek	0	10
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Greek
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/Iris2D.txt b/tests/resources/analysis_results/ref_reports/Iris2D.txt
deleted file mode 100644
index 21792106..00000000
--- a/tests/resources/analysis_results/ref_reports/Iris2D.txt
+++ /dev/null
@@ -1,6847 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-Main target value	Iris-setosa
-Target descriptive stats
-	Values	3
-	Mode	Iris-versicolor
-	Mode frequency	37
-Target variable stats
-	Iris-setosa	31
-	Iris-versicolor	37
-	Iris-virginica	31
-Evaluated variables	11
-Informative variables	9
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	100
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	8.52714
-	Data cost	103.619
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	SPetalLength	Categorical	0.640044		3	5						4	32	3.17805	27.4826	9.95655	AsCategorical(Floor(PetalLength))
-R02	PetalLength	Numerical	0.634896		3	36	1	6.9	3.801010101	1.712137004	0			3.17805	28.0635	9.95655	
-R03	PetalWidth	Numerical	0.616721		3	20	0.1	2.5	1.218181818	0.749863777	0			3.17805	30.1144	9.95655	
-R04	Class2	Categorical	0.473086		2	2							62	3.17805	15.5969	40.6817	IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R05	LowerPetalLength	Numerical	0.446496		2	9	1	3	2.517171717	0.7226550938	0			3.17805	14.7454	44.5336	If(LE(PetalLength, 3), PetalLength, 3)
-R06	Class1	Categorical	0.440354		2	2							68	3.17805	15.4385	44.5336	IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R07	UpperPetalWidth	Numerical	0.306127		2	11	1.5	2.5	1.681818182	0.2962266524	0			3.17805	14.8064	60.3118	If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-R08	SepalLength	Numerical	0.280329		3	30	4.3	7.7	5.848484848	0.8065844732	0			3.17805	27.4942	50.535	
-R09	SepalWidth	Numerical	0.111796		2	22	2	4.4	3.042424242	0.4422374035	0			3.17805	16.7264	80.32	
-R10	Dummy1	Numerical	0		1	1	0	0	0	0	0			0.693147	8.52714	103.619	Copy(0)
-R11	Dummy2	Numerical	0		1	99	0.01372010867	0.9853969761	0.5371015665	0.2836682962	0			0.693147	8.52714	103.619	Random()
-
-Detailed variable statistics
-
-Rank	R01	SPetalLength	Categorical
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	36	2	0.311045
-{1}	31	0	0	0.374224
-{5, 6}	0	1	29	0.314731
-
-Input values
-	4	32
-	1	31
-	5	24
-	3	6
-	6	6
-
-Rank	R02	PetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.95]	2.4	4.95
-	]4.95;+inf[	4.95	6.9
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.4]	31	0	0	0.374224
-]2.4;4.95]	0	36	2	0.311045
-]4.95;+inf[	0	1	29	0.314731
-
-Rank	R03	PetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.75]	0.7	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;0.7]	31	0	0	0.374224
-]0.7;1.75]	0	36	2	0.311045
-]1.75;+inf[	0	1	29	0.314731
-
-Rank	R04	Class2	Categorical
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{}	31	0	31	0.443449
-{versicolor}	0	37	0	0.556551
-
-Input values
-		62
-	versicolor	37
-
-Rank	R05	LowerPetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.4]	31	0	0	0.584937
-]2.4;+inf[	0	37	31	0.415063
-
-Rank	R06	Class1	Categorical
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{}	0	37	31	0.415063
-{setosa}	31	0	0	0.584937
-
-Input values
-		68
-	setosa	31
-
-Rank	R07	UpperPetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;1.55]	31	33	2	0.407767
-]1.55;+inf[	0	4	29	0.592233
-
-Rank	R08	SepalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.75]	5.45	5.75
-	]5.75;+inf[	5.75	7.7
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;5.45]	28	3	0	0.493633
-]5.45;5.75]	3	12	1	0.100396
-]5.75;+inf[	0	22	30	0.405971
-
-Rank	R09	SepalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;3.35]	11	36	29	0.268778
-]3.35;+inf[	20	1	2	0.731222
-
-
-Report	Bivariate preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-Main target value	Iris-setosa
-Target descriptive stats
-	Values	3
-	Mode	Iris-versicolor
-	Mode frequency	37
-Target variable stats
-	Iris-setosa	31
-	Iris-versicolor	37
-	Iris-virginica	31
-Evaluated variable pairs	45
-Informative variable pairs	0
-
-Variable pair statistics
-Rank	Name 1	Name 2	DeltaLevel	Level	Level 1	Level 2	Variables	Parts 1	Parts 2	Cells	Construction cost	Preparation cost	Data cost
-R01	Class1	Dummy2	-0.0305789	0.409775	0.440354	0	1	2	1	2	6.62856	15.4385	44.5336
-R02	Class2	Dummy2	-0.0305789	0.442507	0.473086	0	1	2	1	2	6.62856	15.5969	40.6817
-R03	Dummy2	LowerPetalLength	-0.0305789	0.415917	0	0.446496	1	1	2	2	6.62856	14.7454	44.5336
-R04	Dummy2	PetalLength	-0.0305789	0.604317	0	0.634896	1	1	3	3	6.62856	28.0635	9.95655
-R05	Dummy2	PetalWidth	-0.0305789	0.586142	0	0.616721	1	1	3	3	6.62856	30.1144	9.95655
-R06	Dummy2	SPetalLength	-0.0305789	0.609466	0	0.640044	1	1	3	3	6.62856	27.4826	9.95655
-R07	Dummy2	SepalLength	-0.0305789	0.24975	0	0.280329	1	1	3	3	6.62856	27.4942	50.535
-R08	Dummy2	SepalWidth	-0.0305789	0.0812168	0	0.111796	1	1	2	2	6.62856	16.7264	80.32
-R09	Dummy2	UpperPetalWidth	-0.0305789	0.275548	0	0.306127	1	1	2	2	6.62856	14.8064	60.3118
-R10	SepalWidth	UpperPetalWidth	-0.0544221	0.3635	0.111796	0.306127	2	2	2	4	9.02645	23.4811	39.3147
-R11	Class2	SepalLength	-0.0807967	0.672619	0.473086	0.280329	2	2	2	4	9.02645	24.4493	3.46574
-R12	SepalLength	SepalWidth	-0.0883182	0.303807	0.280329	0.111796	2	2	2	4	9.02645	23.7538	45.7778
-R13	Class2	SepalWidth	-0.114582	0.4703	0.473086	0.111796	2	2	2	4	9.02645	23.7409	27.0037
-R14	Class2	UpperPetalWidth	-0.118658	0.660555	0.473086	0.306127	2	2	2	4	9.02645	23.0072	6.2691
-R15	Class1	SepalWidth	-0.142375	0.409775	0.440354	0.111796	1	2	1	2	6.62856	15.4385	44.5336
-R16	LowerPetalLength	SepalWidth	-0.142375	0.415917	0.446496	0.111796	1	2	1	2	6.62856	14.7454	44.5336
-R17	PetalWidth	SepalWidth	-0.142375	0.586142	0.616721	0.111796	1	3	1	3	6.62856	30.1144	9.95655
-R18	SPetalLength	SepalWidth	-0.142375	0.609466	0.640044	0.111796	1	3	1	3	6.62856	27.4826	9.95655
-R19	PetalLength	SepalWidth	-0.149613	0.597079	0.634896	0.111796	1	3	1	3	6.62856	30.14	8.69684
-R20	Class1	UpperPetalWidth	-0.15922	0.58726	0.440354	0.306127	2	2	2	3	9.02645	20.5389	17.0079
-R21	LowerPetalLength	UpperPetalWidth	-0.15922	0.593403	0.446496	0.306127	2	2	2	3	9.02645	19.8458	17.0079
-R22	SepalLength	UpperPetalWidth	-0.179284	0.407172	0.280329	0.306127	2	2	2	3	9.02645	30.6272	27.2407
-R23	Class2	LowerPetalLength	-0.181482	0.7381	0.473086	0.446496	2	2	2	3	9.02645	20.5262	0
-R24	Class1	Class2	-0.211405	0.702035	0.440354	0.473086	2	2	2	3	9.02645	24.5957	0
-R25	Class1	SepalLength	-0.296511	0.424172	0.440354	0.280329	2	2	2	3	9.02645	19.9456	36.004
-R26	LowerPetalLength	SepalLength	-0.296511	0.430315	0.446496	0.280329	2	2	2	3	9.02645	19.2525	36.004
-R27	PetalWidth	SepalLength	-0.310908	0.586142	0.616721	0.280329	1	3	1	3	6.62856	30.1144	9.95655
-R28	SPetalLength	SepalLength	-0.310908	0.609466	0.640044	0.280329	1	3	1	3	6.62856	27.4826	9.95655
-R29	PetalLength	SepalLength	-0.318146	0.597079	0.634896	0.280329	1	3	1	3	6.62856	30.14	8.69684
-R30	PetalWidth	UpperPetalWidth	-0.336705	0.586142	0.616721	0.306127	1	3	1	3	6.62856	30.1144	9.95655
-R31	SPetalLength	UpperPetalWidth	-0.336705	0.609466	0.640044	0.306127	1	3	1	3	6.62856	27.4826	9.95655
-R32	PetalLength	UpperPetalWidth	-0.343944	0.597079	0.634896	0.306127	1	3	1	3	6.62856	30.14	8.69684
-R33	Class2	PetalWidth	-0.386943	0.702864	0.473086	0.616721	2	2	2	4	9.02645	24.5023	0
-R34	Class2	PetalLength	-0.405208	0.702775	0.473086	0.634896	2	2	2	4	9.02645	24.5123	0
-R35	Class2	SPetalLength	-0.434905	0.678226	0.473086	0.640044	2	2	2	3	9.02645	27.2824	0
-R36	Class1	PetalLength	-0.459349	0.6159	0.440354	0.634896	2	2	2	3	9.02645	22.7896	11.5255
-R37	Class1	LowerPetalLength	-0.470932	0.415917	0.440354	0.446496	1	1	2	2	6.62856	14.7454	44.5336
-R38	LowerPetalLength	PetalLength	-0.473842	0.607551	0.446496	0.634896	2	2	2	3	9.02645	23.7317	11.5255
-R39	LowerPetalLength	PetalWidth	-0.477075	0.586142	0.446496	0.616721	1	1	3	3	6.62856	30.1144	9.95655
-R40	LowerPetalLength	SPetalLength	-0.477075	0.609466	0.446496	0.640044	1	1	3	3	6.62856	27.4826	9.95655
-R41	Class1	SPetalLength	-0.477398	0.603	0.440354	0.640044	1	1	3	3	6.62856	28.2121	9.95655
-R42	Class1	PetalWidth	-0.480807	0.576267	0.440354	0.616721	2	2	2	3	9.02645	28.8308	9.95655
-R43	PetalWidth	SPetalLength	-0.6473	0.609466	0.616721	0.640044	1	1	3	3	6.62856	27.4826	9.95655
-R44	PetalLength	PetalWidth	-0.654538	0.597079	0.634896	0.616721	1	3	1	3	6.62856	30.14	8.69684
-R45	PetalLength	SPetalLength	-0.668776	0.606164	0.634896	0.640044	2	2	2	3	9.02645	23.8882	11.5255
-
-Detailed variable pair statistics
-
-Rank	R10
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;3.05]	2	3.05
-	]3.05;+inf[	3.05	4.4
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	SepalWidth	UpperPetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;3.05]	]-inf;1.55]		6	29	2	0.225374
-C2	]3.05;+inf[	]-inf;1.55]		25	4	0	0.343006
-C3	]-inf;3.05]	]1.55;+inf[		0	1	20	0.324608
-C4	]3.05;+inf[	]1.55;+inf[		0	3	9	0.107012
-
-Rank	R11
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.75]	4.3	5.75
-	]5.75;+inf[	5.75	7.7
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	SepalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;5.75]		31	0	1	0.314618
-C2	{versicolor}	]-inf;5.75]		0	15	0	0.142013
-C3	{}	]5.75;+inf[		0	0	30	0.335085
-C4	{versicolor}	]5.75;+inf[		0	22	0	0.208285
-
-Rank	R12
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.75]	4.3	5.75
-	]5.75;+inf[	5.75	7.7
-SepalWidth	Numerical	Intervals
-	]-inf;3.05]	2	3.05
-	]3.05;+inf[	3.05	4.4
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	SepalLength	SepalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;5.75]	]-inf;3.05]		6	15	1	0.111064
-C2	]5.75;+inf[	]-inf;3.05]		0	15	21	0.260759
-C3	]-inf;5.75]	]3.05;+inf[		25	0	0	0.515069
-C4	]5.75;+inf[	]3.05;+inf[		0	7	9	0.113109
-
-Rank	R13
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	SepalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;3.35]		11	0	29	0.293163
-C2	{versicolor}	]-inf;3.35]		0	36	0	0.453219
-C3	{}	]3.35;+inf[		20	0	2	0.241029
-C4	{versicolor}	]3.35;+inf[		0	1	0	0.0125894
-
-Rank	R14
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	UpperPetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;1.55]		31	0	2	0.305099
-C2	{versicolor}	]-inf;1.55]		0	33	0	0.322015
-C3	{}	]1.55;+inf[		0	0	29	0.333855
-C4	{versicolor}	]1.55;+inf[		0	4	0	0.0390321
-
-Rank	R20
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class1	UpperPetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;1.55]		0	33	2	0.306429
-C2	{setosa}	]-inf;1.55]		31	0	0	0.406488
-C3	{}	]1.55;+inf[		0	4	29	0.287083
-
-Rank	R21
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	LowerPetalLength	UpperPetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;2.4]	]-inf;1.55]		31	0	0	0.406488
-C2	]2.4;+inf[	]-inf;1.55]		0	33	2	0.306429
-C4	]2.4;+inf[	]1.55;+inf[		0	4	29	0.287083
-
-Rank	R22
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;+inf[	5.45	7.7
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.75]	1.5	1.75
-	]1.75;+inf[	1.75	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	SepalLength	UpperPetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;5.45]	]-inf;1.75]		28	3	0	0.336934
-C2	]5.45;+inf[	]-inf;1.75]		3	33	2	0.264762
-C4	]5.45;+inf[	]1.75;+inf[		0	1	29	0.398305
-
-Rank	R23
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	LowerPetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;2.4]		31	0	0	0.332041
-C3	{}	]2.4;+inf[		0	0	31	0.332041
-C4	{versicolor}	]2.4;+inf[		0	37	0	0.335918
-
-Rank	R24
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class1	Class2		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	{}		0	0	31	0.332041
-C2	{setosa}	{}		31	0	0	0.332041
-C3	{}	{versicolor}		0	37	0	0.335918
-
-Rank	R25
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.75]	4.3	5.75
-	]5.75;+inf[	5.75	7.7
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class1	SepalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;5.75]		0	15	1	0.175962
-C2	{setosa}	]-inf;5.75]		31	0	0	0.519866
-C3	{}	]5.75;+inf[		0	22	30	0.304172
-
-Rank	R26
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SepalLength	Numerical	Intervals
-	]-inf;5.75]	4.3	5.75
-	]5.75;+inf[	5.75	7.7
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	LowerPetalLength	SepalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;2.4]	]-inf;5.75]		31	0	0	0.519866
-C2	]2.4;+inf[	]-inf;5.75]		0	15	1	0.175962
-C4	]2.4;+inf[	]5.75;+inf[		0	22	30	0.304172
-
-Rank	R33
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;1.35]	0.1	1.35
-	]1.35;+inf[	1.35	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	PetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;1.35]		31	0	0	0.332041
-C2	{versicolor}	]-inf;1.35]		0	20	0	0.181578
-C3	{}	]1.35;+inf[		0	0	31	0.332041
-C4	{versicolor}	]1.35;+inf[		0	17	0	0.154341
-
-Rank	R34
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalLength	Numerical	Intervals
-	]-inf;4.35]	1	4.35
-	]4.35;+inf[	4.35	6.9
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	PetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;4.35]		31	0	0	0.332041
-C2	{versicolor}	]-inf;4.35]		0	18	0	0.16342
-C3	{}	]4.35;+inf[		0	0	31	0.332041
-C4	{versicolor}	]4.35;+inf[		0	19	0	0.172499
-
-Rank	R35
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-SPetalLength	Categorical	Value groups
-	{4, 5, 3, ...}	4	5	3	6	 * 
-	{1}	1
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class2	SPetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	{4, 5, 3, ...}		0	0	31	0.332041
-C2	{versicolor}	{4, 5, 3, ...}		0	37	0	0.335918
-C3	{}	{1}		31	0	0	0.332041
-
-Rank	R36
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalLength	Numerical	Intervals
-	]-inf;5.05]	1	5.05
-	]5.05;+inf[	5.05	6.9
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class1	PetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;5.05]		0	37	4	0.293318
-C2	{setosa}	]-inf;5.05]		31	0	0	0.37771
-C3	{}	]5.05;+inf[		0	0	27	0.328973
-
-Rank	R38
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-PetalLength	Numerical	Intervals
-	]-inf;5.05]	1	5.05
-	]5.05;+inf[	5.05	6.9
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	LowerPetalLength	PetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;2.4]	]-inf;5.05]		31	0	0	0.37771
-C2	]2.4;+inf[	]-inf;5.05]		0	37	4	0.293318
-C4	]2.4;+inf[	]5.05;+inf[		0	0	27	0.328973
-
-Rank	R42
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;1.75]	0.1	1.75
-	]1.75;+inf[	1.75	2.5
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	Class1	PetalWidth		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	{}	]-inf;1.75]		0	36	2	0.311045
-C2	{setosa}	]-inf;1.75]		31	0	0	0.374224
-C3	{}	]1.75;+inf[		0	1	29	0.314731
-
-Rank	R45
-
-Data grid	Supervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;5.05]	1	5.05
-	]5.05;+inf[	5.05	6.9
-SPetalLength	Categorical	Value groups
-	{4, 5}	4	5	 * 
-	{1}	1
-Target	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Cell id	PetalLength	SPetalLength		Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-C1	]-inf;5.05]	{4, 5}		0	37	4	0.293318
-C2	]5.05;+inf[	{4, 5}		0	0	27	0.328973
-C3	]-inf;5.05]	{1}		31	0	0	0.37771
-
-
-Report	Modeling
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	Class
-Main target value	Iris-setosa
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	4
-R2	Classifier	Univariate	Univariate SPetalLength	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PClass2	Class2	0.473086	0.507812	0.490142
-PPetalLength	PetalLength	0.634896	0.164062	0.322742
-PClass1	Class1	0.440354	0.210938	0.304774
-PLowerPetalLength	LowerPetalLength	0.446496	0.171875	0.277023
-
-
-Report	Evaluation	Train
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-Main target value	Iris-setosa
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.98326	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.969697	0.884895	0.983648
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	37	0
-$Iris-virginica	0	0	31
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	36	2
-$Iris-virginica	0	1	29
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	36	2	0.311045
-{1}	31	0	0	0.374224
-{5, 6}	0	1	29	0.314731
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.319355
-0.2	0.2	0.63871	0.63871	0.63871
-0.3	0.3	0.958065	0.958065	0.958065
-0.4	0.4	1.27742	1.27742	1.27742
-0.5	0.5	1.59677	1.59677	1.59677
-0.6	0.6	1.91613	1.91613	1.91613
-0.7	0.7	2.23548	2.23548	2.23548
-0.8	0.8	2.55484	2.55484	2.55484
-0.9	0.9	2.87419	2.87419	2.87419
-1.0	1.0	3.19355	3.19355	3.19355
-1.1	1.1	3.5129	3.5129	3.5129
-1.2	1.2	3.83226	3.83226	3.83226
-1.3	1.3	4.15161	4.15161	4.15161
-1.4	1.4	4.47097	4.47097	4.47097
-1.5	1.5	4.79032	4.79032	4.79032
-1.6	1.6	5.10968	5.10968	5.10968
-1.7	1.7	5.42903	5.42903	5.42903
-1.8	1.8	5.74839	5.74839	5.74839
-1.9	1.9	6.06774	6.06774	6.06774
-2.0	2.0	6.3871	6.3871	6.3871
-2.1	2.1	6.70645	6.70645	6.70645
-2.2	2.2	7.02581	7.02581	7.02581
-2.3	2.3	7.34516	7.34516	7.34516
-2.4	2.4	7.66452	7.66452	7.66452
-2.5	2.5	7.98387	7.98387	7.98387
-2.6	2.6	8.30323	8.30323	8.30323
-2.7	2.7	8.62258	8.62258	8.62258
-2.8	2.8	8.94194	8.94194	8.94194
-2.9	2.9	9.26129	9.26129	9.26129
-3.0	3.0	9.58065	9.58065	9.58065
-3.1	3.1	9.9	9.9	9.9
-3.2	3.2	10.2194	10.2194	10.2194
-3.3	3.3	10.5387	10.5387	10.5387
-3.4	3.4	10.8581	10.8581	10.8581
-3.5	3.5	11.1774	11.1774	11.1774
-3.6	3.6	11.4968	11.4968	11.4968
-3.7	3.7	11.8161	11.8161	11.8161
-3.8	3.8	12.1355	12.1355	12.1355
-3.9	3.9	12.4548	12.4548	12.4548
-4.0	4.0	12.7742	12.7742	12.7742
-4.1	4.1	13.0935	13.0935	13.0935
-4.2	4.2	13.4129	13.4129	13.4129
-4.3	4.3	13.7323	13.7323	13.7323
-4.4	4.4	14.0516	14.0516	14.0516
-4.5	4.5	14.371	14.371	14.371
-4.6	4.6	14.6903	14.6903	14.6903
-4.7	4.7	15.0097	15.0097	15.0097
-4.8	4.8	15.329	15.329	15.329
-4.9	4.9	15.6484	15.6484	15.6484
-5.0	5.0	15.9677	15.9677	15.9677
-5.1	5.1	16.2871	16.2871	16.2871
-5.2	5.2	16.6065	16.6065	16.6065
-5.3	5.3	16.9258	16.9258	16.9258
-5.4	5.4	17.2452	17.2452	17.2452
-5.5	5.5	17.5645	17.5645	17.5645
-5.6	5.6	17.8839	17.8839	17.8839
-5.7	5.7	18.2032	18.2032	18.2032
-5.8	5.8	18.5226	18.5226	18.5226
-5.9	5.9	18.8419	18.8419	18.8419
-6.0	6.0	19.1613	19.1613	19.1613
-6.1	6.1	19.4806	19.4806	19.4806
-6.2	6.2	19.8	19.8	19.8
-6.3	6.3	20.1194	20.1194	20.1194
-6.4	6.4	20.4387	20.4387	20.4387
-6.5	6.5	20.7581	20.7581	20.7581
-6.6	6.6	21.0774	21.0774	21.0774
-6.7	6.7	21.3968	21.3968	21.3968
-6.8	6.8	21.7161	21.7161	21.7161
-6.9	6.9	22.0355	22.0355	22.0355
-7.0	7.0	22.3548	22.3548	22.3548
-7.1	7.1	22.6742	22.6742	22.6742
-7.2	7.2	22.9935	22.9935	22.9935
-7.3	7.3	23.3129	23.3129	23.3129
-7.4	7.4	23.6323	23.6323	23.6323
-7.5	7.5	23.9516	23.9516	23.9516
-7.6	7.6	24.271	24.271	24.271
-7.7	7.7	24.5903	24.5903	24.5903
-7.8	7.8	24.9097	24.9097	24.9097
-7.9	7.9	25.229	25.229	25.229
-8.0	8.0	25.5484	25.5484	25.5484
-8.1	8.1	25.8677	25.8677	25.8677
-8.2	8.2	26.1871	26.1871	26.1871
-8.3	8.3	26.5065	26.5065	26.5065
-8.4	8.4	26.8258	26.8258	26.8258
-8.5	8.5	27.1452	27.1452	27.1452
-8.6	8.6	27.4645	27.4645	27.4645
-8.7	8.7	27.7839	27.7839	27.7839
-8.8	8.8	28.1032	28.1032	28.1032
-8.9	8.9	28.4226	28.4226	28.4226
-9.0	9.0	28.7419	28.7419	28.7419
-9.1	9.1	29.0613	29.0613	29.0613
-9.2	9.2	29.3806	29.3806	29.3806
-9.3	9.3	29.7	29.7	29.7
-9.4	9.4	30.0194	30.0194	30.0194
-9.5	9.5	30.3387	30.3387	30.3387
-9.6	9.6	30.6581	30.6581	30.6581
-9.7	9.7	30.9774	30.9774	30.9774
-9.8	9.8	31.2968	31.2968	31.2968
-9.9	9.9	31.6161	31.6161	31.6161
-10.0	10.0	31.9355	31.9355	31.9355
-10.1	10.1	32.2548	32.2548	32.2548
-10.2	10.2	32.5742	32.5742	32.5742
-10.3	10.3	32.8935	32.8935	32.8935
-10.4	10.4	33.2129	33.2129	33.2129
-10.5	10.5	33.5323	33.5323	33.5323
-10.6	10.6	33.8516	33.8516	33.8516
-10.7	10.7	34.171	34.171	34.171
-10.8	10.8	34.4903	34.4903	34.4903
-10.9	10.9	34.8097	34.8097	34.8097
-11.0	11.0	35.129	35.129	35.129
-11.1	11.1	35.4484	35.4484	35.4484
-11.2	11.2	35.7677	35.7677	35.7677
-11.3	11.3	36.0871	36.0871	36.0871
-11.4	11.4	36.4065	36.4065	36.4065
-11.5	11.5	36.7258	36.7258	36.7258
-11.6	11.6	37.0452	37.0452	37.0452
-11.7	11.7	37.3645	37.3645	37.3645
-11.8	11.8	37.6839	37.6839	37.6839
-11.9	11.9	38.0032	38.0032	38.0032
-12.0	12.0	38.3226	38.3226	38.3226
-12.1	12.1	38.6419	38.6419	38.6419
-12.2	12.2	38.9613	38.9613	38.9613
-12.3	12.3	39.2806	39.2806	39.2806
-12.4	12.4	39.6	39.6	39.6
-12.5	12.5	39.9194	39.9194	39.9194
-12.6	12.6	40.2387	40.2387	40.2387
-12.7	12.7	40.5581	40.5581	40.5581
-12.8	12.8	40.8774	40.8774	40.8774
-12.9	12.9	41.1968	41.1968	41.1968
-13.0	13.0	41.5161	41.5161	41.5161
-13.1	13.1	41.8355	41.8355	41.8355
-13.2	13.2	42.1548	42.1548	42.1548
-13.3	13.3	42.4742	42.4742	42.4742
-13.4	13.4	42.7935	42.7935	42.7935
-13.5	13.5	43.1129	43.1129	43.1129
-13.6	13.6	43.4323	43.4323	43.4323
-13.7	13.7	43.7516	43.7516	43.7516
-13.8	13.8	44.071	44.071	44.071
-13.9	13.9	44.3903	44.3903	44.3903
-14.0	14.0	44.7097	44.7097	44.7097
-14.1	14.1	45.029	45.029	45.029
-14.2	14.2	45.3484	45.3484	45.3484
-14.3	14.3	45.6677	45.6677	45.6677
-14.4	14.4	45.9871	45.9871	45.9871
-14.5	14.5	46.3065	46.3065	46.3065
-14.6	14.6	46.6258	46.6258	46.6258
-14.7	14.7	46.9452	46.9452	46.9452
-14.8	14.8	47.2645	47.2645	47.2645
-14.9	14.9	47.5839	47.5839	47.5839
-15.0	15.0	47.9032	47.9032	47.9032
-15.1	15.1	48.2226	48.2226	48.2226
-15.2	15.2	48.5419	48.5419	48.5419
-15.3	15.3	48.8613	48.8613	48.8613
-15.4	15.4	49.1806	49.1806	49.1806
-15.5	15.5	49.5	49.5	49.5
-15.6	15.6	49.8194	49.8194	49.8194
-15.7	15.7	50.1387	50.1387	50.1387
-15.8	15.8	50.4581	50.4581	50.4581
-15.9	15.9	50.7774	50.7774	50.7774
-16.0	16.0	51.0968	51.0968	51.0968
-16.1	16.1	51.4161	51.4161	51.4161
-16.2	16.2	51.7355	51.7355	51.7355
-16.3	16.3	52.0548	52.0548	52.0548
-16.4	16.4	52.3742	52.3742	52.3742
-16.5	16.5	52.6935	52.6935	52.6935
-16.6	16.6	53.0129	53.0129	53.0129
-16.7	16.7	53.3323	53.3323	53.3323
-16.8	16.8	53.6516	53.6516	53.6516
-16.9	16.9	53.971	53.971	53.971
-17.0	17.0	54.2903	54.2903	54.2903
-17.1	17.1	54.6097	54.6097	54.6097
-17.2	17.2	54.929	54.929	54.929
-17.3	17.3	55.2484	55.2484	55.2484
-17.4	17.4	55.5677	55.5677	55.5677
-17.5	17.5	55.8871	55.8871	55.8871
-17.6	17.6	56.2065	56.2065	56.2065
-17.7	17.7	56.5258	56.5258	56.5258
-17.8	17.8	56.8452	56.8452	56.8452
-17.9	17.9	57.1645	57.1645	57.1645
-18.0	18.0	57.4839	57.4839	57.4839
-18.1	18.1	57.8032	57.8032	57.8032
-18.2	18.2	58.1226	58.1226	58.1226
-18.3	18.3	58.4419	58.4419	58.4419
-18.4	18.4	58.7613	58.7613	58.7613
-18.5	18.5	59.0806	59.0806	59.0806
-18.6	18.6	59.4	59.4	59.4
-18.7	18.7	59.7194	59.7194	59.7194
-18.8	18.8	60.0387	60.0387	60.0387
-18.9	18.9	60.3581	60.3581	60.3581
-19.0	19.0	60.6774	60.6774	60.6774
-19.1	19.1	60.9968	60.9968	60.9968
-19.2	19.2	61.3161	61.3161	61.3161
-19.3	19.3	61.6355	61.6355	61.6355
-19.4	19.4	61.9548	61.9548	61.9548
-19.5	19.5	62.2742	62.2742	62.2742
-19.6	19.6	62.5935	62.5935	62.5935
-19.7	19.7	62.9129	62.9129	62.9129
-19.8	19.8	63.2323	63.2323	63.2323
-19.9	19.9	63.5516	63.5516	63.5516
-20.0	20.0	63.871	63.871	63.871
-20.1	20.1	64.1903	64.1903	64.1903
-20.2	20.2	64.5097	64.5097	64.5097
-20.3	20.3	64.829	64.829	64.829
-20.4	20.4	65.1484	65.1484	65.1484
-20.5	20.5	65.4677	65.4677	65.4677
-20.6	20.6	65.7871	65.7871	65.7871
-20.7	20.7	66.1065	66.1065	66.1065
-20.8	20.8	66.4258	66.4258	66.4258
-20.9	20.9	66.7452	66.7452	66.7452
-21.0	21.0	67.0645	67.0645	67.0645
-21.1	21.1	67.3839	67.3839	67.3839
-21.2	21.2	67.7032	67.7032	67.7032
-21.3	21.3	68.0226	68.0226	68.0226
-21.4	21.4	68.3419	68.3419	68.3419
-21.5	21.5	68.6613	68.6613	68.6613
-21.6	21.6	68.9806	68.9806	68.9806
-21.7	21.7	69.3	69.3	69.3
-21.8	21.8	69.6194	69.6194	69.6194
-21.9	21.9	69.9387	69.9387	69.9387
-22.0	22.0	70.2581	70.2581	70.2581
-22.1	22.1	70.5774	70.5774	70.5774
-22.2	22.2	70.8968	70.8968	70.8968
-22.3	22.3	71.2161	71.2161	71.2161
-22.4	22.4	71.5355	71.5355	71.5355
-22.5	22.5	71.8548	71.8548	71.8548
-22.6	22.6	72.1742	72.1742	72.1742
-22.7	22.7	72.4935	72.4935	72.4935
-22.8	22.8	72.8129	72.8129	72.8129
-22.9	22.9	73.1323	73.1323	73.1323
-23.0	23.0	73.4516	73.4516	73.4516
-23.1	23.1	73.771	73.771	73.771
-23.2	23.2	74.0903	74.0903	74.0903
-23.3	23.3	74.4097	74.4097	74.4097
-23.4	23.4	74.729	74.729	74.729
-23.5	23.5	75.0484	75.0484	75.0484
-23.6	23.6	75.3677	75.3677	75.3677
-23.7	23.7	75.6871	75.6871	75.6871
-23.8	23.8	76.0065	76.0065	76.0065
-23.9	23.9	76.3258	76.3258	76.3258
-24.0	24.0	76.6452	76.6452	76.6452
-24.1	24.1	76.9645	76.9645	76.9645
-24.2	24.2	77.2839	77.2839	77.2839
-24.3	24.3	77.6032	77.6032	77.6032
-24.4	24.4	77.9226	77.9226	77.9226
-24.5	24.5	78.2419	78.2419	78.2419
-24.6	24.6	78.5613	78.5613	78.5613
-24.7	24.7	78.8806	78.8806	78.8806
-24.8	24.8	79.2	79.2	79.2
-24.9	24.9	79.5194	79.5194	79.5194
-25.0	25.0	79.8387	79.8387	79.8387
-25.1	25.1	80.1581	80.1581	80.1581
-25.2	25.2	80.4774	80.4774	80.4774
-25.3	25.3	80.7968	80.7968	80.7968
-25.4	25.4	81.1161	81.1161	81.1161
-25.5	25.5	81.4355	81.4355	81.4355
-25.6	25.6	81.7548	81.7548	81.7548
-25.7	25.7	82.0742	82.0742	82.0742
-25.8	25.8	82.3935	82.3935	82.3935
-25.9	25.9	82.7129	82.7129	82.7129
-26.0	26.0	83.0323	83.0323	83.0323
-26.1	26.1	83.3516	83.3516	83.3516
-26.2	26.2	83.671	83.671	83.671
-26.3	26.3	83.9903	83.9903	83.9903
-26.4	26.4	84.3097	84.3097	84.3097
-26.5	26.5	84.629	84.629	84.629
-26.6	26.6	84.9484	84.9484	84.9484
-26.7	26.7	85.2677	85.2677	85.2677
-26.8	26.8	85.5871	85.5871	85.5871
-26.9	26.9	85.9065	85.9065	85.9065
-27.0	27.0	86.2258	86.2258	86.2258
-27.1	27.1	86.5452	86.5452	86.5452
-27.2	27.2	86.8645	86.8645	86.8645
-27.3	27.3	87.1839	87.1839	87.1839
-27.4	27.4	87.5032	87.5032	87.5032
-27.5	27.5	87.8226	87.8226	87.8226
-27.6	27.6	88.1419	88.1419	88.1419
-27.7	27.7	88.4613	88.4613	88.4613
-27.8	27.8	88.7806	88.7806	88.7806
-27.9	27.9	89.1	89.1	89.1
-28.0	28.0	89.4194	89.4194	89.4194
-28.1	28.1	89.7387	89.7387	89.7387
-28.2	28.2	90.0581	90.0581	90.0581
-28.3	28.3	90.3774	90.3774	90.3774
-28.4	28.4	90.6968	90.6968	90.6968
-28.5	28.5	91.0161	91.0161	91.0161
-28.6	28.6	91.3355	91.3355	91.3355
-28.7	28.7	91.6548	91.6548	91.6548
-28.8	28.8	91.9742	91.9742	91.9742
-28.9	28.9	92.2935	92.2935	92.2935
-29.0	29.0	92.6129	92.6129	92.6129
-29.1	29.1	92.9323	92.9323	92.9323
-29.2	29.2	93.2516	93.2516	93.2516
-29.3	29.3	93.571	93.571	93.571
-29.4	29.4	93.8903	93.8903	93.8903
-29.5	29.5	94.2097	94.2097	94.2097
-29.6	29.6	94.529	94.529	94.529
-29.7	29.7	94.8484	94.8484	94.8484
-29.8	29.8	95.1677	95.1677	95.1677
-29.9	29.9	95.4871	95.4871	95.4871
-30.0	30.0	95.8065	95.8065	95.8065
-30.1	30.1	96.1258	96.1258	96.1258
-30.2	30.2	96.4452	96.4452	96.4452
-30.3	30.3	96.7645	96.7645	96.7645
-30.4	30.4	97.0839	97.0839	97.0839
-30.5	30.5	97.4032	97.4032	97.4032
-30.6	30.6	97.7226	97.7226	97.7226
-30.7	30.7	98.0419	98.0419	98.0419
-30.8	30.8	98.3613	98.3613	98.3613
-30.9	30.9	98.6806	98.6806	98.6806
-31.0	31.0	99	99	99
-31.1	31.1	99.3194	99.3194	99.3194
-31.2	31.2	99.6387	99.6387	99.6387
-31.3	31.3	99.9581	99.9581	99.9581
-31.4	31.4	100	100	100
-31.5	31.5	100	100	100
-31.6	31.6	100	100	100
-31.7	31.7	100	100	100
-31.8	31.8	100	100	100
-31.9	31.9	100	100	100
-32.0	32.0	100	100	100
-32.1	32.1	100	100	100
-32.2	32.2	100	100	100
-32.3	32.3	100	100	100
-32.4	32.4	100	100	100
-32.5	32.5	100	100	100
-32.6	32.6	100	100	100
-32.7	32.7	100	100	100
-32.8	32.8	100	100	100
-32.9	32.9	100	100	100
-33.0	33.0	100	100	100
-33.1	33.1	100	100	100
-33.2	33.2	100	100	100
-33.3	33.3	100	100	100
-33.4	33.4	100	100	100
-33.5	33.5	100	100	100
-33.6	33.6	100	100	100
-33.7	33.7	100	100	100
-33.8	33.8	100	100	100
-33.9	33.9	100	100	100
-34.0	34.0	100	100	100
-34.1	34.1	100	100	100
-34.2	34.2	100	100	100
-34.3	34.3	100	100	100
-34.4	34.4	100	100	100
-34.5	34.5	100	100	100
-34.6	34.6	100	100	100
-34.7	34.7	100	100	100
-34.8	34.8	100	100	100
-34.9	34.9	100	100	100
-35.0	35.0	100	100	100
-35.1	35.1	100	100	100
-35.2	35.2	100	100	100
-35.3	35.3	100	100	100
-35.4	35.4	100	100	100
-35.5	35.5	100	100	100
-35.6	35.6	100	100	100
-35.7	35.7	100	100	100
-35.8	35.8	100	100	100
-35.9	35.9	100	100	100
-36.0	36.0	100	100	100
-36.1	36.1	100	100	100
-36.2	36.2	100	100	100
-36.3	36.3	100	100	100
-36.4	36.4	100	100	100
-36.5	36.5	100	100	100
-36.6	36.6	100	100	100
-36.7	36.7	100	100	100
-36.8	36.8	100	100	100
-36.9	36.9	100	100	100
-37.0	37.0	100	100	100
-37.1	37.1	100	100	100
-37.2	37.2	100	100	100
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.267568	0.267568	0.253485
-0.2	0.2	0.535135	0.535135	0.50697
-0.3	0.3	0.802703	0.802703	0.760455
-0.4	0.4	1.07027	1.07027	1.01394
-0.5	0.5	1.33784	1.33784	1.26743
-0.6	0.6	1.60541	1.60541	1.52091
-0.7	0.7	1.87297	1.87297	1.7744
-0.8	0.8	2.14054	2.14054	2.02788
-0.9	0.9	2.40811	2.40811	2.28137
-1.0	1.0	2.67568	2.67568	2.53485
-1.1	1.1	2.94324	2.94324	2.78834
-1.2	1.2	3.21081	3.21081	3.04182
-1.3	1.3	3.47838	3.47838	3.29531
-1.4	1.4	3.74595	3.74595	3.54879
-1.5	1.5	4.01351	4.01351	3.80228
-1.6	1.6	4.28108	4.28108	4.05576
-1.7	1.7	4.54865	4.54865	4.30925
-1.8	1.8	4.81622	4.81622	4.56273
-1.9	1.9	5.08378	5.08378	4.81622
-2.0	2.0	5.35135	5.35135	5.0697
-2.1	2.1	5.61892	5.61892	5.32319
-2.2	2.2	5.88649	5.88649	5.57667
-2.3	2.3	6.15405	6.15405	5.83016
-2.4	2.4	6.42162	6.42162	6.08364
-2.5	2.5	6.68919	6.68919	6.33713
-2.6	2.6	6.95676	6.95676	6.59061
-2.7	2.7	7.22432	7.22432	6.8441
-2.8	2.8	7.49189	7.49189	7.09758
-2.9	2.9	7.75946	7.75946	7.35107
-3.0	3.0	8.02703	8.02703	7.60455
-3.1	3.1	8.29459	8.29459	7.85804
-3.2	3.2	8.56216	8.56216	8.11152
-3.3	3.3	8.82973	8.82973	8.36501
-3.4	3.4	9.0973	9.0973	8.61849
-3.5	3.5	9.36486	9.36486	8.87198
-3.6	3.6	9.63243	9.63243	9.12546
-3.7	3.7	9.9	9.9	9.37895
-3.8	3.8	10.1676	10.1676	9.63243
-3.9	3.9	10.4351	10.4351	9.88592
-4.0	4.0	10.7027	10.7027	10.1394
-4.1	4.1	10.9703	10.9703	10.3929
-4.2	4.2	11.2378	11.2378	10.6464
-4.3	4.3	11.5054	11.5054	10.8999
-4.4	4.4	11.773	11.773	11.1533
-4.5	4.5	12.0405	12.0405	11.4068
-4.6	4.6	12.3081	12.3081	11.6603
-4.7	4.7	12.5757	12.5757	11.9138
-4.8	4.8	12.8432	12.8432	12.1673
-4.9	4.9	13.1108	13.1108	12.4208
-5.0	5.0	13.3784	13.3784	12.6743
-5.1	5.1	13.6459	13.6459	12.9277
-5.2	5.2	13.9135	13.9135	13.1812
-5.3	5.3	14.1811	14.1811	13.4347
-5.4	5.4	14.4486	14.4486	13.6882
-5.5	5.5	14.7162	14.7162	13.9417
-5.6	5.6	14.9838	14.9838	14.1952
-5.7	5.7	15.2514	15.2514	14.4486
-5.8	5.8	15.5189	15.5189	14.7021
-5.9	5.9	15.7865	15.7865	14.9556
-6.0	6.0	16.0541	16.0541	15.2091
-6.1	6.1	16.3216	16.3216	15.4626
-6.2	6.2	16.5892	16.5892	15.7161
-6.3	6.3	16.8568	16.8568	15.9696
-6.4	6.4	17.1243	17.1243	16.223
-6.5	6.5	17.3919	17.3919	16.4765
-6.6	6.6	17.6595	17.6595	16.73
-6.7	6.7	17.927	17.927	16.9835
-6.8	6.8	18.1946	18.1946	17.237
-6.9	6.9	18.4622	18.4622	17.4905
-7.0	7.0	18.7297	18.7297	17.744
-7.1	7.1	18.9973	18.9973	17.9974
-7.2	7.2	19.2649	19.2649	18.2509
-7.3	7.3	19.5324	19.5324	18.5044
-7.4	7.4	19.8	19.8	18.7579
-7.5	7.5	20.0676	20.0676	19.0114
-7.6	7.6	20.3351	20.3351	19.2649
-7.7	7.7	20.6027	20.6027	19.5183
-7.8	7.8	20.8703	20.8703	19.7718
-7.9	7.9	21.1378	21.1378	20.0253
-8.0	8.0	21.4054	21.4054	20.2788
-8.1	8.1	21.673	21.673	20.5323
-8.2	8.2	21.9405	21.9405	20.7858
-8.3	8.3	22.2081	22.2081	21.0393
-8.4	8.4	22.4757	22.4757	21.2927
-8.5	8.5	22.7432	22.7432	21.5462
-8.6	8.6	23.0108	23.0108	21.7997
-8.7	8.7	23.2784	23.2784	22.0532
-8.8	8.8	23.5459	23.5459	22.3067
-8.9	8.9	23.8135	23.8135	22.5602
-9.0	9.0	24.0811	24.0811	22.8137
-9.1	9.1	24.3486	24.3486	23.0671
-9.2	9.2	24.6162	24.6162	23.3206
-9.3	9.3	24.8838	24.8838	23.5741
-9.4	9.4	25.1514	25.1514	23.8276
-9.5	9.5	25.4189	25.4189	24.0811
-9.6	9.6	25.6865	25.6865	24.3346
-9.7	9.7	25.9541	25.9541	24.5881
-9.8	9.8	26.2216	26.2216	24.8415
-9.9	9.9	26.4892	26.4892	25.095
-10.0	10.0	26.7568	26.7568	25.3485
-10.1	10.1	27.0243	27.0243	25.602
-10.2	10.2	27.2919	27.2919	25.8555
-10.3	10.3	27.5595	27.5595	26.109
-10.4	10.4	27.827	27.827	26.3624
-10.5	10.5	28.0946	28.0946	26.6159
-10.6	10.6	28.3622	28.3622	26.8694
-10.7	10.7	28.6297	28.6297	27.1229
-10.8	10.8	28.8973	28.8973	27.3764
-10.9	10.9	29.1649	29.1649	27.6299
-11.0	11.0	29.4324	29.4324	27.8834
-11.1	11.1	29.7	29.7	28.1368
-11.2	11.2	29.9676	29.9676	28.3903
-11.3	11.3	30.2351	30.2351	28.6438
-11.4	11.4	30.5027	30.5027	28.8973
-11.5	11.5	30.7703	30.7703	29.1508
-11.6	11.6	31.0378	31.0378	29.4043
-11.7	11.7	31.3054	31.3054	29.6578
-11.8	11.8	31.573	31.573	29.9112
-11.9	11.9	31.8405	31.8405	30.1647
-12.0	12.0	32.1081	32.1081	30.4182
-12.1	12.1	32.3757	32.3757	30.6717
-12.2	12.2	32.6432	32.6432	30.9252
-12.3	12.3	32.9108	32.9108	31.1787
-12.4	12.4	33.1784	33.1784	31.4321
-12.5	12.5	33.4459	33.4459	31.6856
-12.6	12.6	33.7135	33.7135	31.9391
-12.7	12.7	33.9811	33.9811	32.1926
-12.8	12.8	34.2486	34.2486	32.4461
-12.9	12.9	34.5162	34.5162	32.6996
-13.0	13.0	34.7838	34.7838	32.9531
-13.1	13.1	35.0514	35.0514	33.2065
-13.2	13.2	35.3189	35.3189	33.46
-13.3	13.3	35.5865	35.5865	33.7135
-13.4	13.4	35.8541	35.8541	33.967
-13.5	13.5	36.1216	36.1216	34.2205
-13.6	13.6	36.3892	36.3892	34.474
-13.7	13.7	36.6568	36.6568	34.7275
-13.8	13.8	36.9243	36.9243	34.9809
-13.9	13.9	37.1919	37.1919	35.2344
-14.0	14.0	37.4595	37.4595	35.4879
-14.1	14.1	37.727	37.727	35.7414
-14.2	14.2	37.9946	37.9946	35.9949
-14.3	14.3	38.2622	38.2622	36.2484
-14.4	14.4	38.5297	38.5297	36.5018
-14.5	14.5	38.7973	38.7973	36.7553
-14.6	14.6	39.0649	39.0649	37.0088
-14.7	14.7	39.3324	39.3324	37.2623
-14.8	14.8	39.6	39.6	37.5158
-14.9	14.9	39.8676	39.8676	37.7693
-15.0	15.0	40.1351	40.1351	38.0228
-15.1	15.1	40.4027	40.4027	38.2762
-15.2	15.2	40.6703	40.6703	38.5297
-15.3	15.3	40.9378	40.9378	38.7832
-15.4	15.4	41.2054	41.2054	39.0367
-15.5	15.5	41.473	41.473	39.2902
-15.6	15.6	41.7405	41.7405	39.5437
-15.7	15.7	42.0081	42.0081	39.7972
-15.8	15.8	42.2757	42.2757	40.0506
-15.9	15.9	42.5432	42.5432	40.3041
-16.0	16.0	42.8108	42.8108	40.5576
-16.1	16.1	43.0784	43.0784	40.8111
-16.2	16.2	43.3459	43.3459	41.0646
-16.3	16.3	43.6135	43.6135	41.3181
-16.4	16.4	43.8811	43.8811	41.5716
-16.5	16.5	44.1486	44.1486	41.825
-16.6	16.6	44.4162	44.4162	42.0785
-16.7	16.7	44.6838	44.6838	42.332
-16.8	16.8	44.9514	44.9514	42.5855
-16.9	16.9	45.2189	45.2189	42.839
-17.0	17.0	45.4865	45.4865	43.0925
-17.1	17.1	45.7541	45.7541	43.3459
-17.2	17.2	46.0216	46.0216	43.5994
-17.3	17.3	46.2892	46.2892	43.8529
-17.4	17.4	46.5568	46.5568	44.1064
-17.5	17.5	46.8243	46.8243	44.3599
-17.6	17.6	47.0919	47.0919	44.6134
-17.7	17.7	47.3595	47.3595	44.8669
-17.8	17.8	47.627	47.627	45.1203
-17.9	17.9	47.8946	47.8946	45.3738
-18.0	18.0	48.1622	48.1622	45.6273
-18.1	18.1	48.4297	48.4297	45.8808
-18.2	18.2	48.6973	48.6973	46.1343
-18.3	18.3	48.9649	48.9649	46.3878
-18.4	18.4	49.2324	49.2324	46.6413
-18.5	18.5	49.5	49.5	46.8947
-18.6	18.6	49.7676	49.7676	47.1482
-18.7	18.7	50.0351	50.0351	47.4017
-18.8	18.8	50.3027	50.3027	47.6552
-18.9	18.9	50.5703	50.5703	47.9087
-19.0	19.0	50.8378	50.8378	48.1622
-19.1	19.1	51.1054	51.1054	48.4156
-19.2	19.2	51.373	51.373	48.6691
-19.3	19.3	51.6405	51.6405	48.9226
-19.4	19.4	51.9081	51.9081	49.1761
-19.5	19.5	52.1757	52.1757	49.4296
-19.6	19.6	52.4432	52.4432	49.6831
-19.7	19.7	52.7108	52.7108	49.9366
-19.8	19.8	52.9784	52.9784	50.19
-19.9	19.9	53.2459	53.2459	50.4435
-20.0	20.0	53.5135	53.5135	50.697
-20.1	20.1	53.7811	53.7811	50.9505
-20.2	20.2	54.0486	54.0486	51.204
-20.3	20.3	54.3162	54.3162	51.4575
-20.4	20.4	54.5838	54.5838	51.711
-20.5	20.5	54.8514	54.8514	51.9644
-20.6	20.6	55.1189	55.1189	52.2179
-20.7	20.7	55.3865	55.3865	52.4714
-20.8	20.8	55.6541	55.6541	52.7249
-20.9	20.9	55.9216	55.9216	52.9784
-21.0	21.0	56.1892	56.1892	53.2319
-21.1	21.1	56.4568	56.4568	53.4853
-21.2	21.2	56.7243	56.7243	53.7388
-21.3	21.3	56.9919	56.9919	53.9923
-21.4	21.4	57.2595	57.2595	54.2458
-21.5	21.5	57.527	57.527	54.4993
-21.6	21.6	57.7946	57.7946	54.7528
-21.7	21.7	58.0622	58.0622	55.0063
-21.8	21.8	58.3297	58.3297	55.2597
-21.9	21.9	58.5973	58.5973	55.5132
-22.0	22.0	58.8649	58.8649	55.7667
-22.1	22.1	59.1324	59.1324	56.0202
-22.2	22.2	59.4	59.4	56.2737
-22.3	22.3	59.6676	59.6676	56.5272
-22.4	22.4	59.9351	59.9351	56.7807
-22.5	22.5	60.2027	60.2027	57.0341
-22.6	22.6	60.4703	60.4703	57.2876
-22.7	22.7	60.7378	60.7378	57.5411
-22.8	22.8	61.0054	61.0054	57.7946
-22.9	22.9	61.273	61.273	58.0481
-23.0	23.0	61.5405	61.5405	58.3016
-23.1	23.1	61.8081	61.8081	58.555
-23.2	23.2	62.0757	62.0757	58.8085
-23.3	23.3	62.3432	62.3432	59.062
-23.4	23.4	62.6108	62.6108	59.3155
-23.5	23.5	62.8784	62.8784	59.569
-23.6	23.6	63.1459	63.1459	59.8225
-23.7	23.7	63.4135	63.4135	60.076
-23.8	23.8	63.6811	63.6811	60.3294
-23.9	23.9	63.9486	63.9486	60.5829
-24.0	24.0	64.2162	64.2162	60.8364
-24.1	24.1	64.4838	64.4838	61.0899
-24.2	24.2	64.7514	64.7514	61.3434
-24.3	24.3	65.0189	65.0189	61.5969
-24.4	24.4	65.2865	65.2865	61.8504
-24.5	24.5	65.5541	65.5541	62.1038
-24.6	24.6	65.8216	65.8216	62.3573
-24.7	24.7	66.0892	66.0892	62.6108
-24.8	24.8	66.3568	66.3568	62.8643
-24.9	24.9	66.6243	66.6243	63.1178
-25.0	25.0	66.8919	66.8919	63.3713
-25.1	25.1	67.1595	67.1595	63.6248
-25.2	25.2	67.427	67.427	63.8782
-25.3	25.3	67.6946	67.6946	64.1317
-25.4	25.4	67.9622	67.9622	64.3852
-25.5	25.5	68.2297	68.2297	64.6387
-25.6	25.6	68.4973	68.4973	64.8922
-25.7	25.7	68.7649	68.7649	65.1457
-25.8	25.8	69.0324	69.0324	65.3991
-25.9	25.9	69.3	69.3	65.6526
-26.0	26.0	69.5676	69.5676	65.9061
-26.1	26.1	69.8351	69.8351	66.1596
-26.2	26.2	70.1027	70.1027	66.4131
-26.3	26.3	70.3703	70.3703	66.6666
-26.4	26.4	70.6378	70.6378	66.9201
-26.5	26.5	70.9054	70.9054	67.1735
-26.6	26.6	71.173	71.173	67.427
-26.7	26.7	71.4405	71.4405	67.6805
-26.8	26.8	71.7081	71.7081	67.934
-26.9	26.9	71.9757	71.9757	68.1875
-27.0	27.0	72.2432	72.2432	68.441
-27.1	27.1	72.5108	72.5108	68.6945
-27.2	27.2	72.7784	72.7784	68.9479
-27.3	27.3	73.0459	73.0459	69.2014
-27.4	27.4	73.3135	73.3135	69.4549
-27.5	27.5	73.5811	73.5811	69.7084
-27.6	27.6	73.8486	73.8486	69.9619
-27.7	27.7	74.1162	74.1162	70.2154
-27.8	27.8	74.3838	74.3838	70.4688
-27.9	27.9	74.6514	74.6514	70.7223
-28.0	28.0	74.9189	74.9189	70.9758
-28.1	28.1	75.1865	75.1865	71.2293
-28.2	28.2	75.4541	75.4541	71.4828
-28.3	28.3	75.7216	75.7216	71.7363
-28.4	28.4	75.9892	75.9892	71.9898
-28.5	28.5	76.2568	76.2568	72.2432
-28.6	28.6	76.5243	76.5243	72.4967
-28.7	28.7	76.7919	76.7919	72.7502
-28.8	28.8	77.0595	77.0595	73.0037
-28.9	28.9	77.327	77.327	73.2572
-29.0	29.0	77.5946	77.5946	73.5107
-29.1	29.1	77.8622	77.8622	73.7642
-29.2	29.2	78.1297	78.1297	74.0176
-29.3	29.3	78.3973	78.3973	74.2711
-29.4	29.4	78.6649	78.6649	74.5246
-29.5	29.5	78.9324	78.9324	74.7781
-29.6	29.6	79.2	79.2	75.0316
-29.7	29.7	79.4676	79.4676	75.2851
-29.8	29.8	79.7351	79.7351	75.5385
-29.9	29.9	80.0027	80.0027	75.792
-30.0	30.0	80.2703	80.2703	76.0455
-30.1	30.1	80.5378	80.5378	76.299
-30.2	30.2	80.8054	80.8054	76.5525
-30.3	30.3	81.073	81.073	76.806
-30.4	30.4	81.3405	81.3405	77.0595
-30.5	30.5	81.6081	81.6081	77.3129
-30.6	30.6	81.8757	81.8757	77.5664
-30.7	30.7	82.1432	82.1432	77.8199
-30.8	30.8	82.4108	82.4108	78.0734
-30.9	30.9	82.6784	82.6784	78.3269
-31.0	31.0	82.9459	82.9459	78.5804
-31.1	31.1	83.2135	83.2135	78.8339
-31.2	31.2	83.4811	83.4811	79.0873
-31.3	31.3	83.7486	83.7486	79.3408
-31.4	31.4	84.0162	84.0162	79.5943
-31.5	31.5	84.2838	84.2838	79.8478
-31.6	31.6	84.5514	84.5514	80.1013
-31.7	31.7	84.8189	84.8189	80.3548
-31.8	31.8	85.0865	85.0865	80.6083
-31.9	31.9	85.3541	85.3541	80.8617
-32.0	32.0	85.6216	85.6216	81.1152
-32.1	32.1	85.8892	85.8892	81.3687
-32.2	32.2	86.1568	86.1568	81.6222
-32.3	32.3	86.4243	86.4243	81.8757
-32.4	32.4	86.6919	86.6919	82.1292
-32.5	32.5	86.9595	86.9595	82.3826
-32.6	32.6	87.227	87.227	82.6361
-32.7	32.7	87.4946	87.4946	82.8896
-32.8	32.8	87.7622	87.7622	83.1431
-32.9	32.9	88.0297	88.0297	83.3966
-33.0	33.0	88.2973	88.2973	83.6501
-33.1	33.1	88.5649	88.5649	83.9036
-33.2	33.2	88.8324	88.8324	84.157
-33.3	33.3	89.1	89.1	84.4105
-33.4	33.4	89.3676	89.3676	84.664
-33.5	33.5	89.6351	89.6351	84.9175
-33.6	33.6	89.9027	89.9027	85.171
-33.7	33.7	90.1703	90.1703	85.4245
-33.8	33.8	90.4378	90.4378	85.678
-33.9	33.9	90.7054	90.7054	85.9314
-34.0	34.0	90.973	90.973	86.1849
-34.1	34.1	91.2405	91.2405	86.4384
-34.2	34.2	91.5081	91.5081	86.6919
-34.3	34.3	91.7757	91.7757	86.9454
-34.4	34.4	92.0432	92.0432	87.1989
-34.5	34.5	92.3108	92.3108	87.4523
-34.6	34.6	92.5784	92.5784	87.7058
-34.7	34.7	92.8459	92.8459	87.9593
-34.8	34.8	93.1135	93.1135	88.2128
-34.9	34.9	93.3811	93.3811	88.4663
-35.0	35.0	93.6486	93.6486	88.7198
-35.1	35.1	93.9162	93.9162	88.9733
-35.2	35.2	94.1838	94.1838	89.2267
-35.3	35.3	94.4514	94.4514	89.4802
-35.4	35.4	94.7189	94.7189	89.7337
-35.5	35.5	94.9865	94.9865	89.9872
-35.6	35.6	95.2541	95.2541	90.2407
-35.7	35.7	95.5216	95.5216	90.4942
-35.8	35.8	95.7892	95.7892	90.7477
-35.9	35.9	96.0568	96.0568	91.0011
-36.0	36.0	96.3243	96.3243	91.2546
-36.1	36.1	96.5919	96.5919	91.5081
-36.2	36.2	96.8595	96.8595	91.7616
-36.3	36.3	97.127	97.127	92.0151
-36.4	36.4	97.3946	97.3946	92.2686
-36.5	36.5	97.6622	97.6622	92.522
-36.6	36.6	97.9297	97.9297	92.7755
-36.7	36.7	98.1973	98.1973	93.029
-36.8	36.8	98.4649	98.4649	93.2825
-36.9	36.9	98.7324	98.7324	93.536
-37.0	37.0	99	99	93.7895
-37.1	37.1	99.2676	99.2676	94.043
-37.2	37.2	99.5351	99.5351	94.2964
-37.3	37.3	99.8027	99.8027	94.5499
-37.4	37.4	100	100	94.8034
-37.5	37.5	100	100	95.0569
-37.6	37.6	100	100	95.3104
-37.7	37.7	100	100	95.5639
-37.8	37.8	100	100	95.8174
-37.9	37.9	100	100	96.0708
-38.0	38.0	100	100	96.3243
-38.1	38.1	100	100	96.5778
-38.2	38.2	100	100	96.8313
-38.3	38.3	100	100	97.0848
-38.4	38.4	100	100	97.2987
-38.5	38.5	100	100	97.3077
-38.6	38.6	100	100	97.3166
-38.7	38.7	100	100	97.3255
-38.8	38.8	100	100	97.3344
-38.9	38.9	100	100	97.3433
-39.0	39.0	100	100	97.3523
-39.1	39.1	100	100	97.3612
-39.2	39.2	100	100	97.3701
-39.3	39.3	100	100	97.379
-39.4	39.4	100	100	97.3879
-39.5	39.5	100	100	97.3968
-39.6	39.6	100	100	97.4058
-39.7	39.7	100	100	97.4147
-39.8	39.8	100	100	97.4236
-39.9	39.9	100	100	97.4325
-40.0	40.0	100	100	97.4414
-40.1	40.1	100	100	97.4504
-40.2	40.2	100	100	97.4593
-40.3	40.3	100	100	97.4682
-40.4	40.4	100	100	97.4771
-40.5	40.5	100	100	97.486
-40.6	40.6	100	100	97.495
-40.7	40.7	100	100	97.5039
-40.8	40.8	100	100	97.5128
-40.9	40.9	100	100	97.5217
-41.0	41.0	100	100	97.5306
-41.1	41.1	100	100	97.5395
-41.2	41.2	100	100	97.5485
-41.3	41.3	100	100	97.5574
-41.4	41.4	100	100	97.5663
-41.5	41.5	100	100	97.5752
-41.6	41.6	100	100	97.5841
-41.7	41.7	100	100	97.5931
-41.8	41.8	100	100	97.602
-41.9	41.9	100	100	97.6109
-42.0	42.0	100	100	97.6198
-42.1	42.1	100	100	97.6287
-42.2	42.2	100	100	97.6377
-42.3	42.3	100	100	97.6466
-42.4	42.4	100	100	97.6555
-42.5	42.5	100	100	97.6644
-42.6	42.6	100	100	97.6733
-42.7	42.7	100	100	97.6823
-42.8	42.8	100	100	97.6912
-42.9	42.9	100	100	97.7001
-43.0	43.0	100	100	97.709
-43.1	43.1	100	100	97.7179
-43.2	43.2	100	100	97.7268
-43.3	43.3	100	100	97.7358
-43.4	43.4	100	100	97.7447
-43.5	43.5	100	100	97.7536
-43.6	43.6	100	100	97.7625
-43.7	43.7	100	100	97.7714
-43.8	43.8	100	100	97.7804
-43.9	43.9	100	100	97.7893
-44.0	44.0	100	100	97.7982
-44.1	44.1	100	100	97.8071
-44.2	44.2	100	100	97.816
-44.3	44.3	100	100	97.825
-44.4	44.4	100	100	97.8339
-44.5	44.5	100	100	97.8428
-44.6	44.6	100	100	97.8517
-44.7	44.7	100	100	97.8606
-44.8	44.8	100	100	97.8695
-44.9	44.9	100	100	97.8785
-45.0	45.0	100	100	97.8874
-45.1	45.1	100	100	97.8963
-45.2	45.2	100	100	97.9052
-45.3	45.3	100	100	97.9141
-45.4	45.4	100	100	97.9231
-45.5	45.5	100	100	97.932
-45.6	45.6	100	100	97.9409
-45.7	45.7	100	100	97.9498
-45.8	45.8	100	100	97.9587
-45.9	45.9	100	100	97.9677
-46.0	46.0	100	100	97.9766
-46.1	46.1	100	100	97.9855
-46.2	46.2	100	100	97.9944
-46.3	46.3	100	100	98.0033
-46.4	46.4	100	100	98.0123
-46.5	46.5	100	100	98.0212
-46.6	46.6	100	100	98.0301
-46.7	46.7	100	100	98.039
-46.8	46.8	100	100	98.0479
-46.9	46.9	100	100	98.0568
-47.0	47.0	100	100	98.0658
-47.1	47.1	100	100	98.0747
-47.2	47.2	100	100	98.0836
-47.3	47.3	100	100	98.0925
-47.4	47.4	100	100	98.1014
-47.5	47.5	100	100	98.1104
-47.6	47.6	100	100	98.1193
-47.7	47.7	100	100	98.1282
-47.8	47.8	100	100	98.1371
-47.9	47.9	100	100	98.146
-48.0	48.0	100	100	98.155
-48.1	48.1	100	100	98.1639
-48.2	48.2	100	100	98.1728
-48.3	48.3	100	100	98.1817
-48.4	48.4	100	100	98.1906
-48.5	48.5	100	100	98.1995
-48.6	48.6	100	100	98.2085
-48.7	48.7	100	100	98.2174
-48.8	48.8	100	100	98.2263
-48.9	48.9	100	100	98.2352
-49.0	49.0	100	100	98.2441
-49.1	49.1	100	100	98.2531
-49.2	49.2	100	100	98.262
-49.3	49.3	100	100	98.2709
-49.4	49.4	100	100	98.2798
-49.5	49.5	100	100	98.2887
-49.6	49.6	100	100	98.2977
-49.7	49.7	100	100	98.3066
-49.8	49.8	100	100	98.3155
-49.9	49.9	100	100	98.3244
-50.0	50.0	100	100	98.3333
-50.1	50.1	100	100	98.3423
-50.2	50.2	100	100	98.3512
-50.3	50.3	100	100	98.3601
-50.4	50.4	100	100	98.369
-50.5	50.5	100	100	98.3779
-50.6	50.6	100	100	98.3868
-50.7	50.7	100	100	98.3958
-50.8	50.8	100	100	98.4047
-50.9	50.9	100	100	98.4136
-51.0	51.0	100	100	98.4225
-51.1	51.1	100	100	98.4314
-51.2	51.2	100	100	98.4404
-51.3	51.3	100	100	98.4493
-51.4	51.4	100	100	98.4582
-51.5	51.5	100	100	98.4671
-51.6	51.6	100	100	98.476
-51.7	51.7	100	100	98.485
-51.8	51.8	100	100	98.4939
-51.9	51.9	100	100	98.5028
-52.0	52.0	100	100	98.5117
-52.1	52.1	100	100	98.5206
-52.2	52.2	100	100	98.5295
-52.3	52.3	100	100	98.5385
-52.4	52.4	100	100	98.5474
-52.5	52.5	100	100	98.5563
-52.6	52.6	100	100	98.5652
-52.7	52.7	100	100	98.5741
-52.8	52.8	100	100	98.5831
-52.9	52.9	100	100	98.592
-53.0	53.0	100	100	98.6009
-53.1	53.1	100	100	98.6098
-53.2	53.2	100	100	98.6187
-53.3	53.3	100	100	98.6277
-53.4	53.4	100	100	98.6366
-53.5	53.5	100	100	98.6455
-53.6	53.6	100	100	98.6544
-53.7	53.7	100	100	98.6633
-53.8	53.8	100	100	98.6723
-53.9	53.9	100	100	98.6812
-54.0	54.0	100	100	98.6901
-54.1	54.1	100	100	98.699
-54.2	54.2	100	100	98.7079
-54.3	54.3	100	100	98.7168
-54.4	54.4	100	100	98.7258
-54.5	54.5	100	100	98.7347
-54.6	54.6	100	100	98.7436
-54.7	54.7	100	100	98.7525
-54.8	54.8	100	100	98.7614
-54.9	54.9	100	100	98.7704
-55.0	55.0	100	100	98.7793
-55.1	55.1	100	100	98.7882
-55.2	55.2	100	100	98.7971
-55.3	55.3	100	100	98.806
-55.4	55.4	100	100	98.815
-55.5	55.5	100	100	98.8239
-55.6	55.6	100	100	98.8328
-55.7	55.7	100	100	98.8417
-55.8	55.8	100	100	98.8506
-55.9	55.9	100	100	98.8595
-56.0	56.0	100	100	98.8685
-56.1	56.1	100	100	98.8774
-56.2	56.2	100	100	98.8863
-56.3	56.3	100	100	98.8952
-56.4	56.4	100	100	98.9041
-56.5	56.5	100	100	98.9131
-56.6	56.6	100	100	98.922
-56.7	56.7	100	100	98.9309
-56.8	56.8	100	100	98.9398
-56.9	56.9	100	100	98.9487
-57.0	57.0	100	100	98.9577
-57.1	57.1	100	100	98.9666
-57.2	57.2	100	100	98.9755
-57.3	57.3	100	100	98.9844
-57.4	57.4	100	100	98.9933
-57.5	57.5	100	100	99.0023
-57.6	57.6	100	100	99.0112
-57.7	57.7	100	100	99.0201
-57.8	57.8	100	100	99.029
-57.9	57.9	100	100	99.0379
-58.0	58.0	100	100	99.0468
-58.1	58.1	100	100	99.0558
-58.2	58.2	100	100	99.0647
-58.3	58.3	100	100	99.0736
-58.4	58.4	100	100	99.0825
-58.5	58.5	100	100	99.0914
-58.6	58.6	100	100	99.1004
-58.7	58.7	100	100	99.1093
-58.8	58.8	100	100	99.1182
-58.9	58.9	100	100	99.1271
-59.0	59.0	100	100	99.136
-59.1	59.1	100	100	99.145
-59.2	59.2	100	100	99.1539
-59.3	59.3	100	100	99.1628
-59.4	59.4	100	100	99.1717
-59.5	59.5	100	100	99.1806
-59.6	59.6	100	100	99.1895
-59.7	59.7	100	100	99.1985
-59.8	59.8	100	100	99.2074
-59.9	59.9	100	100	99.2163
-60.0	60.0	100	100	99.2252
-60.1	60.1	100	100	99.2341
-60.2	60.2	100	100	99.2431
-60.3	60.3	100	100	99.252
-60.4	60.4	100	100	99.2609
-60.5	60.5	100	100	99.2698
-60.6	60.6	100	100	99.2787
-60.7	60.7	100	100	99.2877
-60.8	60.8	100	100	99.2966
-60.9	60.9	100	100	99.3055
-61.0	61.0	100	100	99.3144
-61.1	61.1	100	100	99.3233
-61.2	61.2	100	100	99.3323
-61.3	61.3	100	100	99.3412
-61.4	61.4	100	100	99.3501
-61.5	61.5	100	100	99.359
-61.6	61.6	100	100	99.3679
-61.7	61.7	100	100	99.3768
-61.8	61.8	100	100	99.3858
-61.9	61.9	100	100	99.3947
-62.0	62.0	100	100	99.4036
-62.1	62.1	100	100	99.4125
-62.2	62.2	100	100	99.4214
-62.3	62.3	100	100	99.4304
-62.4	62.4	100	100	99.4393
-62.5	62.5	100	100	99.4482
-62.6	62.6	100	100	99.4571
-62.7	62.7	100	100	99.466
-62.8	62.8	100	100	99.475
-62.9	62.9	100	100	99.4839
-63.0	63.0	100	100	99.4928
-63.1	63.1	100	100	99.5017
-63.2	63.2	100	100	99.5106
-63.3	63.3	100	100	99.5195
-63.4	63.4	100	100	99.5285
-63.5	63.5	100	100	99.5374
-63.6	63.6	100	100	99.5463
-63.7	63.7	100	100	99.5552
-63.8	63.8	100	100	99.5641
-63.9	63.9	100	100	99.5731
-64.0	64.0	100	100	99.582
-64.1	64.1	100	100	99.5909
-64.2	64.2	100	100	99.5998
-64.3	64.3	100	100	99.6087
-64.4	64.4	100	100	99.6177
-64.5	64.5	100	100	99.6266
-64.6	64.6	100	100	99.6355
-64.7	64.7	100	100	99.6444
-64.8	64.8	100	100	99.6533
-64.9	64.9	100	100	99.6623
-65.0	65.0	100	100	99.6712
-65.1	65.1	100	100	99.6801
-65.2	65.2	100	100	99.689
-65.3	65.3	100	100	99.6979
-65.4	65.4	100	100	99.7068
-65.5	65.5	100	100	99.7158
-65.6	65.6	100	100	99.7247
-65.7	65.7	100	100	99.7336
-65.8	65.8	100	100	99.7425
-65.9	65.9	100	100	99.7514
-66.0	66.0	100	100	99.7604
-66.1	66.1	100	100	99.7693
-66.2	66.2	100	100	99.7782
-66.3	66.3	100	100	99.7871
-66.4	66.4	100	100	99.796
-66.5	66.5	100	100	99.805
-66.6	66.6	100	100	99.8139
-66.7	66.7	100	100	99.8228
-66.8	66.8	100	100	99.8317
-66.9	66.9	100	100	99.8406
-67.0	67.0	100	100	99.8495
-67.1	67.1	100	100	99.8585
-67.2	67.2	100	100	99.8674
-67.3	67.3	100	100	99.8763
-67.4	67.4	100	100	99.8852
-67.5	67.5	100	100	99.8941
-67.6	67.6	100	100	99.9031
-67.7	67.7	100	100	99.912
-67.8	67.8	100	100	99.9209
-67.9	67.9	100	100	99.9298
-68.0	68.0	100	100	99.9387
-68.1	68.1	100	100	99.9477
-68.2	68.2	100	100	99.9566
-68.3	68.3	100	100	99.9655
-68.4	68.4	100	100	99.9744
-68.5	68.5	100	100	99.9833
-68.6	68.6	100	100	99.9923
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.30871
-0.2	0.2	0.63871	0.63871	0.617419
-0.3	0.3	0.958065	0.958065	0.926129
-0.4	0.4	1.27742	1.27742	1.23484
-0.5	0.5	1.59677	1.59677	1.54355
-0.6	0.6	1.91613	1.91613	1.85226
-0.7	0.7	2.23548	2.23548	2.16097
-0.8	0.8	2.55484	2.55484	2.46968
-0.9	0.9	2.87419	2.87419	2.77839
-1.0	1.0	3.19355	3.19355	3.0871
-1.1	1.1	3.5129	3.5129	3.39581
-1.2	1.2	3.83226	3.83226	3.70452
-1.3	1.3	4.15161	4.15161	4.01323
-1.4	1.4	4.47097	4.47097	4.32194
-1.5	1.5	4.79032	4.79032	4.63065
-1.6	1.6	5.10968	5.10968	4.93935
-1.7	1.7	5.42903	5.42903	5.24806
-1.8	1.8	5.74839	5.74839	5.55677
-1.9	1.9	6.06774	6.06774	5.86548
-2.0	2.0	6.3871	6.3871	6.17419
-2.1	2.1	6.70645	6.70645	6.4829
-2.2	2.2	7.02581	7.02581	6.79161
-2.3	2.3	7.34516	7.34516	7.10032
-2.4	2.4	7.66452	7.66452	7.40903
-2.5	2.5	7.98387	7.98387	7.71774
-2.6	2.6	8.30323	8.30323	8.02645
-2.7	2.7	8.62258	8.62258	8.33516
-2.8	2.8	8.94194	8.94194	8.64387
-2.9	2.9	9.26129	9.26129	8.95258
-3.0	3.0	9.58065	9.58065	9.26129
-3.1	3.1	9.9	9.9	9.57
-3.2	3.2	10.2194	10.2194	9.87871
-3.3	3.3	10.5387	10.5387	10.1874
-3.4	3.4	10.8581	10.8581	10.4961
-3.5	3.5	11.1774	11.1774	10.8048
-3.6	3.6	11.4968	11.4968	11.1135
-3.7	3.7	11.8161	11.8161	11.4223
-3.8	3.8	12.1355	12.1355	11.731
-3.9	3.9	12.4548	12.4548	12.0397
-4.0	4.0	12.7742	12.7742	12.3484
-4.1	4.1	13.0935	13.0935	12.6571
-4.2	4.2	13.4129	13.4129	12.9658
-4.3	4.3	13.7323	13.7323	13.2745
-4.4	4.4	14.0516	14.0516	13.5832
-4.5	4.5	14.371	14.371	13.8919
-4.6	4.6	14.6903	14.6903	14.2006
-4.7	4.7	15.0097	15.0097	14.5094
-4.8	4.8	15.329	15.329	14.8181
-4.9	4.9	15.6484	15.6484	15.1268
-5.0	5.0	15.9677	15.9677	15.4355
-5.1	5.1	16.2871	16.2871	15.7442
-5.2	5.2	16.6065	16.6065	16.0529
-5.3	5.3	16.9258	16.9258	16.3616
-5.4	5.4	17.2452	17.2452	16.6703
-5.5	5.5	17.5645	17.5645	16.979
-5.6	5.6	17.8839	17.8839	17.2877
-5.7	5.7	18.2032	18.2032	17.5965
-5.8	5.8	18.5226	18.5226	17.9052
-5.9	5.9	18.8419	18.8419	18.2139
-6.0	6.0	19.1613	19.1613	18.5226
-6.1	6.1	19.4806	19.4806	18.8313
-6.2	6.2	19.8	19.8	19.14
-6.3	6.3	20.1194	20.1194	19.4487
-6.4	6.4	20.4387	20.4387	19.7574
-6.5	6.5	20.7581	20.7581	20.0661
-6.6	6.6	21.0774	21.0774	20.3748
-6.7	6.7	21.3968	21.3968	20.6835
-6.8	6.8	21.7161	21.7161	20.9923
-6.9	6.9	22.0355	22.0355	21.301
-7.0	7.0	22.3548	22.3548	21.6097
-7.1	7.1	22.6742	22.6742	21.9184
-7.2	7.2	22.9935	22.9935	22.2271
-7.3	7.3	23.3129	23.3129	22.5358
-7.4	7.4	23.6323	23.6323	22.8445
-7.5	7.5	23.9516	23.9516	23.1532
-7.6	7.6	24.271	24.271	23.4619
-7.7	7.7	24.5903	24.5903	23.7706
-7.8	7.8	24.9097	24.9097	24.0794
-7.9	7.9	25.229	25.229	24.3881
-8.0	8.0	25.5484	25.5484	24.6968
-8.1	8.1	25.8677	25.8677	25.0055
-8.2	8.2	26.1871	26.1871	25.3142
-8.3	8.3	26.5065	26.5065	25.6229
-8.4	8.4	26.8258	26.8258	25.9316
-8.5	8.5	27.1452	27.1452	26.2403
-8.6	8.6	27.4645	27.4645	26.549
-8.7	8.7	27.7839	27.7839	26.8577
-8.8	8.8	28.1032	28.1032	27.1665
-8.9	8.9	28.4226	28.4226	27.4752
-9.0	9.0	28.7419	28.7419	27.7839
-9.1	9.1	29.0613	29.0613	28.0926
-9.2	9.2	29.3806	29.3806	28.4013
-9.3	9.3	29.7	29.7	28.71
-9.4	9.4	30.0194	30.0194	29.0187
-9.5	9.5	30.3387	30.3387	29.3274
-9.6	9.6	30.6581	30.6581	29.6361
-9.7	9.7	30.9774	30.9774	29.9448
-9.8	9.8	31.2968	31.2968	30.2535
-9.9	9.9	31.6161	31.6161	30.5623
-10.0	10.0	31.9355	31.9355	30.871
-10.1	10.1	32.2548	32.2548	31.1797
-10.2	10.2	32.5742	32.5742	31.4884
-10.3	10.3	32.8935	32.8935	31.7971
-10.4	10.4	33.2129	33.2129	32.1058
-10.5	10.5	33.5323	33.5323	32.4145
-10.6	10.6	33.8516	33.8516	32.7232
-10.7	10.7	34.171	34.171	33.0319
-10.8	10.8	34.4903	34.4903	33.3406
-10.9	10.9	34.8097	34.8097	33.6494
-11.0	11.0	35.129	35.129	33.9581
-11.1	11.1	35.4484	35.4484	34.2668
-11.2	11.2	35.7677	35.7677	34.5755
-11.3	11.3	36.0871	36.0871	34.8842
-11.4	11.4	36.4065	36.4065	35.1929
-11.5	11.5	36.7258	36.7258	35.5016
-11.6	11.6	37.0452	37.0452	35.8103
-11.7	11.7	37.3645	37.3645	36.119
-11.8	11.8	37.6839	37.6839	36.4277
-11.9	11.9	38.0032	38.0032	36.7365
-12.0	12.0	38.3226	38.3226	37.0452
-12.1	12.1	38.6419	38.6419	37.3539
-12.2	12.2	38.9613	38.9613	37.6626
-12.3	12.3	39.2806	39.2806	37.9713
-12.4	12.4	39.6	39.6	38.28
-12.5	12.5	39.9194	39.9194	38.5887
-12.6	12.6	40.2387	40.2387	38.8974
-12.7	12.7	40.5581	40.5581	39.2061
-12.8	12.8	40.8774	40.8774	39.5148
-12.9	12.9	41.1968	41.1968	39.8235
-13.0	13.0	41.5161	41.5161	40.1323
-13.1	13.1	41.8355	41.8355	40.441
-13.2	13.2	42.1548	42.1548	40.7497
-13.3	13.3	42.4742	42.4742	41.0584
-13.4	13.4	42.7935	42.7935	41.3671
-13.5	13.5	43.1129	43.1129	41.6758
-13.6	13.6	43.4323	43.4323	41.9845
-13.7	13.7	43.7516	43.7516	42.2932
-13.8	13.8	44.071	44.071	42.6019
-13.9	13.9	44.3903	44.3903	42.9106
-14.0	14.0	44.7097	44.7097	43.2194
-14.1	14.1	45.029	45.029	43.5281
-14.2	14.2	45.3484	45.3484	43.8368
-14.3	14.3	45.6677	45.6677	44.1455
-14.4	14.4	45.9871	45.9871	44.4542
-14.5	14.5	46.3065	46.3065	44.7629
-14.6	14.6	46.6258	46.6258	45.0716
-14.7	14.7	46.9452	46.9452	45.3803
-14.8	14.8	47.2645	47.2645	45.689
-14.9	14.9	47.5839	47.5839	45.9977
-15.0	15.0	47.9032	47.9032	46.3065
-15.1	15.1	48.2226	48.2226	46.6152
-15.2	15.2	48.5419	48.5419	46.9239
-15.3	15.3	48.8613	48.8613	47.2326
-15.4	15.4	49.1806	49.1806	47.5413
-15.5	15.5	49.5	49.5	47.85
-15.6	15.6	49.8194	49.8194	48.1587
-15.7	15.7	50.1387	50.1387	48.4674
-15.8	15.8	50.4581	50.4581	48.7761
-15.9	15.9	50.7774	50.7774	49.0848
-16.0	16.0	51.0968	51.0968	49.3935
-16.1	16.1	51.4161	51.4161	49.7023
-16.2	16.2	51.7355	51.7355	50.011
-16.3	16.3	52.0548	52.0548	50.3197
-16.4	16.4	52.3742	52.3742	50.6284
-16.5	16.5	52.6935	52.6935	50.9371
-16.6	16.6	53.0129	53.0129	51.2458
-16.7	16.7	53.3323	53.3323	51.5545
-16.8	16.8	53.6516	53.6516	51.8632
-16.9	16.9	53.971	53.971	52.1719
-17.0	17.0	54.2903	54.2903	52.4806
-17.1	17.1	54.6097	54.6097	52.7894
-17.2	17.2	54.929	54.929	53.0981
-17.3	17.3	55.2484	55.2484	53.4068
-17.4	17.4	55.5677	55.5677	53.7155
-17.5	17.5	55.8871	55.8871	54.0242
-17.6	17.6	56.2065	56.2065	54.3329
-17.7	17.7	56.5258	56.5258	54.6416
-17.8	17.8	56.8452	56.8452	54.9503
-17.9	17.9	57.1645	57.1645	55.259
-18.0	18.0	57.4839	57.4839	55.5677
-18.1	18.1	57.8032	57.8032	55.8765
-18.2	18.2	58.1226	58.1226	56.1852
-18.3	18.3	58.4419	58.4419	56.4939
-18.4	18.4	58.7613	58.7613	56.8026
-18.5	18.5	59.0806	59.0806	57.1113
-18.6	18.6	59.4	59.4	57.42
-18.7	18.7	59.7194	59.7194	57.7287
-18.8	18.8	60.0387	60.0387	58.0374
-18.9	18.9	60.3581	60.3581	58.3461
-19.0	19.0	60.6774	60.6774	58.6548
-19.1	19.1	60.9968	60.9968	58.9635
-19.2	19.2	61.3161	61.3161	59.2723
-19.3	19.3	61.6355	61.6355	59.581
-19.4	19.4	61.9548	61.9548	59.8897
-19.5	19.5	62.2742	62.2742	60.1984
-19.6	19.6	62.5935	62.5935	60.5071
-19.7	19.7	62.9129	62.9129	60.8158
-19.8	19.8	63.2323	63.2323	61.1245
-19.9	19.9	63.5516	63.5516	61.4332
-20.0	20.0	63.871	63.871	61.7419
-20.1	20.1	64.1903	64.1903	62.0506
-20.2	20.2	64.5097	64.5097	62.3594
-20.3	20.3	64.829	64.829	62.6681
-20.4	20.4	65.1484	65.1484	62.9768
-20.5	20.5	65.4677	65.4677	63.2855
-20.6	20.6	65.7871	65.7871	63.5942
-20.7	20.7	66.1065	66.1065	63.9029
-20.8	20.8	66.4258	66.4258	64.2116
-20.9	20.9	66.7452	66.7452	64.5203
-21.0	21.0	67.0645	67.0645	64.829
-21.1	21.1	67.3839	67.3839	65.1377
-21.2	21.2	67.7032	67.7032	65.4465
-21.3	21.3	68.0226	68.0226	65.7552
-21.4	21.4	68.3419	68.3419	66.0639
-21.5	21.5	68.6613	68.6613	66.3726
-21.6	21.6	68.9806	68.9806	66.6813
-21.7	21.7	69.3	69.3	66.99
-21.8	21.8	69.6194	69.6194	67.2987
-21.9	21.9	69.9387	69.9387	67.6074
-22.0	22.0	70.2581	70.2581	67.9161
-22.1	22.1	70.5774	70.5774	68.2248
-22.2	22.2	70.8968	70.8968	68.5335
-22.3	22.3	71.2161	71.2161	68.8423
-22.4	22.4	71.5355	71.5355	69.151
-22.5	22.5	71.8548	71.8548	69.4597
-22.6	22.6	72.1742	72.1742	69.7684
-22.7	22.7	72.4935	72.4935	70.0771
-22.8	22.8	72.8129	72.8129	70.3858
-22.9	22.9	73.1323	73.1323	70.6945
-23.0	23.0	73.4516	73.4516	71.0032
-23.1	23.1	73.771	73.771	71.3119
-23.2	23.2	74.0903	74.0903	71.6206
-23.3	23.3	74.4097	74.4097	71.9294
-23.4	23.4	74.729	74.729	72.2381
-23.5	23.5	75.0484	75.0484	72.5468
-23.6	23.6	75.3677	75.3677	72.8555
-23.7	23.7	75.6871	75.6871	73.1642
-23.8	23.8	76.0065	76.0065	73.4729
-23.9	23.9	76.3258	76.3258	73.7816
-24.0	24.0	76.6452	76.6452	74.0903
-24.1	24.1	76.9645	76.9645	74.399
-24.2	24.2	77.2839	77.2839	74.7077
-24.3	24.3	77.6032	77.6032	75.0165
-24.4	24.4	77.9226	77.9226	75.3252
-24.5	24.5	78.2419	78.2419	75.6339
-24.6	24.6	78.5613	78.5613	75.9426
-24.7	24.7	78.8806	78.8806	76.2513
-24.8	24.8	79.2	79.2	76.56
-24.9	24.9	79.5194	79.5194	76.8687
-25.0	25.0	79.8387	79.8387	77.1774
-25.1	25.1	80.1581	80.1581	77.4861
-25.2	25.2	80.4774	80.4774	77.7948
-25.3	25.3	80.7968	80.7968	78.1035
-25.4	25.4	81.1161	81.1161	78.4123
-25.5	25.5	81.4355	81.4355	78.721
-25.6	25.6	81.7548	81.7548	79.0297
-25.7	25.7	82.0742	82.0742	79.3384
-25.8	25.8	82.3935	82.3935	79.6471
-25.9	25.9	82.7129	82.7129	79.9558
-26.0	26.0	83.0323	83.0323	80.2645
-26.1	26.1	83.3516	83.3516	80.5732
-26.2	26.2	83.671	83.671	80.8819
-26.3	26.3	83.9903	83.9903	81.1906
-26.4	26.4	84.3097	84.3097	81.4994
-26.5	26.5	84.629	84.629	81.8081
-26.6	26.6	84.9484	84.9484	82.1168
-26.7	26.7	85.2677	85.2677	82.4255
-26.8	26.8	85.5871	85.5871	82.7342
-26.9	26.9	85.9065	85.9065	83.0429
-27.0	27.0	86.2258	86.2258	83.3516
-27.1	27.1	86.5452	86.5452	83.6603
-27.2	27.2	86.8645	86.8645	83.969
-27.3	27.3	87.1839	87.1839	84.2777
-27.4	27.4	87.5032	87.5032	84.5865
-27.5	27.5	87.8226	87.8226	84.8952
-27.6	27.6	88.1419	88.1419	85.2039
-27.7	27.7	88.4613	88.4613	85.5126
-27.8	27.8	88.7806	88.7806	85.8213
-27.9	27.9	89.1	89.1	86.13
-28.0	28.0	89.4194	89.4194	86.4387
-28.1	28.1	89.7387	89.7387	86.7474
-28.2	28.2	90.0581	90.0581	87.0561
-28.3	28.3	90.3774	90.3774	87.3648
-28.4	28.4	90.6968	90.6968	87.6735
-28.5	28.5	91.0161	91.0161	87.9823
-28.6	28.6	91.3355	91.3355	88.291
-28.7	28.7	91.6548	91.6548	88.5997
-28.8	28.8	91.9742	91.9742	88.9084
-28.9	28.9	92.2935	92.2935	89.2171
-29.0	29.0	92.6129	92.6129	89.5258
-29.1	29.1	92.9323	92.9323	89.8345
-29.2	29.2	93.2516	93.2516	90.1432
-29.3	29.3	93.571	93.571	90.4519
-29.4	29.4	93.8903	93.8903	90.7606
-29.5	29.5	94.2097	94.2097	91.0694
-29.6	29.6	94.529	94.529	91.3781
-29.7	29.7	94.8484	94.8484	91.6868
-29.8	29.8	95.1677	95.1677	91.9955
-29.9	29.9	95.4871	95.4871	92.3042
-30.0	30.0	95.8065	95.8065	92.6129
-30.1	30.1	96.1258	96.1258	92.9216
-30.2	30.2	96.4452	96.4452	93.2303
-30.3	30.3	96.7645	96.7645	93.539
-30.4	30.4	97.0839	97.0839	93.5647
-30.5	30.5	97.4032	97.4032	93.5815
-30.6	30.6	97.7226	97.7226	93.5983
-30.7	30.7	98.0419	98.0419	93.6151
-30.8	30.8	98.3613	98.3613	93.6319
-30.9	30.9	98.6806	98.6806	93.6487
-31.0	31.0	99	99	93.6655
-31.1	31.1	99.3194	99.3194	93.6823
-31.2	31.2	99.6387	99.6387	93.6992
-31.3	31.3	99.9581	99.9581	93.716
-31.4	31.4	100	100	93.7328
-31.5	31.5	100	100	93.7496
-31.6	31.6	100	100	93.7664
-31.7	31.7	100	100	93.7832
-31.8	31.8	100	100	93.8
-31.9	31.9	100	100	93.8168
-32.0	32.0	100	100	93.8336
-32.1	32.1	100	100	93.8504
-32.2	32.2	100	100	93.8672
-32.3	32.3	100	100	93.884
-32.4	32.4	100	100	93.9008
-32.5	32.5	100	100	93.9177
-32.6	32.6	100	100	93.9345
-32.7	32.7	100	100	93.9513
-32.8	32.8	100	100	93.9681
-32.9	32.9	100	100	93.9849
-33.0	33.0	100	100	94.0017
-33.1	33.1	100	100	94.0185
-33.2	33.2	100	100	94.0353
-33.3	33.3	100	100	94.0521
-33.4	33.4	100	100	94.0689
-33.5	33.5	100	100	94.0857
-33.6	33.6	100	100	94.1025
-33.7	33.7	100	100	94.1194
-33.8	33.8	100	100	94.1362
-33.9	33.9	100	100	94.153
-34.0	34.0	100	100	94.1698
-34.1	34.1	100	100	94.1866
-34.2	34.2	100	100	94.2034
-34.3	34.3	100	100	94.2202
-34.4	34.4	100	100	94.237
-34.5	34.5	100	100	94.2538
-34.6	34.6	100	100	94.2706
-34.7	34.7	100	100	94.2874
-34.8	34.8	100	100	94.3042
-34.9	34.9	100	100	94.3211
-35.0	35.0	100	100	94.3379
-35.1	35.1	100	100	94.3547
-35.2	35.2	100	100	94.3715
-35.3	35.3	100	100	94.3883
-35.4	35.4	100	100	94.4051
-35.5	35.5	100	100	94.4219
-35.6	35.6	100	100	94.4387
-35.7	35.7	100	100	94.4555
-35.8	35.8	100	100	94.4723
-35.9	35.9	100	100	94.4891
-36.0	36.0	100	100	94.5059
-36.1	36.1	100	100	94.5228
-36.2	36.2	100	100	94.5396
-36.3	36.3	100	100	94.5564
-36.4	36.4	100	100	94.5732
-36.5	36.5	100	100	94.59
-36.6	36.6	100	100	94.6068
-36.7	36.7	100	100	94.6236
-36.8	36.8	100	100	94.6404
-36.9	36.9	100	100	94.6572
-37.0	37.0	100	100	94.674
-37.1	37.1	100	100	94.6908
-37.2	37.2	100	100	94.7076
-37.3	37.3	100	100	94.7244
-37.4	37.4	100	100	94.7413
-37.5	37.5	100	100	94.7581
-37.6	37.6	100	100	94.7749
-37.7	37.7	100	100	94.7917
-37.8	37.8	100	100	94.8085
-37.9	37.9	100	100	94.8253
-38.0	38.0	100	100	94.8421
-38.1	38.1	100	100	94.8589
-38.2	38.2	100	100	94.8757
-38.3	38.3	100	100	94.8925
-38.4	38.4	100	100	94.9093
-38.5	38.5	100	100	94.9261
-38.6	38.6	100	100	94.943
-38.7	38.7	100	100	94.9598
-38.8	38.8	100	100	94.9766
-38.9	38.9	100	100	94.9934
-39.0	39.0	100	100	95.0102
-39.1	39.1	100	100	95.027
-39.2	39.2	100	100	95.0438
-39.3	39.3	100	100	95.0606
-39.4	39.4	100	100	95.0774
-39.5	39.5	100	100	95.0942
-39.6	39.6	100	100	95.111
-39.7	39.7	100	100	95.1278
-39.8	39.8	100	100	95.1447
-39.9	39.9	100	100	95.1615
-40.0	40.0	100	100	95.1783
-40.1	40.1	100	100	95.1951
-40.2	40.2	100	100	95.2119
-40.3	40.3	100	100	95.2287
-40.4	40.4	100	100	95.2455
-40.5	40.5	100	100	95.2623
-40.6	40.6	100	100	95.2791
-40.7	40.7	100	100	95.2959
-40.8	40.8	100	100	95.3127
-40.9	40.9	100	100	95.3295
-41.0	41.0	100	100	95.3463
-41.1	41.1	100	100	95.3632
-41.2	41.2	100	100	95.38
-41.3	41.3	100	100	95.3968
-41.4	41.4	100	100	95.4136
-41.5	41.5	100	100	95.4304
-41.6	41.6	100	100	95.4472
-41.7	41.7	100	100	95.464
-41.8	41.8	100	100	95.4808
-41.9	41.9	100	100	95.4976
-42.0	42.0	100	100	95.5144
-42.1	42.1	100	100	95.5312
-42.2	42.2	100	100	95.548
-42.3	42.3	100	100	95.5649
-42.4	42.4	100	100	95.5817
-42.5	42.5	100	100	95.5985
-42.6	42.6	100	100	95.6153
-42.7	42.7	100	100	95.6321
-42.8	42.8	100	100	95.6489
-42.9	42.9	100	100	95.6657
-43.0	43.0	100	100	95.6825
-43.1	43.1	100	100	95.6993
-43.2	43.2	100	100	95.7161
-43.3	43.3	100	100	95.7329
-43.4	43.4	100	100	95.7497
-43.5	43.5	100	100	95.7666
-43.6	43.6	100	100	95.7834
-43.7	43.7	100	100	95.8002
-43.8	43.8	100	100	95.817
-43.9	43.9	100	100	95.8338
-44.0	44.0	100	100	95.8506
-44.1	44.1	100	100	95.8674
-44.2	44.2	100	100	95.8842
-44.3	44.3	100	100	95.901
-44.4	44.4	100	100	95.9178
-44.5	44.5	100	100	95.9346
-44.6	44.6	100	100	95.9514
-44.7	44.7	100	100	95.9683
-44.8	44.8	100	100	95.9851
-44.9	44.9	100	100	96.0019
-45.0	45.0	100	100	96.0187
-45.1	45.1	100	100	96.0355
-45.2	45.2	100	100	96.0523
-45.3	45.3	100	100	96.0691
-45.4	45.4	100	100	96.0859
-45.5	45.5	100	100	96.1027
-45.6	45.6	100	100	96.1195
-45.7	45.7	100	100	96.1363
-45.8	45.8	100	100	96.1531
-45.9	45.9	100	100	96.1699
-46.0	46.0	100	100	96.1868
-46.1	46.1	100	100	96.2036
-46.2	46.2	100	100	96.2204
-46.3	46.3	100	100	96.2372
-46.4	46.4	100	100	96.254
-46.5	46.5	100	100	96.2708
-46.6	46.6	100	100	96.2876
-46.7	46.7	100	100	96.3044
-46.8	46.8	100	100	96.3212
-46.9	46.9	100	100	96.338
-47.0	47.0	100	100	96.3548
-47.1	47.1	100	100	96.3716
-47.2	47.2	100	100	96.3885
-47.3	47.3	100	100	96.4053
-47.4	47.4	100	100	96.4221
-47.5	47.5	100	100	96.4389
-47.6	47.6	100	100	96.4557
-47.7	47.7	100	100	96.4725
-47.8	47.8	100	100	96.4893
-47.9	47.9	100	100	96.5061
-48.0	48.0	100	100	96.5229
-48.1	48.1	100	100	96.5397
-48.2	48.2	100	100	96.5565
-48.3	48.3	100	100	96.5733
-48.4	48.4	100	100	96.5902
-48.5	48.5	100	100	96.607
-48.6	48.6	100	100	96.6238
-48.7	48.7	100	100	96.6406
-48.8	48.8	100	100	96.6574
-48.9	48.9	100	100	96.6742
-49.0	49.0	100	100	96.691
-49.1	49.1	100	100	96.7078
-49.2	49.2	100	100	96.7246
-49.3	49.3	100	100	96.7414
-49.4	49.4	100	100	96.7582
-49.5	49.5	100	100	96.775
-49.6	49.6	100	100	96.7919
-49.7	49.7	100	100	96.8087
-49.8	49.8	100	100	96.8255
-49.9	49.9	100	100	96.8423
-50.0	50.0	100	100	96.8591
-50.1	50.1	100	100	96.8759
-50.2	50.2	100	100	96.8927
-50.3	50.3	100	100	96.9095
-50.4	50.4	100	100	96.9263
-50.5	50.5	100	100	96.9431
-50.6	50.6	100	100	96.9599
-50.7	50.7	100	100	96.9767
-50.8	50.8	100	100	96.9935
-50.9	50.9	100	100	97.0104
-51.0	51.0	100	100	97.0272
-51.1	51.1	100	100	97.044
-51.2	51.2	100	100	97.0608
-51.3	51.3	100	100	97.0776
-51.4	51.4	100	100	97.0944
-51.5	51.5	100	100	97.1112
-51.6	51.6	100	100	97.128
-51.7	51.7	100	100	97.1448
-51.8	51.8	100	100	97.1616
-51.9	51.9	100	100	97.1784
-52.0	52.0	100	100	97.1952
-52.1	52.1	100	100	97.2121
-52.2	52.2	100	100	97.2289
-52.3	52.3	100	100	97.2457
-52.4	52.4	100	100	97.2625
-52.5	52.5	100	100	97.2793
-52.6	52.6	100	100	97.2961
-52.7	52.7	100	100	97.3129
-52.8	52.8	100	100	97.3297
-52.9	52.9	100	100	97.3465
-53.0	53.0	100	100	97.3633
-53.1	53.1	100	100	97.3801
-53.2	53.2	100	100	97.3969
-53.3	53.3	100	100	97.4138
-53.4	53.4	100	100	97.4306
-53.5	53.5	100	100	97.4474
-53.6	53.6	100	100	97.4642
-53.7	53.7	100	100	97.481
-53.8	53.8	100	100	97.4978
-53.9	53.9	100	100	97.5146
-54.0	54.0	100	100	97.5314
-54.1	54.1	100	100	97.5482
-54.2	54.2	100	100	97.565
-54.3	54.3	100	100	97.5818
-54.4	54.4	100	100	97.5986
-54.5	54.5	100	100	97.6154
-54.6	54.6	100	100	97.6323
-54.7	54.7	100	100	97.6491
-54.8	54.8	100	100	97.6659
-54.9	54.9	100	100	97.6827
-55.0	55.0	100	100	97.6995
-55.1	55.1	100	100	97.7163
-55.2	55.2	100	100	97.7331
-55.3	55.3	100	100	97.7499
-55.4	55.4	100	100	97.7667
-55.5	55.5	100	100	97.7835
-55.6	55.6	100	100	97.8003
-55.7	55.7	100	100	97.8171
-55.8	55.8	100	100	97.834
-55.9	55.9	100	100	97.8508
-56.0	56.0	100	100	97.8676
-56.1	56.1	100	100	97.8844
-56.2	56.2	100	100	97.9012
-56.3	56.3	100	100	97.918
-56.4	56.4	100	100	97.9348
-56.5	56.5	100	100	97.9516
-56.6	56.6	100	100	97.9684
-56.7	56.7	100	100	97.9852
-56.8	56.8	100	100	98.002
-56.9	56.9	100	100	98.0188
-57.0	57.0	100	100	98.0357
-57.1	57.1	100	100	98.0525
-57.2	57.2	100	100	98.0693
-57.3	57.3	100	100	98.0861
-57.4	57.4	100	100	98.1029
-57.5	57.5	100	100	98.1197
-57.6	57.6	100	100	98.1365
-57.7	57.7	100	100	98.1533
-57.8	57.8	100	100	98.1701
-57.9	57.9	100	100	98.1869
-58.0	58.0	100	100	98.2037
-58.1	58.1	100	100	98.2205
-58.2	58.2	100	100	98.2374
-58.3	58.3	100	100	98.2542
-58.4	58.4	100	100	98.271
-58.5	58.5	100	100	98.2878
-58.6	58.6	100	100	98.3046
-58.7	58.7	100	100	98.3214
-58.8	58.8	100	100	98.3382
-58.9	58.9	100	100	98.355
-59.0	59.0	100	100	98.3718
-59.1	59.1	100	100	98.3886
-59.2	59.2	100	100	98.4054
-59.3	59.3	100	100	98.4222
-59.4	59.4	100	100	98.439
-59.5	59.5	100	100	98.4559
-59.6	59.6	100	100	98.4727
-59.7	59.7	100	100	98.4895
-59.8	59.8	100	100	98.5063
-59.9	59.9	100	100	98.5231
-60.0	60.0	100	100	98.5399
-60.1	60.1	100	100	98.5567
-60.2	60.2	100	100	98.5735
-60.3	60.3	100	100	98.5903
-60.4	60.4	100	100	98.6071
-60.5	60.5	100	100	98.6239
-60.6	60.6	100	100	98.6407
-60.7	60.7	100	100	98.6576
-60.8	60.8	100	100	98.6744
-60.9	60.9	100	100	98.6912
-61.0	61.0	100	100	98.708
-61.1	61.1	100	100	98.7248
-61.2	61.2	100	100	98.7416
-61.3	61.3	100	100	98.7584
-61.4	61.4	100	100	98.7752
-61.5	61.5	100	100	98.792
-61.6	61.6	100	100	98.8088
-61.7	61.7	100	100	98.8256
-61.8	61.8	100	100	98.8424
-61.9	61.9	100	100	98.8593
-62.0	62.0	100	100	98.8761
-62.1	62.1	100	100	98.8929
-62.2	62.2	100	100	98.9097
-62.3	62.3	100	100	98.9265
-62.4	62.4	100	100	98.9433
-62.5	62.5	100	100	98.9601
-62.6	62.6	100	100	98.9769
-62.7	62.7	100	100	98.9937
-62.8	62.8	100	100	99.0105
-62.9	62.9	100	100	99.0273
-63.0	63.0	100	100	99.0441
-63.1	63.1	100	100	99.061
-63.2	63.2	100	100	99.0778
-63.3	63.3	100	100	99.0946
-63.4	63.4	100	100	99.1114
-63.5	63.5	100	100	99.1282
-63.6	63.6	100	100	99.145
-63.7	63.7	100	100	99.1618
-63.8	63.8	100	100	99.1786
-63.9	63.9	100	100	99.1954
-64.0	64.0	100	100	99.2122
-64.1	64.1	100	100	99.229
-64.2	64.2	100	100	99.2458
-64.3	64.3	100	100	99.2626
-64.4	64.4	100	100	99.2795
-64.5	64.5	100	100	99.2963
-64.6	64.6	100	100	99.3131
-64.7	64.7	100	100	99.3299
-64.8	64.8	100	100	99.3467
-64.9	64.9	100	100	99.3635
-65.0	65.0	100	100	99.3803
-65.1	65.1	100	100	99.3971
-65.2	65.2	100	100	99.4139
-65.3	65.3	100	100	99.4307
-65.4	65.4	100	100	99.4475
-65.5	65.5	100	100	99.4643
-65.6	65.6	100	100	99.4812
-65.7	65.7	100	100	99.498
-65.8	65.8	100	100	99.5148
-65.9	65.9	100	100	99.5316
-66.0	66.0	100	100	99.5484
-66.1	66.1	100	100	99.5652
-66.2	66.2	100	100	99.582
-66.3	66.3	100	100	99.5988
-66.4	66.4	100	100	99.6156
-66.5	66.5	100	100	99.6324
-66.6	66.6	100	100	99.6492
-66.7	66.7	100	100	99.666
-66.8	66.8	100	100	99.6829
-66.9	66.9	100	100	99.6997
-67.0	67.0	100	100	99.7165
-67.1	67.1	100	100	99.7333
-67.2	67.2	100	100	99.7501
-67.3	67.3	100	100	99.7669
-67.4	67.4	100	100	99.7837
-67.5	67.5	100	100	99.8005
-67.6	67.6	100	100	99.8173
-67.7	67.7	100	100	99.8341
-67.8	67.8	100	100	99.8509
-67.9	67.9	100	100	99.8677
-68.0	68.0	100	100	99.8846
-68.1	68.1	100	100	99.9014
-68.2	68.2	100	100	99.9182
-68.3	68.3	100	100	99.935
-68.4	68.4	100	100	99.9518
-68.5	68.5	100	100	99.9686
-68.6	68.6	100	100	99.9854
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	51
-Learning task	Classification analysis
-Target variable	Class
-Main target value	Iris-setosa
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.980738	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.901961	0.704425	0.95993
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	13	0
-$Iris-virginica	0	0	19
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	12	4
-$Iris-virginica	0	1	15
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	12	4	0.266843
-{1}	19	0	0	0.44088
-{5, 6}	0	1	15	0.292278
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.268421
-0.2	0.2	0.536842	0.536842	0.536842
-0.3	0.3	0.805263	0.805263	0.805263
-0.4	0.4	1.07368	1.07368	1.07368
-0.5	0.5	1.34211	1.34211	1.34211
-0.6	0.6	1.61053	1.61053	1.61053
-0.7	0.7	1.87895	1.87895	1.87895
-0.8	0.8	2.14737	2.14737	2.14737
-0.9	0.9	2.41579	2.41579	2.41579
-1.0	1.0	2.68421	2.68421	2.68421
-1.1	1.1	2.95263	2.95263	2.95263
-1.2	1.2	3.22105	3.22105	3.22105
-1.3	1.3	3.48947	3.48947	3.48947
-1.4	1.4	3.75789	3.75789	3.75789
-1.5	1.5	4.02632	4.02632	4.02632
-1.6	1.6	4.29474	4.29474	4.29474
-1.7	1.7	4.56316	4.56316	4.56316
-1.8	1.8	4.83158	4.83158	4.83158
-1.9	1.9	5.1	5.1	5.1
-2.0	2.0	5.36842	5.36842	5.36842
-2.1	2.1	5.63684	5.63684	5.63684
-2.2	2.2	5.90526	5.90526	5.90526
-2.3	2.3	6.17368	6.17368	6.17368
-2.4	2.4	6.44211	6.44211	6.44211
-2.5	2.5	6.71053	6.71053	6.71053
-2.6	2.6	6.97895	6.97895	6.97895
-2.7	2.7	7.24737	7.24737	7.24737
-2.8	2.8	7.51579	7.51579	7.51579
-2.9	2.9	7.78421	7.78421	7.78421
-3.0	3.0	8.05263	8.05263	8.05263
-3.1	3.1	8.32105	8.32105	8.32105
-3.2	3.2	8.58947	8.58947	8.58947
-3.3	3.3	8.85789	8.85789	8.85789
-3.4	3.4	9.12632	9.12632	9.12632
-3.5	3.5	9.39474	9.39474	9.39474
-3.6	3.6	9.66316	9.66316	9.66316
-3.7	3.7	9.93158	9.93158	9.93158
-3.8	3.8	10.2	10.2	10.2
-3.9	3.9	10.4684	10.4684	10.4684
-4.0	4.0	10.7368	10.7368	10.7368
-4.1	4.1	11.0053	11.0053	11.0053
-4.2	4.2	11.2737	11.2737	11.2737
-4.3	4.3	11.5421	11.5421	11.5421
-4.4	4.4	11.8105	11.8105	11.8105
-4.5	4.5	12.0789	12.0789	12.0789
-4.6	4.6	12.3474	12.3474	12.3474
-4.7	4.7	12.6158	12.6158	12.6158
-4.8	4.8	12.8842	12.8842	12.8842
-4.9	4.9	13.1526	13.1526	13.1526
-5.0	5.0	13.4211	13.4211	13.4211
-5.1	5.1	13.6895	13.6895	13.6895
-5.2	5.2	13.9579	13.9579	13.9579
-5.3	5.3	14.2263	14.2263	14.2263
-5.4	5.4	14.4947	14.4947	14.4947
-5.5	5.5	14.7632	14.7632	14.7632
-5.6	5.6	15.0316	15.0316	15.0316
-5.7	5.7	15.3	15.3	15.3
-5.8	5.8	15.5684	15.5684	15.5684
-5.9	5.9	15.8368	15.8368	15.8368
-6.0	6.0	16.1053	16.1053	16.1053
-6.1	6.1	16.3737	16.3737	16.3737
-6.2	6.2	16.6421	16.6421	16.6421
-6.3	6.3	16.9105	16.9105	16.9105
-6.4	6.4	17.1789	17.1789	17.1789
-6.5	6.5	17.4474	17.4474	17.4474
-6.6	6.6	17.7158	17.7158	17.7158
-6.7	6.7	17.9842	17.9842	17.9842
-6.8	6.8	18.2526	18.2526	18.2526
-6.9	6.9	18.5211	18.5211	18.5211
-7.0	7.0	18.7895	18.7895	18.7895
-7.1	7.1	19.0579	19.0579	19.0579
-7.2	7.2	19.3263	19.3263	19.3263
-7.3	7.3	19.5947	19.5947	19.5947
-7.4	7.4	19.8632	19.8632	19.8632
-7.5	7.5	20.1316	20.1316	20.1316
-7.6	7.6	20.4	20.4	20.4
-7.7	7.7	20.6684	20.6684	20.6684
-7.8	7.8	20.9368	20.9368	20.9368
-7.9	7.9	21.2053	21.2053	21.2053
-8.0	8.0	21.4737	21.4737	21.4737
-8.1	8.1	21.7421	21.7421	21.7421
-8.2	8.2	22.0105	22.0105	22.0105
-8.3	8.3	22.2789	22.2789	22.2789
-8.4	8.4	22.5474	22.5474	22.5474
-8.5	8.5	22.8158	22.8158	22.8158
-8.6	8.6	23.0842	23.0842	23.0842
-8.7	8.7	23.3526	23.3526	23.3526
-8.8	8.8	23.6211	23.6211	23.6211
-8.9	8.9	23.8895	23.8895	23.8895
-9.0	9.0	24.1579	24.1579	24.1579
-9.1	9.1	24.4263	24.4263	24.4263
-9.2	9.2	24.6947	24.6947	24.6947
-9.3	9.3	24.9632	24.9632	24.9632
-9.4	9.4	25.2316	25.2316	25.2316
-9.5	9.5	25.5	25.5	25.5
-9.6	9.6	25.7684	25.7684	25.7684
-9.7	9.7	26.0368	26.0368	26.0368
-9.8	9.8	26.3053	26.3053	26.3053
-9.9	9.9	26.5737	26.5737	26.5737
-10.0	10.0	26.8421	26.8421	26.8421
-10.1	10.1	27.1105	27.1105	27.1105
-10.2	10.2	27.3789	27.3789	27.3789
-10.3	10.3	27.6474	27.6474	27.6474
-10.4	10.4	27.9158	27.9158	27.9158
-10.5	10.5	28.1842	28.1842	28.1842
-10.6	10.6	28.4526	28.4526	28.4526
-10.7	10.7	28.7211	28.7211	28.7211
-10.8	10.8	28.9895	28.9895	28.9895
-10.9	10.9	29.2579	29.2579	29.2579
-11.0	11.0	29.5263	29.5263	29.5263
-11.1	11.1	29.7947	29.7947	29.7947
-11.2	11.2	30.0632	30.0632	30.0632
-11.3	11.3	30.3316	30.3316	30.3316
-11.4	11.4	30.6	30.6	30.6
-11.5	11.5	30.8684	30.8684	30.8684
-11.6	11.6	31.1368	31.1368	31.1368
-11.7	11.7	31.4053	31.4053	31.4053
-11.8	11.8	31.6737	31.6737	31.6737
-11.9	11.9	31.9421	31.9421	31.9421
-12.0	12.0	32.2105	32.2105	32.2105
-12.1	12.1	32.4789	32.4789	32.4789
-12.2	12.2	32.7474	32.7474	32.7474
-12.3	12.3	33.0158	33.0158	33.0158
-12.4	12.4	33.2842	33.2842	33.2842
-12.5	12.5	33.5526	33.5526	33.5526
-12.6	12.6	33.8211	33.8211	33.8211
-12.7	12.7	34.0895	34.0895	34.0895
-12.8	12.8	34.3579	34.3579	34.3579
-12.9	12.9	34.6263	34.6263	34.6263
-13.0	13.0	34.8947	34.8947	34.8947
-13.1	13.1	35.1632	35.1632	35.1632
-13.2	13.2	35.4316	35.4316	35.4316
-13.3	13.3	35.7	35.7	35.7
-13.4	13.4	35.9684	35.9684	35.9684
-13.5	13.5	36.2368	36.2368	36.2368
-13.6	13.6	36.5053	36.5053	36.5053
-13.7	13.7	36.7737	36.7737	36.7737
-13.8	13.8	37.0421	37.0421	37.0421
-13.9	13.9	37.3105	37.3105	37.3105
-14.0	14.0	37.5789	37.5789	37.5789
-14.1	14.1	37.8474	37.8474	37.8474
-14.2	14.2	38.1158	38.1158	38.1158
-14.3	14.3	38.3842	38.3842	38.3842
-14.4	14.4	38.6526	38.6526	38.6526
-14.5	14.5	38.9211	38.9211	38.9211
-14.6	14.6	39.1895	39.1895	39.1895
-14.7	14.7	39.4579	39.4579	39.4579
-14.8	14.8	39.7263	39.7263	39.7263
-14.9	14.9	39.9947	39.9947	39.9947
-15.0	15.0	40.2632	40.2632	40.2632
-15.1	15.1	40.5316	40.5316	40.5316
-15.2	15.2	40.8	40.8	40.8
-15.3	15.3	41.0684	41.0684	41.0684
-15.4	15.4	41.3368	41.3368	41.3368
-15.5	15.5	41.6053	41.6053	41.6053
-15.6	15.6	41.8737	41.8737	41.8737
-15.7	15.7	42.1421	42.1421	42.1421
-15.8	15.8	42.4105	42.4105	42.4105
-15.9	15.9	42.6789	42.6789	42.6789
-16.0	16.0	42.9474	42.9474	42.9474
-16.1	16.1	43.2158	43.2158	43.2158
-16.2	16.2	43.4842	43.4842	43.4842
-16.3	16.3	43.7526	43.7526	43.7526
-16.4	16.4	44.0211	44.0211	44.0211
-16.5	16.5	44.2895	44.2895	44.2895
-16.6	16.6	44.5579	44.5579	44.5579
-16.7	16.7	44.8263	44.8263	44.8263
-16.8	16.8	45.0947	45.0947	45.0947
-16.9	16.9	45.3632	45.3632	45.3632
-17.0	17.0	45.6316	45.6316	45.6316
-17.1	17.1	45.9	45.9	45.9
-17.2	17.2	46.1684	46.1684	46.1684
-17.3	17.3	46.4368	46.4368	46.4368
-17.4	17.4	46.7053	46.7053	46.7053
-17.5	17.5	46.9737	46.9737	46.9737
-17.6	17.6	47.2421	47.2421	47.2421
-17.7	17.7	47.5105	47.5105	47.5105
-17.8	17.8	47.7789	47.7789	47.7789
-17.9	17.9	48.0474	48.0474	48.0474
-18.0	18.0	48.3158	48.3158	48.3158
-18.1	18.1	48.5842	48.5842	48.5842
-18.2	18.2	48.8526	48.8526	48.8526
-18.3	18.3	49.1211	49.1211	49.1211
-18.4	18.4	49.3895	49.3895	49.3895
-18.5	18.5	49.6579	49.6579	49.6579
-18.6	18.6	49.9263	49.9263	49.9263
-18.7	18.7	50.1947	50.1947	50.1947
-18.8	18.8	50.4632	50.4632	50.4632
-18.9	18.9	50.7316	50.7316	50.7316
-19.0	19.0	51	51	51
-19.1	19.1	51.2684	51.2684	51.2684
-19.2	19.2	51.5368	51.5368	51.5368
-19.3	19.3	51.8053	51.8053	51.8053
-19.4	19.4	52.0737	52.0737	52.0737
-19.5	19.5	52.3421	52.3421	52.3421
-19.6	19.6	52.6105	52.6105	52.6105
-19.7	19.7	52.8789	52.8789	52.8789
-19.8	19.8	53.1474	53.1474	53.1474
-19.9	19.9	53.4158	53.4158	53.4158
-20.0	20.0	53.6842	53.6842	53.6842
-20.1	20.1	53.9526	53.9526	53.9526
-20.2	20.2	54.2211	54.2211	54.2211
-20.3	20.3	54.4895	54.4895	54.4895
-20.4	20.4	54.7579	54.7579	54.7579
-20.5	20.5	55.0263	55.0263	55.0263
-20.6	20.6	55.2947	55.2947	55.2947
-20.7	20.7	55.5632	55.5632	55.5632
-20.8	20.8	55.8316	55.8316	55.8316
-20.9	20.9	56.1	56.1	56.1
-21.0	21.0	56.3684	56.3684	56.3684
-21.1	21.1	56.6368	56.6368	56.6368
-21.2	21.2	56.9053	56.9053	56.9053
-21.3	21.3	57.1737	57.1737	57.1737
-21.4	21.4	57.4421	57.4421	57.4421
-21.5	21.5	57.7105	57.7105	57.7105
-21.6	21.6	57.9789	57.9789	57.9789
-21.7	21.7	58.2474	58.2474	58.2474
-21.8	21.8	58.5158	58.5158	58.5158
-21.9	21.9	58.7842	58.7842	58.7842
-22.0	22.0	59.0526	59.0526	59.0526
-22.1	22.1	59.3211	59.3211	59.3211
-22.2	22.2	59.5895	59.5895	59.5895
-22.3	22.3	59.8579	59.8579	59.8579
-22.4	22.4	60.1263	60.1263	60.1263
-22.5	22.5	60.3947	60.3947	60.3947
-22.6	22.6	60.6632	60.6632	60.6632
-22.7	22.7	60.9316	60.9316	60.9316
-22.8	22.8	61.2	61.2	61.2
-22.9	22.9	61.4684	61.4684	61.4684
-23.0	23.0	61.7368	61.7368	61.7368
-23.1	23.1	62.0053	62.0053	62.0053
-23.2	23.2	62.2737	62.2737	62.2737
-23.3	23.3	62.5421	62.5421	62.5421
-23.4	23.4	62.8105	62.8105	62.8105
-23.5	23.5	63.0789	63.0789	63.0789
-23.6	23.6	63.3474	63.3474	63.3474
-23.7	23.7	63.6158	63.6158	63.6158
-23.8	23.8	63.8842	63.8842	63.8842
-23.9	23.9	64.1526	64.1526	64.1526
-24.0	24.0	64.4211	64.4211	64.4211
-24.1	24.1	64.6895	64.6895	64.6895
-24.2	24.2	64.9579	64.9579	64.9579
-24.3	24.3	65.2263	65.2263	65.2263
-24.4	24.4	65.4947	65.4947	65.4947
-24.5	24.5	65.7632	65.7632	65.7632
-24.6	24.6	66.0316	66.0316	66.0316
-24.7	24.7	66.3	66.3	66.3
-24.8	24.8	66.5684	66.5684	66.5684
-24.9	24.9	66.8368	66.8368	66.8368
-25.0	25.0	67.1053	67.1053	67.1053
-25.1	25.1	67.3737	67.3737	67.3737
-25.2	25.2	67.6421	67.6421	67.6421
-25.3	25.3	67.9105	67.9105	67.9105
-25.4	25.4	68.1789	68.1789	68.1789
-25.5	25.5	68.4474	68.4474	68.4474
-25.6	25.6	68.7158	68.7158	68.7158
-25.7	25.7	68.9842	68.9842	68.9842
-25.8	25.8	69.2526	69.2526	69.2526
-25.9	25.9	69.5211	69.5211	69.5211
-26.0	26.0	69.7895	69.7895	69.7895
-26.1	26.1	70.0579	70.0579	70.0579
-26.2	26.2	70.3263	70.3263	70.3263
-26.3	26.3	70.5947	70.5947	70.5947
-26.4	26.4	70.8632	70.8632	70.8632
-26.5	26.5	71.1316	71.1316	71.1316
-26.6	26.6	71.4	71.4	71.4
-26.7	26.7	71.6684	71.6684	71.6684
-26.8	26.8	71.9368	71.9368	71.9368
-26.9	26.9	72.2053	72.2053	72.2053
-27.0	27.0	72.4737	72.4737	72.4737
-27.1	27.1	72.7421	72.7421	72.7421
-27.2	27.2	73.0105	73.0105	73.0105
-27.3	27.3	73.2789	73.2789	73.2789
-27.4	27.4	73.5474	73.5474	73.5474
-27.5	27.5	73.8158	73.8158	73.8158
-27.6	27.6	74.0842	74.0842	74.0842
-27.7	27.7	74.3526	74.3526	74.3526
-27.8	27.8	74.6211	74.6211	74.6211
-27.9	27.9	74.8895	74.8895	74.8895
-28.0	28.0	75.1579	75.1579	75.1579
-28.1	28.1	75.4263	75.4263	75.4263
-28.2	28.2	75.6947	75.6947	75.6947
-28.3	28.3	75.9632	75.9632	75.9632
-28.4	28.4	76.2316	76.2316	76.2316
-28.5	28.5	76.5	76.5	76.5
-28.6	28.6	76.7684	76.7684	76.7684
-28.7	28.7	77.0368	77.0368	77.0368
-28.8	28.8	77.3053	77.3053	77.3053
-28.9	28.9	77.5737	77.5737	77.5737
-29.0	29.0	77.8421	77.8421	77.8421
-29.1	29.1	78.1105	78.1105	78.1105
-29.2	29.2	78.3789	78.3789	78.3789
-29.3	29.3	78.6474	78.6474	78.6474
-29.4	29.4	78.9158	78.9158	78.9158
-29.5	29.5	79.1842	79.1842	79.1842
-29.6	29.6	79.4526	79.4526	79.4526
-29.7	29.7	79.7211	79.7211	79.7211
-29.8	29.8	79.9895	79.9895	79.9895
-29.9	29.9	80.2579	80.2579	80.2579
-30.0	30.0	80.5263	80.5263	80.5263
-30.1	30.1	80.7947	80.7947	80.7947
-30.2	30.2	81.0632	81.0632	81.0632
-30.3	30.3	81.3316	81.3316	81.3316
-30.4	30.4	81.6	81.6	81.6
-30.5	30.5	81.8684	81.8684	81.8684
-30.6	30.6	82.1368	82.1368	82.1368
-30.7	30.7	82.4053	82.4053	82.4053
-30.8	30.8	82.6737	82.6737	82.6737
-30.9	30.9	82.9421	82.9421	82.9421
-31.0	31.0	83.2105	83.2105	83.2105
-31.1	31.1	83.4789	83.4789	83.4789
-31.2	31.2	83.7474	83.7474	83.7474
-31.3	31.3	84.0158	84.0158	84.0158
-31.4	31.4	84.2842	84.2842	84.2842
-31.5	31.5	84.5526	84.5526	84.5526
-31.6	31.6	84.8211	84.8211	84.8211
-31.7	31.7	85.0895	85.0895	85.0895
-31.8	31.8	85.3579	85.3579	85.3579
-31.9	31.9	85.6263	85.6263	85.6263
-32.0	32.0	85.8947	85.8947	85.8947
-32.1	32.1	86.1632	86.1632	86.1632
-32.2	32.2	86.4316	86.4316	86.4316
-32.3	32.3	86.7	86.7	86.7
-32.4	32.4	86.9684	86.9684	86.9684
-32.5	32.5	87.2368	87.2368	87.2368
-32.6	32.6	87.5053	87.5053	87.5053
-32.7	32.7	87.7737	87.7737	87.7737
-32.8	32.8	88.0421	88.0421	88.0421
-32.9	32.9	88.3105	88.3105	88.3105
-33.0	33.0	88.5789	88.5789	88.5789
-33.1	33.1	88.8474	88.8474	88.8474
-33.2	33.2	89.1158	89.1158	89.1158
-33.3	33.3	89.3842	89.3842	89.3842
-33.4	33.4	89.6526	89.6526	89.6526
-33.5	33.5	89.9211	89.9211	89.9211
-33.6	33.6	90.1895	90.1895	90.1895
-33.7	33.7	90.4579	90.4579	90.4579
-33.8	33.8	90.7263	90.7263	90.7263
-33.9	33.9	90.9947	90.9947	90.9947
-34.0	34.0	91.2632	91.2632	91.2632
-34.1	34.1	91.5316	91.5316	91.5316
-34.2	34.2	91.8	91.8	91.8
-34.3	34.3	92.0684	92.0684	92.0684
-34.4	34.4	92.3368	92.3368	92.3368
-34.5	34.5	92.6053	92.6053	92.6053
-34.6	34.6	92.8737	92.8737	92.8737
-34.7	34.7	93.1421	93.1421	93.1421
-34.8	34.8	93.4105	93.4105	93.4105
-34.9	34.9	93.6789	93.6789	93.6789
-35.0	35.0	93.9474	93.9474	93.9474
-35.1	35.1	94.2158	94.2158	94.2158
-35.2	35.2	94.4842	94.4842	94.4842
-35.3	35.3	94.7526	94.7526	94.7526
-35.4	35.4	95.0211	95.0211	95.0211
-35.5	35.5	95.2895	95.2895	95.2895
-35.6	35.6	95.5579	95.5579	95.5579
-35.7	35.7	95.8263	95.8263	95.8263
-35.8	35.8	96.0947	96.0947	96.0947
-35.9	35.9	96.3632	96.3632	96.3632
-36.0	36.0	96.6316	96.6316	96.6316
-36.1	36.1	96.9	96.9	96.9
-36.2	36.2	97.1684	97.1684	97.1684
-36.3	36.3	97.4368	97.4368	97.4368
-36.4	36.4	97.7053	97.7053	97.7053
-36.5	36.5	97.9737	97.9737	97.9737
-36.6	36.6	98.2421	98.2421	98.2421
-36.7	36.7	98.5105	98.5105	98.5105
-36.8	36.8	98.7789	98.7789	98.7789
-36.9	36.9	99.0474	99.0474	99.0474
-37.0	37.0	99.3158	99.3158	99.3158
-37.1	37.1	99.5842	99.5842	99.5842
-37.2	37.2	99.8526	99.8526	99.8526
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.392308	0.392308	0.294231
-0.2	0.2	0.784615	0.784615	0.588462
-0.3	0.3	1.17692	1.17692	0.882692
-0.4	0.4	1.56923	1.56923	1.17692
-0.5	0.5	1.96154	1.96154	1.47115
-0.6	0.6	2.35385	2.35385	1.76538
-0.7	0.7	2.74615	2.74615	2.05962
-0.8	0.8	3.13846	3.13846	2.35385
-0.9	0.9	3.53077	3.53077	2.64808
-1.0	1.0	3.92308	3.92308	2.94231
-1.1	1.1	4.31538	4.31538	3.23654
-1.2	1.2	4.70769	4.70769	3.53077
-1.3	1.3	5.1	5.1	3.825
-1.4	1.4	5.49231	5.49231	4.11923
-1.5	1.5	5.88462	5.88462	4.41346
-1.6	1.6	6.27692	6.27692	4.70769
-1.7	1.7	6.66923	6.66923	5.00192
-1.8	1.8	7.06154	7.06154	5.29615
-1.9	1.9	7.45385	7.45385	5.59038
-2.0	2.0	7.84615	7.84615	5.88462
-2.1	2.1	8.23846	8.23846	6.17885
-2.2	2.2	8.63077	8.63077	6.47308
-2.3	2.3	9.02308	9.02308	6.76731
-2.4	2.4	9.41538	9.41538	7.06154
-2.5	2.5	9.80769	9.80769	7.35577
-2.6	2.6	10.2	10.2	7.65
-2.7	2.7	10.5923	10.5923	7.94423
-2.8	2.8	10.9846	10.9846	8.23846
-2.9	2.9	11.3769	11.3769	8.53269
-3.0	3.0	11.7692	11.7692	8.82692
-3.1	3.1	12.1615	12.1615	9.12115
-3.2	3.2	12.5538	12.5538	9.41538
-3.3	3.3	12.9462	12.9462	9.70962
-3.4	3.4	13.3385	13.3385	10.0038
-3.5	3.5	13.7308	13.7308	10.2981
-3.6	3.6	14.1231	14.1231	10.5923
-3.7	3.7	14.5154	14.5154	10.8865
-3.8	3.8	14.9077	14.9077	11.1808
-3.9	3.9	15.3	15.3	11.475
-4.0	4.0	15.6923	15.6923	11.7692
-4.1	4.1	16.0846	16.0846	12.0635
-4.2	4.2	16.4769	16.4769	12.3577
-4.3	4.3	16.8692	16.8692	12.6519
-4.4	4.4	17.2615	17.2615	12.9462
-4.5	4.5	17.6538	17.6538	13.2404
-4.6	4.6	18.0462	18.0462	13.5346
-4.7	4.7	18.4385	18.4385	13.8288
-4.8	4.8	18.8308	18.8308	14.1231
-4.9	4.9	19.2231	19.2231	14.4173
-5.0	5.0	19.6154	19.6154	14.7115
-5.1	5.1	20.0077	20.0077	15.0058
-5.2	5.2	20.4	20.4	15.3
-5.3	5.3	20.7923	20.7923	15.5942
-5.4	5.4	21.1846	21.1846	15.8885
-5.5	5.5	21.5769	21.5769	16.1827
-5.6	5.6	21.9692	21.9692	16.4769
-5.7	5.7	22.3615	22.3615	16.7712
-5.8	5.8	22.7538	22.7538	17.0654
-5.9	5.9	23.1462	23.1462	17.3596
-6.0	6.0	23.5385	23.5385	17.6538
-6.1	6.1	23.9308	23.9308	17.9481
-6.2	6.2	24.3231	24.3231	18.2423
-6.3	6.3	24.7154	24.7154	18.5365
-6.4	6.4	25.1077	25.1077	18.8308
-6.5	6.5	25.5	25.5	19.125
-6.6	6.6	25.8923	25.8923	19.4192
-6.7	6.7	26.2846	26.2846	19.7135
-6.8	6.8	26.6769	26.6769	20.0077
-6.9	6.9	27.0692	27.0692	20.3019
-7.0	7.0	27.4615	27.4615	20.5962
-7.1	7.1	27.8538	27.8538	20.8904
-7.2	7.2	28.2462	28.2462	21.1846
-7.3	7.3	28.6385	28.6385	21.4788
-7.4	7.4	29.0308	29.0308	21.7731
-7.5	7.5	29.4231	29.4231	22.0673
-7.6	7.6	29.8154	29.8154	22.3615
-7.7	7.7	30.2077	30.2077	22.6558
-7.8	7.8	30.6	30.6	22.95
-7.9	7.9	30.9923	30.9923	23.2442
-8.0	8.0	31.3846	31.3846	23.5385
-8.1	8.1	31.7769	31.7769	23.8327
-8.2	8.2	32.1692	32.1692	24.1269
-8.3	8.3	32.5615	32.5615	24.4212
-8.4	8.4	32.9538	32.9538	24.7154
-8.5	8.5	33.3462	33.3462	25.0096
-8.6	8.6	33.7385	33.7385	25.3038
-8.7	8.7	34.1308	34.1308	25.5981
-8.8	8.8	34.5231	34.5231	25.8923
-8.9	8.9	34.9154	34.9154	26.1865
-9.0	9.0	35.3077	35.3077	26.4808
-9.1	9.1	35.7	35.7	26.775
-9.2	9.2	36.0923	36.0923	27.0692
-9.3	9.3	36.4846	36.4846	27.3635
-9.4	9.4	36.8769	36.8769	27.6577
-9.5	9.5	37.2692	37.2692	27.9519
-9.6	9.6	37.6615	37.6615	28.2462
-9.7	9.7	38.0538	38.0538	28.5404
-9.8	9.8	38.4462	38.4462	28.8346
-9.9	9.9	38.8385	38.8385	29.1288
-10.0	10.0	39.2308	39.2308	29.4231
-10.1	10.1	39.6231	39.6231	29.7173
-10.2	10.2	40.0154	40.0154	30.0115
-10.3	10.3	40.4077	40.4077	30.3058
-10.4	10.4	40.8	40.8	30.6
-10.5	10.5	41.1923	41.1923	30.8942
-10.6	10.6	41.5846	41.5846	31.1885
-10.7	10.7	41.9769	41.9769	31.4827
-10.8	10.8	42.3692	42.3692	31.7769
-10.9	10.9	42.7615	42.7615	32.0712
-11.0	11.0	43.1538	43.1538	32.3654
-11.1	11.1	43.5462	43.5462	32.6596
-11.2	11.2	43.9385	43.9385	32.9538
-11.3	11.3	44.3308	44.3308	33.2481
-11.4	11.4	44.7231	44.7231	33.5423
-11.5	11.5	45.1154	45.1154	33.8365
-11.6	11.6	45.5077	45.5077	34.1308
-11.7	11.7	45.9	45.9	34.425
-11.8	11.8	46.2923	46.2923	34.7192
-11.9	11.9	46.6846	46.6846	35.0135
-12.0	12.0	47.0769	47.0769	35.3077
-12.1	12.1	47.4692	47.4692	35.6019
-12.2	12.2	47.8615	47.8615	35.8962
-12.3	12.3	48.2538	48.2538	36.1904
-12.4	12.4	48.6462	48.6462	36.4846
-12.5	12.5	49.0385	49.0385	36.7788
-12.6	12.6	49.4308	49.4308	37.0731
-12.7	12.7	49.8231	49.8231	37.3673
-12.8	12.8	50.2154	50.2154	37.6615
-12.9	12.9	50.6077	50.6077	37.9558
-13.0	13.0	51	51	38.25
-13.1	13.1	51.3923	51.3923	38.5442
-13.2	13.2	51.7846	51.7846	38.8385
-13.3	13.3	52.1769	52.1769	39.1327
-13.4	13.4	52.5692	52.5692	39.4269
-13.5	13.5	52.9615	52.9615	39.7212
-13.6	13.6	53.3538	53.3538	40.0154
-13.7	13.7	53.7462	53.7462	40.3096
-13.8	13.8	54.1385	54.1385	40.6038
-13.9	13.9	54.5308	54.5308	40.8981
-14.0	14.0	54.9231	54.9231	41.1923
-14.1	14.1	55.3154	55.3154	41.4865
-14.2	14.2	55.7077	55.7077	41.7808
-14.3	14.3	56.1	56.1	42.075
-14.4	14.4	56.4923	56.4923	42.3692
-14.5	14.5	56.8846	56.8846	42.6635
-14.6	14.6	57.2769	57.2769	42.9577
-14.7	14.7	57.6692	57.6692	43.2519
-14.8	14.8	58.0615	58.0615	43.5462
-14.9	14.9	58.4538	58.4538	43.8404
-15.0	15.0	58.8462	58.8462	44.1346
-15.1	15.1	59.2385	59.2385	44.4288
-15.2	15.2	59.6308	59.6308	44.7231
-15.3	15.3	60.0231	60.0231	45.0173
-15.4	15.4	60.4154	60.4154	45.3115
-15.5	15.5	60.8077	60.8077	45.6058
-15.6	15.6	61.2	61.2	45.9
-15.7	15.7	61.5923	61.5923	46.1942
-15.8	15.8	61.9846	61.9846	46.4885
-15.9	15.9	62.3769	62.3769	46.7827
-16.0	16.0	62.7692	62.7692	47.0769
-16.1	16.1	63.1615	63.1615	47.3712
-16.2	16.2	63.5538	63.5538	47.6654
-16.3	16.3	63.9462	63.9462	47.9596
-16.4	16.4	64.3385	64.3385	48.2538
-16.5	16.5	64.7308	64.7308	48.5481
-16.6	16.6	65.1231	65.1231	48.8423
-16.7	16.7	65.5154	65.5154	49.1365
-16.8	16.8	65.9077	65.9077	49.4308
-16.9	16.9	66.3	66.3	49.725
-17.0	17.0	66.6923	66.6923	50.0192
-17.1	17.1	67.0846	67.0846	50.3135
-17.2	17.2	67.4769	67.4769	50.6077
-17.3	17.3	67.8692	67.8692	50.9019
-17.4	17.4	68.2615	68.2615	51.1962
-17.5	17.5	68.6538	68.6538	51.4904
-17.6	17.6	69.0462	69.0462	51.7846
-17.7	17.7	69.4385	69.4385	52.0788
-17.8	17.8	69.8308	69.8308	52.3731
-17.9	17.9	70.2231	70.2231	52.6673
-18.0	18.0	70.6154	70.6154	52.9615
-18.1	18.1	71.0077	71.0077	53.2558
-18.2	18.2	71.4	71.4	53.55
-18.3	18.3	71.7923	71.7923	53.8442
-18.4	18.4	72.1846	72.1846	54.1385
-18.5	18.5	72.5769	72.5769	54.4327
-18.6	18.6	72.9692	72.9692	54.7269
-18.7	18.7	73.3615	73.3615	55.0212
-18.8	18.8	73.7538	73.7538	55.3154
-18.9	18.9	74.1462	74.1462	55.6096
-19.0	19.0	74.5385	74.5385	55.9038
-19.1	19.1	74.9308	74.9308	56.1981
-19.2	19.2	75.3231	75.3231	56.4923
-19.3	19.3	75.7154	75.7154	56.7865
-19.4	19.4	76.1077	76.1077	57.0808
-19.5	19.5	76.5	76.5	57.375
-19.6	19.6	76.8923	76.8923	57.6692
-19.7	19.7	77.2846	77.2846	57.9635
-19.8	19.8	77.6769	77.6769	58.2577
-19.9	19.9	78.0692	78.0692	58.5519
-20.0	20.0	78.4615	78.4615	58.8462
-20.1	20.1	78.8538	78.8538	59.1404
-20.2	20.2	79.2462	79.2462	59.4346
-20.3	20.3	79.6385	79.6385	59.7288
-20.4	20.4	80.0308	80.0308	60.0231
-20.5	20.5	80.4231	80.4231	60.3173
-20.6	20.6	80.8154	80.8154	60.6115
-20.7	20.7	81.2077	81.2077	60.9058
-20.8	20.8	81.6	81.6	61.2
-20.9	20.9	81.9923	81.9923	61.4942
-21.0	21.0	82.3846	82.3846	61.7885
-21.1	21.1	82.7769	82.7769	62.0827
-21.2	21.2	83.1692	83.1692	62.3769
-21.3	21.3	83.5615	83.5615	62.6712
-21.4	21.4	83.9538	83.9538	62.9654
-21.5	21.5	84.3462	84.3462	63.2596
-21.6	21.6	84.7385	84.7385	63.5538
-21.7	21.7	85.1308	85.1308	63.8481
-21.8	21.8	85.5231	85.5231	64.1423
-21.9	21.9	85.9154	85.9154	64.4365
-22.0	22.0	86.3077	86.3077	64.7308
-22.1	22.1	86.7	86.7	65.025
-22.2	22.2	87.0923	87.0923	65.3192
-22.3	22.3	87.4846	87.4846	65.6135
-22.4	22.4	87.8769	87.8769	65.9077
-22.5	22.5	88.2692	88.2692	66.2019
-22.6	22.6	88.6615	88.6615	66.4962
-22.7	22.7	89.0538	89.0538	66.7904
-22.8	22.8	89.4462	89.4462	67.0846
-22.9	22.9	89.8385	89.8385	67.3788
-23.0	23.0	90.2308	90.2308	67.6731
-23.1	23.1	90.6231	90.6231	67.9673
-23.2	23.2	91.0154	91.0154	68.2615
-23.3	23.3	91.4077	91.4077	68.5558
-23.4	23.4	91.8	91.8	68.85
-23.5	23.5	92.1923	92.1923	69.1442
-23.6	23.6	92.5846	92.5846	69.4385
-23.7	23.7	92.9769	92.9769	69.7327
-23.8	23.8	93.3692	93.3692	70.0269
-23.9	23.9	93.7615	93.7615	70.3212
-24.0	24.0	94.1538	94.1538	70.6154
-24.1	24.1	94.5462	94.5462	70.9096
-24.2	24.2	94.9385	94.9385	71.2038
-24.3	24.3	95.3308	95.3308	71.4981
-24.4	24.4	95.7231	95.7231	71.7923
-24.5	24.5	96.1154	96.1154	72.0865
-24.6	24.6	96.5077	96.5077	72.3808
-24.7	24.7	96.9	96.9	72.675
-24.8	24.8	97.2923	97.2923	72.9692
-24.9	24.9	97.6846	97.6846	73.2635
-25.0	25.0	98.0769	98.0769	73.5577
-25.1	25.1	98.4692	98.4692	73.8519
-25.2	25.2	98.8615	98.8615	74.1462
-25.3	25.3	99.2538	99.2538	74.4404
-25.4	25.4	99.6462	99.6462	74.7346
-25.5	25.5	100	100	75.0288
-25.6	25.6	100	100	75.3231
-25.7	25.7	100	100	75.6173
-25.8	25.8	100	100	75.9115
-25.9	25.9	100	100	76.2058
-26.0	26.0	100	100	76.5
-26.1	26.1	100	100	76.7942
-26.2	26.2	100	100	77.0885
-26.3	26.3	100	100	77.3827
-26.4	26.4	100	100	77.6769
-26.5	26.5	100	100	77.9712
-26.6	26.6	100	100	78.2654
-26.7	26.7	100	100	78.5596
-26.8	26.8	100	100	78.8538
-26.9	26.9	100	100	79.1481
-27.0	27.0	100	100	79.4423
-27.1	27.1	100	100	79.7365
-27.2	27.2	100	100	80.0308
-27.3	27.3	100	100	80.325
-27.4	27.4	100	100	80.6192
-27.5	27.5	100	100	80.9135
-27.6	27.6	100	100	81.2077
-27.7	27.7	100	100	81.5019
-27.8	27.8	100	100	81.7962
-27.9	27.9	100	100	82.0904
-28.0	28.0	100	100	82.3846
-28.1	28.1	100	100	82.6788
-28.2	28.2	100	100	82.9731
-28.3	28.3	100	100	83.2673
-28.4	28.4	100	100	83.5615
-28.5	28.5	100	100	83.8558
-28.6	28.6	100	100	84.15
-28.7	28.7	100	100	84.4442
-28.8	28.8	100	100	84.7385
-28.9	28.9	100	100	85.0327
-29.0	29.0	100	100	85.3269
-29.1	29.1	100	100	85.6212
-29.2	29.2	100	100	85.9154
-29.3	29.3	100	100	86.2096
-29.4	29.4	100	100	86.5038
-29.5	29.5	100	100	86.7981
-29.6	29.6	100	100	87.0923
-29.7	29.7	100	100	87.3865
-29.8	29.8	100	100	87.6808
-29.9	29.9	100	100	87.975
-30.0	30.0	100	100	88.2692
-30.1	30.1	100	100	88.5635
-30.2	30.2	100	100	88.8577
-30.3	30.3	100	100	89.1519
-30.4	30.4	100	100	89.4462
-30.5	30.5	100	100	89.7404
-30.6	30.6	100	100	90.0346
-30.7	30.7	100	100	90.3288
-30.8	30.8	100	100	90.6231
-30.9	30.9	100	100	90.9173
-31.0	31.0	100	100	91.2115
-31.1	31.1	100	100	91.5058
-31.2	31.2	100	100	91.8
-31.3	31.3	100	100	92.0942
-31.4	31.4	100	100	92.3144
-31.5	31.5	100	100	92.3389
-31.6	31.6	100	100	92.3635
-31.7	31.7	100	100	92.388
-31.8	31.8	100	100	92.4125
-31.9	31.9	100	100	92.437
-32.0	32.0	100	100	92.4615
-32.1	32.1	100	100	92.4861
-32.2	32.2	100	100	92.5106
-32.3	32.3	100	100	92.5351
-32.4	32.4	100	100	92.5596
-32.5	32.5	100	100	92.5841
-32.6	32.6	100	100	92.6087
-32.7	32.7	100	100	92.6332
-32.8	32.8	100	100	92.6577
-32.9	32.9	100	100	92.6822
-33.0	33.0	100	100	92.7067
-33.1	33.1	100	100	92.7313
-33.2	33.2	100	100	92.7558
-33.3	33.3	100	100	92.7803
-33.4	33.4	100	100	92.8048
-33.5	33.5	100	100	92.8293
-33.6	33.6	100	100	92.8538
-33.7	33.7	100	100	92.8784
-33.8	33.8	100	100	92.9029
-33.9	33.9	100	100	92.9274
-34.0	34.0	100	100	92.9519
-34.1	34.1	100	100	92.9764
-34.2	34.2	100	100	93.001
-34.3	34.3	100	100	93.0255
-34.4	34.4	100	100	93.05
-34.5	34.5	100	100	93.0745
-34.6	34.6	100	100	93.099
-34.7	34.7	100	100	93.1236
-34.8	34.8	100	100	93.1481
-34.9	34.9	100	100	93.1726
-35.0	35.0	100	100	93.1971
-35.1	35.1	100	100	93.2216
-35.2	35.2	100	100	93.2462
-35.3	35.3	100	100	93.2707
-35.4	35.4	100	100	93.2952
-35.5	35.5	100	100	93.3197
-35.6	35.6	100	100	93.3442
-35.7	35.7	100	100	93.3688
-35.8	35.8	100	100	93.3933
-35.9	35.9	100	100	93.4178
-36.0	36.0	100	100	93.4423
-36.1	36.1	100	100	93.4668
-36.2	36.2	100	100	93.4913
-36.3	36.3	100	100	93.5159
-36.4	36.4	100	100	93.5404
-36.5	36.5	100	100	93.5649
-36.6	36.6	100	100	93.5894
-36.7	36.7	100	100	93.6139
-36.8	36.8	100	100	93.6385
-36.9	36.9	100	100	93.663
-37.0	37.0	100	100	93.6875
-37.1	37.1	100	100	93.712
-37.2	37.2	100	100	93.7365
-37.3	37.3	100	100	93.7611
-37.4	37.4	100	100	93.7856
-37.5	37.5	100	100	93.8101
-37.6	37.6	100	100	93.8346
-37.7	37.7	100	100	93.8591
-37.8	37.8	100	100	93.8837
-37.9	37.9	100	100	93.9082
-38.0	38.0	100	100	93.9327
-38.1	38.1	100	100	93.9572
-38.2	38.2	100	100	93.9817
-38.3	38.3	100	100	94.0063
-38.4	38.4	100	100	94.0308
-38.5	38.5	100	100	94.0553
-38.6	38.6	100	100	94.0798
-38.7	38.7	100	100	94.1043
-38.8	38.8	100	100	94.1288
-38.9	38.9	100	100	94.1534
-39.0	39.0	100	100	94.1779
-39.1	39.1	100	100	94.2024
-39.2	39.2	100	100	94.2269
-39.3	39.3	100	100	94.2514
-39.4	39.4	100	100	94.276
-39.5	39.5	100	100	94.3005
-39.6	39.6	100	100	94.325
-39.7	39.7	100	100	94.3495
-39.8	39.8	100	100	94.374
-39.9	39.9	100	100	94.3986
-40.0	40.0	100	100	94.4231
-40.1	40.1	100	100	94.4476
-40.2	40.2	100	100	94.4721
-40.3	40.3	100	100	94.4966
-40.4	40.4	100	100	94.5212
-40.5	40.5	100	100	94.5457
-40.6	40.6	100	100	94.5702
-40.7	40.7	100	100	94.5947
-40.8	40.8	100	100	94.6192
-40.9	40.9	100	100	94.6438
-41.0	41.0	100	100	94.6683
-41.1	41.1	100	100	94.6928
-41.2	41.2	100	100	94.7173
-41.3	41.3	100	100	94.7418
-41.4	41.4	100	100	94.7663
-41.5	41.5	100	100	94.7909
-41.6	41.6	100	100	94.8154
-41.7	41.7	100	100	94.8399
-41.8	41.8	100	100	94.8644
-41.9	41.9	100	100	94.8889
-42.0	42.0	100	100	94.9135
-42.1	42.1	100	100	94.938
-42.2	42.2	100	100	94.9625
-42.3	42.3	100	100	94.987
-42.4	42.4	100	100	95.0115
-42.5	42.5	100	100	95.0361
-42.6	42.6	100	100	95.0606
-42.7	42.7	100	100	95.0851
-42.8	42.8	100	100	95.1096
-42.9	42.9	100	100	95.1341
-43.0	43.0	100	100	95.1587
-43.1	43.1	100	100	95.1832
-43.2	43.2	100	100	95.2077
-43.3	43.3	100	100	95.2322
-43.4	43.4	100	100	95.2567
-43.5	43.5	100	100	95.2812
-43.6	43.6	100	100	95.3058
-43.7	43.7	100	100	95.3303
-43.8	43.8	100	100	95.3548
-43.9	43.9	100	100	95.3793
-44.0	44.0	100	100	95.4038
-44.1	44.1	100	100	95.4284
-44.2	44.2	100	100	95.4529
-44.3	44.3	100	100	95.4774
-44.4	44.4	100	100	95.5019
-44.5	44.5	100	100	95.5264
-44.6	44.6	100	100	95.551
-44.7	44.7	100	100	95.5755
-44.8	44.8	100	100	95.6
-44.9	44.9	100	100	95.6245
-45.0	45.0	100	100	95.649
-45.1	45.1	100	100	95.6736
-45.2	45.2	100	100	95.6981
-45.3	45.3	100	100	95.7226
-45.4	45.4	100	100	95.7471
-45.5	45.5	100	100	95.7716
-45.6	45.6	100	100	95.7962
-45.7	45.7	100	100	95.8207
-45.8	45.8	100	100	95.8452
-45.9	45.9	100	100	95.8697
-46.0	46.0	100	100	95.8942
-46.1	46.1	100	100	95.9188
-46.2	46.2	100	100	95.9433
-46.3	46.3	100	100	95.9678
-46.4	46.4	100	100	95.9923
-46.5	46.5	100	100	96.0168
-46.6	46.6	100	100	96.0413
-46.7	46.7	100	100	96.0659
-46.8	46.8	100	100	96.0904
-46.9	46.9	100	100	96.1149
-47.0	47.0	100	100	96.1394
-47.1	47.1	100	100	96.1639
-47.2	47.2	100	100	96.1885
-47.3	47.3	100	100	96.213
-47.4	47.4	100	100	96.2375
-47.5	47.5	100	100	96.262
-47.6	47.6	100	100	96.2865
-47.7	47.7	100	100	96.3111
-47.8	47.8	100	100	96.3356
-47.9	47.9	100	100	96.3601
-48.0	48.0	100	100	96.3846
-48.1	48.1	100	100	96.4091
-48.2	48.2	100	100	96.4337
-48.3	48.3	100	100	96.4582
-48.4	48.4	100	100	96.4827
-48.5	48.5	100	100	96.5072
-48.6	48.6	100	100	96.5317
-48.7	48.7	100	100	96.5563
-48.8	48.8	100	100	96.5808
-48.9	48.9	100	100	96.6053
-49.0	49.0	100	100	96.6298
-49.1	49.1	100	100	96.6543
-49.2	49.2	100	100	96.6788
-49.3	49.3	100	100	96.7034
-49.4	49.4	100	100	96.7279
-49.5	49.5	100	100	96.7524
-49.6	49.6	100	100	96.7769
-49.7	49.7	100	100	96.8014
-49.8	49.8	100	100	96.826
-49.9	49.9	100	100	96.8505
-50.0	50.0	100	100	96.875
-50.1	50.1	100	100	96.8995
-50.2	50.2	100	100	96.924
-50.3	50.3	100	100	96.9486
-50.4	50.4	100	100	96.9731
-50.5	50.5	100	100	96.9976
-50.6	50.6	100	100	97.0221
-50.7	50.7	100	100	97.0466
-50.8	50.8	100	100	97.0712
-50.9	50.9	100	100	97.0957
-51.0	51.0	100	100	97.1202
-51.1	51.1	100	100	97.1447
-51.2	51.2	100	100	97.1692
-51.3	51.3	100	100	97.1937
-51.4	51.4	100	100	97.2183
-51.5	51.5	100	100	97.2428
-51.6	51.6	100	100	97.2673
-51.7	51.7	100	100	97.2918
-51.8	51.8	100	100	97.3163
-51.9	51.9	100	100	97.3409
-52.0	52.0	100	100	97.3654
-52.1	52.1	100	100	97.3899
-52.2	52.2	100	100	97.4144
-52.3	52.3	100	100	97.4389
-52.4	52.4	100	100	97.4635
-52.5	52.5	100	100	97.488
-52.6	52.6	100	100	97.5125
-52.7	52.7	100	100	97.537
-52.8	52.8	100	100	97.5615
-52.9	52.9	100	100	97.5861
-53.0	53.0	100	100	97.6106
-53.1	53.1	100	100	97.6351
-53.2	53.2	100	100	97.6596
-53.3	53.3	100	100	97.6841
-53.4	53.4	100	100	97.7087
-53.5	53.5	100	100	97.7332
-53.6	53.6	100	100	97.7577
-53.7	53.7	100	100	97.7822
-53.8	53.8	100	100	97.8067
-53.9	53.9	100	100	97.8312
-54.0	54.0	100	100	97.8558
-54.1	54.1	100	100	97.8803
-54.2	54.2	100	100	97.9048
-54.3	54.3	100	100	97.9293
-54.4	54.4	100	100	97.9538
-54.5	54.5	100	100	97.9784
-54.6	54.6	100	100	98.0029
-54.7	54.7	100	100	98.0274
-54.8	54.8	100	100	98.0519
-54.9	54.9	100	100	98.0764
-55.0	55.0	100	100	98.101
-55.1	55.1	100	100	98.1255
-55.2	55.2	100	100	98.15
-55.3	55.3	100	100	98.1745
-55.4	55.4	100	100	98.199
-55.5	55.5	100	100	98.2236
-55.6	55.6	100	100	98.2481
-55.7	55.7	100	100	98.2726
-55.8	55.8	100	100	98.2971
-55.9	55.9	100	100	98.3216
-56.0	56.0	100	100	98.3462
-56.1	56.1	100	100	98.3707
-56.2	56.2	100	100	98.3952
-56.3	56.3	100	100	98.4197
-56.4	56.4	100	100	98.4442
-56.5	56.5	100	100	98.4688
-56.6	56.6	100	100	98.4933
-56.7	56.7	100	100	98.5178
-56.8	56.8	100	100	98.5423
-56.9	56.9	100	100	98.5668
-57.0	57.0	100	100	98.5913
-57.1	57.1	100	100	98.6159
-57.2	57.2	100	100	98.6404
-57.3	57.3	100	100	98.6649
-57.4	57.4	100	100	98.6894
-57.5	57.5	100	100	98.7139
-57.6	57.6	100	100	98.7385
-57.7	57.7	100	100	98.763
-57.8	57.8	100	100	98.7875
-57.9	57.9	100	100	98.812
-58.0	58.0	100	100	98.8365
-58.1	58.1	100	100	98.8611
-58.2	58.2	100	100	98.8856
-58.3	58.3	100	100	98.9101
-58.4	58.4	100	100	98.9346
-58.5	58.5	100	100	98.9591
-58.6	58.6	100	100	98.9837
-58.7	58.7	100	100	99.0082
-58.8	58.8	100	100	99.0327
-58.9	58.9	100	100	99.0572
-59.0	59.0	100	100	99.0817
-59.1	59.1	100	100	99.1062
-59.2	59.2	100	100	99.1308
-59.3	59.3	100	100	99.1553
-59.4	59.4	100	100	99.1798
-59.5	59.5	100	100	99.2043
-59.6	59.6	100	100	99.2288
-59.7	59.7	100	100	99.2534
-59.8	59.8	100	100	99.2779
-59.9	59.9	100	100	99.3024
-60.0	60.0	100	100	99.3269
-60.1	60.1	100	100	99.3514
-60.2	60.2	100	100	99.376
-60.3	60.3	100	100	99.4005
-60.4	60.4	100	100	99.425
-60.5	60.5	100	100	99.4495
-60.6	60.6	100	100	99.474
-60.7	60.7	100	100	99.4986
-60.8	60.8	100	100	99.5231
-60.9	60.9	100	100	99.5476
-61.0	61.0	100	100	99.5721
-61.1	61.1	100	100	99.5966
-61.2	61.2	100	100	99.6212
-61.3	61.3	100	100	99.6457
-61.4	61.4	100	100	99.6702
-61.5	61.5	100	100	99.6947
-61.6	61.6	100	100	99.7192
-61.7	61.7	100	100	99.7437
-61.8	61.8	100	100	99.7683
-61.9	61.9	100	100	99.7928
-62.0	62.0	100	100	99.8173
-62.1	62.1	100	100	99.8418
-62.2	62.2	100	100	99.8663
-62.3	62.3	100	100	99.8909
-62.4	62.4	100	100	99.9154
-62.5	62.5	100	100	99.9399
-62.6	62.6	100	100	99.9644
-62.7	62.7	100	100	99.9889
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.251645
-0.2	0.2	0.536842	0.536842	0.503289
-0.3	0.3	0.805263	0.805263	0.754934
-0.4	0.4	1.07368	1.07368	1.00658
-0.5	0.5	1.34211	1.34211	1.25822
-0.6	0.6	1.61053	1.61053	1.50987
-0.7	0.7	1.87895	1.87895	1.76151
-0.8	0.8	2.14737	2.14737	2.01316
-0.9	0.9	2.41579	2.41579	2.2648
-1.0	1.0	2.68421	2.68421	2.51645
-1.1	1.1	2.95263	2.95263	2.76809
-1.2	1.2	3.22105	3.22105	3.01974
-1.3	1.3	3.48947	3.48947	3.27138
-1.4	1.4	3.75789	3.75789	3.52303
-1.5	1.5	4.02632	4.02632	3.77467
-1.6	1.6	4.29474	4.29474	4.02632
-1.7	1.7	4.56316	4.56316	4.27796
-1.8	1.8	4.83158	4.83158	4.52961
-1.9	1.9	5.1	5.1	4.78125
-2.0	2.0	5.36842	5.36842	5.03289
-2.1	2.1	5.63684	5.63684	5.28454
-2.2	2.2	5.90526	5.90526	5.53618
-2.3	2.3	6.17368	6.17368	5.78783
-2.4	2.4	6.44211	6.44211	6.03947
-2.5	2.5	6.71053	6.71053	6.29112
-2.6	2.6	6.97895	6.97895	6.54276
-2.7	2.7	7.24737	7.24737	6.79441
-2.8	2.8	7.51579	7.51579	7.04605
-2.9	2.9	7.78421	7.78421	7.2977
-3.0	3.0	8.05263	8.05263	7.54934
-3.1	3.1	8.32105	8.32105	7.80099
-3.2	3.2	8.58947	8.58947	8.05263
-3.3	3.3	8.85789	8.85789	8.30428
-3.4	3.4	9.12632	9.12632	8.55592
-3.5	3.5	9.39474	9.39474	8.80757
-3.6	3.6	9.66316	9.66316	9.05921
-3.7	3.7	9.93158	9.93158	9.31086
-3.8	3.8	10.2	10.2	9.5625
-3.9	3.9	10.4684	10.4684	9.81414
-4.0	4.0	10.7368	10.7368	10.0658
-4.1	4.1	11.0053	11.0053	10.3174
-4.2	4.2	11.2737	11.2737	10.5691
-4.3	4.3	11.5421	11.5421	10.8207
-4.4	4.4	11.8105	11.8105	11.0724
-4.5	4.5	12.0789	12.0789	11.324
-4.6	4.6	12.3474	12.3474	11.5757
-4.7	4.7	12.6158	12.6158	11.8273
-4.8	4.8	12.8842	12.8842	12.0789
-4.9	4.9	13.1526	13.1526	12.3306
-5.0	5.0	13.4211	13.4211	12.5822
-5.1	5.1	13.6895	13.6895	12.8339
-5.2	5.2	13.9579	13.9579	13.0855
-5.3	5.3	14.2263	14.2263	13.3372
-5.4	5.4	14.4947	14.4947	13.5888
-5.5	5.5	14.7632	14.7632	13.8405
-5.6	5.6	15.0316	15.0316	14.0921
-5.7	5.7	15.3	15.3	14.3438
-5.8	5.8	15.5684	15.5684	14.5954
-5.9	5.9	15.8368	15.8368	14.847
-6.0	6.0	16.1053	16.1053	15.0987
-6.1	6.1	16.3737	16.3737	15.3503
-6.2	6.2	16.6421	16.6421	15.602
-6.3	6.3	16.9105	16.9105	15.8536
-6.4	6.4	17.1789	17.1789	16.1053
-6.5	6.5	17.4474	17.4474	16.3569
-6.6	6.6	17.7158	17.7158	16.6086
-6.7	6.7	17.9842	17.9842	16.8602
-6.8	6.8	18.2526	18.2526	17.1118
-6.9	6.9	18.5211	18.5211	17.3635
-7.0	7.0	18.7895	18.7895	17.6151
-7.1	7.1	19.0579	19.0579	17.8668
-7.2	7.2	19.3263	19.3263	18.1184
-7.3	7.3	19.5947	19.5947	18.3701
-7.4	7.4	19.8632	19.8632	18.6217
-7.5	7.5	20.1316	20.1316	18.8734
-7.6	7.6	20.4	20.4	19.125
-7.7	7.7	20.6684	20.6684	19.3766
-7.8	7.8	20.9368	20.9368	19.6283
-7.9	7.9	21.2053	21.2053	19.8799
-8.0	8.0	21.4737	21.4737	20.1316
-8.1	8.1	21.7421	21.7421	20.3832
-8.2	8.2	22.0105	22.0105	20.6349
-8.3	8.3	22.2789	22.2789	20.8865
-8.4	8.4	22.5474	22.5474	21.1382
-8.5	8.5	22.8158	22.8158	21.3898
-8.6	8.6	23.0842	23.0842	21.6414
-8.7	8.7	23.3526	23.3526	21.8931
-8.8	8.8	23.6211	23.6211	22.1447
-8.9	8.9	23.8895	23.8895	22.3964
-9.0	9.0	24.1579	24.1579	22.648
-9.1	9.1	24.4263	24.4263	22.8997
-9.2	9.2	24.6947	24.6947	23.1513
-9.3	9.3	24.9632	24.9632	23.403
-9.4	9.4	25.2316	25.2316	23.6546
-9.5	9.5	25.5	25.5	23.9062
-9.6	9.6	25.7684	25.7684	24.1579
-9.7	9.7	26.0368	26.0368	24.4095
-9.8	9.8	26.3053	26.3053	24.6612
-9.9	9.9	26.5737	26.5737	24.9128
-10.0	10.0	26.8421	26.8421	25.1645
-10.1	10.1	27.1105	27.1105	25.4161
-10.2	10.2	27.3789	27.3789	25.6678
-10.3	10.3	27.6474	27.6474	25.9194
-10.4	10.4	27.9158	27.9158	26.1711
-10.5	10.5	28.1842	28.1842	26.4227
-10.6	10.6	28.4526	28.4526	26.6743
-10.7	10.7	28.7211	28.7211	26.926
-10.8	10.8	28.9895	28.9895	27.1776
-10.9	10.9	29.2579	29.2579	27.4293
-11.0	11.0	29.5263	29.5263	27.6809
-11.1	11.1	29.7947	29.7947	27.9326
-11.2	11.2	30.0632	30.0632	28.1842
-11.3	11.3	30.3316	30.3316	28.4359
-11.4	11.4	30.6	30.6	28.6875
-11.5	11.5	30.8684	30.8684	28.9391
-11.6	11.6	31.1368	31.1368	29.1908
-11.7	11.7	31.4053	31.4053	29.4424
-11.8	11.8	31.6737	31.6737	29.6941
-11.9	11.9	31.9421	31.9421	29.9457
-12.0	12.0	32.2105	32.2105	30.1974
-12.1	12.1	32.4789	32.4789	30.449
-12.2	12.2	32.7474	32.7474	30.7007
-12.3	12.3	33.0158	33.0158	30.9523
-12.4	12.4	33.2842	33.2842	31.2039
-12.5	12.5	33.5526	33.5526	31.4556
-12.6	12.6	33.8211	33.8211	31.7072
-12.7	12.7	34.0895	34.0895	31.9589
-12.8	12.8	34.3579	34.3579	32.2105
-12.9	12.9	34.6263	34.6263	32.4622
-13.0	13.0	34.8947	34.8947	32.7138
-13.1	13.1	35.1632	35.1632	32.9655
-13.2	13.2	35.4316	35.4316	33.2171
-13.3	13.3	35.7	35.7	33.4688
-13.4	13.4	35.9684	35.9684	33.7204
-13.5	13.5	36.2368	36.2368	33.972
-13.6	13.6	36.5053	36.5053	34.2237
-13.7	13.7	36.7737	36.7737	34.4753
-13.8	13.8	37.0421	37.0421	34.727
-13.9	13.9	37.3105	37.3105	34.9786
-14.0	14.0	37.5789	37.5789	35.2303
-14.1	14.1	37.8474	37.8474	35.4819
-14.2	14.2	38.1158	38.1158	35.7336
-14.3	14.3	38.3842	38.3842	35.9852
-14.4	14.4	38.6526	38.6526	36.2368
-14.5	14.5	38.9211	38.9211	36.4885
-14.6	14.6	39.1895	39.1895	36.7401
-14.7	14.7	39.4579	39.4579	36.9918
-14.8	14.8	39.7263	39.7263	37.2434
-14.9	14.9	39.9947	39.9947	37.4951
-15.0	15.0	40.2632	40.2632	37.7467
-15.1	15.1	40.5316	40.5316	37.9984
-15.2	15.2	40.8	40.8	38.25
-15.3	15.3	41.0684	41.0684	38.5016
-15.4	15.4	41.3368	41.3368	38.7533
-15.5	15.5	41.6053	41.6053	39.0049
-15.6	15.6	41.8737	41.8737	39.2566
-15.7	15.7	42.1421	42.1421	39.5082
-15.8	15.8	42.4105	42.4105	39.7599
-15.9	15.9	42.6789	42.6789	40.0115
-16.0	16.0	42.9474	42.9474	40.2632
-16.1	16.1	43.2158	43.2158	40.5148
-16.2	16.2	43.4842	43.4842	40.7664
-16.3	16.3	43.7526	43.7526	41.0181
-16.4	16.4	44.0211	44.0211	41.2697
-16.5	16.5	44.2895	44.2895	41.5214
-16.6	16.6	44.5579	44.5579	41.773
-16.7	16.7	44.8263	44.8263	42.0247
-16.8	16.8	45.0947	45.0947	42.2763
-16.9	16.9	45.3632	45.3632	42.528
-17.0	17.0	45.6316	45.6316	42.7796
-17.1	17.1	45.9	45.9	43.0312
-17.2	17.2	46.1684	46.1684	43.2829
-17.3	17.3	46.4368	46.4368	43.5345
-17.4	17.4	46.7053	46.7053	43.7862
-17.5	17.5	46.9737	46.9737	44.0378
-17.6	17.6	47.2421	47.2421	44.2895
-17.7	17.7	47.5105	47.5105	44.5411
-17.8	17.8	47.7789	47.7789	44.7928
-17.9	17.9	48.0474	48.0474	45.0444
-18.0	18.0	48.3158	48.3158	45.2961
-18.1	18.1	48.5842	48.5842	45.5477
-18.2	18.2	48.8526	48.8526	45.7993
-18.3	18.3	49.1211	49.1211	46.051
-18.4	18.4	49.3895	49.3895	46.3026
-18.5	18.5	49.6579	49.6579	46.5543
-18.6	18.6	49.9263	49.9263	46.8059
-18.7	18.7	50.1947	50.1947	47.0576
-18.8	18.8	50.4632	50.4632	47.3092
-18.9	18.9	50.7316	50.7316	47.5609
-19.0	19.0	51	51	47.8125
-19.1	19.1	51.2684	51.2684	48.0641
-19.2	19.2	51.5368	51.5368	48.3158
-19.3	19.3	51.8053	51.8053	48.5674
-19.4	19.4	52.0737	52.0737	48.8191
-19.5	19.5	52.3421	52.3421	49.0707
-19.6	19.6	52.6105	52.6105	49.3224
-19.7	19.7	52.8789	52.8789	49.574
-19.8	19.8	53.1474	53.1474	49.8257
-19.9	19.9	53.4158	53.4158	50.0773
-20.0	20.0	53.6842	53.6842	50.3289
-20.1	20.1	53.9526	53.9526	50.5806
-20.2	20.2	54.2211	54.2211	50.8322
-20.3	20.3	54.4895	54.4895	51.0839
-20.4	20.4	54.7579	54.7579	51.3355
-20.5	20.5	55.0263	55.0263	51.5872
-20.6	20.6	55.2947	55.2947	51.8388
-20.7	20.7	55.5632	55.5632	52.0905
-20.8	20.8	55.8316	55.8316	52.3421
-20.9	20.9	56.1	56.1	52.5937
-21.0	21.0	56.3684	56.3684	52.8454
-21.1	21.1	56.6368	56.6368	53.097
-21.2	21.2	56.9053	56.9053	53.3487
-21.3	21.3	57.1737	57.1737	53.6003
-21.4	21.4	57.4421	57.4421	53.852
-21.5	21.5	57.7105	57.7105	54.1036
-21.6	21.6	57.9789	57.9789	54.3553
-21.7	21.7	58.2474	58.2474	54.6069
-21.8	21.8	58.5158	58.5158	54.8586
-21.9	21.9	58.7842	58.7842	55.1102
-22.0	22.0	59.0526	59.0526	55.3618
-22.1	22.1	59.3211	59.3211	55.6135
-22.2	22.2	59.5895	59.5895	55.8651
-22.3	22.3	59.8579	59.8579	56.1168
-22.4	22.4	60.1263	60.1263	56.3684
-22.5	22.5	60.3947	60.3947	56.6201
-22.6	22.6	60.6632	60.6632	56.8717
-22.7	22.7	60.9316	60.9316	57.1234
-22.8	22.8	61.2	61.2	57.375
-22.9	22.9	61.4684	61.4684	57.6266
-23.0	23.0	61.7368	61.7368	57.8783
-23.1	23.1	62.0053	62.0053	58.1299
-23.2	23.2	62.2737	62.2737	58.3816
-23.3	23.3	62.5421	62.5421	58.6332
-23.4	23.4	62.8105	62.8105	58.8849
-23.5	23.5	63.0789	63.0789	59.1365
-23.6	23.6	63.3474	63.3474	59.3882
-23.7	23.7	63.6158	63.6158	59.6398
-23.8	23.8	63.8842	63.8842	59.8914
-23.9	23.9	64.1526	64.1526	60.1431
-24.0	24.0	64.4211	64.4211	60.3947
-24.1	24.1	64.6895	64.6895	60.6464
-24.2	24.2	64.9579	64.9579	60.898
-24.3	24.3	65.2263	65.2263	61.1497
-24.4	24.4	65.4947	65.4947	61.4013
-24.5	24.5	65.7632	65.7632	61.653
-24.6	24.6	66.0316	66.0316	61.9046
-24.7	24.7	66.3	66.3	62.1562
-24.8	24.8	66.5684	66.5684	62.4079
-24.9	24.9	66.8368	66.8368	62.6595
-25.0	25.0	67.1053	67.1053	62.9112
-25.1	25.1	67.3737	67.3737	63.1628
-25.2	25.2	67.6421	67.6421	63.4145
-25.3	25.3	67.9105	67.9105	63.6661
-25.4	25.4	68.1789	68.1789	63.9178
-25.5	25.5	68.4474	68.4474	64.1694
-25.6	25.6	68.7158	68.7158	64.4211
-25.7	25.7	68.9842	68.9842	64.6727
-25.8	25.8	69.2526	69.2526	64.9243
-25.9	25.9	69.5211	69.5211	65.176
-26.0	26.0	69.7895	69.7895	65.4276
-26.1	26.1	70.0579	70.0579	65.6793
-26.2	26.2	70.3263	70.3263	65.9309
-26.3	26.3	70.5947	70.5947	66.1826
-26.4	26.4	70.8632	70.8632	66.4342
-26.5	26.5	71.1316	71.1316	66.6859
-26.6	26.6	71.4	71.4	66.9375
-26.7	26.7	71.6684	71.6684	67.1891
-26.8	26.8	71.9368	71.9368	67.4408
-26.9	26.9	72.2053	72.2053	67.6924
-27.0	27.0	72.4737	72.4737	67.9441
-27.1	27.1	72.7421	72.7421	68.1957
-27.2	27.2	73.0105	73.0105	68.4474
-27.3	27.3	73.2789	73.2789	68.699
-27.4	27.4	73.5474	73.5474	68.9507
-27.5	27.5	73.8158	73.8158	69.2023
-27.6	27.6	74.0842	74.0842	69.4539
-27.7	27.7	74.3526	74.3526	69.7056
-27.8	27.8	74.6211	74.6211	69.9572
-27.9	27.9	74.8895	74.8895	70.2089
-28.0	28.0	75.1579	75.1579	70.4605
-28.1	28.1	75.4263	75.4263	70.7122
-28.2	28.2	75.6947	75.6947	70.9638
-28.3	28.3	75.9632	75.9632	71.2155
-28.4	28.4	76.2316	76.2316	71.4671
-28.5	28.5	76.5	76.5	71.7188
-28.6	28.6	76.7684	76.7684	71.9704
-28.7	28.7	77.0368	77.0368	72.222
-28.8	28.8	77.3053	77.3053	72.4737
-28.9	28.9	77.5737	77.5737	72.7253
-29.0	29.0	77.8421	77.8421	72.977
-29.1	29.1	78.1105	78.1105	73.2286
-29.2	29.2	78.3789	78.3789	73.4803
-29.3	29.3	78.6474	78.6474	73.7319
-29.4	29.4	78.9158	78.9158	73.9836
-29.5	29.5	79.1842	79.1842	74.2352
-29.6	29.6	79.4526	79.4526	74.4868
-29.7	29.7	79.7211	79.7211	74.7385
-29.8	29.8	79.9895	79.9895	74.9901
-29.9	29.9	80.2579	80.2579	75.2418
-30.0	30.0	80.5263	80.5263	75.4934
-30.1	30.1	80.7947	80.7947	75.7451
-30.2	30.2	81.0632	81.0632	75.9967
-30.3	30.3	81.3316	81.3316	76.2484
-30.4	30.4	81.6	81.6	76.5
-30.5	30.5	81.8684	81.8684	76.7516
-30.6	30.6	82.1368	82.1368	77.0033
-30.7	30.7	82.4053	82.4053	77.2549
-30.8	30.8	82.6737	82.6737	77.5066
-30.9	30.9	82.9421	82.9421	77.7582
-31.0	31.0	83.2105	83.2105	78.0099
-31.1	31.1	83.4789	83.4789	78.2615
-31.2	31.2	83.7474	83.7474	78.5132
-31.3	31.3	84.0158	84.0158	78.7648
-31.4	31.4	84.2842	84.2842	78.9658
-31.5	31.5	84.5526	84.5526	79.0329
-31.6	31.6	84.8211	84.8211	79.1
-31.7	31.7	85.0895	85.0895	79.1671
-31.8	31.8	85.3579	85.3579	79.2342
-31.9	31.9	85.6263	85.6263	79.3013
-32.0	32.0	85.8947	85.8947	79.3684
-32.1	32.1	86.1632	86.1632	79.4355
-32.2	32.2	86.4316	86.4316	79.5026
-32.3	32.3	86.7	86.7	79.5697
-32.4	32.4	86.9684	86.9684	79.6368
-32.5	32.5	87.2368	87.2368	79.7039
-32.6	32.6	87.5053	87.5053	79.7711
-32.7	32.7	87.7737	87.7737	79.8382
-32.8	32.8	88.0421	88.0421	79.9053
-32.9	32.9	88.3105	88.3105	79.9724
-33.0	33.0	88.5789	88.5789	80.0395
-33.1	33.1	88.8474	88.8474	80.1066
-33.2	33.2	89.1158	89.1158	80.1737
-33.3	33.3	89.3842	89.3842	80.2408
-33.4	33.4	89.6526	89.6526	80.3079
-33.5	33.5	89.9211	89.9211	80.375
-33.6	33.6	90.1895	90.1895	80.4421
-33.7	33.7	90.4579	90.4579	80.5092
-33.8	33.8	90.7263	90.7263	80.5763
-33.9	33.9	90.9947	90.9947	80.6434
-34.0	34.0	91.2632	91.2632	80.7105
-34.1	34.1	91.5316	91.5316	80.7776
-34.2	34.2	91.8	91.8	80.8447
-34.3	34.3	92.0684	92.0684	80.9118
-34.4	34.4	92.3368	92.3368	80.9789
-34.5	34.5	92.6053	92.6053	81.0461
-34.6	34.6	92.8737	92.8737	81.1132
-34.7	34.7	93.1421	93.1421	81.1803
-34.8	34.8	93.4105	93.4105	81.2474
-34.9	34.9	93.6789	93.6789	81.3145
-35.0	35.0	93.9474	93.9474	81.3816
-35.1	35.1	94.2158	94.2158	81.4487
-35.2	35.2	94.4842	94.4842	81.5158
-35.3	35.3	94.7526	94.7526	81.5829
-35.4	35.4	95.0211	95.0211	81.65
-35.5	35.5	95.2895	95.2895	81.7171
-35.6	35.6	95.5579	95.5579	81.7842
-35.7	35.7	95.8263	95.8263	81.8513
-35.8	35.8	96.0947	96.0947	81.9184
-35.9	35.9	96.3632	96.3632	81.9855
-36.0	36.0	96.6316	96.6316	82.0526
-36.1	36.1	96.9	96.9	82.1197
-36.2	36.2	97.1684	97.1684	82.1868
-36.3	36.3	97.4368	97.4368	82.2539
-36.4	36.4	97.7053	97.7053	82.3211
-36.5	36.5	97.9737	97.9737	82.3882
-36.6	36.6	98.2421	98.2421	82.4553
-36.7	36.7	98.5105	98.5105	82.5224
-36.8	36.8	98.7789	98.7789	82.5895
-36.9	36.9	99.0474	99.0474	82.6566
-37.0	37.0	99.3158	99.3158	82.7237
-37.1	37.1	99.5842	99.5842	82.7908
-37.2	37.2	99.8526	99.8526	82.8579
-37.3	37.3	100	100	82.925
-37.4	37.4	100	100	82.9921
-37.5	37.5	100	100	83.0592
-37.6	37.6	100	100	83.1263
-37.7	37.7	100	100	83.1934
-37.8	37.8	100	100	83.2605
-37.9	37.9	100	100	83.3276
-38.0	38.0	100	100	83.3947
-38.1	38.1	100	100	83.4618
-38.2	38.2	100	100	83.5289
-38.3	38.3	100	100	83.5961
-38.4	38.4	100	100	83.6632
-38.5	38.5	100	100	83.7303
-38.6	38.6	100	100	83.7974
-38.7	38.7	100	100	83.8645
-38.8	38.8	100	100	83.9316
-38.9	38.9	100	100	83.9987
-39.0	39.0	100	100	84.0658
-39.1	39.1	100	100	84.1329
-39.2	39.2	100	100	84.2
-39.3	39.3	100	100	84.2671
-39.4	39.4	100	100	84.3342
-39.5	39.5	100	100	84.4013
-39.6	39.6	100	100	84.4684
-39.7	39.7	100	100	84.5355
-39.8	39.8	100	100	84.6026
-39.9	39.9	100	100	84.6697
-40.0	40.0	100	100	84.7368
-40.1	40.1	100	100	84.8039
-40.2	40.2	100	100	84.8711
-40.3	40.3	100	100	84.9382
-40.4	40.4	100	100	85.0053
-40.5	40.5	100	100	85.0724
-40.6	40.6	100	100	85.1395
-40.7	40.7	100	100	85.2066
-40.8	40.8	100	100	85.2737
-40.9	40.9	100	100	85.3408
-41.0	41.0	100	100	85.4079
-41.1	41.1	100	100	85.475
-41.2	41.2	100	100	85.5421
-41.3	41.3	100	100	85.6092
-41.4	41.4	100	100	85.6763
-41.5	41.5	100	100	85.7434
-41.6	41.6	100	100	85.8105
-41.7	41.7	100	100	85.8776
-41.8	41.8	100	100	85.9447
-41.9	41.9	100	100	86.0118
-42.0	42.0	100	100	86.0789
-42.1	42.1	100	100	86.1461
-42.2	42.2	100	100	86.2132
-42.3	42.3	100	100	86.2803
-42.4	42.4	100	100	86.3474
-42.5	42.5	100	100	86.4145
-42.6	42.6	100	100	86.4816
-42.7	42.7	100	100	86.5487
-42.8	42.8	100	100	86.6158
-42.9	42.9	100	100	86.6829
-43.0	43.0	100	100	86.75
-43.1	43.1	100	100	86.8171
-43.2	43.2	100	100	86.8842
-43.3	43.3	100	100	86.9513
-43.4	43.4	100	100	87.0184
-43.5	43.5	100	100	87.0855
-43.6	43.6	100	100	87.1526
-43.7	43.7	100	100	87.2197
-43.8	43.8	100	100	87.2868
-43.9	43.9	100	100	87.3539
-44.0	44.0	100	100	87.4211
-44.1	44.1	100	100	87.4882
-44.2	44.2	100	100	87.5553
-44.3	44.3	100	100	87.6224
-44.4	44.4	100	100	87.6895
-44.5	44.5	100	100	87.7566
-44.6	44.6	100	100	87.8237
-44.7	44.7	100	100	87.8908
-44.8	44.8	100	100	87.9579
-44.9	44.9	100	100	88.025
-45.0	45.0	100	100	88.0921
-45.1	45.1	100	100	88.1592
-45.2	45.2	100	100	88.2263
-45.3	45.3	100	100	88.2934
-45.4	45.4	100	100	88.3605
-45.5	45.5	100	100	88.4276
-45.6	45.6	100	100	88.4947
-45.7	45.7	100	100	88.5618
-45.8	45.8	100	100	88.6289
-45.9	45.9	100	100	88.6961
-46.0	46.0	100	100	88.7632
-46.1	46.1	100	100	88.8303
-46.2	46.2	100	100	88.8974
-46.3	46.3	100	100	88.9645
-46.4	46.4	100	100	89.0316
-46.5	46.5	100	100	89.0987
-46.6	46.6	100	100	89.1658
-46.7	46.7	100	100	89.2329
-46.8	46.8	100	100	89.3
-46.9	46.9	100	100	89.3671
-47.0	47.0	100	100	89.4342
-47.1	47.1	100	100	89.5013
-47.2	47.2	100	100	89.5684
-47.3	47.3	100	100	89.6355
-47.4	47.4	100	100	89.7026
-47.5	47.5	100	100	89.7697
-47.6	47.6	100	100	89.8368
-47.7	47.7	100	100	89.9039
-47.8	47.8	100	100	89.9711
-47.9	47.9	100	100	90.0382
-48.0	48.0	100	100	90.1053
-48.1	48.1	100	100	90.1724
-48.2	48.2	100	100	90.2395
-48.3	48.3	100	100	90.3066
-48.4	48.4	100	100	90.3737
-48.5	48.5	100	100	90.4408
-48.6	48.6	100	100	90.5079
-48.7	48.7	100	100	90.575
-48.8	48.8	100	100	90.6421
-48.9	48.9	100	100	90.7092
-49.0	49.0	100	100	90.7763
-49.1	49.1	100	100	90.8434
-49.2	49.2	100	100	90.9105
-49.3	49.3	100	100	90.9776
-49.4	49.4	100	100	91.0447
-49.5	49.5	100	100	91.1118
-49.6	49.6	100	100	91.1789
-49.7	49.7	100	100	91.2461
-49.8	49.8	100	100	91.3132
-49.9	49.9	100	100	91.3803
-50.0	50.0	100	100	91.4474
-50.1	50.1	100	100	91.5145
-50.2	50.2	100	100	91.5816
-50.3	50.3	100	100	91.6487
-50.4	50.4	100	100	91.7158
-50.5	50.5	100	100	91.7829
-50.6	50.6	100	100	91.85
-50.7	50.7	100	100	91.9171
-50.8	50.8	100	100	91.9842
-50.9	50.9	100	100	92.0513
-51.0	51.0	100	100	92.1184
-51.1	51.1	100	100	92.1855
-51.2	51.2	100	100	92.2526
-51.3	51.3	100	100	92.3197
-51.4	51.4	100	100	92.3868
-51.5	51.5	100	100	92.4539
-51.6	51.6	100	100	92.5211
-51.7	51.7	100	100	92.5882
-51.8	51.8	100	100	92.6553
-51.9	51.9	100	100	92.7224
-52.0	52.0	100	100	92.7895
-52.1	52.1	100	100	92.8566
-52.2	52.2	100	100	92.9237
-52.3	52.3	100	100	92.9908
-52.4	52.4	100	100	93.0579
-52.5	52.5	100	100	93.125
-52.6	52.6	100	100	93.1921
-52.7	52.7	100	100	93.2592
-52.8	52.8	100	100	93.3263
-52.9	52.9	100	100	93.3934
-53.0	53.0	100	100	93.4605
-53.1	53.1	100	100	93.5276
-53.2	53.2	100	100	93.5947
-53.3	53.3	100	100	93.6618
-53.4	53.4	100	100	93.7289
-53.5	53.5	100	100	93.7961
-53.6	53.6	100	100	93.8632
-53.7	53.7	100	100	93.9303
-53.8	53.8	100	100	93.9974
-53.9	53.9	100	100	94.0645
-54.0	54.0	100	100	94.1316
-54.1	54.1	100	100	94.1987
-54.2	54.2	100	100	94.2658
-54.3	54.3	100	100	94.3329
-54.4	54.4	100	100	94.4
-54.5	54.5	100	100	94.4671
-54.6	54.6	100	100	94.5342
-54.7	54.7	100	100	94.6013
-54.8	54.8	100	100	94.6684
-54.9	54.9	100	100	94.7355
-55.0	55.0	100	100	94.8026
-55.1	55.1	100	100	94.8697
-55.2	55.2	100	100	94.9368
-55.3	55.3	100	100	95.0039
-55.4	55.4	100	100	95.0711
-55.5	55.5	100	100	95.1382
-55.6	55.6	100	100	95.2053
-55.7	55.7	100	100	95.2724
-55.8	55.8	100	100	95.3395
-55.9	55.9	100	100	95.4066
-56.0	56.0	100	100	95.4737
-56.1	56.1	100	100	95.5408
-56.2	56.2	100	100	95.6079
-56.3	56.3	100	100	95.675
-56.4	56.4	100	100	95.7421
-56.5	56.5	100	100	95.8092
-56.6	56.6	100	100	95.8763
-56.7	56.7	100	100	95.9434
-56.8	56.8	100	100	96.0105
-56.9	56.9	100	100	96.0776
-57.0	57.0	100	100	96.1447
-57.1	57.1	100	100	96.2118
-57.2	57.2	100	100	96.2789
-57.3	57.3	100	100	96.3461
-57.4	57.4	100	100	96.4132
-57.5	57.5	100	100	96.4803
-57.6	57.6	100	100	96.5474
-57.7	57.7	100	100	96.6145
-57.8	57.8	100	100	96.6816
-57.9	57.9	100	100	96.7487
-58.0	58.0	100	100	96.8158
-58.1	58.1	100	100	96.8829
-58.2	58.2	100	100	96.95
-58.3	58.3	100	100	97.0171
-58.4	58.4	100	100	97.0842
-58.5	58.5	100	100	97.1513
-58.6	58.6	100	100	97.2184
-58.7	58.7	100	100	97.2855
-58.8	58.8	100	100	97.3526
-58.9	58.9	100	100	97.4197
-59.0	59.0	100	100	97.4868
-59.1	59.1	100	100	97.5539
-59.2	59.2	100	100	97.6211
-59.3	59.3	100	100	97.6882
-59.4	59.4	100	100	97.7553
-59.5	59.5	100	100	97.8224
-59.6	59.6	100	100	97.8895
-59.7	59.7	100	100	97.9566
-59.8	59.8	100	100	98.0237
-59.9	59.9	100	100	98.0908
-60.0	60.0	100	100	98.1579
-60.1	60.1	100	100	98.225
-60.2	60.2	100	100	98.2921
-60.3	60.3	100	100	98.3592
-60.4	60.4	100	100	98.4263
-60.5	60.5	100	100	98.4934
-60.6	60.6	100	100	98.5605
-60.7	60.7	100	100	98.6276
-60.8	60.8	100	100	98.6947
-60.9	60.9	100	100	98.7618
-61.0	61.0	100	100	98.8289
-61.1	61.1	100	100	98.8961
-61.2	61.2	100	100	98.9632
-61.3	61.3	100	100	99.0303
-61.4	61.4	100	100	99.0974
-61.5	61.5	100	100	99.1645
-61.6	61.6	100	100	99.2316
-61.7	61.7	100	100	99.2987
-61.8	61.8	100	100	99.3658
-61.9	61.9	100	100	99.4329
-62.0	62.0	100	100	99.5
-62.1	62.1	100	100	99.5671
-62.2	62.2	100	100	99.6342
-62.3	62.3	100	100	99.7013
-62.4	62.4	100	100	99.7684
-62.5	62.5	100	100	99.8355
-62.6	62.6	100	100	99.9026
-62.7	62.7	100	100	99.9697
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
diff --git a/tests/resources/analysis_results/ref_reports/IrisC.txt b/tests/resources/analysis_results/ref_reports/IrisC.txt
deleted file mode 100644
index d1174cf0..00000000
--- a/tests/resources/analysis_results/ref_reports/IrisC.txt
+++ /dev/null
@@ -1,6378 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-Target descriptive stats
-	Values	3
-	Mode	Iris-versicolor
-	Mode frequency	37
-Target variable stats
-	Iris-setosa	31
-	Iris-versicolor	37
-	Iris-virginica	31
-Evaluated variables	11
-Informative variables	9
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	8.52714
-	Data cost	103.619
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	SPetalLength	Categorical	0.640816		3	5						4	32	3.09104	27.4826	9.95655	AsCategorical(Floor(PetalLength))
-R02	PetalLength	Numerical	0.635667		3	36	1	6.9	3.801010101	1.712137004	0			3.09104	28.0635	9.95655	
-R03	PetalWidth	Numerical	0.617492		3	20	0.1	2.5	1.218181818	0.749863777	0			3.09104	30.1144	9.95655	
-R04	Class2	Categorical	0.473857		2	2							62	3.09104	15.5969	40.6817	IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R05	LowerPetalLength	Numerical	0.447267		2	9	1	3	2.517171717	0.7226550938	0			3.09104	14.7454	44.5336	If(LE(PetalLength, 3), PetalLength, 3)
-R06	Class1	Categorical	0.441125		2	2							68	3.09104	15.4385	44.5336	IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R07	UpperPetalWidth	Numerical	0.306898		2	11	1.5	2.5	1.681818182	0.2962266524	0			3.09104	14.8064	60.3118	If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-R08	SepalLength	Numerical	0.2811		3	30	4.3	7.7	5.848484848	0.8065844732	0			3.09104	27.4942	50.535	
-R09	SepalWidth	Numerical	0.112567		2	22	2	4.4	3.042424242	0.4422374035	0			3.09104	16.7264	80.32	
-R10	Dummy1	Numerical	0		1	1	0	0	0	0	0			0.693147	8.52714	103.619	Copy(0)
-R11	Dummy2	Numerical	0		1	99	0.01372010867	0.9853969761	0.5371015665	0.2836682962	0			0.693147	8.52714	103.619	Random()
-
-Detailed variable statistics
-
-Rank	R01	SPetalLength	Categorical
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	36	2	0.311045
-{1}	31	0	0	0.374224
-{5, 6}	0	1	29	0.314731
-
-Input values
-	4	32
-	1	31
-	5	24
-	3	6
-	6	6
-
-Rank	R02	PetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.95]	2.4	4.95
-	]4.95;+inf[	4.95	6.9
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.4]	31	0	0	0.374224
-]2.4;4.95]	0	36	2	0.311045
-]4.95;+inf[	0	1	29	0.314731
-
-Rank	R03	PetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.75]	0.7	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;0.7]	31	0	0	0.374224
-]0.7;1.75]	0	36	2	0.311045
-]1.75;+inf[	0	1	29	0.314731
-
-Rank	R04	Class2	Categorical
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{}	31	0	31	0.443449
-{versicolor}	0	37	0	0.556551
-
-Input values
-		62
-	versicolor	37
-
-Rank	R05	LowerPetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.4]	31	0	0	0.584937
-]2.4;+inf[	0	37	31	0.415063
-
-Rank	R06	Class1	Categorical
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{}	0	37	31	0.415063
-{setosa}	31	0	0	0.584937
-
-Input values
-		68
-	setosa	31
-
-Rank	R07	UpperPetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;1.55]	31	33	2	0.407767
-]1.55;+inf[	0	4	29	0.592233
-
-Rank	R08	SepalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.75]	5.45	5.75
-	]5.75;+inf[	5.75	7.7
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;5.45]	28	3	0	0.493633
-]5.45;5.75]	3	12	1	0.100396
-]5.75;+inf[	0	22	30	0.405971
-
-Rank	R09	SepalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;3.35]	11	36	29	0.268778
-]3.35;+inf[	20	1	2	0.731222
-
-
-Report	Modeling
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	Class
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	4
-R2	Classifier	Univariate	Univariate SPetalLength	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PClass2	Class2	0.473857	0.507812	0.490541
-PPetalLength	PetalLength	0.635667	0.164062	0.322938
-PClass1	Class1	0.441125	0.210938	0.305041
-PLowerPetalLength	LowerPetalLength	0.447267	0.171875	0.277262
-
-
-Report	Evaluation	Train
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.98326	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.969697	0.884895	0.983648
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	37	0
-$Iris-virginica	0	0	31
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	36	2
-$Iris-virginica	0	1	29
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	36	2	0.311045
-{1}	31	0	0	0.374224
-{5, 6}	0	1	29	0.314731
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.319355
-0.2	0.2	0.63871	0.63871	0.63871
-0.3	0.3	0.958065	0.958065	0.958065
-0.4	0.4	1.27742	1.27742	1.27742
-0.5	0.5	1.59677	1.59677	1.59677
-0.6	0.6	1.91613	1.91613	1.91613
-0.7	0.7	2.23548	2.23548	2.23548
-0.8	0.8	2.55484	2.55484	2.55484
-0.9	0.9	2.87419	2.87419	2.87419
-1.0	1.0	3.19355	3.19355	3.19355
-1.1	1.1	3.5129	3.5129	3.5129
-1.2	1.2	3.83226	3.83226	3.83226
-1.3	1.3	4.15161	4.15161	4.15161
-1.4	1.4	4.47097	4.47097	4.47097
-1.5	1.5	4.79032	4.79032	4.79032
-1.6	1.6	5.10968	5.10968	5.10968
-1.7	1.7	5.42903	5.42903	5.42903
-1.8	1.8	5.74839	5.74839	5.74839
-1.9	1.9	6.06774	6.06774	6.06774
-2.0	2.0	6.3871	6.3871	6.3871
-2.1	2.1	6.70645	6.70645	6.70645
-2.2	2.2	7.02581	7.02581	7.02581
-2.3	2.3	7.34516	7.34516	7.34516
-2.4	2.4	7.66452	7.66452	7.66452
-2.5	2.5	7.98387	7.98387	7.98387
-2.6	2.6	8.30323	8.30323	8.30323
-2.7	2.7	8.62258	8.62258	8.62258
-2.8	2.8	8.94194	8.94194	8.94194
-2.9	2.9	9.26129	9.26129	9.26129
-3.0	3.0	9.58065	9.58065	9.58065
-3.1	3.1	9.9	9.9	9.9
-3.2	3.2	10.2194	10.2194	10.2194
-3.3	3.3	10.5387	10.5387	10.5387
-3.4	3.4	10.8581	10.8581	10.8581
-3.5	3.5	11.1774	11.1774	11.1774
-3.6	3.6	11.4968	11.4968	11.4968
-3.7	3.7	11.8161	11.8161	11.8161
-3.8	3.8	12.1355	12.1355	12.1355
-3.9	3.9	12.4548	12.4548	12.4548
-4.0	4.0	12.7742	12.7742	12.7742
-4.1	4.1	13.0935	13.0935	13.0935
-4.2	4.2	13.4129	13.4129	13.4129
-4.3	4.3	13.7323	13.7323	13.7323
-4.4	4.4	14.0516	14.0516	14.0516
-4.5	4.5	14.371	14.371	14.371
-4.6	4.6	14.6903	14.6903	14.6903
-4.7	4.7	15.0097	15.0097	15.0097
-4.8	4.8	15.329	15.329	15.329
-4.9	4.9	15.6484	15.6484	15.6484
-5.0	5.0	15.9677	15.9677	15.9677
-5.1	5.1	16.2871	16.2871	16.2871
-5.2	5.2	16.6065	16.6065	16.6065
-5.3	5.3	16.9258	16.9258	16.9258
-5.4	5.4	17.2452	17.2452	17.2452
-5.5	5.5	17.5645	17.5645	17.5645
-5.6	5.6	17.8839	17.8839	17.8839
-5.7	5.7	18.2032	18.2032	18.2032
-5.8	5.8	18.5226	18.5226	18.5226
-5.9	5.9	18.8419	18.8419	18.8419
-6.0	6.0	19.1613	19.1613	19.1613
-6.1	6.1	19.4806	19.4806	19.4806
-6.2	6.2	19.8	19.8	19.8
-6.3	6.3	20.1194	20.1194	20.1194
-6.4	6.4	20.4387	20.4387	20.4387
-6.5	6.5	20.7581	20.7581	20.7581
-6.6	6.6	21.0774	21.0774	21.0774
-6.7	6.7	21.3968	21.3968	21.3968
-6.8	6.8	21.7161	21.7161	21.7161
-6.9	6.9	22.0355	22.0355	22.0355
-7.0	7.0	22.3548	22.3548	22.3548
-7.1	7.1	22.6742	22.6742	22.6742
-7.2	7.2	22.9935	22.9935	22.9935
-7.3	7.3	23.3129	23.3129	23.3129
-7.4	7.4	23.6323	23.6323	23.6323
-7.5	7.5	23.9516	23.9516	23.9516
-7.6	7.6	24.271	24.271	24.271
-7.7	7.7	24.5903	24.5903	24.5903
-7.8	7.8	24.9097	24.9097	24.9097
-7.9	7.9	25.229	25.229	25.229
-8.0	8.0	25.5484	25.5484	25.5484
-8.1	8.1	25.8677	25.8677	25.8677
-8.2	8.2	26.1871	26.1871	26.1871
-8.3	8.3	26.5065	26.5065	26.5065
-8.4	8.4	26.8258	26.8258	26.8258
-8.5	8.5	27.1452	27.1452	27.1452
-8.6	8.6	27.4645	27.4645	27.4645
-8.7	8.7	27.7839	27.7839	27.7839
-8.8	8.8	28.1032	28.1032	28.1032
-8.9	8.9	28.4226	28.4226	28.4226
-9.0	9.0	28.7419	28.7419	28.7419
-9.1	9.1	29.0613	29.0613	29.0613
-9.2	9.2	29.3806	29.3806	29.3806
-9.3	9.3	29.7	29.7	29.7
-9.4	9.4	30.0194	30.0194	30.0194
-9.5	9.5	30.3387	30.3387	30.3387
-9.6	9.6	30.6581	30.6581	30.6581
-9.7	9.7	30.9774	30.9774	30.9774
-9.8	9.8	31.2968	31.2968	31.2968
-9.9	9.9	31.6161	31.6161	31.6161
-10.0	10.0	31.9355	31.9355	31.9355
-10.1	10.1	32.2548	32.2548	32.2548
-10.2	10.2	32.5742	32.5742	32.5742
-10.3	10.3	32.8935	32.8935	32.8935
-10.4	10.4	33.2129	33.2129	33.2129
-10.5	10.5	33.5323	33.5323	33.5323
-10.6	10.6	33.8516	33.8516	33.8516
-10.7	10.7	34.171	34.171	34.171
-10.8	10.8	34.4903	34.4903	34.4903
-10.9	10.9	34.8097	34.8097	34.8097
-11.0	11.0	35.129	35.129	35.129
-11.1	11.1	35.4484	35.4484	35.4484
-11.2	11.2	35.7677	35.7677	35.7677
-11.3	11.3	36.0871	36.0871	36.0871
-11.4	11.4	36.4065	36.4065	36.4065
-11.5	11.5	36.7258	36.7258	36.7258
-11.6	11.6	37.0452	37.0452	37.0452
-11.7	11.7	37.3645	37.3645	37.3645
-11.8	11.8	37.6839	37.6839	37.6839
-11.9	11.9	38.0032	38.0032	38.0032
-12.0	12.0	38.3226	38.3226	38.3226
-12.1	12.1	38.6419	38.6419	38.6419
-12.2	12.2	38.9613	38.9613	38.9613
-12.3	12.3	39.2806	39.2806	39.2806
-12.4	12.4	39.6	39.6	39.6
-12.5	12.5	39.9194	39.9194	39.9194
-12.6	12.6	40.2387	40.2387	40.2387
-12.7	12.7	40.5581	40.5581	40.5581
-12.8	12.8	40.8774	40.8774	40.8774
-12.9	12.9	41.1968	41.1968	41.1968
-13.0	13.0	41.5161	41.5161	41.5161
-13.1	13.1	41.8355	41.8355	41.8355
-13.2	13.2	42.1548	42.1548	42.1548
-13.3	13.3	42.4742	42.4742	42.4742
-13.4	13.4	42.7935	42.7935	42.7935
-13.5	13.5	43.1129	43.1129	43.1129
-13.6	13.6	43.4323	43.4323	43.4323
-13.7	13.7	43.7516	43.7516	43.7516
-13.8	13.8	44.071	44.071	44.071
-13.9	13.9	44.3903	44.3903	44.3903
-14.0	14.0	44.7097	44.7097	44.7097
-14.1	14.1	45.029	45.029	45.029
-14.2	14.2	45.3484	45.3484	45.3484
-14.3	14.3	45.6677	45.6677	45.6677
-14.4	14.4	45.9871	45.9871	45.9871
-14.5	14.5	46.3065	46.3065	46.3065
-14.6	14.6	46.6258	46.6258	46.6258
-14.7	14.7	46.9452	46.9452	46.9452
-14.8	14.8	47.2645	47.2645	47.2645
-14.9	14.9	47.5839	47.5839	47.5839
-15.0	15.0	47.9032	47.9032	47.9032
-15.1	15.1	48.2226	48.2226	48.2226
-15.2	15.2	48.5419	48.5419	48.5419
-15.3	15.3	48.8613	48.8613	48.8613
-15.4	15.4	49.1806	49.1806	49.1806
-15.5	15.5	49.5	49.5	49.5
-15.6	15.6	49.8194	49.8194	49.8194
-15.7	15.7	50.1387	50.1387	50.1387
-15.8	15.8	50.4581	50.4581	50.4581
-15.9	15.9	50.7774	50.7774	50.7774
-16.0	16.0	51.0968	51.0968	51.0968
-16.1	16.1	51.4161	51.4161	51.4161
-16.2	16.2	51.7355	51.7355	51.7355
-16.3	16.3	52.0548	52.0548	52.0548
-16.4	16.4	52.3742	52.3742	52.3742
-16.5	16.5	52.6935	52.6935	52.6935
-16.6	16.6	53.0129	53.0129	53.0129
-16.7	16.7	53.3323	53.3323	53.3323
-16.8	16.8	53.6516	53.6516	53.6516
-16.9	16.9	53.971	53.971	53.971
-17.0	17.0	54.2903	54.2903	54.2903
-17.1	17.1	54.6097	54.6097	54.6097
-17.2	17.2	54.929	54.929	54.929
-17.3	17.3	55.2484	55.2484	55.2484
-17.4	17.4	55.5677	55.5677	55.5677
-17.5	17.5	55.8871	55.8871	55.8871
-17.6	17.6	56.2065	56.2065	56.2065
-17.7	17.7	56.5258	56.5258	56.5258
-17.8	17.8	56.8452	56.8452	56.8452
-17.9	17.9	57.1645	57.1645	57.1645
-18.0	18.0	57.4839	57.4839	57.4839
-18.1	18.1	57.8032	57.8032	57.8032
-18.2	18.2	58.1226	58.1226	58.1226
-18.3	18.3	58.4419	58.4419	58.4419
-18.4	18.4	58.7613	58.7613	58.7613
-18.5	18.5	59.0806	59.0806	59.0806
-18.6	18.6	59.4	59.4	59.4
-18.7	18.7	59.7194	59.7194	59.7194
-18.8	18.8	60.0387	60.0387	60.0387
-18.9	18.9	60.3581	60.3581	60.3581
-19.0	19.0	60.6774	60.6774	60.6774
-19.1	19.1	60.9968	60.9968	60.9968
-19.2	19.2	61.3161	61.3161	61.3161
-19.3	19.3	61.6355	61.6355	61.6355
-19.4	19.4	61.9548	61.9548	61.9548
-19.5	19.5	62.2742	62.2742	62.2742
-19.6	19.6	62.5935	62.5935	62.5935
-19.7	19.7	62.9129	62.9129	62.9129
-19.8	19.8	63.2323	63.2323	63.2323
-19.9	19.9	63.5516	63.5516	63.5516
-20.0	20.0	63.871	63.871	63.871
-20.1	20.1	64.1903	64.1903	64.1903
-20.2	20.2	64.5097	64.5097	64.5097
-20.3	20.3	64.829	64.829	64.829
-20.4	20.4	65.1484	65.1484	65.1484
-20.5	20.5	65.4677	65.4677	65.4677
-20.6	20.6	65.7871	65.7871	65.7871
-20.7	20.7	66.1065	66.1065	66.1065
-20.8	20.8	66.4258	66.4258	66.4258
-20.9	20.9	66.7452	66.7452	66.7452
-21.0	21.0	67.0645	67.0645	67.0645
-21.1	21.1	67.3839	67.3839	67.3839
-21.2	21.2	67.7032	67.7032	67.7032
-21.3	21.3	68.0226	68.0226	68.0226
-21.4	21.4	68.3419	68.3419	68.3419
-21.5	21.5	68.6613	68.6613	68.6613
-21.6	21.6	68.9806	68.9806	68.9806
-21.7	21.7	69.3	69.3	69.3
-21.8	21.8	69.6194	69.6194	69.6194
-21.9	21.9	69.9387	69.9387	69.9387
-22.0	22.0	70.2581	70.2581	70.2581
-22.1	22.1	70.5774	70.5774	70.5774
-22.2	22.2	70.8968	70.8968	70.8968
-22.3	22.3	71.2161	71.2161	71.2161
-22.4	22.4	71.5355	71.5355	71.5355
-22.5	22.5	71.8548	71.8548	71.8548
-22.6	22.6	72.1742	72.1742	72.1742
-22.7	22.7	72.4935	72.4935	72.4935
-22.8	22.8	72.8129	72.8129	72.8129
-22.9	22.9	73.1323	73.1323	73.1323
-23.0	23.0	73.4516	73.4516	73.4516
-23.1	23.1	73.771	73.771	73.771
-23.2	23.2	74.0903	74.0903	74.0903
-23.3	23.3	74.4097	74.4097	74.4097
-23.4	23.4	74.729	74.729	74.729
-23.5	23.5	75.0484	75.0484	75.0484
-23.6	23.6	75.3677	75.3677	75.3677
-23.7	23.7	75.6871	75.6871	75.6871
-23.8	23.8	76.0065	76.0065	76.0065
-23.9	23.9	76.3258	76.3258	76.3258
-24.0	24.0	76.6452	76.6452	76.6452
-24.1	24.1	76.9645	76.9645	76.9645
-24.2	24.2	77.2839	77.2839	77.2839
-24.3	24.3	77.6032	77.6032	77.6032
-24.4	24.4	77.9226	77.9226	77.9226
-24.5	24.5	78.2419	78.2419	78.2419
-24.6	24.6	78.5613	78.5613	78.5613
-24.7	24.7	78.8806	78.8806	78.8806
-24.8	24.8	79.2	79.2	79.2
-24.9	24.9	79.5194	79.5194	79.5194
-25.0	25.0	79.8387	79.8387	79.8387
-25.1	25.1	80.1581	80.1581	80.1581
-25.2	25.2	80.4774	80.4774	80.4774
-25.3	25.3	80.7968	80.7968	80.7968
-25.4	25.4	81.1161	81.1161	81.1161
-25.5	25.5	81.4355	81.4355	81.4355
-25.6	25.6	81.7548	81.7548	81.7548
-25.7	25.7	82.0742	82.0742	82.0742
-25.8	25.8	82.3935	82.3935	82.3935
-25.9	25.9	82.7129	82.7129	82.7129
-26.0	26.0	83.0323	83.0323	83.0323
-26.1	26.1	83.3516	83.3516	83.3516
-26.2	26.2	83.671	83.671	83.671
-26.3	26.3	83.9903	83.9903	83.9903
-26.4	26.4	84.3097	84.3097	84.3097
-26.5	26.5	84.629	84.629	84.629
-26.6	26.6	84.9484	84.9484	84.9484
-26.7	26.7	85.2677	85.2677	85.2677
-26.8	26.8	85.5871	85.5871	85.5871
-26.9	26.9	85.9065	85.9065	85.9065
-27.0	27.0	86.2258	86.2258	86.2258
-27.1	27.1	86.5452	86.5452	86.5452
-27.2	27.2	86.8645	86.8645	86.8645
-27.3	27.3	87.1839	87.1839	87.1839
-27.4	27.4	87.5032	87.5032	87.5032
-27.5	27.5	87.8226	87.8226	87.8226
-27.6	27.6	88.1419	88.1419	88.1419
-27.7	27.7	88.4613	88.4613	88.4613
-27.8	27.8	88.7806	88.7806	88.7806
-27.9	27.9	89.1	89.1	89.1
-28.0	28.0	89.4194	89.4194	89.4194
-28.1	28.1	89.7387	89.7387	89.7387
-28.2	28.2	90.0581	90.0581	90.0581
-28.3	28.3	90.3774	90.3774	90.3774
-28.4	28.4	90.6968	90.6968	90.6968
-28.5	28.5	91.0161	91.0161	91.0161
-28.6	28.6	91.3355	91.3355	91.3355
-28.7	28.7	91.6548	91.6548	91.6548
-28.8	28.8	91.9742	91.9742	91.9742
-28.9	28.9	92.2935	92.2935	92.2935
-29.0	29.0	92.6129	92.6129	92.6129
-29.1	29.1	92.9323	92.9323	92.9323
-29.2	29.2	93.2516	93.2516	93.2516
-29.3	29.3	93.571	93.571	93.571
-29.4	29.4	93.8903	93.8903	93.8903
-29.5	29.5	94.2097	94.2097	94.2097
-29.6	29.6	94.529	94.529	94.529
-29.7	29.7	94.8484	94.8484	94.8484
-29.8	29.8	95.1677	95.1677	95.1677
-29.9	29.9	95.4871	95.4871	95.4871
-30.0	30.0	95.8065	95.8065	95.8065
-30.1	30.1	96.1258	96.1258	96.1258
-30.2	30.2	96.4452	96.4452	96.4452
-30.3	30.3	96.7645	96.7645	96.7645
-30.4	30.4	97.0839	97.0839	97.0839
-30.5	30.5	97.4032	97.4032	97.4032
-30.6	30.6	97.7226	97.7226	97.7226
-30.7	30.7	98.0419	98.0419	98.0419
-30.8	30.8	98.3613	98.3613	98.3613
-30.9	30.9	98.6806	98.6806	98.6806
-31.0	31.0	99	99	99
-31.1	31.1	99.3194	99.3194	99.3194
-31.2	31.2	99.6387	99.6387	99.6387
-31.3	31.3	99.9581	99.9581	99.9581
-31.4	31.4	100	100	100
-31.5	31.5	100	100	100
-31.6	31.6	100	100	100
-31.7	31.7	100	100	100
-31.8	31.8	100	100	100
-31.9	31.9	100	100	100
-32.0	32.0	100	100	100
-32.1	32.1	100	100	100
-32.2	32.2	100	100	100
-32.3	32.3	100	100	100
-32.4	32.4	100	100	100
-32.5	32.5	100	100	100
-32.6	32.6	100	100	100
-32.7	32.7	100	100	100
-32.8	32.8	100	100	100
-32.9	32.9	100	100	100
-33.0	33.0	100	100	100
-33.1	33.1	100	100	100
-33.2	33.2	100	100	100
-33.3	33.3	100	100	100
-33.4	33.4	100	100	100
-33.5	33.5	100	100	100
-33.6	33.6	100	100	100
-33.7	33.7	100	100	100
-33.8	33.8	100	100	100
-33.9	33.9	100	100	100
-34.0	34.0	100	100	100
-34.1	34.1	100	100	100
-34.2	34.2	100	100	100
-34.3	34.3	100	100	100
-34.4	34.4	100	100	100
-34.5	34.5	100	100	100
-34.6	34.6	100	100	100
-34.7	34.7	100	100	100
-34.8	34.8	100	100	100
-34.9	34.9	100	100	100
-35.0	35.0	100	100	100
-35.1	35.1	100	100	100
-35.2	35.2	100	100	100
-35.3	35.3	100	100	100
-35.4	35.4	100	100	100
-35.5	35.5	100	100	100
-35.6	35.6	100	100	100
-35.7	35.7	100	100	100
-35.8	35.8	100	100	100
-35.9	35.9	100	100	100
-36.0	36.0	100	100	100
-36.1	36.1	100	100	100
-36.2	36.2	100	100	100
-36.3	36.3	100	100	100
-36.4	36.4	100	100	100
-36.5	36.5	100	100	100
-36.6	36.6	100	100	100
-36.7	36.7	100	100	100
-36.8	36.8	100	100	100
-36.9	36.9	100	100	100
-37.0	37.0	100	100	100
-37.1	37.1	100	100	100
-37.2	37.2	100	100	100
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.267568	0.267568	0.253485
-0.2	0.2	0.535135	0.535135	0.50697
-0.3	0.3	0.802703	0.802703	0.760455
-0.4	0.4	1.07027	1.07027	1.01394
-0.5	0.5	1.33784	1.33784	1.26743
-0.6	0.6	1.60541	1.60541	1.52091
-0.7	0.7	1.87297	1.87297	1.7744
-0.8	0.8	2.14054	2.14054	2.02788
-0.9	0.9	2.40811	2.40811	2.28137
-1.0	1.0	2.67568	2.67568	2.53485
-1.1	1.1	2.94324	2.94324	2.78834
-1.2	1.2	3.21081	3.21081	3.04182
-1.3	1.3	3.47838	3.47838	3.29531
-1.4	1.4	3.74595	3.74595	3.54879
-1.5	1.5	4.01351	4.01351	3.80228
-1.6	1.6	4.28108	4.28108	4.05576
-1.7	1.7	4.54865	4.54865	4.30925
-1.8	1.8	4.81622	4.81622	4.56273
-1.9	1.9	5.08378	5.08378	4.81622
-2.0	2.0	5.35135	5.35135	5.0697
-2.1	2.1	5.61892	5.61892	5.32319
-2.2	2.2	5.88649	5.88649	5.57667
-2.3	2.3	6.15405	6.15405	5.83016
-2.4	2.4	6.42162	6.42162	6.08364
-2.5	2.5	6.68919	6.68919	6.33713
-2.6	2.6	6.95676	6.95676	6.59061
-2.7	2.7	7.22432	7.22432	6.8441
-2.8	2.8	7.49189	7.49189	7.09758
-2.9	2.9	7.75946	7.75946	7.35107
-3.0	3.0	8.02703	8.02703	7.60455
-3.1	3.1	8.29459	8.29459	7.85804
-3.2	3.2	8.56216	8.56216	8.11152
-3.3	3.3	8.82973	8.82973	8.36501
-3.4	3.4	9.0973	9.0973	8.61849
-3.5	3.5	9.36486	9.36486	8.87198
-3.6	3.6	9.63243	9.63243	9.12546
-3.7	3.7	9.9	9.9	9.37895
-3.8	3.8	10.1676	10.1676	9.63243
-3.9	3.9	10.4351	10.4351	9.88592
-4.0	4.0	10.7027	10.7027	10.1394
-4.1	4.1	10.9703	10.9703	10.3929
-4.2	4.2	11.2378	11.2378	10.6464
-4.3	4.3	11.5054	11.5054	10.8999
-4.4	4.4	11.773	11.773	11.1533
-4.5	4.5	12.0405	12.0405	11.4068
-4.6	4.6	12.3081	12.3081	11.6603
-4.7	4.7	12.5757	12.5757	11.9138
-4.8	4.8	12.8432	12.8432	12.1673
-4.9	4.9	13.1108	13.1108	12.4208
-5.0	5.0	13.3784	13.3784	12.6743
-5.1	5.1	13.6459	13.6459	12.9277
-5.2	5.2	13.9135	13.9135	13.1812
-5.3	5.3	14.1811	14.1811	13.4347
-5.4	5.4	14.4486	14.4486	13.6882
-5.5	5.5	14.7162	14.7162	13.9417
-5.6	5.6	14.9838	14.9838	14.1952
-5.7	5.7	15.2514	15.2514	14.4486
-5.8	5.8	15.5189	15.5189	14.7021
-5.9	5.9	15.7865	15.7865	14.9556
-6.0	6.0	16.0541	16.0541	15.2091
-6.1	6.1	16.3216	16.3216	15.4626
-6.2	6.2	16.5892	16.5892	15.7161
-6.3	6.3	16.8568	16.8568	15.9696
-6.4	6.4	17.1243	17.1243	16.223
-6.5	6.5	17.3919	17.3919	16.4765
-6.6	6.6	17.6595	17.6595	16.73
-6.7	6.7	17.927	17.927	16.9835
-6.8	6.8	18.1946	18.1946	17.237
-6.9	6.9	18.4622	18.4622	17.4905
-7.0	7.0	18.7297	18.7297	17.744
-7.1	7.1	18.9973	18.9973	17.9974
-7.2	7.2	19.2649	19.2649	18.2509
-7.3	7.3	19.5324	19.5324	18.5044
-7.4	7.4	19.8	19.8	18.7579
-7.5	7.5	20.0676	20.0676	19.0114
-7.6	7.6	20.3351	20.3351	19.2649
-7.7	7.7	20.6027	20.6027	19.5183
-7.8	7.8	20.8703	20.8703	19.7718
-7.9	7.9	21.1378	21.1378	20.0253
-8.0	8.0	21.4054	21.4054	20.2788
-8.1	8.1	21.673	21.673	20.5323
-8.2	8.2	21.9405	21.9405	20.7858
-8.3	8.3	22.2081	22.2081	21.0393
-8.4	8.4	22.4757	22.4757	21.2927
-8.5	8.5	22.7432	22.7432	21.5462
-8.6	8.6	23.0108	23.0108	21.7997
-8.7	8.7	23.2784	23.2784	22.0532
-8.8	8.8	23.5459	23.5459	22.3067
-8.9	8.9	23.8135	23.8135	22.5602
-9.0	9.0	24.0811	24.0811	22.8137
-9.1	9.1	24.3486	24.3486	23.0671
-9.2	9.2	24.6162	24.6162	23.3206
-9.3	9.3	24.8838	24.8838	23.5741
-9.4	9.4	25.1514	25.1514	23.8276
-9.5	9.5	25.4189	25.4189	24.0811
-9.6	9.6	25.6865	25.6865	24.3346
-9.7	9.7	25.9541	25.9541	24.5881
-9.8	9.8	26.2216	26.2216	24.8415
-9.9	9.9	26.4892	26.4892	25.095
-10.0	10.0	26.7568	26.7568	25.3485
-10.1	10.1	27.0243	27.0243	25.602
-10.2	10.2	27.2919	27.2919	25.8555
-10.3	10.3	27.5595	27.5595	26.109
-10.4	10.4	27.827	27.827	26.3624
-10.5	10.5	28.0946	28.0946	26.6159
-10.6	10.6	28.3622	28.3622	26.8694
-10.7	10.7	28.6297	28.6297	27.1229
-10.8	10.8	28.8973	28.8973	27.3764
-10.9	10.9	29.1649	29.1649	27.6299
-11.0	11.0	29.4324	29.4324	27.8834
-11.1	11.1	29.7	29.7	28.1368
-11.2	11.2	29.9676	29.9676	28.3903
-11.3	11.3	30.2351	30.2351	28.6438
-11.4	11.4	30.5027	30.5027	28.8973
-11.5	11.5	30.7703	30.7703	29.1508
-11.6	11.6	31.0378	31.0378	29.4043
-11.7	11.7	31.3054	31.3054	29.6578
-11.8	11.8	31.573	31.573	29.9112
-11.9	11.9	31.8405	31.8405	30.1647
-12.0	12.0	32.1081	32.1081	30.4182
-12.1	12.1	32.3757	32.3757	30.6717
-12.2	12.2	32.6432	32.6432	30.9252
-12.3	12.3	32.9108	32.9108	31.1787
-12.4	12.4	33.1784	33.1784	31.4321
-12.5	12.5	33.4459	33.4459	31.6856
-12.6	12.6	33.7135	33.7135	31.9391
-12.7	12.7	33.9811	33.9811	32.1926
-12.8	12.8	34.2486	34.2486	32.4461
-12.9	12.9	34.5162	34.5162	32.6996
-13.0	13.0	34.7838	34.7838	32.9531
-13.1	13.1	35.0514	35.0514	33.2065
-13.2	13.2	35.3189	35.3189	33.46
-13.3	13.3	35.5865	35.5865	33.7135
-13.4	13.4	35.8541	35.8541	33.967
-13.5	13.5	36.1216	36.1216	34.2205
-13.6	13.6	36.3892	36.3892	34.474
-13.7	13.7	36.6568	36.6568	34.7275
-13.8	13.8	36.9243	36.9243	34.9809
-13.9	13.9	37.1919	37.1919	35.2344
-14.0	14.0	37.4595	37.4595	35.4879
-14.1	14.1	37.727	37.727	35.7414
-14.2	14.2	37.9946	37.9946	35.9949
-14.3	14.3	38.2622	38.2622	36.2484
-14.4	14.4	38.5297	38.5297	36.5018
-14.5	14.5	38.7973	38.7973	36.7553
-14.6	14.6	39.0649	39.0649	37.0088
-14.7	14.7	39.3324	39.3324	37.2623
-14.8	14.8	39.6	39.6	37.5158
-14.9	14.9	39.8676	39.8676	37.7693
-15.0	15.0	40.1351	40.1351	38.0228
-15.1	15.1	40.4027	40.4027	38.2762
-15.2	15.2	40.6703	40.6703	38.5297
-15.3	15.3	40.9378	40.9378	38.7832
-15.4	15.4	41.2054	41.2054	39.0367
-15.5	15.5	41.473	41.473	39.2902
-15.6	15.6	41.7405	41.7405	39.5437
-15.7	15.7	42.0081	42.0081	39.7972
-15.8	15.8	42.2757	42.2757	40.0506
-15.9	15.9	42.5432	42.5432	40.3041
-16.0	16.0	42.8108	42.8108	40.5576
-16.1	16.1	43.0784	43.0784	40.8111
-16.2	16.2	43.3459	43.3459	41.0646
-16.3	16.3	43.6135	43.6135	41.3181
-16.4	16.4	43.8811	43.8811	41.5716
-16.5	16.5	44.1486	44.1486	41.825
-16.6	16.6	44.4162	44.4162	42.0785
-16.7	16.7	44.6838	44.6838	42.332
-16.8	16.8	44.9514	44.9514	42.5855
-16.9	16.9	45.2189	45.2189	42.839
-17.0	17.0	45.4865	45.4865	43.0925
-17.1	17.1	45.7541	45.7541	43.3459
-17.2	17.2	46.0216	46.0216	43.5994
-17.3	17.3	46.2892	46.2892	43.8529
-17.4	17.4	46.5568	46.5568	44.1064
-17.5	17.5	46.8243	46.8243	44.3599
-17.6	17.6	47.0919	47.0919	44.6134
-17.7	17.7	47.3595	47.3595	44.8669
-17.8	17.8	47.627	47.627	45.1203
-17.9	17.9	47.8946	47.8946	45.3738
-18.0	18.0	48.1622	48.1622	45.6273
-18.1	18.1	48.4297	48.4297	45.8808
-18.2	18.2	48.6973	48.6973	46.1343
-18.3	18.3	48.9649	48.9649	46.3878
-18.4	18.4	49.2324	49.2324	46.6413
-18.5	18.5	49.5	49.5	46.8947
-18.6	18.6	49.7676	49.7676	47.1482
-18.7	18.7	50.0351	50.0351	47.4017
-18.8	18.8	50.3027	50.3027	47.6552
-18.9	18.9	50.5703	50.5703	47.9087
-19.0	19.0	50.8378	50.8378	48.1622
-19.1	19.1	51.1054	51.1054	48.4156
-19.2	19.2	51.373	51.373	48.6691
-19.3	19.3	51.6405	51.6405	48.9226
-19.4	19.4	51.9081	51.9081	49.1761
-19.5	19.5	52.1757	52.1757	49.4296
-19.6	19.6	52.4432	52.4432	49.6831
-19.7	19.7	52.7108	52.7108	49.9366
-19.8	19.8	52.9784	52.9784	50.19
-19.9	19.9	53.2459	53.2459	50.4435
-20.0	20.0	53.5135	53.5135	50.697
-20.1	20.1	53.7811	53.7811	50.9505
-20.2	20.2	54.0486	54.0486	51.204
-20.3	20.3	54.3162	54.3162	51.4575
-20.4	20.4	54.5838	54.5838	51.711
-20.5	20.5	54.8514	54.8514	51.9644
-20.6	20.6	55.1189	55.1189	52.2179
-20.7	20.7	55.3865	55.3865	52.4714
-20.8	20.8	55.6541	55.6541	52.7249
-20.9	20.9	55.9216	55.9216	52.9784
-21.0	21.0	56.1892	56.1892	53.2319
-21.1	21.1	56.4568	56.4568	53.4853
-21.2	21.2	56.7243	56.7243	53.7388
-21.3	21.3	56.9919	56.9919	53.9923
-21.4	21.4	57.2595	57.2595	54.2458
-21.5	21.5	57.527	57.527	54.4993
-21.6	21.6	57.7946	57.7946	54.7528
-21.7	21.7	58.0622	58.0622	55.0063
-21.8	21.8	58.3297	58.3297	55.2597
-21.9	21.9	58.5973	58.5973	55.5132
-22.0	22.0	58.8649	58.8649	55.7667
-22.1	22.1	59.1324	59.1324	56.0202
-22.2	22.2	59.4	59.4	56.2737
-22.3	22.3	59.6676	59.6676	56.5272
-22.4	22.4	59.9351	59.9351	56.7807
-22.5	22.5	60.2027	60.2027	57.0341
-22.6	22.6	60.4703	60.4703	57.2876
-22.7	22.7	60.7378	60.7378	57.5411
-22.8	22.8	61.0054	61.0054	57.7946
-22.9	22.9	61.273	61.273	58.0481
-23.0	23.0	61.5405	61.5405	58.3016
-23.1	23.1	61.8081	61.8081	58.555
-23.2	23.2	62.0757	62.0757	58.8085
-23.3	23.3	62.3432	62.3432	59.062
-23.4	23.4	62.6108	62.6108	59.3155
-23.5	23.5	62.8784	62.8784	59.569
-23.6	23.6	63.1459	63.1459	59.8225
-23.7	23.7	63.4135	63.4135	60.076
-23.8	23.8	63.6811	63.6811	60.3294
-23.9	23.9	63.9486	63.9486	60.5829
-24.0	24.0	64.2162	64.2162	60.8364
-24.1	24.1	64.4838	64.4838	61.0899
-24.2	24.2	64.7514	64.7514	61.3434
-24.3	24.3	65.0189	65.0189	61.5969
-24.4	24.4	65.2865	65.2865	61.8504
-24.5	24.5	65.5541	65.5541	62.1038
-24.6	24.6	65.8216	65.8216	62.3573
-24.7	24.7	66.0892	66.0892	62.6108
-24.8	24.8	66.3568	66.3568	62.8643
-24.9	24.9	66.6243	66.6243	63.1178
-25.0	25.0	66.8919	66.8919	63.3713
-25.1	25.1	67.1595	67.1595	63.6248
-25.2	25.2	67.427	67.427	63.8782
-25.3	25.3	67.6946	67.6946	64.1317
-25.4	25.4	67.9622	67.9622	64.3852
-25.5	25.5	68.2297	68.2297	64.6387
-25.6	25.6	68.4973	68.4973	64.8922
-25.7	25.7	68.7649	68.7649	65.1457
-25.8	25.8	69.0324	69.0324	65.3991
-25.9	25.9	69.3	69.3	65.6526
-26.0	26.0	69.5676	69.5676	65.9061
-26.1	26.1	69.8351	69.8351	66.1596
-26.2	26.2	70.1027	70.1027	66.4131
-26.3	26.3	70.3703	70.3703	66.6666
-26.4	26.4	70.6378	70.6378	66.9201
-26.5	26.5	70.9054	70.9054	67.1735
-26.6	26.6	71.173	71.173	67.427
-26.7	26.7	71.4405	71.4405	67.6805
-26.8	26.8	71.7081	71.7081	67.934
-26.9	26.9	71.9757	71.9757	68.1875
-27.0	27.0	72.2432	72.2432	68.441
-27.1	27.1	72.5108	72.5108	68.6945
-27.2	27.2	72.7784	72.7784	68.9479
-27.3	27.3	73.0459	73.0459	69.2014
-27.4	27.4	73.3135	73.3135	69.4549
-27.5	27.5	73.5811	73.5811	69.7084
-27.6	27.6	73.8486	73.8486	69.9619
-27.7	27.7	74.1162	74.1162	70.2154
-27.8	27.8	74.3838	74.3838	70.4688
-27.9	27.9	74.6514	74.6514	70.7223
-28.0	28.0	74.9189	74.9189	70.9758
-28.1	28.1	75.1865	75.1865	71.2293
-28.2	28.2	75.4541	75.4541	71.4828
-28.3	28.3	75.7216	75.7216	71.7363
-28.4	28.4	75.9892	75.9892	71.9898
-28.5	28.5	76.2568	76.2568	72.2432
-28.6	28.6	76.5243	76.5243	72.4967
-28.7	28.7	76.7919	76.7919	72.7502
-28.8	28.8	77.0595	77.0595	73.0037
-28.9	28.9	77.327	77.327	73.2572
-29.0	29.0	77.5946	77.5946	73.5107
-29.1	29.1	77.8622	77.8622	73.7642
-29.2	29.2	78.1297	78.1297	74.0176
-29.3	29.3	78.3973	78.3973	74.2711
-29.4	29.4	78.6649	78.6649	74.5246
-29.5	29.5	78.9324	78.9324	74.7781
-29.6	29.6	79.2	79.2	75.0316
-29.7	29.7	79.4676	79.4676	75.2851
-29.8	29.8	79.7351	79.7351	75.5385
-29.9	29.9	80.0027	80.0027	75.792
-30.0	30.0	80.2703	80.2703	76.0455
-30.1	30.1	80.5378	80.5378	76.299
-30.2	30.2	80.8054	80.8054	76.5525
-30.3	30.3	81.073	81.073	76.806
-30.4	30.4	81.3405	81.3405	77.0595
-30.5	30.5	81.6081	81.6081	77.3129
-30.6	30.6	81.8757	81.8757	77.5664
-30.7	30.7	82.1432	82.1432	77.8199
-30.8	30.8	82.4108	82.4108	78.0734
-30.9	30.9	82.6784	82.6784	78.3269
-31.0	31.0	82.9459	82.9459	78.5804
-31.1	31.1	83.2135	83.2135	78.8339
-31.2	31.2	83.4811	83.4811	79.0873
-31.3	31.3	83.7486	83.7486	79.3408
-31.4	31.4	84.0162	84.0162	79.5943
-31.5	31.5	84.2838	84.2838	79.8478
-31.6	31.6	84.5514	84.5514	80.1013
-31.7	31.7	84.8189	84.8189	80.3548
-31.8	31.8	85.0865	85.0865	80.6083
-31.9	31.9	85.3541	85.3541	80.8617
-32.0	32.0	85.6216	85.6216	81.1152
-32.1	32.1	85.8892	85.8892	81.3687
-32.2	32.2	86.1568	86.1568	81.6222
-32.3	32.3	86.4243	86.4243	81.8757
-32.4	32.4	86.6919	86.6919	82.1292
-32.5	32.5	86.9595	86.9595	82.3826
-32.6	32.6	87.227	87.227	82.6361
-32.7	32.7	87.4946	87.4946	82.8896
-32.8	32.8	87.7622	87.7622	83.1431
-32.9	32.9	88.0297	88.0297	83.3966
-33.0	33.0	88.2973	88.2973	83.6501
-33.1	33.1	88.5649	88.5649	83.9036
-33.2	33.2	88.8324	88.8324	84.157
-33.3	33.3	89.1	89.1	84.4105
-33.4	33.4	89.3676	89.3676	84.664
-33.5	33.5	89.6351	89.6351	84.9175
-33.6	33.6	89.9027	89.9027	85.171
-33.7	33.7	90.1703	90.1703	85.4245
-33.8	33.8	90.4378	90.4378	85.678
-33.9	33.9	90.7054	90.7054	85.9314
-34.0	34.0	90.973	90.973	86.1849
-34.1	34.1	91.2405	91.2405	86.4384
-34.2	34.2	91.5081	91.5081	86.6919
-34.3	34.3	91.7757	91.7757	86.9454
-34.4	34.4	92.0432	92.0432	87.1989
-34.5	34.5	92.3108	92.3108	87.4523
-34.6	34.6	92.5784	92.5784	87.7058
-34.7	34.7	92.8459	92.8459	87.9593
-34.8	34.8	93.1135	93.1135	88.2128
-34.9	34.9	93.3811	93.3811	88.4663
-35.0	35.0	93.6486	93.6486	88.7198
-35.1	35.1	93.9162	93.9162	88.9733
-35.2	35.2	94.1838	94.1838	89.2267
-35.3	35.3	94.4514	94.4514	89.4802
-35.4	35.4	94.7189	94.7189	89.7337
-35.5	35.5	94.9865	94.9865	89.9872
-35.6	35.6	95.2541	95.2541	90.2407
-35.7	35.7	95.5216	95.5216	90.4942
-35.8	35.8	95.7892	95.7892	90.7477
-35.9	35.9	96.0568	96.0568	91.0011
-36.0	36.0	96.3243	96.3243	91.2546
-36.1	36.1	96.5919	96.5919	91.5081
-36.2	36.2	96.8595	96.8595	91.7616
-36.3	36.3	97.127	97.127	92.0151
-36.4	36.4	97.3946	97.3946	92.2686
-36.5	36.5	97.6622	97.6622	92.522
-36.6	36.6	97.9297	97.9297	92.7755
-36.7	36.7	98.1973	98.1973	93.029
-36.8	36.8	98.4649	98.4649	93.2825
-36.9	36.9	98.7324	98.7324	93.536
-37.0	37.0	99	99	93.7895
-37.1	37.1	99.2676	99.2676	94.043
-37.2	37.2	99.5351	99.5351	94.2964
-37.3	37.3	99.8027	99.8027	94.5499
-37.4	37.4	100	100	94.8034
-37.5	37.5	100	100	95.0569
-37.6	37.6	100	100	95.3104
-37.7	37.7	100	100	95.5639
-37.8	37.8	100	100	95.8174
-37.9	37.9	100	100	96.0708
-38.0	38.0	100	100	96.3243
-38.1	38.1	100	100	96.5778
-38.2	38.2	100	100	96.8313
-38.3	38.3	100	100	97.0848
-38.4	38.4	100	100	97.2987
-38.5	38.5	100	100	97.3077
-38.6	38.6	100	100	97.3166
-38.7	38.7	100	100	97.3255
-38.8	38.8	100	100	97.3344
-38.9	38.9	100	100	97.3433
-39.0	39.0	100	100	97.3523
-39.1	39.1	100	100	97.3612
-39.2	39.2	100	100	97.3701
-39.3	39.3	100	100	97.379
-39.4	39.4	100	100	97.3879
-39.5	39.5	100	100	97.3968
-39.6	39.6	100	100	97.4058
-39.7	39.7	100	100	97.4147
-39.8	39.8	100	100	97.4236
-39.9	39.9	100	100	97.4325
-40.0	40.0	100	100	97.4414
-40.1	40.1	100	100	97.4504
-40.2	40.2	100	100	97.4593
-40.3	40.3	100	100	97.4682
-40.4	40.4	100	100	97.4771
-40.5	40.5	100	100	97.486
-40.6	40.6	100	100	97.495
-40.7	40.7	100	100	97.5039
-40.8	40.8	100	100	97.5128
-40.9	40.9	100	100	97.5217
-41.0	41.0	100	100	97.5306
-41.1	41.1	100	100	97.5395
-41.2	41.2	100	100	97.5485
-41.3	41.3	100	100	97.5574
-41.4	41.4	100	100	97.5663
-41.5	41.5	100	100	97.5752
-41.6	41.6	100	100	97.5841
-41.7	41.7	100	100	97.5931
-41.8	41.8	100	100	97.602
-41.9	41.9	100	100	97.6109
-42.0	42.0	100	100	97.6198
-42.1	42.1	100	100	97.6287
-42.2	42.2	100	100	97.6377
-42.3	42.3	100	100	97.6466
-42.4	42.4	100	100	97.6555
-42.5	42.5	100	100	97.6644
-42.6	42.6	100	100	97.6733
-42.7	42.7	100	100	97.6823
-42.8	42.8	100	100	97.6912
-42.9	42.9	100	100	97.7001
-43.0	43.0	100	100	97.709
-43.1	43.1	100	100	97.7179
-43.2	43.2	100	100	97.7268
-43.3	43.3	100	100	97.7358
-43.4	43.4	100	100	97.7447
-43.5	43.5	100	100	97.7536
-43.6	43.6	100	100	97.7625
-43.7	43.7	100	100	97.7714
-43.8	43.8	100	100	97.7804
-43.9	43.9	100	100	97.7893
-44.0	44.0	100	100	97.7982
-44.1	44.1	100	100	97.8071
-44.2	44.2	100	100	97.816
-44.3	44.3	100	100	97.825
-44.4	44.4	100	100	97.8339
-44.5	44.5	100	100	97.8428
-44.6	44.6	100	100	97.8517
-44.7	44.7	100	100	97.8606
-44.8	44.8	100	100	97.8695
-44.9	44.9	100	100	97.8785
-45.0	45.0	100	100	97.8874
-45.1	45.1	100	100	97.8963
-45.2	45.2	100	100	97.9052
-45.3	45.3	100	100	97.9141
-45.4	45.4	100	100	97.9231
-45.5	45.5	100	100	97.932
-45.6	45.6	100	100	97.9409
-45.7	45.7	100	100	97.9498
-45.8	45.8	100	100	97.9587
-45.9	45.9	100	100	97.9677
-46.0	46.0	100	100	97.9766
-46.1	46.1	100	100	97.9855
-46.2	46.2	100	100	97.9944
-46.3	46.3	100	100	98.0033
-46.4	46.4	100	100	98.0123
-46.5	46.5	100	100	98.0212
-46.6	46.6	100	100	98.0301
-46.7	46.7	100	100	98.039
-46.8	46.8	100	100	98.0479
-46.9	46.9	100	100	98.0568
-47.0	47.0	100	100	98.0658
-47.1	47.1	100	100	98.0747
-47.2	47.2	100	100	98.0836
-47.3	47.3	100	100	98.0925
-47.4	47.4	100	100	98.1014
-47.5	47.5	100	100	98.1104
-47.6	47.6	100	100	98.1193
-47.7	47.7	100	100	98.1282
-47.8	47.8	100	100	98.1371
-47.9	47.9	100	100	98.146
-48.0	48.0	100	100	98.155
-48.1	48.1	100	100	98.1639
-48.2	48.2	100	100	98.1728
-48.3	48.3	100	100	98.1817
-48.4	48.4	100	100	98.1906
-48.5	48.5	100	100	98.1995
-48.6	48.6	100	100	98.2085
-48.7	48.7	100	100	98.2174
-48.8	48.8	100	100	98.2263
-48.9	48.9	100	100	98.2352
-49.0	49.0	100	100	98.2441
-49.1	49.1	100	100	98.2531
-49.2	49.2	100	100	98.262
-49.3	49.3	100	100	98.2709
-49.4	49.4	100	100	98.2798
-49.5	49.5	100	100	98.2887
-49.6	49.6	100	100	98.2977
-49.7	49.7	100	100	98.3066
-49.8	49.8	100	100	98.3155
-49.9	49.9	100	100	98.3244
-50.0	50.0	100	100	98.3333
-50.1	50.1	100	100	98.3423
-50.2	50.2	100	100	98.3512
-50.3	50.3	100	100	98.3601
-50.4	50.4	100	100	98.369
-50.5	50.5	100	100	98.3779
-50.6	50.6	100	100	98.3868
-50.7	50.7	100	100	98.3958
-50.8	50.8	100	100	98.4047
-50.9	50.9	100	100	98.4136
-51.0	51.0	100	100	98.4225
-51.1	51.1	100	100	98.4314
-51.2	51.2	100	100	98.4404
-51.3	51.3	100	100	98.4493
-51.4	51.4	100	100	98.4582
-51.5	51.5	100	100	98.4671
-51.6	51.6	100	100	98.476
-51.7	51.7	100	100	98.485
-51.8	51.8	100	100	98.4939
-51.9	51.9	100	100	98.5028
-52.0	52.0	100	100	98.5117
-52.1	52.1	100	100	98.5206
-52.2	52.2	100	100	98.5295
-52.3	52.3	100	100	98.5385
-52.4	52.4	100	100	98.5474
-52.5	52.5	100	100	98.5563
-52.6	52.6	100	100	98.5652
-52.7	52.7	100	100	98.5741
-52.8	52.8	100	100	98.5831
-52.9	52.9	100	100	98.592
-53.0	53.0	100	100	98.6009
-53.1	53.1	100	100	98.6098
-53.2	53.2	100	100	98.6187
-53.3	53.3	100	100	98.6277
-53.4	53.4	100	100	98.6366
-53.5	53.5	100	100	98.6455
-53.6	53.6	100	100	98.6544
-53.7	53.7	100	100	98.6633
-53.8	53.8	100	100	98.6723
-53.9	53.9	100	100	98.6812
-54.0	54.0	100	100	98.6901
-54.1	54.1	100	100	98.699
-54.2	54.2	100	100	98.7079
-54.3	54.3	100	100	98.7168
-54.4	54.4	100	100	98.7258
-54.5	54.5	100	100	98.7347
-54.6	54.6	100	100	98.7436
-54.7	54.7	100	100	98.7525
-54.8	54.8	100	100	98.7614
-54.9	54.9	100	100	98.7704
-55.0	55.0	100	100	98.7793
-55.1	55.1	100	100	98.7882
-55.2	55.2	100	100	98.7971
-55.3	55.3	100	100	98.806
-55.4	55.4	100	100	98.815
-55.5	55.5	100	100	98.8239
-55.6	55.6	100	100	98.8328
-55.7	55.7	100	100	98.8417
-55.8	55.8	100	100	98.8506
-55.9	55.9	100	100	98.8595
-56.0	56.0	100	100	98.8685
-56.1	56.1	100	100	98.8774
-56.2	56.2	100	100	98.8863
-56.3	56.3	100	100	98.8952
-56.4	56.4	100	100	98.9041
-56.5	56.5	100	100	98.9131
-56.6	56.6	100	100	98.922
-56.7	56.7	100	100	98.9309
-56.8	56.8	100	100	98.9398
-56.9	56.9	100	100	98.9487
-57.0	57.0	100	100	98.9577
-57.1	57.1	100	100	98.9666
-57.2	57.2	100	100	98.9755
-57.3	57.3	100	100	98.9844
-57.4	57.4	100	100	98.9933
-57.5	57.5	100	100	99.0023
-57.6	57.6	100	100	99.0112
-57.7	57.7	100	100	99.0201
-57.8	57.8	100	100	99.029
-57.9	57.9	100	100	99.0379
-58.0	58.0	100	100	99.0468
-58.1	58.1	100	100	99.0558
-58.2	58.2	100	100	99.0647
-58.3	58.3	100	100	99.0736
-58.4	58.4	100	100	99.0825
-58.5	58.5	100	100	99.0914
-58.6	58.6	100	100	99.1004
-58.7	58.7	100	100	99.1093
-58.8	58.8	100	100	99.1182
-58.9	58.9	100	100	99.1271
-59.0	59.0	100	100	99.136
-59.1	59.1	100	100	99.145
-59.2	59.2	100	100	99.1539
-59.3	59.3	100	100	99.1628
-59.4	59.4	100	100	99.1717
-59.5	59.5	100	100	99.1806
-59.6	59.6	100	100	99.1895
-59.7	59.7	100	100	99.1985
-59.8	59.8	100	100	99.2074
-59.9	59.9	100	100	99.2163
-60.0	60.0	100	100	99.2252
-60.1	60.1	100	100	99.2341
-60.2	60.2	100	100	99.2431
-60.3	60.3	100	100	99.252
-60.4	60.4	100	100	99.2609
-60.5	60.5	100	100	99.2698
-60.6	60.6	100	100	99.2787
-60.7	60.7	100	100	99.2877
-60.8	60.8	100	100	99.2966
-60.9	60.9	100	100	99.3055
-61.0	61.0	100	100	99.3144
-61.1	61.1	100	100	99.3233
-61.2	61.2	100	100	99.3323
-61.3	61.3	100	100	99.3412
-61.4	61.4	100	100	99.3501
-61.5	61.5	100	100	99.359
-61.6	61.6	100	100	99.3679
-61.7	61.7	100	100	99.3768
-61.8	61.8	100	100	99.3858
-61.9	61.9	100	100	99.3947
-62.0	62.0	100	100	99.4036
-62.1	62.1	100	100	99.4125
-62.2	62.2	100	100	99.4214
-62.3	62.3	100	100	99.4304
-62.4	62.4	100	100	99.4393
-62.5	62.5	100	100	99.4482
-62.6	62.6	100	100	99.4571
-62.7	62.7	100	100	99.466
-62.8	62.8	100	100	99.475
-62.9	62.9	100	100	99.4839
-63.0	63.0	100	100	99.4928
-63.1	63.1	100	100	99.5017
-63.2	63.2	100	100	99.5106
-63.3	63.3	100	100	99.5195
-63.4	63.4	100	100	99.5285
-63.5	63.5	100	100	99.5374
-63.6	63.6	100	100	99.5463
-63.7	63.7	100	100	99.5552
-63.8	63.8	100	100	99.5641
-63.9	63.9	100	100	99.5731
-64.0	64.0	100	100	99.582
-64.1	64.1	100	100	99.5909
-64.2	64.2	100	100	99.5998
-64.3	64.3	100	100	99.6087
-64.4	64.4	100	100	99.6177
-64.5	64.5	100	100	99.6266
-64.6	64.6	100	100	99.6355
-64.7	64.7	100	100	99.6444
-64.8	64.8	100	100	99.6533
-64.9	64.9	100	100	99.6623
-65.0	65.0	100	100	99.6712
-65.1	65.1	100	100	99.6801
-65.2	65.2	100	100	99.689
-65.3	65.3	100	100	99.6979
-65.4	65.4	100	100	99.7068
-65.5	65.5	100	100	99.7158
-65.6	65.6	100	100	99.7247
-65.7	65.7	100	100	99.7336
-65.8	65.8	100	100	99.7425
-65.9	65.9	100	100	99.7514
-66.0	66.0	100	100	99.7604
-66.1	66.1	100	100	99.7693
-66.2	66.2	100	100	99.7782
-66.3	66.3	100	100	99.7871
-66.4	66.4	100	100	99.796
-66.5	66.5	100	100	99.805
-66.6	66.6	100	100	99.8139
-66.7	66.7	100	100	99.8228
-66.8	66.8	100	100	99.8317
-66.9	66.9	100	100	99.8406
-67.0	67.0	100	100	99.8495
-67.1	67.1	100	100	99.8585
-67.2	67.2	100	100	99.8674
-67.3	67.3	100	100	99.8763
-67.4	67.4	100	100	99.8852
-67.5	67.5	100	100	99.8941
-67.6	67.6	100	100	99.9031
-67.7	67.7	100	100	99.912
-67.8	67.8	100	100	99.9209
-67.9	67.9	100	100	99.9298
-68.0	68.0	100	100	99.9387
-68.1	68.1	100	100	99.9477
-68.2	68.2	100	100	99.9566
-68.3	68.3	100	100	99.9655
-68.4	68.4	100	100	99.9744
-68.5	68.5	100	100	99.9833
-68.6	68.6	100	100	99.9923
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.30871
-0.2	0.2	0.63871	0.63871	0.617419
-0.3	0.3	0.958065	0.958065	0.926129
-0.4	0.4	1.27742	1.27742	1.23484
-0.5	0.5	1.59677	1.59677	1.54355
-0.6	0.6	1.91613	1.91613	1.85226
-0.7	0.7	2.23548	2.23548	2.16097
-0.8	0.8	2.55484	2.55484	2.46968
-0.9	0.9	2.87419	2.87419	2.77839
-1.0	1.0	3.19355	3.19355	3.0871
-1.1	1.1	3.5129	3.5129	3.39581
-1.2	1.2	3.83226	3.83226	3.70452
-1.3	1.3	4.15161	4.15161	4.01323
-1.4	1.4	4.47097	4.47097	4.32194
-1.5	1.5	4.79032	4.79032	4.63065
-1.6	1.6	5.10968	5.10968	4.93935
-1.7	1.7	5.42903	5.42903	5.24806
-1.8	1.8	5.74839	5.74839	5.55677
-1.9	1.9	6.06774	6.06774	5.86548
-2.0	2.0	6.3871	6.3871	6.17419
-2.1	2.1	6.70645	6.70645	6.4829
-2.2	2.2	7.02581	7.02581	6.79161
-2.3	2.3	7.34516	7.34516	7.10032
-2.4	2.4	7.66452	7.66452	7.40903
-2.5	2.5	7.98387	7.98387	7.71774
-2.6	2.6	8.30323	8.30323	8.02645
-2.7	2.7	8.62258	8.62258	8.33516
-2.8	2.8	8.94194	8.94194	8.64387
-2.9	2.9	9.26129	9.26129	8.95258
-3.0	3.0	9.58065	9.58065	9.26129
-3.1	3.1	9.9	9.9	9.57
-3.2	3.2	10.2194	10.2194	9.87871
-3.3	3.3	10.5387	10.5387	10.1874
-3.4	3.4	10.8581	10.8581	10.4961
-3.5	3.5	11.1774	11.1774	10.8048
-3.6	3.6	11.4968	11.4968	11.1135
-3.7	3.7	11.8161	11.8161	11.4223
-3.8	3.8	12.1355	12.1355	11.731
-3.9	3.9	12.4548	12.4548	12.0397
-4.0	4.0	12.7742	12.7742	12.3484
-4.1	4.1	13.0935	13.0935	12.6571
-4.2	4.2	13.4129	13.4129	12.9658
-4.3	4.3	13.7323	13.7323	13.2745
-4.4	4.4	14.0516	14.0516	13.5832
-4.5	4.5	14.371	14.371	13.8919
-4.6	4.6	14.6903	14.6903	14.2006
-4.7	4.7	15.0097	15.0097	14.5094
-4.8	4.8	15.329	15.329	14.8181
-4.9	4.9	15.6484	15.6484	15.1268
-5.0	5.0	15.9677	15.9677	15.4355
-5.1	5.1	16.2871	16.2871	15.7442
-5.2	5.2	16.6065	16.6065	16.0529
-5.3	5.3	16.9258	16.9258	16.3616
-5.4	5.4	17.2452	17.2452	16.6703
-5.5	5.5	17.5645	17.5645	16.979
-5.6	5.6	17.8839	17.8839	17.2877
-5.7	5.7	18.2032	18.2032	17.5965
-5.8	5.8	18.5226	18.5226	17.9052
-5.9	5.9	18.8419	18.8419	18.2139
-6.0	6.0	19.1613	19.1613	18.5226
-6.1	6.1	19.4806	19.4806	18.8313
-6.2	6.2	19.8	19.8	19.14
-6.3	6.3	20.1194	20.1194	19.4487
-6.4	6.4	20.4387	20.4387	19.7574
-6.5	6.5	20.7581	20.7581	20.0661
-6.6	6.6	21.0774	21.0774	20.3748
-6.7	6.7	21.3968	21.3968	20.6835
-6.8	6.8	21.7161	21.7161	20.9923
-6.9	6.9	22.0355	22.0355	21.301
-7.0	7.0	22.3548	22.3548	21.6097
-7.1	7.1	22.6742	22.6742	21.9184
-7.2	7.2	22.9935	22.9935	22.2271
-7.3	7.3	23.3129	23.3129	22.5358
-7.4	7.4	23.6323	23.6323	22.8445
-7.5	7.5	23.9516	23.9516	23.1532
-7.6	7.6	24.271	24.271	23.4619
-7.7	7.7	24.5903	24.5903	23.7706
-7.8	7.8	24.9097	24.9097	24.0794
-7.9	7.9	25.229	25.229	24.3881
-8.0	8.0	25.5484	25.5484	24.6968
-8.1	8.1	25.8677	25.8677	25.0055
-8.2	8.2	26.1871	26.1871	25.3142
-8.3	8.3	26.5065	26.5065	25.6229
-8.4	8.4	26.8258	26.8258	25.9316
-8.5	8.5	27.1452	27.1452	26.2403
-8.6	8.6	27.4645	27.4645	26.549
-8.7	8.7	27.7839	27.7839	26.8577
-8.8	8.8	28.1032	28.1032	27.1665
-8.9	8.9	28.4226	28.4226	27.4752
-9.0	9.0	28.7419	28.7419	27.7839
-9.1	9.1	29.0613	29.0613	28.0926
-9.2	9.2	29.3806	29.3806	28.4013
-9.3	9.3	29.7	29.7	28.71
-9.4	9.4	30.0194	30.0194	29.0187
-9.5	9.5	30.3387	30.3387	29.3274
-9.6	9.6	30.6581	30.6581	29.6361
-9.7	9.7	30.9774	30.9774	29.9448
-9.8	9.8	31.2968	31.2968	30.2535
-9.9	9.9	31.6161	31.6161	30.5623
-10.0	10.0	31.9355	31.9355	30.871
-10.1	10.1	32.2548	32.2548	31.1797
-10.2	10.2	32.5742	32.5742	31.4884
-10.3	10.3	32.8935	32.8935	31.7971
-10.4	10.4	33.2129	33.2129	32.1058
-10.5	10.5	33.5323	33.5323	32.4145
-10.6	10.6	33.8516	33.8516	32.7232
-10.7	10.7	34.171	34.171	33.0319
-10.8	10.8	34.4903	34.4903	33.3406
-10.9	10.9	34.8097	34.8097	33.6494
-11.0	11.0	35.129	35.129	33.9581
-11.1	11.1	35.4484	35.4484	34.2668
-11.2	11.2	35.7677	35.7677	34.5755
-11.3	11.3	36.0871	36.0871	34.8842
-11.4	11.4	36.4065	36.4065	35.1929
-11.5	11.5	36.7258	36.7258	35.5016
-11.6	11.6	37.0452	37.0452	35.8103
-11.7	11.7	37.3645	37.3645	36.119
-11.8	11.8	37.6839	37.6839	36.4277
-11.9	11.9	38.0032	38.0032	36.7365
-12.0	12.0	38.3226	38.3226	37.0452
-12.1	12.1	38.6419	38.6419	37.3539
-12.2	12.2	38.9613	38.9613	37.6626
-12.3	12.3	39.2806	39.2806	37.9713
-12.4	12.4	39.6	39.6	38.28
-12.5	12.5	39.9194	39.9194	38.5887
-12.6	12.6	40.2387	40.2387	38.8974
-12.7	12.7	40.5581	40.5581	39.2061
-12.8	12.8	40.8774	40.8774	39.5148
-12.9	12.9	41.1968	41.1968	39.8235
-13.0	13.0	41.5161	41.5161	40.1323
-13.1	13.1	41.8355	41.8355	40.441
-13.2	13.2	42.1548	42.1548	40.7497
-13.3	13.3	42.4742	42.4742	41.0584
-13.4	13.4	42.7935	42.7935	41.3671
-13.5	13.5	43.1129	43.1129	41.6758
-13.6	13.6	43.4323	43.4323	41.9845
-13.7	13.7	43.7516	43.7516	42.2932
-13.8	13.8	44.071	44.071	42.6019
-13.9	13.9	44.3903	44.3903	42.9106
-14.0	14.0	44.7097	44.7097	43.2194
-14.1	14.1	45.029	45.029	43.5281
-14.2	14.2	45.3484	45.3484	43.8368
-14.3	14.3	45.6677	45.6677	44.1455
-14.4	14.4	45.9871	45.9871	44.4542
-14.5	14.5	46.3065	46.3065	44.7629
-14.6	14.6	46.6258	46.6258	45.0716
-14.7	14.7	46.9452	46.9452	45.3803
-14.8	14.8	47.2645	47.2645	45.689
-14.9	14.9	47.5839	47.5839	45.9977
-15.0	15.0	47.9032	47.9032	46.3065
-15.1	15.1	48.2226	48.2226	46.6152
-15.2	15.2	48.5419	48.5419	46.9239
-15.3	15.3	48.8613	48.8613	47.2326
-15.4	15.4	49.1806	49.1806	47.5413
-15.5	15.5	49.5	49.5	47.85
-15.6	15.6	49.8194	49.8194	48.1587
-15.7	15.7	50.1387	50.1387	48.4674
-15.8	15.8	50.4581	50.4581	48.7761
-15.9	15.9	50.7774	50.7774	49.0848
-16.0	16.0	51.0968	51.0968	49.3935
-16.1	16.1	51.4161	51.4161	49.7023
-16.2	16.2	51.7355	51.7355	50.011
-16.3	16.3	52.0548	52.0548	50.3197
-16.4	16.4	52.3742	52.3742	50.6284
-16.5	16.5	52.6935	52.6935	50.9371
-16.6	16.6	53.0129	53.0129	51.2458
-16.7	16.7	53.3323	53.3323	51.5545
-16.8	16.8	53.6516	53.6516	51.8632
-16.9	16.9	53.971	53.971	52.1719
-17.0	17.0	54.2903	54.2903	52.4806
-17.1	17.1	54.6097	54.6097	52.7894
-17.2	17.2	54.929	54.929	53.0981
-17.3	17.3	55.2484	55.2484	53.4068
-17.4	17.4	55.5677	55.5677	53.7155
-17.5	17.5	55.8871	55.8871	54.0242
-17.6	17.6	56.2065	56.2065	54.3329
-17.7	17.7	56.5258	56.5258	54.6416
-17.8	17.8	56.8452	56.8452	54.9503
-17.9	17.9	57.1645	57.1645	55.259
-18.0	18.0	57.4839	57.4839	55.5677
-18.1	18.1	57.8032	57.8032	55.8765
-18.2	18.2	58.1226	58.1226	56.1852
-18.3	18.3	58.4419	58.4419	56.4939
-18.4	18.4	58.7613	58.7613	56.8026
-18.5	18.5	59.0806	59.0806	57.1113
-18.6	18.6	59.4	59.4	57.42
-18.7	18.7	59.7194	59.7194	57.7287
-18.8	18.8	60.0387	60.0387	58.0374
-18.9	18.9	60.3581	60.3581	58.3461
-19.0	19.0	60.6774	60.6774	58.6548
-19.1	19.1	60.9968	60.9968	58.9635
-19.2	19.2	61.3161	61.3161	59.2723
-19.3	19.3	61.6355	61.6355	59.581
-19.4	19.4	61.9548	61.9548	59.8897
-19.5	19.5	62.2742	62.2742	60.1984
-19.6	19.6	62.5935	62.5935	60.5071
-19.7	19.7	62.9129	62.9129	60.8158
-19.8	19.8	63.2323	63.2323	61.1245
-19.9	19.9	63.5516	63.5516	61.4332
-20.0	20.0	63.871	63.871	61.7419
-20.1	20.1	64.1903	64.1903	62.0506
-20.2	20.2	64.5097	64.5097	62.3594
-20.3	20.3	64.829	64.829	62.6681
-20.4	20.4	65.1484	65.1484	62.9768
-20.5	20.5	65.4677	65.4677	63.2855
-20.6	20.6	65.7871	65.7871	63.5942
-20.7	20.7	66.1065	66.1065	63.9029
-20.8	20.8	66.4258	66.4258	64.2116
-20.9	20.9	66.7452	66.7452	64.5203
-21.0	21.0	67.0645	67.0645	64.829
-21.1	21.1	67.3839	67.3839	65.1377
-21.2	21.2	67.7032	67.7032	65.4465
-21.3	21.3	68.0226	68.0226	65.7552
-21.4	21.4	68.3419	68.3419	66.0639
-21.5	21.5	68.6613	68.6613	66.3726
-21.6	21.6	68.9806	68.9806	66.6813
-21.7	21.7	69.3	69.3	66.99
-21.8	21.8	69.6194	69.6194	67.2987
-21.9	21.9	69.9387	69.9387	67.6074
-22.0	22.0	70.2581	70.2581	67.9161
-22.1	22.1	70.5774	70.5774	68.2248
-22.2	22.2	70.8968	70.8968	68.5335
-22.3	22.3	71.2161	71.2161	68.8423
-22.4	22.4	71.5355	71.5355	69.151
-22.5	22.5	71.8548	71.8548	69.4597
-22.6	22.6	72.1742	72.1742	69.7684
-22.7	22.7	72.4935	72.4935	70.0771
-22.8	22.8	72.8129	72.8129	70.3858
-22.9	22.9	73.1323	73.1323	70.6945
-23.0	23.0	73.4516	73.4516	71.0032
-23.1	23.1	73.771	73.771	71.3119
-23.2	23.2	74.0903	74.0903	71.6206
-23.3	23.3	74.4097	74.4097	71.9294
-23.4	23.4	74.729	74.729	72.2381
-23.5	23.5	75.0484	75.0484	72.5468
-23.6	23.6	75.3677	75.3677	72.8555
-23.7	23.7	75.6871	75.6871	73.1642
-23.8	23.8	76.0065	76.0065	73.4729
-23.9	23.9	76.3258	76.3258	73.7816
-24.0	24.0	76.6452	76.6452	74.0903
-24.1	24.1	76.9645	76.9645	74.399
-24.2	24.2	77.2839	77.2839	74.7077
-24.3	24.3	77.6032	77.6032	75.0165
-24.4	24.4	77.9226	77.9226	75.3252
-24.5	24.5	78.2419	78.2419	75.6339
-24.6	24.6	78.5613	78.5613	75.9426
-24.7	24.7	78.8806	78.8806	76.2513
-24.8	24.8	79.2	79.2	76.56
-24.9	24.9	79.5194	79.5194	76.8687
-25.0	25.0	79.8387	79.8387	77.1774
-25.1	25.1	80.1581	80.1581	77.4861
-25.2	25.2	80.4774	80.4774	77.7948
-25.3	25.3	80.7968	80.7968	78.1035
-25.4	25.4	81.1161	81.1161	78.4123
-25.5	25.5	81.4355	81.4355	78.721
-25.6	25.6	81.7548	81.7548	79.0297
-25.7	25.7	82.0742	82.0742	79.3384
-25.8	25.8	82.3935	82.3935	79.6471
-25.9	25.9	82.7129	82.7129	79.9558
-26.0	26.0	83.0323	83.0323	80.2645
-26.1	26.1	83.3516	83.3516	80.5732
-26.2	26.2	83.671	83.671	80.8819
-26.3	26.3	83.9903	83.9903	81.1906
-26.4	26.4	84.3097	84.3097	81.4994
-26.5	26.5	84.629	84.629	81.8081
-26.6	26.6	84.9484	84.9484	82.1168
-26.7	26.7	85.2677	85.2677	82.4255
-26.8	26.8	85.5871	85.5871	82.7342
-26.9	26.9	85.9065	85.9065	83.0429
-27.0	27.0	86.2258	86.2258	83.3516
-27.1	27.1	86.5452	86.5452	83.6603
-27.2	27.2	86.8645	86.8645	83.969
-27.3	27.3	87.1839	87.1839	84.2777
-27.4	27.4	87.5032	87.5032	84.5865
-27.5	27.5	87.8226	87.8226	84.8952
-27.6	27.6	88.1419	88.1419	85.2039
-27.7	27.7	88.4613	88.4613	85.5126
-27.8	27.8	88.7806	88.7806	85.8213
-27.9	27.9	89.1	89.1	86.13
-28.0	28.0	89.4194	89.4194	86.4387
-28.1	28.1	89.7387	89.7387	86.7474
-28.2	28.2	90.0581	90.0581	87.0561
-28.3	28.3	90.3774	90.3774	87.3648
-28.4	28.4	90.6968	90.6968	87.6735
-28.5	28.5	91.0161	91.0161	87.9823
-28.6	28.6	91.3355	91.3355	88.291
-28.7	28.7	91.6548	91.6548	88.5997
-28.8	28.8	91.9742	91.9742	88.9084
-28.9	28.9	92.2935	92.2935	89.2171
-29.0	29.0	92.6129	92.6129	89.5258
-29.1	29.1	92.9323	92.9323	89.8345
-29.2	29.2	93.2516	93.2516	90.1432
-29.3	29.3	93.571	93.571	90.4519
-29.4	29.4	93.8903	93.8903	90.7606
-29.5	29.5	94.2097	94.2097	91.0694
-29.6	29.6	94.529	94.529	91.3781
-29.7	29.7	94.8484	94.8484	91.6868
-29.8	29.8	95.1677	95.1677	91.9955
-29.9	29.9	95.4871	95.4871	92.3042
-30.0	30.0	95.8065	95.8065	92.6129
-30.1	30.1	96.1258	96.1258	92.9216
-30.2	30.2	96.4452	96.4452	93.2303
-30.3	30.3	96.7645	96.7645	93.539
-30.4	30.4	97.0839	97.0839	93.5647
-30.5	30.5	97.4032	97.4032	93.5815
-30.6	30.6	97.7226	97.7226	93.5983
-30.7	30.7	98.0419	98.0419	93.6151
-30.8	30.8	98.3613	98.3613	93.6319
-30.9	30.9	98.6806	98.6806	93.6487
-31.0	31.0	99	99	93.6655
-31.1	31.1	99.3194	99.3194	93.6823
-31.2	31.2	99.6387	99.6387	93.6992
-31.3	31.3	99.9581	99.9581	93.716
-31.4	31.4	100	100	93.7328
-31.5	31.5	100	100	93.7496
-31.6	31.6	100	100	93.7664
-31.7	31.7	100	100	93.7832
-31.8	31.8	100	100	93.8
-31.9	31.9	100	100	93.8168
-32.0	32.0	100	100	93.8336
-32.1	32.1	100	100	93.8504
-32.2	32.2	100	100	93.8672
-32.3	32.3	100	100	93.884
-32.4	32.4	100	100	93.9008
-32.5	32.5	100	100	93.9177
-32.6	32.6	100	100	93.9345
-32.7	32.7	100	100	93.9513
-32.8	32.8	100	100	93.9681
-32.9	32.9	100	100	93.9849
-33.0	33.0	100	100	94.0017
-33.1	33.1	100	100	94.0185
-33.2	33.2	100	100	94.0353
-33.3	33.3	100	100	94.0521
-33.4	33.4	100	100	94.0689
-33.5	33.5	100	100	94.0857
-33.6	33.6	100	100	94.1025
-33.7	33.7	100	100	94.1194
-33.8	33.8	100	100	94.1362
-33.9	33.9	100	100	94.153
-34.0	34.0	100	100	94.1698
-34.1	34.1	100	100	94.1866
-34.2	34.2	100	100	94.2034
-34.3	34.3	100	100	94.2202
-34.4	34.4	100	100	94.237
-34.5	34.5	100	100	94.2538
-34.6	34.6	100	100	94.2706
-34.7	34.7	100	100	94.2874
-34.8	34.8	100	100	94.3042
-34.9	34.9	100	100	94.3211
-35.0	35.0	100	100	94.3379
-35.1	35.1	100	100	94.3547
-35.2	35.2	100	100	94.3715
-35.3	35.3	100	100	94.3883
-35.4	35.4	100	100	94.4051
-35.5	35.5	100	100	94.4219
-35.6	35.6	100	100	94.4387
-35.7	35.7	100	100	94.4555
-35.8	35.8	100	100	94.4723
-35.9	35.9	100	100	94.4891
-36.0	36.0	100	100	94.5059
-36.1	36.1	100	100	94.5228
-36.2	36.2	100	100	94.5396
-36.3	36.3	100	100	94.5564
-36.4	36.4	100	100	94.5732
-36.5	36.5	100	100	94.59
-36.6	36.6	100	100	94.6068
-36.7	36.7	100	100	94.6236
-36.8	36.8	100	100	94.6404
-36.9	36.9	100	100	94.6572
-37.0	37.0	100	100	94.674
-37.1	37.1	100	100	94.6908
-37.2	37.2	100	100	94.7076
-37.3	37.3	100	100	94.7244
-37.4	37.4	100	100	94.7413
-37.5	37.5	100	100	94.7581
-37.6	37.6	100	100	94.7749
-37.7	37.7	100	100	94.7917
-37.8	37.8	100	100	94.8085
-37.9	37.9	100	100	94.8253
-38.0	38.0	100	100	94.8421
-38.1	38.1	100	100	94.8589
-38.2	38.2	100	100	94.8757
-38.3	38.3	100	100	94.8925
-38.4	38.4	100	100	94.9093
-38.5	38.5	100	100	94.9261
-38.6	38.6	100	100	94.943
-38.7	38.7	100	100	94.9598
-38.8	38.8	100	100	94.9766
-38.9	38.9	100	100	94.9934
-39.0	39.0	100	100	95.0102
-39.1	39.1	100	100	95.027
-39.2	39.2	100	100	95.0438
-39.3	39.3	100	100	95.0606
-39.4	39.4	100	100	95.0774
-39.5	39.5	100	100	95.0942
-39.6	39.6	100	100	95.111
-39.7	39.7	100	100	95.1278
-39.8	39.8	100	100	95.1447
-39.9	39.9	100	100	95.1615
-40.0	40.0	100	100	95.1783
-40.1	40.1	100	100	95.1951
-40.2	40.2	100	100	95.2119
-40.3	40.3	100	100	95.2287
-40.4	40.4	100	100	95.2455
-40.5	40.5	100	100	95.2623
-40.6	40.6	100	100	95.2791
-40.7	40.7	100	100	95.2959
-40.8	40.8	100	100	95.3127
-40.9	40.9	100	100	95.3295
-41.0	41.0	100	100	95.3463
-41.1	41.1	100	100	95.3632
-41.2	41.2	100	100	95.38
-41.3	41.3	100	100	95.3968
-41.4	41.4	100	100	95.4136
-41.5	41.5	100	100	95.4304
-41.6	41.6	100	100	95.4472
-41.7	41.7	100	100	95.464
-41.8	41.8	100	100	95.4808
-41.9	41.9	100	100	95.4976
-42.0	42.0	100	100	95.5144
-42.1	42.1	100	100	95.5312
-42.2	42.2	100	100	95.548
-42.3	42.3	100	100	95.5649
-42.4	42.4	100	100	95.5817
-42.5	42.5	100	100	95.5985
-42.6	42.6	100	100	95.6153
-42.7	42.7	100	100	95.6321
-42.8	42.8	100	100	95.6489
-42.9	42.9	100	100	95.6657
-43.0	43.0	100	100	95.6825
-43.1	43.1	100	100	95.6993
-43.2	43.2	100	100	95.7161
-43.3	43.3	100	100	95.7329
-43.4	43.4	100	100	95.7497
-43.5	43.5	100	100	95.7666
-43.6	43.6	100	100	95.7834
-43.7	43.7	100	100	95.8002
-43.8	43.8	100	100	95.817
-43.9	43.9	100	100	95.8338
-44.0	44.0	100	100	95.8506
-44.1	44.1	100	100	95.8674
-44.2	44.2	100	100	95.8842
-44.3	44.3	100	100	95.901
-44.4	44.4	100	100	95.9178
-44.5	44.5	100	100	95.9346
-44.6	44.6	100	100	95.9514
-44.7	44.7	100	100	95.9683
-44.8	44.8	100	100	95.9851
-44.9	44.9	100	100	96.0019
-45.0	45.0	100	100	96.0187
-45.1	45.1	100	100	96.0355
-45.2	45.2	100	100	96.0523
-45.3	45.3	100	100	96.0691
-45.4	45.4	100	100	96.0859
-45.5	45.5	100	100	96.1027
-45.6	45.6	100	100	96.1195
-45.7	45.7	100	100	96.1363
-45.8	45.8	100	100	96.1531
-45.9	45.9	100	100	96.1699
-46.0	46.0	100	100	96.1868
-46.1	46.1	100	100	96.2036
-46.2	46.2	100	100	96.2204
-46.3	46.3	100	100	96.2372
-46.4	46.4	100	100	96.254
-46.5	46.5	100	100	96.2708
-46.6	46.6	100	100	96.2876
-46.7	46.7	100	100	96.3044
-46.8	46.8	100	100	96.3212
-46.9	46.9	100	100	96.338
-47.0	47.0	100	100	96.3548
-47.1	47.1	100	100	96.3716
-47.2	47.2	100	100	96.3885
-47.3	47.3	100	100	96.4053
-47.4	47.4	100	100	96.4221
-47.5	47.5	100	100	96.4389
-47.6	47.6	100	100	96.4557
-47.7	47.7	100	100	96.4725
-47.8	47.8	100	100	96.4893
-47.9	47.9	100	100	96.5061
-48.0	48.0	100	100	96.5229
-48.1	48.1	100	100	96.5397
-48.2	48.2	100	100	96.5565
-48.3	48.3	100	100	96.5733
-48.4	48.4	100	100	96.5902
-48.5	48.5	100	100	96.607
-48.6	48.6	100	100	96.6238
-48.7	48.7	100	100	96.6406
-48.8	48.8	100	100	96.6574
-48.9	48.9	100	100	96.6742
-49.0	49.0	100	100	96.691
-49.1	49.1	100	100	96.7078
-49.2	49.2	100	100	96.7246
-49.3	49.3	100	100	96.7414
-49.4	49.4	100	100	96.7582
-49.5	49.5	100	100	96.775
-49.6	49.6	100	100	96.7919
-49.7	49.7	100	100	96.8087
-49.8	49.8	100	100	96.8255
-49.9	49.9	100	100	96.8423
-50.0	50.0	100	100	96.8591
-50.1	50.1	100	100	96.8759
-50.2	50.2	100	100	96.8927
-50.3	50.3	100	100	96.9095
-50.4	50.4	100	100	96.9263
-50.5	50.5	100	100	96.9431
-50.6	50.6	100	100	96.9599
-50.7	50.7	100	100	96.9767
-50.8	50.8	100	100	96.9935
-50.9	50.9	100	100	97.0104
-51.0	51.0	100	100	97.0272
-51.1	51.1	100	100	97.044
-51.2	51.2	100	100	97.0608
-51.3	51.3	100	100	97.0776
-51.4	51.4	100	100	97.0944
-51.5	51.5	100	100	97.1112
-51.6	51.6	100	100	97.128
-51.7	51.7	100	100	97.1448
-51.8	51.8	100	100	97.1616
-51.9	51.9	100	100	97.1784
-52.0	52.0	100	100	97.1952
-52.1	52.1	100	100	97.2121
-52.2	52.2	100	100	97.2289
-52.3	52.3	100	100	97.2457
-52.4	52.4	100	100	97.2625
-52.5	52.5	100	100	97.2793
-52.6	52.6	100	100	97.2961
-52.7	52.7	100	100	97.3129
-52.8	52.8	100	100	97.3297
-52.9	52.9	100	100	97.3465
-53.0	53.0	100	100	97.3633
-53.1	53.1	100	100	97.3801
-53.2	53.2	100	100	97.3969
-53.3	53.3	100	100	97.4138
-53.4	53.4	100	100	97.4306
-53.5	53.5	100	100	97.4474
-53.6	53.6	100	100	97.4642
-53.7	53.7	100	100	97.481
-53.8	53.8	100	100	97.4978
-53.9	53.9	100	100	97.5146
-54.0	54.0	100	100	97.5314
-54.1	54.1	100	100	97.5482
-54.2	54.2	100	100	97.565
-54.3	54.3	100	100	97.5818
-54.4	54.4	100	100	97.5986
-54.5	54.5	100	100	97.6154
-54.6	54.6	100	100	97.6323
-54.7	54.7	100	100	97.6491
-54.8	54.8	100	100	97.6659
-54.9	54.9	100	100	97.6827
-55.0	55.0	100	100	97.6995
-55.1	55.1	100	100	97.7163
-55.2	55.2	100	100	97.7331
-55.3	55.3	100	100	97.7499
-55.4	55.4	100	100	97.7667
-55.5	55.5	100	100	97.7835
-55.6	55.6	100	100	97.8003
-55.7	55.7	100	100	97.8171
-55.8	55.8	100	100	97.834
-55.9	55.9	100	100	97.8508
-56.0	56.0	100	100	97.8676
-56.1	56.1	100	100	97.8844
-56.2	56.2	100	100	97.9012
-56.3	56.3	100	100	97.918
-56.4	56.4	100	100	97.9348
-56.5	56.5	100	100	97.9516
-56.6	56.6	100	100	97.9684
-56.7	56.7	100	100	97.9852
-56.8	56.8	100	100	98.002
-56.9	56.9	100	100	98.0188
-57.0	57.0	100	100	98.0357
-57.1	57.1	100	100	98.0525
-57.2	57.2	100	100	98.0693
-57.3	57.3	100	100	98.0861
-57.4	57.4	100	100	98.1029
-57.5	57.5	100	100	98.1197
-57.6	57.6	100	100	98.1365
-57.7	57.7	100	100	98.1533
-57.8	57.8	100	100	98.1701
-57.9	57.9	100	100	98.1869
-58.0	58.0	100	100	98.2037
-58.1	58.1	100	100	98.2205
-58.2	58.2	100	100	98.2374
-58.3	58.3	100	100	98.2542
-58.4	58.4	100	100	98.271
-58.5	58.5	100	100	98.2878
-58.6	58.6	100	100	98.3046
-58.7	58.7	100	100	98.3214
-58.8	58.8	100	100	98.3382
-58.9	58.9	100	100	98.355
-59.0	59.0	100	100	98.3718
-59.1	59.1	100	100	98.3886
-59.2	59.2	100	100	98.4054
-59.3	59.3	100	100	98.4222
-59.4	59.4	100	100	98.439
-59.5	59.5	100	100	98.4559
-59.6	59.6	100	100	98.4727
-59.7	59.7	100	100	98.4895
-59.8	59.8	100	100	98.5063
-59.9	59.9	100	100	98.5231
-60.0	60.0	100	100	98.5399
-60.1	60.1	100	100	98.5567
-60.2	60.2	100	100	98.5735
-60.3	60.3	100	100	98.5903
-60.4	60.4	100	100	98.6071
-60.5	60.5	100	100	98.6239
-60.6	60.6	100	100	98.6407
-60.7	60.7	100	100	98.6576
-60.8	60.8	100	100	98.6744
-60.9	60.9	100	100	98.6912
-61.0	61.0	100	100	98.708
-61.1	61.1	100	100	98.7248
-61.2	61.2	100	100	98.7416
-61.3	61.3	100	100	98.7584
-61.4	61.4	100	100	98.7752
-61.5	61.5	100	100	98.792
-61.6	61.6	100	100	98.8088
-61.7	61.7	100	100	98.8256
-61.8	61.8	100	100	98.8424
-61.9	61.9	100	100	98.8593
-62.0	62.0	100	100	98.8761
-62.1	62.1	100	100	98.8929
-62.2	62.2	100	100	98.9097
-62.3	62.3	100	100	98.9265
-62.4	62.4	100	100	98.9433
-62.5	62.5	100	100	98.9601
-62.6	62.6	100	100	98.9769
-62.7	62.7	100	100	98.9937
-62.8	62.8	100	100	99.0105
-62.9	62.9	100	100	99.0273
-63.0	63.0	100	100	99.0441
-63.1	63.1	100	100	99.061
-63.2	63.2	100	100	99.0778
-63.3	63.3	100	100	99.0946
-63.4	63.4	100	100	99.1114
-63.5	63.5	100	100	99.1282
-63.6	63.6	100	100	99.145
-63.7	63.7	100	100	99.1618
-63.8	63.8	100	100	99.1786
-63.9	63.9	100	100	99.1954
-64.0	64.0	100	100	99.2122
-64.1	64.1	100	100	99.229
-64.2	64.2	100	100	99.2458
-64.3	64.3	100	100	99.2626
-64.4	64.4	100	100	99.2795
-64.5	64.5	100	100	99.2963
-64.6	64.6	100	100	99.3131
-64.7	64.7	100	100	99.3299
-64.8	64.8	100	100	99.3467
-64.9	64.9	100	100	99.3635
-65.0	65.0	100	100	99.3803
-65.1	65.1	100	100	99.3971
-65.2	65.2	100	100	99.4139
-65.3	65.3	100	100	99.4307
-65.4	65.4	100	100	99.4475
-65.5	65.5	100	100	99.4643
-65.6	65.6	100	100	99.4812
-65.7	65.7	100	100	99.498
-65.8	65.8	100	100	99.5148
-65.9	65.9	100	100	99.5316
-66.0	66.0	100	100	99.5484
-66.1	66.1	100	100	99.5652
-66.2	66.2	100	100	99.582
-66.3	66.3	100	100	99.5988
-66.4	66.4	100	100	99.6156
-66.5	66.5	100	100	99.6324
-66.6	66.6	100	100	99.6492
-66.7	66.7	100	100	99.666
-66.8	66.8	100	100	99.6829
-66.9	66.9	100	100	99.6997
-67.0	67.0	100	100	99.7165
-67.1	67.1	100	100	99.7333
-67.2	67.2	100	100	99.7501
-67.3	67.3	100	100	99.7669
-67.4	67.4	100	100	99.7837
-67.5	67.5	100	100	99.8005
-67.6	67.6	100	100	99.8173
-67.7	67.7	100	100	99.8341
-67.8	67.8	100	100	99.8509
-67.9	67.9	100	100	99.8677
-68.0	68.0	100	100	99.8846
-68.1	68.1	100	100	99.9014
-68.2	68.2	100	100	99.9182
-68.3	68.3	100	100	99.935
-68.4	68.4	100	100	99.9518
-68.5	68.5	100	100	99.9686
-68.6	68.6	100	100	99.9854
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	51
-Learning task	Classification analysis
-Target variable	Class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.980738	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.901961	0.704425	0.95993
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	13	0
-$Iris-virginica	0	0	19
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	12	4
-$Iris-virginica	0	1	15
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Value group	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-{4, 3}	0	12	4	0.266843
-{1}	19	0	0	0.44088
-{5, 6}	0	1	15	0.292278
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.268421
-0.2	0.2	0.536842	0.536842	0.536842
-0.3	0.3	0.805263	0.805263	0.805263
-0.4	0.4	1.07368	1.07368	1.07368
-0.5	0.5	1.34211	1.34211	1.34211
-0.6	0.6	1.61053	1.61053	1.61053
-0.7	0.7	1.87895	1.87895	1.87895
-0.8	0.8	2.14737	2.14737	2.14737
-0.9	0.9	2.41579	2.41579	2.41579
-1.0	1.0	2.68421	2.68421	2.68421
-1.1	1.1	2.95263	2.95263	2.95263
-1.2	1.2	3.22105	3.22105	3.22105
-1.3	1.3	3.48947	3.48947	3.48947
-1.4	1.4	3.75789	3.75789	3.75789
-1.5	1.5	4.02632	4.02632	4.02632
-1.6	1.6	4.29474	4.29474	4.29474
-1.7	1.7	4.56316	4.56316	4.56316
-1.8	1.8	4.83158	4.83158	4.83158
-1.9	1.9	5.1	5.1	5.1
-2.0	2.0	5.36842	5.36842	5.36842
-2.1	2.1	5.63684	5.63684	5.63684
-2.2	2.2	5.90526	5.90526	5.90526
-2.3	2.3	6.17368	6.17368	6.17368
-2.4	2.4	6.44211	6.44211	6.44211
-2.5	2.5	6.71053	6.71053	6.71053
-2.6	2.6	6.97895	6.97895	6.97895
-2.7	2.7	7.24737	7.24737	7.24737
-2.8	2.8	7.51579	7.51579	7.51579
-2.9	2.9	7.78421	7.78421	7.78421
-3.0	3.0	8.05263	8.05263	8.05263
-3.1	3.1	8.32105	8.32105	8.32105
-3.2	3.2	8.58947	8.58947	8.58947
-3.3	3.3	8.85789	8.85789	8.85789
-3.4	3.4	9.12632	9.12632	9.12632
-3.5	3.5	9.39474	9.39474	9.39474
-3.6	3.6	9.66316	9.66316	9.66316
-3.7	3.7	9.93158	9.93158	9.93158
-3.8	3.8	10.2	10.2	10.2
-3.9	3.9	10.4684	10.4684	10.4684
-4.0	4.0	10.7368	10.7368	10.7368
-4.1	4.1	11.0053	11.0053	11.0053
-4.2	4.2	11.2737	11.2737	11.2737
-4.3	4.3	11.5421	11.5421	11.5421
-4.4	4.4	11.8105	11.8105	11.8105
-4.5	4.5	12.0789	12.0789	12.0789
-4.6	4.6	12.3474	12.3474	12.3474
-4.7	4.7	12.6158	12.6158	12.6158
-4.8	4.8	12.8842	12.8842	12.8842
-4.9	4.9	13.1526	13.1526	13.1526
-5.0	5.0	13.4211	13.4211	13.4211
-5.1	5.1	13.6895	13.6895	13.6895
-5.2	5.2	13.9579	13.9579	13.9579
-5.3	5.3	14.2263	14.2263	14.2263
-5.4	5.4	14.4947	14.4947	14.4947
-5.5	5.5	14.7632	14.7632	14.7632
-5.6	5.6	15.0316	15.0316	15.0316
-5.7	5.7	15.3	15.3	15.3
-5.8	5.8	15.5684	15.5684	15.5684
-5.9	5.9	15.8368	15.8368	15.8368
-6.0	6.0	16.1053	16.1053	16.1053
-6.1	6.1	16.3737	16.3737	16.3737
-6.2	6.2	16.6421	16.6421	16.6421
-6.3	6.3	16.9105	16.9105	16.9105
-6.4	6.4	17.1789	17.1789	17.1789
-6.5	6.5	17.4474	17.4474	17.4474
-6.6	6.6	17.7158	17.7158	17.7158
-6.7	6.7	17.9842	17.9842	17.9842
-6.8	6.8	18.2526	18.2526	18.2526
-6.9	6.9	18.5211	18.5211	18.5211
-7.0	7.0	18.7895	18.7895	18.7895
-7.1	7.1	19.0579	19.0579	19.0579
-7.2	7.2	19.3263	19.3263	19.3263
-7.3	7.3	19.5947	19.5947	19.5947
-7.4	7.4	19.8632	19.8632	19.8632
-7.5	7.5	20.1316	20.1316	20.1316
-7.6	7.6	20.4	20.4	20.4
-7.7	7.7	20.6684	20.6684	20.6684
-7.8	7.8	20.9368	20.9368	20.9368
-7.9	7.9	21.2053	21.2053	21.2053
-8.0	8.0	21.4737	21.4737	21.4737
-8.1	8.1	21.7421	21.7421	21.7421
-8.2	8.2	22.0105	22.0105	22.0105
-8.3	8.3	22.2789	22.2789	22.2789
-8.4	8.4	22.5474	22.5474	22.5474
-8.5	8.5	22.8158	22.8158	22.8158
-8.6	8.6	23.0842	23.0842	23.0842
-8.7	8.7	23.3526	23.3526	23.3526
-8.8	8.8	23.6211	23.6211	23.6211
-8.9	8.9	23.8895	23.8895	23.8895
-9.0	9.0	24.1579	24.1579	24.1579
-9.1	9.1	24.4263	24.4263	24.4263
-9.2	9.2	24.6947	24.6947	24.6947
-9.3	9.3	24.9632	24.9632	24.9632
-9.4	9.4	25.2316	25.2316	25.2316
-9.5	9.5	25.5	25.5	25.5
-9.6	9.6	25.7684	25.7684	25.7684
-9.7	9.7	26.0368	26.0368	26.0368
-9.8	9.8	26.3053	26.3053	26.3053
-9.9	9.9	26.5737	26.5737	26.5737
-10.0	10.0	26.8421	26.8421	26.8421
-10.1	10.1	27.1105	27.1105	27.1105
-10.2	10.2	27.3789	27.3789	27.3789
-10.3	10.3	27.6474	27.6474	27.6474
-10.4	10.4	27.9158	27.9158	27.9158
-10.5	10.5	28.1842	28.1842	28.1842
-10.6	10.6	28.4526	28.4526	28.4526
-10.7	10.7	28.7211	28.7211	28.7211
-10.8	10.8	28.9895	28.9895	28.9895
-10.9	10.9	29.2579	29.2579	29.2579
-11.0	11.0	29.5263	29.5263	29.5263
-11.1	11.1	29.7947	29.7947	29.7947
-11.2	11.2	30.0632	30.0632	30.0632
-11.3	11.3	30.3316	30.3316	30.3316
-11.4	11.4	30.6	30.6	30.6
-11.5	11.5	30.8684	30.8684	30.8684
-11.6	11.6	31.1368	31.1368	31.1368
-11.7	11.7	31.4053	31.4053	31.4053
-11.8	11.8	31.6737	31.6737	31.6737
-11.9	11.9	31.9421	31.9421	31.9421
-12.0	12.0	32.2105	32.2105	32.2105
-12.1	12.1	32.4789	32.4789	32.4789
-12.2	12.2	32.7474	32.7474	32.7474
-12.3	12.3	33.0158	33.0158	33.0158
-12.4	12.4	33.2842	33.2842	33.2842
-12.5	12.5	33.5526	33.5526	33.5526
-12.6	12.6	33.8211	33.8211	33.8211
-12.7	12.7	34.0895	34.0895	34.0895
-12.8	12.8	34.3579	34.3579	34.3579
-12.9	12.9	34.6263	34.6263	34.6263
-13.0	13.0	34.8947	34.8947	34.8947
-13.1	13.1	35.1632	35.1632	35.1632
-13.2	13.2	35.4316	35.4316	35.4316
-13.3	13.3	35.7	35.7	35.7
-13.4	13.4	35.9684	35.9684	35.9684
-13.5	13.5	36.2368	36.2368	36.2368
-13.6	13.6	36.5053	36.5053	36.5053
-13.7	13.7	36.7737	36.7737	36.7737
-13.8	13.8	37.0421	37.0421	37.0421
-13.9	13.9	37.3105	37.3105	37.3105
-14.0	14.0	37.5789	37.5789	37.5789
-14.1	14.1	37.8474	37.8474	37.8474
-14.2	14.2	38.1158	38.1158	38.1158
-14.3	14.3	38.3842	38.3842	38.3842
-14.4	14.4	38.6526	38.6526	38.6526
-14.5	14.5	38.9211	38.9211	38.9211
-14.6	14.6	39.1895	39.1895	39.1895
-14.7	14.7	39.4579	39.4579	39.4579
-14.8	14.8	39.7263	39.7263	39.7263
-14.9	14.9	39.9947	39.9947	39.9947
-15.0	15.0	40.2632	40.2632	40.2632
-15.1	15.1	40.5316	40.5316	40.5316
-15.2	15.2	40.8	40.8	40.8
-15.3	15.3	41.0684	41.0684	41.0684
-15.4	15.4	41.3368	41.3368	41.3368
-15.5	15.5	41.6053	41.6053	41.6053
-15.6	15.6	41.8737	41.8737	41.8737
-15.7	15.7	42.1421	42.1421	42.1421
-15.8	15.8	42.4105	42.4105	42.4105
-15.9	15.9	42.6789	42.6789	42.6789
-16.0	16.0	42.9474	42.9474	42.9474
-16.1	16.1	43.2158	43.2158	43.2158
-16.2	16.2	43.4842	43.4842	43.4842
-16.3	16.3	43.7526	43.7526	43.7526
-16.4	16.4	44.0211	44.0211	44.0211
-16.5	16.5	44.2895	44.2895	44.2895
-16.6	16.6	44.5579	44.5579	44.5579
-16.7	16.7	44.8263	44.8263	44.8263
-16.8	16.8	45.0947	45.0947	45.0947
-16.9	16.9	45.3632	45.3632	45.3632
-17.0	17.0	45.6316	45.6316	45.6316
-17.1	17.1	45.9	45.9	45.9
-17.2	17.2	46.1684	46.1684	46.1684
-17.3	17.3	46.4368	46.4368	46.4368
-17.4	17.4	46.7053	46.7053	46.7053
-17.5	17.5	46.9737	46.9737	46.9737
-17.6	17.6	47.2421	47.2421	47.2421
-17.7	17.7	47.5105	47.5105	47.5105
-17.8	17.8	47.7789	47.7789	47.7789
-17.9	17.9	48.0474	48.0474	48.0474
-18.0	18.0	48.3158	48.3158	48.3158
-18.1	18.1	48.5842	48.5842	48.5842
-18.2	18.2	48.8526	48.8526	48.8526
-18.3	18.3	49.1211	49.1211	49.1211
-18.4	18.4	49.3895	49.3895	49.3895
-18.5	18.5	49.6579	49.6579	49.6579
-18.6	18.6	49.9263	49.9263	49.9263
-18.7	18.7	50.1947	50.1947	50.1947
-18.8	18.8	50.4632	50.4632	50.4632
-18.9	18.9	50.7316	50.7316	50.7316
-19.0	19.0	51	51	51
-19.1	19.1	51.2684	51.2684	51.2684
-19.2	19.2	51.5368	51.5368	51.5368
-19.3	19.3	51.8053	51.8053	51.8053
-19.4	19.4	52.0737	52.0737	52.0737
-19.5	19.5	52.3421	52.3421	52.3421
-19.6	19.6	52.6105	52.6105	52.6105
-19.7	19.7	52.8789	52.8789	52.8789
-19.8	19.8	53.1474	53.1474	53.1474
-19.9	19.9	53.4158	53.4158	53.4158
-20.0	20.0	53.6842	53.6842	53.6842
-20.1	20.1	53.9526	53.9526	53.9526
-20.2	20.2	54.2211	54.2211	54.2211
-20.3	20.3	54.4895	54.4895	54.4895
-20.4	20.4	54.7579	54.7579	54.7579
-20.5	20.5	55.0263	55.0263	55.0263
-20.6	20.6	55.2947	55.2947	55.2947
-20.7	20.7	55.5632	55.5632	55.5632
-20.8	20.8	55.8316	55.8316	55.8316
-20.9	20.9	56.1	56.1	56.1
-21.0	21.0	56.3684	56.3684	56.3684
-21.1	21.1	56.6368	56.6368	56.6368
-21.2	21.2	56.9053	56.9053	56.9053
-21.3	21.3	57.1737	57.1737	57.1737
-21.4	21.4	57.4421	57.4421	57.4421
-21.5	21.5	57.7105	57.7105	57.7105
-21.6	21.6	57.9789	57.9789	57.9789
-21.7	21.7	58.2474	58.2474	58.2474
-21.8	21.8	58.5158	58.5158	58.5158
-21.9	21.9	58.7842	58.7842	58.7842
-22.0	22.0	59.0526	59.0526	59.0526
-22.1	22.1	59.3211	59.3211	59.3211
-22.2	22.2	59.5895	59.5895	59.5895
-22.3	22.3	59.8579	59.8579	59.8579
-22.4	22.4	60.1263	60.1263	60.1263
-22.5	22.5	60.3947	60.3947	60.3947
-22.6	22.6	60.6632	60.6632	60.6632
-22.7	22.7	60.9316	60.9316	60.9316
-22.8	22.8	61.2	61.2	61.2
-22.9	22.9	61.4684	61.4684	61.4684
-23.0	23.0	61.7368	61.7368	61.7368
-23.1	23.1	62.0053	62.0053	62.0053
-23.2	23.2	62.2737	62.2737	62.2737
-23.3	23.3	62.5421	62.5421	62.5421
-23.4	23.4	62.8105	62.8105	62.8105
-23.5	23.5	63.0789	63.0789	63.0789
-23.6	23.6	63.3474	63.3474	63.3474
-23.7	23.7	63.6158	63.6158	63.6158
-23.8	23.8	63.8842	63.8842	63.8842
-23.9	23.9	64.1526	64.1526	64.1526
-24.0	24.0	64.4211	64.4211	64.4211
-24.1	24.1	64.6895	64.6895	64.6895
-24.2	24.2	64.9579	64.9579	64.9579
-24.3	24.3	65.2263	65.2263	65.2263
-24.4	24.4	65.4947	65.4947	65.4947
-24.5	24.5	65.7632	65.7632	65.7632
-24.6	24.6	66.0316	66.0316	66.0316
-24.7	24.7	66.3	66.3	66.3
-24.8	24.8	66.5684	66.5684	66.5684
-24.9	24.9	66.8368	66.8368	66.8368
-25.0	25.0	67.1053	67.1053	67.1053
-25.1	25.1	67.3737	67.3737	67.3737
-25.2	25.2	67.6421	67.6421	67.6421
-25.3	25.3	67.9105	67.9105	67.9105
-25.4	25.4	68.1789	68.1789	68.1789
-25.5	25.5	68.4474	68.4474	68.4474
-25.6	25.6	68.7158	68.7158	68.7158
-25.7	25.7	68.9842	68.9842	68.9842
-25.8	25.8	69.2526	69.2526	69.2526
-25.9	25.9	69.5211	69.5211	69.5211
-26.0	26.0	69.7895	69.7895	69.7895
-26.1	26.1	70.0579	70.0579	70.0579
-26.2	26.2	70.3263	70.3263	70.3263
-26.3	26.3	70.5947	70.5947	70.5947
-26.4	26.4	70.8632	70.8632	70.8632
-26.5	26.5	71.1316	71.1316	71.1316
-26.6	26.6	71.4	71.4	71.4
-26.7	26.7	71.6684	71.6684	71.6684
-26.8	26.8	71.9368	71.9368	71.9368
-26.9	26.9	72.2053	72.2053	72.2053
-27.0	27.0	72.4737	72.4737	72.4737
-27.1	27.1	72.7421	72.7421	72.7421
-27.2	27.2	73.0105	73.0105	73.0105
-27.3	27.3	73.2789	73.2789	73.2789
-27.4	27.4	73.5474	73.5474	73.5474
-27.5	27.5	73.8158	73.8158	73.8158
-27.6	27.6	74.0842	74.0842	74.0842
-27.7	27.7	74.3526	74.3526	74.3526
-27.8	27.8	74.6211	74.6211	74.6211
-27.9	27.9	74.8895	74.8895	74.8895
-28.0	28.0	75.1579	75.1579	75.1579
-28.1	28.1	75.4263	75.4263	75.4263
-28.2	28.2	75.6947	75.6947	75.6947
-28.3	28.3	75.9632	75.9632	75.9632
-28.4	28.4	76.2316	76.2316	76.2316
-28.5	28.5	76.5	76.5	76.5
-28.6	28.6	76.7684	76.7684	76.7684
-28.7	28.7	77.0368	77.0368	77.0368
-28.8	28.8	77.3053	77.3053	77.3053
-28.9	28.9	77.5737	77.5737	77.5737
-29.0	29.0	77.8421	77.8421	77.8421
-29.1	29.1	78.1105	78.1105	78.1105
-29.2	29.2	78.3789	78.3789	78.3789
-29.3	29.3	78.6474	78.6474	78.6474
-29.4	29.4	78.9158	78.9158	78.9158
-29.5	29.5	79.1842	79.1842	79.1842
-29.6	29.6	79.4526	79.4526	79.4526
-29.7	29.7	79.7211	79.7211	79.7211
-29.8	29.8	79.9895	79.9895	79.9895
-29.9	29.9	80.2579	80.2579	80.2579
-30.0	30.0	80.5263	80.5263	80.5263
-30.1	30.1	80.7947	80.7947	80.7947
-30.2	30.2	81.0632	81.0632	81.0632
-30.3	30.3	81.3316	81.3316	81.3316
-30.4	30.4	81.6	81.6	81.6
-30.5	30.5	81.8684	81.8684	81.8684
-30.6	30.6	82.1368	82.1368	82.1368
-30.7	30.7	82.4053	82.4053	82.4053
-30.8	30.8	82.6737	82.6737	82.6737
-30.9	30.9	82.9421	82.9421	82.9421
-31.0	31.0	83.2105	83.2105	83.2105
-31.1	31.1	83.4789	83.4789	83.4789
-31.2	31.2	83.7474	83.7474	83.7474
-31.3	31.3	84.0158	84.0158	84.0158
-31.4	31.4	84.2842	84.2842	84.2842
-31.5	31.5	84.5526	84.5526	84.5526
-31.6	31.6	84.8211	84.8211	84.8211
-31.7	31.7	85.0895	85.0895	85.0895
-31.8	31.8	85.3579	85.3579	85.3579
-31.9	31.9	85.6263	85.6263	85.6263
-32.0	32.0	85.8947	85.8947	85.8947
-32.1	32.1	86.1632	86.1632	86.1632
-32.2	32.2	86.4316	86.4316	86.4316
-32.3	32.3	86.7	86.7	86.7
-32.4	32.4	86.9684	86.9684	86.9684
-32.5	32.5	87.2368	87.2368	87.2368
-32.6	32.6	87.5053	87.5053	87.5053
-32.7	32.7	87.7737	87.7737	87.7737
-32.8	32.8	88.0421	88.0421	88.0421
-32.9	32.9	88.3105	88.3105	88.3105
-33.0	33.0	88.5789	88.5789	88.5789
-33.1	33.1	88.8474	88.8474	88.8474
-33.2	33.2	89.1158	89.1158	89.1158
-33.3	33.3	89.3842	89.3842	89.3842
-33.4	33.4	89.6526	89.6526	89.6526
-33.5	33.5	89.9211	89.9211	89.9211
-33.6	33.6	90.1895	90.1895	90.1895
-33.7	33.7	90.4579	90.4579	90.4579
-33.8	33.8	90.7263	90.7263	90.7263
-33.9	33.9	90.9947	90.9947	90.9947
-34.0	34.0	91.2632	91.2632	91.2632
-34.1	34.1	91.5316	91.5316	91.5316
-34.2	34.2	91.8	91.8	91.8
-34.3	34.3	92.0684	92.0684	92.0684
-34.4	34.4	92.3368	92.3368	92.3368
-34.5	34.5	92.6053	92.6053	92.6053
-34.6	34.6	92.8737	92.8737	92.8737
-34.7	34.7	93.1421	93.1421	93.1421
-34.8	34.8	93.4105	93.4105	93.4105
-34.9	34.9	93.6789	93.6789	93.6789
-35.0	35.0	93.9474	93.9474	93.9474
-35.1	35.1	94.2158	94.2158	94.2158
-35.2	35.2	94.4842	94.4842	94.4842
-35.3	35.3	94.7526	94.7526	94.7526
-35.4	35.4	95.0211	95.0211	95.0211
-35.5	35.5	95.2895	95.2895	95.2895
-35.6	35.6	95.5579	95.5579	95.5579
-35.7	35.7	95.8263	95.8263	95.8263
-35.8	35.8	96.0947	96.0947	96.0947
-35.9	35.9	96.3632	96.3632	96.3632
-36.0	36.0	96.6316	96.6316	96.6316
-36.1	36.1	96.9	96.9	96.9
-36.2	36.2	97.1684	97.1684	97.1684
-36.3	36.3	97.4368	97.4368	97.4368
-36.4	36.4	97.7053	97.7053	97.7053
-36.5	36.5	97.9737	97.9737	97.9737
-36.6	36.6	98.2421	98.2421	98.2421
-36.7	36.7	98.5105	98.5105	98.5105
-36.8	36.8	98.7789	98.7789	98.7789
-36.9	36.9	99.0474	99.0474	99.0474
-37.0	37.0	99.3158	99.3158	99.3158
-37.1	37.1	99.5842	99.5842	99.5842
-37.2	37.2	99.8526	99.8526	99.8526
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.392308	0.392308	0.294231
-0.2	0.2	0.784615	0.784615	0.588462
-0.3	0.3	1.17692	1.17692	0.882692
-0.4	0.4	1.56923	1.56923	1.17692
-0.5	0.5	1.96154	1.96154	1.47115
-0.6	0.6	2.35385	2.35385	1.76538
-0.7	0.7	2.74615	2.74615	2.05962
-0.8	0.8	3.13846	3.13846	2.35385
-0.9	0.9	3.53077	3.53077	2.64808
-1.0	1.0	3.92308	3.92308	2.94231
-1.1	1.1	4.31538	4.31538	3.23654
-1.2	1.2	4.70769	4.70769	3.53077
-1.3	1.3	5.1	5.1	3.825
-1.4	1.4	5.49231	5.49231	4.11923
-1.5	1.5	5.88462	5.88462	4.41346
-1.6	1.6	6.27692	6.27692	4.70769
-1.7	1.7	6.66923	6.66923	5.00192
-1.8	1.8	7.06154	7.06154	5.29615
-1.9	1.9	7.45385	7.45385	5.59038
-2.0	2.0	7.84615	7.84615	5.88462
-2.1	2.1	8.23846	8.23846	6.17885
-2.2	2.2	8.63077	8.63077	6.47308
-2.3	2.3	9.02308	9.02308	6.76731
-2.4	2.4	9.41538	9.41538	7.06154
-2.5	2.5	9.80769	9.80769	7.35577
-2.6	2.6	10.2	10.2	7.65
-2.7	2.7	10.5923	10.5923	7.94423
-2.8	2.8	10.9846	10.9846	8.23846
-2.9	2.9	11.3769	11.3769	8.53269
-3.0	3.0	11.7692	11.7692	8.82692
-3.1	3.1	12.1615	12.1615	9.12115
-3.2	3.2	12.5538	12.5538	9.41538
-3.3	3.3	12.9462	12.9462	9.70962
-3.4	3.4	13.3385	13.3385	10.0038
-3.5	3.5	13.7308	13.7308	10.2981
-3.6	3.6	14.1231	14.1231	10.5923
-3.7	3.7	14.5154	14.5154	10.8865
-3.8	3.8	14.9077	14.9077	11.1808
-3.9	3.9	15.3	15.3	11.475
-4.0	4.0	15.6923	15.6923	11.7692
-4.1	4.1	16.0846	16.0846	12.0635
-4.2	4.2	16.4769	16.4769	12.3577
-4.3	4.3	16.8692	16.8692	12.6519
-4.4	4.4	17.2615	17.2615	12.9462
-4.5	4.5	17.6538	17.6538	13.2404
-4.6	4.6	18.0462	18.0462	13.5346
-4.7	4.7	18.4385	18.4385	13.8288
-4.8	4.8	18.8308	18.8308	14.1231
-4.9	4.9	19.2231	19.2231	14.4173
-5.0	5.0	19.6154	19.6154	14.7115
-5.1	5.1	20.0077	20.0077	15.0058
-5.2	5.2	20.4	20.4	15.3
-5.3	5.3	20.7923	20.7923	15.5942
-5.4	5.4	21.1846	21.1846	15.8885
-5.5	5.5	21.5769	21.5769	16.1827
-5.6	5.6	21.9692	21.9692	16.4769
-5.7	5.7	22.3615	22.3615	16.7712
-5.8	5.8	22.7538	22.7538	17.0654
-5.9	5.9	23.1462	23.1462	17.3596
-6.0	6.0	23.5385	23.5385	17.6538
-6.1	6.1	23.9308	23.9308	17.9481
-6.2	6.2	24.3231	24.3231	18.2423
-6.3	6.3	24.7154	24.7154	18.5365
-6.4	6.4	25.1077	25.1077	18.8308
-6.5	6.5	25.5	25.5	19.125
-6.6	6.6	25.8923	25.8923	19.4192
-6.7	6.7	26.2846	26.2846	19.7135
-6.8	6.8	26.6769	26.6769	20.0077
-6.9	6.9	27.0692	27.0692	20.3019
-7.0	7.0	27.4615	27.4615	20.5962
-7.1	7.1	27.8538	27.8538	20.8904
-7.2	7.2	28.2462	28.2462	21.1846
-7.3	7.3	28.6385	28.6385	21.4788
-7.4	7.4	29.0308	29.0308	21.7731
-7.5	7.5	29.4231	29.4231	22.0673
-7.6	7.6	29.8154	29.8154	22.3615
-7.7	7.7	30.2077	30.2077	22.6558
-7.8	7.8	30.6	30.6	22.95
-7.9	7.9	30.9923	30.9923	23.2442
-8.0	8.0	31.3846	31.3846	23.5385
-8.1	8.1	31.7769	31.7769	23.8327
-8.2	8.2	32.1692	32.1692	24.1269
-8.3	8.3	32.5615	32.5615	24.4212
-8.4	8.4	32.9538	32.9538	24.7154
-8.5	8.5	33.3462	33.3462	25.0096
-8.6	8.6	33.7385	33.7385	25.3038
-8.7	8.7	34.1308	34.1308	25.5981
-8.8	8.8	34.5231	34.5231	25.8923
-8.9	8.9	34.9154	34.9154	26.1865
-9.0	9.0	35.3077	35.3077	26.4808
-9.1	9.1	35.7	35.7	26.775
-9.2	9.2	36.0923	36.0923	27.0692
-9.3	9.3	36.4846	36.4846	27.3635
-9.4	9.4	36.8769	36.8769	27.6577
-9.5	9.5	37.2692	37.2692	27.9519
-9.6	9.6	37.6615	37.6615	28.2462
-9.7	9.7	38.0538	38.0538	28.5404
-9.8	9.8	38.4462	38.4462	28.8346
-9.9	9.9	38.8385	38.8385	29.1288
-10.0	10.0	39.2308	39.2308	29.4231
-10.1	10.1	39.6231	39.6231	29.7173
-10.2	10.2	40.0154	40.0154	30.0115
-10.3	10.3	40.4077	40.4077	30.3058
-10.4	10.4	40.8	40.8	30.6
-10.5	10.5	41.1923	41.1923	30.8942
-10.6	10.6	41.5846	41.5846	31.1885
-10.7	10.7	41.9769	41.9769	31.4827
-10.8	10.8	42.3692	42.3692	31.7769
-10.9	10.9	42.7615	42.7615	32.0712
-11.0	11.0	43.1538	43.1538	32.3654
-11.1	11.1	43.5462	43.5462	32.6596
-11.2	11.2	43.9385	43.9385	32.9538
-11.3	11.3	44.3308	44.3308	33.2481
-11.4	11.4	44.7231	44.7231	33.5423
-11.5	11.5	45.1154	45.1154	33.8365
-11.6	11.6	45.5077	45.5077	34.1308
-11.7	11.7	45.9	45.9	34.425
-11.8	11.8	46.2923	46.2923	34.7192
-11.9	11.9	46.6846	46.6846	35.0135
-12.0	12.0	47.0769	47.0769	35.3077
-12.1	12.1	47.4692	47.4692	35.6019
-12.2	12.2	47.8615	47.8615	35.8962
-12.3	12.3	48.2538	48.2538	36.1904
-12.4	12.4	48.6462	48.6462	36.4846
-12.5	12.5	49.0385	49.0385	36.7788
-12.6	12.6	49.4308	49.4308	37.0731
-12.7	12.7	49.8231	49.8231	37.3673
-12.8	12.8	50.2154	50.2154	37.6615
-12.9	12.9	50.6077	50.6077	37.9558
-13.0	13.0	51	51	38.25
-13.1	13.1	51.3923	51.3923	38.5442
-13.2	13.2	51.7846	51.7846	38.8385
-13.3	13.3	52.1769	52.1769	39.1327
-13.4	13.4	52.5692	52.5692	39.4269
-13.5	13.5	52.9615	52.9615	39.7212
-13.6	13.6	53.3538	53.3538	40.0154
-13.7	13.7	53.7462	53.7462	40.3096
-13.8	13.8	54.1385	54.1385	40.6038
-13.9	13.9	54.5308	54.5308	40.8981
-14.0	14.0	54.9231	54.9231	41.1923
-14.1	14.1	55.3154	55.3154	41.4865
-14.2	14.2	55.7077	55.7077	41.7808
-14.3	14.3	56.1	56.1	42.075
-14.4	14.4	56.4923	56.4923	42.3692
-14.5	14.5	56.8846	56.8846	42.6635
-14.6	14.6	57.2769	57.2769	42.9577
-14.7	14.7	57.6692	57.6692	43.2519
-14.8	14.8	58.0615	58.0615	43.5462
-14.9	14.9	58.4538	58.4538	43.8404
-15.0	15.0	58.8462	58.8462	44.1346
-15.1	15.1	59.2385	59.2385	44.4288
-15.2	15.2	59.6308	59.6308	44.7231
-15.3	15.3	60.0231	60.0231	45.0173
-15.4	15.4	60.4154	60.4154	45.3115
-15.5	15.5	60.8077	60.8077	45.6058
-15.6	15.6	61.2	61.2	45.9
-15.7	15.7	61.5923	61.5923	46.1942
-15.8	15.8	61.9846	61.9846	46.4885
-15.9	15.9	62.3769	62.3769	46.7827
-16.0	16.0	62.7692	62.7692	47.0769
-16.1	16.1	63.1615	63.1615	47.3712
-16.2	16.2	63.5538	63.5538	47.6654
-16.3	16.3	63.9462	63.9462	47.9596
-16.4	16.4	64.3385	64.3385	48.2538
-16.5	16.5	64.7308	64.7308	48.5481
-16.6	16.6	65.1231	65.1231	48.8423
-16.7	16.7	65.5154	65.5154	49.1365
-16.8	16.8	65.9077	65.9077	49.4308
-16.9	16.9	66.3	66.3	49.725
-17.0	17.0	66.6923	66.6923	50.0192
-17.1	17.1	67.0846	67.0846	50.3135
-17.2	17.2	67.4769	67.4769	50.6077
-17.3	17.3	67.8692	67.8692	50.9019
-17.4	17.4	68.2615	68.2615	51.1962
-17.5	17.5	68.6538	68.6538	51.4904
-17.6	17.6	69.0462	69.0462	51.7846
-17.7	17.7	69.4385	69.4385	52.0788
-17.8	17.8	69.8308	69.8308	52.3731
-17.9	17.9	70.2231	70.2231	52.6673
-18.0	18.0	70.6154	70.6154	52.9615
-18.1	18.1	71.0077	71.0077	53.2558
-18.2	18.2	71.4	71.4	53.55
-18.3	18.3	71.7923	71.7923	53.8442
-18.4	18.4	72.1846	72.1846	54.1385
-18.5	18.5	72.5769	72.5769	54.4327
-18.6	18.6	72.9692	72.9692	54.7269
-18.7	18.7	73.3615	73.3615	55.0212
-18.8	18.8	73.7538	73.7538	55.3154
-18.9	18.9	74.1462	74.1462	55.6096
-19.0	19.0	74.5385	74.5385	55.9038
-19.1	19.1	74.9308	74.9308	56.1981
-19.2	19.2	75.3231	75.3231	56.4923
-19.3	19.3	75.7154	75.7154	56.7865
-19.4	19.4	76.1077	76.1077	57.0808
-19.5	19.5	76.5	76.5	57.375
-19.6	19.6	76.8923	76.8923	57.6692
-19.7	19.7	77.2846	77.2846	57.9635
-19.8	19.8	77.6769	77.6769	58.2577
-19.9	19.9	78.0692	78.0692	58.5519
-20.0	20.0	78.4615	78.4615	58.8462
-20.1	20.1	78.8538	78.8538	59.1404
-20.2	20.2	79.2462	79.2462	59.4346
-20.3	20.3	79.6385	79.6385	59.7288
-20.4	20.4	80.0308	80.0308	60.0231
-20.5	20.5	80.4231	80.4231	60.3173
-20.6	20.6	80.8154	80.8154	60.6115
-20.7	20.7	81.2077	81.2077	60.9058
-20.8	20.8	81.6	81.6	61.2
-20.9	20.9	81.9923	81.9923	61.4942
-21.0	21.0	82.3846	82.3846	61.7885
-21.1	21.1	82.7769	82.7769	62.0827
-21.2	21.2	83.1692	83.1692	62.3769
-21.3	21.3	83.5615	83.5615	62.6712
-21.4	21.4	83.9538	83.9538	62.9654
-21.5	21.5	84.3462	84.3462	63.2596
-21.6	21.6	84.7385	84.7385	63.5538
-21.7	21.7	85.1308	85.1308	63.8481
-21.8	21.8	85.5231	85.5231	64.1423
-21.9	21.9	85.9154	85.9154	64.4365
-22.0	22.0	86.3077	86.3077	64.7308
-22.1	22.1	86.7	86.7	65.025
-22.2	22.2	87.0923	87.0923	65.3192
-22.3	22.3	87.4846	87.4846	65.6135
-22.4	22.4	87.8769	87.8769	65.9077
-22.5	22.5	88.2692	88.2692	66.2019
-22.6	22.6	88.6615	88.6615	66.4962
-22.7	22.7	89.0538	89.0538	66.7904
-22.8	22.8	89.4462	89.4462	67.0846
-22.9	22.9	89.8385	89.8385	67.3788
-23.0	23.0	90.2308	90.2308	67.6731
-23.1	23.1	90.6231	90.6231	67.9673
-23.2	23.2	91.0154	91.0154	68.2615
-23.3	23.3	91.4077	91.4077	68.5558
-23.4	23.4	91.8	91.8	68.85
-23.5	23.5	92.1923	92.1923	69.1442
-23.6	23.6	92.5846	92.5846	69.4385
-23.7	23.7	92.9769	92.9769	69.7327
-23.8	23.8	93.3692	93.3692	70.0269
-23.9	23.9	93.7615	93.7615	70.3212
-24.0	24.0	94.1538	94.1538	70.6154
-24.1	24.1	94.5462	94.5462	70.9096
-24.2	24.2	94.9385	94.9385	71.2038
-24.3	24.3	95.3308	95.3308	71.4981
-24.4	24.4	95.7231	95.7231	71.7923
-24.5	24.5	96.1154	96.1154	72.0865
-24.6	24.6	96.5077	96.5077	72.3808
-24.7	24.7	96.9	96.9	72.675
-24.8	24.8	97.2923	97.2923	72.9692
-24.9	24.9	97.6846	97.6846	73.2635
-25.0	25.0	98.0769	98.0769	73.5577
-25.1	25.1	98.4692	98.4692	73.8519
-25.2	25.2	98.8615	98.8615	74.1462
-25.3	25.3	99.2538	99.2538	74.4404
-25.4	25.4	99.6462	99.6462	74.7346
-25.5	25.5	100	100	75.0288
-25.6	25.6	100	100	75.3231
-25.7	25.7	100	100	75.6173
-25.8	25.8	100	100	75.9115
-25.9	25.9	100	100	76.2058
-26.0	26.0	100	100	76.5
-26.1	26.1	100	100	76.7942
-26.2	26.2	100	100	77.0885
-26.3	26.3	100	100	77.3827
-26.4	26.4	100	100	77.6769
-26.5	26.5	100	100	77.9712
-26.6	26.6	100	100	78.2654
-26.7	26.7	100	100	78.5596
-26.8	26.8	100	100	78.8538
-26.9	26.9	100	100	79.1481
-27.0	27.0	100	100	79.4423
-27.1	27.1	100	100	79.7365
-27.2	27.2	100	100	80.0308
-27.3	27.3	100	100	80.325
-27.4	27.4	100	100	80.6192
-27.5	27.5	100	100	80.9135
-27.6	27.6	100	100	81.2077
-27.7	27.7	100	100	81.5019
-27.8	27.8	100	100	81.7962
-27.9	27.9	100	100	82.0904
-28.0	28.0	100	100	82.3846
-28.1	28.1	100	100	82.6788
-28.2	28.2	100	100	82.9731
-28.3	28.3	100	100	83.2673
-28.4	28.4	100	100	83.5615
-28.5	28.5	100	100	83.8558
-28.6	28.6	100	100	84.15
-28.7	28.7	100	100	84.4442
-28.8	28.8	100	100	84.7385
-28.9	28.9	100	100	85.0327
-29.0	29.0	100	100	85.3269
-29.1	29.1	100	100	85.6212
-29.2	29.2	100	100	85.9154
-29.3	29.3	100	100	86.2096
-29.4	29.4	100	100	86.5038
-29.5	29.5	100	100	86.7981
-29.6	29.6	100	100	87.0923
-29.7	29.7	100	100	87.3865
-29.8	29.8	100	100	87.6808
-29.9	29.9	100	100	87.975
-30.0	30.0	100	100	88.2692
-30.1	30.1	100	100	88.5635
-30.2	30.2	100	100	88.8577
-30.3	30.3	100	100	89.1519
-30.4	30.4	100	100	89.4462
-30.5	30.5	100	100	89.7404
-30.6	30.6	100	100	90.0346
-30.7	30.7	100	100	90.3288
-30.8	30.8	100	100	90.6231
-30.9	30.9	100	100	90.9173
-31.0	31.0	100	100	91.2115
-31.1	31.1	100	100	91.5058
-31.2	31.2	100	100	91.8
-31.3	31.3	100	100	92.0942
-31.4	31.4	100	100	92.3144
-31.5	31.5	100	100	92.3389
-31.6	31.6	100	100	92.3635
-31.7	31.7	100	100	92.388
-31.8	31.8	100	100	92.4125
-31.9	31.9	100	100	92.437
-32.0	32.0	100	100	92.4615
-32.1	32.1	100	100	92.4861
-32.2	32.2	100	100	92.5106
-32.3	32.3	100	100	92.5351
-32.4	32.4	100	100	92.5596
-32.5	32.5	100	100	92.5841
-32.6	32.6	100	100	92.6087
-32.7	32.7	100	100	92.6332
-32.8	32.8	100	100	92.6577
-32.9	32.9	100	100	92.6822
-33.0	33.0	100	100	92.7067
-33.1	33.1	100	100	92.7313
-33.2	33.2	100	100	92.7558
-33.3	33.3	100	100	92.7803
-33.4	33.4	100	100	92.8048
-33.5	33.5	100	100	92.8293
-33.6	33.6	100	100	92.8538
-33.7	33.7	100	100	92.8784
-33.8	33.8	100	100	92.9029
-33.9	33.9	100	100	92.9274
-34.0	34.0	100	100	92.9519
-34.1	34.1	100	100	92.9764
-34.2	34.2	100	100	93.001
-34.3	34.3	100	100	93.0255
-34.4	34.4	100	100	93.05
-34.5	34.5	100	100	93.0745
-34.6	34.6	100	100	93.099
-34.7	34.7	100	100	93.1236
-34.8	34.8	100	100	93.1481
-34.9	34.9	100	100	93.1726
-35.0	35.0	100	100	93.1971
-35.1	35.1	100	100	93.2216
-35.2	35.2	100	100	93.2462
-35.3	35.3	100	100	93.2707
-35.4	35.4	100	100	93.2952
-35.5	35.5	100	100	93.3197
-35.6	35.6	100	100	93.3442
-35.7	35.7	100	100	93.3688
-35.8	35.8	100	100	93.3933
-35.9	35.9	100	100	93.4178
-36.0	36.0	100	100	93.4423
-36.1	36.1	100	100	93.4668
-36.2	36.2	100	100	93.4913
-36.3	36.3	100	100	93.5159
-36.4	36.4	100	100	93.5404
-36.5	36.5	100	100	93.5649
-36.6	36.6	100	100	93.5894
-36.7	36.7	100	100	93.6139
-36.8	36.8	100	100	93.6385
-36.9	36.9	100	100	93.663
-37.0	37.0	100	100	93.6875
-37.1	37.1	100	100	93.712
-37.2	37.2	100	100	93.7365
-37.3	37.3	100	100	93.7611
-37.4	37.4	100	100	93.7856
-37.5	37.5	100	100	93.8101
-37.6	37.6	100	100	93.8346
-37.7	37.7	100	100	93.8591
-37.8	37.8	100	100	93.8837
-37.9	37.9	100	100	93.9082
-38.0	38.0	100	100	93.9327
-38.1	38.1	100	100	93.9572
-38.2	38.2	100	100	93.9817
-38.3	38.3	100	100	94.0063
-38.4	38.4	100	100	94.0308
-38.5	38.5	100	100	94.0553
-38.6	38.6	100	100	94.0798
-38.7	38.7	100	100	94.1043
-38.8	38.8	100	100	94.1288
-38.9	38.9	100	100	94.1534
-39.0	39.0	100	100	94.1779
-39.1	39.1	100	100	94.2024
-39.2	39.2	100	100	94.2269
-39.3	39.3	100	100	94.2514
-39.4	39.4	100	100	94.276
-39.5	39.5	100	100	94.3005
-39.6	39.6	100	100	94.325
-39.7	39.7	100	100	94.3495
-39.8	39.8	100	100	94.374
-39.9	39.9	100	100	94.3986
-40.0	40.0	100	100	94.4231
-40.1	40.1	100	100	94.4476
-40.2	40.2	100	100	94.4721
-40.3	40.3	100	100	94.4966
-40.4	40.4	100	100	94.5212
-40.5	40.5	100	100	94.5457
-40.6	40.6	100	100	94.5702
-40.7	40.7	100	100	94.5947
-40.8	40.8	100	100	94.6192
-40.9	40.9	100	100	94.6438
-41.0	41.0	100	100	94.6683
-41.1	41.1	100	100	94.6928
-41.2	41.2	100	100	94.7173
-41.3	41.3	100	100	94.7418
-41.4	41.4	100	100	94.7663
-41.5	41.5	100	100	94.7909
-41.6	41.6	100	100	94.8154
-41.7	41.7	100	100	94.8399
-41.8	41.8	100	100	94.8644
-41.9	41.9	100	100	94.8889
-42.0	42.0	100	100	94.9135
-42.1	42.1	100	100	94.938
-42.2	42.2	100	100	94.9625
-42.3	42.3	100	100	94.987
-42.4	42.4	100	100	95.0115
-42.5	42.5	100	100	95.0361
-42.6	42.6	100	100	95.0606
-42.7	42.7	100	100	95.0851
-42.8	42.8	100	100	95.1096
-42.9	42.9	100	100	95.1341
-43.0	43.0	100	100	95.1587
-43.1	43.1	100	100	95.1832
-43.2	43.2	100	100	95.2077
-43.3	43.3	100	100	95.2322
-43.4	43.4	100	100	95.2567
-43.5	43.5	100	100	95.2812
-43.6	43.6	100	100	95.3058
-43.7	43.7	100	100	95.3303
-43.8	43.8	100	100	95.3548
-43.9	43.9	100	100	95.3793
-44.0	44.0	100	100	95.4038
-44.1	44.1	100	100	95.4284
-44.2	44.2	100	100	95.4529
-44.3	44.3	100	100	95.4774
-44.4	44.4	100	100	95.5019
-44.5	44.5	100	100	95.5264
-44.6	44.6	100	100	95.551
-44.7	44.7	100	100	95.5755
-44.8	44.8	100	100	95.6
-44.9	44.9	100	100	95.6245
-45.0	45.0	100	100	95.649
-45.1	45.1	100	100	95.6736
-45.2	45.2	100	100	95.6981
-45.3	45.3	100	100	95.7226
-45.4	45.4	100	100	95.7471
-45.5	45.5	100	100	95.7716
-45.6	45.6	100	100	95.7962
-45.7	45.7	100	100	95.8207
-45.8	45.8	100	100	95.8452
-45.9	45.9	100	100	95.8697
-46.0	46.0	100	100	95.8942
-46.1	46.1	100	100	95.9188
-46.2	46.2	100	100	95.9433
-46.3	46.3	100	100	95.9678
-46.4	46.4	100	100	95.9923
-46.5	46.5	100	100	96.0168
-46.6	46.6	100	100	96.0413
-46.7	46.7	100	100	96.0659
-46.8	46.8	100	100	96.0904
-46.9	46.9	100	100	96.1149
-47.0	47.0	100	100	96.1394
-47.1	47.1	100	100	96.1639
-47.2	47.2	100	100	96.1885
-47.3	47.3	100	100	96.213
-47.4	47.4	100	100	96.2375
-47.5	47.5	100	100	96.262
-47.6	47.6	100	100	96.2865
-47.7	47.7	100	100	96.3111
-47.8	47.8	100	100	96.3356
-47.9	47.9	100	100	96.3601
-48.0	48.0	100	100	96.3846
-48.1	48.1	100	100	96.4091
-48.2	48.2	100	100	96.4337
-48.3	48.3	100	100	96.4582
-48.4	48.4	100	100	96.4827
-48.5	48.5	100	100	96.5072
-48.6	48.6	100	100	96.5317
-48.7	48.7	100	100	96.5563
-48.8	48.8	100	100	96.5808
-48.9	48.9	100	100	96.6053
-49.0	49.0	100	100	96.6298
-49.1	49.1	100	100	96.6543
-49.2	49.2	100	100	96.6788
-49.3	49.3	100	100	96.7034
-49.4	49.4	100	100	96.7279
-49.5	49.5	100	100	96.7524
-49.6	49.6	100	100	96.7769
-49.7	49.7	100	100	96.8014
-49.8	49.8	100	100	96.826
-49.9	49.9	100	100	96.8505
-50.0	50.0	100	100	96.875
-50.1	50.1	100	100	96.8995
-50.2	50.2	100	100	96.924
-50.3	50.3	100	100	96.9486
-50.4	50.4	100	100	96.9731
-50.5	50.5	100	100	96.9976
-50.6	50.6	100	100	97.0221
-50.7	50.7	100	100	97.0466
-50.8	50.8	100	100	97.0712
-50.9	50.9	100	100	97.0957
-51.0	51.0	100	100	97.1202
-51.1	51.1	100	100	97.1447
-51.2	51.2	100	100	97.1692
-51.3	51.3	100	100	97.1937
-51.4	51.4	100	100	97.2183
-51.5	51.5	100	100	97.2428
-51.6	51.6	100	100	97.2673
-51.7	51.7	100	100	97.2918
-51.8	51.8	100	100	97.3163
-51.9	51.9	100	100	97.3409
-52.0	52.0	100	100	97.3654
-52.1	52.1	100	100	97.3899
-52.2	52.2	100	100	97.4144
-52.3	52.3	100	100	97.4389
-52.4	52.4	100	100	97.4635
-52.5	52.5	100	100	97.488
-52.6	52.6	100	100	97.5125
-52.7	52.7	100	100	97.537
-52.8	52.8	100	100	97.5615
-52.9	52.9	100	100	97.5861
-53.0	53.0	100	100	97.6106
-53.1	53.1	100	100	97.6351
-53.2	53.2	100	100	97.6596
-53.3	53.3	100	100	97.6841
-53.4	53.4	100	100	97.7087
-53.5	53.5	100	100	97.7332
-53.6	53.6	100	100	97.7577
-53.7	53.7	100	100	97.7822
-53.8	53.8	100	100	97.8067
-53.9	53.9	100	100	97.8312
-54.0	54.0	100	100	97.8558
-54.1	54.1	100	100	97.8803
-54.2	54.2	100	100	97.9048
-54.3	54.3	100	100	97.9293
-54.4	54.4	100	100	97.9538
-54.5	54.5	100	100	97.9784
-54.6	54.6	100	100	98.0029
-54.7	54.7	100	100	98.0274
-54.8	54.8	100	100	98.0519
-54.9	54.9	100	100	98.0764
-55.0	55.0	100	100	98.101
-55.1	55.1	100	100	98.1255
-55.2	55.2	100	100	98.15
-55.3	55.3	100	100	98.1745
-55.4	55.4	100	100	98.199
-55.5	55.5	100	100	98.2236
-55.6	55.6	100	100	98.2481
-55.7	55.7	100	100	98.2726
-55.8	55.8	100	100	98.2971
-55.9	55.9	100	100	98.3216
-56.0	56.0	100	100	98.3462
-56.1	56.1	100	100	98.3707
-56.2	56.2	100	100	98.3952
-56.3	56.3	100	100	98.4197
-56.4	56.4	100	100	98.4442
-56.5	56.5	100	100	98.4688
-56.6	56.6	100	100	98.4933
-56.7	56.7	100	100	98.5178
-56.8	56.8	100	100	98.5423
-56.9	56.9	100	100	98.5668
-57.0	57.0	100	100	98.5913
-57.1	57.1	100	100	98.6159
-57.2	57.2	100	100	98.6404
-57.3	57.3	100	100	98.6649
-57.4	57.4	100	100	98.6894
-57.5	57.5	100	100	98.7139
-57.6	57.6	100	100	98.7385
-57.7	57.7	100	100	98.763
-57.8	57.8	100	100	98.7875
-57.9	57.9	100	100	98.812
-58.0	58.0	100	100	98.8365
-58.1	58.1	100	100	98.8611
-58.2	58.2	100	100	98.8856
-58.3	58.3	100	100	98.9101
-58.4	58.4	100	100	98.9346
-58.5	58.5	100	100	98.9591
-58.6	58.6	100	100	98.9837
-58.7	58.7	100	100	99.0082
-58.8	58.8	100	100	99.0327
-58.9	58.9	100	100	99.0572
-59.0	59.0	100	100	99.0817
-59.1	59.1	100	100	99.1062
-59.2	59.2	100	100	99.1308
-59.3	59.3	100	100	99.1553
-59.4	59.4	100	100	99.1798
-59.5	59.5	100	100	99.2043
-59.6	59.6	100	100	99.2288
-59.7	59.7	100	100	99.2534
-59.8	59.8	100	100	99.2779
-59.9	59.9	100	100	99.3024
-60.0	60.0	100	100	99.3269
-60.1	60.1	100	100	99.3514
-60.2	60.2	100	100	99.376
-60.3	60.3	100	100	99.4005
-60.4	60.4	100	100	99.425
-60.5	60.5	100	100	99.4495
-60.6	60.6	100	100	99.474
-60.7	60.7	100	100	99.4986
-60.8	60.8	100	100	99.5231
-60.9	60.9	100	100	99.5476
-61.0	61.0	100	100	99.5721
-61.1	61.1	100	100	99.5966
-61.2	61.2	100	100	99.6212
-61.3	61.3	100	100	99.6457
-61.4	61.4	100	100	99.6702
-61.5	61.5	100	100	99.6947
-61.6	61.6	100	100	99.7192
-61.7	61.7	100	100	99.7437
-61.8	61.8	100	100	99.7683
-61.9	61.9	100	100	99.7928
-62.0	62.0	100	100	99.8173
-62.1	62.1	100	100	99.8418
-62.2	62.2	100	100	99.8663
-62.3	62.3	100	100	99.8909
-62.4	62.4	100	100	99.9154
-62.5	62.5	100	100	99.9399
-62.6	62.6	100	100	99.9644
-62.7	62.7	100	100	99.9889
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.251645
-0.2	0.2	0.536842	0.536842	0.503289
-0.3	0.3	0.805263	0.805263	0.754934
-0.4	0.4	1.07368	1.07368	1.00658
-0.5	0.5	1.34211	1.34211	1.25822
-0.6	0.6	1.61053	1.61053	1.50987
-0.7	0.7	1.87895	1.87895	1.76151
-0.8	0.8	2.14737	2.14737	2.01316
-0.9	0.9	2.41579	2.41579	2.2648
-1.0	1.0	2.68421	2.68421	2.51645
-1.1	1.1	2.95263	2.95263	2.76809
-1.2	1.2	3.22105	3.22105	3.01974
-1.3	1.3	3.48947	3.48947	3.27138
-1.4	1.4	3.75789	3.75789	3.52303
-1.5	1.5	4.02632	4.02632	3.77467
-1.6	1.6	4.29474	4.29474	4.02632
-1.7	1.7	4.56316	4.56316	4.27796
-1.8	1.8	4.83158	4.83158	4.52961
-1.9	1.9	5.1	5.1	4.78125
-2.0	2.0	5.36842	5.36842	5.03289
-2.1	2.1	5.63684	5.63684	5.28454
-2.2	2.2	5.90526	5.90526	5.53618
-2.3	2.3	6.17368	6.17368	5.78783
-2.4	2.4	6.44211	6.44211	6.03947
-2.5	2.5	6.71053	6.71053	6.29112
-2.6	2.6	6.97895	6.97895	6.54276
-2.7	2.7	7.24737	7.24737	6.79441
-2.8	2.8	7.51579	7.51579	7.04605
-2.9	2.9	7.78421	7.78421	7.2977
-3.0	3.0	8.05263	8.05263	7.54934
-3.1	3.1	8.32105	8.32105	7.80099
-3.2	3.2	8.58947	8.58947	8.05263
-3.3	3.3	8.85789	8.85789	8.30428
-3.4	3.4	9.12632	9.12632	8.55592
-3.5	3.5	9.39474	9.39474	8.80757
-3.6	3.6	9.66316	9.66316	9.05921
-3.7	3.7	9.93158	9.93158	9.31086
-3.8	3.8	10.2	10.2	9.5625
-3.9	3.9	10.4684	10.4684	9.81414
-4.0	4.0	10.7368	10.7368	10.0658
-4.1	4.1	11.0053	11.0053	10.3174
-4.2	4.2	11.2737	11.2737	10.5691
-4.3	4.3	11.5421	11.5421	10.8207
-4.4	4.4	11.8105	11.8105	11.0724
-4.5	4.5	12.0789	12.0789	11.324
-4.6	4.6	12.3474	12.3474	11.5757
-4.7	4.7	12.6158	12.6158	11.8273
-4.8	4.8	12.8842	12.8842	12.0789
-4.9	4.9	13.1526	13.1526	12.3306
-5.0	5.0	13.4211	13.4211	12.5822
-5.1	5.1	13.6895	13.6895	12.8339
-5.2	5.2	13.9579	13.9579	13.0855
-5.3	5.3	14.2263	14.2263	13.3372
-5.4	5.4	14.4947	14.4947	13.5888
-5.5	5.5	14.7632	14.7632	13.8405
-5.6	5.6	15.0316	15.0316	14.0921
-5.7	5.7	15.3	15.3	14.3438
-5.8	5.8	15.5684	15.5684	14.5954
-5.9	5.9	15.8368	15.8368	14.847
-6.0	6.0	16.1053	16.1053	15.0987
-6.1	6.1	16.3737	16.3737	15.3503
-6.2	6.2	16.6421	16.6421	15.602
-6.3	6.3	16.9105	16.9105	15.8536
-6.4	6.4	17.1789	17.1789	16.1053
-6.5	6.5	17.4474	17.4474	16.3569
-6.6	6.6	17.7158	17.7158	16.6086
-6.7	6.7	17.9842	17.9842	16.8602
-6.8	6.8	18.2526	18.2526	17.1118
-6.9	6.9	18.5211	18.5211	17.3635
-7.0	7.0	18.7895	18.7895	17.6151
-7.1	7.1	19.0579	19.0579	17.8668
-7.2	7.2	19.3263	19.3263	18.1184
-7.3	7.3	19.5947	19.5947	18.3701
-7.4	7.4	19.8632	19.8632	18.6217
-7.5	7.5	20.1316	20.1316	18.8734
-7.6	7.6	20.4	20.4	19.125
-7.7	7.7	20.6684	20.6684	19.3766
-7.8	7.8	20.9368	20.9368	19.6283
-7.9	7.9	21.2053	21.2053	19.8799
-8.0	8.0	21.4737	21.4737	20.1316
-8.1	8.1	21.7421	21.7421	20.3832
-8.2	8.2	22.0105	22.0105	20.6349
-8.3	8.3	22.2789	22.2789	20.8865
-8.4	8.4	22.5474	22.5474	21.1382
-8.5	8.5	22.8158	22.8158	21.3898
-8.6	8.6	23.0842	23.0842	21.6414
-8.7	8.7	23.3526	23.3526	21.8931
-8.8	8.8	23.6211	23.6211	22.1447
-8.9	8.9	23.8895	23.8895	22.3964
-9.0	9.0	24.1579	24.1579	22.648
-9.1	9.1	24.4263	24.4263	22.8997
-9.2	9.2	24.6947	24.6947	23.1513
-9.3	9.3	24.9632	24.9632	23.403
-9.4	9.4	25.2316	25.2316	23.6546
-9.5	9.5	25.5	25.5	23.9062
-9.6	9.6	25.7684	25.7684	24.1579
-9.7	9.7	26.0368	26.0368	24.4095
-9.8	9.8	26.3053	26.3053	24.6612
-9.9	9.9	26.5737	26.5737	24.9128
-10.0	10.0	26.8421	26.8421	25.1645
-10.1	10.1	27.1105	27.1105	25.4161
-10.2	10.2	27.3789	27.3789	25.6678
-10.3	10.3	27.6474	27.6474	25.9194
-10.4	10.4	27.9158	27.9158	26.1711
-10.5	10.5	28.1842	28.1842	26.4227
-10.6	10.6	28.4526	28.4526	26.6743
-10.7	10.7	28.7211	28.7211	26.926
-10.8	10.8	28.9895	28.9895	27.1776
-10.9	10.9	29.2579	29.2579	27.4293
-11.0	11.0	29.5263	29.5263	27.6809
-11.1	11.1	29.7947	29.7947	27.9326
-11.2	11.2	30.0632	30.0632	28.1842
-11.3	11.3	30.3316	30.3316	28.4359
-11.4	11.4	30.6	30.6	28.6875
-11.5	11.5	30.8684	30.8684	28.9391
-11.6	11.6	31.1368	31.1368	29.1908
-11.7	11.7	31.4053	31.4053	29.4424
-11.8	11.8	31.6737	31.6737	29.6941
-11.9	11.9	31.9421	31.9421	29.9457
-12.0	12.0	32.2105	32.2105	30.1974
-12.1	12.1	32.4789	32.4789	30.449
-12.2	12.2	32.7474	32.7474	30.7007
-12.3	12.3	33.0158	33.0158	30.9523
-12.4	12.4	33.2842	33.2842	31.2039
-12.5	12.5	33.5526	33.5526	31.4556
-12.6	12.6	33.8211	33.8211	31.7072
-12.7	12.7	34.0895	34.0895	31.9589
-12.8	12.8	34.3579	34.3579	32.2105
-12.9	12.9	34.6263	34.6263	32.4622
-13.0	13.0	34.8947	34.8947	32.7138
-13.1	13.1	35.1632	35.1632	32.9655
-13.2	13.2	35.4316	35.4316	33.2171
-13.3	13.3	35.7	35.7	33.4688
-13.4	13.4	35.9684	35.9684	33.7204
-13.5	13.5	36.2368	36.2368	33.972
-13.6	13.6	36.5053	36.5053	34.2237
-13.7	13.7	36.7737	36.7737	34.4753
-13.8	13.8	37.0421	37.0421	34.727
-13.9	13.9	37.3105	37.3105	34.9786
-14.0	14.0	37.5789	37.5789	35.2303
-14.1	14.1	37.8474	37.8474	35.4819
-14.2	14.2	38.1158	38.1158	35.7336
-14.3	14.3	38.3842	38.3842	35.9852
-14.4	14.4	38.6526	38.6526	36.2368
-14.5	14.5	38.9211	38.9211	36.4885
-14.6	14.6	39.1895	39.1895	36.7401
-14.7	14.7	39.4579	39.4579	36.9918
-14.8	14.8	39.7263	39.7263	37.2434
-14.9	14.9	39.9947	39.9947	37.4951
-15.0	15.0	40.2632	40.2632	37.7467
-15.1	15.1	40.5316	40.5316	37.9984
-15.2	15.2	40.8	40.8	38.25
-15.3	15.3	41.0684	41.0684	38.5016
-15.4	15.4	41.3368	41.3368	38.7533
-15.5	15.5	41.6053	41.6053	39.0049
-15.6	15.6	41.8737	41.8737	39.2566
-15.7	15.7	42.1421	42.1421	39.5082
-15.8	15.8	42.4105	42.4105	39.7599
-15.9	15.9	42.6789	42.6789	40.0115
-16.0	16.0	42.9474	42.9474	40.2632
-16.1	16.1	43.2158	43.2158	40.5148
-16.2	16.2	43.4842	43.4842	40.7664
-16.3	16.3	43.7526	43.7526	41.0181
-16.4	16.4	44.0211	44.0211	41.2697
-16.5	16.5	44.2895	44.2895	41.5214
-16.6	16.6	44.5579	44.5579	41.773
-16.7	16.7	44.8263	44.8263	42.0247
-16.8	16.8	45.0947	45.0947	42.2763
-16.9	16.9	45.3632	45.3632	42.528
-17.0	17.0	45.6316	45.6316	42.7796
-17.1	17.1	45.9	45.9	43.0312
-17.2	17.2	46.1684	46.1684	43.2829
-17.3	17.3	46.4368	46.4368	43.5345
-17.4	17.4	46.7053	46.7053	43.7862
-17.5	17.5	46.9737	46.9737	44.0378
-17.6	17.6	47.2421	47.2421	44.2895
-17.7	17.7	47.5105	47.5105	44.5411
-17.8	17.8	47.7789	47.7789	44.7928
-17.9	17.9	48.0474	48.0474	45.0444
-18.0	18.0	48.3158	48.3158	45.2961
-18.1	18.1	48.5842	48.5842	45.5477
-18.2	18.2	48.8526	48.8526	45.7993
-18.3	18.3	49.1211	49.1211	46.051
-18.4	18.4	49.3895	49.3895	46.3026
-18.5	18.5	49.6579	49.6579	46.5543
-18.6	18.6	49.9263	49.9263	46.8059
-18.7	18.7	50.1947	50.1947	47.0576
-18.8	18.8	50.4632	50.4632	47.3092
-18.9	18.9	50.7316	50.7316	47.5609
-19.0	19.0	51	51	47.8125
-19.1	19.1	51.2684	51.2684	48.0641
-19.2	19.2	51.5368	51.5368	48.3158
-19.3	19.3	51.8053	51.8053	48.5674
-19.4	19.4	52.0737	52.0737	48.8191
-19.5	19.5	52.3421	52.3421	49.0707
-19.6	19.6	52.6105	52.6105	49.3224
-19.7	19.7	52.8789	52.8789	49.574
-19.8	19.8	53.1474	53.1474	49.8257
-19.9	19.9	53.4158	53.4158	50.0773
-20.0	20.0	53.6842	53.6842	50.3289
-20.1	20.1	53.9526	53.9526	50.5806
-20.2	20.2	54.2211	54.2211	50.8322
-20.3	20.3	54.4895	54.4895	51.0839
-20.4	20.4	54.7579	54.7579	51.3355
-20.5	20.5	55.0263	55.0263	51.5872
-20.6	20.6	55.2947	55.2947	51.8388
-20.7	20.7	55.5632	55.5632	52.0905
-20.8	20.8	55.8316	55.8316	52.3421
-20.9	20.9	56.1	56.1	52.5937
-21.0	21.0	56.3684	56.3684	52.8454
-21.1	21.1	56.6368	56.6368	53.097
-21.2	21.2	56.9053	56.9053	53.3487
-21.3	21.3	57.1737	57.1737	53.6003
-21.4	21.4	57.4421	57.4421	53.852
-21.5	21.5	57.7105	57.7105	54.1036
-21.6	21.6	57.9789	57.9789	54.3553
-21.7	21.7	58.2474	58.2474	54.6069
-21.8	21.8	58.5158	58.5158	54.8586
-21.9	21.9	58.7842	58.7842	55.1102
-22.0	22.0	59.0526	59.0526	55.3618
-22.1	22.1	59.3211	59.3211	55.6135
-22.2	22.2	59.5895	59.5895	55.8651
-22.3	22.3	59.8579	59.8579	56.1168
-22.4	22.4	60.1263	60.1263	56.3684
-22.5	22.5	60.3947	60.3947	56.6201
-22.6	22.6	60.6632	60.6632	56.8717
-22.7	22.7	60.9316	60.9316	57.1234
-22.8	22.8	61.2	61.2	57.375
-22.9	22.9	61.4684	61.4684	57.6266
-23.0	23.0	61.7368	61.7368	57.8783
-23.1	23.1	62.0053	62.0053	58.1299
-23.2	23.2	62.2737	62.2737	58.3816
-23.3	23.3	62.5421	62.5421	58.6332
-23.4	23.4	62.8105	62.8105	58.8849
-23.5	23.5	63.0789	63.0789	59.1365
-23.6	23.6	63.3474	63.3474	59.3882
-23.7	23.7	63.6158	63.6158	59.6398
-23.8	23.8	63.8842	63.8842	59.8914
-23.9	23.9	64.1526	64.1526	60.1431
-24.0	24.0	64.4211	64.4211	60.3947
-24.1	24.1	64.6895	64.6895	60.6464
-24.2	24.2	64.9579	64.9579	60.898
-24.3	24.3	65.2263	65.2263	61.1497
-24.4	24.4	65.4947	65.4947	61.4013
-24.5	24.5	65.7632	65.7632	61.653
-24.6	24.6	66.0316	66.0316	61.9046
-24.7	24.7	66.3	66.3	62.1562
-24.8	24.8	66.5684	66.5684	62.4079
-24.9	24.9	66.8368	66.8368	62.6595
-25.0	25.0	67.1053	67.1053	62.9112
-25.1	25.1	67.3737	67.3737	63.1628
-25.2	25.2	67.6421	67.6421	63.4145
-25.3	25.3	67.9105	67.9105	63.6661
-25.4	25.4	68.1789	68.1789	63.9178
-25.5	25.5	68.4474	68.4474	64.1694
-25.6	25.6	68.7158	68.7158	64.4211
-25.7	25.7	68.9842	68.9842	64.6727
-25.8	25.8	69.2526	69.2526	64.9243
-25.9	25.9	69.5211	69.5211	65.176
-26.0	26.0	69.7895	69.7895	65.4276
-26.1	26.1	70.0579	70.0579	65.6793
-26.2	26.2	70.3263	70.3263	65.9309
-26.3	26.3	70.5947	70.5947	66.1826
-26.4	26.4	70.8632	70.8632	66.4342
-26.5	26.5	71.1316	71.1316	66.6859
-26.6	26.6	71.4	71.4	66.9375
-26.7	26.7	71.6684	71.6684	67.1891
-26.8	26.8	71.9368	71.9368	67.4408
-26.9	26.9	72.2053	72.2053	67.6924
-27.0	27.0	72.4737	72.4737	67.9441
-27.1	27.1	72.7421	72.7421	68.1957
-27.2	27.2	73.0105	73.0105	68.4474
-27.3	27.3	73.2789	73.2789	68.699
-27.4	27.4	73.5474	73.5474	68.9507
-27.5	27.5	73.8158	73.8158	69.2023
-27.6	27.6	74.0842	74.0842	69.4539
-27.7	27.7	74.3526	74.3526	69.7056
-27.8	27.8	74.6211	74.6211	69.9572
-27.9	27.9	74.8895	74.8895	70.2089
-28.0	28.0	75.1579	75.1579	70.4605
-28.1	28.1	75.4263	75.4263	70.7122
-28.2	28.2	75.6947	75.6947	70.9638
-28.3	28.3	75.9632	75.9632	71.2155
-28.4	28.4	76.2316	76.2316	71.4671
-28.5	28.5	76.5	76.5	71.7188
-28.6	28.6	76.7684	76.7684	71.9704
-28.7	28.7	77.0368	77.0368	72.222
-28.8	28.8	77.3053	77.3053	72.4737
-28.9	28.9	77.5737	77.5737	72.7253
-29.0	29.0	77.8421	77.8421	72.977
-29.1	29.1	78.1105	78.1105	73.2286
-29.2	29.2	78.3789	78.3789	73.4803
-29.3	29.3	78.6474	78.6474	73.7319
-29.4	29.4	78.9158	78.9158	73.9836
-29.5	29.5	79.1842	79.1842	74.2352
-29.6	29.6	79.4526	79.4526	74.4868
-29.7	29.7	79.7211	79.7211	74.7385
-29.8	29.8	79.9895	79.9895	74.9901
-29.9	29.9	80.2579	80.2579	75.2418
-30.0	30.0	80.5263	80.5263	75.4934
-30.1	30.1	80.7947	80.7947	75.7451
-30.2	30.2	81.0632	81.0632	75.9967
-30.3	30.3	81.3316	81.3316	76.2484
-30.4	30.4	81.6	81.6	76.5
-30.5	30.5	81.8684	81.8684	76.7516
-30.6	30.6	82.1368	82.1368	77.0033
-30.7	30.7	82.4053	82.4053	77.2549
-30.8	30.8	82.6737	82.6737	77.5066
-30.9	30.9	82.9421	82.9421	77.7582
-31.0	31.0	83.2105	83.2105	78.0099
-31.1	31.1	83.4789	83.4789	78.2615
-31.2	31.2	83.7474	83.7474	78.5132
-31.3	31.3	84.0158	84.0158	78.7648
-31.4	31.4	84.2842	84.2842	78.9658
-31.5	31.5	84.5526	84.5526	79.0329
-31.6	31.6	84.8211	84.8211	79.1
-31.7	31.7	85.0895	85.0895	79.1671
-31.8	31.8	85.3579	85.3579	79.2342
-31.9	31.9	85.6263	85.6263	79.3013
-32.0	32.0	85.8947	85.8947	79.3684
-32.1	32.1	86.1632	86.1632	79.4355
-32.2	32.2	86.4316	86.4316	79.5026
-32.3	32.3	86.7	86.7	79.5697
-32.4	32.4	86.9684	86.9684	79.6368
-32.5	32.5	87.2368	87.2368	79.7039
-32.6	32.6	87.5053	87.5053	79.7711
-32.7	32.7	87.7737	87.7737	79.8382
-32.8	32.8	88.0421	88.0421	79.9053
-32.9	32.9	88.3105	88.3105	79.9724
-33.0	33.0	88.5789	88.5789	80.0395
-33.1	33.1	88.8474	88.8474	80.1066
-33.2	33.2	89.1158	89.1158	80.1737
-33.3	33.3	89.3842	89.3842	80.2408
-33.4	33.4	89.6526	89.6526	80.3079
-33.5	33.5	89.9211	89.9211	80.375
-33.6	33.6	90.1895	90.1895	80.4421
-33.7	33.7	90.4579	90.4579	80.5092
-33.8	33.8	90.7263	90.7263	80.5763
-33.9	33.9	90.9947	90.9947	80.6434
-34.0	34.0	91.2632	91.2632	80.7105
-34.1	34.1	91.5316	91.5316	80.7776
-34.2	34.2	91.8	91.8	80.8447
-34.3	34.3	92.0684	92.0684	80.9118
-34.4	34.4	92.3368	92.3368	80.9789
-34.5	34.5	92.6053	92.6053	81.0461
-34.6	34.6	92.8737	92.8737	81.1132
-34.7	34.7	93.1421	93.1421	81.1803
-34.8	34.8	93.4105	93.4105	81.2474
-34.9	34.9	93.6789	93.6789	81.3145
-35.0	35.0	93.9474	93.9474	81.3816
-35.1	35.1	94.2158	94.2158	81.4487
-35.2	35.2	94.4842	94.4842	81.5158
-35.3	35.3	94.7526	94.7526	81.5829
-35.4	35.4	95.0211	95.0211	81.65
-35.5	35.5	95.2895	95.2895	81.7171
-35.6	35.6	95.5579	95.5579	81.7842
-35.7	35.7	95.8263	95.8263	81.8513
-35.8	35.8	96.0947	96.0947	81.9184
-35.9	35.9	96.3632	96.3632	81.9855
-36.0	36.0	96.6316	96.6316	82.0526
-36.1	36.1	96.9	96.9	82.1197
-36.2	36.2	97.1684	97.1684	82.1868
-36.3	36.3	97.4368	97.4368	82.2539
-36.4	36.4	97.7053	97.7053	82.3211
-36.5	36.5	97.9737	97.9737	82.3882
-36.6	36.6	98.2421	98.2421	82.4553
-36.7	36.7	98.5105	98.5105	82.5224
-36.8	36.8	98.7789	98.7789	82.5895
-36.9	36.9	99.0474	99.0474	82.6566
-37.0	37.0	99.3158	99.3158	82.7237
-37.1	37.1	99.5842	99.5842	82.7908
-37.2	37.2	99.8526	99.8526	82.8579
-37.3	37.3	100	100	82.925
-37.4	37.4	100	100	82.9921
-37.5	37.5	100	100	83.0592
-37.6	37.6	100	100	83.1263
-37.7	37.7	100	100	83.1934
-37.8	37.8	100	100	83.2605
-37.9	37.9	100	100	83.3276
-38.0	38.0	100	100	83.3947
-38.1	38.1	100	100	83.4618
-38.2	38.2	100	100	83.5289
-38.3	38.3	100	100	83.5961
-38.4	38.4	100	100	83.6632
-38.5	38.5	100	100	83.7303
-38.6	38.6	100	100	83.7974
-38.7	38.7	100	100	83.8645
-38.8	38.8	100	100	83.9316
-38.9	38.9	100	100	83.9987
-39.0	39.0	100	100	84.0658
-39.1	39.1	100	100	84.1329
-39.2	39.2	100	100	84.2
-39.3	39.3	100	100	84.2671
-39.4	39.4	100	100	84.3342
-39.5	39.5	100	100	84.4013
-39.6	39.6	100	100	84.4684
-39.7	39.7	100	100	84.5355
-39.8	39.8	100	100	84.6026
-39.9	39.9	100	100	84.6697
-40.0	40.0	100	100	84.7368
-40.1	40.1	100	100	84.8039
-40.2	40.2	100	100	84.8711
-40.3	40.3	100	100	84.9382
-40.4	40.4	100	100	85.0053
-40.5	40.5	100	100	85.0724
-40.6	40.6	100	100	85.1395
-40.7	40.7	100	100	85.2066
-40.8	40.8	100	100	85.2737
-40.9	40.9	100	100	85.3408
-41.0	41.0	100	100	85.4079
-41.1	41.1	100	100	85.475
-41.2	41.2	100	100	85.5421
-41.3	41.3	100	100	85.6092
-41.4	41.4	100	100	85.6763
-41.5	41.5	100	100	85.7434
-41.6	41.6	100	100	85.8105
-41.7	41.7	100	100	85.8776
-41.8	41.8	100	100	85.9447
-41.9	41.9	100	100	86.0118
-42.0	42.0	100	100	86.0789
-42.1	42.1	100	100	86.1461
-42.2	42.2	100	100	86.2132
-42.3	42.3	100	100	86.2803
-42.4	42.4	100	100	86.3474
-42.5	42.5	100	100	86.4145
-42.6	42.6	100	100	86.4816
-42.7	42.7	100	100	86.5487
-42.8	42.8	100	100	86.6158
-42.9	42.9	100	100	86.6829
-43.0	43.0	100	100	86.75
-43.1	43.1	100	100	86.8171
-43.2	43.2	100	100	86.8842
-43.3	43.3	100	100	86.9513
-43.4	43.4	100	100	87.0184
-43.5	43.5	100	100	87.0855
-43.6	43.6	100	100	87.1526
-43.7	43.7	100	100	87.2197
-43.8	43.8	100	100	87.2868
-43.9	43.9	100	100	87.3539
-44.0	44.0	100	100	87.4211
-44.1	44.1	100	100	87.4882
-44.2	44.2	100	100	87.5553
-44.3	44.3	100	100	87.6224
-44.4	44.4	100	100	87.6895
-44.5	44.5	100	100	87.7566
-44.6	44.6	100	100	87.8237
-44.7	44.7	100	100	87.8908
-44.8	44.8	100	100	87.9579
-44.9	44.9	100	100	88.025
-45.0	45.0	100	100	88.0921
-45.1	45.1	100	100	88.1592
-45.2	45.2	100	100	88.2263
-45.3	45.3	100	100	88.2934
-45.4	45.4	100	100	88.3605
-45.5	45.5	100	100	88.4276
-45.6	45.6	100	100	88.4947
-45.7	45.7	100	100	88.5618
-45.8	45.8	100	100	88.6289
-45.9	45.9	100	100	88.6961
-46.0	46.0	100	100	88.7632
-46.1	46.1	100	100	88.8303
-46.2	46.2	100	100	88.8974
-46.3	46.3	100	100	88.9645
-46.4	46.4	100	100	89.0316
-46.5	46.5	100	100	89.0987
-46.6	46.6	100	100	89.1658
-46.7	46.7	100	100	89.2329
-46.8	46.8	100	100	89.3
-46.9	46.9	100	100	89.3671
-47.0	47.0	100	100	89.4342
-47.1	47.1	100	100	89.5013
-47.2	47.2	100	100	89.5684
-47.3	47.3	100	100	89.6355
-47.4	47.4	100	100	89.7026
-47.5	47.5	100	100	89.7697
-47.6	47.6	100	100	89.8368
-47.7	47.7	100	100	89.9039
-47.8	47.8	100	100	89.9711
-47.9	47.9	100	100	90.0382
-48.0	48.0	100	100	90.1053
-48.1	48.1	100	100	90.1724
-48.2	48.2	100	100	90.2395
-48.3	48.3	100	100	90.3066
-48.4	48.4	100	100	90.3737
-48.5	48.5	100	100	90.4408
-48.6	48.6	100	100	90.5079
-48.7	48.7	100	100	90.575
-48.8	48.8	100	100	90.6421
-48.9	48.9	100	100	90.7092
-49.0	49.0	100	100	90.7763
-49.1	49.1	100	100	90.8434
-49.2	49.2	100	100	90.9105
-49.3	49.3	100	100	90.9776
-49.4	49.4	100	100	91.0447
-49.5	49.5	100	100	91.1118
-49.6	49.6	100	100	91.1789
-49.7	49.7	100	100	91.2461
-49.8	49.8	100	100	91.3132
-49.9	49.9	100	100	91.3803
-50.0	50.0	100	100	91.4474
-50.1	50.1	100	100	91.5145
-50.2	50.2	100	100	91.5816
-50.3	50.3	100	100	91.6487
-50.4	50.4	100	100	91.7158
-50.5	50.5	100	100	91.7829
-50.6	50.6	100	100	91.85
-50.7	50.7	100	100	91.9171
-50.8	50.8	100	100	91.9842
-50.9	50.9	100	100	92.0513
-51.0	51.0	100	100	92.1184
-51.1	51.1	100	100	92.1855
-51.2	51.2	100	100	92.2526
-51.3	51.3	100	100	92.3197
-51.4	51.4	100	100	92.3868
-51.5	51.5	100	100	92.4539
-51.6	51.6	100	100	92.5211
-51.7	51.7	100	100	92.5882
-51.8	51.8	100	100	92.6553
-51.9	51.9	100	100	92.7224
-52.0	52.0	100	100	92.7895
-52.1	52.1	100	100	92.8566
-52.2	52.2	100	100	92.9237
-52.3	52.3	100	100	92.9908
-52.4	52.4	100	100	93.0579
-52.5	52.5	100	100	93.125
-52.6	52.6	100	100	93.1921
-52.7	52.7	100	100	93.2592
-52.8	52.8	100	100	93.3263
-52.9	52.9	100	100	93.3934
-53.0	53.0	100	100	93.4605
-53.1	53.1	100	100	93.5276
-53.2	53.2	100	100	93.5947
-53.3	53.3	100	100	93.6618
-53.4	53.4	100	100	93.7289
-53.5	53.5	100	100	93.7961
-53.6	53.6	100	100	93.8632
-53.7	53.7	100	100	93.9303
-53.8	53.8	100	100	93.9974
-53.9	53.9	100	100	94.0645
-54.0	54.0	100	100	94.1316
-54.1	54.1	100	100	94.1987
-54.2	54.2	100	100	94.2658
-54.3	54.3	100	100	94.3329
-54.4	54.4	100	100	94.4
-54.5	54.5	100	100	94.4671
-54.6	54.6	100	100	94.5342
-54.7	54.7	100	100	94.6013
-54.8	54.8	100	100	94.6684
-54.9	54.9	100	100	94.7355
-55.0	55.0	100	100	94.8026
-55.1	55.1	100	100	94.8697
-55.2	55.2	100	100	94.9368
-55.3	55.3	100	100	95.0039
-55.4	55.4	100	100	95.0711
-55.5	55.5	100	100	95.1382
-55.6	55.6	100	100	95.2053
-55.7	55.7	100	100	95.2724
-55.8	55.8	100	100	95.3395
-55.9	55.9	100	100	95.4066
-56.0	56.0	100	100	95.4737
-56.1	56.1	100	100	95.5408
-56.2	56.2	100	100	95.6079
-56.3	56.3	100	100	95.675
-56.4	56.4	100	100	95.7421
-56.5	56.5	100	100	95.8092
-56.6	56.6	100	100	95.8763
-56.7	56.7	100	100	95.9434
-56.8	56.8	100	100	96.0105
-56.9	56.9	100	100	96.0776
-57.0	57.0	100	100	96.1447
-57.1	57.1	100	100	96.2118
-57.2	57.2	100	100	96.2789
-57.3	57.3	100	100	96.3461
-57.4	57.4	100	100	96.4132
-57.5	57.5	100	100	96.4803
-57.6	57.6	100	100	96.5474
-57.7	57.7	100	100	96.6145
-57.8	57.8	100	100	96.6816
-57.9	57.9	100	100	96.7487
-58.0	58.0	100	100	96.8158
-58.1	58.1	100	100	96.8829
-58.2	58.2	100	100	96.95
-58.3	58.3	100	100	97.0171
-58.4	58.4	100	100	97.0842
-58.5	58.5	100	100	97.1513
-58.6	58.6	100	100	97.2184
-58.7	58.7	100	100	97.2855
-58.8	58.8	100	100	97.3526
-58.9	58.9	100	100	97.4197
-59.0	59.0	100	100	97.4868
-59.1	59.1	100	100	97.5539
-59.2	59.2	100	100	97.6211
-59.3	59.3	100	100	97.6882
-59.4	59.4	100	100	97.7553
-59.5	59.5	100	100	97.8224
-59.6	59.6	100	100	97.8895
-59.7	59.7	100	100	97.9566
-59.8	59.8	100	100	98.0237
-59.9	59.9	100	100	98.0908
-60.0	60.0	100	100	98.1579
-60.1	60.1	100	100	98.225
-60.2	60.2	100	100	98.2921
-60.3	60.3	100	100	98.3592
-60.4	60.4	100	100	98.4263
-60.5	60.5	100	100	98.4934
-60.6	60.6	100	100	98.5605
-60.7	60.7	100	100	98.6276
-60.8	60.8	100	100	98.6947
-60.9	60.9	100	100	98.7618
-61.0	61.0	100	100	98.8289
-61.1	61.1	100	100	98.8961
-61.2	61.2	100	100	98.9632
-61.3	61.3	100	100	99.0303
-61.4	61.4	100	100	99.0974
-61.5	61.5	100	100	99.1645
-61.6	61.6	100	100	99.2316
-61.7	61.7	100	100	99.2987
-61.8	61.8	100	100	99.3658
-61.9	61.9	100	100	99.4329
-62.0	62.0	100	100	99.5
-62.1	62.1	100	100	99.5671
-62.2	62.2	100	100	99.6342
-62.3	62.3	100	100	99.7013
-62.4	62.4	100	100	99.7684
-62.5	62.5	100	100	99.8355
-62.6	62.6	100	100	99.9026
-62.7	62.7	100	100	99.9697
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
diff --git a/tests/resources/analysis_results/ref_reports/IrisG.txt b/tests/resources/analysis_results/ref_reports/IrisG.txt
deleted file mode 100644
index 53dc13b0..00000000
--- a/tests/resources/analysis_results/ref_reports/IrisG.txt
+++ /dev/null
@@ -1,6373 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-Target descriptive stats
-	Values	3
-	Mode	Iris-versicolor
-	Mode frequency	37
-Target variable stats
-	Iris-setosa	31
-	Iris-versicolor	37
-	Iris-virginica	31
-Evaluated variables	11
-Informative variables	9
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	8.52714
-	Data cost	103.619
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	SPetalLength	Categorical	0.610351	3	3	5						4	32	3.09104	30.9202	9.95655	AsCategorical(Floor(PetalLength))
-R02	PetalLength	Numerical	0.60443	3	3	36	1	6.9	3.801010101	1.712137004	0			3.09104	32.848	8.69684	
-R03	PetalWidth	Numerical	0.593493	3	3	20	0.1	2.5	1.218181818	0.749863777	0			3.09104	32.8225	9.95655	
-R04	LowerPetalLength	Numerical	0.450217	2	2	9	1	3	2.517171717	0.7226550938	0			3.09104	14.4125	44.5336	If(LE(PetalLength, 3), PetalLength, 3)
-R05	Class2	Categorical	0.448377	2	2	2							62	3.09104	18.472	40.6817	IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R06	Class1	Categorical	0.414152	2	2	2							68	3.09104	18.4821	44.5336	IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R07	UpperPetalWidth	Numerical	0.287849	2	2	11	1.5	2.5	1.681818182	0.2962266524	0			3.09104	14.4438	62.8239	If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-R08	SepalLength	Numerical	0.25062	3	3	30	4.3	7.7	5.848484848	0.8065844732	0			3.09104	25.5757	55.893	
-R09	SepalWidth	Numerical	0.10454	2	2	22	2	4.4	3.042424242	0.4422374035	0			3.09104	16.563	81.3891	
-R10	Dummy1	Numerical	0	1	1	1	0	0	0	0	0			0.693147	8.52714	103.619	Copy(0)
-R11	Dummy2	Numerical	0	1	1	99	0.01372010867	0.9853969761	0.5371015665	0.2836682962	0			0.693147	8.52714	103.619	Random()
-
-Detailed variable statistics
-
-Rank	R01	SPetalLength	Categorical
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Value group	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-{4, 3}	36	0	2	0.311045
-{1}	0	31	0	0.374224
-{5, 6}	1	0	29	0.314731
-
-Input values
-	4	32
-	1	31
-	5	24
-	3	6
-	6	6
-
-Rank	R02	PetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Interval	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-]-inf;2.4]	0	31	0	0.366329
-]2.4;4.85]	34	0	0	0.340558
-]4.85;+inf[	3	0	31	0.293112
-
-Rank	R03	PetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.75]	0.7	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Interval	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-]-inf;0.7]	0	31	0	0.374224
-]0.7;1.75]	36	0	2	0.311045
-]1.75;+inf[	1	0	29	0.314731
-
-Rank	R04	LowerPetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-Cells
-Interval	{Iris-versicolor, Iris-virginica}	{Iris-setosa}	Interest
-]-inf;2.4]	0	31	0.584937
-]2.4;+inf[	68	0	0.415063
-
-Rank	R05	Class2	Categorical
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Class	Categorical	Value groups
-	{Iris-setosa, Iris-virginica}	Iris-setosa	Iris-virginica	 * 
-	{Iris-versicolor}	Iris-versicolor
-Cells
-Value group	{Iris-setosa, Iris-virginica}	{Iris-versicolor}	Interest
-{}	62	0	0.443449
-{versicolor}	0	37	0.556551
-
-Input values
-		62
-	versicolor	37
-
-Rank	R06	Class1	Categorical
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-Cells
-Value group	{Iris-versicolor, Iris-virginica}	{Iris-setosa}	Interest
-{}	68	0	0.415063
-{setosa}	0	31	0.584937
-
-Input values
-		68
-	setosa	31
-
-Rank	R07	UpperPetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-setosa}	Iris-versicolor	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Interval	{Iris-versicolor, Iris-setosa}	{Iris-virginica}	Interest
-]-inf;1.55]	64	2	0.430815
-]1.55;+inf[	4	29	0.569185
-
-Rank	R08	SepalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.15]	4.3	5.15
-	]5.15;5.75]	5.15	5.75
-	]5.75;+inf[	5.75	7.7
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Interval	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-]-inf;5.15]	2	21	0	0.422567
-]5.15;5.75]	13	10	1	0.122381
-]5.75;+inf[	22	0	30	0.455053
-
-Rank	R09	SepalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-Cells
-Interval	{Iris-versicolor, Iris-virginica}	{Iris-setosa}	Interest
-]-inf;3.35]	65	11	0.271773
-]3.35;+inf[	3	20	0.728227
-
-
-Report	Modeling
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	Class
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	4
-R2	Classifier	Univariate	Univariate SPetalLength	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PClass2	Class2	0.448377	0.515625	0.480827
-PLowerPetalLength	LowerPetalLength	0.450217	0.476562	0.463203
-PPetalLength	PetalLength	0.60443	0.0234375	0.119022
-PClass1	Class1	0.414152	0.0078125	0.056882
-
-
-Report	Evaluation	Train
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Classification analysis
-Target variable	Class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.981605	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.969697	0.884895	0.983648
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	37	0
-$Iris-virginica	0	0	31
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	31	0	0
-$Iris-versicolor	0	36	2
-$Iris-virginica	0	1	29
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Value group	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-{4, 3}	36	0	2	0.311045
-{1}	0	31	0	0.374224
-{5, 6}	1	0	29	0.314731
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.319355
-0.2	0.2	0.63871	0.63871	0.63871
-0.3	0.3	0.958065	0.958065	0.958065
-0.4	0.4	1.27742	1.27742	1.27742
-0.5	0.5	1.59677	1.59677	1.59677
-0.6	0.6	1.91613	1.91613	1.91613
-0.7	0.7	2.23548	2.23548	2.23548
-0.8	0.8	2.55484	2.55484	2.55484
-0.9	0.9	2.87419	2.87419	2.87419
-1.0	1.0	3.19355	3.19355	3.19355
-1.1	1.1	3.5129	3.5129	3.5129
-1.2	1.2	3.83226	3.83226	3.83226
-1.3	1.3	4.15161	4.15161	4.15161
-1.4	1.4	4.47097	4.47097	4.47097
-1.5	1.5	4.79032	4.79032	4.79032
-1.6	1.6	5.10968	5.10968	5.10968
-1.7	1.7	5.42903	5.42903	5.42903
-1.8	1.8	5.74839	5.74839	5.74839
-1.9	1.9	6.06774	6.06774	6.06774
-2.0	2.0	6.3871	6.3871	6.3871
-2.1	2.1	6.70645	6.70645	6.70645
-2.2	2.2	7.02581	7.02581	7.02581
-2.3	2.3	7.34516	7.34516	7.34516
-2.4	2.4	7.66452	7.66452	7.66452
-2.5	2.5	7.98387	7.98387	7.98387
-2.6	2.6	8.30323	8.30323	8.30323
-2.7	2.7	8.62258	8.62258	8.62258
-2.8	2.8	8.94194	8.94194	8.94194
-2.9	2.9	9.26129	9.26129	9.26129
-3.0	3.0	9.58065	9.58065	9.58065
-3.1	3.1	9.9	9.9	9.9
-3.2	3.2	10.2194	10.2194	10.2194
-3.3	3.3	10.5387	10.5387	10.5387
-3.4	3.4	10.8581	10.8581	10.8581
-3.5	3.5	11.1774	11.1774	11.1774
-3.6	3.6	11.4968	11.4968	11.4968
-3.7	3.7	11.8161	11.8161	11.8161
-3.8	3.8	12.1355	12.1355	12.1355
-3.9	3.9	12.4548	12.4548	12.4548
-4.0	4.0	12.7742	12.7742	12.7742
-4.1	4.1	13.0935	13.0935	13.0935
-4.2	4.2	13.4129	13.4129	13.4129
-4.3	4.3	13.7323	13.7323	13.7323
-4.4	4.4	14.0516	14.0516	14.0516
-4.5	4.5	14.371	14.371	14.371
-4.6	4.6	14.6903	14.6903	14.6903
-4.7	4.7	15.0097	15.0097	15.0097
-4.8	4.8	15.329	15.329	15.329
-4.9	4.9	15.6484	15.6484	15.6484
-5.0	5.0	15.9677	15.9677	15.9677
-5.1	5.1	16.2871	16.2871	16.2871
-5.2	5.2	16.6065	16.6065	16.6065
-5.3	5.3	16.9258	16.9258	16.9258
-5.4	5.4	17.2452	17.2452	17.2452
-5.5	5.5	17.5645	17.5645	17.5645
-5.6	5.6	17.8839	17.8839	17.8839
-5.7	5.7	18.2032	18.2032	18.2032
-5.8	5.8	18.5226	18.5226	18.5226
-5.9	5.9	18.8419	18.8419	18.8419
-6.0	6.0	19.1613	19.1613	19.1613
-6.1	6.1	19.4806	19.4806	19.4806
-6.2	6.2	19.8	19.8	19.8
-6.3	6.3	20.1194	20.1194	20.1194
-6.4	6.4	20.4387	20.4387	20.4387
-6.5	6.5	20.7581	20.7581	20.7581
-6.6	6.6	21.0774	21.0774	21.0774
-6.7	6.7	21.3968	21.3968	21.3968
-6.8	6.8	21.7161	21.7161	21.7161
-6.9	6.9	22.0355	22.0355	22.0355
-7.0	7.0	22.3548	22.3548	22.3548
-7.1	7.1	22.6742	22.6742	22.6742
-7.2	7.2	22.9935	22.9935	22.9935
-7.3	7.3	23.3129	23.3129	23.3129
-7.4	7.4	23.6323	23.6323	23.6323
-7.5	7.5	23.9516	23.9516	23.9516
-7.6	7.6	24.271	24.271	24.271
-7.7	7.7	24.5903	24.5903	24.5903
-7.8	7.8	24.9097	24.9097	24.9097
-7.9	7.9	25.229	25.229	25.229
-8.0	8.0	25.5484	25.5484	25.5484
-8.1	8.1	25.8677	25.8677	25.8677
-8.2	8.2	26.1871	26.1871	26.1871
-8.3	8.3	26.5065	26.5065	26.5065
-8.4	8.4	26.8258	26.8258	26.8258
-8.5	8.5	27.1452	27.1452	27.1452
-8.6	8.6	27.4645	27.4645	27.4645
-8.7	8.7	27.7839	27.7839	27.7839
-8.8	8.8	28.1032	28.1032	28.1032
-8.9	8.9	28.4226	28.4226	28.4226
-9.0	9.0	28.7419	28.7419	28.7419
-9.1	9.1	29.0613	29.0613	29.0613
-9.2	9.2	29.3806	29.3806	29.3806
-9.3	9.3	29.7	29.7	29.7
-9.4	9.4	30.0194	30.0194	30.0194
-9.5	9.5	30.3387	30.3387	30.3387
-9.6	9.6	30.6581	30.6581	30.6581
-9.7	9.7	30.9774	30.9774	30.9774
-9.8	9.8	31.2968	31.2968	31.2968
-9.9	9.9	31.6161	31.6161	31.6161
-10.0	10.0	31.9355	31.9355	31.9355
-10.1	10.1	32.2548	32.2548	32.2548
-10.2	10.2	32.5742	32.5742	32.5742
-10.3	10.3	32.8935	32.8935	32.8935
-10.4	10.4	33.2129	33.2129	33.2129
-10.5	10.5	33.5323	33.5323	33.5323
-10.6	10.6	33.8516	33.8516	33.8516
-10.7	10.7	34.171	34.171	34.171
-10.8	10.8	34.4903	34.4903	34.4903
-10.9	10.9	34.8097	34.8097	34.8097
-11.0	11.0	35.129	35.129	35.129
-11.1	11.1	35.4484	35.4484	35.4484
-11.2	11.2	35.7677	35.7677	35.7677
-11.3	11.3	36.0871	36.0871	36.0871
-11.4	11.4	36.4065	36.4065	36.4065
-11.5	11.5	36.7258	36.7258	36.7258
-11.6	11.6	37.0452	37.0452	37.0452
-11.7	11.7	37.3645	37.3645	37.3645
-11.8	11.8	37.6839	37.6839	37.6839
-11.9	11.9	38.0032	38.0032	38.0032
-12.0	12.0	38.3226	38.3226	38.3226
-12.1	12.1	38.6419	38.6419	38.6419
-12.2	12.2	38.9613	38.9613	38.9613
-12.3	12.3	39.2806	39.2806	39.2806
-12.4	12.4	39.6	39.6	39.6
-12.5	12.5	39.9194	39.9194	39.9194
-12.6	12.6	40.2387	40.2387	40.2387
-12.7	12.7	40.5581	40.5581	40.5581
-12.8	12.8	40.8774	40.8774	40.8774
-12.9	12.9	41.1968	41.1968	41.1968
-13.0	13.0	41.5161	41.5161	41.5161
-13.1	13.1	41.8355	41.8355	41.8355
-13.2	13.2	42.1548	42.1548	42.1548
-13.3	13.3	42.4742	42.4742	42.4742
-13.4	13.4	42.7935	42.7935	42.7935
-13.5	13.5	43.1129	43.1129	43.1129
-13.6	13.6	43.4323	43.4323	43.4323
-13.7	13.7	43.7516	43.7516	43.7516
-13.8	13.8	44.071	44.071	44.071
-13.9	13.9	44.3903	44.3903	44.3903
-14.0	14.0	44.7097	44.7097	44.7097
-14.1	14.1	45.029	45.029	45.029
-14.2	14.2	45.3484	45.3484	45.3484
-14.3	14.3	45.6677	45.6677	45.6677
-14.4	14.4	45.9871	45.9871	45.9871
-14.5	14.5	46.3065	46.3065	46.3065
-14.6	14.6	46.6258	46.6258	46.6258
-14.7	14.7	46.9452	46.9452	46.9452
-14.8	14.8	47.2645	47.2645	47.2645
-14.9	14.9	47.5839	47.5839	47.5839
-15.0	15.0	47.9032	47.9032	47.9032
-15.1	15.1	48.2226	48.2226	48.2226
-15.2	15.2	48.5419	48.5419	48.5419
-15.3	15.3	48.8613	48.8613	48.8613
-15.4	15.4	49.1806	49.1806	49.1806
-15.5	15.5	49.5	49.5	49.5
-15.6	15.6	49.8194	49.8194	49.8194
-15.7	15.7	50.1387	50.1387	50.1387
-15.8	15.8	50.4581	50.4581	50.4581
-15.9	15.9	50.7774	50.7774	50.7774
-16.0	16.0	51.0968	51.0968	51.0968
-16.1	16.1	51.4161	51.4161	51.4161
-16.2	16.2	51.7355	51.7355	51.7355
-16.3	16.3	52.0548	52.0548	52.0548
-16.4	16.4	52.3742	52.3742	52.3742
-16.5	16.5	52.6935	52.6935	52.6935
-16.6	16.6	53.0129	53.0129	53.0129
-16.7	16.7	53.3323	53.3323	53.3323
-16.8	16.8	53.6516	53.6516	53.6516
-16.9	16.9	53.971	53.971	53.971
-17.0	17.0	54.2903	54.2903	54.2903
-17.1	17.1	54.6097	54.6097	54.6097
-17.2	17.2	54.929	54.929	54.929
-17.3	17.3	55.2484	55.2484	55.2484
-17.4	17.4	55.5677	55.5677	55.5677
-17.5	17.5	55.8871	55.8871	55.8871
-17.6	17.6	56.2065	56.2065	56.2065
-17.7	17.7	56.5258	56.5258	56.5258
-17.8	17.8	56.8452	56.8452	56.8452
-17.9	17.9	57.1645	57.1645	57.1645
-18.0	18.0	57.4839	57.4839	57.4839
-18.1	18.1	57.8032	57.8032	57.8032
-18.2	18.2	58.1226	58.1226	58.1226
-18.3	18.3	58.4419	58.4419	58.4419
-18.4	18.4	58.7613	58.7613	58.7613
-18.5	18.5	59.0806	59.0806	59.0806
-18.6	18.6	59.4	59.4	59.4
-18.7	18.7	59.7194	59.7194	59.7194
-18.8	18.8	60.0387	60.0387	60.0387
-18.9	18.9	60.3581	60.3581	60.3581
-19.0	19.0	60.6774	60.6774	60.6774
-19.1	19.1	60.9968	60.9968	60.9968
-19.2	19.2	61.3161	61.3161	61.3161
-19.3	19.3	61.6355	61.6355	61.6355
-19.4	19.4	61.9548	61.9548	61.9548
-19.5	19.5	62.2742	62.2742	62.2742
-19.6	19.6	62.5935	62.5935	62.5935
-19.7	19.7	62.9129	62.9129	62.9129
-19.8	19.8	63.2323	63.2323	63.2323
-19.9	19.9	63.5516	63.5516	63.5516
-20.0	20.0	63.871	63.871	63.871
-20.1	20.1	64.1903	64.1903	64.1903
-20.2	20.2	64.5097	64.5097	64.5097
-20.3	20.3	64.829	64.829	64.829
-20.4	20.4	65.1484	65.1484	65.1484
-20.5	20.5	65.4677	65.4677	65.4677
-20.6	20.6	65.7871	65.7871	65.7871
-20.7	20.7	66.1065	66.1065	66.1065
-20.8	20.8	66.4258	66.4258	66.4258
-20.9	20.9	66.7452	66.7452	66.7452
-21.0	21.0	67.0645	67.0645	67.0645
-21.1	21.1	67.3839	67.3839	67.3839
-21.2	21.2	67.7032	67.7032	67.7032
-21.3	21.3	68.0226	68.0226	68.0226
-21.4	21.4	68.3419	68.3419	68.3419
-21.5	21.5	68.6613	68.6613	68.6613
-21.6	21.6	68.9806	68.9806	68.9806
-21.7	21.7	69.3	69.3	69.3
-21.8	21.8	69.6194	69.6194	69.6194
-21.9	21.9	69.9387	69.9387	69.9387
-22.0	22.0	70.2581	70.2581	70.2581
-22.1	22.1	70.5774	70.5774	70.5774
-22.2	22.2	70.8968	70.8968	70.8968
-22.3	22.3	71.2161	71.2161	71.2161
-22.4	22.4	71.5355	71.5355	71.5355
-22.5	22.5	71.8548	71.8548	71.8548
-22.6	22.6	72.1742	72.1742	72.1742
-22.7	22.7	72.4935	72.4935	72.4935
-22.8	22.8	72.8129	72.8129	72.8129
-22.9	22.9	73.1323	73.1323	73.1323
-23.0	23.0	73.4516	73.4516	73.4516
-23.1	23.1	73.771	73.771	73.771
-23.2	23.2	74.0903	74.0903	74.0903
-23.3	23.3	74.4097	74.4097	74.4097
-23.4	23.4	74.729	74.729	74.729
-23.5	23.5	75.0484	75.0484	75.0484
-23.6	23.6	75.3677	75.3677	75.3677
-23.7	23.7	75.6871	75.6871	75.6871
-23.8	23.8	76.0065	76.0065	76.0065
-23.9	23.9	76.3258	76.3258	76.3258
-24.0	24.0	76.6452	76.6452	76.6452
-24.1	24.1	76.9645	76.9645	76.9645
-24.2	24.2	77.2839	77.2839	77.2839
-24.3	24.3	77.6032	77.6032	77.6032
-24.4	24.4	77.9226	77.9226	77.9226
-24.5	24.5	78.2419	78.2419	78.2419
-24.6	24.6	78.5613	78.5613	78.5613
-24.7	24.7	78.8806	78.8806	78.8806
-24.8	24.8	79.2	79.2	79.2
-24.9	24.9	79.5194	79.5194	79.5194
-25.0	25.0	79.8387	79.8387	79.8387
-25.1	25.1	80.1581	80.1581	80.1581
-25.2	25.2	80.4774	80.4774	80.4774
-25.3	25.3	80.7968	80.7968	80.7968
-25.4	25.4	81.1161	81.1161	81.1161
-25.5	25.5	81.4355	81.4355	81.4355
-25.6	25.6	81.7548	81.7548	81.7548
-25.7	25.7	82.0742	82.0742	82.0742
-25.8	25.8	82.3935	82.3935	82.3935
-25.9	25.9	82.7129	82.7129	82.7129
-26.0	26.0	83.0323	83.0323	83.0323
-26.1	26.1	83.3516	83.3516	83.3516
-26.2	26.2	83.671	83.671	83.671
-26.3	26.3	83.9903	83.9903	83.9903
-26.4	26.4	84.3097	84.3097	84.3097
-26.5	26.5	84.629	84.629	84.629
-26.6	26.6	84.9484	84.9484	84.9484
-26.7	26.7	85.2677	85.2677	85.2677
-26.8	26.8	85.5871	85.5871	85.5871
-26.9	26.9	85.9065	85.9065	85.9065
-27.0	27.0	86.2258	86.2258	86.2258
-27.1	27.1	86.5452	86.5452	86.5452
-27.2	27.2	86.8645	86.8645	86.8645
-27.3	27.3	87.1839	87.1839	87.1839
-27.4	27.4	87.5032	87.5032	87.5032
-27.5	27.5	87.8226	87.8226	87.8226
-27.6	27.6	88.1419	88.1419	88.1419
-27.7	27.7	88.4613	88.4613	88.4613
-27.8	27.8	88.7806	88.7806	88.7806
-27.9	27.9	89.1	89.1	89.1
-28.0	28.0	89.4194	89.4194	89.4194
-28.1	28.1	89.7387	89.7387	89.7387
-28.2	28.2	90.0581	90.0581	90.0581
-28.3	28.3	90.3774	90.3774	90.3774
-28.4	28.4	90.6968	90.6968	90.6968
-28.5	28.5	91.0161	91.0161	91.0161
-28.6	28.6	91.3355	91.3355	91.3355
-28.7	28.7	91.6548	91.6548	91.6548
-28.8	28.8	91.9742	91.9742	91.9742
-28.9	28.9	92.2935	92.2935	92.2935
-29.0	29.0	92.6129	92.6129	92.6129
-29.1	29.1	92.9323	92.9323	92.9323
-29.2	29.2	93.2516	93.2516	93.2516
-29.3	29.3	93.571	93.571	93.571
-29.4	29.4	93.8903	93.8903	93.8903
-29.5	29.5	94.2097	94.2097	94.2097
-29.6	29.6	94.529	94.529	94.529
-29.7	29.7	94.8484	94.8484	94.8484
-29.8	29.8	95.1677	95.1677	95.1677
-29.9	29.9	95.4871	95.4871	95.4871
-30.0	30.0	95.8065	95.8065	95.8065
-30.1	30.1	96.1258	96.1258	96.1258
-30.2	30.2	96.4452	96.4452	96.4452
-30.3	30.3	96.7645	96.7645	96.7645
-30.4	30.4	97.0839	97.0839	97.0839
-30.5	30.5	97.4032	97.4032	97.4032
-30.6	30.6	97.7226	97.7226	97.7226
-30.7	30.7	98.0419	98.0419	98.0419
-30.8	30.8	98.3613	98.3613	98.3613
-30.9	30.9	98.6806	98.6806	98.6806
-31.0	31.0	99	99	99
-31.1	31.1	99.3194	99.3194	99.3194
-31.2	31.2	99.6387	99.6387	99.6387
-31.3	31.3	99.9581	99.9581	99.9581
-31.4	31.4	100	100	100
-31.5	31.5	100	100	100
-31.6	31.6	100	100	100
-31.7	31.7	100	100	100
-31.8	31.8	100	100	100
-31.9	31.9	100	100	100
-32.0	32.0	100	100	100
-32.1	32.1	100	100	100
-32.2	32.2	100	100	100
-32.3	32.3	100	100	100
-32.4	32.4	100	100	100
-32.5	32.5	100	100	100
-32.6	32.6	100	100	100
-32.7	32.7	100	100	100
-32.8	32.8	100	100	100
-32.9	32.9	100	100	100
-33.0	33.0	100	100	100
-33.1	33.1	100	100	100
-33.2	33.2	100	100	100
-33.3	33.3	100	100	100
-33.4	33.4	100	100	100
-33.5	33.5	100	100	100
-33.6	33.6	100	100	100
-33.7	33.7	100	100	100
-33.8	33.8	100	100	100
-33.9	33.9	100	100	100
-34.0	34.0	100	100	100
-34.1	34.1	100	100	100
-34.2	34.2	100	100	100
-34.3	34.3	100	100	100
-34.4	34.4	100	100	100
-34.5	34.5	100	100	100
-34.6	34.6	100	100	100
-34.7	34.7	100	100	100
-34.8	34.8	100	100	100
-34.9	34.9	100	100	100
-35.0	35.0	100	100	100
-35.1	35.1	100	100	100
-35.2	35.2	100	100	100
-35.3	35.3	100	100	100
-35.4	35.4	100	100	100
-35.5	35.5	100	100	100
-35.6	35.6	100	100	100
-35.7	35.7	100	100	100
-35.8	35.8	100	100	100
-35.9	35.9	100	100	100
-36.0	36.0	100	100	100
-36.1	36.1	100	100	100
-36.2	36.2	100	100	100
-36.3	36.3	100	100	100
-36.4	36.4	100	100	100
-36.5	36.5	100	100	100
-36.6	36.6	100	100	100
-36.7	36.7	100	100	100
-36.8	36.8	100	100	100
-36.9	36.9	100	100	100
-37.0	37.0	100	100	100
-37.1	37.1	100	100	100
-37.2	37.2	100	100	100
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.267568	0.267568	0.253485
-0.2	0.2	0.535135	0.535135	0.50697
-0.3	0.3	0.802703	0.802703	0.760455
-0.4	0.4	1.07027	1.07027	1.01394
-0.5	0.5	1.33784	1.33784	1.26743
-0.6	0.6	1.60541	1.60541	1.52091
-0.7	0.7	1.87297	1.87297	1.7744
-0.8	0.8	2.14054	2.14054	2.02788
-0.9	0.9	2.40811	2.40811	2.28137
-1.0	1.0	2.67568	2.67568	2.53485
-1.1	1.1	2.94324	2.94324	2.78834
-1.2	1.2	3.21081	3.21081	3.04182
-1.3	1.3	3.47838	3.47838	3.29531
-1.4	1.4	3.74595	3.74595	3.54879
-1.5	1.5	4.01351	4.01351	3.80228
-1.6	1.6	4.28108	4.28108	4.05576
-1.7	1.7	4.54865	4.54865	4.30925
-1.8	1.8	4.81622	4.81622	4.56273
-1.9	1.9	5.08378	5.08378	4.81622
-2.0	2.0	5.35135	5.35135	5.0697
-2.1	2.1	5.61892	5.61892	5.32319
-2.2	2.2	5.88649	5.88649	5.57667
-2.3	2.3	6.15405	6.15405	5.83016
-2.4	2.4	6.42162	6.42162	6.08364
-2.5	2.5	6.68919	6.68919	6.33713
-2.6	2.6	6.95676	6.95676	6.59061
-2.7	2.7	7.22432	7.22432	6.8441
-2.8	2.8	7.49189	7.49189	7.09758
-2.9	2.9	7.75946	7.75946	7.35107
-3.0	3.0	8.02703	8.02703	7.60455
-3.1	3.1	8.29459	8.29459	7.85804
-3.2	3.2	8.56216	8.56216	8.11152
-3.3	3.3	8.82973	8.82973	8.36501
-3.4	3.4	9.0973	9.0973	8.61849
-3.5	3.5	9.36486	9.36486	8.87198
-3.6	3.6	9.63243	9.63243	9.12546
-3.7	3.7	9.9	9.9	9.37895
-3.8	3.8	10.1676	10.1676	9.63243
-3.9	3.9	10.4351	10.4351	9.88592
-4.0	4.0	10.7027	10.7027	10.1394
-4.1	4.1	10.9703	10.9703	10.3929
-4.2	4.2	11.2378	11.2378	10.6464
-4.3	4.3	11.5054	11.5054	10.8999
-4.4	4.4	11.773	11.773	11.1533
-4.5	4.5	12.0405	12.0405	11.4068
-4.6	4.6	12.3081	12.3081	11.6603
-4.7	4.7	12.5757	12.5757	11.9138
-4.8	4.8	12.8432	12.8432	12.1673
-4.9	4.9	13.1108	13.1108	12.4208
-5.0	5.0	13.3784	13.3784	12.6743
-5.1	5.1	13.6459	13.6459	12.9277
-5.2	5.2	13.9135	13.9135	13.1812
-5.3	5.3	14.1811	14.1811	13.4347
-5.4	5.4	14.4486	14.4486	13.6882
-5.5	5.5	14.7162	14.7162	13.9417
-5.6	5.6	14.9838	14.9838	14.1952
-5.7	5.7	15.2514	15.2514	14.4486
-5.8	5.8	15.5189	15.5189	14.7021
-5.9	5.9	15.7865	15.7865	14.9556
-6.0	6.0	16.0541	16.0541	15.2091
-6.1	6.1	16.3216	16.3216	15.4626
-6.2	6.2	16.5892	16.5892	15.7161
-6.3	6.3	16.8568	16.8568	15.9696
-6.4	6.4	17.1243	17.1243	16.223
-6.5	6.5	17.3919	17.3919	16.4765
-6.6	6.6	17.6595	17.6595	16.73
-6.7	6.7	17.927	17.927	16.9835
-6.8	6.8	18.1946	18.1946	17.237
-6.9	6.9	18.4622	18.4622	17.4905
-7.0	7.0	18.7297	18.7297	17.744
-7.1	7.1	18.9973	18.9973	17.9974
-7.2	7.2	19.2649	19.2649	18.2509
-7.3	7.3	19.5324	19.5324	18.5044
-7.4	7.4	19.8	19.8	18.7579
-7.5	7.5	20.0676	20.0676	19.0114
-7.6	7.6	20.3351	20.3351	19.2649
-7.7	7.7	20.6027	20.6027	19.5183
-7.8	7.8	20.8703	20.8703	19.7718
-7.9	7.9	21.1378	21.1378	20.0253
-8.0	8.0	21.4054	21.4054	20.2788
-8.1	8.1	21.673	21.673	20.5323
-8.2	8.2	21.9405	21.9405	20.7858
-8.3	8.3	22.2081	22.2081	21.0393
-8.4	8.4	22.4757	22.4757	21.2927
-8.5	8.5	22.7432	22.7432	21.5462
-8.6	8.6	23.0108	23.0108	21.7997
-8.7	8.7	23.2784	23.2784	22.0532
-8.8	8.8	23.5459	23.5459	22.3067
-8.9	8.9	23.8135	23.8135	22.5602
-9.0	9.0	24.0811	24.0811	22.8137
-9.1	9.1	24.3486	24.3486	23.0671
-9.2	9.2	24.6162	24.6162	23.3206
-9.3	9.3	24.8838	24.8838	23.5741
-9.4	9.4	25.1514	25.1514	23.8276
-9.5	9.5	25.4189	25.4189	24.0811
-9.6	9.6	25.6865	25.6865	24.3346
-9.7	9.7	25.9541	25.9541	24.5881
-9.8	9.8	26.2216	26.2216	24.8415
-9.9	9.9	26.4892	26.4892	25.095
-10.0	10.0	26.7568	26.7568	25.3485
-10.1	10.1	27.0243	27.0243	25.602
-10.2	10.2	27.2919	27.2919	25.8555
-10.3	10.3	27.5595	27.5595	26.109
-10.4	10.4	27.827	27.827	26.3624
-10.5	10.5	28.0946	28.0946	26.6159
-10.6	10.6	28.3622	28.3622	26.8694
-10.7	10.7	28.6297	28.6297	27.1229
-10.8	10.8	28.8973	28.8973	27.3764
-10.9	10.9	29.1649	29.1649	27.6299
-11.0	11.0	29.4324	29.4324	27.8834
-11.1	11.1	29.7	29.7	28.1368
-11.2	11.2	29.9676	29.9676	28.3903
-11.3	11.3	30.2351	30.2351	28.6438
-11.4	11.4	30.5027	30.5027	28.8973
-11.5	11.5	30.7703	30.7703	29.1508
-11.6	11.6	31.0378	31.0378	29.4043
-11.7	11.7	31.3054	31.3054	29.6578
-11.8	11.8	31.573	31.573	29.9112
-11.9	11.9	31.8405	31.8405	30.1647
-12.0	12.0	32.1081	32.1081	30.4182
-12.1	12.1	32.3757	32.3757	30.6717
-12.2	12.2	32.6432	32.6432	30.9252
-12.3	12.3	32.9108	32.9108	31.1787
-12.4	12.4	33.1784	33.1784	31.4321
-12.5	12.5	33.4459	33.4459	31.6856
-12.6	12.6	33.7135	33.7135	31.9391
-12.7	12.7	33.9811	33.9811	32.1926
-12.8	12.8	34.2486	34.2486	32.4461
-12.9	12.9	34.5162	34.5162	32.6996
-13.0	13.0	34.7838	34.7838	32.9531
-13.1	13.1	35.0514	35.0514	33.2065
-13.2	13.2	35.3189	35.3189	33.46
-13.3	13.3	35.5865	35.5865	33.7135
-13.4	13.4	35.8541	35.8541	33.967
-13.5	13.5	36.1216	36.1216	34.2205
-13.6	13.6	36.3892	36.3892	34.474
-13.7	13.7	36.6568	36.6568	34.7275
-13.8	13.8	36.9243	36.9243	34.9809
-13.9	13.9	37.1919	37.1919	35.2344
-14.0	14.0	37.4595	37.4595	35.4879
-14.1	14.1	37.727	37.727	35.7414
-14.2	14.2	37.9946	37.9946	35.9949
-14.3	14.3	38.2622	38.2622	36.2484
-14.4	14.4	38.5297	38.5297	36.5018
-14.5	14.5	38.7973	38.7973	36.7553
-14.6	14.6	39.0649	39.0649	37.0088
-14.7	14.7	39.3324	39.3324	37.2623
-14.8	14.8	39.6	39.6	37.5158
-14.9	14.9	39.8676	39.8676	37.7693
-15.0	15.0	40.1351	40.1351	38.0228
-15.1	15.1	40.4027	40.4027	38.2762
-15.2	15.2	40.6703	40.6703	38.5297
-15.3	15.3	40.9378	40.9378	38.7832
-15.4	15.4	41.2054	41.2054	39.0367
-15.5	15.5	41.473	41.473	39.2902
-15.6	15.6	41.7405	41.7405	39.5437
-15.7	15.7	42.0081	42.0081	39.7972
-15.8	15.8	42.2757	42.2757	40.0506
-15.9	15.9	42.5432	42.5432	40.3041
-16.0	16.0	42.8108	42.8108	40.5576
-16.1	16.1	43.0784	43.0784	40.8111
-16.2	16.2	43.3459	43.3459	41.0646
-16.3	16.3	43.6135	43.6135	41.3181
-16.4	16.4	43.8811	43.8811	41.5716
-16.5	16.5	44.1486	44.1486	41.825
-16.6	16.6	44.4162	44.4162	42.0785
-16.7	16.7	44.6838	44.6838	42.332
-16.8	16.8	44.9514	44.9514	42.5855
-16.9	16.9	45.2189	45.2189	42.839
-17.0	17.0	45.4865	45.4865	43.0925
-17.1	17.1	45.7541	45.7541	43.3459
-17.2	17.2	46.0216	46.0216	43.5994
-17.3	17.3	46.2892	46.2892	43.8529
-17.4	17.4	46.5568	46.5568	44.1064
-17.5	17.5	46.8243	46.8243	44.3599
-17.6	17.6	47.0919	47.0919	44.6134
-17.7	17.7	47.3595	47.3595	44.8669
-17.8	17.8	47.627	47.627	45.1203
-17.9	17.9	47.8946	47.8946	45.3738
-18.0	18.0	48.1622	48.1622	45.6273
-18.1	18.1	48.4297	48.4297	45.8808
-18.2	18.2	48.6973	48.6973	46.1343
-18.3	18.3	48.9649	48.9649	46.3878
-18.4	18.4	49.2324	49.2324	46.6413
-18.5	18.5	49.5	49.5	46.8947
-18.6	18.6	49.7676	49.7676	47.1482
-18.7	18.7	50.0351	50.0351	47.4017
-18.8	18.8	50.3027	50.3027	47.6552
-18.9	18.9	50.5703	50.5703	47.9087
-19.0	19.0	50.8378	50.8378	48.1622
-19.1	19.1	51.1054	51.1054	48.4156
-19.2	19.2	51.373	51.373	48.6691
-19.3	19.3	51.6405	51.6405	48.9226
-19.4	19.4	51.9081	51.9081	49.1761
-19.5	19.5	52.1757	52.1757	49.4296
-19.6	19.6	52.4432	52.4432	49.6831
-19.7	19.7	52.7108	52.7108	49.9366
-19.8	19.8	52.9784	52.9784	50.19
-19.9	19.9	53.2459	53.2459	50.4435
-20.0	20.0	53.5135	53.5135	50.697
-20.1	20.1	53.7811	53.7811	50.9505
-20.2	20.2	54.0486	54.0486	51.204
-20.3	20.3	54.3162	54.3162	51.4575
-20.4	20.4	54.5838	54.5838	51.711
-20.5	20.5	54.8514	54.8514	51.9644
-20.6	20.6	55.1189	55.1189	52.2179
-20.7	20.7	55.3865	55.3865	52.4714
-20.8	20.8	55.6541	55.6541	52.7249
-20.9	20.9	55.9216	55.9216	52.9784
-21.0	21.0	56.1892	56.1892	53.2319
-21.1	21.1	56.4568	56.4568	53.4853
-21.2	21.2	56.7243	56.7243	53.7388
-21.3	21.3	56.9919	56.9919	53.9923
-21.4	21.4	57.2595	57.2595	54.2458
-21.5	21.5	57.527	57.527	54.4993
-21.6	21.6	57.7946	57.7946	54.7528
-21.7	21.7	58.0622	58.0622	55.0063
-21.8	21.8	58.3297	58.3297	55.2597
-21.9	21.9	58.5973	58.5973	55.5132
-22.0	22.0	58.8649	58.8649	55.7667
-22.1	22.1	59.1324	59.1324	56.0202
-22.2	22.2	59.4	59.4	56.2737
-22.3	22.3	59.6676	59.6676	56.5272
-22.4	22.4	59.9351	59.9351	56.7807
-22.5	22.5	60.2027	60.2027	57.0341
-22.6	22.6	60.4703	60.4703	57.2876
-22.7	22.7	60.7378	60.7378	57.5411
-22.8	22.8	61.0054	61.0054	57.7946
-22.9	22.9	61.273	61.273	58.0481
-23.0	23.0	61.5405	61.5405	58.3016
-23.1	23.1	61.8081	61.8081	58.555
-23.2	23.2	62.0757	62.0757	58.8085
-23.3	23.3	62.3432	62.3432	59.062
-23.4	23.4	62.6108	62.6108	59.3155
-23.5	23.5	62.8784	62.8784	59.569
-23.6	23.6	63.1459	63.1459	59.8225
-23.7	23.7	63.4135	63.4135	60.076
-23.8	23.8	63.6811	63.6811	60.3294
-23.9	23.9	63.9486	63.9486	60.5829
-24.0	24.0	64.2162	64.2162	60.8364
-24.1	24.1	64.4838	64.4838	61.0899
-24.2	24.2	64.7514	64.7514	61.3434
-24.3	24.3	65.0189	65.0189	61.5969
-24.4	24.4	65.2865	65.2865	61.8504
-24.5	24.5	65.5541	65.5541	62.1038
-24.6	24.6	65.8216	65.8216	62.3573
-24.7	24.7	66.0892	66.0892	62.6108
-24.8	24.8	66.3568	66.3568	62.8643
-24.9	24.9	66.6243	66.6243	63.1178
-25.0	25.0	66.8919	66.8919	63.3713
-25.1	25.1	67.1595	67.1595	63.6248
-25.2	25.2	67.427	67.427	63.8782
-25.3	25.3	67.6946	67.6946	64.1317
-25.4	25.4	67.9622	67.9622	64.3852
-25.5	25.5	68.2297	68.2297	64.6387
-25.6	25.6	68.4973	68.4973	64.8922
-25.7	25.7	68.7649	68.7649	65.1457
-25.8	25.8	69.0324	69.0324	65.3991
-25.9	25.9	69.3	69.3	65.6526
-26.0	26.0	69.5676	69.5676	65.9061
-26.1	26.1	69.8351	69.8351	66.1596
-26.2	26.2	70.1027	70.1027	66.4131
-26.3	26.3	70.3703	70.3703	66.6666
-26.4	26.4	70.6378	70.6378	66.9201
-26.5	26.5	70.9054	70.9054	67.1735
-26.6	26.6	71.173	71.173	67.427
-26.7	26.7	71.4405	71.4405	67.6805
-26.8	26.8	71.7081	71.7081	67.934
-26.9	26.9	71.9757	71.9757	68.1875
-27.0	27.0	72.2432	72.2432	68.441
-27.1	27.1	72.5108	72.5108	68.6945
-27.2	27.2	72.7784	72.7784	68.9479
-27.3	27.3	73.0459	73.0459	69.2014
-27.4	27.4	73.3135	73.3135	69.4549
-27.5	27.5	73.5811	73.5811	69.7084
-27.6	27.6	73.8486	73.8486	69.9619
-27.7	27.7	74.1162	74.1162	70.2154
-27.8	27.8	74.3838	74.3838	70.4688
-27.9	27.9	74.6514	74.6514	70.7223
-28.0	28.0	74.9189	74.9189	70.9758
-28.1	28.1	75.1865	75.1865	71.2293
-28.2	28.2	75.4541	75.4541	71.4828
-28.3	28.3	75.7216	75.7216	71.7363
-28.4	28.4	75.9892	75.9892	71.9898
-28.5	28.5	76.2568	76.2568	72.2432
-28.6	28.6	76.5243	76.5243	72.4967
-28.7	28.7	76.7919	76.7919	72.7502
-28.8	28.8	77.0595	77.0595	73.0037
-28.9	28.9	77.327	77.327	73.2572
-29.0	29.0	77.5946	77.5946	73.5107
-29.1	29.1	77.8622	77.8622	73.7642
-29.2	29.2	78.1297	78.1297	74.0176
-29.3	29.3	78.3973	78.3973	74.2711
-29.4	29.4	78.6649	78.6649	74.5246
-29.5	29.5	78.9324	78.9324	74.7781
-29.6	29.6	79.2	79.2	75.0316
-29.7	29.7	79.4676	79.4676	75.2851
-29.8	29.8	79.7351	79.7351	75.5385
-29.9	29.9	80.0027	80.0027	75.792
-30.0	30.0	80.2703	80.2703	76.0455
-30.1	30.1	80.5378	80.5378	76.299
-30.2	30.2	80.8054	80.8054	76.5525
-30.3	30.3	81.073	81.073	76.806
-30.4	30.4	81.3405	81.3405	77.0595
-30.5	30.5	81.6081	81.6081	77.3129
-30.6	30.6	81.8757	81.8757	77.5664
-30.7	30.7	82.1432	82.1432	77.8199
-30.8	30.8	82.4108	82.4108	78.0734
-30.9	30.9	82.6784	82.6784	78.3269
-31.0	31.0	82.9459	82.9459	78.5804
-31.1	31.1	83.2135	83.2135	78.8339
-31.2	31.2	83.4811	83.4811	79.0873
-31.3	31.3	83.7486	83.7486	79.3408
-31.4	31.4	84.0162	84.0162	79.5943
-31.5	31.5	84.2838	84.2838	79.8478
-31.6	31.6	84.5514	84.5514	80.1013
-31.7	31.7	84.8189	84.8189	80.3548
-31.8	31.8	85.0865	85.0865	80.6083
-31.9	31.9	85.3541	85.3541	80.8617
-32.0	32.0	85.6216	85.6216	81.1152
-32.1	32.1	85.8892	85.8892	81.3687
-32.2	32.2	86.1568	86.1568	81.6222
-32.3	32.3	86.4243	86.4243	81.8757
-32.4	32.4	86.6919	86.6919	82.1292
-32.5	32.5	86.9595	86.9595	82.3826
-32.6	32.6	87.227	87.227	82.6361
-32.7	32.7	87.4946	87.4946	82.8896
-32.8	32.8	87.7622	87.7622	83.1431
-32.9	32.9	88.0297	88.0297	83.3966
-33.0	33.0	88.2973	88.2973	83.6501
-33.1	33.1	88.5649	88.5649	83.9036
-33.2	33.2	88.8324	88.8324	84.157
-33.3	33.3	89.1	89.1	84.4105
-33.4	33.4	89.3676	89.3676	84.664
-33.5	33.5	89.6351	89.6351	84.9175
-33.6	33.6	89.9027	89.9027	85.171
-33.7	33.7	90.1703	90.1703	85.4245
-33.8	33.8	90.4378	90.4378	85.678
-33.9	33.9	90.7054	90.7054	85.9314
-34.0	34.0	90.973	90.973	86.1849
-34.1	34.1	91.2405	91.2405	86.4384
-34.2	34.2	91.5081	91.5081	86.6919
-34.3	34.3	91.7757	91.7757	86.9454
-34.4	34.4	92.0432	92.0432	87.1989
-34.5	34.5	92.3108	92.3108	87.4523
-34.6	34.6	92.5784	92.5784	87.7058
-34.7	34.7	92.8459	92.8459	87.9593
-34.8	34.8	93.1135	93.1135	88.2128
-34.9	34.9	93.3811	93.3811	88.4663
-35.0	35.0	93.6486	93.6486	88.7198
-35.1	35.1	93.9162	93.9162	88.9733
-35.2	35.2	94.1838	94.1838	89.2267
-35.3	35.3	94.4514	94.4514	89.4802
-35.4	35.4	94.7189	94.7189	89.7337
-35.5	35.5	94.9865	94.9865	89.9872
-35.6	35.6	95.2541	95.2541	90.2407
-35.7	35.7	95.5216	95.5216	90.4942
-35.8	35.8	95.7892	95.7892	90.7477
-35.9	35.9	96.0568	96.0568	91.0011
-36.0	36.0	96.3243	96.3243	91.2546
-36.1	36.1	96.5919	96.5919	91.5081
-36.2	36.2	96.8595	96.8595	91.7616
-36.3	36.3	97.127	97.127	92.0151
-36.4	36.4	97.3946	97.3946	92.2686
-36.5	36.5	97.6622	97.6622	92.522
-36.6	36.6	97.9297	97.9297	92.7755
-36.7	36.7	98.1973	98.1973	93.029
-36.8	36.8	98.4649	98.4649	93.2825
-36.9	36.9	98.7324	98.7324	93.536
-37.0	37.0	99	99	93.7895
-37.1	37.1	99.2676	99.2676	94.043
-37.2	37.2	99.5351	99.5351	94.2964
-37.3	37.3	99.8027	99.8027	94.5499
-37.4	37.4	100	100	94.8034
-37.5	37.5	100	100	95.0569
-37.6	37.6	100	100	95.3104
-37.7	37.7	100	100	95.5639
-37.8	37.8	100	100	95.8174
-37.9	37.9	100	100	96.0708
-38.0	38.0	100	100	96.3243
-38.1	38.1	100	100	96.5778
-38.2	38.2	100	100	96.8313
-38.3	38.3	100	100	97.0848
-38.4	38.4	100	100	97.2987
-38.5	38.5	100	100	97.3077
-38.6	38.6	100	100	97.3166
-38.7	38.7	100	100	97.3255
-38.8	38.8	100	100	97.3344
-38.9	38.9	100	100	97.3433
-39.0	39.0	100	100	97.3523
-39.1	39.1	100	100	97.3612
-39.2	39.2	100	100	97.3701
-39.3	39.3	100	100	97.379
-39.4	39.4	100	100	97.3879
-39.5	39.5	100	100	97.3968
-39.6	39.6	100	100	97.4058
-39.7	39.7	100	100	97.4147
-39.8	39.8	100	100	97.4236
-39.9	39.9	100	100	97.4325
-40.0	40.0	100	100	97.4414
-40.1	40.1	100	100	97.4504
-40.2	40.2	100	100	97.4593
-40.3	40.3	100	100	97.4682
-40.4	40.4	100	100	97.4771
-40.5	40.5	100	100	97.486
-40.6	40.6	100	100	97.495
-40.7	40.7	100	100	97.5039
-40.8	40.8	100	100	97.5128
-40.9	40.9	100	100	97.5217
-41.0	41.0	100	100	97.5306
-41.1	41.1	100	100	97.5395
-41.2	41.2	100	100	97.5485
-41.3	41.3	100	100	97.5574
-41.4	41.4	100	100	97.5663
-41.5	41.5	100	100	97.5752
-41.6	41.6	100	100	97.5841
-41.7	41.7	100	100	97.5931
-41.8	41.8	100	100	97.602
-41.9	41.9	100	100	97.6109
-42.0	42.0	100	100	97.6198
-42.1	42.1	100	100	97.6287
-42.2	42.2	100	100	97.6377
-42.3	42.3	100	100	97.6466
-42.4	42.4	100	100	97.6555
-42.5	42.5	100	100	97.6644
-42.6	42.6	100	100	97.6733
-42.7	42.7	100	100	97.6823
-42.8	42.8	100	100	97.6912
-42.9	42.9	100	100	97.7001
-43.0	43.0	100	100	97.709
-43.1	43.1	100	100	97.7179
-43.2	43.2	100	100	97.7268
-43.3	43.3	100	100	97.7358
-43.4	43.4	100	100	97.7447
-43.5	43.5	100	100	97.7536
-43.6	43.6	100	100	97.7625
-43.7	43.7	100	100	97.7714
-43.8	43.8	100	100	97.7804
-43.9	43.9	100	100	97.7893
-44.0	44.0	100	100	97.7982
-44.1	44.1	100	100	97.8071
-44.2	44.2	100	100	97.816
-44.3	44.3	100	100	97.825
-44.4	44.4	100	100	97.8339
-44.5	44.5	100	100	97.8428
-44.6	44.6	100	100	97.8517
-44.7	44.7	100	100	97.8606
-44.8	44.8	100	100	97.8695
-44.9	44.9	100	100	97.8785
-45.0	45.0	100	100	97.8874
-45.1	45.1	100	100	97.8963
-45.2	45.2	100	100	97.9052
-45.3	45.3	100	100	97.9141
-45.4	45.4	100	100	97.9231
-45.5	45.5	100	100	97.932
-45.6	45.6	100	100	97.9409
-45.7	45.7	100	100	97.9498
-45.8	45.8	100	100	97.9587
-45.9	45.9	100	100	97.9677
-46.0	46.0	100	100	97.9766
-46.1	46.1	100	100	97.9855
-46.2	46.2	100	100	97.9944
-46.3	46.3	100	100	98.0033
-46.4	46.4	100	100	98.0123
-46.5	46.5	100	100	98.0212
-46.6	46.6	100	100	98.0301
-46.7	46.7	100	100	98.039
-46.8	46.8	100	100	98.0479
-46.9	46.9	100	100	98.0568
-47.0	47.0	100	100	98.0658
-47.1	47.1	100	100	98.0747
-47.2	47.2	100	100	98.0836
-47.3	47.3	100	100	98.0925
-47.4	47.4	100	100	98.1014
-47.5	47.5	100	100	98.1104
-47.6	47.6	100	100	98.1193
-47.7	47.7	100	100	98.1282
-47.8	47.8	100	100	98.1371
-47.9	47.9	100	100	98.146
-48.0	48.0	100	100	98.155
-48.1	48.1	100	100	98.1639
-48.2	48.2	100	100	98.1728
-48.3	48.3	100	100	98.1817
-48.4	48.4	100	100	98.1906
-48.5	48.5	100	100	98.1995
-48.6	48.6	100	100	98.2085
-48.7	48.7	100	100	98.2174
-48.8	48.8	100	100	98.2263
-48.9	48.9	100	100	98.2352
-49.0	49.0	100	100	98.2441
-49.1	49.1	100	100	98.2531
-49.2	49.2	100	100	98.262
-49.3	49.3	100	100	98.2709
-49.4	49.4	100	100	98.2798
-49.5	49.5	100	100	98.2887
-49.6	49.6	100	100	98.2977
-49.7	49.7	100	100	98.3066
-49.8	49.8	100	100	98.3155
-49.9	49.9	100	100	98.3244
-50.0	50.0	100	100	98.3333
-50.1	50.1	100	100	98.3423
-50.2	50.2	100	100	98.3512
-50.3	50.3	100	100	98.3601
-50.4	50.4	100	100	98.369
-50.5	50.5	100	100	98.3779
-50.6	50.6	100	100	98.3868
-50.7	50.7	100	100	98.3958
-50.8	50.8	100	100	98.4047
-50.9	50.9	100	100	98.4136
-51.0	51.0	100	100	98.4225
-51.1	51.1	100	100	98.4314
-51.2	51.2	100	100	98.4404
-51.3	51.3	100	100	98.4493
-51.4	51.4	100	100	98.4582
-51.5	51.5	100	100	98.4671
-51.6	51.6	100	100	98.476
-51.7	51.7	100	100	98.485
-51.8	51.8	100	100	98.4939
-51.9	51.9	100	100	98.5028
-52.0	52.0	100	100	98.5117
-52.1	52.1	100	100	98.5206
-52.2	52.2	100	100	98.5295
-52.3	52.3	100	100	98.5385
-52.4	52.4	100	100	98.5474
-52.5	52.5	100	100	98.5563
-52.6	52.6	100	100	98.5652
-52.7	52.7	100	100	98.5741
-52.8	52.8	100	100	98.5831
-52.9	52.9	100	100	98.592
-53.0	53.0	100	100	98.6009
-53.1	53.1	100	100	98.6098
-53.2	53.2	100	100	98.6187
-53.3	53.3	100	100	98.6277
-53.4	53.4	100	100	98.6366
-53.5	53.5	100	100	98.6455
-53.6	53.6	100	100	98.6544
-53.7	53.7	100	100	98.6633
-53.8	53.8	100	100	98.6723
-53.9	53.9	100	100	98.6812
-54.0	54.0	100	100	98.6901
-54.1	54.1	100	100	98.699
-54.2	54.2	100	100	98.7079
-54.3	54.3	100	100	98.7168
-54.4	54.4	100	100	98.7258
-54.5	54.5	100	100	98.7347
-54.6	54.6	100	100	98.7436
-54.7	54.7	100	100	98.7525
-54.8	54.8	100	100	98.7614
-54.9	54.9	100	100	98.7704
-55.0	55.0	100	100	98.7793
-55.1	55.1	100	100	98.7882
-55.2	55.2	100	100	98.7971
-55.3	55.3	100	100	98.806
-55.4	55.4	100	100	98.815
-55.5	55.5	100	100	98.8239
-55.6	55.6	100	100	98.8328
-55.7	55.7	100	100	98.8417
-55.8	55.8	100	100	98.8506
-55.9	55.9	100	100	98.8595
-56.0	56.0	100	100	98.8685
-56.1	56.1	100	100	98.8774
-56.2	56.2	100	100	98.8863
-56.3	56.3	100	100	98.8952
-56.4	56.4	100	100	98.9041
-56.5	56.5	100	100	98.9131
-56.6	56.6	100	100	98.922
-56.7	56.7	100	100	98.9309
-56.8	56.8	100	100	98.9398
-56.9	56.9	100	100	98.9487
-57.0	57.0	100	100	98.9577
-57.1	57.1	100	100	98.9666
-57.2	57.2	100	100	98.9755
-57.3	57.3	100	100	98.9844
-57.4	57.4	100	100	98.9933
-57.5	57.5	100	100	99.0023
-57.6	57.6	100	100	99.0112
-57.7	57.7	100	100	99.0201
-57.8	57.8	100	100	99.029
-57.9	57.9	100	100	99.0379
-58.0	58.0	100	100	99.0468
-58.1	58.1	100	100	99.0558
-58.2	58.2	100	100	99.0647
-58.3	58.3	100	100	99.0736
-58.4	58.4	100	100	99.0825
-58.5	58.5	100	100	99.0914
-58.6	58.6	100	100	99.1004
-58.7	58.7	100	100	99.1093
-58.8	58.8	100	100	99.1182
-58.9	58.9	100	100	99.1271
-59.0	59.0	100	100	99.136
-59.1	59.1	100	100	99.145
-59.2	59.2	100	100	99.1539
-59.3	59.3	100	100	99.1628
-59.4	59.4	100	100	99.1717
-59.5	59.5	100	100	99.1806
-59.6	59.6	100	100	99.1895
-59.7	59.7	100	100	99.1985
-59.8	59.8	100	100	99.2074
-59.9	59.9	100	100	99.2163
-60.0	60.0	100	100	99.2252
-60.1	60.1	100	100	99.2341
-60.2	60.2	100	100	99.2431
-60.3	60.3	100	100	99.252
-60.4	60.4	100	100	99.2609
-60.5	60.5	100	100	99.2698
-60.6	60.6	100	100	99.2787
-60.7	60.7	100	100	99.2877
-60.8	60.8	100	100	99.2966
-60.9	60.9	100	100	99.3055
-61.0	61.0	100	100	99.3144
-61.1	61.1	100	100	99.3233
-61.2	61.2	100	100	99.3323
-61.3	61.3	100	100	99.3412
-61.4	61.4	100	100	99.3501
-61.5	61.5	100	100	99.359
-61.6	61.6	100	100	99.3679
-61.7	61.7	100	100	99.3768
-61.8	61.8	100	100	99.3858
-61.9	61.9	100	100	99.3947
-62.0	62.0	100	100	99.4036
-62.1	62.1	100	100	99.4125
-62.2	62.2	100	100	99.4214
-62.3	62.3	100	100	99.4304
-62.4	62.4	100	100	99.4393
-62.5	62.5	100	100	99.4482
-62.6	62.6	100	100	99.4571
-62.7	62.7	100	100	99.466
-62.8	62.8	100	100	99.475
-62.9	62.9	100	100	99.4839
-63.0	63.0	100	100	99.4928
-63.1	63.1	100	100	99.5017
-63.2	63.2	100	100	99.5106
-63.3	63.3	100	100	99.5195
-63.4	63.4	100	100	99.5285
-63.5	63.5	100	100	99.5374
-63.6	63.6	100	100	99.5463
-63.7	63.7	100	100	99.5552
-63.8	63.8	100	100	99.5641
-63.9	63.9	100	100	99.5731
-64.0	64.0	100	100	99.582
-64.1	64.1	100	100	99.5909
-64.2	64.2	100	100	99.5998
-64.3	64.3	100	100	99.6087
-64.4	64.4	100	100	99.6177
-64.5	64.5	100	100	99.6266
-64.6	64.6	100	100	99.6355
-64.7	64.7	100	100	99.6444
-64.8	64.8	100	100	99.6533
-64.9	64.9	100	100	99.6623
-65.0	65.0	100	100	99.6712
-65.1	65.1	100	100	99.6801
-65.2	65.2	100	100	99.689
-65.3	65.3	100	100	99.6979
-65.4	65.4	100	100	99.7068
-65.5	65.5	100	100	99.7158
-65.6	65.6	100	100	99.7247
-65.7	65.7	100	100	99.7336
-65.8	65.8	100	100	99.7425
-65.9	65.9	100	100	99.7514
-66.0	66.0	100	100	99.7604
-66.1	66.1	100	100	99.7693
-66.2	66.2	100	100	99.7782
-66.3	66.3	100	100	99.7871
-66.4	66.4	100	100	99.796
-66.5	66.5	100	100	99.805
-66.6	66.6	100	100	99.8139
-66.7	66.7	100	100	99.8228
-66.8	66.8	100	100	99.8317
-66.9	66.9	100	100	99.8406
-67.0	67.0	100	100	99.8495
-67.1	67.1	100	100	99.8585
-67.2	67.2	100	100	99.8674
-67.3	67.3	100	100	99.8763
-67.4	67.4	100	100	99.8852
-67.5	67.5	100	100	99.8941
-67.6	67.6	100	100	99.9031
-67.7	67.7	100	100	99.912
-67.8	67.8	100	100	99.9209
-67.9	67.9	100	100	99.9298
-68.0	68.0	100	100	99.9387
-68.1	68.1	100	100	99.9477
-68.2	68.2	100	100	99.9566
-68.3	68.3	100	100	99.9655
-68.4	68.4	100	100	99.9744
-68.5	68.5	100	100	99.9833
-68.6	68.6	100	100	99.9923
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.319355	0.319355	0.30871
-0.2	0.2	0.63871	0.63871	0.617419
-0.3	0.3	0.958065	0.958065	0.926129
-0.4	0.4	1.27742	1.27742	1.23484
-0.5	0.5	1.59677	1.59677	1.54355
-0.6	0.6	1.91613	1.91613	1.85226
-0.7	0.7	2.23548	2.23548	2.16097
-0.8	0.8	2.55484	2.55484	2.46968
-0.9	0.9	2.87419	2.87419	2.77839
-1.0	1.0	3.19355	3.19355	3.0871
-1.1	1.1	3.5129	3.5129	3.39581
-1.2	1.2	3.83226	3.83226	3.70452
-1.3	1.3	4.15161	4.15161	4.01323
-1.4	1.4	4.47097	4.47097	4.32194
-1.5	1.5	4.79032	4.79032	4.63065
-1.6	1.6	5.10968	5.10968	4.93935
-1.7	1.7	5.42903	5.42903	5.24806
-1.8	1.8	5.74839	5.74839	5.55677
-1.9	1.9	6.06774	6.06774	5.86548
-2.0	2.0	6.3871	6.3871	6.17419
-2.1	2.1	6.70645	6.70645	6.4829
-2.2	2.2	7.02581	7.02581	6.79161
-2.3	2.3	7.34516	7.34516	7.10032
-2.4	2.4	7.66452	7.66452	7.40903
-2.5	2.5	7.98387	7.98387	7.71774
-2.6	2.6	8.30323	8.30323	8.02645
-2.7	2.7	8.62258	8.62258	8.33516
-2.8	2.8	8.94194	8.94194	8.64387
-2.9	2.9	9.26129	9.26129	8.95258
-3.0	3.0	9.58065	9.58065	9.26129
-3.1	3.1	9.9	9.9	9.57
-3.2	3.2	10.2194	10.2194	9.87871
-3.3	3.3	10.5387	10.5387	10.1874
-3.4	3.4	10.8581	10.8581	10.4961
-3.5	3.5	11.1774	11.1774	10.8048
-3.6	3.6	11.4968	11.4968	11.1135
-3.7	3.7	11.8161	11.8161	11.4223
-3.8	3.8	12.1355	12.1355	11.731
-3.9	3.9	12.4548	12.4548	12.0397
-4.0	4.0	12.7742	12.7742	12.3484
-4.1	4.1	13.0935	13.0935	12.6571
-4.2	4.2	13.4129	13.4129	12.9658
-4.3	4.3	13.7323	13.7323	13.2745
-4.4	4.4	14.0516	14.0516	13.5832
-4.5	4.5	14.371	14.371	13.8919
-4.6	4.6	14.6903	14.6903	14.2006
-4.7	4.7	15.0097	15.0097	14.5094
-4.8	4.8	15.329	15.329	14.8181
-4.9	4.9	15.6484	15.6484	15.1268
-5.0	5.0	15.9677	15.9677	15.4355
-5.1	5.1	16.2871	16.2871	15.7442
-5.2	5.2	16.6065	16.6065	16.0529
-5.3	5.3	16.9258	16.9258	16.3616
-5.4	5.4	17.2452	17.2452	16.6703
-5.5	5.5	17.5645	17.5645	16.979
-5.6	5.6	17.8839	17.8839	17.2877
-5.7	5.7	18.2032	18.2032	17.5965
-5.8	5.8	18.5226	18.5226	17.9052
-5.9	5.9	18.8419	18.8419	18.2139
-6.0	6.0	19.1613	19.1613	18.5226
-6.1	6.1	19.4806	19.4806	18.8313
-6.2	6.2	19.8	19.8	19.14
-6.3	6.3	20.1194	20.1194	19.4487
-6.4	6.4	20.4387	20.4387	19.7574
-6.5	6.5	20.7581	20.7581	20.0661
-6.6	6.6	21.0774	21.0774	20.3748
-6.7	6.7	21.3968	21.3968	20.6835
-6.8	6.8	21.7161	21.7161	20.9923
-6.9	6.9	22.0355	22.0355	21.301
-7.0	7.0	22.3548	22.3548	21.6097
-7.1	7.1	22.6742	22.6742	21.9184
-7.2	7.2	22.9935	22.9935	22.2271
-7.3	7.3	23.3129	23.3129	22.5358
-7.4	7.4	23.6323	23.6323	22.8445
-7.5	7.5	23.9516	23.9516	23.1532
-7.6	7.6	24.271	24.271	23.4619
-7.7	7.7	24.5903	24.5903	23.7706
-7.8	7.8	24.9097	24.9097	24.0794
-7.9	7.9	25.229	25.229	24.3881
-8.0	8.0	25.5484	25.5484	24.6968
-8.1	8.1	25.8677	25.8677	25.0055
-8.2	8.2	26.1871	26.1871	25.3142
-8.3	8.3	26.5065	26.5065	25.6229
-8.4	8.4	26.8258	26.8258	25.9316
-8.5	8.5	27.1452	27.1452	26.2403
-8.6	8.6	27.4645	27.4645	26.549
-8.7	8.7	27.7839	27.7839	26.8577
-8.8	8.8	28.1032	28.1032	27.1665
-8.9	8.9	28.4226	28.4226	27.4752
-9.0	9.0	28.7419	28.7419	27.7839
-9.1	9.1	29.0613	29.0613	28.0926
-9.2	9.2	29.3806	29.3806	28.4013
-9.3	9.3	29.7	29.7	28.71
-9.4	9.4	30.0194	30.0194	29.0187
-9.5	9.5	30.3387	30.3387	29.3274
-9.6	9.6	30.6581	30.6581	29.6361
-9.7	9.7	30.9774	30.9774	29.9448
-9.8	9.8	31.2968	31.2968	30.2535
-9.9	9.9	31.6161	31.6161	30.5623
-10.0	10.0	31.9355	31.9355	30.871
-10.1	10.1	32.2548	32.2548	31.1797
-10.2	10.2	32.5742	32.5742	31.4884
-10.3	10.3	32.8935	32.8935	31.7971
-10.4	10.4	33.2129	33.2129	32.1058
-10.5	10.5	33.5323	33.5323	32.4145
-10.6	10.6	33.8516	33.8516	32.7232
-10.7	10.7	34.171	34.171	33.0319
-10.8	10.8	34.4903	34.4903	33.3406
-10.9	10.9	34.8097	34.8097	33.6494
-11.0	11.0	35.129	35.129	33.9581
-11.1	11.1	35.4484	35.4484	34.2668
-11.2	11.2	35.7677	35.7677	34.5755
-11.3	11.3	36.0871	36.0871	34.8842
-11.4	11.4	36.4065	36.4065	35.1929
-11.5	11.5	36.7258	36.7258	35.5016
-11.6	11.6	37.0452	37.0452	35.8103
-11.7	11.7	37.3645	37.3645	36.119
-11.8	11.8	37.6839	37.6839	36.4277
-11.9	11.9	38.0032	38.0032	36.7365
-12.0	12.0	38.3226	38.3226	37.0452
-12.1	12.1	38.6419	38.6419	37.3539
-12.2	12.2	38.9613	38.9613	37.6626
-12.3	12.3	39.2806	39.2806	37.9713
-12.4	12.4	39.6	39.6	38.28
-12.5	12.5	39.9194	39.9194	38.5887
-12.6	12.6	40.2387	40.2387	38.8974
-12.7	12.7	40.5581	40.5581	39.2061
-12.8	12.8	40.8774	40.8774	39.5148
-12.9	12.9	41.1968	41.1968	39.8235
-13.0	13.0	41.5161	41.5161	40.1323
-13.1	13.1	41.8355	41.8355	40.441
-13.2	13.2	42.1548	42.1548	40.7497
-13.3	13.3	42.4742	42.4742	41.0584
-13.4	13.4	42.7935	42.7935	41.3671
-13.5	13.5	43.1129	43.1129	41.6758
-13.6	13.6	43.4323	43.4323	41.9845
-13.7	13.7	43.7516	43.7516	42.2932
-13.8	13.8	44.071	44.071	42.6019
-13.9	13.9	44.3903	44.3903	42.9106
-14.0	14.0	44.7097	44.7097	43.2194
-14.1	14.1	45.029	45.029	43.5281
-14.2	14.2	45.3484	45.3484	43.8368
-14.3	14.3	45.6677	45.6677	44.1455
-14.4	14.4	45.9871	45.9871	44.4542
-14.5	14.5	46.3065	46.3065	44.7629
-14.6	14.6	46.6258	46.6258	45.0716
-14.7	14.7	46.9452	46.9452	45.3803
-14.8	14.8	47.2645	47.2645	45.689
-14.9	14.9	47.5839	47.5839	45.9977
-15.0	15.0	47.9032	47.9032	46.3065
-15.1	15.1	48.2226	48.2226	46.6152
-15.2	15.2	48.5419	48.5419	46.9239
-15.3	15.3	48.8613	48.8613	47.2326
-15.4	15.4	49.1806	49.1806	47.5413
-15.5	15.5	49.5	49.5	47.85
-15.6	15.6	49.8194	49.8194	48.1587
-15.7	15.7	50.1387	50.1387	48.4674
-15.8	15.8	50.4581	50.4581	48.7761
-15.9	15.9	50.7774	50.7774	49.0848
-16.0	16.0	51.0968	51.0968	49.3935
-16.1	16.1	51.4161	51.4161	49.7023
-16.2	16.2	51.7355	51.7355	50.011
-16.3	16.3	52.0548	52.0548	50.3197
-16.4	16.4	52.3742	52.3742	50.6284
-16.5	16.5	52.6935	52.6935	50.9371
-16.6	16.6	53.0129	53.0129	51.2458
-16.7	16.7	53.3323	53.3323	51.5545
-16.8	16.8	53.6516	53.6516	51.8632
-16.9	16.9	53.971	53.971	52.1719
-17.0	17.0	54.2903	54.2903	52.4806
-17.1	17.1	54.6097	54.6097	52.7894
-17.2	17.2	54.929	54.929	53.0981
-17.3	17.3	55.2484	55.2484	53.4068
-17.4	17.4	55.5677	55.5677	53.7155
-17.5	17.5	55.8871	55.8871	54.0242
-17.6	17.6	56.2065	56.2065	54.3329
-17.7	17.7	56.5258	56.5258	54.6416
-17.8	17.8	56.8452	56.8452	54.9503
-17.9	17.9	57.1645	57.1645	55.259
-18.0	18.0	57.4839	57.4839	55.5677
-18.1	18.1	57.8032	57.8032	55.8765
-18.2	18.2	58.1226	58.1226	56.1852
-18.3	18.3	58.4419	58.4419	56.4939
-18.4	18.4	58.7613	58.7613	56.8026
-18.5	18.5	59.0806	59.0806	57.1113
-18.6	18.6	59.4	59.4	57.42
-18.7	18.7	59.7194	59.7194	57.7287
-18.8	18.8	60.0387	60.0387	58.0374
-18.9	18.9	60.3581	60.3581	58.3461
-19.0	19.0	60.6774	60.6774	58.6548
-19.1	19.1	60.9968	60.9968	58.9635
-19.2	19.2	61.3161	61.3161	59.2723
-19.3	19.3	61.6355	61.6355	59.581
-19.4	19.4	61.9548	61.9548	59.8897
-19.5	19.5	62.2742	62.2742	60.1984
-19.6	19.6	62.5935	62.5935	60.5071
-19.7	19.7	62.9129	62.9129	60.8158
-19.8	19.8	63.2323	63.2323	61.1245
-19.9	19.9	63.5516	63.5516	61.4332
-20.0	20.0	63.871	63.871	61.7419
-20.1	20.1	64.1903	64.1903	62.0506
-20.2	20.2	64.5097	64.5097	62.3594
-20.3	20.3	64.829	64.829	62.6681
-20.4	20.4	65.1484	65.1484	62.9768
-20.5	20.5	65.4677	65.4677	63.2855
-20.6	20.6	65.7871	65.7871	63.5942
-20.7	20.7	66.1065	66.1065	63.9029
-20.8	20.8	66.4258	66.4258	64.2116
-20.9	20.9	66.7452	66.7452	64.5203
-21.0	21.0	67.0645	67.0645	64.829
-21.1	21.1	67.3839	67.3839	65.1377
-21.2	21.2	67.7032	67.7032	65.4465
-21.3	21.3	68.0226	68.0226	65.7552
-21.4	21.4	68.3419	68.3419	66.0639
-21.5	21.5	68.6613	68.6613	66.3726
-21.6	21.6	68.9806	68.9806	66.6813
-21.7	21.7	69.3	69.3	66.99
-21.8	21.8	69.6194	69.6194	67.2987
-21.9	21.9	69.9387	69.9387	67.6074
-22.0	22.0	70.2581	70.2581	67.9161
-22.1	22.1	70.5774	70.5774	68.2248
-22.2	22.2	70.8968	70.8968	68.5335
-22.3	22.3	71.2161	71.2161	68.8423
-22.4	22.4	71.5355	71.5355	69.151
-22.5	22.5	71.8548	71.8548	69.4597
-22.6	22.6	72.1742	72.1742	69.7684
-22.7	22.7	72.4935	72.4935	70.0771
-22.8	22.8	72.8129	72.8129	70.3858
-22.9	22.9	73.1323	73.1323	70.6945
-23.0	23.0	73.4516	73.4516	71.0032
-23.1	23.1	73.771	73.771	71.3119
-23.2	23.2	74.0903	74.0903	71.6206
-23.3	23.3	74.4097	74.4097	71.9294
-23.4	23.4	74.729	74.729	72.2381
-23.5	23.5	75.0484	75.0484	72.5468
-23.6	23.6	75.3677	75.3677	72.8555
-23.7	23.7	75.6871	75.6871	73.1642
-23.8	23.8	76.0065	76.0065	73.4729
-23.9	23.9	76.3258	76.3258	73.7816
-24.0	24.0	76.6452	76.6452	74.0903
-24.1	24.1	76.9645	76.9645	74.399
-24.2	24.2	77.2839	77.2839	74.7077
-24.3	24.3	77.6032	77.6032	75.0165
-24.4	24.4	77.9226	77.9226	75.3252
-24.5	24.5	78.2419	78.2419	75.6339
-24.6	24.6	78.5613	78.5613	75.9426
-24.7	24.7	78.8806	78.8806	76.2513
-24.8	24.8	79.2	79.2	76.56
-24.9	24.9	79.5194	79.5194	76.8687
-25.0	25.0	79.8387	79.8387	77.1774
-25.1	25.1	80.1581	80.1581	77.4861
-25.2	25.2	80.4774	80.4774	77.7948
-25.3	25.3	80.7968	80.7968	78.1035
-25.4	25.4	81.1161	81.1161	78.4123
-25.5	25.5	81.4355	81.4355	78.721
-25.6	25.6	81.7548	81.7548	79.0297
-25.7	25.7	82.0742	82.0742	79.3384
-25.8	25.8	82.3935	82.3935	79.6471
-25.9	25.9	82.7129	82.7129	79.9558
-26.0	26.0	83.0323	83.0323	80.2645
-26.1	26.1	83.3516	83.3516	80.5732
-26.2	26.2	83.671	83.671	80.8819
-26.3	26.3	83.9903	83.9903	81.1906
-26.4	26.4	84.3097	84.3097	81.4994
-26.5	26.5	84.629	84.629	81.8081
-26.6	26.6	84.9484	84.9484	82.1168
-26.7	26.7	85.2677	85.2677	82.4255
-26.8	26.8	85.5871	85.5871	82.7342
-26.9	26.9	85.9065	85.9065	83.0429
-27.0	27.0	86.2258	86.2258	83.3516
-27.1	27.1	86.5452	86.5452	83.6603
-27.2	27.2	86.8645	86.8645	83.969
-27.3	27.3	87.1839	87.1839	84.2777
-27.4	27.4	87.5032	87.5032	84.5865
-27.5	27.5	87.8226	87.8226	84.8952
-27.6	27.6	88.1419	88.1419	85.2039
-27.7	27.7	88.4613	88.4613	85.5126
-27.8	27.8	88.7806	88.7806	85.8213
-27.9	27.9	89.1	89.1	86.13
-28.0	28.0	89.4194	89.4194	86.4387
-28.1	28.1	89.7387	89.7387	86.7474
-28.2	28.2	90.0581	90.0581	87.0561
-28.3	28.3	90.3774	90.3774	87.3648
-28.4	28.4	90.6968	90.6968	87.6735
-28.5	28.5	91.0161	91.0161	87.9823
-28.6	28.6	91.3355	91.3355	88.291
-28.7	28.7	91.6548	91.6548	88.5997
-28.8	28.8	91.9742	91.9742	88.9084
-28.9	28.9	92.2935	92.2935	89.2171
-29.0	29.0	92.6129	92.6129	89.5258
-29.1	29.1	92.9323	92.9323	89.8345
-29.2	29.2	93.2516	93.2516	90.1432
-29.3	29.3	93.571	93.571	90.4519
-29.4	29.4	93.8903	93.8903	90.7606
-29.5	29.5	94.2097	94.2097	91.0694
-29.6	29.6	94.529	94.529	91.3781
-29.7	29.7	94.8484	94.8484	91.6868
-29.8	29.8	95.1677	95.1677	91.9955
-29.9	29.9	95.4871	95.4871	92.3042
-30.0	30.0	95.8065	95.8065	92.6129
-30.1	30.1	96.1258	96.1258	92.9216
-30.2	30.2	96.4452	96.4452	93.2303
-30.3	30.3	96.7645	96.7645	93.539
-30.4	30.4	97.0839	97.0839	93.5647
-30.5	30.5	97.4032	97.4032	93.5815
-30.6	30.6	97.7226	97.7226	93.5983
-30.7	30.7	98.0419	98.0419	93.6151
-30.8	30.8	98.3613	98.3613	93.6319
-30.9	30.9	98.6806	98.6806	93.6487
-31.0	31.0	99	99	93.6655
-31.1	31.1	99.3194	99.3194	93.6823
-31.2	31.2	99.6387	99.6387	93.6992
-31.3	31.3	99.9581	99.9581	93.716
-31.4	31.4	100	100	93.7328
-31.5	31.5	100	100	93.7496
-31.6	31.6	100	100	93.7664
-31.7	31.7	100	100	93.7832
-31.8	31.8	100	100	93.8
-31.9	31.9	100	100	93.8168
-32.0	32.0	100	100	93.8336
-32.1	32.1	100	100	93.8504
-32.2	32.2	100	100	93.8672
-32.3	32.3	100	100	93.884
-32.4	32.4	100	100	93.9008
-32.5	32.5	100	100	93.9177
-32.6	32.6	100	100	93.9345
-32.7	32.7	100	100	93.9513
-32.8	32.8	100	100	93.9681
-32.9	32.9	100	100	93.9849
-33.0	33.0	100	100	94.0017
-33.1	33.1	100	100	94.0185
-33.2	33.2	100	100	94.0353
-33.3	33.3	100	100	94.0521
-33.4	33.4	100	100	94.0689
-33.5	33.5	100	100	94.0857
-33.6	33.6	100	100	94.1025
-33.7	33.7	100	100	94.1194
-33.8	33.8	100	100	94.1362
-33.9	33.9	100	100	94.153
-34.0	34.0	100	100	94.1698
-34.1	34.1	100	100	94.1866
-34.2	34.2	100	100	94.2034
-34.3	34.3	100	100	94.2202
-34.4	34.4	100	100	94.237
-34.5	34.5	100	100	94.2538
-34.6	34.6	100	100	94.2706
-34.7	34.7	100	100	94.2874
-34.8	34.8	100	100	94.3042
-34.9	34.9	100	100	94.3211
-35.0	35.0	100	100	94.3379
-35.1	35.1	100	100	94.3547
-35.2	35.2	100	100	94.3715
-35.3	35.3	100	100	94.3883
-35.4	35.4	100	100	94.4051
-35.5	35.5	100	100	94.4219
-35.6	35.6	100	100	94.4387
-35.7	35.7	100	100	94.4555
-35.8	35.8	100	100	94.4723
-35.9	35.9	100	100	94.4891
-36.0	36.0	100	100	94.5059
-36.1	36.1	100	100	94.5228
-36.2	36.2	100	100	94.5396
-36.3	36.3	100	100	94.5564
-36.4	36.4	100	100	94.5732
-36.5	36.5	100	100	94.59
-36.6	36.6	100	100	94.6068
-36.7	36.7	100	100	94.6236
-36.8	36.8	100	100	94.6404
-36.9	36.9	100	100	94.6572
-37.0	37.0	100	100	94.674
-37.1	37.1	100	100	94.6908
-37.2	37.2	100	100	94.7076
-37.3	37.3	100	100	94.7244
-37.4	37.4	100	100	94.7413
-37.5	37.5	100	100	94.7581
-37.6	37.6	100	100	94.7749
-37.7	37.7	100	100	94.7917
-37.8	37.8	100	100	94.8085
-37.9	37.9	100	100	94.8253
-38.0	38.0	100	100	94.8421
-38.1	38.1	100	100	94.8589
-38.2	38.2	100	100	94.8757
-38.3	38.3	100	100	94.8925
-38.4	38.4	100	100	94.9093
-38.5	38.5	100	100	94.9261
-38.6	38.6	100	100	94.943
-38.7	38.7	100	100	94.9598
-38.8	38.8	100	100	94.9766
-38.9	38.9	100	100	94.9934
-39.0	39.0	100	100	95.0102
-39.1	39.1	100	100	95.027
-39.2	39.2	100	100	95.0438
-39.3	39.3	100	100	95.0606
-39.4	39.4	100	100	95.0774
-39.5	39.5	100	100	95.0942
-39.6	39.6	100	100	95.111
-39.7	39.7	100	100	95.1278
-39.8	39.8	100	100	95.1447
-39.9	39.9	100	100	95.1615
-40.0	40.0	100	100	95.1783
-40.1	40.1	100	100	95.1951
-40.2	40.2	100	100	95.2119
-40.3	40.3	100	100	95.2287
-40.4	40.4	100	100	95.2455
-40.5	40.5	100	100	95.2623
-40.6	40.6	100	100	95.2791
-40.7	40.7	100	100	95.2959
-40.8	40.8	100	100	95.3127
-40.9	40.9	100	100	95.3295
-41.0	41.0	100	100	95.3463
-41.1	41.1	100	100	95.3632
-41.2	41.2	100	100	95.38
-41.3	41.3	100	100	95.3968
-41.4	41.4	100	100	95.4136
-41.5	41.5	100	100	95.4304
-41.6	41.6	100	100	95.4472
-41.7	41.7	100	100	95.464
-41.8	41.8	100	100	95.4808
-41.9	41.9	100	100	95.4976
-42.0	42.0	100	100	95.5144
-42.1	42.1	100	100	95.5312
-42.2	42.2	100	100	95.548
-42.3	42.3	100	100	95.5649
-42.4	42.4	100	100	95.5817
-42.5	42.5	100	100	95.5985
-42.6	42.6	100	100	95.6153
-42.7	42.7	100	100	95.6321
-42.8	42.8	100	100	95.6489
-42.9	42.9	100	100	95.6657
-43.0	43.0	100	100	95.6825
-43.1	43.1	100	100	95.6993
-43.2	43.2	100	100	95.7161
-43.3	43.3	100	100	95.7329
-43.4	43.4	100	100	95.7497
-43.5	43.5	100	100	95.7666
-43.6	43.6	100	100	95.7834
-43.7	43.7	100	100	95.8002
-43.8	43.8	100	100	95.817
-43.9	43.9	100	100	95.8338
-44.0	44.0	100	100	95.8506
-44.1	44.1	100	100	95.8674
-44.2	44.2	100	100	95.8842
-44.3	44.3	100	100	95.901
-44.4	44.4	100	100	95.9178
-44.5	44.5	100	100	95.9346
-44.6	44.6	100	100	95.9514
-44.7	44.7	100	100	95.9683
-44.8	44.8	100	100	95.9851
-44.9	44.9	100	100	96.0019
-45.0	45.0	100	100	96.0187
-45.1	45.1	100	100	96.0355
-45.2	45.2	100	100	96.0523
-45.3	45.3	100	100	96.0691
-45.4	45.4	100	100	96.0859
-45.5	45.5	100	100	96.1027
-45.6	45.6	100	100	96.1195
-45.7	45.7	100	100	96.1363
-45.8	45.8	100	100	96.1531
-45.9	45.9	100	100	96.1699
-46.0	46.0	100	100	96.1868
-46.1	46.1	100	100	96.2036
-46.2	46.2	100	100	96.2204
-46.3	46.3	100	100	96.2372
-46.4	46.4	100	100	96.254
-46.5	46.5	100	100	96.2708
-46.6	46.6	100	100	96.2876
-46.7	46.7	100	100	96.3044
-46.8	46.8	100	100	96.3212
-46.9	46.9	100	100	96.338
-47.0	47.0	100	100	96.3548
-47.1	47.1	100	100	96.3716
-47.2	47.2	100	100	96.3885
-47.3	47.3	100	100	96.4053
-47.4	47.4	100	100	96.4221
-47.5	47.5	100	100	96.4389
-47.6	47.6	100	100	96.4557
-47.7	47.7	100	100	96.4725
-47.8	47.8	100	100	96.4893
-47.9	47.9	100	100	96.5061
-48.0	48.0	100	100	96.5229
-48.1	48.1	100	100	96.5397
-48.2	48.2	100	100	96.5565
-48.3	48.3	100	100	96.5733
-48.4	48.4	100	100	96.5902
-48.5	48.5	100	100	96.607
-48.6	48.6	100	100	96.6238
-48.7	48.7	100	100	96.6406
-48.8	48.8	100	100	96.6574
-48.9	48.9	100	100	96.6742
-49.0	49.0	100	100	96.691
-49.1	49.1	100	100	96.7078
-49.2	49.2	100	100	96.7246
-49.3	49.3	100	100	96.7414
-49.4	49.4	100	100	96.7582
-49.5	49.5	100	100	96.775
-49.6	49.6	100	100	96.7919
-49.7	49.7	100	100	96.8087
-49.8	49.8	100	100	96.8255
-49.9	49.9	100	100	96.8423
-50.0	50.0	100	100	96.8591
-50.1	50.1	100	100	96.8759
-50.2	50.2	100	100	96.8927
-50.3	50.3	100	100	96.9095
-50.4	50.4	100	100	96.9263
-50.5	50.5	100	100	96.9431
-50.6	50.6	100	100	96.9599
-50.7	50.7	100	100	96.9767
-50.8	50.8	100	100	96.9935
-50.9	50.9	100	100	97.0104
-51.0	51.0	100	100	97.0272
-51.1	51.1	100	100	97.044
-51.2	51.2	100	100	97.0608
-51.3	51.3	100	100	97.0776
-51.4	51.4	100	100	97.0944
-51.5	51.5	100	100	97.1112
-51.6	51.6	100	100	97.128
-51.7	51.7	100	100	97.1448
-51.8	51.8	100	100	97.1616
-51.9	51.9	100	100	97.1784
-52.0	52.0	100	100	97.1952
-52.1	52.1	100	100	97.2121
-52.2	52.2	100	100	97.2289
-52.3	52.3	100	100	97.2457
-52.4	52.4	100	100	97.2625
-52.5	52.5	100	100	97.2793
-52.6	52.6	100	100	97.2961
-52.7	52.7	100	100	97.3129
-52.8	52.8	100	100	97.3297
-52.9	52.9	100	100	97.3465
-53.0	53.0	100	100	97.3633
-53.1	53.1	100	100	97.3801
-53.2	53.2	100	100	97.3969
-53.3	53.3	100	100	97.4138
-53.4	53.4	100	100	97.4306
-53.5	53.5	100	100	97.4474
-53.6	53.6	100	100	97.4642
-53.7	53.7	100	100	97.481
-53.8	53.8	100	100	97.4978
-53.9	53.9	100	100	97.5146
-54.0	54.0	100	100	97.5314
-54.1	54.1	100	100	97.5482
-54.2	54.2	100	100	97.565
-54.3	54.3	100	100	97.5818
-54.4	54.4	100	100	97.5986
-54.5	54.5	100	100	97.6154
-54.6	54.6	100	100	97.6323
-54.7	54.7	100	100	97.6491
-54.8	54.8	100	100	97.6659
-54.9	54.9	100	100	97.6827
-55.0	55.0	100	100	97.6995
-55.1	55.1	100	100	97.7163
-55.2	55.2	100	100	97.7331
-55.3	55.3	100	100	97.7499
-55.4	55.4	100	100	97.7667
-55.5	55.5	100	100	97.7835
-55.6	55.6	100	100	97.8003
-55.7	55.7	100	100	97.8171
-55.8	55.8	100	100	97.834
-55.9	55.9	100	100	97.8508
-56.0	56.0	100	100	97.8676
-56.1	56.1	100	100	97.8844
-56.2	56.2	100	100	97.9012
-56.3	56.3	100	100	97.918
-56.4	56.4	100	100	97.9348
-56.5	56.5	100	100	97.9516
-56.6	56.6	100	100	97.9684
-56.7	56.7	100	100	97.9852
-56.8	56.8	100	100	98.002
-56.9	56.9	100	100	98.0188
-57.0	57.0	100	100	98.0357
-57.1	57.1	100	100	98.0525
-57.2	57.2	100	100	98.0693
-57.3	57.3	100	100	98.0861
-57.4	57.4	100	100	98.1029
-57.5	57.5	100	100	98.1197
-57.6	57.6	100	100	98.1365
-57.7	57.7	100	100	98.1533
-57.8	57.8	100	100	98.1701
-57.9	57.9	100	100	98.1869
-58.0	58.0	100	100	98.2037
-58.1	58.1	100	100	98.2205
-58.2	58.2	100	100	98.2374
-58.3	58.3	100	100	98.2542
-58.4	58.4	100	100	98.271
-58.5	58.5	100	100	98.2878
-58.6	58.6	100	100	98.3046
-58.7	58.7	100	100	98.3214
-58.8	58.8	100	100	98.3382
-58.9	58.9	100	100	98.355
-59.0	59.0	100	100	98.3718
-59.1	59.1	100	100	98.3886
-59.2	59.2	100	100	98.4054
-59.3	59.3	100	100	98.4222
-59.4	59.4	100	100	98.439
-59.5	59.5	100	100	98.4559
-59.6	59.6	100	100	98.4727
-59.7	59.7	100	100	98.4895
-59.8	59.8	100	100	98.5063
-59.9	59.9	100	100	98.5231
-60.0	60.0	100	100	98.5399
-60.1	60.1	100	100	98.5567
-60.2	60.2	100	100	98.5735
-60.3	60.3	100	100	98.5903
-60.4	60.4	100	100	98.6071
-60.5	60.5	100	100	98.6239
-60.6	60.6	100	100	98.6407
-60.7	60.7	100	100	98.6576
-60.8	60.8	100	100	98.6744
-60.9	60.9	100	100	98.6912
-61.0	61.0	100	100	98.708
-61.1	61.1	100	100	98.7248
-61.2	61.2	100	100	98.7416
-61.3	61.3	100	100	98.7584
-61.4	61.4	100	100	98.7752
-61.5	61.5	100	100	98.792
-61.6	61.6	100	100	98.8088
-61.7	61.7	100	100	98.8256
-61.8	61.8	100	100	98.8424
-61.9	61.9	100	100	98.8593
-62.0	62.0	100	100	98.8761
-62.1	62.1	100	100	98.8929
-62.2	62.2	100	100	98.9097
-62.3	62.3	100	100	98.9265
-62.4	62.4	100	100	98.9433
-62.5	62.5	100	100	98.9601
-62.6	62.6	100	100	98.9769
-62.7	62.7	100	100	98.9937
-62.8	62.8	100	100	99.0105
-62.9	62.9	100	100	99.0273
-63.0	63.0	100	100	99.0441
-63.1	63.1	100	100	99.061
-63.2	63.2	100	100	99.0778
-63.3	63.3	100	100	99.0946
-63.4	63.4	100	100	99.1114
-63.5	63.5	100	100	99.1282
-63.6	63.6	100	100	99.145
-63.7	63.7	100	100	99.1618
-63.8	63.8	100	100	99.1786
-63.9	63.9	100	100	99.1954
-64.0	64.0	100	100	99.2122
-64.1	64.1	100	100	99.229
-64.2	64.2	100	100	99.2458
-64.3	64.3	100	100	99.2626
-64.4	64.4	100	100	99.2795
-64.5	64.5	100	100	99.2963
-64.6	64.6	100	100	99.3131
-64.7	64.7	100	100	99.3299
-64.8	64.8	100	100	99.3467
-64.9	64.9	100	100	99.3635
-65.0	65.0	100	100	99.3803
-65.1	65.1	100	100	99.3971
-65.2	65.2	100	100	99.4139
-65.3	65.3	100	100	99.4307
-65.4	65.4	100	100	99.4475
-65.5	65.5	100	100	99.4643
-65.6	65.6	100	100	99.4812
-65.7	65.7	100	100	99.498
-65.8	65.8	100	100	99.5148
-65.9	65.9	100	100	99.5316
-66.0	66.0	100	100	99.5484
-66.1	66.1	100	100	99.5652
-66.2	66.2	100	100	99.582
-66.3	66.3	100	100	99.5988
-66.4	66.4	100	100	99.6156
-66.5	66.5	100	100	99.6324
-66.6	66.6	100	100	99.6492
-66.7	66.7	100	100	99.666
-66.8	66.8	100	100	99.6829
-66.9	66.9	100	100	99.6997
-67.0	67.0	100	100	99.7165
-67.1	67.1	100	100	99.7333
-67.2	67.2	100	100	99.7501
-67.3	67.3	100	100	99.7669
-67.4	67.4	100	100	99.7837
-67.5	67.5	100	100	99.8005
-67.6	67.6	100	100	99.8173
-67.7	67.7	100	100	99.8341
-67.8	67.8	100	100	99.8509
-67.9	67.9	100	100	99.8677
-68.0	68.0	100	100	99.8846
-68.1	68.1	100	100	99.9014
-68.2	68.2	100	100	99.9182
-68.3	68.3	100	100	99.935
-68.4	68.4	100	100	99.9518
-68.5	68.5	100	100	99.9686
-68.6	68.6	100	100	99.9854
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	51
-Learning task	Classification analysis
-Target variable	Class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.979458	1
-R2	Classifier	Univariate	Univariate SPetalLength	0.901961	0.704425	0.95993
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	13	0
-$Iris-virginica	0	0	19
-
-Rank	R2
-
-Confusion matrix
-	Iris-setosa	Iris-versicolor	Iris-virginica
-$Iris-setosa	19	0	0
-$Iris-versicolor	0	12	4
-$Iris-virginica	0	1	15
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Value group	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}	Interest
-{4, 3}	12	0	4	0.266843
-{1}	0	19	0	0.44088
-{5, 6}	1	0	15	0.292278
-
-Lift curves	Iris-setosa
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.268421
-0.2	0.2	0.536842	0.536842	0.536842
-0.3	0.3	0.805263	0.805263	0.805263
-0.4	0.4	1.07368	1.07368	1.07368
-0.5	0.5	1.34211	1.34211	1.34211
-0.6	0.6	1.61053	1.61053	1.61053
-0.7	0.7	1.87895	1.87895	1.87895
-0.8	0.8	2.14737	2.14737	2.14737
-0.9	0.9	2.41579	2.41579	2.41579
-1.0	1.0	2.68421	2.68421	2.68421
-1.1	1.1	2.95263	2.95263	2.95263
-1.2	1.2	3.22105	3.22105	3.22105
-1.3	1.3	3.48947	3.48947	3.48947
-1.4	1.4	3.75789	3.75789	3.75789
-1.5	1.5	4.02632	4.02632	4.02632
-1.6	1.6	4.29474	4.29474	4.29474
-1.7	1.7	4.56316	4.56316	4.56316
-1.8	1.8	4.83158	4.83158	4.83158
-1.9	1.9	5.1	5.1	5.1
-2.0	2.0	5.36842	5.36842	5.36842
-2.1	2.1	5.63684	5.63684	5.63684
-2.2	2.2	5.90526	5.90526	5.90526
-2.3	2.3	6.17368	6.17368	6.17368
-2.4	2.4	6.44211	6.44211	6.44211
-2.5	2.5	6.71053	6.71053	6.71053
-2.6	2.6	6.97895	6.97895	6.97895
-2.7	2.7	7.24737	7.24737	7.24737
-2.8	2.8	7.51579	7.51579	7.51579
-2.9	2.9	7.78421	7.78421	7.78421
-3.0	3.0	8.05263	8.05263	8.05263
-3.1	3.1	8.32105	8.32105	8.32105
-3.2	3.2	8.58947	8.58947	8.58947
-3.3	3.3	8.85789	8.85789	8.85789
-3.4	3.4	9.12632	9.12632	9.12632
-3.5	3.5	9.39474	9.39474	9.39474
-3.6	3.6	9.66316	9.66316	9.66316
-3.7	3.7	9.93158	9.93158	9.93158
-3.8	3.8	10.2	10.2	10.2
-3.9	3.9	10.4684	10.4684	10.4684
-4.0	4.0	10.7368	10.7368	10.7368
-4.1	4.1	11.0053	11.0053	11.0053
-4.2	4.2	11.2737	11.2737	11.2737
-4.3	4.3	11.5421	11.5421	11.5421
-4.4	4.4	11.8105	11.8105	11.8105
-4.5	4.5	12.0789	12.0789	12.0789
-4.6	4.6	12.3474	12.3474	12.3474
-4.7	4.7	12.6158	12.6158	12.6158
-4.8	4.8	12.8842	12.8842	12.8842
-4.9	4.9	13.1526	13.1526	13.1526
-5.0	5.0	13.4211	13.4211	13.4211
-5.1	5.1	13.6895	13.6895	13.6895
-5.2	5.2	13.9579	13.9579	13.9579
-5.3	5.3	14.2263	14.2263	14.2263
-5.4	5.4	14.4947	14.4947	14.4947
-5.5	5.5	14.7632	14.7632	14.7632
-5.6	5.6	15.0316	15.0316	15.0316
-5.7	5.7	15.3	15.3	15.3
-5.8	5.8	15.5684	15.5684	15.5684
-5.9	5.9	15.8368	15.8368	15.8368
-6.0	6.0	16.1053	16.1053	16.1053
-6.1	6.1	16.3737	16.3737	16.3737
-6.2	6.2	16.6421	16.6421	16.6421
-6.3	6.3	16.9105	16.9105	16.9105
-6.4	6.4	17.1789	17.1789	17.1789
-6.5	6.5	17.4474	17.4474	17.4474
-6.6	6.6	17.7158	17.7158	17.7158
-6.7	6.7	17.9842	17.9842	17.9842
-6.8	6.8	18.2526	18.2526	18.2526
-6.9	6.9	18.5211	18.5211	18.5211
-7.0	7.0	18.7895	18.7895	18.7895
-7.1	7.1	19.0579	19.0579	19.0579
-7.2	7.2	19.3263	19.3263	19.3263
-7.3	7.3	19.5947	19.5947	19.5947
-7.4	7.4	19.8632	19.8632	19.8632
-7.5	7.5	20.1316	20.1316	20.1316
-7.6	7.6	20.4	20.4	20.4
-7.7	7.7	20.6684	20.6684	20.6684
-7.8	7.8	20.9368	20.9368	20.9368
-7.9	7.9	21.2053	21.2053	21.2053
-8.0	8.0	21.4737	21.4737	21.4737
-8.1	8.1	21.7421	21.7421	21.7421
-8.2	8.2	22.0105	22.0105	22.0105
-8.3	8.3	22.2789	22.2789	22.2789
-8.4	8.4	22.5474	22.5474	22.5474
-8.5	8.5	22.8158	22.8158	22.8158
-8.6	8.6	23.0842	23.0842	23.0842
-8.7	8.7	23.3526	23.3526	23.3526
-8.8	8.8	23.6211	23.6211	23.6211
-8.9	8.9	23.8895	23.8895	23.8895
-9.0	9.0	24.1579	24.1579	24.1579
-9.1	9.1	24.4263	24.4263	24.4263
-9.2	9.2	24.6947	24.6947	24.6947
-9.3	9.3	24.9632	24.9632	24.9632
-9.4	9.4	25.2316	25.2316	25.2316
-9.5	9.5	25.5	25.5	25.5
-9.6	9.6	25.7684	25.7684	25.7684
-9.7	9.7	26.0368	26.0368	26.0368
-9.8	9.8	26.3053	26.3053	26.3053
-9.9	9.9	26.5737	26.5737	26.5737
-10.0	10.0	26.8421	26.8421	26.8421
-10.1	10.1	27.1105	27.1105	27.1105
-10.2	10.2	27.3789	27.3789	27.3789
-10.3	10.3	27.6474	27.6474	27.6474
-10.4	10.4	27.9158	27.9158	27.9158
-10.5	10.5	28.1842	28.1842	28.1842
-10.6	10.6	28.4526	28.4526	28.4526
-10.7	10.7	28.7211	28.7211	28.7211
-10.8	10.8	28.9895	28.9895	28.9895
-10.9	10.9	29.2579	29.2579	29.2579
-11.0	11.0	29.5263	29.5263	29.5263
-11.1	11.1	29.7947	29.7947	29.7947
-11.2	11.2	30.0632	30.0632	30.0632
-11.3	11.3	30.3316	30.3316	30.3316
-11.4	11.4	30.6	30.6	30.6
-11.5	11.5	30.8684	30.8684	30.8684
-11.6	11.6	31.1368	31.1368	31.1368
-11.7	11.7	31.4053	31.4053	31.4053
-11.8	11.8	31.6737	31.6737	31.6737
-11.9	11.9	31.9421	31.9421	31.9421
-12.0	12.0	32.2105	32.2105	32.2105
-12.1	12.1	32.4789	32.4789	32.4789
-12.2	12.2	32.7474	32.7474	32.7474
-12.3	12.3	33.0158	33.0158	33.0158
-12.4	12.4	33.2842	33.2842	33.2842
-12.5	12.5	33.5526	33.5526	33.5526
-12.6	12.6	33.8211	33.8211	33.8211
-12.7	12.7	34.0895	34.0895	34.0895
-12.8	12.8	34.3579	34.3579	34.3579
-12.9	12.9	34.6263	34.6263	34.6263
-13.0	13.0	34.8947	34.8947	34.8947
-13.1	13.1	35.1632	35.1632	35.1632
-13.2	13.2	35.4316	35.4316	35.4316
-13.3	13.3	35.7	35.7	35.7
-13.4	13.4	35.9684	35.9684	35.9684
-13.5	13.5	36.2368	36.2368	36.2368
-13.6	13.6	36.5053	36.5053	36.5053
-13.7	13.7	36.7737	36.7737	36.7737
-13.8	13.8	37.0421	37.0421	37.0421
-13.9	13.9	37.3105	37.3105	37.3105
-14.0	14.0	37.5789	37.5789	37.5789
-14.1	14.1	37.8474	37.8474	37.8474
-14.2	14.2	38.1158	38.1158	38.1158
-14.3	14.3	38.3842	38.3842	38.3842
-14.4	14.4	38.6526	38.6526	38.6526
-14.5	14.5	38.9211	38.9211	38.9211
-14.6	14.6	39.1895	39.1895	39.1895
-14.7	14.7	39.4579	39.4579	39.4579
-14.8	14.8	39.7263	39.7263	39.7263
-14.9	14.9	39.9947	39.9947	39.9947
-15.0	15.0	40.2632	40.2632	40.2632
-15.1	15.1	40.5316	40.5316	40.5316
-15.2	15.2	40.8	40.8	40.8
-15.3	15.3	41.0684	41.0684	41.0684
-15.4	15.4	41.3368	41.3368	41.3368
-15.5	15.5	41.6053	41.6053	41.6053
-15.6	15.6	41.8737	41.8737	41.8737
-15.7	15.7	42.1421	42.1421	42.1421
-15.8	15.8	42.4105	42.4105	42.4105
-15.9	15.9	42.6789	42.6789	42.6789
-16.0	16.0	42.9474	42.9474	42.9474
-16.1	16.1	43.2158	43.2158	43.2158
-16.2	16.2	43.4842	43.4842	43.4842
-16.3	16.3	43.7526	43.7526	43.7526
-16.4	16.4	44.0211	44.0211	44.0211
-16.5	16.5	44.2895	44.2895	44.2895
-16.6	16.6	44.5579	44.5579	44.5579
-16.7	16.7	44.8263	44.8263	44.8263
-16.8	16.8	45.0947	45.0947	45.0947
-16.9	16.9	45.3632	45.3632	45.3632
-17.0	17.0	45.6316	45.6316	45.6316
-17.1	17.1	45.9	45.9	45.9
-17.2	17.2	46.1684	46.1684	46.1684
-17.3	17.3	46.4368	46.4368	46.4368
-17.4	17.4	46.7053	46.7053	46.7053
-17.5	17.5	46.9737	46.9737	46.9737
-17.6	17.6	47.2421	47.2421	47.2421
-17.7	17.7	47.5105	47.5105	47.5105
-17.8	17.8	47.7789	47.7789	47.7789
-17.9	17.9	48.0474	48.0474	48.0474
-18.0	18.0	48.3158	48.3158	48.3158
-18.1	18.1	48.5842	48.5842	48.5842
-18.2	18.2	48.8526	48.8526	48.8526
-18.3	18.3	49.1211	49.1211	49.1211
-18.4	18.4	49.3895	49.3895	49.3895
-18.5	18.5	49.6579	49.6579	49.6579
-18.6	18.6	49.9263	49.9263	49.9263
-18.7	18.7	50.1947	50.1947	50.1947
-18.8	18.8	50.4632	50.4632	50.4632
-18.9	18.9	50.7316	50.7316	50.7316
-19.0	19.0	51	51	51
-19.1	19.1	51.2684	51.2684	51.2684
-19.2	19.2	51.5368	51.5368	51.5368
-19.3	19.3	51.8053	51.8053	51.8053
-19.4	19.4	52.0737	52.0737	52.0737
-19.5	19.5	52.3421	52.3421	52.3421
-19.6	19.6	52.6105	52.6105	52.6105
-19.7	19.7	52.8789	52.8789	52.8789
-19.8	19.8	53.1474	53.1474	53.1474
-19.9	19.9	53.4158	53.4158	53.4158
-20.0	20.0	53.6842	53.6842	53.6842
-20.1	20.1	53.9526	53.9526	53.9526
-20.2	20.2	54.2211	54.2211	54.2211
-20.3	20.3	54.4895	54.4895	54.4895
-20.4	20.4	54.7579	54.7579	54.7579
-20.5	20.5	55.0263	55.0263	55.0263
-20.6	20.6	55.2947	55.2947	55.2947
-20.7	20.7	55.5632	55.5632	55.5632
-20.8	20.8	55.8316	55.8316	55.8316
-20.9	20.9	56.1	56.1	56.1
-21.0	21.0	56.3684	56.3684	56.3684
-21.1	21.1	56.6368	56.6368	56.6368
-21.2	21.2	56.9053	56.9053	56.9053
-21.3	21.3	57.1737	57.1737	57.1737
-21.4	21.4	57.4421	57.4421	57.4421
-21.5	21.5	57.7105	57.7105	57.7105
-21.6	21.6	57.9789	57.9789	57.9789
-21.7	21.7	58.2474	58.2474	58.2474
-21.8	21.8	58.5158	58.5158	58.5158
-21.9	21.9	58.7842	58.7842	58.7842
-22.0	22.0	59.0526	59.0526	59.0526
-22.1	22.1	59.3211	59.3211	59.3211
-22.2	22.2	59.5895	59.5895	59.5895
-22.3	22.3	59.8579	59.8579	59.8579
-22.4	22.4	60.1263	60.1263	60.1263
-22.5	22.5	60.3947	60.3947	60.3947
-22.6	22.6	60.6632	60.6632	60.6632
-22.7	22.7	60.9316	60.9316	60.9316
-22.8	22.8	61.2	61.2	61.2
-22.9	22.9	61.4684	61.4684	61.4684
-23.0	23.0	61.7368	61.7368	61.7368
-23.1	23.1	62.0053	62.0053	62.0053
-23.2	23.2	62.2737	62.2737	62.2737
-23.3	23.3	62.5421	62.5421	62.5421
-23.4	23.4	62.8105	62.8105	62.8105
-23.5	23.5	63.0789	63.0789	63.0789
-23.6	23.6	63.3474	63.3474	63.3474
-23.7	23.7	63.6158	63.6158	63.6158
-23.8	23.8	63.8842	63.8842	63.8842
-23.9	23.9	64.1526	64.1526	64.1526
-24.0	24.0	64.4211	64.4211	64.4211
-24.1	24.1	64.6895	64.6895	64.6895
-24.2	24.2	64.9579	64.9579	64.9579
-24.3	24.3	65.2263	65.2263	65.2263
-24.4	24.4	65.4947	65.4947	65.4947
-24.5	24.5	65.7632	65.7632	65.7632
-24.6	24.6	66.0316	66.0316	66.0316
-24.7	24.7	66.3	66.3	66.3
-24.8	24.8	66.5684	66.5684	66.5684
-24.9	24.9	66.8368	66.8368	66.8368
-25.0	25.0	67.1053	67.1053	67.1053
-25.1	25.1	67.3737	67.3737	67.3737
-25.2	25.2	67.6421	67.6421	67.6421
-25.3	25.3	67.9105	67.9105	67.9105
-25.4	25.4	68.1789	68.1789	68.1789
-25.5	25.5	68.4474	68.4474	68.4474
-25.6	25.6	68.7158	68.7158	68.7158
-25.7	25.7	68.9842	68.9842	68.9842
-25.8	25.8	69.2526	69.2526	69.2526
-25.9	25.9	69.5211	69.5211	69.5211
-26.0	26.0	69.7895	69.7895	69.7895
-26.1	26.1	70.0579	70.0579	70.0579
-26.2	26.2	70.3263	70.3263	70.3263
-26.3	26.3	70.5947	70.5947	70.5947
-26.4	26.4	70.8632	70.8632	70.8632
-26.5	26.5	71.1316	71.1316	71.1316
-26.6	26.6	71.4	71.4	71.4
-26.7	26.7	71.6684	71.6684	71.6684
-26.8	26.8	71.9368	71.9368	71.9368
-26.9	26.9	72.2053	72.2053	72.2053
-27.0	27.0	72.4737	72.4737	72.4737
-27.1	27.1	72.7421	72.7421	72.7421
-27.2	27.2	73.0105	73.0105	73.0105
-27.3	27.3	73.2789	73.2789	73.2789
-27.4	27.4	73.5474	73.5474	73.5474
-27.5	27.5	73.8158	73.8158	73.8158
-27.6	27.6	74.0842	74.0842	74.0842
-27.7	27.7	74.3526	74.3526	74.3526
-27.8	27.8	74.6211	74.6211	74.6211
-27.9	27.9	74.8895	74.8895	74.8895
-28.0	28.0	75.1579	75.1579	75.1579
-28.1	28.1	75.4263	75.4263	75.4263
-28.2	28.2	75.6947	75.6947	75.6947
-28.3	28.3	75.9632	75.9632	75.9632
-28.4	28.4	76.2316	76.2316	76.2316
-28.5	28.5	76.5	76.5	76.5
-28.6	28.6	76.7684	76.7684	76.7684
-28.7	28.7	77.0368	77.0368	77.0368
-28.8	28.8	77.3053	77.3053	77.3053
-28.9	28.9	77.5737	77.5737	77.5737
-29.0	29.0	77.8421	77.8421	77.8421
-29.1	29.1	78.1105	78.1105	78.1105
-29.2	29.2	78.3789	78.3789	78.3789
-29.3	29.3	78.6474	78.6474	78.6474
-29.4	29.4	78.9158	78.9158	78.9158
-29.5	29.5	79.1842	79.1842	79.1842
-29.6	29.6	79.4526	79.4526	79.4526
-29.7	29.7	79.7211	79.7211	79.7211
-29.8	29.8	79.9895	79.9895	79.9895
-29.9	29.9	80.2579	80.2579	80.2579
-30.0	30.0	80.5263	80.5263	80.5263
-30.1	30.1	80.7947	80.7947	80.7947
-30.2	30.2	81.0632	81.0632	81.0632
-30.3	30.3	81.3316	81.3316	81.3316
-30.4	30.4	81.6	81.6	81.6
-30.5	30.5	81.8684	81.8684	81.8684
-30.6	30.6	82.1368	82.1368	82.1368
-30.7	30.7	82.4053	82.4053	82.4053
-30.8	30.8	82.6737	82.6737	82.6737
-30.9	30.9	82.9421	82.9421	82.9421
-31.0	31.0	83.2105	83.2105	83.2105
-31.1	31.1	83.4789	83.4789	83.4789
-31.2	31.2	83.7474	83.7474	83.7474
-31.3	31.3	84.0158	84.0158	84.0158
-31.4	31.4	84.2842	84.2842	84.2842
-31.5	31.5	84.5526	84.5526	84.5526
-31.6	31.6	84.8211	84.8211	84.8211
-31.7	31.7	85.0895	85.0895	85.0895
-31.8	31.8	85.3579	85.3579	85.3579
-31.9	31.9	85.6263	85.6263	85.6263
-32.0	32.0	85.8947	85.8947	85.8947
-32.1	32.1	86.1632	86.1632	86.1632
-32.2	32.2	86.4316	86.4316	86.4316
-32.3	32.3	86.7	86.7	86.7
-32.4	32.4	86.9684	86.9684	86.9684
-32.5	32.5	87.2368	87.2368	87.2368
-32.6	32.6	87.5053	87.5053	87.5053
-32.7	32.7	87.7737	87.7737	87.7737
-32.8	32.8	88.0421	88.0421	88.0421
-32.9	32.9	88.3105	88.3105	88.3105
-33.0	33.0	88.5789	88.5789	88.5789
-33.1	33.1	88.8474	88.8474	88.8474
-33.2	33.2	89.1158	89.1158	89.1158
-33.3	33.3	89.3842	89.3842	89.3842
-33.4	33.4	89.6526	89.6526	89.6526
-33.5	33.5	89.9211	89.9211	89.9211
-33.6	33.6	90.1895	90.1895	90.1895
-33.7	33.7	90.4579	90.4579	90.4579
-33.8	33.8	90.7263	90.7263	90.7263
-33.9	33.9	90.9947	90.9947	90.9947
-34.0	34.0	91.2632	91.2632	91.2632
-34.1	34.1	91.5316	91.5316	91.5316
-34.2	34.2	91.8	91.8	91.8
-34.3	34.3	92.0684	92.0684	92.0684
-34.4	34.4	92.3368	92.3368	92.3368
-34.5	34.5	92.6053	92.6053	92.6053
-34.6	34.6	92.8737	92.8737	92.8737
-34.7	34.7	93.1421	93.1421	93.1421
-34.8	34.8	93.4105	93.4105	93.4105
-34.9	34.9	93.6789	93.6789	93.6789
-35.0	35.0	93.9474	93.9474	93.9474
-35.1	35.1	94.2158	94.2158	94.2158
-35.2	35.2	94.4842	94.4842	94.4842
-35.3	35.3	94.7526	94.7526	94.7526
-35.4	35.4	95.0211	95.0211	95.0211
-35.5	35.5	95.2895	95.2895	95.2895
-35.6	35.6	95.5579	95.5579	95.5579
-35.7	35.7	95.8263	95.8263	95.8263
-35.8	35.8	96.0947	96.0947	96.0947
-35.9	35.9	96.3632	96.3632	96.3632
-36.0	36.0	96.6316	96.6316	96.6316
-36.1	36.1	96.9	96.9	96.9
-36.2	36.2	97.1684	97.1684	97.1684
-36.3	36.3	97.4368	97.4368	97.4368
-36.4	36.4	97.7053	97.7053	97.7053
-36.5	36.5	97.9737	97.9737	97.9737
-36.6	36.6	98.2421	98.2421	98.2421
-36.7	36.7	98.5105	98.5105	98.5105
-36.8	36.8	98.7789	98.7789	98.7789
-36.9	36.9	99.0474	99.0474	99.0474
-37.0	37.0	99.3158	99.3158	99.3158
-37.1	37.1	99.5842	99.5842	99.5842
-37.2	37.2	99.8526	99.8526	99.8526
-37.3	37.3	100	100	100
-37.4	37.4	100	100	100
-37.5	37.5	100	100	100
-37.6	37.6	100	100	100
-37.7	37.7	100	100	100
-37.8	37.8	100	100	100
-37.9	37.9	100	100	100
-38.0	38.0	100	100	100
-38.1	38.1	100	100	100
-38.2	38.2	100	100	100
-38.3	38.3	100	100	100
-38.4	38.4	100	100	100
-38.5	38.5	100	100	100
-38.6	38.6	100	100	100
-38.7	38.7	100	100	100
-38.8	38.8	100	100	100
-38.9	38.9	100	100	100
-39.0	39.0	100	100	100
-39.1	39.1	100	100	100
-39.2	39.2	100	100	100
-39.3	39.3	100	100	100
-39.4	39.4	100	100	100
-39.5	39.5	100	100	100
-39.6	39.6	100	100	100
-39.7	39.7	100	100	100
-39.8	39.8	100	100	100
-39.9	39.9	100	100	100
-40.0	40.0	100	100	100
-40.1	40.1	100	100	100
-40.2	40.2	100	100	100
-40.3	40.3	100	100	100
-40.4	40.4	100	100	100
-40.5	40.5	100	100	100
-40.6	40.6	100	100	100
-40.7	40.7	100	100	100
-40.8	40.8	100	100	100
-40.9	40.9	100	100	100
-41.0	41.0	100	100	100
-41.1	41.1	100	100	100
-41.2	41.2	100	100	100
-41.3	41.3	100	100	100
-41.4	41.4	100	100	100
-41.5	41.5	100	100	100
-41.6	41.6	100	100	100
-41.7	41.7	100	100	100
-41.8	41.8	100	100	100
-41.9	41.9	100	100	100
-42.0	42.0	100	100	100
-42.1	42.1	100	100	100
-42.2	42.2	100	100	100
-42.3	42.3	100	100	100
-42.4	42.4	100	100	100
-42.5	42.5	100	100	100
-42.6	42.6	100	100	100
-42.7	42.7	100	100	100
-42.8	42.8	100	100	100
-42.9	42.9	100	100	100
-43.0	43.0	100	100	100
-43.1	43.1	100	100	100
-43.2	43.2	100	100	100
-43.3	43.3	100	100	100
-43.4	43.4	100	100	100
-43.5	43.5	100	100	100
-43.6	43.6	100	100	100
-43.7	43.7	100	100	100
-43.8	43.8	100	100	100
-43.9	43.9	100	100	100
-44.0	44.0	100	100	100
-44.1	44.1	100	100	100
-44.2	44.2	100	100	100
-44.3	44.3	100	100	100
-44.4	44.4	100	100	100
-44.5	44.5	100	100	100
-44.6	44.6	100	100	100
-44.7	44.7	100	100	100
-44.8	44.8	100	100	100
-44.9	44.9	100	100	100
-45.0	45.0	100	100	100
-45.1	45.1	100	100	100
-45.2	45.2	100	100	100
-45.3	45.3	100	100	100
-45.4	45.4	100	100	100
-45.5	45.5	100	100	100
-45.6	45.6	100	100	100
-45.7	45.7	100	100	100
-45.8	45.8	100	100	100
-45.9	45.9	100	100	100
-46.0	46.0	100	100	100
-46.1	46.1	100	100	100
-46.2	46.2	100	100	100
-46.3	46.3	100	100	100
-46.4	46.4	100	100	100
-46.5	46.5	100	100	100
-46.6	46.6	100	100	100
-46.7	46.7	100	100	100
-46.8	46.8	100	100	100
-46.9	46.9	100	100	100
-47.0	47.0	100	100	100
-47.1	47.1	100	100	100
-47.2	47.2	100	100	100
-47.3	47.3	100	100	100
-47.4	47.4	100	100	100
-47.5	47.5	100	100	100
-47.6	47.6	100	100	100
-47.7	47.7	100	100	100
-47.8	47.8	100	100	100
-47.9	47.9	100	100	100
-48.0	48.0	100	100	100
-48.1	48.1	100	100	100
-48.2	48.2	100	100	100
-48.3	48.3	100	100	100
-48.4	48.4	100	100	100
-48.5	48.5	100	100	100
-48.6	48.6	100	100	100
-48.7	48.7	100	100	100
-48.8	48.8	100	100	100
-48.9	48.9	100	100	100
-49.0	49.0	100	100	100
-49.1	49.1	100	100	100
-49.2	49.2	100	100	100
-49.3	49.3	100	100	100
-49.4	49.4	100	100	100
-49.5	49.5	100	100	100
-49.6	49.6	100	100	100
-49.7	49.7	100	100	100
-49.8	49.8	100	100	100
-49.9	49.9	100	100	100
-50.0	50.0	100	100	100
-50.1	50.1	100	100	100
-50.2	50.2	100	100	100
-50.3	50.3	100	100	100
-50.4	50.4	100	100	100
-50.5	50.5	100	100	100
-50.6	50.6	100	100	100
-50.7	50.7	100	100	100
-50.8	50.8	100	100	100
-50.9	50.9	100	100	100
-51.0	51.0	100	100	100
-51.1	51.1	100	100	100
-51.2	51.2	100	100	100
-51.3	51.3	100	100	100
-51.4	51.4	100	100	100
-51.5	51.5	100	100	100
-51.6	51.6	100	100	100
-51.7	51.7	100	100	100
-51.8	51.8	100	100	100
-51.9	51.9	100	100	100
-52.0	52.0	100	100	100
-52.1	52.1	100	100	100
-52.2	52.2	100	100	100
-52.3	52.3	100	100	100
-52.4	52.4	100	100	100
-52.5	52.5	100	100	100
-52.6	52.6	100	100	100
-52.7	52.7	100	100	100
-52.8	52.8	100	100	100
-52.9	52.9	100	100	100
-53.0	53.0	100	100	100
-53.1	53.1	100	100	100
-53.2	53.2	100	100	100
-53.3	53.3	100	100	100
-53.4	53.4	100	100	100
-53.5	53.5	100	100	100
-53.6	53.6	100	100	100
-53.7	53.7	100	100	100
-53.8	53.8	100	100	100
-53.9	53.9	100	100	100
-54.0	54.0	100	100	100
-54.1	54.1	100	100	100
-54.2	54.2	100	100	100
-54.3	54.3	100	100	100
-54.4	54.4	100	100	100
-54.5	54.5	100	100	100
-54.6	54.6	100	100	100
-54.7	54.7	100	100	100
-54.8	54.8	100	100	100
-54.9	54.9	100	100	100
-55.0	55.0	100	100	100
-55.1	55.1	100	100	100
-55.2	55.2	100	100	100
-55.3	55.3	100	100	100
-55.4	55.4	100	100	100
-55.5	55.5	100	100	100
-55.6	55.6	100	100	100
-55.7	55.7	100	100	100
-55.8	55.8	100	100	100
-55.9	55.9	100	100	100
-56.0	56.0	100	100	100
-56.1	56.1	100	100	100
-56.2	56.2	100	100	100
-56.3	56.3	100	100	100
-56.4	56.4	100	100	100
-56.5	56.5	100	100	100
-56.6	56.6	100	100	100
-56.7	56.7	100	100	100
-56.8	56.8	100	100	100
-56.9	56.9	100	100	100
-57.0	57.0	100	100	100
-57.1	57.1	100	100	100
-57.2	57.2	100	100	100
-57.3	57.3	100	100	100
-57.4	57.4	100	100	100
-57.5	57.5	100	100	100
-57.6	57.6	100	100	100
-57.7	57.7	100	100	100
-57.8	57.8	100	100	100
-57.9	57.9	100	100	100
-58.0	58.0	100	100	100
-58.1	58.1	100	100	100
-58.2	58.2	100	100	100
-58.3	58.3	100	100	100
-58.4	58.4	100	100	100
-58.5	58.5	100	100	100
-58.6	58.6	100	100	100
-58.7	58.7	100	100	100
-58.8	58.8	100	100	100
-58.9	58.9	100	100	100
-59.0	59.0	100	100	100
-59.1	59.1	100	100	100
-59.2	59.2	100	100	100
-59.3	59.3	100	100	100
-59.4	59.4	100	100	100
-59.5	59.5	100	100	100
-59.6	59.6	100	100	100
-59.7	59.7	100	100	100
-59.8	59.8	100	100	100
-59.9	59.9	100	100	100
-60.0	60.0	100	100	100
-60.1	60.1	100	100	100
-60.2	60.2	100	100	100
-60.3	60.3	100	100	100
-60.4	60.4	100	100	100
-60.5	60.5	100	100	100
-60.6	60.6	100	100	100
-60.7	60.7	100	100	100
-60.8	60.8	100	100	100
-60.9	60.9	100	100	100
-61.0	61.0	100	100	100
-61.1	61.1	100	100	100
-61.2	61.2	100	100	100
-61.3	61.3	100	100	100
-61.4	61.4	100	100	100
-61.5	61.5	100	100	100
-61.6	61.6	100	100	100
-61.7	61.7	100	100	100
-61.8	61.8	100	100	100
-61.9	61.9	100	100	100
-62.0	62.0	100	100	100
-62.1	62.1	100	100	100
-62.2	62.2	100	100	100
-62.3	62.3	100	100	100
-62.4	62.4	100	100	100
-62.5	62.5	100	100	100
-62.6	62.6	100	100	100
-62.7	62.7	100	100	100
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-versicolor
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.392308	0.392308	0.294231
-0.2	0.2	0.784615	0.784615	0.588462
-0.3	0.3	1.17692	1.17692	0.882692
-0.4	0.4	1.56923	1.56923	1.17692
-0.5	0.5	1.96154	1.96154	1.47115
-0.6	0.6	2.35385	2.35385	1.76538
-0.7	0.7	2.74615	2.74615	2.05962
-0.8	0.8	3.13846	3.13846	2.35385
-0.9	0.9	3.53077	3.53077	2.64808
-1.0	1.0	3.92308	3.92308	2.94231
-1.1	1.1	4.31538	4.31538	3.23654
-1.2	1.2	4.70769	4.70769	3.53077
-1.3	1.3	5.1	5.1	3.825
-1.4	1.4	5.49231	5.49231	4.11923
-1.5	1.5	5.88462	5.88462	4.41346
-1.6	1.6	6.27692	6.27692	4.70769
-1.7	1.7	6.66923	6.66923	5.00192
-1.8	1.8	7.06154	7.06154	5.29615
-1.9	1.9	7.45385	7.45385	5.59038
-2.0	2.0	7.84615	7.84615	5.88462
-2.1	2.1	8.23846	8.23846	6.17885
-2.2	2.2	8.63077	8.63077	6.47308
-2.3	2.3	9.02308	9.02308	6.76731
-2.4	2.4	9.41538	9.41538	7.06154
-2.5	2.5	9.80769	9.80769	7.35577
-2.6	2.6	10.2	10.2	7.65
-2.7	2.7	10.5923	10.5923	7.94423
-2.8	2.8	10.9846	10.9846	8.23846
-2.9	2.9	11.3769	11.3769	8.53269
-3.0	3.0	11.7692	11.7692	8.82692
-3.1	3.1	12.1615	12.1615	9.12115
-3.2	3.2	12.5538	12.5538	9.41538
-3.3	3.3	12.9462	12.9462	9.70962
-3.4	3.4	13.3385	13.3385	10.0038
-3.5	3.5	13.7308	13.7308	10.2981
-3.6	3.6	14.1231	14.1231	10.5923
-3.7	3.7	14.5154	14.5154	10.8865
-3.8	3.8	14.9077	14.9077	11.1808
-3.9	3.9	15.3	15.3	11.475
-4.0	4.0	15.6923	15.6923	11.7692
-4.1	4.1	16.0846	16.0846	12.0635
-4.2	4.2	16.4769	16.4769	12.3577
-4.3	4.3	16.8692	16.8692	12.6519
-4.4	4.4	17.2615	17.2615	12.9462
-4.5	4.5	17.6538	17.6538	13.2404
-4.6	4.6	18.0462	18.0462	13.5346
-4.7	4.7	18.4385	18.4385	13.8288
-4.8	4.8	18.8308	18.8308	14.1231
-4.9	4.9	19.2231	19.2231	14.4173
-5.0	5.0	19.6154	19.6154	14.7115
-5.1	5.1	20.0077	20.0077	15.0058
-5.2	5.2	20.4	20.4	15.3
-5.3	5.3	20.7923	20.7923	15.5942
-5.4	5.4	21.1846	21.1846	15.8885
-5.5	5.5	21.5769	21.5769	16.1827
-5.6	5.6	21.9692	21.9692	16.4769
-5.7	5.7	22.3615	22.3615	16.7712
-5.8	5.8	22.7538	22.7538	17.0654
-5.9	5.9	23.1462	23.1462	17.3596
-6.0	6.0	23.5385	23.5385	17.6538
-6.1	6.1	23.9308	23.9308	17.9481
-6.2	6.2	24.3231	24.3231	18.2423
-6.3	6.3	24.7154	24.7154	18.5365
-6.4	6.4	25.1077	25.1077	18.8308
-6.5	6.5	25.5	25.5	19.125
-6.6	6.6	25.8923	25.8923	19.4192
-6.7	6.7	26.2846	26.2846	19.7135
-6.8	6.8	26.6769	26.6769	20.0077
-6.9	6.9	27.0692	27.0692	20.3019
-7.0	7.0	27.4615	27.4615	20.5962
-7.1	7.1	27.8538	27.8538	20.8904
-7.2	7.2	28.2462	28.2462	21.1846
-7.3	7.3	28.6385	28.6385	21.4788
-7.4	7.4	29.0308	29.0308	21.7731
-7.5	7.5	29.4231	29.4231	22.0673
-7.6	7.6	29.8154	29.8154	22.3615
-7.7	7.7	30.2077	30.2077	22.6558
-7.8	7.8	30.6	30.6	22.95
-7.9	7.9	30.9923	30.9923	23.2442
-8.0	8.0	31.3846	31.3846	23.5385
-8.1	8.1	31.7769	31.7769	23.8327
-8.2	8.2	32.1692	32.1692	24.1269
-8.3	8.3	32.5615	32.5615	24.4212
-8.4	8.4	32.9538	32.9538	24.7154
-8.5	8.5	33.3462	33.3462	25.0096
-8.6	8.6	33.7385	33.7385	25.3038
-8.7	8.7	34.1308	34.1308	25.5981
-8.8	8.8	34.5231	34.5231	25.8923
-8.9	8.9	34.9154	34.9154	26.1865
-9.0	9.0	35.3077	35.3077	26.4808
-9.1	9.1	35.7	35.7	26.775
-9.2	9.2	36.0923	36.0923	27.0692
-9.3	9.3	36.4846	36.4846	27.3635
-9.4	9.4	36.8769	36.8769	27.6577
-9.5	9.5	37.2692	37.2692	27.9519
-9.6	9.6	37.6615	37.6615	28.2462
-9.7	9.7	38.0538	38.0538	28.5404
-9.8	9.8	38.4462	38.4462	28.8346
-9.9	9.9	38.8385	38.8385	29.1288
-10.0	10.0	39.2308	39.2308	29.4231
-10.1	10.1	39.6231	39.6231	29.7173
-10.2	10.2	40.0154	40.0154	30.0115
-10.3	10.3	40.4077	40.4077	30.3058
-10.4	10.4	40.8	40.8	30.6
-10.5	10.5	41.1923	41.1923	30.8942
-10.6	10.6	41.5846	41.5846	31.1885
-10.7	10.7	41.9769	41.9769	31.4827
-10.8	10.8	42.3692	42.3692	31.7769
-10.9	10.9	42.7615	42.7615	32.0712
-11.0	11.0	43.1538	43.1538	32.3654
-11.1	11.1	43.5462	43.5462	32.6596
-11.2	11.2	43.9385	43.9385	32.9538
-11.3	11.3	44.3308	44.3308	33.2481
-11.4	11.4	44.7231	44.7231	33.5423
-11.5	11.5	45.1154	45.1154	33.8365
-11.6	11.6	45.5077	45.5077	34.1308
-11.7	11.7	45.9	45.9	34.425
-11.8	11.8	46.2923	46.2923	34.7192
-11.9	11.9	46.6846	46.6846	35.0135
-12.0	12.0	47.0769	47.0769	35.3077
-12.1	12.1	47.4692	47.4692	35.6019
-12.2	12.2	47.8615	47.8615	35.8962
-12.3	12.3	48.2538	48.2538	36.1904
-12.4	12.4	48.6462	48.6462	36.4846
-12.5	12.5	49.0385	49.0385	36.7788
-12.6	12.6	49.4308	49.4308	37.0731
-12.7	12.7	49.8231	49.8231	37.3673
-12.8	12.8	50.2154	50.2154	37.6615
-12.9	12.9	50.6077	50.6077	37.9558
-13.0	13.0	51	51	38.25
-13.1	13.1	51.3923	51.3923	38.5442
-13.2	13.2	51.7846	51.7846	38.8385
-13.3	13.3	52.1769	52.1769	39.1327
-13.4	13.4	52.5692	52.5692	39.4269
-13.5	13.5	52.9615	52.9615	39.7212
-13.6	13.6	53.3538	53.3538	40.0154
-13.7	13.7	53.7462	53.7462	40.3096
-13.8	13.8	54.1385	54.1385	40.6038
-13.9	13.9	54.5308	54.5308	40.8981
-14.0	14.0	54.9231	54.9231	41.1923
-14.1	14.1	55.3154	55.3154	41.4865
-14.2	14.2	55.7077	55.7077	41.7808
-14.3	14.3	56.1	56.1	42.075
-14.4	14.4	56.4923	56.4923	42.3692
-14.5	14.5	56.8846	56.8846	42.6635
-14.6	14.6	57.2769	57.2769	42.9577
-14.7	14.7	57.6692	57.6692	43.2519
-14.8	14.8	58.0615	58.0615	43.5462
-14.9	14.9	58.4538	58.4538	43.8404
-15.0	15.0	58.8462	58.8462	44.1346
-15.1	15.1	59.2385	59.2385	44.4288
-15.2	15.2	59.6308	59.6308	44.7231
-15.3	15.3	60.0231	60.0231	45.0173
-15.4	15.4	60.4154	60.4154	45.3115
-15.5	15.5	60.8077	60.8077	45.6058
-15.6	15.6	61.2	61.2	45.9
-15.7	15.7	61.5923	61.5923	46.1942
-15.8	15.8	61.9846	61.9846	46.4885
-15.9	15.9	62.3769	62.3769	46.7827
-16.0	16.0	62.7692	62.7692	47.0769
-16.1	16.1	63.1615	63.1615	47.3712
-16.2	16.2	63.5538	63.5538	47.6654
-16.3	16.3	63.9462	63.9462	47.9596
-16.4	16.4	64.3385	64.3385	48.2538
-16.5	16.5	64.7308	64.7308	48.5481
-16.6	16.6	65.1231	65.1231	48.8423
-16.7	16.7	65.5154	65.5154	49.1365
-16.8	16.8	65.9077	65.9077	49.4308
-16.9	16.9	66.3	66.3	49.725
-17.0	17.0	66.6923	66.6923	50.0192
-17.1	17.1	67.0846	67.0846	50.3135
-17.2	17.2	67.4769	67.4769	50.6077
-17.3	17.3	67.8692	67.8692	50.9019
-17.4	17.4	68.2615	68.2615	51.1962
-17.5	17.5	68.6538	68.6538	51.4904
-17.6	17.6	69.0462	69.0462	51.7846
-17.7	17.7	69.4385	69.4385	52.0788
-17.8	17.8	69.8308	69.8308	52.3731
-17.9	17.9	70.2231	70.2231	52.6673
-18.0	18.0	70.6154	70.6154	52.9615
-18.1	18.1	71.0077	71.0077	53.2558
-18.2	18.2	71.4	71.4	53.55
-18.3	18.3	71.7923	71.7923	53.8442
-18.4	18.4	72.1846	72.1846	54.1385
-18.5	18.5	72.5769	72.5769	54.4327
-18.6	18.6	72.9692	72.9692	54.7269
-18.7	18.7	73.3615	73.3615	55.0212
-18.8	18.8	73.7538	73.7538	55.3154
-18.9	18.9	74.1462	74.1462	55.6096
-19.0	19.0	74.5385	74.5385	55.9038
-19.1	19.1	74.9308	74.9308	56.1981
-19.2	19.2	75.3231	75.3231	56.4923
-19.3	19.3	75.7154	75.7154	56.7865
-19.4	19.4	76.1077	76.1077	57.0808
-19.5	19.5	76.5	76.5	57.375
-19.6	19.6	76.8923	76.8923	57.6692
-19.7	19.7	77.2846	77.2846	57.9635
-19.8	19.8	77.6769	77.6769	58.2577
-19.9	19.9	78.0692	78.0692	58.5519
-20.0	20.0	78.4615	78.4615	58.8462
-20.1	20.1	78.8538	78.8538	59.1404
-20.2	20.2	79.2462	79.2462	59.4346
-20.3	20.3	79.6385	79.6385	59.7288
-20.4	20.4	80.0308	80.0308	60.0231
-20.5	20.5	80.4231	80.4231	60.3173
-20.6	20.6	80.8154	80.8154	60.6115
-20.7	20.7	81.2077	81.2077	60.9058
-20.8	20.8	81.6	81.6	61.2
-20.9	20.9	81.9923	81.9923	61.4942
-21.0	21.0	82.3846	82.3846	61.7885
-21.1	21.1	82.7769	82.7769	62.0827
-21.2	21.2	83.1692	83.1692	62.3769
-21.3	21.3	83.5615	83.5615	62.6712
-21.4	21.4	83.9538	83.9538	62.9654
-21.5	21.5	84.3462	84.3462	63.2596
-21.6	21.6	84.7385	84.7385	63.5538
-21.7	21.7	85.1308	85.1308	63.8481
-21.8	21.8	85.5231	85.5231	64.1423
-21.9	21.9	85.9154	85.9154	64.4365
-22.0	22.0	86.3077	86.3077	64.7308
-22.1	22.1	86.7	86.7	65.025
-22.2	22.2	87.0923	87.0923	65.3192
-22.3	22.3	87.4846	87.4846	65.6135
-22.4	22.4	87.8769	87.8769	65.9077
-22.5	22.5	88.2692	88.2692	66.2019
-22.6	22.6	88.6615	88.6615	66.4962
-22.7	22.7	89.0538	89.0538	66.7904
-22.8	22.8	89.4462	89.4462	67.0846
-22.9	22.9	89.8385	89.8385	67.3788
-23.0	23.0	90.2308	90.2308	67.6731
-23.1	23.1	90.6231	90.6231	67.9673
-23.2	23.2	91.0154	91.0154	68.2615
-23.3	23.3	91.4077	91.4077	68.5558
-23.4	23.4	91.8	91.8	68.85
-23.5	23.5	92.1923	92.1923	69.1442
-23.6	23.6	92.5846	92.5846	69.4385
-23.7	23.7	92.9769	92.9769	69.7327
-23.8	23.8	93.3692	93.3692	70.0269
-23.9	23.9	93.7615	93.7615	70.3212
-24.0	24.0	94.1538	94.1538	70.6154
-24.1	24.1	94.5462	94.5462	70.9096
-24.2	24.2	94.9385	94.9385	71.2038
-24.3	24.3	95.3308	95.3308	71.4981
-24.4	24.4	95.7231	95.7231	71.7923
-24.5	24.5	96.1154	96.1154	72.0865
-24.6	24.6	96.5077	96.5077	72.3808
-24.7	24.7	96.9	96.9	72.675
-24.8	24.8	97.2923	97.2923	72.9692
-24.9	24.9	97.6846	97.6846	73.2635
-25.0	25.0	98.0769	98.0769	73.5577
-25.1	25.1	98.4692	98.4692	73.8519
-25.2	25.2	98.8615	98.8615	74.1462
-25.3	25.3	99.2538	99.2538	74.4404
-25.4	25.4	99.6462	99.6462	74.7346
-25.5	25.5	100	100	75.0288
-25.6	25.6	100	100	75.3231
-25.7	25.7	100	100	75.6173
-25.8	25.8	100	100	75.9115
-25.9	25.9	100	100	76.2058
-26.0	26.0	100	100	76.5
-26.1	26.1	100	100	76.7942
-26.2	26.2	100	100	77.0885
-26.3	26.3	100	100	77.3827
-26.4	26.4	100	100	77.6769
-26.5	26.5	100	100	77.9712
-26.6	26.6	100	100	78.2654
-26.7	26.7	100	100	78.5596
-26.8	26.8	100	100	78.8538
-26.9	26.9	100	100	79.1481
-27.0	27.0	100	100	79.4423
-27.1	27.1	100	100	79.7365
-27.2	27.2	100	100	80.0308
-27.3	27.3	100	100	80.325
-27.4	27.4	100	100	80.6192
-27.5	27.5	100	100	80.9135
-27.6	27.6	100	100	81.2077
-27.7	27.7	100	100	81.5019
-27.8	27.8	100	100	81.7962
-27.9	27.9	100	100	82.0904
-28.0	28.0	100	100	82.3846
-28.1	28.1	100	100	82.6788
-28.2	28.2	100	100	82.9731
-28.3	28.3	100	100	83.2673
-28.4	28.4	100	100	83.5615
-28.5	28.5	100	100	83.8558
-28.6	28.6	100	100	84.15
-28.7	28.7	100	100	84.4442
-28.8	28.8	100	100	84.7385
-28.9	28.9	100	100	85.0327
-29.0	29.0	100	100	85.3269
-29.1	29.1	100	100	85.6212
-29.2	29.2	100	100	85.9154
-29.3	29.3	100	100	86.2096
-29.4	29.4	100	100	86.5038
-29.5	29.5	100	100	86.7981
-29.6	29.6	100	100	87.0923
-29.7	29.7	100	100	87.3865
-29.8	29.8	100	100	87.6808
-29.9	29.9	100	100	87.975
-30.0	30.0	100	100	88.2692
-30.1	30.1	100	100	88.5635
-30.2	30.2	100	100	88.8577
-30.3	30.3	100	100	89.1519
-30.4	30.4	100	100	89.4462
-30.5	30.5	100	100	89.7404
-30.6	30.6	100	100	90.0346
-30.7	30.7	100	100	90.3288
-30.8	30.8	100	100	90.6231
-30.9	30.9	100	100	90.9173
-31.0	31.0	100	100	91.2115
-31.1	31.1	100	100	91.5058
-31.2	31.2	100	100	91.8
-31.3	31.3	100	100	92.0942
-31.4	31.4	100	100	92.3144
-31.5	31.5	100	100	92.3389
-31.6	31.6	100	100	92.3635
-31.7	31.7	100	100	92.388
-31.8	31.8	100	100	92.4125
-31.9	31.9	100	100	92.437
-32.0	32.0	100	100	92.4615
-32.1	32.1	100	100	92.4861
-32.2	32.2	100	100	92.5106
-32.3	32.3	100	100	92.5351
-32.4	32.4	100	100	92.5596
-32.5	32.5	100	100	92.5841
-32.6	32.6	100	100	92.6087
-32.7	32.7	100	100	92.6332
-32.8	32.8	100	100	92.6577
-32.9	32.9	100	100	92.6822
-33.0	33.0	100	100	92.7067
-33.1	33.1	100	100	92.7313
-33.2	33.2	100	100	92.7558
-33.3	33.3	100	100	92.7803
-33.4	33.4	100	100	92.8048
-33.5	33.5	100	100	92.8293
-33.6	33.6	100	100	92.8538
-33.7	33.7	100	100	92.8784
-33.8	33.8	100	100	92.9029
-33.9	33.9	100	100	92.9274
-34.0	34.0	100	100	92.9519
-34.1	34.1	100	100	92.9764
-34.2	34.2	100	100	93.001
-34.3	34.3	100	100	93.0255
-34.4	34.4	100	100	93.05
-34.5	34.5	100	100	93.0745
-34.6	34.6	100	100	93.099
-34.7	34.7	100	100	93.1236
-34.8	34.8	100	100	93.1481
-34.9	34.9	100	100	93.1726
-35.0	35.0	100	100	93.1971
-35.1	35.1	100	100	93.2216
-35.2	35.2	100	100	93.2462
-35.3	35.3	100	100	93.2707
-35.4	35.4	100	100	93.2952
-35.5	35.5	100	100	93.3197
-35.6	35.6	100	100	93.3442
-35.7	35.7	100	100	93.3688
-35.8	35.8	100	100	93.3933
-35.9	35.9	100	100	93.4178
-36.0	36.0	100	100	93.4423
-36.1	36.1	100	100	93.4668
-36.2	36.2	100	100	93.4913
-36.3	36.3	100	100	93.5159
-36.4	36.4	100	100	93.5404
-36.5	36.5	100	100	93.5649
-36.6	36.6	100	100	93.5894
-36.7	36.7	100	100	93.6139
-36.8	36.8	100	100	93.6385
-36.9	36.9	100	100	93.663
-37.0	37.0	100	100	93.6875
-37.1	37.1	100	100	93.712
-37.2	37.2	100	100	93.7365
-37.3	37.3	100	100	93.7611
-37.4	37.4	100	100	93.7856
-37.5	37.5	100	100	93.8101
-37.6	37.6	100	100	93.8346
-37.7	37.7	100	100	93.8591
-37.8	37.8	100	100	93.8837
-37.9	37.9	100	100	93.9082
-38.0	38.0	100	100	93.9327
-38.1	38.1	100	100	93.9572
-38.2	38.2	100	100	93.9817
-38.3	38.3	100	100	94.0063
-38.4	38.4	100	100	94.0308
-38.5	38.5	100	100	94.0553
-38.6	38.6	100	100	94.0798
-38.7	38.7	100	100	94.1043
-38.8	38.8	100	100	94.1288
-38.9	38.9	100	100	94.1534
-39.0	39.0	100	100	94.1779
-39.1	39.1	100	100	94.2024
-39.2	39.2	100	100	94.2269
-39.3	39.3	100	100	94.2514
-39.4	39.4	100	100	94.276
-39.5	39.5	100	100	94.3005
-39.6	39.6	100	100	94.325
-39.7	39.7	100	100	94.3495
-39.8	39.8	100	100	94.374
-39.9	39.9	100	100	94.3986
-40.0	40.0	100	100	94.4231
-40.1	40.1	100	100	94.4476
-40.2	40.2	100	100	94.4721
-40.3	40.3	100	100	94.4966
-40.4	40.4	100	100	94.5212
-40.5	40.5	100	100	94.5457
-40.6	40.6	100	100	94.5702
-40.7	40.7	100	100	94.5947
-40.8	40.8	100	100	94.6192
-40.9	40.9	100	100	94.6438
-41.0	41.0	100	100	94.6683
-41.1	41.1	100	100	94.6928
-41.2	41.2	100	100	94.7173
-41.3	41.3	100	100	94.7418
-41.4	41.4	100	100	94.7663
-41.5	41.5	100	100	94.7909
-41.6	41.6	100	100	94.8154
-41.7	41.7	100	100	94.8399
-41.8	41.8	100	100	94.8644
-41.9	41.9	100	100	94.8889
-42.0	42.0	100	100	94.9135
-42.1	42.1	100	100	94.938
-42.2	42.2	100	100	94.9625
-42.3	42.3	100	100	94.987
-42.4	42.4	100	100	95.0115
-42.5	42.5	100	100	95.0361
-42.6	42.6	100	100	95.0606
-42.7	42.7	100	100	95.0851
-42.8	42.8	100	100	95.1096
-42.9	42.9	100	100	95.1341
-43.0	43.0	100	100	95.1587
-43.1	43.1	100	100	95.1832
-43.2	43.2	100	100	95.2077
-43.3	43.3	100	100	95.2322
-43.4	43.4	100	100	95.2567
-43.5	43.5	100	100	95.2812
-43.6	43.6	100	100	95.3058
-43.7	43.7	100	100	95.3303
-43.8	43.8	100	100	95.3548
-43.9	43.9	100	100	95.3793
-44.0	44.0	100	100	95.4038
-44.1	44.1	100	100	95.4284
-44.2	44.2	100	100	95.4529
-44.3	44.3	100	100	95.4774
-44.4	44.4	100	100	95.5019
-44.5	44.5	100	100	95.5264
-44.6	44.6	100	100	95.551
-44.7	44.7	100	100	95.5755
-44.8	44.8	100	100	95.6
-44.9	44.9	100	100	95.6245
-45.0	45.0	100	100	95.649
-45.1	45.1	100	100	95.6736
-45.2	45.2	100	100	95.6981
-45.3	45.3	100	100	95.7226
-45.4	45.4	100	100	95.7471
-45.5	45.5	100	100	95.7716
-45.6	45.6	100	100	95.7962
-45.7	45.7	100	100	95.8207
-45.8	45.8	100	100	95.8452
-45.9	45.9	100	100	95.8697
-46.0	46.0	100	100	95.8942
-46.1	46.1	100	100	95.9188
-46.2	46.2	100	100	95.9433
-46.3	46.3	100	100	95.9678
-46.4	46.4	100	100	95.9923
-46.5	46.5	100	100	96.0168
-46.6	46.6	100	100	96.0413
-46.7	46.7	100	100	96.0659
-46.8	46.8	100	100	96.0904
-46.9	46.9	100	100	96.1149
-47.0	47.0	100	100	96.1394
-47.1	47.1	100	100	96.1639
-47.2	47.2	100	100	96.1885
-47.3	47.3	100	100	96.213
-47.4	47.4	100	100	96.2375
-47.5	47.5	100	100	96.262
-47.6	47.6	100	100	96.2865
-47.7	47.7	100	100	96.3111
-47.8	47.8	100	100	96.3356
-47.9	47.9	100	100	96.3601
-48.0	48.0	100	100	96.3846
-48.1	48.1	100	100	96.4091
-48.2	48.2	100	100	96.4337
-48.3	48.3	100	100	96.4582
-48.4	48.4	100	100	96.4827
-48.5	48.5	100	100	96.5072
-48.6	48.6	100	100	96.5317
-48.7	48.7	100	100	96.5563
-48.8	48.8	100	100	96.5808
-48.9	48.9	100	100	96.6053
-49.0	49.0	100	100	96.6298
-49.1	49.1	100	100	96.6543
-49.2	49.2	100	100	96.6788
-49.3	49.3	100	100	96.7034
-49.4	49.4	100	100	96.7279
-49.5	49.5	100	100	96.7524
-49.6	49.6	100	100	96.7769
-49.7	49.7	100	100	96.8014
-49.8	49.8	100	100	96.826
-49.9	49.9	100	100	96.8505
-50.0	50.0	100	100	96.875
-50.1	50.1	100	100	96.8995
-50.2	50.2	100	100	96.924
-50.3	50.3	100	100	96.9486
-50.4	50.4	100	100	96.9731
-50.5	50.5	100	100	96.9976
-50.6	50.6	100	100	97.0221
-50.7	50.7	100	100	97.0466
-50.8	50.8	100	100	97.0712
-50.9	50.9	100	100	97.0957
-51.0	51.0	100	100	97.1202
-51.1	51.1	100	100	97.1447
-51.2	51.2	100	100	97.1692
-51.3	51.3	100	100	97.1937
-51.4	51.4	100	100	97.2183
-51.5	51.5	100	100	97.2428
-51.6	51.6	100	100	97.2673
-51.7	51.7	100	100	97.2918
-51.8	51.8	100	100	97.3163
-51.9	51.9	100	100	97.3409
-52.0	52.0	100	100	97.3654
-52.1	52.1	100	100	97.3899
-52.2	52.2	100	100	97.4144
-52.3	52.3	100	100	97.4389
-52.4	52.4	100	100	97.4635
-52.5	52.5	100	100	97.488
-52.6	52.6	100	100	97.5125
-52.7	52.7	100	100	97.537
-52.8	52.8	100	100	97.5615
-52.9	52.9	100	100	97.5861
-53.0	53.0	100	100	97.6106
-53.1	53.1	100	100	97.6351
-53.2	53.2	100	100	97.6596
-53.3	53.3	100	100	97.6841
-53.4	53.4	100	100	97.7087
-53.5	53.5	100	100	97.7332
-53.6	53.6	100	100	97.7577
-53.7	53.7	100	100	97.7822
-53.8	53.8	100	100	97.8067
-53.9	53.9	100	100	97.8312
-54.0	54.0	100	100	97.8558
-54.1	54.1	100	100	97.8803
-54.2	54.2	100	100	97.9048
-54.3	54.3	100	100	97.9293
-54.4	54.4	100	100	97.9538
-54.5	54.5	100	100	97.9784
-54.6	54.6	100	100	98.0029
-54.7	54.7	100	100	98.0274
-54.8	54.8	100	100	98.0519
-54.9	54.9	100	100	98.0764
-55.0	55.0	100	100	98.101
-55.1	55.1	100	100	98.1255
-55.2	55.2	100	100	98.15
-55.3	55.3	100	100	98.1745
-55.4	55.4	100	100	98.199
-55.5	55.5	100	100	98.2236
-55.6	55.6	100	100	98.2481
-55.7	55.7	100	100	98.2726
-55.8	55.8	100	100	98.2971
-55.9	55.9	100	100	98.3216
-56.0	56.0	100	100	98.3462
-56.1	56.1	100	100	98.3707
-56.2	56.2	100	100	98.3952
-56.3	56.3	100	100	98.4197
-56.4	56.4	100	100	98.4442
-56.5	56.5	100	100	98.4688
-56.6	56.6	100	100	98.4933
-56.7	56.7	100	100	98.5178
-56.8	56.8	100	100	98.5423
-56.9	56.9	100	100	98.5668
-57.0	57.0	100	100	98.5913
-57.1	57.1	100	100	98.6159
-57.2	57.2	100	100	98.6404
-57.3	57.3	100	100	98.6649
-57.4	57.4	100	100	98.6894
-57.5	57.5	100	100	98.7139
-57.6	57.6	100	100	98.7385
-57.7	57.7	100	100	98.763
-57.8	57.8	100	100	98.7875
-57.9	57.9	100	100	98.812
-58.0	58.0	100	100	98.8365
-58.1	58.1	100	100	98.8611
-58.2	58.2	100	100	98.8856
-58.3	58.3	100	100	98.9101
-58.4	58.4	100	100	98.9346
-58.5	58.5	100	100	98.9591
-58.6	58.6	100	100	98.9837
-58.7	58.7	100	100	99.0082
-58.8	58.8	100	100	99.0327
-58.9	58.9	100	100	99.0572
-59.0	59.0	100	100	99.0817
-59.1	59.1	100	100	99.1062
-59.2	59.2	100	100	99.1308
-59.3	59.3	100	100	99.1553
-59.4	59.4	100	100	99.1798
-59.5	59.5	100	100	99.2043
-59.6	59.6	100	100	99.2288
-59.7	59.7	100	100	99.2534
-59.8	59.8	100	100	99.2779
-59.9	59.9	100	100	99.3024
-60.0	60.0	100	100	99.3269
-60.1	60.1	100	100	99.3514
-60.2	60.2	100	100	99.376
-60.3	60.3	100	100	99.4005
-60.4	60.4	100	100	99.425
-60.5	60.5	100	100	99.4495
-60.6	60.6	100	100	99.474
-60.7	60.7	100	100	99.4986
-60.8	60.8	100	100	99.5231
-60.9	60.9	100	100	99.5476
-61.0	61.0	100	100	99.5721
-61.1	61.1	100	100	99.5966
-61.2	61.2	100	100	99.6212
-61.3	61.3	100	100	99.6457
-61.4	61.4	100	100	99.6702
-61.5	61.5	100	100	99.6947
-61.6	61.6	100	100	99.7192
-61.7	61.7	100	100	99.7437
-61.8	61.8	100	100	99.7683
-61.9	61.9	100	100	99.7928
-62.0	62.0	100	100	99.8173
-62.1	62.1	100	100	99.8418
-62.2	62.2	100	100	99.8663
-62.3	62.3	100	100	99.8909
-62.4	62.4	100	100	99.9154
-62.5	62.5	100	100	99.9399
-62.6	62.6	100	100	99.9644
-62.7	62.7	100	100	99.9889
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
-
-Lift curves	Iris-virginica
-Size	Random	Optimal	Selective Naive Bayes	Univariate SPetalLength
-0.0	0.0	0	0	0
-0.1	0.1	0.268421	0.268421	0.251645
-0.2	0.2	0.536842	0.536842	0.503289
-0.3	0.3	0.805263	0.805263	0.754934
-0.4	0.4	1.07368	1.07368	1.00658
-0.5	0.5	1.34211	1.34211	1.25822
-0.6	0.6	1.61053	1.61053	1.50987
-0.7	0.7	1.87895	1.87895	1.76151
-0.8	0.8	2.14737	2.14737	2.01316
-0.9	0.9	2.41579	2.41579	2.2648
-1.0	1.0	2.68421	2.68421	2.51645
-1.1	1.1	2.95263	2.95263	2.76809
-1.2	1.2	3.22105	3.22105	3.01974
-1.3	1.3	3.48947	3.48947	3.27138
-1.4	1.4	3.75789	3.75789	3.52303
-1.5	1.5	4.02632	4.02632	3.77467
-1.6	1.6	4.29474	4.29474	4.02632
-1.7	1.7	4.56316	4.56316	4.27796
-1.8	1.8	4.83158	4.83158	4.52961
-1.9	1.9	5.1	5.1	4.78125
-2.0	2.0	5.36842	5.36842	5.03289
-2.1	2.1	5.63684	5.63684	5.28454
-2.2	2.2	5.90526	5.90526	5.53618
-2.3	2.3	6.17368	6.17368	5.78783
-2.4	2.4	6.44211	6.44211	6.03947
-2.5	2.5	6.71053	6.71053	6.29112
-2.6	2.6	6.97895	6.97895	6.54276
-2.7	2.7	7.24737	7.24737	6.79441
-2.8	2.8	7.51579	7.51579	7.04605
-2.9	2.9	7.78421	7.78421	7.2977
-3.0	3.0	8.05263	8.05263	7.54934
-3.1	3.1	8.32105	8.32105	7.80099
-3.2	3.2	8.58947	8.58947	8.05263
-3.3	3.3	8.85789	8.85789	8.30428
-3.4	3.4	9.12632	9.12632	8.55592
-3.5	3.5	9.39474	9.39474	8.80757
-3.6	3.6	9.66316	9.66316	9.05921
-3.7	3.7	9.93158	9.93158	9.31086
-3.8	3.8	10.2	10.2	9.5625
-3.9	3.9	10.4684	10.4684	9.81414
-4.0	4.0	10.7368	10.7368	10.0658
-4.1	4.1	11.0053	11.0053	10.3174
-4.2	4.2	11.2737	11.2737	10.5691
-4.3	4.3	11.5421	11.5421	10.8207
-4.4	4.4	11.8105	11.8105	11.0724
-4.5	4.5	12.0789	12.0789	11.324
-4.6	4.6	12.3474	12.3474	11.5757
-4.7	4.7	12.6158	12.6158	11.8273
-4.8	4.8	12.8842	12.8842	12.0789
-4.9	4.9	13.1526	13.1526	12.3306
-5.0	5.0	13.4211	13.4211	12.5822
-5.1	5.1	13.6895	13.6895	12.8339
-5.2	5.2	13.9579	13.9579	13.0855
-5.3	5.3	14.2263	14.2263	13.3372
-5.4	5.4	14.4947	14.4947	13.5888
-5.5	5.5	14.7632	14.7632	13.8405
-5.6	5.6	15.0316	15.0316	14.0921
-5.7	5.7	15.3	15.3	14.3438
-5.8	5.8	15.5684	15.5684	14.5954
-5.9	5.9	15.8368	15.8368	14.847
-6.0	6.0	16.1053	16.1053	15.0987
-6.1	6.1	16.3737	16.3737	15.3503
-6.2	6.2	16.6421	16.6421	15.602
-6.3	6.3	16.9105	16.9105	15.8536
-6.4	6.4	17.1789	17.1789	16.1053
-6.5	6.5	17.4474	17.4474	16.3569
-6.6	6.6	17.7158	17.7158	16.6086
-6.7	6.7	17.9842	17.9842	16.8602
-6.8	6.8	18.2526	18.2526	17.1118
-6.9	6.9	18.5211	18.5211	17.3635
-7.0	7.0	18.7895	18.7895	17.6151
-7.1	7.1	19.0579	19.0579	17.8668
-7.2	7.2	19.3263	19.3263	18.1184
-7.3	7.3	19.5947	19.5947	18.3701
-7.4	7.4	19.8632	19.8632	18.6217
-7.5	7.5	20.1316	20.1316	18.8734
-7.6	7.6	20.4	20.4	19.125
-7.7	7.7	20.6684	20.6684	19.3766
-7.8	7.8	20.9368	20.9368	19.6283
-7.9	7.9	21.2053	21.2053	19.8799
-8.0	8.0	21.4737	21.4737	20.1316
-8.1	8.1	21.7421	21.7421	20.3832
-8.2	8.2	22.0105	22.0105	20.6349
-8.3	8.3	22.2789	22.2789	20.8865
-8.4	8.4	22.5474	22.5474	21.1382
-8.5	8.5	22.8158	22.8158	21.3898
-8.6	8.6	23.0842	23.0842	21.6414
-8.7	8.7	23.3526	23.3526	21.8931
-8.8	8.8	23.6211	23.6211	22.1447
-8.9	8.9	23.8895	23.8895	22.3964
-9.0	9.0	24.1579	24.1579	22.648
-9.1	9.1	24.4263	24.4263	22.8997
-9.2	9.2	24.6947	24.6947	23.1513
-9.3	9.3	24.9632	24.9632	23.403
-9.4	9.4	25.2316	25.2316	23.6546
-9.5	9.5	25.5	25.5	23.9062
-9.6	9.6	25.7684	25.7684	24.1579
-9.7	9.7	26.0368	26.0368	24.4095
-9.8	9.8	26.3053	26.3053	24.6612
-9.9	9.9	26.5737	26.5737	24.9128
-10.0	10.0	26.8421	26.8421	25.1645
-10.1	10.1	27.1105	27.1105	25.4161
-10.2	10.2	27.3789	27.3789	25.6678
-10.3	10.3	27.6474	27.6474	25.9194
-10.4	10.4	27.9158	27.9158	26.1711
-10.5	10.5	28.1842	28.1842	26.4227
-10.6	10.6	28.4526	28.4526	26.6743
-10.7	10.7	28.7211	28.7211	26.926
-10.8	10.8	28.9895	28.9895	27.1776
-10.9	10.9	29.2579	29.2579	27.4293
-11.0	11.0	29.5263	29.5263	27.6809
-11.1	11.1	29.7947	29.7947	27.9326
-11.2	11.2	30.0632	30.0632	28.1842
-11.3	11.3	30.3316	30.3316	28.4359
-11.4	11.4	30.6	30.6	28.6875
-11.5	11.5	30.8684	30.8684	28.9391
-11.6	11.6	31.1368	31.1368	29.1908
-11.7	11.7	31.4053	31.4053	29.4424
-11.8	11.8	31.6737	31.6737	29.6941
-11.9	11.9	31.9421	31.9421	29.9457
-12.0	12.0	32.2105	32.2105	30.1974
-12.1	12.1	32.4789	32.4789	30.449
-12.2	12.2	32.7474	32.7474	30.7007
-12.3	12.3	33.0158	33.0158	30.9523
-12.4	12.4	33.2842	33.2842	31.2039
-12.5	12.5	33.5526	33.5526	31.4556
-12.6	12.6	33.8211	33.8211	31.7072
-12.7	12.7	34.0895	34.0895	31.9589
-12.8	12.8	34.3579	34.3579	32.2105
-12.9	12.9	34.6263	34.6263	32.4622
-13.0	13.0	34.8947	34.8947	32.7138
-13.1	13.1	35.1632	35.1632	32.9655
-13.2	13.2	35.4316	35.4316	33.2171
-13.3	13.3	35.7	35.7	33.4688
-13.4	13.4	35.9684	35.9684	33.7204
-13.5	13.5	36.2368	36.2368	33.972
-13.6	13.6	36.5053	36.5053	34.2237
-13.7	13.7	36.7737	36.7737	34.4753
-13.8	13.8	37.0421	37.0421	34.727
-13.9	13.9	37.3105	37.3105	34.9786
-14.0	14.0	37.5789	37.5789	35.2303
-14.1	14.1	37.8474	37.8474	35.4819
-14.2	14.2	38.1158	38.1158	35.7336
-14.3	14.3	38.3842	38.3842	35.9852
-14.4	14.4	38.6526	38.6526	36.2368
-14.5	14.5	38.9211	38.9211	36.4885
-14.6	14.6	39.1895	39.1895	36.7401
-14.7	14.7	39.4579	39.4579	36.9918
-14.8	14.8	39.7263	39.7263	37.2434
-14.9	14.9	39.9947	39.9947	37.4951
-15.0	15.0	40.2632	40.2632	37.7467
-15.1	15.1	40.5316	40.5316	37.9984
-15.2	15.2	40.8	40.8	38.25
-15.3	15.3	41.0684	41.0684	38.5016
-15.4	15.4	41.3368	41.3368	38.7533
-15.5	15.5	41.6053	41.6053	39.0049
-15.6	15.6	41.8737	41.8737	39.2566
-15.7	15.7	42.1421	42.1421	39.5082
-15.8	15.8	42.4105	42.4105	39.7599
-15.9	15.9	42.6789	42.6789	40.0115
-16.0	16.0	42.9474	42.9474	40.2632
-16.1	16.1	43.2158	43.2158	40.5148
-16.2	16.2	43.4842	43.4842	40.7664
-16.3	16.3	43.7526	43.7526	41.0181
-16.4	16.4	44.0211	44.0211	41.2697
-16.5	16.5	44.2895	44.2895	41.5214
-16.6	16.6	44.5579	44.5579	41.773
-16.7	16.7	44.8263	44.8263	42.0247
-16.8	16.8	45.0947	45.0947	42.2763
-16.9	16.9	45.3632	45.3632	42.528
-17.0	17.0	45.6316	45.6316	42.7796
-17.1	17.1	45.9	45.9	43.0312
-17.2	17.2	46.1684	46.1684	43.2829
-17.3	17.3	46.4368	46.4368	43.5345
-17.4	17.4	46.7053	46.7053	43.7862
-17.5	17.5	46.9737	46.9737	44.0378
-17.6	17.6	47.2421	47.2421	44.2895
-17.7	17.7	47.5105	47.5105	44.5411
-17.8	17.8	47.7789	47.7789	44.7928
-17.9	17.9	48.0474	48.0474	45.0444
-18.0	18.0	48.3158	48.3158	45.2961
-18.1	18.1	48.5842	48.5842	45.5477
-18.2	18.2	48.8526	48.8526	45.7993
-18.3	18.3	49.1211	49.1211	46.051
-18.4	18.4	49.3895	49.3895	46.3026
-18.5	18.5	49.6579	49.6579	46.5543
-18.6	18.6	49.9263	49.9263	46.8059
-18.7	18.7	50.1947	50.1947	47.0576
-18.8	18.8	50.4632	50.4632	47.3092
-18.9	18.9	50.7316	50.7316	47.5609
-19.0	19.0	51	51	47.8125
-19.1	19.1	51.2684	51.2684	48.0641
-19.2	19.2	51.5368	51.5368	48.3158
-19.3	19.3	51.8053	51.8053	48.5674
-19.4	19.4	52.0737	52.0737	48.8191
-19.5	19.5	52.3421	52.3421	49.0707
-19.6	19.6	52.6105	52.6105	49.3224
-19.7	19.7	52.8789	52.8789	49.574
-19.8	19.8	53.1474	53.1474	49.8257
-19.9	19.9	53.4158	53.4158	50.0773
-20.0	20.0	53.6842	53.6842	50.3289
-20.1	20.1	53.9526	53.9526	50.5806
-20.2	20.2	54.2211	54.2211	50.8322
-20.3	20.3	54.4895	54.4895	51.0839
-20.4	20.4	54.7579	54.7579	51.3355
-20.5	20.5	55.0263	55.0263	51.5872
-20.6	20.6	55.2947	55.2947	51.8388
-20.7	20.7	55.5632	55.5632	52.0905
-20.8	20.8	55.8316	55.8316	52.3421
-20.9	20.9	56.1	56.1	52.5937
-21.0	21.0	56.3684	56.3684	52.8454
-21.1	21.1	56.6368	56.6368	53.097
-21.2	21.2	56.9053	56.9053	53.3487
-21.3	21.3	57.1737	57.1737	53.6003
-21.4	21.4	57.4421	57.4421	53.852
-21.5	21.5	57.7105	57.7105	54.1036
-21.6	21.6	57.9789	57.9789	54.3553
-21.7	21.7	58.2474	58.2474	54.6069
-21.8	21.8	58.5158	58.5158	54.8586
-21.9	21.9	58.7842	58.7842	55.1102
-22.0	22.0	59.0526	59.0526	55.3618
-22.1	22.1	59.3211	59.3211	55.6135
-22.2	22.2	59.5895	59.5895	55.8651
-22.3	22.3	59.8579	59.8579	56.1168
-22.4	22.4	60.1263	60.1263	56.3684
-22.5	22.5	60.3947	60.3947	56.6201
-22.6	22.6	60.6632	60.6632	56.8717
-22.7	22.7	60.9316	60.9316	57.1234
-22.8	22.8	61.2	61.2	57.375
-22.9	22.9	61.4684	61.4684	57.6266
-23.0	23.0	61.7368	61.7368	57.8783
-23.1	23.1	62.0053	62.0053	58.1299
-23.2	23.2	62.2737	62.2737	58.3816
-23.3	23.3	62.5421	62.5421	58.6332
-23.4	23.4	62.8105	62.8105	58.8849
-23.5	23.5	63.0789	63.0789	59.1365
-23.6	23.6	63.3474	63.3474	59.3882
-23.7	23.7	63.6158	63.6158	59.6398
-23.8	23.8	63.8842	63.8842	59.8914
-23.9	23.9	64.1526	64.1526	60.1431
-24.0	24.0	64.4211	64.4211	60.3947
-24.1	24.1	64.6895	64.6895	60.6464
-24.2	24.2	64.9579	64.9579	60.898
-24.3	24.3	65.2263	65.2263	61.1497
-24.4	24.4	65.4947	65.4947	61.4013
-24.5	24.5	65.7632	65.7632	61.653
-24.6	24.6	66.0316	66.0316	61.9046
-24.7	24.7	66.3	66.3	62.1562
-24.8	24.8	66.5684	66.5684	62.4079
-24.9	24.9	66.8368	66.8368	62.6595
-25.0	25.0	67.1053	67.1053	62.9112
-25.1	25.1	67.3737	67.3737	63.1628
-25.2	25.2	67.6421	67.6421	63.4145
-25.3	25.3	67.9105	67.9105	63.6661
-25.4	25.4	68.1789	68.1789	63.9178
-25.5	25.5	68.4474	68.4474	64.1694
-25.6	25.6	68.7158	68.7158	64.4211
-25.7	25.7	68.9842	68.9842	64.6727
-25.8	25.8	69.2526	69.2526	64.9243
-25.9	25.9	69.5211	69.5211	65.176
-26.0	26.0	69.7895	69.7895	65.4276
-26.1	26.1	70.0579	70.0579	65.6793
-26.2	26.2	70.3263	70.3263	65.9309
-26.3	26.3	70.5947	70.5947	66.1826
-26.4	26.4	70.8632	70.8632	66.4342
-26.5	26.5	71.1316	71.1316	66.6859
-26.6	26.6	71.4	71.4	66.9375
-26.7	26.7	71.6684	71.6684	67.1891
-26.8	26.8	71.9368	71.9368	67.4408
-26.9	26.9	72.2053	72.2053	67.6924
-27.0	27.0	72.4737	72.4737	67.9441
-27.1	27.1	72.7421	72.7421	68.1957
-27.2	27.2	73.0105	73.0105	68.4474
-27.3	27.3	73.2789	73.2789	68.699
-27.4	27.4	73.5474	73.5474	68.9507
-27.5	27.5	73.8158	73.8158	69.2023
-27.6	27.6	74.0842	74.0842	69.4539
-27.7	27.7	74.3526	74.3526	69.7056
-27.8	27.8	74.6211	74.6211	69.9572
-27.9	27.9	74.8895	74.8895	70.2089
-28.0	28.0	75.1579	75.1579	70.4605
-28.1	28.1	75.4263	75.4263	70.7122
-28.2	28.2	75.6947	75.6947	70.9638
-28.3	28.3	75.9632	75.9632	71.2155
-28.4	28.4	76.2316	76.2316	71.4671
-28.5	28.5	76.5	76.5	71.7188
-28.6	28.6	76.7684	76.7684	71.9704
-28.7	28.7	77.0368	77.0368	72.222
-28.8	28.8	77.3053	77.3053	72.4737
-28.9	28.9	77.5737	77.5737	72.7253
-29.0	29.0	77.8421	77.8421	72.977
-29.1	29.1	78.1105	78.1105	73.2286
-29.2	29.2	78.3789	78.3789	73.4803
-29.3	29.3	78.6474	78.6474	73.7319
-29.4	29.4	78.9158	78.9158	73.9836
-29.5	29.5	79.1842	79.1842	74.2352
-29.6	29.6	79.4526	79.4526	74.4868
-29.7	29.7	79.7211	79.7211	74.7385
-29.8	29.8	79.9895	79.9895	74.9901
-29.9	29.9	80.2579	80.2579	75.2418
-30.0	30.0	80.5263	80.5263	75.4934
-30.1	30.1	80.7947	80.7947	75.7451
-30.2	30.2	81.0632	81.0632	75.9967
-30.3	30.3	81.3316	81.3316	76.2484
-30.4	30.4	81.6	81.6	76.5
-30.5	30.5	81.8684	81.8684	76.7516
-30.6	30.6	82.1368	82.1368	77.0033
-30.7	30.7	82.4053	82.4053	77.2549
-30.8	30.8	82.6737	82.6737	77.5066
-30.9	30.9	82.9421	82.9421	77.7582
-31.0	31.0	83.2105	83.2105	78.0099
-31.1	31.1	83.4789	83.4789	78.2615
-31.2	31.2	83.7474	83.7474	78.5132
-31.3	31.3	84.0158	84.0158	78.7648
-31.4	31.4	84.2842	84.2842	78.9658
-31.5	31.5	84.5526	84.5526	79.0329
-31.6	31.6	84.8211	84.8211	79.1
-31.7	31.7	85.0895	85.0895	79.1671
-31.8	31.8	85.3579	85.3579	79.2342
-31.9	31.9	85.6263	85.6263	79.3013
-32.0	32.0	85.8947	85.8947	79.3684
-32.1	32.1	86.1632	86.1632	79.4355
-32.2	32.2	86.4316	86.4316	79.5026
-32.3	32.3	86.7	86.7	79.5697
-32.4	32.4	86.9684	86.9684	79.6368
-32.5	32.5	87.2368	87.2368	79.7039
-32.6	32.6	87.5053	87.5053	79.7711
-32.7	32.7	87.7737	87.7737	79.8382
-32.8	32.8	88.0421	88.0421	79.9053
-32.9	32.9	88.3105	88.3105	79.9724
-33.0	33.0	88.5789	88.5789	80.0395
-33.1	33.1	88.8474	88.8474	80.1066
-33.2	33.2	89.1158	89.1158	80.1737
-33.3	33.3	89.3842	89.3842	80.2408
-33.4	33.4	89.6526	89.6526	80.3079
-33.5	33.5	89.9211	89.9211	80.375
-33.6	33.6	90.1895	90.1895	80.4421
-33.7	33.7	90.4579	90.4579	80.5092
-33.8	33.8	90.7263	90.7263	80.5763
-33.9	33.9	90.9947	90.9947	80.6434
-34.0	34.0	91.2632	91.2632	80.7105
-34.1	34.1	91.5316	91.5316	80.7776
-34.2	34.2	91.8	91.8	80.8447
-34.3	34.3	92.0684	92.0684	80.9118
-34.4	34.4	92.3368	92.3368	80.9789
-34.5	34.5	92.6053	92.6053	81.0461
-34.6	34.6	92.8737	92.8737	81.1132
-34.7	34.7	93.1421	93.1421	81.1803
-34.8	34.8	93.4105	93.4105	81.2474
-34.9	34.9	93.6789	93.6789	81.3145
-35.0	35.0	93.9474	93.9474	81.3816
-35.1	35.1	94.2158	94.2158	81.4487
-35.2	35.2	94.4842	94.4842	81.5158
-35.3	35.3	94.7526	94.7526	81.5829
-35.4	35.4	95.0211	95.0211	81.65
-35.5	35.5	95.2895	95.2895	81.7171
-35.6	35.6	95.5579	95.5579	81.7842
-35.7	35.7	95.8263	95.8263	81.8513
-35.8	35.8	96.0947	96.0947	81.9184
-35.9	35.9	96.3632	96.3632	81.9855
-36.0	36.0	96.6316	96.6316	82.0526
-36.1	36.1	96.9	96.9	82.1197
-36.2	36.2	97.1684	97.1684	82.1868
-36.3	36.3	97.4368	97.4368	82.2539
-36.4	36.4	97.7053	97.7053	82.3211
-36.5	36.5	97.9737	97.9737	82.3882
-36.6	36.6	98.2421	98.2421	82.4553
-36.7	36.7	98.5105	98.5105	82.5224
-36.8	36.8	98.7789	98.7789	82.5895
-36.9	36.9	99.0474	99.0474	82.6566
-37.0	37.0	99.3158	99.3158	82.7237
-37.1	37.1	99.5842	99.5842	82.7908
-37.2	37.2	99.8526	99.8526	82.8579
-37.3	37.3	100	100	82.925
-37.4	37.4	100	100	82.9921
-37.5	37.5	100	100	83.0592
-37.6	37.6	100	100	83.1263
-37.7	37.7	100	100	83.1934
-37.8	37.8	100	100	83.2605
-37.9	37.9	100	100	83.3276
-38.0	38.0	100	100	83.3947
-38.1	38.1	100	100	83.4618
-38.2	38.2	100	100	83.5289
-38.3	38.3	100	100	83.5961
-38.4	38.4	100	100	83.6632
-38.5	38.5	100	100	83.7303
-38.6	38.6	100	100	83.7974
-38.7	38.7	100	100	83.8645
-38.8	38.8	100	100	83.9316
-38.9	38.9	100	100	83.9987
-39.0	39.0	100	100	84.0658
-39.1	39.1	100	100	84.1329
-39.2	39.2	100	100	84.2
-39.3	39.3	100	100	84.2671
-39.4	39.4	100	100	84.3342
-39.5	39.5	100	100	84.4013
-39.6	39.6	100	100	84.4684
-39.7	39.7	100	100	84.5355
-39.8	39.8	100	100	84.6026
-39.9	39.9	100	100	84.6697
-40.0	40.0	100	100	84.7368
-40.1	40.1	100	100	84.8039
-40.2	40.2	100	100	84.8711
-40.3	40.3	100	100	84.9382
-40.4	40.4	100	100	85.0053
-40.5	40.5	100	100	85.0724
-40.6	40.6	100	100	85.1395
-40.7	40.7	100	100	85.2066
-40.8	40.8	100	100	85.2737
-40.9	40.9	100	100	85.3408
-41.0	41.0	100	100	85.4079
-41.1	41.1	100	100	85.475
-41.2	41.2	100	100	85.5421
-41.3	41.3	100	100	85.6092
-41.4	41.4	100	100	85.6763
-41.5	41.5	100	100	85.7434
-41.6	41.6	100	100	85.8105
-41.7	41.7	100	100	85.8776
-41.8	41.8	100	100	85.9447
-41.9	41.9	100	100	86.0118
-42.0	42.0	100	100	86.0789
-42.1	42.1	100	100	86.1461
-42.2	42.2	100	100	86.2132
-42.3	42.3	100	100	86.2803
-42.4	42.4	100	100	86.3474
-42.5	42.5	100	100	86.4145
-42.6	42.6	100	100	86.4816
-42.7	42.7	100	100	86.5487
-42.8	42.8	100	100	86.6158
-42.9	42.9	100	100	86.6829
-43.0	43.0	100	100	86.75
-43.1	43.1	100	100	86.8171
-43.2	43.2	100	100	86.8842
-43.3	43.3	100	100	86.9513
-43.4	43.4	100	100	87.0184
-43.5	43.5	100	100	87.0855
-43.6	43.6	100	100	87.1526
-43.7	43.7	100	100	87.2197
-43.8	43.8	100	100	87.2868
-43.9	43.9	100	100	87.3539
-44.0	44.0	100	100	87.4211
-44.1	44.1	100	100	87.4882
-44.2	44.2	100	100	87.5553
-44.3	44.3	100	100	87.6224
-44.4	44.4	100	100	87.6895
-44.5	44.5	100	100	87.7566
-44.6	44.6	100	100	87.8237
-44.7	44.7	100	100	87.8908
-44.8	44.8	100	100	87.9579
-44.9	44.9	100	100	88.025
-45.0	45.0	100	100	88.0921
-45.1	45.1	100	100	88.1592
-45.2	45.2	100	100	88.2263
-45.3	45.3	100	100	88.2934
-45.4	45.4	100	100	88.3605
-45.5	45.5	100	100	88.4276
-45.6	45.6	100	100	88.4947
-45.7	45.7	100	100	88.5618
-45.8	45.8	100	100	88.6289
-45.9	45.9	100	100	88.6961
-46.0	46.0	100	100	88.7632
-46.1	46.1	100	100	88.8303
-46.2	46.2	100	100	88.8974
-46.3	46.3	100	100	88.9645
-46.4	46.4	100	100	89.0316
-46.5	46.5	100	100	89.0987
-46.6	46.6	100	100	89.1658
-46.7	46.7	100	100	89.2329
-46.8	46.8	100	100	89.3
-46.9	46.9	100	100	89.3671
-47.0	47.0	100	100	89.4342
-47.1	47.1	100	100	89.5013
-47.2	47.2	100	100	89.5684
-47.3	47.3	100	100	89.6355
-47.4	47.4	100	100	89.7026
-47.5	47.5	100	100	89.7697
-47.6	47.6	100	100	89.8368
-47.7	47.7	100	100	89.9039
-47.8	47.8	100	100	89.9711
-47.9	47.9	100	100	90.0382
-48.0	48.0	100	100	90.1053
-48.1	48.1	100	100	90.1724
-48.2	48.2	100	100	90.2395
-48.3	48.3	100	100	90.3066
-48.4	48.4	100	100	90.3737
-48.5	48.5	100	100	90.4408
-48.6	48.6	100	100	90.5079
-48.7	48.7	100	100	90.575
-48.8	48.8	100	100	90.6421
-48.9	48.9	100	100	90.7092
-49.0	49.0	100	100	90.7763
-49.1	49.1	100	100	90.8434
-49.2	49.2	100	100	90.9105
-49.3	49.3	100	100	90.9776
-49.4	49.4	100	100	91.0447
-49.5	49.5	100	100	91.1118
-49.6	49.6	100	100	91.1789
-49.7	49.7	100	100	91.2461
-49.8	49.8	100	100	91.3132
-49.9	49.9	100	100	91.3803
-50.0	50.0	100	100	91.4474
-50.1	50.1	100	100	91.5145
-50.2	50.2	100	100	91.5816
-50.3	50.3	100	100	91.6487
-50.4	50.4	100	100	91.7158
-50.5	50.5	100	100	91.7829
-50.6	50.6	100	100	91.85
-50.7	50.7	100	100	91.9171
-50.8	50.8	100	100	91.9842
-50.9	50.9	100	100	92.0513
-51.0	51.0	100	100	92.1184
-51.1	51.1	100	100	92.1855
-51.2	51.2	100	100	92.2526
-51.3	51.3	100	100	92.3197
-51.4	51.4	100	100	92.3868
-51.5	51.5	100	100	92.4539
-51.6	51.6	100	100	92.5211
-51.7	51.7	100	100	92.5882
-51.8	51.8	100	100	92.6553
-51.9	51.9	100	100	92.7224
-52.0	52.0	100	100	92.7895
-52.1	52.1	100	100	92.8566
-52.2	52.2	100	100	92.9237
-52.3	52.3	100	100	92.9908
-52.4	52.4	100	100	93.0579
-52.5	52.5	100	100	93.125
-52.6	52.6	100	100	93.1921
-52.7	52.7	100	100	93.2592
-52.8	52.8	100	100	93.3263
-52.9	52.9	100	100	93.3934
-53.0	53.0	100	100	93.4605
-53.1	53.1	100	100	93.5276
-53.2	53.2	100	100	93.5947
-53.3	53.3	100	100	93.6618
-53.4	53.4	100	100	93.7289
-53.5	53.5	100	100	93.7961
-53.6	53.6	100	100	93.8632
-53.7	53.7	100	100	93.9303
-53.8	53.8	100	100	93.9974
-53.9	53.9	100	100	94.0645
-54.0	54.0	100	100	94.1316
-54.1	54.1	100	100	94.1987
-54.2	54.2	100	100	94.2658
-54.3	54.3	100	100	94.3329
-54.4	54.4	100	100	94.4
-54.5	54.5	100	100	94.4671
-54.6	54.6	100	100	94.5342
-54.7	54.7	100	100	94.6013
-54.8	54.8	100	100	94.6684
-54.9	54.9	100	100	94.7355
-55.0	55.0	100	100	94.8026
-55.1	55.1	100	100	94.8697
-55.2	55.2	100	100	94.9368
-55.3	55.3	100	100	95.0039
-55.4	55.4	100	100	95.0711
-55.5	55.5	100	100	95.1382
-55.6	55.6	100	100	95.2053
-55.7	55.7	100	100	95.2724
-55.8	55.8	100	100	95.3395
-55.9	55.9	100	100	95.4066
-56.0	56.0	100	100	95.4737
-56.1	56.1	100	100	95.5408
-56.2	56.2	100	100	95.6079
-56.3	56.3	100	100	95.675
-56.4	56.4	100	100	95.7421
-56.5	56.5	100	100	95.8092
-56.6	56.6	100	100	95.8763
-56.7	56.7	100	100	95.9434
-56.8	56.8	100	100	96.0105
-56.9	56.9	100	100	96.0776
-57.0	57.0	100	100	96.1447
-57.1	57.1	100	100	96.2118
-57.2	57.2	100	100	96.2789
-57.3	57.3	100	100	96.3461
-57.4	57.4	100	100	96.4132
-57.5	57.5	100	100	96.4803
-57.6	57.6	100	100	96.5474
-57.7	57.7	100	100	96.6145
-57.8	57.8	100	100	96.6816
-57.9	57.9	100	100	96.7487
-58.0	58.0	100	100	96.8158
-58.1	58.1	100	100	96.8829
-58.2	58.2	100	100	96.95
-58.3	58.3	100	100	97.0171
-58.4	58.4	100	100	97.0842
-58.5	58.5	100	100	97.1513
-58.6	58.6	100	100	97.2184
-58.7	58.7	100	100	97.2855
-58.8	58.8	100	100	97.3526
-58.9	58.9	100	100	97.4197
-59.0	59.0	100	100	97.4868
-59.1	59.1	100	100	97.5539
-59.2	59.2	100	100	97.6211
-59.3	59.3	100	100	97.6882
-59.4	59.4	100	100	97.7553
-59.5	59.5	100	100	97.8224
-59.6	59.6	100	100	97.8895
-59.7	59.7	100	100	97.9566
-59.8	59.8	100	100	98.0237
-59.9	59.9	100	100	98.0908
-60.0	60.0	100	100	98.1579
-60.1	60.1	100	100	98.225
-60.2	60.2	100	100	98.2921
-60.3	60.3	100	100	98.3592
-60.4	60.4	100	100	98.4263
-60.5	60.5	100	100	98.4934
-60.6	60.6	100	100	98.5605
-60.7	60.7	100	100	98.6276
-60.8	60.8	100	100	98.6947
-60.9	60.9	100	100	98.7618
-61.0	61.0	100	100	98.8289
-61.1	61.1	100	100	98.8961
-61.2	61.2	100	100	98.9632
-61.3	61.3	100	100	99.0303
-61.4	61.4	100	100	99.0974
-61.5	61.5	100	100	99.1645
-61.6	61.6	100	100	99.2316
-61.7	61.7	100	100	99.2987
-61.8	61.8	100	100	99.3658
-61.9	61.9	100	100	99.4329
-62.0	62.0	100	100	99.5
-62.1	62.1	100	100	99.5671
-62.2	62.2	100	100	99.6342
-62.3	62.3	100	100	99.7013
-62.4	62.4	100	100	99.7684
-62.5	62.5	100	100	99.8355
-62.6	62.6	100	100	99.9026
-62.7	62.7	100	100	99.9697
-62.8	62.8	100	100	100
-62.9	62.9	100	100	100
-63.0	63.0	100	100	100
-63.1	63.1	100	100	100
-63.2	63.2	100	100	100
-63.3	63.3	100	100	100
-63.4	63.4	100	100	100
-63.5	63.5	100	100	100
-63.6	63.6	100	100	100
-63.7	63.7	100	100	100
-63.8	63.8	100	100	100
-63.9	63.9	100	100	100
-64.0	64.0	100	100	100
-64.1	64.1	100	100	100
-64.2	64.2	100	100	100
-64.3	64.3	100	100	100
-64.4	64.4	100	100	100
-64.5	64.5	100	100	100
-64.6	64.6	100	100	100
-64.7	64.7	100	100	100
-64.8	64.8	100	100	100
-64.9	64.9	100	100	100
-65.0	65.0	100	100	100
-65.1	65.1	100	100	100
-65.2	65.2	100	100	100
-65.3	65.3	100	100	100
-65.4	65.4	100	100	100
-65.5	65.5	100	100	100
-65.6	65.6	100	100	100
-65.7	65.7	100	100	100
-65.8	65.8	100	100	100
-65.9	65.9	100	100	100
-66.0	66.0	100	100	100
-66.1	66.1	100	100	100
-66.2	66.2	100	100	100
-66.3	66.3	100	100	100
-66.4	66.4	100	100	100
-66.5	66.5	100	100	100
-66.6	66.6	100	100	100
-66.7	66.7	100	100	100
-66.8	66.8	100	100	100
-66.9	66.9	100	100	100
-67.0	67.0	100	100	100
-67.1	67.1	100	100	100
-67.2	67.2	100	100	100
-67.3	67.3	100	100	100
-67.4	67.4	100	100	100
-67.5	67.5	100	100	100
-67.6	67.6	100	100	100
-67.7	67.7	100	100	100
-67.8	67.8	100	100	100
-67.9	67.9	100	100	100
-68.0	68.0	100	100	100
-68.1	68.1	100	100	100
-68.2	68.2	100	100	100
-68.3	68.3	100	100	100
-68.4	68.4	100	100	100
-68.5	68.5	100	100	100
-68.6	68.6	100	100	100
-68.7	68.7	100	100	100
-68.8	68.8	100	100	100
-68.9	68.9	100	100	100
-69.0	69.0	100	100	100
-69.1	69.1	100	100	100
-69.2	69.2	100	100	100
-69.3	69.3	100	100	100
-69.4	69.4	100	100	100
-69.5	69.5	100	100	100
-69.6	69.6	100	100	100
-69.7	69.7	100	100	100
-69.8	69.8	100	100	100
-69.9	69.9	100	100	100
-70.0	70.0	100	100	100
-70.1	70.1	100	100	100
-70.2	70.2	100	100	100
-70.3	70.3	100	100	100
-70.4	70.4	100	100	100
-70.5	70.5	100	100	100
-70.6	70.6	100	100	100
-70.7	70.7	100	100	100
-70.8	70.8	100	100	100
-70.9	70.9	100	100	100
-71.0	71.0	100	100	100
-71.1	71.1	100	100	100
-71.2	71.2	100	100	100
-71.3	71.3	100	100	100
-71.4	71.4	100	100	100
-71.5	71.5	100	100	100
-71.6	71.6	100	100	100
-71.7	71.7	100	100	100
-71.8	71.8	100	100	100
-71.9	71.9	100	100	100
-72.0	72.0	100	100	100
-72.1	72.1	100	100	100
-72.2	72.2	100	100	100
-72.3	72.3	100	100	100
-72.4	72.4	100	100	100
-72.5	72.5	100	100	100
-72.6	72.6	100	100	100
-72.7	72.7	100	100	100
-72.8	72.8	100	100	100
-72.9	72.9	100	100	100
-73.0	73.0	100	100	100
-73.1	73.1	100	100	100
-73.2	73.2	100	100	100
-73.3	73.3	100	100	100
-73.4	73.4	100	100	100
-73.5	73.5	100	100	100
-73.6	73.6	100	100	100
-73.7	73.7	100	100	100
-73.8	73.8	100	100	100
-73.9	73.9	100	100	100
-74.0	74.0	100	100	100
-74.1	74.1	100	100	100
-74.2	74.2	100	100	100
-74.3	74.3	100	100	100
-74.4	74.4	100	100	100
-74.5	74.5	100	100	100
-74.6	74.6	100	100	100
-74.7	74.7	100	100	100
-74.8	74.8	100	100	100
-74.9	74.9	100	100	100
-75.0	75.0	100	100	100
-75.1	75.1	100	100	100
-75.2	75.2	100	100	100
-75.3	75.3	100	100	100
-75.4	75.4	100	100	100
-75.5	75.5	100	100	100
-75.6	75.6	100	100	100
-75.7	75.7	100	100	100
-75.8	75.8	100	100	100
-75.9	75.9	100	100	100
-76.0	76.0	100	100	100
-76.1	76.1	100	100	100
-76.2	76.2	100	100	100
-76.3	76.3	100	100	100
-76.4	76.4	100	100	100
-76.5	76.5	100	100	100
-76.6	76.6	100	100	100
-76.7	76.7	100	100	100
-76.8	76.8	100	100	100
-76.9	76.9	100	100	100
-77.0	77.0	100	100	100
-77.1	77.1	100	100	100
-77.2	77.2	100	100	100
-77.3	77.3	100	100	100
-77.4	77.4	100	100	100
-77.5	77.5	100	100	100
-77.6	77.6	100	100	100
-77.7	77.7	100	100	100
-77.8	77.8	100	100	100
-77.9	77.9	100	100	100
-78.0	78.0	100	100	100
-78.1	78.1	100	100	100
-78.2	78.2	100	100	100
-78.3	78.3	100	100	100
-78.4	78.4	100	100	100
-78.5	78.5	100	100	100
-78.6	78.6	100	100	100
-78.7	78.7	100	100	100
-78.8	78.8	100	100	100
-78.9	78.9	100	100	100
-79.0	79.0	100	100	100
-79.1	79.1	100	100	100
-79.2	79.2	100	100	100
-79.3	79.3	100	100	100
-79.4	79.4	100	100	100
-79.5	79.5	100	100	100
-79.6	79.6	100	100	100
-79.7	79.7	100	100	100
-79.8	79.8	100	100	100
-79.9	79.9	100	100	100
-80.0	80.0	100	100	100
-80.1	80.1	100	100	100
-80.2	80.2	100	100	100
-80.3	80.3	100	100	100
-80.4	80.4	100	100	100
-80.5	80.5	100	100	100
-80.6	80.6	100	100	100
-80.7	80.7	100	100	100
-80.8	80.8	100	100	100
-80.9	80.9	100	100	100
-81.0	81.0	100	100	100
-81.1	81.1	100	100	100
-81.2	81.2	100	100	100
-81.3	81.3	100	100	100
-81.4	81.4	100	100	100
-81.5	81.5	100	100	100
-81.6	81.6	100	100	100
-81.7	81.7	100	100	100
-81.8	81.8	100	100	100
-81.9	81.9	100	100	100
-82.0	82.0	100	100	100
-82.1	82.1	100	100	100
-82.2	82.2	100	100	100
-82.3	82.3	100	100	100
-82.4	82.4	100	100	100
-82.5	82.5	100	100	100
-82.6	82.6	100	100	100
-82.7	82.7	100	100	100
-82.8	82.8	100	100	100
-82.9	82.9	100	100	100
-83.0	83.0	100	100	100
-83.1	83.1	100	100	100
-83.2	83.2	100	100	100
-83.3	83.3	100	100	100
-83.4	83.4	100	100	100
-83.5	83.5	100	100	100
-83.6	83.6	100	100	100
-83.7	83.7	100	100	100
-83.8	83.8	100	100	100
-83.9	83.9	100	100	100
-84.0	84.0	100	100	100
-84.1	84.1	100	100	100
-84.2	84.2	100	100	100
-84.3	84.3	100	100	100
-84.4	84.4	100	100	100
-84.5	84.5	100	100	100
-84.6	84.6	100	100	100
-84.7	84.7	100	100	100
-84.8	84.8	100	100	100
-84.9	84.9	100	100	100
-85.0	85.0	100	100	100
-85.1	85.1	100	100	100
-85.2	85.2	100	100	100
-85.3	85.3	100	100	100
-85.4	85.4	100	100	100
-85.5	85.5	100	100	100
-85.6	85.6	100	100	100
-85.7	85.7	100	100	100
-85.8	85.8	100	100	100
-85.9	85.9	100	100	100
-86.0	86.0	100	100	100
-86.1	86.1	100	100	100
-86.2	86.2	100	100	100
-86.3	86.3	100	100	100
-86.4	86.4	100	100	100
-86.5	86.5	100	100	100
-86.6	86.6	100	100	100
-86.7	86.7	100	100	100
-86.8	86.8	100	100	100
-86.9	86.9	100	100	100
-87.0	87.0	100	100	100
-87.1	87.1	100	100	100
-87.2	87.2	100	100	100
-87.3	87.3	100	100	100
-87.4	87.4	100	100	100
-87.5	87.5	100	100	100
-87.6	87.6	100	100	100
-87.7	87.7	100	100	100
-87.8	87.8	100	100	100
-87.9	87.9	100	100	100
-88.0	88.0	100	100	100
-88.1	88.1	100	100	100
-88.2	88.2	100	100	100
-88.3	88.3	100	100	100
-88.4	88.4	100	100	100
-88.5	88.5	100	100	100
-88.6	88.6	100	100	100
-88.7	88.7	100	100	100
-88.8	88.8	100	100	100
-88.9	88.9	100	100	100
-89.0	89.0	100	100	100
-89.1	89.1	100	100	100
-89.2	89.2	100	100	100
-89.3	89.3	100	100	100
-89.4	89.4	100	100	100
-89.5	89.5	100	100	100
-89.6	89.6	100	100	100
-89.7	89.7	100	100	100
-89.8	89.8	100	100	100
-89.9	89.9	100	100	100
-90.0	90.0	100	100	100
-90.1	90.1	100	100	100
-90.2	90.2	100	100	100
-90.3	90.3	100	100	100
-90.4	90.4	100	100	100
-90.5	90.5	100	100	100
-90.6	90.6	100	100	100
-90.7	90.7	100	100	100
-90.8	90.8	100	100	100
-90.9	90.9	100	100	100
-91.0	91.0	100	100	100
-91.1	91.1	100	100	100
-91.2	91.2	100	100	100
-91.3	91.3	100	100	100
-91.4	91.4	100	100	100
-91.5	91.5	100	100	100
-91.6	91.6	100	100	100
-91.7	91.7	100	100	100
-91.8	91.8	100	100	100
-91.9	91.9	100	100	100
-92.0	92.0	100	100	100
-92.1	92.1	100	100	100
-92.2	92.2	100	100	100
-92.3	92.3	100	100	100
-92.4	92.4	100	100	100
-92.5	92.5	100	100	100
-92.6	92.6	100	100	100
-92.7	92.7	100	100	100
-92.8	92.8	100	100	100
-92.9	92.9	100	100	100
-93.0	93.0	100	100	100
-93.1	93.1	100	100	100
-93.2	93.2	100	100	100
-93.3	93.3	100	100	100
-93.4	93.4	100	100	100
-93.5	93.5	100	100	100
-93.6	93.6	100	100	100
-93.7	93.7	100	100	100
-93.8	93.8	100	100	100
-93.9	93.9	100	100	100
-94.0	94.0	100	100	100
-94.1	94.1	100	100	100
-94.2	94.2	100	100	100
-94.3	94.3	100	100	100
-94.4	94.4	100	100	100
-94.5	94.5	100	100	100
-94.6	94.6	100	100	100
-94.7	94.7	100	100	100
-94.8	94.8	100	100	100
-94.9	94.9	100	100	100
-95.0	95.0	100	100	100
-95.1	95.1	100	100	100
-95.2	95.2	100	100	100
-95.3	95.3	100	100	100
-95.4	95.4	100	100	100
-95.5	95.5	100	100	100
-95.6	95.6	100	100	100
-95.7	95.7	100	100	100
-95.8	95.8	100	100	100
-95.9	95.9	100	100	100
-96.0	96.0	100	100	100
-96.1	96.1	100	100	100
-96.2	96.2	100	100	100
-96.3	96.3	100	100	100
-96.4	96.4	100	100	100
-96.5	96.5	100	100	100
-96.6	96.6	100	100	100
-96.7	96.7	100	100	100
-96.8	96.8	100	100	100
-96.9	96.9	100	100	100
-97.0	97.0	100	100	100
-97.1	97.1	100	100	100
-97.2	97.2	100	100	100
-97.3	97.3	100	100	100
-97.4	97.4	100	100	100
-97.5	97.5	100	100	100
-97.6	97.6	100	100	100
-97.7	97.7	100	100	100
-97.8	97.8	100	100	100
-97.9	97.9	100	100	100
-98.0	98.0	100	100	100
-98.1	98.1	100	100	100
-98.2	98.2	100	100	100
-98.3	98.3	100	100	100
-98.4	98.4	100	100	100
-98.5	98.5	100	100	100
-98.6	98.6	100	100	100
-98.7	98.7	100	100	100
-98.8	98.8	100	100	100
-98.9	98.9	100	100	100
-99.0	99.0	100	100	100
-99.1	99.1	100	100	100
-99.2	99.2	100	100	100
-99.3	99.3	100	100	100
-99.4	99.4	100	100	100
-99.5	99.5	100	100	100
-99.6	99.6	100	100	100
-99.7	99.7	100	100	100
-99.8	99.8	100	100	100
-99.9	99.9	100	100	100
-100.0	100.0	100	100	100
diff --git a/tests/resources/analysis_results/ref_reports/IrisR.txt b/tests/resources/analysis_results/ref_reports/IrisR.txt
deleted file mode 100644
index eb77098f..00000000
--- a/tests/resources/analysis_results/ref_reports/IrisR.txt
+++ /dev/null
@@ -1,2356 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Regression analysis
-Target variable	PetalLength
-Target descriptive stats
-	Values	36
-	Min	1
-	Max	6.9
-	Mean	3.801010101
-	Std dev	1.712137004
-	Missing number	0
-Evaluated variables	11
-Informative variables	9
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	0
-	Data cost	359.134
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	SPetalLength	Categorical	0.203117	5	5	5						4	32	3.09104	56.056	227.593	AsCategorical(Floor(PetalLength))
-R02	Class	Categorical	0.180945	3	3	3						Iris-versicolor	37	3.09104	27.4153	264.212	
-R03	PetalWidth	Numerical	0.151716	3	3	20	0.1	2.5	1.218181818	0.749863777	0			3.09104	33.7898	268.355	
-R04	LowerPetalLength	Numerical	0.139383	3	3	9	1	3	2.517171717	0.7226550938	0			3.09104	26.055	280.528	If(LE(PetalLength, 3), PetalLength, 3)
-R05	Class1	Categorical	0.120688	2	2	2							68	3.09104	13.2609	300.049	IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R06	SepalLength	Numerical	0.0897429	3	3	30	4.3	7.7	5.848484848	0.8065844732	0			3.09104	24.3655	300.079	
-R07	Class2	Categorical	0.0871851	3	2	2							62	3.09104	20.4711	304.894	IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R08	UpperPetalWidth	Numerical	0.0792322	2	2	11	1.5	2.5	1.681818182	0.2962266524	0			3.09104	9.22257	319.004	If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-R09	SepalWidth	Numerical	0.0235955	2	2	22	2	4.4	3.042424242	0.4422374035	0			3.09104	11.3418	336.904	
-R10	Dummy1	Numerical	0	1	1	1	0	0	0	0	0			0.693147	0	359.134	Copy(0)
-R11	Dummy2	Numerical	0	1	1	99	0.01372010867	0.9853969761	0.5371015665	0.2836682962	0			0.693147	0	359.134	Random()
-
-Detailed variable statistics
-
-Rank	R01	SPetalLength	Categorical
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4}	4
-	{1}	1
-	{5}	5
-	{3}	3
-	{6}	6	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;3.95]	2.4	3.95
-	]3.95;4.95]	3.95	4.95
-	]4.95;5.95]	4.95	5.95
-	]5.95;+inf[	5.95	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;3.95]	]3.95;4.95]	]4.95;5.95]	]5.95;+inf[	Interest
-{4}	0	0	32	0	0	0.258541
-{1}	31	0	0	0	0	0.257503
-{5}	0	0	0	24	0	0.243299
-{3}	0	6	0	0	0	0.120329
-{6}	0	0	0	0	6	0.120329
-
-Input values
-	4	32
-	1	31
-	5	24
-	3	6
-	6	6
-
-Rank	R02	Class	Categorical
-
-Data grid	Supervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;4.85]	]4.85;+inf[	Interest
-{Iris-versicolor}	0	34	3	0.296484
-{Iris-setosa}	31	0	0	0.366329
-{Iris-virginica}	0	0	31	0.337186
-
-Input values
-	Iris-versicolor	37
-	Iris-setosa	31
-	Iris-virginica	31
-
-Rank	R03	PetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.65]	0.7	1.65
-	]1.65;+inf[	1.65	2.5
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.75]	2.4	4.75
-	]4.75;+inf[	4.75	6.9
-Cells
-Interval	]-inf;2.4]	]2.4;4.75]	]4.75;+inf[	Interest
-]-inf;0.7]	31	0	0	0.383335
-]0.7;1.65]	0	32	5	0.282696
-]1.65;+inf[	0	0	31	0.333969
-
-Rank	R04	LowerPetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	3
-PetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Interval	]-inf;1.45]	]1.45;2.4]	]2.4;+inf[	Interest
-]-inf;1.45]	16	0	0	0.351297
-]1.45;2.4]	0	15	0	0.341003
-]2.4;+inf[	0	0	68	0.3077
-
-Rank	R05	Class1	Categorical
-
-Data grid	Supervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;+inf[	Interest
-{}	0	68	0.415063
-{setosa}	31	0	0.584937
-
-Input values
-		68
-	setosa	31
-
-Rank	R06	SepalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.15]	4.3	5.15
-	]5.15;5.75]	5.15	5.75
-	]5.75;+inf[	5.75	7.7
-PetalLength	Numerical	Intervals
-	]-inf;3.65]	1	3.65
-	]3.65;4.55]	3.65	4.55
-	]4.55;+inf[	4.55	6.9
-Cells
-Interval	]-inf;3.65]	]3.65;4.55]	]4.55;+inf[	Interest
-]-inf;5.15]	23	0	0	0.416542
-]5.15;5.75]	11	12	1	0.170331
-]5.75;+inf[	0	11	41	0.413128
-
-Rank	R07	Class2	Categorical
-
-Data grid	Supervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;4.85]	]4.85;+inf[	Interest
-{}	31	0	31	0.473042
-{versicolor}	0	34	3	0.526958
-
-Input values
-		62
-	versicolor	37
-
-Rank	R08	UpperPetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-PetalLength	Numerical	Intervals
-	]-inf;4.75]	1	4.75
-	]4.75;+inf[	4.75	6.9
-Cells
-Interval	]-inf;4.75]	]4.75;+inf[	Interest
-]-inf;1.55]	61	5	0.376437
-]1.55;+inf[	2	31	0.623563
-
-Rank	R09	SepalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Interval	]-inf;2.4]	]2.4;+inf[	Interest
-]-inf;3.35]	11	65	0.271773
-]3.35;+inf[	20	3	0.728227
-
-
-Report	Modeling
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Regression analysis
-Target variable	PetalLength
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	5
-R2	Regressor	Univariate	Univariate SPetalLength	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PSPetalLength	SPetalLength	0.203117	0.476562	0.311123
-PLowerPetalLength	LowerPetalLength	0.139383	0.414062	0.240236
-PPetalWidth	PetalWidth	0.151716	0.164062	0.157768
-PSepalLength	SepalLength	0.0897429	0.257812	0.152108
-PClass2	Class2	0.0871851	0.148438	0.113761
-
-
-Report	Evaluation	Train
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Regression analysis
-Target variable	PetalLength
-
-Predictors performance
-Rank	Type	Family	Name	RMSE	MAE	NLPD	RankRMSE	RankMAE	RankNLPD
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	0.240652	0.195078	-0.413359	0.0618349	0.0512148	-1.66494
-R2	Regressor	Univariate	Univariate SPetalLength	0.278657	0.226246	-0.154735	0.0800942	0.0670138	-1.40631
-
-Predictors detailed performance
-
-Rank	R2
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4}	4
-	{1}	1
-	{5}	5
-	{3}	3
-	{6}	6	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;3.95]	2.4	3.95
-	]3.95;4.95]	3.95	4.95
-	]4.95;5.95]	4.95	5.95
-	]5.95;+inf[	5.95	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;3.95]	]3.95;4.95]	]4.95;5.95]	]5.95;+inf[	Interest
-{4}	0	0	32	0	0	0.258541
-{1}	31	0	0	0	0	0.257503
-{5}	0	0	0	24	0	0.243299
-{3}	0	6	0	0	0	0.120329
-{6}	0	0	0	0	6	0.120329
-
-REC curves
-Size	Selective Naive Bayes	Univariate SPetalLength
-0.0	0	0
-0.1	0	1.0101
-0.2	2.0202	1.0101
-0.3	2.0202	4.0404
-0.4	4.0404	4.0404
-0.5	4.0404	4.0404
-0.6	4.0404	4.0404
-0.7	4.0404	4.0404
-0.8	5.05051	4.0404
-0.9	5.05051	4.0404
-1.0	5.05051	4.0404
-1.1	7.07071	4.0404
-1.2	7.07071	4.0404
-1.3	8.08081	6.06061
-1.4	8.08081	6.06061
-1.5	8.08081	8.08081
-1.6	11.1111	15.1515
-1.7	12.1212	15.1515
-1.8	12.1212	18.1818
-1.9	13.1313	20.202
-2.0	15.1515	20.202
-2.1	15.1515	20.202
-2.2	15.1515	20.202
-2.3	15.1515	20.202
-2.4	16.1616	20.202
-2.5	18.1818	20.202
-2.6	19.1919	23.2323
-2.7	31.3131	23.2323
-2.8	32.3232	24.2424
-2.9	32.3232	24.2424
-3.0	40.404	24.2424
-3.1	40.404	25.2525
-3.2	42.4242	25.2525
-3.3	42.4242	27.2727
-3.4	44.4444	27.2727
-3.5	44.4444	27.2727
-3.6	44.4444	27.2727
-3.7	44.4444	27.2727
-3.8	44.4444	27.2727
-3.9	44.4444	27.2727
-4.0	44.4444	27.2727
-4.1	45.4545	27.2727
-4.2	45.4545	27.2727
-4.3	45.4545	36.3636
-4.4	48.4848	44.4444
-4.5	53.5354	44.4444
-4.6	53.5354	44.4444
-4.7	53.5354	44.4444
-4.8	55.5556	44.4444
-4.9	56.5657	44.4444
-5.0	58.5859	44.4444
-5.1	58.5859	48.4848
-5.2	62.6263	48.4848
-5.3	62.6263	48.4848
-5.4	62.6263	48.4848
-5.5	62.6263	48.4848
-5.6	63.6364	48.4848
-5.7	67.6768	48.4848
-5.8	67.6768	51.5152
-5.9	67.6768	57.5758
-6.0	72.7273	57.5758
-6.1	72.7273	57.5758
-6.2	72.7273	57.5758
-6.3	72.7273	57.5758
-6.4	72.7273	57.5758
-6.5	72.7273	57.5758
-6.6	72.7273	57.5758
-6.7	72.7273	57.5758
-6.8	73.7374	57.5758
-6.9	73.7374	57.5758
-7.0	73.7374	57.5758
-7.1	73.7374	57.5758
-7.2	75.7576	57.5758
-7.3	75.7576	57.5758
-7.4	77.7778	57.5758
-7.5	78.7879	57.5758
-7.6	78.7879	60.6061
-7.7	78.7879	60.6061
-7.8	78.7879	60.6061
-7.9	78.7879	60.6061
-8.0	78.7879	60.6061
-8.1	78.7879	64.6465
-8.2	84.8485	64.6465
-8.3	84.8485	66.6667
-8.4	84.8485	66.6667
-8.5	85.8586	66.6667
-8.6	85.8586	66.6667
-8.7	85.8586	66.6667
-8.8	85.8586	66.6667
-8.9	85.8586	66.6667
-9.0	85.8586	66.6667
-9.1	85.8586	66.6667
-9.2	85.8586	66.6667
-9.3	85.8586	66.6667
-9.4	85.8586	66.6667
-9.5	85.8586	66.6667
-9.6	85.8586	66.6667
-9.7	85.8586	66.6667
-9.8	85.8586	66.6667
-9.9	85.8586	69.697
-10.0	85.8586	69.697
-10.1	85.8586	69.697
-10.2	86.8687	69.697
-10.3	89.899	69.697
-10.4	89.899	74.7475
-10.5	90.9091	74.7475
-10.6	91.9192	77.7778
-10.7	91.9192	77.7778
-10.8	91.9192	77.7778
-10.9	92.9293	77.7778
-11.0	92.9293	77.7778
-11.1	92.9293	77.7778
-11.2	93.9394	79.798
-11.3	93.9394	79.798
-11.4	93.9394	84.8485
-11.5	93.9394	84.8485
-11.6	93.9394	84.8485
-11.7	93.9394	84.8485
-11.8	94.9495	84.8485
-11.9	94.9495	85.8586
-12.0	94.9495	85.8586
-12.1	94.9495	85.8586
-12.2	94.9495	85.8586
-12.3	94.9495	85.8586
-12.4	94.9495	87.8788
-12.5	94.9495	87.8788
-12.6	94.9495	87.8788
-12.7	94.9495	87.8788
-12.8	94.9495	87.8788
-12.9	94.9495	87.8788
-13.0	94.9495	87.8788
-13.1	94.9495	87.8788
-13.2	94.9495	87.8788
-13.3	94.9495	87.8788
-13.4	94.9495	87.8788
-13.5	94.9495	87.8788
-13.6	94.9495	87.8788
-13.7	94.9495	87.8788
-13.8	94.9495	87.8788
-13.9	94.9495	87.8788
-14.0	94.9495	87.8788
-14.1	97.9798	87.8788
-14.2	97.9798	95.9596
-14.3	100	95.9596
-14.4	100	96.9697
-14.5	100	98.9899
-14.6	100	98.9899
-14.7	100	98.9899
-14.8	100	98.9899
-14.9	100	98.9899
-15.0	100	98.9899
-15.1	100	98.9899
-15.2	100	98.9899
-15.3	100	98.9899
-15.4	100	100
-15.5	100	100
-15.6	100	100
-15.7	100	100
-15.8	100	100
-15.9	100	100
-16.0	100	100
-16.1	100	100
-16.2	100	100
-16.3	100	100
-16.4	100	100
-16.5	100	100
-16.6	100	100
-16.7	100	100
-16.8	100	100
-16.9	100	100
-17.0	100	100
-17.1	100	100
-17.2	100	100
-17.3	100	100
-17.4	100	100
-17.5	100	100
-17.6	100	100
-17.7	100	100
-17.8	100	100
-17.9	100	100
-18.0	100	100
-18.1	100	100
-18.2	100	100
-18.3	100	100
-18.4	100	100
-18.5	100	100
-18.6	100	100
-18.7	100	100
-18.8	100	100
-18.9	100	100
-19.0	100	100
-19.1	100	100
-19.2	100	100
-19.3	100	100
-19.4	100	100
-19.5	100	100
-19.6	100	100
-19.7	100	100
-19.8	100	100
-19.9	100	100
-20.0	100	100
-20.1	100	100
-20.2	100	100
-20.3	100	100
-20.4	100	100
-20.5	100	100
-20.6	100	100
-20.7	100	100
-20.8	100	100
-20.9	100	100
-21.0	100	100
-21.1	100	100
-21.2	100	100
-21.3	100	100
-21.4	100	100
-21.5	100	100
-21.6	100	100
-21.7	100	100
-21.8	100	100
-21.9	100	100
-22.0	100	100
-22.1	100	100
-22.2	100	100
-22.3	100	100
-22.4	100	100
-22.5	100	100
-22.6	100	100
-22.7	100	100
-22.8	100	100
-22.9	100	100
-23.0	100	100
-23.1	100	100
-23.2	100	100
-23.3	100	100
-23.4	100	100
-23.5	100	100
-23.6	100	100
-23.7	100	100
-23.8	100	100
-23.9	100	100
-24.0	100	100
-24.1	100	100
-24.2	100	100
-24.3	100	100
-24.4	100	100
-24.5	100	100
-24.6	100	100
-24.7	100	100
-24.8	100	100
-24.9	100	100
-25.0	100	100
-25.1	100	100
-25.2	100	100
-25.3	100	100
-25.4	100	100
-25.5	100	100
-25.6	100	100
-25.7	100	100
-25.8	100	100
-25.9	100	100
-26.0	100	100
-26.1	100	100
-26.2	100	100
-26.3	100	100
-26.4	100	100
-26.5	100	100
-26.6	100	100
-26.7	100	100
-26.8	100	100
-26.9	100	100
-27.0	100	100
-27.1	100	100
-27.2	100	100
-27.3	100	100
-27.4	100	100
-27.5	100	100
-27.6	100	100
-27.7	100	100
-27.8	100	100
-27.9	100	100
-28.0	100	100
-28.1	100	100
-28.2	100	100
-28.3	100	100
-28.4	100	100
-28.5	100	100
-28.6	100	100
-28.7	100	100
-28.8	100	100
-28.9	100	100
-29.0	100	100
-29.1	100	100
-29.2	100	100
-29.3	100	100
-29.4	100	100
-29.5	100	100
-29.6	100	100
-29.7	100	100
-29.8	100	100
-29.9	100	100
-30.0	100	100
-30.1	100	100
-30.2	100	100
-30.3	100	100
-30.4	100	100
-30.5	100	100
-30.6	100	100
-30.7	100	100
-30.8	100	100
-30.9	100	100
-31.0	100	100
-31.1	100	100
-31.2	100	100
-31.3	100	100
-31.4	100	100
-31.5	100	100
-31.6	100	100
-31.7	100	100
-31.8	100	100
-31.9	100	100
-32.0	100	100
-32.1	100	100
-32.2	100	100
-32.3	100	100
-32.4	100	100
-32.5	100	100
-32.6	100	100
-32.7	100	100
-32.8	100	100
-32.9	100	100
-33.0	100	100
-33.1	100	100
-33.2	100	100
-33.3	100	100
-33.4	100	100
-33.5	100	100
-33.6	100	100
-33.7	100	100
-33.8	100	100
-33.9	100	100
-34.0	100	100
-34.1	100	100
-34.2	100	100
-34.3	100	100
-34.4	100	100
-34.5	100	100
-34.6	100	100
-34.7	100	100
-34.8	100	100
-34.9	100	100
-35.0	100	100
-35.1	100	100
-35.2	100	100
-35.3	100	100
-35.4	100	100
-35.5	100	100
-35.6	100	100
-35.7	100	100
-35.8	100	100
-35.9	100	100
-36.0	100	100
-36.1	100	100
-36.2	100	100
-36.3	100	100
-36.4	100	100
-36.5	100	100
-36.6	100	100
-36.7	100	100
-36.8	100	100
-36.9	100	100
-37.0	100	100
-37.1	100	100
-37.2	100	100
-37.3	100	100
-37.4	100	100
-37.5	100	100
-37.6	100	100
-37.7	100	100
-37.8	100	100
-37.9	100	100
-38.0	100	100
-38.1	100	100
-38.2	100	100
-38.3	100	100
-38.4	100	100
-38.5	100	100
-38.6	100	100
-38.7	100	100
-38.8	100	100
-38.9	100	100
-39.0	100	100
-39.1	100	100
-39.2	100	100
-39.3	100	100
-39.4	100	100
-39.5	100	100
-39.6	100	100
-39.7	100	100
-39.8	100	100
-39.9	100	100
-40.0	100	100
-40.1	100	100
-40.2	100	100
-40.3	100	100
-40.4	100	100
-40.5	100	100
-40.6	100	100
-40.7	100	100
-40.8	100	100
-40.9	100	100
-41.0	100	100
-41.1	100	100
-41.2	100	100
-41.3	100	100
-41.4	100	100
-41.5	100	100
-41.6	100	100
-41.7	100	100
-41.8	100	100
-41.9	100	100
-42.0	100	100
-42.1	100	100
-42.2	100	100
-42.3	100	100
-42.4	100	100
-42.5	100	100
-42.6	100	100
-42.7	100	100
-42.8	100	100
-42.9	100	100
-43.0	100	100
-43.1	100	100
-43.2	100	100
-43.3	100	100
-43.4	100	100
-43.5	100	100
-43.6	100	100
-43.7	100	100
-43.8	100	100
-43.9	100	100
-44.0	100	100
-44.1	100	100
-44.2	100	100
-44.3	100	100
-44.4	100	100
-44.5	100	100
-44.6	100	100
-44.7	100	100
-44.8	100	100
-44.9	100	100
-45.0	100	100
-45.1	100	100
-45.2	100	100
-45.3	100	100
-45.4	100	100
-45.5	100	100
-45.6	100	100
-45.7	100	100
-45.8	100	100
-45.9	100	100
-46.0	100	100
-46.1	100	100
-46.2	100	100
-46.3	100	100
-46.4	100	100
-46.5	100	100
-46.6	100	100
-46.7	100	100
-46.8	100	100
-46.9	100	100
-47.0	100	100
-47.1	100	100
-47.2	100	100
-47.3	100	100
-47.4	100	100
-47.5	100	100
-47.6	100	100
-47.7	100	100
-47.8	100	100
-47.9	100	100
-48.0	100	100
-48.1	100	100
-48.2	100	100
-48.3	100	100
-48.4	100	100
-48.5	100	100
-48.6	100	100
-48.7	100	100
-48.8	100	100
-48.9	100	100
-49.0	100	100
-49.1	100	100
-49.2	100	100
-49.3	100	100
-49.4	100	100
-49.5	100	100
-49.6	100	100
-49.7	100	100
-49.8	100	100
-49.9	100	100
-50.0	100	100
-50.1	100	100
-50.2	100	100
-50.3	100	100
-50.4	100	100
-50.5	100	100
-50.6	100	100
-50.7	100	100
-50.8	100	100
-50.9	100	100
-51.0	100	100
-51.1	100	100
-51.2	100	100
-51.3	100	100
-51.4	100	100
-51.5	100	100
-51.6	100	100
-51.7	100	100
-51.8	100	100
-51.9	100	100
-52.0	100	100
-52.1	100	100
-52.2	100	100
-52.3	100	100
-52.4	100	100
-52.5	100	100
-52.6	100	100
-52.7	100	100
-52.8	100	100
-52.9	100	100
-53.0	100	100
-53.1	100	100
-53.2	100	100
-53.3	100	100
-53.4	100	100
-53.5	100	100
-53.6	100	100
-53.7	100	100
-53.8	100	100
-53.9	100	100
-54.0	100	100
-54.1	100	100
-54.2	100	100
-54.3	100	100
-54.4	100	100
-54.5	100	100
-54.6	100	100
-54.7	100	100
-54.8	100	100
-54.9	100	100
-55.0	100	100
-55.1	100	100
-55.2	100	100
-55.3	100	100
-55.4	100	100
-55.5	100	100
-55.6	100	100
-55.7	100	100
-55.8	100	100
-55.9	100	100
-56.0	100	100
-56.1	100	100
-56.2	100	100
-56.3	100	100
-56.4	100	100
-56.5	100	100
-56.6	100	100
-56.7	100	100
-56.8	100	100
-56.9	100	100
-57.0	100	100
-57.1	100	100
-57.2	100	100
-57.3	100	100
-57.4	100	100
-57.5	100	100
-57.6	100	100
-57.7	100	100
-57.8	100	100
-57.9	100	100
-58.0	100	100
-58.1	100	100
-58.2	100	100
-58.3	100	100
-58.4	100	100
-58.5	100	100
-58.6	100	100
-58.7	100	100
-58.8	100	100
-58.9	100	100
-59.0	100	100
-59.1	100	100
-59.2	100	100
-59.3	100	100
-59.4	100	100
-59.5	100	100
-59.6	100	100
-59.7	100	100
-59.8	100	100
-59.9	100	100
-60.0	100	100
-60.1	100	100
-60.2	100	100
-60.3	100	100
-60.4	100	100
-60.5	100	100
-60.6	100	100
-60.7	100	100
-60.8	100	100
-60.9	100	100
-61.0	100	100
-61.1	100	100
-61.2	100	100
-61.3	100	100
-61.4	100	100
-61.5	100	100
-61.6	100	100
-61.7	100	100
-61.8	100	100
-61.9	100	100
-62.0	100	100
-62.1	100	100
-62.2	100	100
-62.3	100	100
-62.4	100	100
-62.5	100	100
-62.6	100	100
-62.7	100	100
-62.8	100	100
-62.9	100	100
-63.0	100	100
-63.1	100	100
-63.2	100	100
-63.3	100	100
-63.4	100	100
-63.5	100	100
-63.6	100	100
-63.7	100	100
-63.8	100	100
-63.9	100	100
-64.0	100	100
-64.1	100	100
-64.2	100	100
-64.3	100	100
-64.4	100	100
-64.5	100	100
-64.6	100	100
-64.7	100	100
-64.8	100	100
-64.9	100	100
-65.0	100	100
-65.1	100	100
-65.2	100	100
-65.3	100	100
-65.4	100	100
-65.5	100	100
-65.6	100	100
-65.7	100	100
-65.8	100	100
-65.9	100	100
-66.0	100	100
-66.1	100	100
-66.2	100	100
-66.3	100	100
-66.4	100	100
-66.5	100	100
-66.6	100	100
-66.7	100	100
-66.8	100	100
-66.9	100	100
-67.0	100	100
-67.1	100	100
-67.2	100	100
-67.3	100	100
-67.4	100	100
-67.5	100	100
-67.6	100	100
-67.7	100	100
-67.8	100	100
-67.9	100	100
-68.0	100	100
-68.1	100	100
-68.2	100	100
-68.3	100	100
-68.4	100	100
-68.5	100	100
-68.6	100	100
-68.7	100	100
-68.8	100	100
-68.9	100	100
-69.0	100	100
-69.1	100	100
-69.2	100	100
-69.3	100	100
-69.4	100	100
-69.5	100	100
-69.6	100	100
-69.7	100	100
-69.8	100	100
-69.9	100	100
-70.0	100	100
-70.1	100	100
-70.2	100	100
-70.3	100	100
-70.4	100	100
-70.5	100	100
-70.6	100	100
-70.7	100	100
-70.8	100	100
-70.9	100	100
-71.0	100	100
-71.1	100	100
-71.2	100	100
-71.3	100	100
-71.4	100	100
-71.5	100	100
-71.6	100	100
-71.7	100	100
-71.8	100	100
-71.9	100	100
-72.0	100	100
-72.1	100	100
-72.2	100	100
-72.3	100	100
-72.4	100	100
-72.5	100	100
-72.6	100	100
-72.7	100	100
-72.8	100	100
-72.9	100	100
-73.0	100	100
-73.1	100	100
-73.2	100	100
-73.3	100	100
-73.4	100	100
-73.5	100	100
-73.6	100	100
-73.7	100	100
-73.8	100	100
-73.9	100	100
-74.0	100	100
-74.1	100	100
-74.2	100	100
-74.3	100	100
-74.4	100	100
-74.5	100	100
-74.6	100	100
-74.7	100	100
-74.8	100	100
-74.9	100	100
-75.0	100	100
-75.1	100	100
-75.2	100	100
-75.3	100	100
-75.4	100	100
-75.5	100	100
-75.6	100	100
-75.7	100	100
-75.8	100	100
-75.9	100	100
-76.0	100	100
-76.1	100	100
-76.2	100	100
-76.3	100	100
-76.4	100	100
-76.5	100	100
-76.6	100	100
-76.7	100	100
-76.8	100	100
-76.9	100	100
-77.0	100	100
-77.1	100	100
-77.2	100	100
-77.3	100	100
-77.4	100	100
-77.5	100	100
-77.6	100	100
-77.7	100	100
-77.8	100	100
-77.9	100	100
-78.0	100	100
-78.1	100	100
-78.2	100	100
-78.3	100	100
-78.4	100	100
-78.5	100	100
-78.6	100	100
-78.7	100	100
-78.8	100	100
-78.9	100	100
-79.0	100	100
-79.1	100	100
-79.2	100	100
-79.3	100	100
-79.4	100	100
-79.5	100	100
-79.6	100	100
-79.7	100	100
-79.8	100	100
-79.9	100	100
-80.0	100	100
-80.1	100	100
-80.2	100	100
-80.3	100	100
-80.4	100	100
-80.5	100	100
-80.6	100	100
-80.7	100	100
-80.8	100	100
-80.9	100	100
-81.0	100	100
-81.1	100	100
-81.2	100	100
-81.3	100	100
-81.4	100	100
-81.5	100	100
-81.6	100	100
-81.7	100	100
-81.8	100	100
-81.9	100	100
-82.0	100	100
-82.1	100	100
-82.2	100	100
-82.3	100	100
-82.4	100	100
-82.5	100	100
-82.6	100	100
-82.7	100	100
-82.8	100	100
-82.9	100	100
-83.0	100	100
-83.1	100	100
-83.2	100	100
-83.3	100	100
-83.4	100	100
-83.5	100	100
-83.6	100	100
-83.7	100	100
-83.8	100	100
-83.9	100	100
-84.0	100	100
-84.1	100	100
-84.2	100	100
-84.3	100	100
-84.4	100	100
-84.5	100	100
-84.6	100	100
-84.7	100	100
-84.8	100	100
-84.9	100	100
-85.0	100	100
-85.1	100	100
-85.2	100	100
-85.3	100	100
-85.4	100	100
-85.5	100	100
-85.6	100	100
-85.7	100	100
-85.8	100	100
-85.9	100	100
-86.0	100	100
-86.1	100	100
-86.2	100	100
-86.3	100	100
-86.4	100	100
-86.5	100	100
-86.6	100	100
-86.7	100	100
-86.8	100	100
-86.9	100	100
-87.0	100	100
-87.1	100	100
-87.2	100	100
-87.3	100	100
-87.4	100	100
-87.5	100	100
-87.6	100	100
-87.7	100	100
-87.8	100	100
-87.9	100	100
-88.0	100	100
-88.1	100	100
-88.2	100	100
-88.3	100	100
-88.4	100	100
-88.5	100	100
-88.6	100	100
-88.7	100	100
-88.8	100	100
-88.9	100	100
-89.0	100	100
-89.1	100	100
-89.2	100	100
-89.3	100	100
-89.4	100	100
-89.5	100	100
-89.6	100	100
-89.7	100	100
-89.8	100	100
-89.9	100	100
-90.0	100	100
-90.1	100	100
-90.2	100	100
-90.3	100	100
-90.4	100	100
-90.5	100	100
-90.6	100	100
-90.7	100	100
-90.8	100	100
-90.9	100	100
-91.0	100	100
-91.1	100	100
-91.2	100	100
-91.3	100	100
-91.4	100	100
-91.5	100	100
-91.6	100	100
-91.7	100	100
-91.8	100	100
-91.9	100	100
-92.0	100	100
-92.1	100	100
-92.2	100	100
-92.3	100	100
-92.4	100	100
-92.5	100	100
-92.6	100	100
-92.7	100	100
-92.8	100	100
-92.9	100	100
-93.0	100	100
-93.1	100	100
-93.2	100	100
-93.3	100	100
-93.4	100	100
-93.5	100	100
-93.6	100	100
-93.7	100	100
-93.8	100	100
-93.9	100	100
-94.0	100	100
-94.1	100	100
-94.2	100	100
-94.3	100	100
-94.4	100	100
-94.5	100	100
-94.6	100	100
-94.7	100	100
-94.8	100	100
-94.9	100	100
-95.0	100	100
-95.1	100	100
-95.2	100	100
-95.3	100	100
-95.4	100	100
-95.5	100	100
-95.6	100	100
-95.7	100	100
-95.8	100	100
-95.9	100	100
-96.0	100	100
-96.1	100	100
-96.2	100	100
-96.3	100	100
-96.4	100	100
-96.5	100	100
-96.6	100	100
-96.7	100	100
-96.8	100	100
-96.9	100	100
-97.0	100	100
-97.1	100	100
-97.2	100	100
-97.3	100	100
-97.4	100	100
-97.5	100	100
-97.6	100	100
-97.7	100	100
-97.8	100	100
-97.9	100	100
-98.0	100	100
-98.1	100	100
-98.2	100	100
-98.3	100	100
-98.4	100	100
-98.5	100	100
-98.6	100	100
-98.7	100	100
-98.8	100	100
-98.9	100	100
-99.0	100	100
-99.1	100	100
-99.2	100	100
-99.3	100	100
-99.4	100	100
-99.5	100	100
-99.6	100	100
-99.7	100	100
-99.8	100	100
-99.9	100	100
-100.0	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	51
-Learning task	Regression analysis
-Target variable	PetalLength
-
-Predictors performance
-Rank	Type	Family	Name	RMSE	MAE	NLPD	RankRMSE	RankMAE	RankNLPD
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	0.20115	0.157079	-0.329867	0.0519631	0.0438059	-1.81277
-R2	Regressor	Univariate	Univariate SPetalLength	0.257277	0.20697	-0.0424382	0.0761558	0.0617964	-1.52535
-
-Predictors detailed performance
-
-Rank	R2
-
-Data grid	Supervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4}	4
-	{1}	1
-	{5}	5
-	{3}	3
-	{6}	6	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;3.95]	2.4	3.95
-	]3.95;4.95]	3.95	4.95
-	]4.95;5.95]	4.95	5.95
-	]5.95;+inf[	5.95	6.9
-Cells
-Value group	]-inf;2.4]	]2.4;3.95]	]3.95;4.95]	]4.95;5.95]	]5.95;+inf[	Interest
-{4}	0	0	11	0	0	0.222806
-{1}	19	0	0	0	0	0.247724
-{5}	0	0	0	11	0	0.222806
-{3}	0	5	0	0	0	0.153332
-{6}	0	0	0	0	5	0.153332
-
-REC curves
-Size	Selective Naive Bayes	Univariate SPetalLength
-0.0	0	0
-0.1	0	7.84314
-0.2	0	7.84314
-0.3	0	9.80392
-0.4	0	9.80392
-0.5	0	9.80392
-0.6	0	9.80392
-0.7	3.92157	9.80392
-0.8	3.92157	9.80392
-0.9	3.92157	9.80392
-1.0	3.92157	9.80392
-1.1	3.92157	9.80392
-1.2	3.92157	9.80392
-1.3	7.84314	15.6863
-1.4	7.84314	15.6863
-1.5	7.84314	15.6863
-1.6	9.80392	23.5294
-1.7	11.7647	23.5294
-1.8	11.7647	27.451
-1.9	19.6078	27.451
-2.0	19.6078	27.451
-2.1	19.6078	27.451
-2.2	19.6078	27.451
-2.3	19.6078	27.451
-2.4	21.5686	27.451
-2.5	23.5294	27.451
-2.6	25.4902	29.4118
-2.7	39.2157	29.4118
-2.8	39.2157	29.4118
-2.9	39.2157	29.4118
-3.0	50.9804	29.4118
-3.1	50.9804	29.4118
-3.2	52.9412	29.4118
-3.3	52.9412	31.3725
-3.4	54.902	31.3725
-3.5	54.902	31.3725
-3.6	54.902	31.3725
-3.7	54.902	31.3725
-3.8	54.902	31.3725
-3.9	54.902	31.3725
-4.0	54.902	31.3725
-4.1	56.8627	31.3725
-4.2	56.8627	31.3725
-4.3	56.8627	37.2549
-4.4	58.8235	49.0196
-4.5	62.7451	49.0196
-4.6	62.7451	49.0196
-4.7	62.7451	49.0196
-4.8	64.7059	49.0196
-4.9	64.7059	49.0196
-5.0	64.7059	49.0196
-5.1	64.7059	50.9804
-5.2	70.5882	50.9804
-5.3	70.5882	50.9804
-5.4	70.5882	50.9804
-5.5	70.5882	50.9804
-5.6	70.5882	50.9804
-5.7	74.5098	50.9804
-5.8	74.5098	56.8627
-5.9	74.5098	60.7843
-6.0	78.4314	60.7843
-6.1	78.4314	60.7843
-6.2	78.4314	60.7843
-6.3	78.4314	60.7843
-6.4	78.4314	60.7843
-6.5	78.4314	60.7843
-6.6	78.4314	60.7843
-6.7	78.4314	60.7843
-6.8	78.4314	60.7843
-6.9	78.4314	60.7843
-7.0	78.4314	60.7843
-7.1	78.4314	60.7843
-7.2	78.4314	60.7843
-7.3	78.4314	60.7843
-7.4	78.4314	60.7843
-7.5	82.3529	60.7843
-7.6	84.3137	62.7451
-7.7	84.3137	62.7451
-7.8	86.2745	62.7451
-7.9	86.2745	62.7451
-8.0	86.2745	62.7451
-8.1	86.2745	64.7059
-8.2	90.1961	64.7059
-8.3	92.1569	66.6667
-8.4	92.1569	66.6667
-8.5	92.1569	66.6667
-8.6	92.1569	66.6667
-8.7	92.1569	66.6667
-8.8	92.1569	66.6667
-8.9	92.1569	66.6667
-9.0	92.1569	66.6667
-9.1	92.1569	66.6667
-9.2	92.1569	66.6667
-9.3	92.1569	66.6667
-9.4	92.1569	66.6667
-9.5	92.1569	66.6667
-9.6	92.1569	66.6667
-9.7	92.1569	66.6667
-9.8	92.1569	66.6667
-9.9	92.1569	74.5098
-10.0	92.1569	74.5098
-10.1	92.1569	74.5098
-10.2	92.1569	74.5098
-10.3	92.1569	74.5098
-10.4	94.1176	78.4314
-10.5	94.1176	78.4314
-10.6	96.0784	78.4314
-10.7	96.0784	78.4314
-10.8	96.0784	78.4314
-10.9	98.0392	78.4314
-11.0	98.0392	78.4314
-11.1	98.0392	78.4314
-11.2	98.0392	82.3529
-11.3	98.0392	82.3529
-11.4	98.0392	86.2745
-11.5	98.0392	86.2745
-11.6	98.0392	86.2745
-11.7	98.0392	86.2745
-11.8	100	86.2745
-11.9	100	88.2353
-12.0	100	88.2353
-12.1	100	88.2353
-12.2	100	88.2353
-12.3	100	88.2353
-12.4	100	92.1569
-12.5	100	92.1569
-12.6	100	92.1569
-12.7	100	92.1569
-12.8	100	92.1569
-12.9	100	92.1569
-13.0	100	92.1569
-13.1	100	92.1569
-13.2	100	92.1569
-13.3	100	92.1569
-13.4	100	92.1569
-13.5	100	92.1569
-13.6	100	92.1569
-13.7	100	92.1569
-13.8	100	92.1569
-13.9	100	92.1569
-14.0	100	92.1569
-14.1	100	92.1569
-14.2	100	96.0784
-14.3	100	96.0784
-14.4	100	100
-14.5	100	100
-14.6	100	100
-14.7	100	100
-14.8	100	100
-14.9	100	100
-15.0	100	100
-15.1	100	100
-15.2	100	100
-15.3	100	100
-15.4	100	100
-15.5	100	100
-15.6	100	100
-15.7	100	100
-15.8	100	100
-15.9	100	100
-16.0	100	100
-16.1	100	100
-16.2	100	100
-16.3	100	100
-16.4	100	100
-16.5	100	100
-16.6	100	100
-16.7	100	100
-16.8	100	100
-16.9	100	100
-17.0	100	100
-17.1	100	100
-17.2	100	100
-17.3	100	100
-17.4	100	100
-17.5	100	100
-17.6	100	100
-17.7	100	100
-17.8	100	100
-17.9	100	100
-18.0	100	100
-18.1	100	100
-18.2	100	100
-18.3	100	100
-18.4	100	100
-18.5	100	100
-18.6	100	100
-18.7	100	100
-18.8	100	100
-18.9	100	100
-19.0	100	100
-19.1	100	100
-19.2	100	100
-19.3	100	100
-19.4	100	100
-19.5	100	100
-19.6	100	100
-19.7	100	100
-19.8	100	100
-19.9	100	100
-20.0	100	100
-20.1	100	100
-20.2	100	100
-20.3	100	100
-20.4	100	100
-20.5	100	100
-20.6	100	100
-20.7	100	100
-20.8	100	100
-20.9	100	100
-21.0	100	100
-21.1	100	100
-21.2	100	100
-21.3	100	100
-21.4	100	100
-21.5	100	100
-21.6	100	100
-21.7	100	100
-21.8	100	100
-21.9	100	100
-22.0	100	100
-22.1	100	100
-22.2	100	100
-22.3	100	100
-22.4	100	100
-22.5	100	100
-22.6	100	100
-22.7	100	100
-22.8	100	100
-22.9	100	100
-23.0	100	100
-23.1	100	100
-23.2	100	100
-23.3	100	100
-23.4	100	100
-23.5	100	100
-23.6	100	100
-23.7	100	100
-23.8	100	100
-23.9	100	100
-24.0	100	100
-24.1	100	100
-24.2	100	100
-24.3	100	100
-24.4	100	100
-24.5	100	100
-24.6	100	100
-24.7	100	100
-24.8	100	100
-24.9	100	100
-25.0	100	100
-25.1	100	100
-25.2	100	100
-25.3	100	100
-25.4	100	100
-25.5	100	100
-25.6	100	100
-25.7	100	100
-25.8	100	100
-25.9	100	100
-26.0	100	100
-26.1	100	100
-26.2	100	100
-26.3	100	100
-26.4	100	100
-26.5	100	100
-26.6	100	100
-26.7	100	100
-26.8	100	100
-26.9	100	100
-27.0	100	100
-27.1	100	100
-27.2	100	100
-27.3	100	100
-27.4	100	100
-27.5	100	100
-27.6	100	100
-27.7	100	100
-27.8	100	100
-27.9	100	100
-28.0	100	100
-28.1	100	100
-28.2	100	100
-28.3	100	100
-28.4	100	100
-28.5	100	100
-28.6	100	100
-28.7	100	100
-28.8	100	100
-28.9	100	100
-29.0	100	100
-29.1	100	100
-29.2	100	100
-29.3	100	100
-29.4	100	100
-29.5	100	100
-29.6	100	100
-29.7	100	100
-29.8	100	100
-29.9	100	100
-30.0	100	100
-30.1	100	100
-30.2	100	100
-30.3	100	100
-30.4	100	100
-30.5	100	100
-30.6	100	100
-30.7	100	100
-30.8	100	100
-30.9	100	100
-31.0	100	100
-31.1	100	100
-31.2	100	100
-31.3	100	100
-31.4	100	100
-31.5	100	100
-31.6	100	100
-31.7	100	100
-31.8	100	100
-31.9	100	100
-32.0	100	100
-32.1	100	100
-32.2	100	100
-32.3	100	100
-32.4	100	100
-32.5	100	100
-32.6	100	100
-32.7	100	100
-32.8	100	100
-32.9	100	100
-33.0	100	100
-33.1	100	100
-33.2	100	100
-33.3	100	100
-33.4	100	100
-33.5	100	100
-33.6	100	100
-33.7	100	100
-33.8	100	100
-33.9	100	100
-34.0	100	100
-34.1	100	100
-34.2	100	100
-34.3	100	100
-34.4	100	100
-34.5	100	100
-34.6	100	100
-34.7	100	100
-34.8	100	100
-34.9	100	100
-35.0	100	100
-35.1	100	100
-35.2	100	100
-35.3	100	100
-35.4	100	100
-35.5	100	100
-35.6	100	100
-35.7	100	100
-35.8	100	100
-35.9	100	100
-36.0	100	100
-36.1	100	100
-36.2	100	100
-36.3	100	100
-36.4	100	100
-36.5	100	100
-36.6	100	100
-36.7	100	100
-36.8	100	100
-36.9	100	100
-37.0	100	100
-37.1	100	100
-37.2	100	100
-37.3	100	100
-37.4	100	100
-37.5	100	100
-37.6	100	100
-37.7	100	100
-37.8	100	100
-37.9	100	100
-38.0	100	100
-38.1	100	100
-38.2	100	100
-38.3	100	100
-38.4	100	100
-38.5	100	100
-38.6	100	100
-38.7	100	100
-38.8	100	100
-38.9	100	100
-39.0	100	100
-39.1	100	100
-39.2	100	100
-39.3	100	100
-39.4	100	100
-39.5	100	100
-39.6	100	100
-39.7	100	100
-39.8	100	100
-39.9	100	100
-40.0	100	100
-40.1	100	100
-40.2	100	100
-40.3	100	100
-40.4	100	100
-40.5	100	100
-40.6	100	100
-40.7	100	100
-40.8	100	100
-40.9	100	100
-41.0	100	100
-41.1	100	100
-41.2	100	100
-41.3	100	100
-41.4	100	100
-41.5	100	100
-41.6	100	100
-41.7	100	100
-41.8	100	100
-41.9	100	100
-42.0	100	100
-42.1	100	100
-42.2	100	100
-42.3	100	100
-42.4	100	100
-42.5	100	100
-42.6	100	100
-42.7	100	100
-42.8	100	100
-42.9	100	100
-43.0	100	100
-43.1	100	100
-43.2	100	100
-43.3	100	100
-43.4	100	100
-43.5	100	100
-43.6	100	100
-43.7	100	100
-43.8	100	100
-43.9	100	100
-44.0	100	100
-44.1	100	100
-44.2	100	100
-44.3	100	100
-44.4	100	100
-44.5	100	100
-44.6	100	100
-44.7	100	100
-44.8	100	100
-44.9	100	100
-45.0	100	100
-45.1	100	100
-45.2	100	100
-45.3	100	100
-45.4	100	100
-45.5	100	100
-45.6	100	100
-45.7	100	100
-45.8	100	100
-45.9	100	100
-46.0	100	100
-46.1	100	100
-46.2	100	100
-46.3	100	100
-46.4	100	100
-46.5	100	100
-46.6	100	100
-46.7	100	100
-46.8	100	100
-46.9	100	100
-47.0	100	100
-47.1	100	100
-47.2	100	100
-47.3	100	100
-47.4	100	100
-47.5	100	100
-47.6	100	100
-47.7	100	100
-47.8	100	100
-47.9	100	100
-48.0	100	100
-48.1	100	100
-48.2	100	100
-48.3	100	100
-48.4	100	100
-48.5	100	100
-48.6	100	100
-48.7	100	100
-48.8	100	100
-48.9	100	100
-49.0	100	100
-49.1	100	100
-49.2	100	100
-49.3	100	100
-49.4	100	100
-49.5	100	100
-49.6	100	100
-49.7	100	100
-49.8	100	100
-49.9	100	100
-50.0	100	100
-50.1	100	100
-50.2	100	100
-50.3	100	100
-50.4	100	100
-50.5	100	100
-50.6	100	100
-50.7	100	100
-50.8	100	100
-50.9	100	100
-51.0	100	100
-51.1	100	100
-51.2	100	100
-51.3	100	100
-51.4	100	100
-51.5	100	100
-51.6	100	100
-51.7	100	100
-51.8	100	100
-51.9	100	100
-52.0	100	100
-52.1	100	100
-52.2	100	100
-52.3	100	100
-52.4	100	100
-52.5	100	100
-52.6	100	100
-52.7	100	100
-52.8	100	100
-52.9	100	100
-53.0	100	100
-53.1	100	100
-53.2	100	100
-53.3	100	100
-53.4	100	100
-53.5	100	100
-53.6	100	100
-53.7	100	100
-53.8	100	100
-53.9	100	100
-54.0	100	100
-54.1	100	100
-54.2	100	100
-54.3	100	100
-54.4	100	100
-54.5	100	100
-54.6	100	100
-54.7	100	100
-54.8	100	100
-54.9	100	100
-55.0	100	100
-55.1	100	100
-55.2	100	100
-55.3	100	100
-55.4	100	100
-55.5	100	100
-55.6	100	100
-55.7	100	100
-55.8	100	100
-55.9	100	100
-56.0	100	100
-56.1	100	100
-56.2	100	100
-56.3	100	100
-56.4	100	100
-56.5	100	100
-56.6	100	100
-56.7	100	100
-56.8	100	100
-56.9	100	100
-57.0	100	100
-57.1	100	100
-57.2	100	100
-57.3	100	100
-57.4	100	100
-57.5	100	100
-57.6	100	100
-57.7	100	100
-57.8	100	100
-57.9	100	100
-58.0	100	100
-58.1	100	100
-58.2	100	100
-58.3	100	100
-58.4	100	100
-58.5	100	100
-58.6	100	100
-58.7	100	100
-58.8	100	100
-58.9	100	100
-59.0	100	100
-59.1	100	100
-59.2	100	100
-59.3	100	100
-59.4	100	100
-59.5	100	100
-59.6	100	100
-59.7	100	100
-59.8	100	100
-59.9	100	100
-60.0	100	100
-60.1	100	100
-60.2	100	100
-60.3	100	100
-60.4	100	100
-60.5	100	100
-60.6	100	100
-60.7	100	100
-60.8	100	100
-60.9	100	100
-61.0	100	100
-61.1	100	100
-61.2	100	100
-61.3	100	100
-61.4	100	100
-61.5	100	100
-61.6	100	100
-61.7	100	100
-61.8	100	100
-61.9	100	100
-62.0	100	100
-62.1	100	100
-62.2	100	100
-62.3	100	100
-62.4	100	100
-62.5	100	100
-62.6	100	100
-62.7	100	100
-62.8	100	100
-62.9	100	100
-63.0	100	100
-63.1	100	100
-63.2	100	100
-63.3	100	100
-63.4	100	100
-63.5	100	100
-63.6	100	100
-63.7	100	100
-63.8	100	100
-63.9	100	100
-64.0	100	100
-64.1	100	100
-64.2	100	100
-64.3	100	100
-64.4	100	100
-64.5	100	100
-64.6	100	100
-64.7	100	100
-64.8	100	100
-64.9	100	100
-65.0	100	100
-65.1	100	100
-65.2	100	100
-65.3	100	100
-65.4	100	100
-65.5	100	100
-65.6	100	100
-65.7	100	100
-65.8	100	100
-65.9	100	100
-66.0	100	100
-66.1	100	100
-66.2	100	100
-66.3	100	100
-66.4	100	100
-66.5	100	100
-66.6	100	100
-66.7	100	100
-66.8	100	100
-66.9	100	100
-67.0	100	100
-67.1	100	100
-67.2	100	100
-67.3	100	100
-67.4	100	100
-67.5	100	100
-67.6	100	100
-67.7	100	100
-67.8	100	100
-67.9	100	100
-68.0	100	100
-68.1	100	100
-68.2	100	100
-68.3	100	100
-68.4	100	100
-68.5	100	100
-68.6	100	100
-68.7	100	100
-68.8	100	100
-68.9	100	100
-69.0	100	100
-69.1	100	100
-69.2	100	100
-69.3	100	100
-69.4	100	100
-69.5	100	100
-69.6	100	100
-69.7	100	100
-69.8	100	100
-69.9	100	100
-70.0	100	100
-70.1	100	100
-70.2	100	100
-70.3	100	100
-70.4	100	100
-70.5	100	100
-70.6	100	100
-70.7	100	100
-70.8	100	100
-70.9	100	100
-71.0	100	100
-71.1	100	100
-71.2	100	100
-71.3	100	100
-71.4	100	100
-71.5	100	100
-71.6	100	100
-71.7	100	100
-71.8	100	100
-71.9	100	100
-72.0	100	100
-72.1	100	100
-72.2	100	100
-72.3	100	100
-72.4	100	100
-72.5	100	100
-72.6	100	100
-72.7	100	100
-72.8	100	100
-72.9	100	100
-73.0	100	100
-73.1	100	100
-73.2	100	100
-73.3	100	100
-73.4	100	100
-73.5	100	100
-73.6	100	100
-73.7	100	100
-73.8	100	100
-73.9	100	100
-74.0	100	100
-74.1	100	100
-74.2	100	100
-74.3	100	100
-74.4	100	100
-74.5	100	100
-74.6	100	100
-74.7	100	100
-74.8	100	100
-74.9	100	100
-75.0	100	100
-75.1	100	100
-75.2	100	100
-75.3	100	100
-75.4	100	100
-75.5	100	100
-75.6	100	100
-75.7	100	100
-75.8	100	100
-75.9	100	100
-76.0	100	100
-76.1	100	100
-76.2	100	100
-76.3	100	100
-76.4	100	100
-76.5	100	100
-76.6	100	100
-76.7	100	100
-76.8	100	100
-76.9	100	100
-77.0	100	100
-77.1	100	100
-77.2	100	100
-77.3	100	100
-77.4	100	100
-77.5	100	100
-77.6	100	100
-77.7	100	100
-77.8	100	100
-77.9	100	100
-78.0	100	100
-78.1	100	100
-78.2	100	100
-78.3	100	100
-78.4	100	100
-78.5	100	100
-78.6	100	100
-78.7	100	100
-78.8	100	100
-78.9	100	100
-79.0	100	100
-79.1	100	100
-79.2	100	100
-79.3	100	100
-79.4	100	100
-79.5	100	100
-79.6	100	100
-79.7	100	100
-79.8	100	100
-79.9	100	100
-80.0	100	100
-80.1	100	100
-80.2	100	100
-80.3	100	100
-80.4	100	100
-80.5	100	100
-80.6	100	100
-80.7	100	100
-80.8	100	100
-80.9	100	100
-81.0	100	100
-81.1	100	100
-81.2	100	100
-81.3	100	100
-81.4	100	100
-81.5	100	100
-81.6	100	100
-81.7	100	100
-81.8	100	100
-81.9	100	100
-82.0	100	100
-82.1	100	100
-82.2	100	100
-82.3	100	100
-82.4	100	100
-82.5	100	100
-82.6	100	100
-82.7	100	100
-82.8	100	100
-82.9	100	100
-83.0	100	100
-83.1	100	100
-83.2	100	100
-83.3	100	100
-83.4	100	100
-83.5	100	100
-83.6	100	100
-83.7	100	100
-83.8	100	100
-83.9	100	100
-84.0	100	100
-84.1	100	100
-84.2	100	100
-84.3	100	100
-84.4	100	100
-84.5	100	100
-84.6	100	100
-84.7	100	100
-84.8	100	100
-84.9	100	100
-85.0	100	100
-85.1	100	100
-85.2	100	100
-85.3	100	100
-85.4	100	100
-85.5	100	100
-85.6	100	100
-85.7	100	100
-85.8	100	100
-85.9	100	100
-86.0	100	100
-86.1	100	100
-86.2	100	100
-86.3	100	100
-86.4	100	100
-86.5	100	100
-86.6	100	100
-86.7	100	100
-86.8	100	100
-86.9	100	100
-87.0	100	100
-87.1	100	100
-87.2	100	100
-87.3	100	100
-87.4	100	100
-87.5	100	100
-87.6	100	100
-87.7	100	100
-87.8	100	100
-87.9	100	100
-88.0	100	100
-88.1	100	100
-88.2	100	100
-88.3	100	100
-88.4	100	100
-88.5	100	100
-88.6	100	100
-88.7	100	100
-88.8	100	100
-88.9	100	100
-89.0	100	100
-89.1	100	100
-89.2	100	100
-89.3	100	100
-89.4	100	100
-89.5	100	100
-89.6	100	100
-89.7	100	100
-89.8	100	100
-89.9	100	100
-90.0	100	100
-90.1	100	100
-90.2	100	100
-90.3	100	100
-90.4	100	100
-90.5	100	100
-90.6	100	100
-90.7	100	100
-90.8	100	100
-90.9	100	100
-91.0	100	100
-91.1	100	100
-91.2	100	100
-91.3	100	100
-91.4	100	100
-91.5	100	100
-91.6	100	100
-91.7	100	100
-91.8	100	100
-91.9	100	100
-92.0	100	100
-92.1	100	100
-92.2	100	100
-92.3	100	100
-92.4	100	100
-92.5	100	100
-92.6	100	100
-92.7	100	100
-92.8	100	100
-92.9	100	100
-93.0	100	100
-93.1	100	100
-93.2	100	100
-93.3	100	100
-93.4	100	100
-93.5	100	100
-93.6	100	100
-93.7	100	100
-93.8	100	100
-93.9	100	100
-94.0	100	100
-94.1	100	100
-94.2	100	100
-94.3	100	100
-94.4	100	100
-94.5	100	100
-94.6	100	100
-94.7	100	100
-94.8	100	100
-94.9	100	100
-95.0	100	100
-95.1	100	100
-95.2	100	100
-95.3	100	100
-95.4	100	100
-95.5	100	100
-95.6	100	100
-95.7	100	100
-95.8	100	100
-95.9	100	100
-96.0	100	100
-96.1	100	100
-96.2	100	100
-96.3	100	100
-96.4	100	100
-96.5	100	100
-96.6	100	100
-96.7	100	100
-96.8	100	100
-96.9	100	100
-97.0	100	100
-97.1	100	100
-97.2	100	100
-97.3	100	100
-97.4	100	100
-97.5	100	100
-97.6	100	100
-97.7	100	100
-97.8	100	100
-97.9	100	100
-98.0	100	100
-98.1	100	100
-98.2	100	100
-98.3	100	100
-98.4	100	100
-98.5	100	100
-98.6	100	100
-98.7	100	100
-98.8	100	100
-98.9	100	100
-99.0	100	100
-99.1	100	100
-99.2	100	100
-99.3	100	100
-99.4	100	100
-99.5	100	100
-99.6	100	100
-99.7	100	100
-99.8	100	100
-99.9	100	100
-100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/IrisU.txt b/tests/resources/analysis_results/ref_reports/IrisU.txt
deleted file mode 100644
index 0bc56439..00000000
--- a/tests/resources/analysis_results/ref_reports/IrisU.txt
+++ /dev/null
@@ -1,1236 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Unsupervised analysis
-Evaluated variables	12
-Informative variables	0
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	100
-Discretization	EqualWidth
-Value grouping	BasicGrouping
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	Class	Categorical				3						Iris-versicolor	37	3.17805			
-R02	Class1	Categorical				2							68	3.17805			IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R03	Class2	Categorical				2							62	3.17805			IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R04	Dummy1	Numerical				1	0	0	0	0	0			3.17805			Copy(0)
-R05	Dummy2	Numerical				99	0.01372010867	0.9853969761	0.5371015665	0.2836682962	0			3.17805			Random()
-R06	LowerPetalLength	Numerical				9	1	3	2.517171717	0.7226550938	0			3.17805			If(LE(PetalLength, 3), PetalLength, 3)
-R07	PetalLength	Numerical				36	1	6.9	3.801010101	1.712137004	0			3.17805			
-R08	PetalWidth	Numerical				20	0.1	2.5	1.218181818	0.749863777	0			3.17805			
-R09	SPetalLength	Categorical				5						4	32	3.17805			AsCategorical(Floor(PetalLength))
-R10	SepalLength	Numerical				30	4.3	7.7	5.848484848	0.8065844732	0			3.17805			
-R11	SepalWidth	Numerical				22	2	4.4	3.042424242	0.4422374035	0			3.17805			
-R12	UpperPetalWidth	Numerical				11	1.5	2.5	1.681818182	0.2962266524	0			3.17805			If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-
-Detailed variable statistics
-
-Rank	R01	Class	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-Cells
-Value group	Frequency
-{Iris-versicolor}	37
-{Iris-setosa}	31
-{Iris-virginica}	31
-
-Input values
-	Iris-versicolor	37
-	Iris-setosa	31
-	Iris-virginica	31
-
-Rank	R02	Class1	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Cells
-Value group	Frequency
-{}	68
-{setosa}	31
-
-Input values
-		68
-	setosa	31
-
-Rank	R03	Class2	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Value group	Frequency
-{}	62
-{versicolor}	37
-
-Input values
-		62
-	versicolor	37
-
-Rank	R05	Dummy2	Numerical
-
-Data grid	Unsupervised
-Dimensions
-Dummy2	Numerical	Intervals
-	]-inf;0.118]	0.01372010867	0.118
-	]0.118;0.207]	0.118	0.207
-	]0.207;0.298]	0.207	0.298
-	]0.298;0.408]	0.298	0.408
-	]0.408;0.504]	0.408	0.504
-	]0.504;0.593]	0.504	0.593
-	]0.593;0.6929]	0.593	0.6929
-	]0.6929;0.793]	0.6929	0.793
-	]0.793;0.8874]	0.793	0.8874
-	]0.8874;+inf[	0.8874	0.9853969761
-Cells
-Interval	Frequency
-]-inf;0.118]	12
-]0.118;0.207]	5
-]0.207;0.298]	8
-]0.298;0.408]	9
-]0.408;0.504]	10
-]0.504;0.593]	6
-]0.593;0.6929]	13
-]0.6929;0.793]	13
-]0.793;0.8874]	11
-]0.8874;+inf[	12
-
-Rank	R06	LowerPetalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;1.2]	1	1.2
-	]1.2;1.45]	1.2	1.45
-	]1.45;1.65]	1.45	1.65
-	]1.65;1.8]	1.65	1.8
-	]1.8;2.4]	1.8	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Interval	Frequency
-]-inf;1.2]	2
-]1.2;1.45]	14
-]1.45;1.65]	11
-]1.65;1.8]	2
-]1.8;2.4]	2
-]2.4;+inf[	68
-
-Rank	R07	PetalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;1.55]	1	1.55
-	]1.55;2.4]	1.55	2.4
-	]2.4;3.25]	2.4	3.25
-	]3.25;3.95]	3.25	3.95
-	]3.95;4.55]	3.95	4.55
-	]4.55;5.15]	4.55	5.15
-	]5.15;5.75]	5.15	5.75
-	]5.75;6.4]	5.75	6.4
-	]6.4;+inf[	6.4	6.9
-Cells
-Interval	Frequency
-]-inf;1.55]	24
-]1.55;2.4]	7
-]2.4;3.25]	1
-]3.25;3.95]	5
-]3.95;4.55]	20
-]4.55;5.15]	21
-]5.15;5.75]	12
-]5.75;6.4]	6
-]6.4;+inf[	3
-
-Rank	R08	PetalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.35]	0.1	0.35
-	]0.35;0.7]	0.35	0.7
-	]0.7;1.05]	0.7	1.05
-	]1.05;1.35]	1.05	1.35
-	]1.35;1.55]	1.35	1.55
-	]1.55;1.75]	1.55	1.75
-	]1.75;2.05]	1.75	2.05
-	]2.05;2.25]	2.05	2.25
-	]2.25;+inf[	2.25	2.5
-Cells
-Interval	Frequency
-]-inf;0.35]	26
-]0.35;0.7]	5
-]0.7;1.05]	4
-]1.05;1.35]	16
-]1.35;1.55]	15
-]1.55;1.75]	3
-]1.75;2.05]	14
-]2.05;2.25]	6
-]2.25;+inf[	10
-
-Rank	R09	SPetalLength	Categorical
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4}	4
-	{1}	1
-	{5}	5
-	{3}	3
-	{6}	6	 * 
-Cells
-Value group	Frequency
-{4}	32
-{1}	31
-{5}	24
-{3}	6
-{6}	6
-
-Input values
-	4	32
-	1	31
-	5	24
-	3	6
-	6	6
-
-Rank	R10	SepalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;4.65]	4.3	4.65
-	]4.65;4.95]	4.65	4.95
-	]4.95;5.3]	4.95	5.3
-	]5.3;5.65]	5.3	5.65
-	]5.65;6.05]	5.65	6.05
-	]6.05;6.35]	6.05	6.35
-	]6.35;6.65]	6.35	6.65
-	]6.65;7.05]	6.65	7.05
-	]7.05;7.45]	7.05	7.45
-	]7.45;+inf[	7.45	7.7
-Cells
-Interval	Frequency
-]-inf;4.65]	8
-]4.65;4.95]	7
-]4.95;5.3]	12
-]5.3;5.65]	13
-]5.65;6.05]	17
-]6.05;6.35]	14
-]6.35;6.65]	10
-]6.65;7.05]	12
-]7.05;7.45]	2
-]7.45;+inf[	4
-
-Rank	R11	SepalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;2.25]	2	2.25
-	]2.25;2.45]	2.25	2.45
-	]2.45;2.75]	2.45	2.75
-	]2.75;2.95]	2.75	2.95
-	]2.95;3.25]	2.95	3.25
-	]3.25;3.45]	3.25	3.45
-	]3.45;3.65]	3.45	3.65
-	]3.65;4]	3.65	4
-	]4;4.15]	4	4.15
-	]4.15;+inf[	4.15	4.4
-Cells
-Interval	Frequency
-]-inf;2.25]	4
-]2.25;2.45]	3
-]2.45;2.75]	15
-]2.75;2.95]	17
-]2.95;3.25]	33
-]3.25;3.45]	12
-]3.45;3.65]	6
-]3.65;4]	6
-]4;4.15]	1
-]4.15;+inf[	2
-
-Rank	R12	UpperPetalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.65]	1.5	1.65
-	]1.65;1.75]	1.65	1.75
-	]1.75;1.85]	1.75	1.85
-	]1.85;1.95]	1.85	1.95
-	]1.95;2.05]	1.95	2.05
-	]2.05;2.15]	2.05	2.15
-	]2.15;2.25]	2.15	2.25
-	]2.25;2.35]	2.25	2.35
-	]2.35;2.45]	2.35	2.45
-	]2.45;+inf[	2.45	2.5
-Cells
-Interval	Frequency
-]-inf;1.65]	68
-]1.65;1.75]	1
-]1.75;1.85]	7
-]1.85;1.95]	4
-]1.95;2.05]	3
-]2.05;2.15]	4
-]2.15;2.25]	2
-]2.25;2.35]	6
-]2.35;2.45]	2
-]2.45;+inf[	2
-
-
-Report	Bivariate preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	99
-Learning task	Unsupervised analysis
-Evaluated variable pairs	55
-Informative variable pairs	39
-
-Variable pair statistics
-Rank	Name 1	Name 2	Level	Variables	Parts 1	Parts 2	Cells	Construction cost	Preparation cost	Data cost
-R01	Class	Class2	0.284761	2	2	2	2	6.71557	18.6815	103.619
-R02	Class	SPetalLength	0.270098	2	3	3	5	6.71557	41.3295	141.497
-R03	Class	Class1	0.268639	2	2	2	2	6.71557	18.7725	103.619
-R04	Class1	SPetalLength	0.217256	2	2	2	2	6.71557	27.08	131.541
-R05	Class2	SPetalLength	0.180347	2	2	2	4	6.71557	27.3671	142.207
-R06	PetalLength	SPetalLength	0.144064	2	5	5	5	6.71557	67.8275	359.134
-R07	Class	PetalLength	0.141345	2	3	3	4	6.71557	30.7159	367.831
-R08	Class	PetalWidth	0.138676	2	3	3	5	6.71557	30.7159	369.091
-R09	PetalWidth	SPetalLength	0.113809	2	3	3	5	6.71557	40.1193	402.171
-R10	Class1	LowerPetalLength	0.104168	2	2	2	2	6.71557	13.5513	359.134
-R11	Class1	PetalLength	0.104168	2	2	2	2	6.71557	13.5513	359.134
-R12	Class1	PetalWidth	0.104168	2	2	2	2	6.71557	13.5513	359.134
-R13	Class	LowerPetalLength	0.0904843	2	2	2	2	6.71557	18.8841	403.668
-R14	LowerPetalLength	SPetalLength	0.081263	2	2	2	2	6.71557	27.1915	431.589
-R15	PetalLength	PetalWidth	0.0768484	2	3	3	4	6.71557	29.5057	627.489
-R16	Class2	PetalLength	0.0755679	2	2	3	4	6.71557	20.5279	367.831
-R17	Class2	PetalWidth	0.0726203	2	2	3	5	6.71557	20.5279	369.091
-R18	Class	UpperPetalWidth	0.0668354	2	2	2	4	6.71557	18.8841	414.829
-R19	PetalWidth	UpperPetalWidth	0.0638378	2	3	3	3	6.71557	29.5057	636.843
-R20	Class1	Class2	0.0617915	2	2	2	3	6.71557	13.4398	103.619
-R21	SPetalLength	SepalLength	0.0603034	2	3	3	5	6.71557	40.0933	429.307
-R22	LowerPetalLength	PetalLength	0.0599177	2	3	3	3	6.71557	29.5057	639.662
-R23	Class1	SepalLength	0.0587558	2	2	2	4	6.71557	13.5513	378.367
-R24	LowerPetalLength	PetalWidth	0.0548016	2	2	2	2	6.71557	13.6629	659.183
-R25	Class	SepalLength	0.0526999	2	3	3	7	6.71557	30.7159	409.669
-R26	SPetalLength	UpperPetalWidth	0.0472362	2	2	2	4	6.71557	27.49	448.531
-R27	PetalLength	SepalLength	0.0390468	2	3	3	5	6.71557	29.5057	654.667
-R28	PetalLength	UpperPetalWidth	0.0369425	2	2	2	3	6.71557	13.6629	672.023
-R29	PetalWidth	SepalLength	0.0328232	2	3	3	8	6.71557	29.5057	659.142
-R30	LowerPetalLength	SepalLength	0.0280508	2	2	2	4	6.71557	13.6629	678.416
-R31	Class1	SepalWidth	0.0171455	2	2	2	4	6.71557	13.5513	395.99
-R32	Class	SepalWidth	0.0123962	2	2	2	4	6.71557	18.8841	440.523
-R33	SPetalLength	SepalWidth	0.00852231	2	2	2	4	6.71557	27.1915	468.445
-R34	Class2	LowerPetalLength	0.00803804	2	2	2	3	6.71557	13.5513	403.668
-R35	SepalLength	UpperPetalWidth	0.00632132	2	2	2	4	6.71557	13.6629	694.038
-R36	LowerPetalLength	SepalWidth	0.00353941	2	2	2	4	6.71557	13.6629	696.038
-R37	PetalLength	SepalWidth	0.00353941	2	2	2	4	6.71557	13.6629	696.038
-R38	PetalWidth	SepalWidth	0.00353941	2	2	2	4	6.71557	13.6629	696.038
-R39	Class1	UpperPetalWidth	0.00191989	2	2	2	3	6.71557	13.5513	402.438
-R40	Class	Dummy2	0	0	1	1	1	0.693147	8.52714	462.753
-R41	Class1	Dummy2	0	0	1	1	1	0.693147	4.60517	418.22
-R42	Class2	Dummy2	0	0	1	1	1	0.693147	4.60517	422.072
-R43	Class2	SepalLength	0	0	1	1	1	0.693147	4.60517	422.072
-R44	Class2	SepalWidth	0	0	1	1	1	0.693147	4.60517	422.072
-R45	Class2	UpperPetalWidth	0	0	1	1	1	0.693147	4.60517	422.072
-R46	Dummy2	LowerPetalLength	0	0	1	1	1	0.693147	0	718.268
-R47	Dummy2	PetalLength	0	0	1	1	1	0.693147	0	718.268
-R48	Dummy2	PetalWidth	0	0	1	1	1	0.693147	0	718.268
-R49	Dummy2	SPetalLength	0	0	1	1	1	0.693147	15.3019	490.675
-R50	Dummy2	SepalLength	0	0	1	1	1	0.693147	0	718.268
-R51	Dummy2	SepalWidth	0	0	1	1	1	0.693147	0	718.268
-R52	Dummy2	UpperPetalWidth	0	0	1	1	1	0.693147	0	718.268
-R53	LowerPetalLength	UpperPetalWidth	0	0	1	1	1	0.693147	0	718.268
-R54	SepalLength	SepalWidth	0	0	1	1	1	0.693147	0	718.268
-R55	SepalWidth	UpperPetalWidth	0	0	1	1	1	0.693147	0	718.268
-
-Detailed variable pair statistics
-
-Rank	R01
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa, Iris-virginica}	Iris-setosa	Iris-virginica	 * 
-	{Iris-versicolor}	Iris-versicolor
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Cell id	Class	Class2	Frequency
-C1	{Iris-setosa, Iris-virginica}	{}	62
-C4	{Iris-versicolor}	{versicolor}	37
-Confusion matrix
-	{Iris-setosa, Iris-virginica}	{Iris-versicolor}
-{}	62	0
-{versicolor}	0	37
-
-Rank	R02
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Cells
-Cell id	Class	SPetalLength	Frequency
-C1	{Iris-versicolor}	{4, 3}	36
-C3	{Iris-virginica}	{4, 3}	2
-C5	{Iris-setosa}	{1}	31
-C7	{Iris-versicolor}	{5, 6}	1
-C9	{Iris-virginica}	{5, 6}	29
-Confusion matrix
-	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}
-{4, 3}	36	0	2
-{1}	0	31	0
-{5, 6}	1	0	29
-
-Rank	R03
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Cells
-Cell id	Class	Class1	Frequency
-C1	{Iris-versicolor, Iris-virginica}	{}	68
-C4	{Iris-setosa}	{setosa}	31
-Confusion matrix
-	{Iris-versicolor, Iris-virginica}	{Iris-setosa}
-{}	68	0
-{setosa}	0	31
-
-Rank	R04
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SPetalLength	Categorical	Value groups
-	{4, 5, 3, ...}	4	5	3	6	 * 
-	{1}	1
-Cells
-Cell id	Class1	SPetalLength	Frequency
-C1	{}	{4, 5, 3, ...}	68
-C4	{setosa}	{1}	31
-Confusion matrix
-	{}	{setosa}
-{4, 5, 3, ...}	68	0
-{1}	0	31
-
-Rank	R05
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-SPetalLength	Categorical	Value groups
-	{1, 5, 6}	1	5	6	 * 
-	{4, 3}	4	3
-Cells
-Cell id	Class2	SPetalLength	Frequency
-C1	{}	{1, 5, 6}	60
-C2	{versicolor}	{1, 5, 6}	1
-C3	{}	{4, 3}	2
-C4	{versicolor}	{4, 3}	36
-Confusion matrix
-	{}	{versicolor}
-{1, 5, 6}	60	1
-{4, 3}	2	36
-
-Rank	R06
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;3.95]	2.4	3.95
-	]3.95;4.95]	3.95	4.95
-	]4.95;5.95]	4.95	5.95
-	]5.95;+inf[	5.95	6.9
-SPetalLength	Categorical	Value groups
-	{4}	4
-	{1}	1
-	{5}	5
-	{3}	3
-	{6}	6	 * 
-Cells
-Cell id	PetalLength	SPetalLength	Frequency
-C3	]3.95;4.95]	{4}	32
-C6	]-inf;2.4]	{1}	31
-C14	]4.95;5.95]	{5}	24
-C17	]2.4;3.95]	{3}	6
-C25	]5.95;+inf[	{6}	6
-Confusion matrix
-	]-inf;2.4]	]2.4;3.95]	]3.95;4.95]	]4.95;5.95]	]5.95;+inf[
-{4}	0	0	32	0	0
-{1}	31	0	0	0	0
-{5}	0	0	0	24	0
-{3}	0	6	0	0	0
-{6}	0	0	0	0	6
-
-Rank	R07
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Cell id	Class	PetalLength	Frequency
-C2	{Iris-setosa}	]-inf;2.4]	31
-C4	{Iris-versicolor}	]2.4;4.85]	34
-C7	{Iris-versicolor}	]4.85;+inf[	3
-C9	{Iris-virginica}	]4.85;+inf[	31
-Confusion matrix
-	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}
-]-inf;2.4]	0	31	0
-]2.4;4.85]	34	0	0
-]4.85;+inf[	3	0	31
-
-Rank	R08
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.75]	0.7	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class	PetalWidth	Frequency
-C2	{Iris-setosa}	]-inf;0.7]	31
-C4	{Iris-versicolor}	]0.7;1.75]	36
-C6	{Iris-virginica}	]0.7;1.75]	2
-C7	{Iris-versicolor}	]1.75;+inf[	1
-C9	{Iris-virginica}	]1.75;+inf[	29
-Confusion matrix
-	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}
-]-inf;0.7]	0	31	0
-]0.7;1.75]	36	0	2
-]1.75;+inf[	1	0	29
-
-Rank	R09
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.65]	0.7	1.65
-	]1.65;+inf[	1.65	2.5
-SPetalLength	Categorical	Value groups
-	{4, 3}	4	3
-	{1}	1
-	{5, 6}	5	6	 * 
-Cells
-Cell id	PetalWidth	SPetalLength	Frequency
-C2	]0.7;1.65]	{4, 3}	35
-C3	]1.65;+inf[	{4, 3}	3
-C4	]-inf;0.7]	{1}	31
-C8	]0.7;1.65]	{5, 6}	2
-C9	]1.65;+inf[	{5, 6}	28
-Confusion matrix
-	]-inf;0.7]	]0.7;1.65]	]1.65;+inf[
-{4, 3}	0	35	3
-{1}	31	0	0
-{5, 6}	0	2	28
-
-Rank	R10
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class1	LowerPetalLength	Frequency
-C2	{setosa}	]-inf;2.4]	31
-C3	{}	]2.4;+inf[	68
-Confusion matrix
-	{}	{setosa}
-]-inf;2.4]	0	31
-]2.4;+inf[	68	0
-
-Rank	R11
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Cell id	Class1	PetalLength	Frequency
-C2	{setosa}	]-inf;2.4]	31
-C3	{}	]2.4;+inf[	68
-Confusion matrix
-	{}	{setosa}
-]-inf;2.4]	0	31
-]2.4;+inf[	68	0
-
-Rank	R12
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;+inf[	0.7	2.5
-Cells
-Cell id	Class1	PetalWidth	Frequency
-C2	{setosa}	]-inf;0.7]	31
-C3	{}	]0.7;+inf[	68
-Confusion matrix
-	{}	{setosa}
-]-inf;0.7]	0	31
-]0.7;+inf[	68	0
-
-Rank	R13
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class	LowerPetalLength	Frequency
-C2	{Iris-setosa}	]-inf;2.4]	31
-C3	{Iris-versicolor, Iris-virginica}	]2.4;+inf[	68
-Confusion matrix
-	{Iris-versicolor, Iris-virginica}	{Iris-setosa}
-]-inf;2.4]	0	31
-]2.4;+inf[	68	0
-
-Rank	R14
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SPetalLength	Categorical	Value groups
-	{4, 5, 3, ...}	4	5	3	6	 * 
-	{1}	1
-Cells
-Cell id	LowerPetalLength	SPetalLength	Frequency
-C2	]2.4;+inf[	{4, 5, 3, ...}	68
-C3	]-inf;2.4]	{1}	31
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-{4, 5, 3, ...}	0	68
-{1}	31	0
-
-Rank	R15
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.75]	2.4	4.75
-	]4.75;+inf[	4.75	6.9
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.65]	0.7	1.65
-	]1.65;+inf[	1.65	2.5
-Cells
-Cell id	PetalLength	PetalWidth	Frequency
-C1	]-inf;2.4]	]-inf;0.7]	31
-C5	]2.4;4.75]	]0.7;1.65]	32
-C6	]4.75;+inf[	]0.7;1.65]	5
-C9	]4.75;+inf[	]1.65;+inf[	31
-Confusion matrix
-	]-inf;2.4]	]2.4;4.75]	]4.75;+inf[
-]-inf;0.7]	31	0	0
-]0.7;1.65]	0	32	5
-]1.65;+inf[	0	0	31
-
-Rank	R16
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Cell id	Class2	PetalLength	Frequency
-C1	{}	]-inf;2.4]	31
-C4	{versicolor}	]2.4;4.85]	34
-C5	{}	]4.85;+inf[	31
-C6	{versicolor}	]4.85;+inf[	3
-Confusion matrix
-	{}	{versicolor}
-]-inf;2.4]	31	0
-]2.4;4.85]	0	34
-]4.85;+inf[	31	3
-
-Rank	R17
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.75]	0.7	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class2	PetalWidth	Frequency
-C1	{}	]-inf;0.7]	31
-C3	{}	]0.7;1.75]	2
-C4	{versicolor}	]0.7;1.75]	36
-C5	{}	]1.75;+inf[	29
-C6	{versicolor}	]1.75;+inf[	1
-Confusion matrix
-	{}	{versicolor}
-]-inf;0.7]	31	0
-]0.7;1.75]	2	36
-]1.75;+inf[	29	1
-
-Rank	R18
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-setosa}	Iris-versicolor	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.75]	1.5	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class	UpperPetalWidth	Frequency
-C1	{Iris-versicolor, Iris-setosa}	]-inf;1.75]	67
-C2	{Iris-virginica}	]-inf;1.75]	2
-C3	{Iris-versicolor, Iris-setosa}	]1.75;+inf[	1
-C4	{Iris-virginica}	]1.75;+inf[	29
-Confusion matrix
-	{Iris-versicolor, Iris-setosa}	{Iris-virginica}
-]-inf;1.75]	67	2
-]1.75;+inf[	1	29
-
-Rank	R19
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;1.55]	0.1	1.55
-	]1.55;2.05]	1.55	2.05
-	]2.05;+inf[	2.05	2.5
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;2.05]	1.55	2.05
-	]2.05;+inf[	2.05	2.5
-Cells
-Cell id	PetalWidth	UpperPetalWidth	Frequency
-C1	]-inf;1.55]	]-inf;1.55]	66
-C5	]1.55;2.05]	]1.55;2.05]	17
-C9	]2.05;+inf[	]2.05;+inf[	16
-Confusion matrix
-	]-inf;1.55]	]1.55;2.05]	]2.05;+inf[
-]-inf;1.55]	66	0	0
-]1.55;2.05]	0	17	0
-]2.05;+inf[	0	0	16
-
-Rank	R20
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Cell id	Class1	Class2	Frequency
-C1	{}	{}	31
-C2	{setosa}	{}	31
-C3	{}	{versicolor}	37
-Confusion matrix
-	{}	{setosa}
-{}	31	31
-{versicolor}	37	0
-
-Rank	R21
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{1, 3}	1	3
-	{4}	4
-	{5, 6}	5	6	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.75]	5.45	5.75
-	]5.75;+inf[	5.75	7.7
-Cells
-Cell id	SPetalLength	SepalLength	Frequency
-C1	{1, 3}	]-inf;5.45]	31
-C4	{1, 3}	]5.45;5.75]	6
-C5	{4}	]5.45;5.75]	10
-C8	{4}	]5.75;+inf[	22
-C9	{5, 6}	]5.75;+inf[	30
-Confusion matrix
-	{1, 3}	{4}	{5, 6}
-]-inf;5.45]	31	0	0
-]5.45;5.75]	6	10	0
-]5.75;+inf[	0	22	30
-
-Rank	R22
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	3
-PetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Cell id	LowerPetalLength	PetalLength	Frequency
-C1	]-inf;1.45]	]-inf;1.45]	16
-C5	]1.45;2.4]	]1.45;2.4]	15
-C9	]2.4;+inf[	]2.4;+inf[	68
-Confusion matrix
-	]-inf;1.45]	]1.45;2.4]	]2.4;+inf[
-]-inf;1.45]	16	0	0
-]1.45;2.4]	0	15	0
-]2.4;+inf[	0	0	68
-
-Rank	R23
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;+inf[	5.45	7.7
-Cells
-Cell id	Class1	SepalLength	Frequency
-C1	{}	]-inf;5.45]	3
-C2	{setosa}	]-inf;5.45]	28
-C3	{}	]5.45;+inf[	65
-C4	{setosa}	]5.45;+inf[	3
-Confusion matrix
-	{}	{setosa}
-]-inf;5.45]	3	28
-]5.45;+inf[	65	3
-
-Rank	R24
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;+inf[	0.7	2.5
-Cells
-Cell id	LowerPetalLength	PetalWidth	Frequency
-C1	]-inf;2.4]	]-inf;0.7]	31
-C4	]2.4;+inf[	]0.7;+inf[	68
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;0.7]	31	0
-]0.7;+inf[	0	68
-
-Rank	R25
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor}	Iris-versicolor
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.75]	5.45	5.75
-	]5.75;+inf[	5.75	7.7
-Cells
-Cell id	Class	SepalLength	Frequency
-C1	{Iris-versicolor}	]-inf;5.45]	3
-C2	{Iris-setosa}	]-inf;5.45]	28
-C4	{Iris-versicolor}	]5.45;5.75]	12
-C5	{Iris-setosa}	]5.45;5.75]	3
-C6	{Iris-virginica}	]5.45;5.75]	1
-C7	{Iris-versicolor}	]5.75;+inf[	22
-C9	{Iris-virginica}	]5.75;+inf[	30
-Confusion matrix
-	{Iris-versicolor}	{Iris-setosa}	{Iris-virginica}
-]-inf;5.45]	3	28	0
-]5.45;5.75]	12	3	1
-]5.75;+inf[	22	0	30
-
-Rank	R26
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 1, 3}	4	1	3
-	{5, 6}	5	6	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.65]	1.5	1.65
-	]1.65;+inf[	1.65	2.5
-Cells
-Cell id	SPetalLength	UpperPetalWidth	Frequency
-C1	{4, 1, 3}	]-inf;1.65]	66
-C2	{5, 6}	]-inf;1.65]	2
-C3	{4, 1, 3}	]1.65;+inf[	3
-C4	{5, 6}	]1.65;+inf[	28
-Confusion matrix
-	{4, 1, 3}	{5, 6}
-]-inf;1.65]	66	2
-]1.65;+inf[	3	28
-
-Rank	R27
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;3.95]	1	3.95
-	]3.95;5.15]	3.95	5.15
-	]5.15;+inf[	5.15	6.9
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;6.15]	5.45	6.15
-	]6.15;+inf[	6.15	7.7
-Cells
-Cell id	PetalLength	SepalLength	Frequency
-C1	]-inf;3.95]	]-inf;5.45]	31
-C4	]-inf;3.95]	]5.45;6.15]	6
-C5	]3.95;5.15]	]5.45;6.15]	25
-C8	]3.95;5.15]	]6.15;+inf[	16
-C9	]5.15;+inf[	]6.15;+inf[	21
-Confusion matrix
-	]-inf;3.95]	]3.95;5.15]	]5.15;+inf[
-]-inf;5.45]	31	0	0
-]5.45;6.15]	6	25	0
-]6.15;+inf[	0	16	21
-
-Rank	R28
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;4.75]	1	4.75
-	]4.75;+inf[	4.75	6.9
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.65]	1.5	1.65
-	]1.65;+inf[	1.65	2.5
-Cells
-Cell id	PetalLength	UpperPetalWidth	Frequency
-C1	]-inf;4.75]	]-inf;1.65]	63
-C2	]4.75;+inf[	]-inf;1.65]	5
-C4	]4.75;+inf[	]1.65;+inf[	31
-Confusion matrix
-	]-inf;4.75]	]4.75;+inf[
-]-inf;1.65]	63	5
-]1.65;+inf[	0	31
-
-Rank	R29
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;1.35]	0.7	1.35
-	]1.35;+inf[	1.35	2.5
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.75]	5.45	5.75
-	]5.75;+inf[	5.75	7.7
-Cells
-Cell id	PetalWidth	SepalLength	Frequency
-C1	]-inf;0.7]	]-inf;5.45]	28
-C2	]0.7;1.35]	]-inf;5.45]	2
-C3	]1.35;+inf[	]-inf;5.45]	1
-C4	]-inf;0.7]	]5.45;5.75]	3
-C5	]0.7;1.35]	]5.45;5.75]	11
-C6	]1.35;+inf[	]5.45;5.75]	2
-C8	]0.7;1.35]	]5.75;+inf[	7
-C9	]1.35;+inf[	]5.75;+inf[	45
-Confusion matrix
-	]-inf;0.7]	]0.7;1.35]	]1.35;+inf[
-]-inf;5.45]	28	2	1
-]5.45;5.75]	3	11	2
-]5.75;+inf[	0	7	45
-
-Rank	R30
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;+inf[	5.45	7.7
-Cells
-Cell id	LowerPetalLength	SepalLength	Frequency
-C1	]-inf;2.4]	]-inf;5.45]	28
-C2	]2.4;+inf[	]-inf;5.45]	3
-C3	]-inf;2.4]	]5.45;+inf[	3
-C4	]2.4;+inf[	]5.45;+inf[	65
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;5.45]	28	3
-]5.45;+inf[	3	65
-
-Rank	R31
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	Class1	SepalWidth	Frequency
-C1	{}	]-inf;3.35]	65
-C2	{setosa}	]-inf;3.35]	11
-C3	{}	]3.35;+inf[	3
-C4	{setosa}	]3.35;+inf[	20
-Confusion matrix
-	{}	{setosa}
-]-inf;3.35]	65	11
-]3.35;+inf[	3	20
-
-Rank	R32
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-versicolor, Iris-virginica}	Iris-versicolor	Iris-virginica	 * 
-	{Iris-setosa}	Iris-setosa
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	Class	SepalWidth	Frequency
-C1	{Iris-versicolor, Iris-virginica}	]-inf;3.35]	65
-C2	{Iris-setosa}	]-inf;3.35]	11
-C3	{Iris-versicolor, Iris-virginica}	]3.35;+inf[	3
-C4	{Iris-setosa}	]3.35;+inf[	20
-Confusion matrix
-	{Iris-versicolor, Iris-virginica}	{Iris-setosa}
-]-inf;3.35]	65	11
-]3.35;+inf[	3	20
-
-Rank	R33
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 5, 3, ...}	4	5	3	6	 * 
-	{1}	1
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	SPetalLength	SepalWidth	Frequency
-C1	{4, 5, 3, ...}	]-inf;3.35]	65
-C2	{1}	]-inf;3.35]	11
-C3	{4, 5, 3, ...}	]3.35;+inf[	3
-C4	{1}	]3.35;+inf[	20
-Confusion matrix
-	{4, 5, 3, ...}	{1}
-]-inf;3.35]	65	11
-]3.35;+inf[	3	20
-
-Rank	R34
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class2	LowerPetalLength	Frequency
-C1	{}	]-inf;2.4]	31
-C3	{}	]2.4;+inf[	31
-C4	{versicolor}	]2.4;+inf[	37
-Confusion matrix
-	{}	{versicolor}
-]-inf;2.4]	31	0
-]2.4;+inf[	31	37
-
-Rank	R35
-
-Data grid	Unsupervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.75]	4.3	5.75
-	]5.75;+inf[	5.75	7.7
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	SepalLength	UpperPetalWidth	Frequency
-C1	]-inf;5.75]	]-inf;1.55]	46
-C2	]5.75;+inf[	]-inf;1.55]	20
-C3	]-inf;5.75]	]1.55;+inf[	1
-C4	]5.75;+inf[	]1.55;+inf[	32
-Confusion matrix
-	]-inf;5.75]	]5.75;+inf[
-]-inf;1.55]	46	20
-]1.55;+inf[	1	32
-
-Rank	R36
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	LowerPetalLength	SepalWidth	Frequency
-C1	]-inf;2.4]	]-inf;3.35]	11
-C2	]2.4;+inf[	]-inf;3.35]	65
-C3	]-inf;2.4]	]3.35;+inf[	20
-C4	]2.4;+inf[	]3.35;+inf[	3
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;3.35]	11	65
-]3.35;+inf[	20	3
-
-Rank	R37
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	6.9
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	PetalLength	SepalWidth	Frequency
-C1	]-inf;2.4]	]-inf;3.35]	11
-C2	]2.4;+inf[	]-inf;3.35]	65
-C3	]-inf;2.4]	]3.35;+inf[	20
-C4	]2.4;+inf[	]3.35;+inf[	3
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;3.35]	11	65
-]3.35;+inf[	20	3
-
-Rank	R38
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.7]	0.1	0.7
-	]0.7;+inf[	0.7	2.5
-SepalWidth	Numerical	Intervals
-	]-inf;3.35]	2	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	PetalWidth	SepalWidth	Frequency
-C1	]-inf;0.7]	]-inf;3.35]	11
-C2	]0.7;+inf[	]-inf;3.35]	65
-C3	]-inf;0.7]	]3.35;+inf[	20
-C4	]0.7;+inf[	]3.35;+inf[	3
-Confusion matrix
-	]-inf;0.7]	]0.7;+inf[
-]-inf;3.35]	11	65
-]3.35;+inf[	20	3
-
-Rank	R39
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	Class1	UpperPetalWidth	Frequency
-C1	{}	]-inf;1.55]	35
-C2	{setosa}	]-inf;1.55]	31
-C3	{}	]1.55;+inf[	33
-Confusion matrix
-	{}	{setosa}
-]-inf;1.55]	35	31
-]1.55;+inf[	33	0
diff --git a/tests/resources/analysis_results/ref_reports/IrisU2D.txt b/tests/resources/analysis_results/ref_reports/IrisU2D.txt
deleted file mode 100644
index 7600a3c3..00000000
--- a/tests/resources/analysis_results/ref_reports/IrisU2D.txt
+++ /dev/null
@@ -1,1159 +0,0 @@
-Tool	Khiops
-Version	10.5.0-a1
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	105
-Learning task	Unsupervised analysis
-Evaluated variables	12
-Informative variables	0
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	100
-Discretization	MODL
-Value grouping	MODL
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	Class	Categorical			3	3						Iris-setosa	38	3.17805			
-R02	Class1	Categorical			2	2							67	3.17805			IfC(EQc(Class, "Iris-setosa"), "setosa", "")
-R03	Class2	Categorical			2	2							73	3.17805			IfC(EQc(Class, "Iris-versicolor"), "versicolor", "")
-R04	Dummy1	Numerical			1	1	0	0	0	0	0			3.17805			Copy(0)
-R05	Dummy2	Numerical			1	105	0.005121241265	0.9859650261	0.5173966838	0.2650019122	0			3.17805			Random()
-R06	LowerPetalLength	Numerical			4	10	1	3	2.446666667	0.7433600251	0			3.17805			If(LE(PetalLength, 3), PetalLength, 3)
-R07	PetalLength	Numerical			5	36	1	6.9	3.686666667	1.80132579	0			3.17805			
-R08	PetalWidth	Numerical			5	21	0.1	2.5	1.175238095	0.7880996979	0			3.17805			
-R09	SPetalLength	Categorical			5	5						1	38	3.17805			AsCategorical(Floor(PetalLength))
-R10	SepalLength	Numerical			2	31	4.3	7.7	5.827619048	0.8375127846	0			3.17805			
-R11	SepalWidth	Numerical			3	23	2	4.4	3.081904762	0.4284592446	0			3.17805			
-R12	UpperPetalWidth	Numerical			2	11	1.5	2.5	1.692380952	0.2962287527	0			3.17805			If(GE(PetalWidth, 1.5), PetalWidth, 1.5)
-
-Detailed variable statistics
-
-Rank	R01	Class	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-Cells
-Value group	Frequency
-{Iris-setosa}	38
-{Iris-virginica}	35
-{Iris-versicolor}	32
-
-Input values
-	Iris-setosa	38
-	Iris-virginica	35
-	Iris-versicolor	32
-
-Rank	R02	Class1	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Cells
-Value group	Frequency
-{}	67
-{setosa}	38
-
-Input values
-		67
-	setosa	38
-
-Rank	R03	Class2	Categorical
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Value group	Frequency
-{}	73
-{versicolor}	32
-
-Input values
-		73
-	versicolor	32
-
-Rank	R05	Dummy2	Numerical
-
-Data grid	Unsupervised
-Dimensions
-Dummy2	Numerical	Intervals
-	]-inf;+inf[	0.00390625	1
-Cells
-Interval	Frequency
-]-inf;+inf[	105
-
-Rank	R06	LowerPetalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;1.25]	0.95	1.25
-	]1.25;1.75]	1.25	1.75
-	]1.75;2.95]	1.75	2.95
-	]2.95;+inf[	2.95	3.05
-Cells
-Interval	Frequency
-]-inf;1.25]	4
-]1.25;1.75]	32
-]1.75;2.95]	2
-]2.95;+inf[	67
-
-Rank	R07	PetalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;1.25]	0.95	1.25
-	]1.25;1.75]	1.25	1.75
-	]1.75;3.85]	1.75	3.85
-	]3.85;6.15]	3.85	6.15
-	]6.15;+inf[	6.15	6.95
-Cells
-Interval	Frequency
-]-inf;1.25]	4
-]1.25;1.75]	32
-]1.75;3.85]	7
-]3.85;6.15]	59
-]6.15;+inf[	3
-
-Rank	R08	PetalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.15]	0.05	0.15
-	]0.15;0.25]	0.15	0.25
-	]0.25;0.45]	0.25	0.45
-	]0.45;0.85]	0.45	0.85
-	]0.85;+inf[	0.85	2.55
-Cells
-Interval	Frequency
-]-inf;0.15]	6
-]0.15;0.25]	20
-]0.25;0.45]	11
-]0.45;0.85]	1
-]0.85;+inf[	67
-
-Rank	R09	SPetalLength	Categorical
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{1}	1
-	{5}	5
-	{4}	4
-	{3}	3
-	{6}	6	 * 
-Cells
-Value group	Frequency
-{1}	38
-{5}	27
-{4}	25
-{3}	8
-{6}	7
-
-Input values
-	1	38
-	5	27
-	4	25
-	3	8
-	6	7
-
-Rank	R10	SepalLength	Numerical
-
-Data grid	Unsupervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;7]	4.25	7
-	]7;+inf[	7	7.75
-Cells
-Interval	Frequency
-]-inf;7]	97
-]7;+inf[	8
-
-Rank	R11	SepalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;2.45]	1.95	2.45
-	]2.45;3.25]	2.45	3.25
-	]3.25;+inf[	3.25	4.45
-Cells
-Interval	Frequency
-]-inf;2.45]	5
-]2.45;3.25]	72
-]3.25;+inf[	28
-
-Rank	R12	UpperPetalWidth	Numerical
-
-Data grid	Unsupervised
-Dimensions
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.45	1.55
-	]1.55;+inf[	1.55	2.55
-Cells
-Interval	Frequency
-]-inf;1.55]	67
-]1.55;+inf[	38
-
-
-Report	Bivariate preparation
-
-Dictionary	Iris
-Variables
-	Categorical	4
-	Numerical	8
-	Total	12
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	105
-Learning task	Unsupervised analysis
-Evaluated variable pairs	55
-Informative variable pairs	38
-
-Variable pair statistics
-Rank	Name 1	Name 2	Level	Variables	Parts 1	Parts 2	Cells	Construction cost	Preparation cost	Data cost
-R01	Class	Class1	0.286471	2	2	2	2	6.71557	18.9311	110.25
-R02	Class	Class2	0.270234	2	2	2	2	6.71557	19.0156	110.25
-R03	Class	SPetalLength	0.258511	2	3	3	5	6.71557	41.7647	157.188
-R04	Class1	SPetalLength	0.231831	2	2	2	2	6.71557	27.2099	142.253
-R05	PetalLength	SPetalLength	0.151582	2	5	5	5	6.71557	69.091	386.913
-R06	Class2	SPetalLength	0.142436	2	2	2	4	6.71557	27.7273	158.704
-R07	Class	PetalWidth	0.14197	2	3	3	5	6.71557	31.1679	396.708
-R08	Class	PetalLength	0.136908	2	3	3	5	6.71557	31.1679	399.272
-R09	Class1	LowerPetalLength	0.111506	2	2	2	2	6.71557	13.7255	386.913
-R10	Class1	PetalLength	0.111506	2	2	2	2	6.71557	13.7255	386.913
-R11	Class1	PetalWidth	0.111506	2	2	2	2	6.71557	13.7255	386.913
-R12	PetalWidth	SPetalLength	0.109807	2	3	3	5	6.71557	40.5555	438.232
-R13	Class	LowerPetalLength	0.0982915	2	2	2	2	6.71557	19.0436	430.955
-R14	LowerPetalLength	SPetalLength	0.0887331	2	2	2	2	6.71557	27.3225	462.959
-R15	PetalLength	PetalWidth	0.0785935	2	3	3	4	6.71557	29.9587	676.972
-R16	Class	UpperPetalWidth	0.0721164	2	2	2	4	6.71557	19.0868	444.17
-R17	PetalWidth	UpperPetalWidth	0.0703191	2	3	3	3	6.71557	29.9587	683.381
-R18	LowerPetalLength	PetalLength	0.0701201	2	3	3	3	6.71557	29.9587	683.535
-R19	Class2	PetalWidth	0.0662843	2	2	3	5	6.71557	20.8147	396.708
-R20	SPetalLength	SepalLength	0.0654694	2	3	4	5	6.71557	49.4973	453.472
-R21	Class2	PetalLength	0.0606416	2	2	3	5	6.71557	20.8147	399.272
-R22	LowerPetalLength	PetalWidth	0.0598398	2	2	2	2	6.71557	13.838	707.618
-R23	Class	SepalLength	0.059526	2	3	3	7	6.71557	31.1679	438.466
-R24	Class1	Class2	0.0559199	2	2	2	3	6.71557	13.6129	110.25
-R25	Class1	SepalLength	0.0531576	2	2	2	4	6.71557	13.7255	413.664
-R26	SPetalLength	UpperPetalWidth	0.0466723	2	3	2	5	6.71557	31.8478	481.373
-R27	PetalLength	SepalLength	0.0407398	2	4	4	8	6.71557	47.7303	688.519
-R28	PetalLength	UpperPetalWidth	0.0401281	2	2	2	3	6.71557	13.838	722.885
-R29	PetalWidth	SepalLength	0.0303985	2	3	3	8	6.71557	29.9587	714.3
-R30	LowerPetalLength	SepalLength	0.0253003	2	2	2	4	6.71557	13.838	734.369
-R31	Class1	UpperPetalWidth	0.0166012	2	2	2	3	6.71557	13.7255	430.424
-R32	SepalLength	UpperPetalWidth	0.0164148	2	2	2	4	6.71557	13.838	741.251
-R33	Class1	SepalWidth	0.00749643	2	2	3	5	6.71557	20.8147	427.509
-R34	Class2	LowerPetalLength	0.0065114	2	2	2	3	6.71557	13.7255	430.955
-R35	Class	SepalWidth	0.00543684	2	3	2	6	6.71557	22.1365	474.893
-R36	LowerPetalLength	UpperPetalWidth	0.00366071	2	2	2	3	6.71557	13.838	751.129
-R37	PetalWidth	SepalWidth	0.00221737	2	3	2	6	6.71557	20.9273	745.158
-R38	SPetalLength	SepalWidth	0.00143264	2	3	3	9	6.71557	40.2319	497.662
-R39	Class	Dummy2	0	0	1	1	1	0.693147	8.64312	497.163
-R40	Class1	Dummy2	0	0	1	1	1	0.693147	4.66344	453.12
-R41	Class2	Dummy2	0	0	1	1	1	0.693147	4.66344	448.998
-R42	Class2	SepalLength	0	0	1	1	1	0.693147	4.66344	448.998
-R43	Class2	SepalWidth	0	0	1	1	1	0.693147	4.66344	448.998
-R44	Class2	UpperPetalWidth	0	0	1	1	1	0.693147	4.66344	448.998
-R45	Dummy2	LowerPetalLength	0	0	1	1	1	0.693147	0	773.825
-R46	Dummy2	PetalLength	0	0	1	1	1	0.693147	0	773.825
-R47	Dummy2	PetalWidth	0	0	1	1	1	0.693147	0	773.825
-R48	Dummy2	SPetalLength	0	0	1	1	1	0.693147	15.5317	529.166
-R49	Dummy2	SepalLength	0	0	1	1	1	0.693147	0	773.825
-R50	Dummy2	SepalWidth	0	0	1	1	1	0.693147	0	773.825
-R51	Dummy2	UpperPetalWidth	0	0	1	1	1	0.693147	0	773.825
-R52	LowerPetalLength	SepalWidth	0	0	1	1	1	0.693147	0	773.825
-R53	PetalLength	SepalWidth	0	0	1	1	1	0.693147	0	773.825
-R54	SepalLength	SepalWidth	0	0	1	1	1	0.693147	0	773.825
-R55	SepalWidth	UpperPetalWidth	0	0	1	1	1	0.693147	0	773.825
-
-Detailed variable pair statistics
-
-Rank	R01
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-virginica, Iris-versicolor}	Iris-virginica	Iris-versicolor	 * 
-	{Iris-setosa}	Iris-setosa
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Cells
-Cell id	Class	Class1	Frequency
-C1	{Iris-virginica, Iris-versicolor}	{}	67
-C4	{Iris-setosa}	{setosa}	38
-Confusion matrix
-	{Iris-virginica, Iris-versicolor}	{Iris-setosa}
-{}	67	0
-{setosa}	0	38
-
-Rank	R02
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa, Iris-virginica}	Iris-setosa	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Cell id	Class	Class2	Frequency
-C1	{Iris-setosa, Iris-virginica}	{}	73
-C4	{Iris-versicolor}	{versicolor}	32
-Confusion matrix
-	{Iris-setosa, Iris-virginica}	{Iris-versicolor}
-{}	73	0
-{versicolor}	0	32
-
-Rank	R03
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-SPetalLength	Categorical	Value groups
-	{1}	1
-	{5, 6}	5	6	 * 
-	{4, 3}	4	3
-Cells
-Cell id	Class	SPetalLength	Frequency
-C1	{Iris-setosa}	{1}	38
-C5	{Iris-virginica}	{5, 6}	32
-C6	{Iris-versicolor}	{5, 6}	2
-C8	{Iris-virginica}	{4, 3}	3
-C9	{Iris-versicolor}	{4, 3}	30
-Confusion matrix
-	{Iris-setosa}	{Iris-virginica}	{Iris-versicolor}
-{1}	38	0	0
-{5, 6}	0	32	2
-{4, 3}	0	3	30
-
-Rank	R04
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SPetalLength	Categorical	Value groups
-	{5, 4, 3, ...}	5	4	3	6	 * 
-	{1}	1
-Cells
-Cell id	Class1	SPetalLength	Frequency
-C1	{}	{5, 4, 3, ...}	67
-C4	{setosa}	{1}	38
-Confusion matrix
-	{}	{setosa}
-{5, 4, 3, ...}	67	0
-{1}	0	38
-
-Rank	R05
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;3.95]	2.4	3.95
-	]3.95;4.95]	3.95	4.95
-	]4.95;5.95]	4.95	5.95
-	]5.95;+inf[	5.95	6.9
-SPetalLength	Categorical	Value groups
-	{1}	1
-	{5}	5
-	{4}	4
-	{3}	3
-	{6}	6	 * 
-Cells
-Cell id	PetalLength	SPetalLength	Frequency
-C1	]-inf;2.4]	{1}	38
-C9	]4.95;5.95]	{5}	27
-C13	]3.95;4.95]	{4}	25
-C17	]2.4;3.95]	{3}	8
-C25	]5.95;+inf[	{6}	7
-Confusion matrix
-	]-inf;2.4]	]2.4;3.95]	]3.95;4.95]	]4.95;5.95]	]5.95;+inf[
-{1}	38	0	0	0	0
-{5}	0	0	0	27	0
-{4}	0	0	25	0	0
-{3}	0	8	0	0	0
-{6}	0	0	0	0	7
-
-Rank	R06
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-SPetalLength	Categorical	Value groups
-	{1, 5, 6}	1	5	6	 * 
-	{4, 3}	4	3
-Cells
-Cell id	Class2	SPetalLength	Frequency
-C1	{}	{1, 5, 6}	70
-C2	{versicolor}	{1, 5, 6}	2
-C3	{}	{4, 3}	3
-C4	{versicolor}	{4, 3}	30
-Confusion matrix
-	{}	{versicolor}
-{1, 5, 6}	70	2
-{4, 3}	3	30
-
-Rank	R07
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.75]	0.75	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class	PetalWidth	Frequency
-C1	{Iris-setosa}	]-inf;0.75]	38
-C5	{Iris-virginica}	]0.75;1.75]	2
-C6	{Iris-versicolor}	]0.75;1.75]	31
-C8	{Iris-virginica}	]1.75;+inf[	33
-C9	{Iris-versicolor}	]1.75;+inf[	1
-Confusion matrix
-	{Iris-setosa}	{Iris-virginica}	{Iris-versicolor}
-]-inf;0.75]	38	0	0
-]0.75;1.75]	0	2	31
-]1.75;+inf[	0	33	1
-
-Rank	R08
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Cell id	Class	PetalLength	Frequency
-C1	{Iris-setosa}	]-inf;2.4]	38
-C5	{Iris-virginica}	]2.4;4.85]	1
-C6	{Iris-versicolor}	]2.4;4.85]	29
-C8	{Iris-virginica}	]4.85;+inf[	34
-C9	{Iris-versicolor}	]4.85;+inf[	3
-Confusion matrix
-	{Iris-setosa}	{Iris-virginica}	{Iris-versicolor}
-]-inf;2.4]	38	0	0
-]2.4;4.85]	0	1	29
-]4.85;+inf[	0	34	3
-
-Rank	R09
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class1	LowerPetalLength	Frequency
-C2	{setosa}	]-inf;2.4]	38
-C3	{}	]2.4;+inf[	67
-Confusion matrix
-	{}	{setosa}
-]-inf;2.4]	0	38
-]2.4;+inf[	67	0
-
-Rank	R10
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Cell id	Class1	PetalLength	Frequency
-C2	{setosa}	]-inf;2.4]	38
-C3	{}	]2.4;+inf[	67
-Confusion matrix
-	{}	{setosa}
-]-inf;2.4]	0	38
-]2.4;+inf[	67	0
-
-Rank	R11
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;+inf[	0.75	2.5
-Cells
-Cell id	Class1	PetalWidth	Frequency
-C2	{setosa}	]-inf;0.75]	38
-C3	{}	]0.75;+inf[	67
-Confusion matrix
-	{}	{setosa}
-]-inf;0.75]	0	38
-]0.75;+inf[	67	0
-
-Rank	R12
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.65]	0.75	1.65
-	]1.65;+inf[	1.65	2.5
-SPetalLength	Categorical	Value groups
-	{1}	1
-	{5, 6}	5	6	 * 
-	{4, 3}	4	3
-Cells
-Cell id	PetalWidth	SPetalLength	Frequency
-C1	]-inf;0.75]	{1}	38
-C5	]0.75;1.65]	{5, 6}	3
-C6	]1.65;+inf[	{5, 6}	31
-C8	]0.75;1.65]	{4, 3}	29
-C9	]1.65;+inf[	{4, 3}	4
-Confusion matrix
-	]-inf;0.75]	]0.75;1.65]	]1.65;+inf[
-{1}	38	0	0
-{5, 6}	0	3	31
-{4, 3}	0	29	4
-
-Rank	R13
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-virginica, Iris-versicolor}	Iris-virginica	Iris-versicolor	 * 
-	{Iris-setosa}	Iris-setosa
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class	LowerPetalLength	Frequency
-C2	{Iris-setosa}	]-inf;2.4]	38
-C3	{Iris-virginica, Iris-versicolor}	]2.4;+inf[	67
-Confusion matrix
-	{Iris-virginica, Iris-versicolor}	{Iris-setosa}
-]-inf;2.4]	0	38
-]2.4;+inf[	67	0
-
-Rank	R14
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SPetalLength	Categorical	Value groups
-	{5, 4, 3, ...}	5	4	3	6	 * 
-	{1}	1
-Cells
-Cell id	LowerPetalLength	SPetalLength	Frequency
-C2	]2.4;+inf[	{5, 4, 3, ...}	67
-C3	]-inf;2.4]	{1}	38
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-{5, 4, 3, ...}	0	67
-{1}	38	0
-
-Rank	R15
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.75]	2.4	4.75
-	]4.75;+inf[	4.75	6.9
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.65]	0.75	1.65
-	]1.65;+inf[	1.65	2.5
-Cells
-Cell id	PetalLength	PetalWidth	Frequency
-C1	]-inf;2.4]	]-inf;0.75]	38
-C5	]2.4;4.75]	]0.75;1.65]	27
-C6	]4.75;+inf[	]0.75;1.65]	5
-C9	]4.75;+inf[	]1.65;+inf[	35
-Confusion matrix
-	]-inf;2.4]	]2.4;4.75]	]4.75;+inf[
-]-inf;0.75]	38	0	0
-]0.75;1.65]	0	27	5
-]1.65;+inf[	0	0	35
-
-Rank	R16
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa, Iris-versicolor}	Iris-setosa	Iris-versicolor	 * 
-	{Iris-virginica}	Iris-virginica
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.75]	1.5	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class	UpperPetalWidth	Frequency
-C1	{Iris-setosa, Iris-versicolor}	]-inf;1.75]	69
-C2	{Iris-virginica}	]-inf;1.75]	2
-C3	{Iris-setosa, Iris-versicolor}	]1.75;+inf[	1
-C4	{Iris-virginica}	]1.75;+inf[	33
-Confusion matrix
-	{Iris-setosa, Iris-versicolor}	{Iris-virginica}
-]-inf;1.75]	69	2
-]1.75;+inf[	1	33
-
-Rank	R17
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;1.55]	0.1	1.55
-	]1.55;2.05]	1.55	2.05
-	]2.05;+inf[	2.05	2.5
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;2.05]	1.55	2.05
-	]2.05;+inf[	2.05	2.5
-Cells
-Cell id	PetalWidth	UpperPetalWidth	Frequency
-C1	]-inf;1.55]	]-inf;1.55]	67
-C5	]1.55;2.05]	]1.55;2.05]	20
-C9	]2.05;+inf[	]2.05;+inf[	18
-Confusion matrix
-	]-inf;1.55]	]1.55;2.05]	]2.05;+inf[
-]-inf;1.55]	67	0	0
-]1.55;2.05]	0	20	0
-]2.05;+inf[	0	0	18
-
-Rank	R18
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	3
-PetalLength	Numerical	Intervals
-	]-inf;1.45]	1	1.45
-	]1.45;2.4]	1.45	2.4
-	]2.4;+inf[	2.4	6.9
-Cells
-Cell id	LowerPetalLength	PetalLength	Frequency
-C1	]-inf;1.45]	]-inf;1.45]	17
-C5	]1.45;2.4]	]1.45;2.4]	21
-C9	]2.4;+inf[	]2.4;+inf[	67
-Confusion matrix
-	]-inf;1.45]	]1.45;2.4]	]2.4;+inf[
-]-inf;1.45]	17	0	0
-]1.45;2.4]	0	21	0
-]2.4;+inf[	0	0	67
-
-Rank	R19
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.75]	0.75	1.75
-	]1.75;+inf[	1.75	2.5
-Cells
-Cell id	Class2	PetalWidth	Frequency
-C1	{}	]-inf;0.75]	38
-C3	{}	]0.75;1.75]	2
-C4	{versicolor}	]0.75;1.75]	31
-C5	{}	]1.75;+inf[	33
-C6	{versicolor}	]1.75;+inf[	1
-Confusion matrix
-	{}	{versicolor}
-]-inf;0.75]	38	0
-]0.75;1.75]	2	31
-]1.75;+inf[	33	1
-
-Rank	R20
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{5, 4}	5	4
-	{1, 3}	1	3
-	{6}	6	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.35]	4.3	5.35
-	]5.35;5.85]	5.35	5.85
-	]5.85;7.15]	5.85	7.15
-	]7.15;+inf[	7.15	7.7
-Cells
-Cell id	SPetalLength	SepalLength	Frequency
-C2	{1, 3}	]-inf;5.35]	34
-C4	{5, 4}	]5.35;5.85]	10
-C5	{1, 3}	]5.35;5.85]	12
-C7	{5, 4}	]5.85;7.15]	42
-C12	{6}	]7.15;+inf[	7
-Confusion matrix
-	{5, 4}	{1, 3}	{6}
-]-inf;5.35]	0	34	0
-]5.35;5.85]	10	12	0
-]5.85;7.15]	42	0	0
-]7.15;+inf[	0	0	7
-
-Rank	R21
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.85]	2.4	4.85
-	]4.85;+inf[	4.85	6.9
-Cells
-Cell id	Class2	PetalLength	Frequency
-C1	{}	]-inf;2.4]	38
-C3	{}	]2.4;4.85]	1
-C4	{versicolor}	]2.4;4.85]	29
-C5	{}	]4.85;+inf[	34
-C6	{versicolor}	]4.85;+inf[	3
-Confusion matrix
-	{}	{versicolor}
-]-inf;2.4]	38	0
-]2.4;4.85]	1	29
-]4.85;+inf[	34	3
-
-Rank	R22
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;+inf[	0.75	2.5
-Cells
-Cell id	LowerPetalLength	PetalWidth	Frequency
-C1	]-inf;2.4]	]-inf;0.75]	38
-C4	]2.4;+inf[	]0.75;+inf[	67
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;0.75]	38	0
-]0.75;+inf[	0	67
-
-Rank	R23
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;6.15]	5.45	6.15
-	]6.15;+inf[	6.15	7.7
-Cells
-Cell id	Class	SepalLength	Frequency
-C1	{Iris-setosa}	]-inf;5.45]	34
-C3	{Iris-versicolor}	]-inf;5.45]	5
-C4	{Iris-setosa}	]5.45;6.15]	4
-C5	{Iris-virginica}	]5.45;6.15]	5
-C6	{Iris-versicolor}	]5.45;6.15]	19
-C8	{Iris-virginica}	]6.15;+inf[	30
-C9	{Iris-versicolor}	]6.15;+inf[	8
-Confusion matrix
-	{Iris-setosa}	{Iris-virginica}	{Iris-versicolor}
-]-inf;5.45]	34	0	5
-]5.45;6.15]	4	5	19
-]6.15;+inf[	0	30	8
-
-Rank	R24
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-Cells
-Cell id	Class1	Class2	Frequency
-C1	{}	{}	35
-C2	{setosa}	{}	38
-C3	{}	{versicolor}	32
-Confusion matrix
-	{}	{setosa}
-{}	35	38
-{versicolor}	32	0
-
-Rank	R25
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;+inf[	5.45	7.7
-Cells
-Cell id	Class1	SepalLength	Frequency
-C1	{}	]-inf;5.45]	5
-C2	{setosa}	]-inf;5.45]	34
-C3	{}	]5.45;+inf[	62
-C4	{setosa}	]5.45;+inf[	4
-Confusion matrix
-	{}	{setosa}
-]-inf;5.45]	5	34
-]5.45;+inf[	62	4
-
-Rank	R26
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{1, 3}	1	3
-	{5, 6}	5	6	 * 
-	{4}	4
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	SPetalLength	UpperPetalWidth	Frequency
-C1	{1, 3}	]-inf;1.55]	46
-C2	{5, 6}	]-inf;1.55]	2
-C3	{4}	]-inf;1.55]	19
-C5	{5, 6}	]1.55;+inf[	32
-C6	{4}	]1.55;+inf[	6
-Confusion matrix
-	{1, 3}	{5, 6}	{4}
-]-inf;1.55]	46	2	19
-]1.55;+inf[	0	32	6
-
-Rank	R27
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;3.55]	1	3.55
-	]3.55;4.6]	3.55	4.6
-	]4.6;5.95]	4.6	5.95
-	]5.95;+inf[	5.95	6.9
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.85]	5.45	5.85
-	]5.85;7.15]	5.85	7.15
-	]7.15;+inf[	7.15	7.7
-Cells
-Cell id	PetalLength	SepalLength	Frequency
-C1	]-inf;3.55]	]-inf;5.45]	37
-C2	]3.55;4.6]	]-inf;5.45]	2
-C5	]-inf;3.55]	]5.45;5.85]	5
-C6	]3.55;4.6]	]5.45;5.85]	10
-C7	]4.6;5.95]	]5.45;5.85]	2
-C10	]3.55;4.6]	]5.85;7.15]	7
-C11	]4.6;5.95]	]5.85;7.15]	35
-C16	]5.95;+inf[	]7.15;+inf[	7
-Confusion matrix
-	]-inf;3.55]	]3.55;4.6]	]4.6;5.95]	]5.95;+inf[
-]-inf;5.45]	37	2	0	0
-]5.45;5.85]	5	10	2	0
-]5.85;7.15]	0	7	35	0
-]7.15;+inf[	0	0	0	7
-
-Rank	R28
-
-Data grid	Unsupervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;4.75]	1	4.75
-	]4.75;+inf[	4.75	6.9
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.65]	1.5	1.65
-	]1.65;+inf[	1.65	2.5
-Cells
-Cell id	PetalLength	UpperPetalWidth	Frequency
-C1	]-inf;4.75]	]-inf;1.65]	65
-C2	]4.75;+inf[	]-inf;1.65]	5
-C4	]4.75;+inf[	]1.65;+inf[	35
-Confusion matrix
-	]-inf;4.75]	]4.75;+inf[
-]-inf;1.65]	65	5
-]1.65;+inf[	0	35
-
-Rank	R29
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.35]	0.75	1.35
-	]1.35;+inf[	1.35	2.5
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;5.85]	5.45	5.85
-	]5.85;+inf[	5.85	7.7
-Cells
-Cell id	PetalWidth	SepalLength	Frequency
-C1	]-inf;0.75]	]-inf;5.45]	34
-C2	]0.75;1.35]	]-inf;5.45]	3
-C3	]1.35;+inf[	]-inf;5.45]	2
-C4	]-inf;0.75]	]5.45;5.85]	4
-C5	]0.75;1.35]	]5.45;5.85]	10
-C6	]1.35;+inf[	]5.45;5.85]	3
-C8	]0.75;1.35]	]5.85;+inf[	5
-C9	]1.35;+inf[	]5.85;+inf[	44
-Confusion matrix
-	]-inf;0.75]	]0.75;1.35]	]1.35;+inf[
-]-inf;5.45]	34	3	2
-]5.45;5.85]	4	10	3
-]5.85;+inf[	0	5	44
-
-Rank	R30
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-SepalLength	Numerical	Intervals
-	]-inf;5.45]	4.3	5.45
-	]5.45;+inf[	5.45	7.7
-Cells
-Cell id	LowerPetalLength	SepalLength	Frequency
-C1	]-inf;2.4]	]-inf;5.45]	34
-C2	]2.4;+inf[	]-inf;5.45]	5
-C3	]-inf;2.4]	]5.45;+inf[	4
-C4	]2.4;+inf[	]5.45;+inf[	62
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;5.45]	34	5
-]5.45;+inf[	4	62
-
-Rank	R31
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	Class1	UpperPetalWidth	Frequency
-C1	{}	]-inf;1.55]	29
-C2	{setosa}	]-inf;1.55]	38
-C3	{}	]1.55;+inf[	38
-Confusion matrix
-	{}	{setosa}
-]-inf;1.55]	29	38
-]1.55;+inf[	38	0
-
-Rank	R32
-
-Data grid	Unsupervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.85]	4.3	5.85
-	]5.85;+inf[	5.85	7.7
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	SepalLength	UpperPetalWidth	Frequency
-C1	]-inf;5.85]	]-inf;1.55]	54
-C2	]5.85;+inf[	]-inf;1.55]	13
-C3	]-inf;5.85]	]1.55;+inf[	2
-C4	]5.85;+inf[	]1.55;+inf[	36
-Confusion matrix
-	]-inf;5.85]	]5.85;+inf[
-]-inf;1.55]	54	13
-]1.55;+inf[	2	36
-
-Rank	R33
-
-Data grid	Unsupervised
-Dimensions
-Class1	Categorical	Value groups
-	{}	
-	{setosa}	setosa	 * 
-SepalWidth	Numerical	Intervals
-	]-inf;2.85]	2	2.85
-	]2.85;3.35]	2.85	3.35
-	]3.35;+inf[	3.35	4.4
-Cells
-Cell id	Class1	SepalWidth	Frequency
-C1	{}	]-inf;2.85]	30
-C3	{}	]2.85;3.35]	32
-C4	{setosa}	]2.85;3.35]	17
-C5	{}	]3.35;+inf[	5
-C6	{setosa}	]3.35;+inf[	21
-Confusion matrix
-	{}	{setosa}
-]-inf;2.85]	30	0
-]2.85;3.35]	32	17
-]3.35;+inf[	5	21
-
-Rank	R34
-
-Data grid	Unsupervised
-Dimensions
-Class2	Categorical	Value groups
-	{}	
-	{versicolor}	versicolor	 * 
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-Cells
-Cell id	Class2	LowerPetalLength	Frequency
-C1	{}	]-inf;2.4]	38
-C3	{}	]2.4;+inf[	35
-C4	{versicolor}	]2.4;+inf[	32
-Confusion matrix
-	{}	{versicolor}
-]-inf;2.4]	38	0
-]2.4;+inf[	35	32
-
-Rank	R35
-
-Data grid	Unsupervised
-Dimensions
-Class	Categorical	Value groups
-	{Iris-setosa}	Iris-setosa
-	{Iris-virginica}	Iris-virginica
-	{Iris-versicolor}	Iris-versicolor	 * 
-SepalWidth	Numerical	Intervals
-	]-inf;2.95]	2	2.95
-	]2.95;+inf[	2.95	4.4
-Cells
-Cell id	Class	SepalWidth	Frequency
-C1	{Iris-setosa}	]-inf;2.95]	1
-C2	{Iris-virginica}	]-inf;2.95]	13
-C3	{Iris-versicolor}	]-inf;2.95]	22
-C4	{Iris-setosa}	]2.95;+inf[	37
-C5	{Iris-virginica}	]2.95;+inf[	22
-C6	{Iris-versicolor}	]2.95;+inf[	10
-Confusion matrix
-	{Iris-setosa}	{Iris-virginica}	{Iris-versicolor}
-]-inf;2.95]	1	13	22
-]2.95;+inf[	37	22	10
-
-Rank	R36
-
-Data grid	Unsupervised
-Dimensions
-LowerPetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;+inf[	2.4	3
-UpperPetalWidth	Numerical	Intervals
-	]-inf;1.55]	1.5	1.55
-	]1.55;+inf[	1.55	2.5
-Cells
-Cell id	LowerPetalLength	UpperPetalWidth	Frequency
-C1	]-inf;2.4]	]-inf;1.55]	38
-C2	]2.4;+inf[	]-inf;1.55]	29
-C4	]2.4;+inf[	]1.55;+inf[	38
-Confusion matrix
-	]-inf;2.4]	]2.4;+inf[
-]-inf;1.55]	38	29
-]1.55;+inf[	0	38
-
-Rank	R37
-
-Data grid	Unsupervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.75]	0.1	0.75
-	]0.75;1.45]	0.75	1.45
-	]1.45;+inf[	1.45	2.5
-SepalWidth	Numerical	Intervals
-	]-inf;2.95]	2	2.95
-	]2.95;+inf[	2.95	4.4
-Cells
-Cell id	PetalWidth	SepalWidth	Frequency
-C1	]-inf;0.75]	]-inf;2.95]	1
-C2	]0.75;1.45]	]-inf;2.95]	21
-C3	]1.45;+inf[	]-inf;2.95]	14
-C4	]-inf;0.75]	]2.95;+inf[	37
-C5	]0.75;1.45]	]2.95;+inf[	3
-C6	]1.45;+inf[	]2.95;+inf[	29
-Confusion matrix
-	]-inf;0.75]	]0.75;1.45]	]1.45;+inf[
-]-inf;2.95]	1	21	14
-]2.95;+inf[	37	3	29
-
-Rank	R38
-
-Data grid	Unsupervised
-Dimensions
-SPetalLength	Categorical	Value groups
-	{4, 3, 6}	4	3	6	 * 
-	{1}	1
-	{5}	5
-SepalWidth	Numerical	Intervals
-	]-inf;2.95]	2	2.95
-	]2.95;3.25]	2.95	3.25
-	]3.25;+inf[	3.25	4.4
-Cells
-Cell id	SPetalLength	SepalWidth	Frequency
-C1	{4, 3, 6}	]-inf;2.95]	26
-C2	{1}	]-inf;2.95]	1
-C3	{5}	]-inf;2.95]	9
-C4	{4, 3, 6}	]2.95;3.25]	10
-C5	{1}	]2.95;3.25]	15
-C6	{5}	]2.95;3.25]	16
-C7	{4, 3, 6}	]3.25;+inf[	4
-C8	{1}	]3.25;+inf[	22
-C9	{5}	]3.25;+inf[	2
-Confusion matrix
-	{4, 3, 6}	{1}	{5}
-]-inf;2.95]	26	1	9
-]2.95;3.25]	10	15	16
-]3.25;+inf[	4	22	2
diff --git a/tests/resources/analysis_results/ref_reports/LargeSpiral.txt b/tests/resources/analysis_results/ref_reports/LargeSpiral.txt
deleted file mode 100644
index 55f53375..00000000
--- a/tests/resources/analysis_results/ref_reports/LargeSpiral.txt
+++ /dev/null
@@ -1,4499 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	Spiral
-Variables
-	Categorical	1
-	Numerical	9
-	Total	10
-Database	./Spiral10000.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	6921
-Learning task	Classification analysis
-Target variable	Class
-Main target value	1
-Target descriptive stats
-	Values	2
-	Mode	1
-	Mode frequency	3473
-Target variable stats
-	0	3448
-	1	3473
-Evaluated variables	9
-Informative variables	9
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	8.84246
-	Data cost	4792.58
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Z4	Numerical	0.0681452		20	6921	-17.02891547	19.4818361	0.3035238045	7.987344602	0			2.89037	173.776	4298.21	Sum(Product(X, 0.75), Product(Y, -0.25))
-R2	Z1	Numerical	0.0680193		14	6921	-31.98646564	27.54296154	-0.9641589201	13.29728609	0			2.89037	141.575	4331.01	Sum(X, Y)
-R3	Z2	Numerical	0.0656913		12	6921	-29.88621157	34.36234837	1.089127069	14.34098313	0			2.89037	131.357	4352.41	Diff(X, Y)
-R4	Z7	Numerical	0.0656239		12	6921	-16.48983359	16.03564531	-0.2975526991	7.05644413	0			2.89037	116.551	4367.54	Sum(Product(X, 0.66), Product(Y, 0.33))
-R5	Z6	Numerical	0.0646533		14	6921	-16.3511413	18.8869841	0.7856032646	7.818980237	0			2.89037	148.503	4340.25	Sum(Product(X, 0.25), Product(Y, -0.75))
-R6	Y	Numerical	0.0621941		12	6921	-23.44425663	20.11330762	-1.026642995	9.641534203	0			2.89037	139.193	4361.37	
-R7	Z5	Numerical	0.060812		16	6921	-18.32264728	15.82629912	-0.7543612273	7.465107552	0			2.89037	145.026	4362.17	Sum(Product(X, 0.25), Product(Y, 0.75))
-R8	X	Numerical	0.0586063		13	6921	-21.91698198	25.02015277	0.06248407446	9.913708966	0			2.89037	141.824	4375.97	
-R9	Z3	Numerical	0.0551605		16	6921	-17.60767858	18.40325434	-0.2097976928	7.64127297	0			2.89037	146.146	4388.19	Sum(Product(X, 0.75), Product(Y, 0.25))
-
-Detailed variable statistics
-
-Rank	R1	Z4	Numerical
-
-Data grid	Supervised
-Dimensions
-Z4	Numerical	Intervals
-	]-inf;-14.54867]	-17.02891547	-14.54867
-	]-14.54867;-13.309]	-14.54867	-13.309
-	]-13.309;-11.4956]	-13.309	-11.4956
-	]-11.4956;-9.467]	-11.4956	-9.467
-	]-9.467;-6.86658]	-9.467	-6.86658
-	]-6.86658;-4.5779]	-6.86658	-4.5779
-	]-4.5779;-3.05916]	-4.5779	-3.05916
-	]-3.05916;-2.7347]	-3.05916	-2.7347
-	]-2.7347;2.3402]	-2.7347	2.3402
-	]2.3402;3.94]	2.3402	3.94
-	]3.94;5.6372]	3.94	5.6372
-	]5.6372;6.9302]	5.6372	6.9302
-	]6.9302;8.3438]	6.9302	8.3438
-	]8.3438;9.5724]	8.3438	9.5724
-	]9.5724;10.9347]	9.5724	10.9347
-	]10.9347;11.9522]	10.9347	11.9522
-	]11.9522;14.381]	11.9522	14.381
-	]14.381;16.4836]	14.381	16.4836
-	]16.4836;17.2675]	16.4836	17.2675
-	]17.2675;+inf[	17.2675	19.4818361
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-14.54867]	2	160	0.227323
-]-14.54867;-13.309]	46	62	0.00255029
-]-13.309;-11.4956]	139	78	0.0200699
-]-11.4956;-9.467]	107	217	0.0420083
-]-9.467;-6.86658]	322	219	0.0230618
-]-6.86658;-4.5779]	233	416	0.0574184
-]-4.5779;-3.05916]	267	219	0.00574433
-]-3.05916;-2.7347]	83	25	0.037463
-]-2.7347;2.3402]	994	628	0.0967987
-]2.3402;3.94]	186	247	0.00921863
-]3.94;5.6372]	294	139	0.0651504
-]5.6372;6.9302]	169	155	0.00080001
-]6.9302;8.3438]	93	231	0.0672275
-]8.3438;9.5724]	90	127	0.00684062
-]9.5724;10.9347]	143	73	0.0265829
-]10.9347;11.9522]	81	81	2.38009e-06
-]11.9522;14.381]	61	210	0.0963578
-]14.381;16.4836]	119	43	0.042387
-]16.4836;17.2675]	19	35	0.00528964
-]17.2675;+inf[	0	108	0.167706
-
-Rank	R2	Z1	Numerical
-
-Data grid	Supervised
-Dimensions
-Z1	Numerical	Intervals
-	]-inf;-27.642]	-31.98646564	-27.642
-	]-27.642;-22.9554]	-27.642	-22.9554
-	]-22.9554;-17.8]	-22.9554	-17.8
-	]-17.8;-14.036]	-17.8	-14.036
-	]-14.036;-9.2369]	-14.036	-9.2369
-	]-9.2369;0.6707]	-9.2369	0.6707
-	]0.6707;3.175]	0.6707	3.175
-	]3.175;5.0505]	3.175	5.0505
-	]5.0505;9.81536]	5.0505	9.81536
-	]9.81536;13.895]	9.81536	13.895
-	]13.895;17.606]	13.895	17.606
-	]17.606;22.6609]	17.606	22.6609
-	]22.6609;23.143]	22.6609	23.143
-	]23.143;+inf[	23.143	27.54296154
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-27.642]	0	135	0.218078
-]-27.642;-22.9554]	154	117	0.00625303
-]-22.9554;-17.8]	146	286	0.0529382
-]-17.8;-14.036]	271	162	0.0334178
-]-14.036;-9.2369]	263	413	0.0380546
-]-9.2369;0.6707]	984	638	0.0900753
-]0.6707;3.175]	391	149	0.133727
-]3.175;5.0505]	230	176	0.0089011
-]5.0505;9.81536]	316	549	0.0724735
-]9.81536;13.895]	294	220	0.0131568
-]13.895;17.606]	132	273	0.0575351
-]17.606;22.6609]	259	174	0.0203985
-]22.6609;23.143]	7	20	0.00753556
-]23.143;+inf[	1	161	0.247456
-
-Rank	R3	Z2	Numerical
-
-Data grid	Supervised
-Dimensions
-Z2	Numerical	Intervals
-	]-inf;-25.117]	-29.88621157	-25.117
-	]-25.117;-19.8352]	-25.117	-19.8352
-	]-19.8352;-15.968]	-19.8352	-15.968
-	]-15.968;-11.748]	-15.968	-11.748
-	]-11.748;-7.0676]	-11.748	-7.0676
-	]-7.0676;10.668]	-7.0676	10.668
-	]10.668;16.2202]	10.668	16.2202
-	]16.2202;19.479]	16.2202	19.479
-	]19.479;25.294]	19.479	25.294
-	]25.294;28.104]	25.294	28.104
-	]28.104;30.0149]	28.104	30.0149
-	]30.0149;+inf[	30.0149	34.36234837
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-25.117]	2	147	0.224005
-]-25.117;-19.8352]	204	161	0.00655493
-]-19.8352;-15.968]	92	273	0.112491
-]-15.968;-11.748]	327	200	0.0386919
-]-11.748;-7.0676]	242	420	0.0573428
-]-7.0676;10.668]	1838	1204	0.167404
-]10.668;16.2202]	235	427	0.0669909
-]16.2202;19.479]	174	96	0.0284719
-]19.479;25.294]	169	291	0.0387387
-]25.294;28.104]	120	56	0.0295108
-]28.104;30.0149]	45	63	0.00350711
-]30.0149;+inf[	0	135	0.22629
-
-Rank	R4	Z7	Numerical
-
-Data grid	Supervised
-Dimensions
-Z7	Numerical	Intervals
-	]-inf;-13.988]	-16.48983359	-13.988
-	]-13.988;-13.3828]	-13.988	-13.3828
-	]-13.3828;-11.753]	-13.3828	-11.753
-	]-11.753;-9.00694]	-11.753	-9.00694
-	]-9.00694;-7.0572]	-9.00694	-7.0572
-	]-7.0572;-4.8306]	-7.0572	-4.8306
-	]-4.8306;2.4982]	-4.8306	2.4982
-	]2.4982;4.68089]	2.4982	4.68089
-	]4.68089;7.1345]	4.68089	7.1345
-	]7.1345;9.52288]	7.1345	9.52288
-	]9.52288;11.9428]	9.52288	11.9428
-	]11.9428;+inf[	11.9428	16.03564531
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-13.988]	3	159	0.246168
-]-13.988;-13.3828]	20	34	0.00454117
-]-13.3828;-11.753]	141	76	0.0257447
-]-11.753;-9.00694]	152	280	0.0477927
-]-9.00694;-7.0572]	278	155	0.0461875
-]-7.0572;-4.8306]	218	376	0.052652
-]-4.8306;2.4982]	1568	974	0.183655
-]2.4982;4.68089]	238	465	0.0928303
-]4.68089;7.1345]	385	264	0.0299793
-]7.1345;9.52288]	168	318	0.0584765
-]9.52288;11.9428]	236	143	0.0301797
-]11.9428;+inf[	41	229	0.181793
-
-Rank	R5	Z6	Numerical
-
-Data grid	Supervised
-Dimensions
-Z6	Numerical	Intervals
-	]-inf;-13.8954]	-16.3511413	-13.8954
-	]-13.8954;-13.1156]	-13.8954	-13.1156
-	]-13.1156;-10.8626]	-13.1156	-10.8626
-	]-10.8626;-8.909269]	-10.8626	-8.909269
-	]-8.909269;-6.3885]	-8.909269	-6.3885
-	]-6.3885;-3.9877]	-6.3885	-3.9877
-	]-3.9877;-2.894]	-3.9877	-2.894
-	]-2.894;6.2747]	-2.894	6.2747
-	]6.2747;7.8143]	6.2747	7.8143
-	]7.8143;10.9556]	7.8143	10.9556
-	]10.9556;13.613]	10.9556	13.613
-	]13.613;15.66]	13.613	15.66
-	]15.66;16.5086]	15.66	16.5086
-	]16.5086;+inf[	16.5086	18.8869841
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-13.8954]	1	134	0.20821
-]-13.8954;-13.1156]	23	58	0.0183646
-]-13.1156;-10.8626]	170	101	0.0218077
-]-10.8626;-8.909269]	73	238	0.108657
-]-8.909269;-6.3885]	305	208	0.0228754
-]-6.3885;-3.9877]	240	423	0.0595299
-]-3.9877;-2.894]	179	186	0.0001056
-]-2.894;6.2747]	1720	1064	0.192003
-]6.2747;7.8143]	119	246	0.0527894
-]7.8143;10.9556]	316	279	0.00307728
-]10.9556;13.613]	130	289	0.0725108
-]13.613;15.66]	151	79	0.0279929
-]15.66;16.5086]	21	46	0.011197
-]16.5086;+inf[	0	122	0.20088
-
-Rank	R6	Y	Numerical
-
-Data grid	Supervised
-Dimensions
-Y	Numerical	Intervals
-	]-inf;-20.35719]	-23.44425663	-20.35719
-	]-20.35719;-19.507]	-20.35719	-19.507
-	]-19.507;-16.4655]	-19.507	-16.4655
-	]-16.4655;-14.196]	-16.4655	-14.196
-	]-14.196;-10.071]	-14.196	-10.071
-	]-10.071;-7.2095]	-10.071	-7.2095
-	]-7.2095;3.825659]	-7.2095	3.825659
-	]3.825659;7.5927]	3.825659	7.5927
-	]7.5927;10.239762]	7.5927	10.239762
-	]10.239762;13.58308]	10.239762	13.58308
-	]13.58308;17.206]	13.58308	17.206
-	]17.206;+inf[	17.206	20.11330762
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-20.35719]	0	115	0.196458
-]-20.35719;-19.507]	19	48	0.0158166
-]-19.507;-16.4655]	167	104	0.0188776
-]-16.4655;-14.196]	78	212	0.0784985
-]-14.196;-10.071]	329	273	0.00697323
-]-10.071;-7.2095]	192	362	0.0641625
-]-7.2095;3.825659]	1729	1063	0.204711
-]3.825659;7.5927]	351	520	0.0393802
-]7.5927;10.239762]	261	165	0.0278964
-]10.239762;13.58308]	144	336	0.09614
-]13.58308;17.206]	178	133	0.00850192
-]17.206;+inf[	0	142	0.242583
-
-Rank	R7	Z5	Numerical
-
-Data grid	Supervised
-Dimensions
-Z5	Numerical	Intervals
-	]-inf;-16.10333]	-18.32264728	-16.10333
-	]-16.10333;-15.362]	-16.10333	-15.362
-	]-15.362;-12.9261]	-15.362	-12.9261
-	]-12.9261;-10.18919]	-12.9261	-10.18919
-	]-10.18919;-8.24059]	-10.18919	-8.24059
-	]-8.24059;-5.53]	-8.24059	-5.53
-	]-5.53;0.1525]	-5.53	0.1525
-	]0.1525;2.4952]	0.1525	2.4952
-	]2.4952;3.3035]	2.4952	3.3035
-	]3.3035;5.693]	3.3035	5.693
-	]5.693;8.1217]	5.693	8.1217
-	]8.1217;9.6319]	8.1217	9.6319
-	]9.6319;10.76244]	9.6319	10.76244
-	]10.76244;13.053]	10.76244	13.053
-	]13.053;13.6977]	13.053	13.6977
-	]13.6977;+inf[	13.6977	15.82629912
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-16.10333]	0	108	0.1898
-]-16.10333;-15.362]	12	42	0.0222187
-]-15.362;-12.9261]	162	109	0.0137868
-]-12.9261;-10.18919]	138	294	0.0720061
-]-10.18919;-8.24059]	231	148	0.0241225
-]-8.24059;-5.53]	264	384	0.0273886
-]-5.53;0.1525]	960	663	0.0724122
-]0.1525;2.4952]	650	323	0.145834
-]2.4952;3.3035]	144	126	0.00170054
-]3.3035;5.693]	269	488	0.0798995
-]5.693;8.1217]	316	225	0.0204458
-]8.1217;9.6319]	71	199	0.0793479
-]9.6319;10.76244]	68	94	0.00510398
-]10.76244;13.053]	157	114	0.00913184
-]13.053;13.6977]	6	48	0.0470016
-]13.6977;+inf[	0	108	0.1898
-
-Rank	R8	X	Numerical
-
-Data grid	Supervised
-Dimensions
-X	Numerical	Intervals
-	]-inf;-18.42]	-21.91698198	-18.42
-	]-18.42;-14.7465]	-18.42	-14.7465
-	]-14.7465;-12.3476]	-14.7465	-12.3476
-	]-12.3476;-9.1214]	-12.3476	-9.1214
-	]-9.1214;-5.05664]	-9.1214	-5.05664
-	]-5.05664;2.846]	-5.05664	2.846
-	]2.846;5.1752]	2.846	5.1752
-	]5.1752;9.07005]	5.1752	9.07005
-	]9.07005;12.353]	9.07005	12.353
-	]12.353;15.432]	12.353	15.432
-	]15.432;18.19]	15.432	18.19
-	]18.19;21.669]	18.19	21.669
-	]21.669;+inf[	21.669	25.02015277
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-18.42]	3	173	0.276577
-]-18.42;-14.7465]	200	138	0.0154835
-]-14.7465;-12.3476]	66	191	0.0814638
-]-12.3476;-9.1214]	347	207	0.0479026
-]-9.1214;-5.05664]	352	513	0.0377526
-]-5.05664;2.846]	1274	781	0.160206
-]2.846;5.1752]	195	318	0.0376335
-]5.1752;9.07005]	457	314	0.0360987
-]9.07005;12.353]	178	335	0.0621189
-]12.353;15.432]	243	176	0.0146494
-]15.432;18.19]	53	191	0.106607
-]18.19;21.669]	80	68	0.00138387
-]21.669;+inf[	0	68	0.122123
-
-Rank	R9	Z3	Numerical
-
-Data grid	Supervised
-Dimensions
-Z3	Numerical	Intervals
-	]-inf;-15.004]	-17.60767858	-15.004
-	]-15.004;-13.803]	-15.004	-13.803
-	]-13.803;-12.3889]	-13.803	-12.3889
-	]-12.3889;-11.28705]	-12.3889	-11.28705
-	]-11.28705;-10.219268]	-11.28705	-10.219268
-	]-10.219268;-9.277]	-10.219268	-9.277
-	]-9.277;-7.5179]	-9.277	-7.5179
-	]-7.5179;-4.902]	-7.5179	-4.902
-	]-4.902;-0.2223]	-4.902	-0.2223
-	]-0.2223;-0.0331]	-0.2223	-0.0331
-	]-0.0331;2.3106]	-0.0331	2.3106
-	]2.3106;4.9736]	2.3106	4.9736
-	]4.9736;7.3306]	4.9736	7.3306
-	]7.3306;9.6114]	7.3306	9.6114
-	]9.6114;12.46885]	9.6114	12.46885
-	]12.46885;+inf[	12.46885	18.40325434
-Class	Categorical	Values
-	0
-	1
-Cells
-Interval	0	1	Interest
-]-inf;-15.004]	1	161	0.291675
-]-15.004;-13.803]	50	58	0.00074107
-]-13.803;-12.3889]	114	49	0.0374529
-]-12.3889;-11.28705]	74	88	0.00153579
-]-11.28705;-10.219268]	34	128	0.0792967
-]-10.219268;-9.277]	74	88	0.00153579
-]-9.277;-7.5179]	240	139	0.0386284
-]-7.5179;-4.902]	258	391	0.0365841
-]-4.902;-0.2223]	888	571	0.0990444
-]-0.2223;-0.0331]	18	36	0.00826607
-]-0.0331;2.3106]	527	285	0.103535
-]2.3106;4.9736]	321	490	0.0473099
-]4.9736;7.3306]	351	243	0.0283505
-]7.3306;9.6114]	150	283	0.0560065
-]9.6114;12.46885]	279	208	0.0150594
-]12.46885;+inf[	69	255	0.154978
-
-
-Report	Modeling
-
-Dictionary	Spiral
-Database	./Spiral10000.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	Class
-Main target value	1
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Data Grid	Data Grid	9
-
-Detailed trained predictors
-
-
-Report	Evaluation	Train
-
-Dictionary	Spiral
-Database	./Spiral10000.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	6921
-Learning task	Classification analysis
-Target variable	Class
-Main target value	1
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Data Grid	Data Grid	0.968646	0.875312	0.995022
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	0	1
-$0	3335	104
-$1	113	3369
-
-Lift curves	0
-Size	Random	Optimal	Data Grid
-0.0	0.0	0	0
-0.1	0.1	0.200725	0.200725
-0.2	0.2	0.40145	0.40145
-0.3	0.3	0.602175	0.602175
-0.4	0.4	0.8029	0.8029
-0.5	0.5	1.00363	1.00363
-0.6	0.6	1.20435	1.20435
-0.7	0.7	1.40508	1.40508
-0.8	0.8	1.6058	1.6058
-0.9	0.9	1.80653	1.80653
-1.0	1.0	2.00725	2.00725
-1.1	1.1	2.20798	2.20798
-1.2	1.2	2.4087	2.4087
-1.3	1.3	2.60943	2.60943
-1.4	1.4	2.81015	2.81015
-1.5	1.5	3.01088	3.01088
-1.6	1.6	3.2116	3.2116
-1.7	1.7	3.41233	3.41233
-1.8	1.8	3.61305	3.61305
-1.9	1.9	3.81378	3.81378
-2.0	2.0	4.0145	4.0145
-2.1	2.1	4.21523	4.21523
-2.2	2.2	4.41595	4.41595
-2.3	2.3	4.61668	4.61668
-2.4	2.4	4.8174	4.8174
-2.5	2.5	5.01813	5.01813
-2.6	2.6	5.21885	5.21885
-2.7	2.7	5.41958	5.41958
-2.8	2.8	5.6203	5.6203
-2.9	2.9	5.82103	5.82103
-3.0	3.0	6.02175	6.02175
-3.1	3.1	6.22248	6.22248
-3.2	3.2	6.4232	6.4232
-3.3	3.3	6.62393	6.62393
-3.4	3.4	6.82465	6.82465
-3.5	3.5	7.02538	7.02538
-3.6	3.6	7.2261	7.2261
-3.7	3.7	7.42683	7.42683
-3.8	3.8	7.62755	7.62755
-3.9	3.9	7.82828	7.82828
-4.0	4.0	8.029	8.029
-4.1	4.1	8.22973	8.22973
-4.2	4.2	8.43045	8.43045
-4.3	4.3	8.63118	8.63118
-4.4	4.4	8.8319	8.8319
-4.5	4.5	9.03263	9.03263
-4.6	4.6	9.23335	9.23335
-4.7	4.7	9.43408	9.43408
-4.8	4.8	9.6348	9.6348
-4.9	4.9	9.83553	9.83553
-5.0	5.0	10.0363	10.0363
-5.1	5.1	10.237	10.237
-5.2	5.2	10.4377	10.4377
-5.3	5.3	10.6384	10.6384
-5.4	5.4	10.8392	10.8392
-5.5	5.5	11.0399	11.0399
-5.6	5.6	11.2406	11.2406
-5.7	5.7	11.4413	11.4413
-5.8	5.8	11.6421	11.6421
-5.9	5.9	11.8428	11.8428
-6.0	6.0	12.0435	12.0435
-6.1	6.1	12.2442	12.2442
-6.2	6.2	12.445	12.445
-6.3	6.3	12.6457	12.6457
-6.4	6.4	12.8464	12.8464
-6.5	6.5	13.0471	13.0471
-6.6	6.6	13.2479	13.2479
-6.7	6.7	13.4486	13.4486
-6.8	6.8	13.6493	13.6493
-6.9	6.9	13.85	13.85
-7.0	7.0	14.0508	14.0508
-7.1	7.1	14.2515	14.2515
-7.2	7.2	14.4522	14.4522
-7.3	7.3	14.6529	14.6529
-7.4	7.4	14.8537	14.8537
-7.5	7.5	15.0544	15.0544
-7.6	7.6	15.2551	15.2551
-7.7	7.7	15.4558	15.4558
-7.8	7.8	15.6566	15.6566
-7.9	7.9	15.8573	15.8573
-8.0	8.0	16.058	16.058
-8.1	8.1	16.2587	16.2587
-8.2	8.2	16.4595	16.4595
-8.3	8.3	16.6602	16.6602
-8.4	8.4	16.8609	16.8609
-8.5	8.5	17.0616	17.0616
-8.6	8.6	17.2624	17.2624
-8.7	8.7	17.4631	17.4631
-8.8	8.8	17.6638	17.6638
-8.9	8.9	17.8645	17.8645
-9.0	9.0	18.0653	18.0653
-9.1	9.1	18.266	18.266
-9.2	9.2	18.4667	18.4667
-9.3	9.3	18.6674	18.6674
-9.4	9.4	18.8682	18.8682
-9.5	9.5	19.0689	19.0689
-9.6	9.6	19.2696	19.2696
-9.7	9.7	19.4703	19.4703
-9.8	9.8	19.6711	19.6711
-9.9	9.9	19.8718	19.8718
-10.0	10.0	20.0725	20.0725
-10.1	10.1	20.2732	20.2732
-10.2	10.2	20.474	20.474
-10.3	10.3	20.6747	20.6747
-10.4	10.4	20.8754	20.8754
-10.5	10.5	21.0761	21.0761
-10.6	10.6	21.2769	21.2769
-10.7	10.7	21.4776	21.4776
-10.8	10.8	21.6783	21.6783
-10.9	10.9	21.879	21.879
-11.0	11.0	22.0798	22.0798
-11.1	11.1	22.2805	22.2805
-11.2	11.2	22.4812	22.4812
-11.3	11.3	22.6819	22.6819
-11.4	11.4	22.8827	22.8827
-11.5	11.5	23.0834	23.0834
-11.6	11.6	23.2841	23.2841
-11.7	11.7	23.4848	23.4848
-11.8	11.8	23.6856	23.6856
-11.9	11.9	23.8863	23.8863
-12.0	12.0	24.087	24.087
-12.1	12.1	24.2877	24.2877
-12.2	12.2	24.4885	24.4885
-12.3	12.3	24.6892	24.6892
-12.4	12.4	24.8899	24.8899
-12.5	12.5	25.0906	25.0906
-12.6	12.6	25.2914	25.2914
-12.7	12.7	25.4921	25.4921
-12.8	12.8	25.6928	25.6928
-12.9	12.9	25.8935	25.8935
-13.0	13.0	26.0943	26.0943
-13.1	13.1	26.295	26.295
-13.2	13.2	26.4957	26.4957
-13.3	13.3	26.6964	26.6964
-13.4	13.4	26.8972	26.8972
-13.5	13.5	27.0979	27.0979
-13.6	13.6	27.2986	27.2986
-13.7	13.7	27.4993	27.4993
-13.8	13.8	27.7001	27.7001
-13.9	13.9	27.9008	27.9008
-14.0	14.0	28.1015	28.1015
-14.1	14.1	28.3022	28.3022
-14.2	14.2	28.503	28.503
-14.3	14.3	28.7037	28.7037
-14.4	14.4	28.9044	28.9044
-14.5	14.5	29.1051	29.1051
-14.6	14.6	29.3059	29.3059
-14.7	14.7	29.5066	29.5066
-14.8	14.8	29.7073	29.7073
-14.9	14.9	29.908	29.908
-15.0	15.0	30.1088	30.1088
-15.1	15.1	30.3095	30.3095
-15.2	15.2	30.5102	30.5102
-15.3	15.3	30.7109	30.7109
-15.4	15.4	30.9117	30.9117
-15.5	15.5	31.1124	31.1124
-15.6	15.6	31.3131	31.3131
-15.7	15.7	31.5138	31.5138
-15.8	15.8	31.7146	31.7146
-15.9	15.9	31.9153	31.9153
-16.0	16.0	32.116	32.116
-16.1	16.1	32.3167	32.3167
-16.2	16.2	32.5175	32.5175
-16.3	16.3	32.7182	32.7182
-16.4	16.4	32.9189	32.9189
-16.5	16.5	33.1196	33.1196
-16.6	16.6	33.3204	33.3204
-16.7	16.7	33.5211	33.5211
-16.8	16.8	33.7218	33.7218
-16.9	16.9	33.9225	33.9225
-17.0	17.0	34.1233	34.1233
-17.1	17.1	34.324	34.324
-17.2	17.2	34.5247	34.5247
-17.3	17.3	34.7254	34.7254
-17.4	17.4	34.9262	34.9262
-17.5	17.5	35.1269	35.1269
-17.6	17.6	35.3276	35.3276
-17.7	17.7	35.5283	35.5283
-17.8	17.8	35.7291	35.7291
-17.9	17.9	35.9298	35.9298
-18.0	18.0	36.1305	36.1305
-18.1	18.1	36.3312	36.3312
-18.2	18.2	36.532	36.532
-18.3	18.3	36.7327	36.7327
-18.4	18.4	36.9334	36.9334
-18.5	18.5	37.1341	37.1341
-18.6	18.6	37.3349	37.3349
-18.7	18.7	37.5356	37.5356
-18.8	18.8	37.7363	37.7363
-18.9	18.9	37.937	37.937
-19.0	19.0	38.1378	38.1378
-19.1	19.1	38.3385	38.3385
-19.2	19.2	38.5392	38.5392
-19.3	19.3	38.7399	38.7399
-19.4	19.4	38.9407	38.9407
-19.5	19.5	39.1414	39.1414
-19.6	19.6	39.3421	39.3421
-19.7	19.7	39.5428	39.5428
-19.8	19.8	39.7436	39.7436
-19.9	19.9	39.9443	39.9443
-20.0	20.0	40.145	40.145
-20.1	20.1	40.3457	40.3457
-20.2	20.2	40.5465	40.5465
-20.3	20.3	40.7472	40.7472
-20.4	20.4	40.9479	40.9479
-20.5	20.5	41.1486	41.1486
-20.6	20.6	41.3494	41.3494
-20.7	20.7	41.5501	41.5501
-20.8	20.8	41.7508	41.7508
-20.9	20.9	41.9515	41.9515
-21.0	21.0	42.1523	42.1523
-21.1	21.1	42.353	42.353
-21.2	21.2	42.5537	42.5537
-21.3	21.3	42.7544	42.7544
-21.4	21.4	42.9552	42.9552
-21.5	21.5	43.1559	43.1559
-21.6	21.6	43.3566	43.3566
-21.7	21.7	43.5573	43.5573
-21.8	21.8	43.7581	43.7581
-21.9	21.9	43.9588	43.9588
-22.0	22.0	44.1595	44.1595
-22.1	22.1	44.3602	44.3602
-22.2	22.2	44.561	44.561
-22.3	22.3	44.7617	44.7617
-22.4	22.4	44.9624	44.9624
-22.5	22.5	45.1631	45.1631
-22.6	22.6	45.3639	45.3639
-22.7	22.7	45.5646	45.5646
-22.8	22.8	45.7653	45.7653
-22.9	22.9	45.966	45.966
-23.0	23.0	46.1668	46.1668
-23.1	23.1	46.3675	46.3675
-23.2	23.2	46.5682	46.5682
-23.3	23.3	46.7689	46.7689
-23.4	23.4	46.9697	46.9697
-23.5	23.5	47.1704	47.1696
-23.6	23.6	47.3711	47.3693
-23.7	23.7	47.5718	47.5691
-23.8	23.8	47.7726	47.7688
-23.9	23.9	47.9733	47.9686
-24.0	24.0	48.174	48.1683
-24.1	24.1	48.3747	48.368
-24.2	24.2	48.5755	48.5678
-24.3	24.3	48.7762	48.7675
-24.4	24.4	48.9769	48.9672
-24.5	24.5	49.1776	49.167
-24.6	24.6	49.3784	49.3667
-24.7	24.7	49.5791	49.5664
-24.8	24.8	49.7798	49.7662
-24.9	24.9	49.9805	49.9659
-25.0	25.0	50.1813	50.1657
-25.1	25.1	50.382	50.3654
-25.2	25.2	50.5827	50.5651
-25.3	25.3	50.7834	50.7649
-25.4	25.4	50.9842	50.9646
-25.5	25.5	51.1849	51.1643
-25.6	25.6	51.3856	51.3641
-25.7	25.7	51.5863	51.5638
-25.8	25.8	51.7871	51.7635
-25.9	25.9	51.9878	51.9633
-26.0	26.0	52.1885	52.163
-26.1	26.1	52.3892	52.3628
-26.2	26.2	52.59	52.5625
-26.3	26.3	52.7907	52.7622
-26.4	26.4	52.9914	52.962
-26.5	26.5	53.1921	53.1617
-26.6	26.6	53.3929	53.3614
-26.7	26.7	53.5936	53.5612
-26.8	26.8	53.7943	53.7609
-26.9	26.9	53.995	53.9606
-27.0	27.0	54.1958	54.1604
-27.1	27.1	54.3965	54.3601
-27.2	27.2	54.5972	54.5599
-27.3	27.3	54.7979	54.7596
-27.4	27.4	54.9987	54.9593
-27.5	27.5	55.1994	55.1591
-27.6	27.6	55.4001	55.3588
-27.7	27.7	55.6008	55.5585
-27.8	27.8	55.8016	55.7583
-27.9	27.9	56.0023	55.958
-28.0	28.0	56.203	56.1577
-28.1	28.1	56.4037	56.3575
-28.2	28.2	56.6045	56.5572
-28.3	28.3	56.8052	56.757
-28.4	28.4	57.0059	56.9567
-28.5	28.5	57.2066	57.1564
-28.6	28.6	57.4074	57.3562
-28.7	28.7	57.6081	57.5559
-28.8	28.8	57.8088	57.7556
-28.9	28.9	58.0095	57.9554
-29.0	29.0	58.2103	58.1551
-29.1	29.1	58.411	58.3548
-29.2	29.2	58.6117	58.5546
-29.3	29.3	58.8124	58.7542
-29.4	29.4	59.0132	58.9533
-29.5	29.5	59.2139	59.1524
-29.6	29.6	59.4146	59.3515
-29.7	29.7	59.6153	59.5506
-29.8	29.8	59.8161	59.7497
-29.9	29.9	60.0168	59.9488
-30.0	30.0	60.2175	60.1478
-30.1	30.1	60.4182	60.3469
-30.2	30.2	60.619	60.546
-30.3	30.3	60.8197	60.7451
-30.4	30.4	61.0204	60.9442
-30.5	30.5	61.2211	61.1433
-30.6	30.6	61.4219	61.3424
-30.7	30.7	61.6226	61.5414
-30.8	30.8	61.8233	61.7405
-30.9	30.9	62.024	61.9396
-31.0	31.0	62.2248	62.1387
-31.1	31.1	62.4255	62.3378
-31.2	31.2	62.6262	62.5369
-31.3	31.3	62.8269	62.736
-31.4	31.4	63.0277	62.9351
-31.5	31.5	63.2284	63.1341
-31.6	31.6	63.4291	63.3332
-31.7	31.7	63.6298	63.5323
-31.8	31.8	63.8306	63.7314
-31.9	31.9	64.0313	63.9305
-32.0	32.0	64.232	64.1296
-32.1	32.1	64.4327	64.3287
-32.2	32.2	64.6335	64.5277
-32.3	32.3	64.8342	64.7268
-32.4	32.4	65.0349	64.9259
-32.5	32.5	65.2356	65.125
-32.6	32.6	65.4364	65.3241
-32.7	32.7	65.6371	65.5232
-32.8	32.8	65.8378	65.7223
-32.9	32.9	66.0385	65.9213
-33.0	33.0	66.2393	66.1204
-33.1	33.1	66.44	66.3195
-33.2	33.2	66.6407	66.5186
-33.3	33.3	66.8414	66.7177
-33.4	33.4	67.0422	66.9168
-33.5	33.5	67.2429	67.1159
-33.6	33.6	67.4436	67.315
-33.7	33.7	67.6443	67.514
-33.8	33.8	67.8451	67.7131
-33.9	33.9	68.0458	67.9122
-34.0	34.0	68.2465	68.1113
-34.1	34.1	68.4472	68.3104
-34.2	34.2	68.648	68.5095
-34.3	34.3	68.8487	68.7086
-34.4	34.4	69.0494	68.9076
-34.5	34.5	69.2501	69.1067
-34.6	34.6	69.4509	69.3058
-34.7	34.7	69.6516	69.5049
-34.8	34.8	69.8523	69.704
-34.9	34.9	70.053	69.9031
-35.0	35.0	70.2538	70.1022
-35.1	35.1	70.4545	70.3013
-35.2	35.2	70.6552	70.5003
-35.3	35.3	70.8559	70.6994
-35.4	35.4	71.0567	70.8985
-35.5	35.5	71.2574	71.0976
-35.6	35.6	71.4581	71.2967
-35.7	35.7	71.6588	71.4958
-35.8	35.8	71.8596	71.6949
-35.9	35.9	72.0603	71.8939
-36.0	36.0	72.261	72.093
-36.1	36.1	72.4617	72.2921
-36.2	36.2	72.6625	72.4912
-36.3	36.3	72.8632	72.6903
-36.4	36.4	73.0639	72.8892
-36.5	36.5	73.2646	73.0876
-36.6	36.6	73.4654	73.2861
-36.7	36.7	73.6661	73.4846
-36.8	36.8	73.8668	73.6831
-36.9	36.9	74.0675	73.8815
-37.0	37.0	74.2683	74.08
-37.1	37.1	74.469	74.2785
-37.2	37.2	74.6697	74.4769
-37.3	37.3	74.8704	74.6754
-37.4	37.4	75.0712	74.8739
-37.5	37.5	75.2719	75.0723
-37.6	37.6	75.4726	75.2708
-37.7	37.7	75.6733	75.4688
-37.8	37.8	75.8741	75.6662
-37.9	37.9	76.0748	75.8635
-38.0	38.0	76.2755	76.0609
-38.1	38.1	76.4762	76.2583
-38.2	38.2	76.677	76.4557
-38.3	38.3	76.8777	76.6531
-38.4	38.4	77.0784	76.8504
-38.5	38.5	77.2791	77.0478
-38.6	38.6	77.4799	77.2446
-38.7	38.7	77.6806	77.4412
-38.8	38.8	77.8813	77.6379
-38.9	38.9	78.082	77.8345
-39.0	39.0	78.2828	78.0311
-39.1	39.1	78.4835	78.2277
-39.2	39.2	78.6842	78.4244
-39.3	39.3	78.8849	78.6198
-39.4	39.4	79.0857	78.8148
-39.5	39.5	79.2864	79.0098
-39.6	39.6	79.4871	79.2048
-39.7	39.7	79.6878	79.3998
-39.8	39.8	79.8886	79.5948
-39.9	39.9	80.0893	79.7898
-40.0	40.0	80.29	79.9848
-40.1	40.1	80.4907	80.1797
-40.2	40.2	80.6915	80.3747
-40.3	40.3	80.8922	80.5693
-40.4	40.4	81.0929	80.7635
-40.5	40.5	81.2936	80.9578
-40.6	40.6	81.4944	81.152
-40.7	40.7	81.6951	81.346
-40.8	40.8	81.8958	81.5384
-40.9	40.9	82.0965	81.7308
-41.0	41.0	82.2973	81.9231
-41.1	41.1	82.498	82.1155
-41.2	41.2	82.6987	82.3079
-41.3	41.3	82.8994	82.5002
-41.4	41.4	83.1002	82.6926
-41.5	41.5	83.3009	82.8849
-41.6	41.6	83.5016	83.0773
-41.7	41.7	83.7023	83.2697
-41.8	41.8	83.9031	83.4619
-41.9	41.9	84.1038	83.6542
-42.0	42.0	84.3045	83.8464
-42.1	42.1	84.5052	84.0387
-42.2	42.2	84.706	84.2309
-42.3	42.3	84.9067	84.4232
-42.4	42.4	85.1074	84.6154
-42.5	42.5	85.3081	84.8076
-42.6	42.6	85.5089	84.9999
-42.7	42.7	85.7096	85.1921
-42.8	42.8	85.9103	85.3828
-42.9	42.9	86.111	85.5718
-43.0	43.0	86.3118	85.7607
-43.1	43.1	86.5125	85.9496
-43.2	43.2	86.7132	86.1385
-43.3	43.3	86.914	86.3266
-43.4	43.4	87.1147	86.5139
-43.5	43.5	87.3154	86.7009
-43.6	43.6	87.5161	86.8873
-43.7	43.7	87.7169	87.0735
-43.8	43.8	87.9176	87.2596
-43.9	43.9	88.1183	87.4456
-44.0	44.0	88.319	87.6317
-44.1	44.1	88.5198	87.8177
-44.2	44.2	88.7205	88.0037
-44.3	44.3	88.9212	88.1897
-44.4	44.4	89.1219	88.3755
-44.5	44.5	89.3227	88.5614
-44.6	44.6	89.5234	88.7473
-44.7	44.7	89.7241	88.9331
-44.8	44.8	89.9248	89.119
-44.9	44.9	90.1256	89.3048
-45.0	45.0	90.3263	89.4907
-45.1	45.1	90.527	89.6744
-45.2	45.2	90.7277	89.8569
-45.3	45.3	90.9285	90.0394
-45.4	45.4	91.1292	90.2218
-45.5	45.5	91.3299	90.4043
-45.6	45.6	91.5306	90.5868
-45.7	45.7	91.7314	90.7693
-45.8	45.8	91.9321	90.9518
-45.9	45.9	92.1328	91.1342
-46.0	46.0	92.3335	91.3165
-46.1	46.1	92.5343	91.4972
-46.2	46.2	92.735	91.6746
-46.3	46.3	92.9357	91.8484
-46.4	46.4	93.1364	92.0205
-46.5	46.5	93.3372	92.1925
-46.6	46.6	93.5379	92.361
-46.7	46.7	93.7386	92.5252
-46.8	46.8	93.9393	92.6894
-46.9	46.9	94.1401	92.8526
-47.0	47.0	94.3408	93.0132
-47.1	47.1	94.5415	93.1738
-47.2	47.2	94.7422	93.3344
-47.3	47.3	94.943	93.495
-47.4	47.4	95.1437	93.6545
-47.5	47.5	95.3444	93.8107
-47.6	47.6	95.5451	93.9668
-47.7	47.7	95.7459	94.1218
-47.8	47.8	95.9466	94.2762
-47.9	47.9	96.1473	94.4278
-48.0	48.0	96.348	94.5783
-48.1	48.1	96.5488	94.7289
-48.2	48.2	96.7495	94.8794
-48.3	48.3	96.9502	95.0299
-48.4	48.4	97.1509	95.1766
-48.5	48.5	97.3517	95.3149
-48.6	48.6	97.5524	95.4487
-48.7	48.7	97.7531	95.5825
-48.8	48.8	97.9538	95.7158
-48.9	48.9	98.1546	95.8412
-49.0	49.0	98.3553	95.9621
-49.1	49.1	98.556	96.0791
-49.2	49.2	98.7567	96.192
-49.3	49.3	98.9575	96.3047
-49.4	49.4	99.1582	96.4162
-49.5	49.5	99.3589	96.5227
-49.6	49.6	99.5596	96.6283
-49.7	49.7	99.7604	96.7334
-49.8	49.8	99.9611	96.8338
-49.9	49.9	100	96.9342
-50.0	50.0	100	97.0306
-50.1	50.1	100	97.1233
-50.2	50.2	100	97.2096
-50.3	50.3	100	97.2923
-50.4	50.4	100	97.3745
-50.5	50.5	100	97.4548
-50.6	50.6	100	97.5351
-50.7	50.7	100	97.602
-50.8	50.8	100	97.6653
-50.9	50.9	100	97.727
-51.0	51.0	100	97.7792
-51.1	51.1	100	97.8287
-51.2	51.2	100	97.8714
-51.3	51.3	100	97.9141
-51.4	51.4	100	97.9568
-51.5	51.5	100	97.9995
-51.6	51.6	100	98.0423
-51.7	51.7	100	98.085
-51.8	51.8	100	98.1269
-51.9	51.9	100	98.167
-52.0	52.0	100	98.2015
-52.1	52.1	100	98.2349
-52.2	52.2	100	98.2684
-52.3	52.3	100	98.3018
-52.4	52.4	100	98.3353
-52.5	52.5	100	98.3687
-52.6	52.6	100	98.4022
-52.7	52.7	100	98.4313
-52.8	52.8	100	98.4599
-52.9	52.9	100	98.4886
-53.0	53.0	100	98.5173
-53.1	53.1	100	98.546
-53.2	53.2	100	98.5746
-53.3	53.3	100	98.6033
-53.4	53.4	100	98.6273
-53.5	53.5	100	98.6505
-53.6	53.6	100	98.6737
-53.7	53.7	100	98.6968
-53.8	53.8	100	98.72
-53.9	53.9	100	98.7431
-54.0	54.0	100	98.7663
-54.1	54.1	100	98.7892
-54.2	54.2	100	98.8115
-54.3	54.3	100	98.8338
-54.4	54.4	100	98.8561
-54.5	54.5	100	98.8784
-54.6	54.6	100	98.9007
-54.7	54.7	100	98.923
-54.8	54.8	100	98.9453
-54.9	54.9	100	98.9676
-55.0	55.0	100	98.9899
-55.1	55.1	100	99.0122
-55.2	55.2	100	99.0345
-55.3	55.3	100	99.0568
-55.4	55.4	100	99.0786
-55.5	55.5	100	99.0992
-55.6	55.6	100	99.1197
-55.7	55.7	100	99.1403
-55.8	55.8	100	99.1609
-55.9	55.9	100	99.1815
-56.0	56.0	100	99.2017
-56.1	56.1	100	99.2214
-56.2	56.2	100	99.2396
-56.3	56.3	100	99.2579
-56.4	56.4	100	99.276
-56.5	56.5	100	99.292
-56.6	56.6	100	99.3081
-56.7	56.7	100	99.3241
-56.8	56.8	100	99.3397
-56.9	56.9	100	99.3545
-57.0	57.0	100	99.3694
-57.1	57.1	100	99.3843
-57.2	57.2	100	99.3988
-57.3	57.3	100	99.4132
-57.4	57.4	100	99.427
-57.5	57.5	100	99.4404
-57.6	57.6	100	99.4538
-57.7	57.7	100	99.4672
-57.8	57.8	100	99.4804
-57.9	57.9	100	99.4929
-58.0	58.0	100	99.5055
-58.1	58.1	100	99.5177
-58.2	58.2	100	99.5298
-58.3	58.3	100	99.542
-58.4	58.4	100	99.5542
-58.5	58.5	100	99.5663
-58.6	58.6	100	99.5781
-58.7	58.7	100	99.5899
-58.8	58.8	100	99.6017
-58.9	58.9	100	99.6135
-59.0	59.0	100	99.6253
-59.1	59.1	100	99.6371
-59.2	59.2	100	99.649
-59.3	59.3	100	99.6603
-59.4	59.4	100	99.6714
-59.5	59.5	100	99.6826
-59.6	59.6	100	99.6937
-59.7	59.7	100	99.7049
-59.8	59.8	100	99.7154
-59.9	59.9	100	99.7255
-60.0	60.0	100	99.7355
-60.1	60.1	100	99.7452
-60.2	60.2	100	99.7548
-60.3	60.3	100	99.7643
-60.4	60.4	100	99.7739
-60.5	60.5	100	99.7835
-60.6	60.6	100	99.793
-60.7	60.7	100	99.8026
-60.8	60.8	100	99.8121
-60.9	60.9	100	99.8217
-61.0	61.0	100	99.8306
-61.1	61.1	100	99.839
-61.2	61.2	100	99.8473
-61.3	61.3	100	99.8555
-61.4	61.4	100	99.8622
-61.5	61.5	100	99.8689
-61.6	61.6	100	99.8756
-61.7	61.7	100	99.8823
-61.8	61.8	100	99.8888
-61.9	61.9	100	99.8953
-62.0	62.0	100	99.9018
-62.1	62.1	100	99.9083
-62.2	62.2	100	99.9142
-62.3	62.3	100	99.9189
-62.4	62.4	100	99.9236
-62.5	62.5	100	99.9283
-62.6	62.6	100	99.9329
-62.7	62.7	100	99.9376
-62.8	62.8	100	99.9423
-62.9	62.9	100	99.9469
-63.0	63.0	100	99.9516
-63.1	63.1	100	99.9563
-63.2	63.2	100	99.9609
-63.3	63.3	100	99.9656
-63.4	63.4	100	99.9703
-63.5	63.5	100	99.9729
-63.6	63.6	100	99.9752
-63.7	63.7	100	99.9775
-63.8	63.8	100	99.9798
-63.9	63.9	100	99.982
-64.0	64.0	100	99.9843
-64.1	64.1	100	99.9866
-64.2	64.2	100	99.9889
-64.3	64.3	100	99.9912
-64.4	64.4	100	99.9934
-64.5	64.5	100	99.9957
-64.6	64.6	100	99.998
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	1
-Size	Random	Optimal	Data Grid
-0.0	0.0	0	0
-0.1	0.1	0.19928	0.19928
-0.2	0.2	0.39856	0.39856
-0.3	0.3	0.59784	0.59784
-0.4	0.4	0.797121	0.797121
-0.5	0.5	0.996401	0.996401
-0.6	0.6	1.19568	1.19568
-0.7	0.7	1.39496	1.39496
-0.8	0.8	1.59424	1.59424
-0.9	0.9	1.79352	1.79352
-1.0	1.0	1.9928	1.9928
-1.1	1.1	2.19208	2.19208
-1.2	1.2	2.39136	2.39136
-1.3	1.3	2.59064	2.59064
-1.4	1.4	2.78992	2.78992
-1.5	1.5	2.9892	2.9892
-1.6	1.6	3.18848	3.18848
-1.7	1.7	3.38776	3.38776
-1.8	1.8	3.58704	3.58704
-1.9	1.9	3.78632	3.78632
-2.0	2.0	3.9856	3.9856
-2.1	2.1	4.18488	4.18488
-2.2	2.2	4.38416	4.38416
-2.3	2.3	4.58344	4.58344
-2.4	2.4	4.78272	4.78272
-2.5	2.5	4.982	4.982
-2.6	2.6	5.18128	5.18128
-2.7	2.7	5.38056	5.38056
-2.8	2.8	5.57984	5.57984
-2.9	2.9	5.77912	5.77912
-3.0	3.0	5.9784	5.9784
-3.1	3.1	6.17768	6.17768
-3.2	3.2	6.37697	6.37697
-3.3	3.3	6.57625	6.57625
-3.4	3.4	6.77553	6.77553
-3.5	3.5	6.97481	6.97481
-3.6	3.6	7.17409	7.17409
-3.7	3.7	7.37337	7.37337
-3.8	3.8	7.57265	7.57265
-3.9	3.9	7.77193	7.77193
-4.0	4.0	7.97121	7.97121
-4.1	4.1	8.17049	8.17049
-4.2	4.2	8.36977	8.36977
-4.3	4.3	8.56905	8.56905
-4.4	4.4	8.76833	8.76833
-4.5	4.5	8.96761	8.96761
-4.6	4.6	9.16689	9.16689
-4.7	4.7	9.36617	9.36617
-4.8	4.8	9.56545	9.56545
-4.9	4.9	9.76473	9.76473
-5.0	5.0	9.96401	9.96401
-5.1	5.1	10.1633	10.1633
-5.2	5.2	10.3626	10.3626
-5.3	5.3	10.5618	10.5618
-5.4	5.4	10.7611	10.7611
-5.5	5.5	10.9604	10.9604
-5.6	5.6	11.1597	11.1597
-5.7	5.7	11.359	11.359
-5.8	5.8	11.5582	11.5582
-5.9	5.9	11.7575	11.7575
-6.0	6.0	11.9568	11.9568
-6.1	6.1	12.1561	12.1561
-6.2	6.2	12.3554	12.3554
-6.3	6.3	12.5547	12.5547
-6.4	6.4	12.7539	12.7539
-6.5	6.5	12.9532	12.9532
-6.6	6.6	13.1525	13.1525
-6.7	6.7	13.3518	13.3518
-6.8	6.8	13.5511	13.5511
-6.9	6.9	13.7503	13.7503
-7.0	7.0	13.9496	13.9496
-7.1	7.1	14.1489	14.1489
-7.2	7.2	14.3482	14.3482
-7.3	7.3	14.5475	14.5475
-7.4	7.4	14.7467	14.7467
-7.5	7.5	14.946	14.946
-7.6	7.6	15.1453	15.1453
-7.7	7.7	15.3446	15.3446
-7.8	7.8	15.5439	15.5439
-7.9	7.9	15.7431	15.7431
-8.0	8.0	15.9424	15.9424
-8.1	8.1	16.1417	16.1417
-8.2	8.2	16.341	16.341
-8.3	8.3	16.5403	16.5403
-8.4	8.4	16.7395	16.7395
-8.5	8.5	16.9388	16.9388
-8.6	8.6	17.1381	17.1381
-8.7	8.7	17.3374	17.3374
-8.8	8.8	17.5367	17.5367
-8.9	8.9	17.7359	17.7359
-9.0	9.0	17.9352	17.9352
-9.1	9.1	18.1345	18.1345
-9.2	9.2	18.3338	18.3338
-9.3	9.3	18.5331	18.5331
-9.4	9.4	18.7323	18.7323
-9.5	9.5	18.9316	18.9316
-9.6	9.6	19.1309	19.1309
-9.7	9.7	19.3302	19.3302
-9.8	9.8	19.5295	19.5295
-9.9	9.9	19.7287	19.7287
-10.0	10.0	19.928	19.928
-10.1	10.1	20.1273	20.1273
-10.2	10.2	20.3266	20.3266
-10.3	10.3	20.5259	20.5259
-10.4	10.4	20.7251	20.7251
-10.5	10.5	20.9244	20.9244
-10.6	10.6	21.1237	21.1237
-10.7	10.7	21.323	21.323
-10.8	10.8	21.5223	21.5223
-10.9	10.9	21.7215	21.7215
-11.0	11.0	21.9208	21.9208
-11.1	11.1	22.1201	22.1201
-11.2	11.2	22.3194	22.3194
-11.3	11.3	22.5187	22.5187
-11.4	11.4	22.7179	22.7179
-11.5	11.5	22.9172	22.9172
-11.6	11.6	23.1165	23.1165
-11.7	11.7	23.3158	23.3158
-11.8	11.8	23.5151	23.5151
-11.9	11.9	23.7143	23.7143
-12.0	12.0	23.9136	23.9136
-12.1	12.1	24.1129	24.1129
-12.2	12.2	24.3122	24.3122
-12.3	12.3	24.5115	24.5115
-12.4	12.4	24.7107	24.7107
-12.5	12.5	24.91	24.91
-12.6	12.6	25.1093	25.1093
-12.7	12.7	25.3086	25.3086
-12.8	12.8	25.5079	25.5079
-12.9	12.9	25.7071	25.7071
-13.0	13.0	25.9064	25.9064
-13.1	13.1	26.1057	26.1057
-13.2	13.2	26.305	26.305
-13.3	13.3	26.5043	26.5043
-13.4	13.4	26.7035	26.7035
-13.5	13.5	26.9028	26.9028
-13.6	13.6	27.1021	27.1021
-13.7	13.7	27.3014	27.3014
-13.8	13.8	27.5007	27.5007
-13.9	13.9	27.6999	27.6999
-14.0	14.0	27.8992	27.8992
-14.1	14.1	28.0985	28.0985
-14.2	14.2	28.2978	28.2978
-14.3	14.3	28.4971	28.4971
-14.4	14.4	28.6963	28.6963
-14.5	14.5	28.8956	28.8956
-14.6	14.6	29.0949	29.0949
-14.7	14.7	29.2942	29.2942
-14.8	14.8	29.4935	29.4935
-14.9	14.9	29.6927	29.6927
-15.0	15.0	29.892	29.892
-15.1	15.1	30.0913	30.0913
-15.2	15.2	30.2906	30.2906
-15.3	15.3	30.4899	30.4899
-15.4	15.4	30.6891	30.6891
-15.5	15.5	30.8884	30.8884
-15.6	15.6	31.0877	31.0877
-15.7	15.7	31.287	31.287
-15.8	15.8	31.4863	31.4863
-15.9	15.9	31.6855	31.6855
-16.0	16.0	31.8848	31.8848
-16.1	16.1	32.0841	32.0841
-16.2	16.2	32.2834	32.2834
-16.3	16.3	32.4827	32.4827
-16.4	16.4	32.6819	32.6819
-16.5	16.5	32.8812	32.8812
-16.6	16.6	33.0805	33.0805
-16.7	16.7	33.2798	33.2798
-16.8	16.8	33.4791	33.4791
-16.9	16.9	33.6783	33.6783
-17.0	17.0	33.8776	33.8776
-17.1	17.1	34.0769	34.0769
-17.2	17.2	34.2762	34.2762
-17.3	17.3	34.4755	34.4755
-17.4	17.4	34.6747	34.6747
-17.5	17.5	34.874	34.874
-17.6	17.6	35.0733	35.0733
-17.7	17.7	35.2726	35.2726
-17.8	17.8	35.4719	35.4719
-17.9	17.9	35.6711	35.6711
-18.0	18.0	35.8704	35.8704
-18.1	18.1	36.0697	36.0697
-18.2	18.2	36.269	36.269
-18.3	18.3	36.4683	36.4683
-18.4	18.4	36.6675	36.6675
-18.5	18.5	36.8668	36.8668
-18.6	18.6	37.0661	37.0661
-18.7	18.7	37.2654	37.2654
-18.8	18.8	37.4647	37.4647
-18.9	18.9	37.664	37.664
-19.0	19.0	37.8632	37.8632
-19.1	19.1	38.0625	38.0625
-19.2	19.2	38.2618	38.2618
-19.3	19.3	38.4611	38.4611
-19.4	19.4	38.6604	38.6604
-19.5	19.5	38.8596	38.8596
-19.6	19.6	39.0589	39.0589
-19.7	19.7	39.2582	39.2582
-19.8	19.8	39.4575	39.4575
-19.9	19.9	39.6568	39.6568
-20.0	20.0	39.856	39.856
-20.1	20.1	40.0553	40.0553
-20.2	20.2	40.2546	40.2546
-20.3	20.3	40.4539	40.4539
-20.4	20.4	40.6532	40.6532
-20.5	20.5	40.8524	40.8524
-20.6	20.6	41.0517	41.0517
-20.7	20.7	41.251	41.251
-20.8	20.8	41.4503	41.4503
-20.9	20.9	41.6496	41.6496
-21.0	21.0	41.8488	41.8488
-21.1	21.1	42.0481	42.0481
-21.2	21.2	42.2474	42.2474
-21.3	21.3	42.4467	42.4467
-21.4	21.4	42.646	42.646
-21.5	21.5	42.8452	42.8452
-21.6	21.6	43.0445	43.0445
-21.7	21.7	43.2438	43.2438
-21.8	21.8	43.4431	43.4431
-21.9	21.9	43.6424	43.6424
-22.0	22.0	43.8416	43.8416
-22.1	22.1	44.0409	44.0409
-22.2	22.2	44.2402	44.2402
-22.3	22.3	44.4395	44.4395
-22.4	22.4	44.6388	44.6388
-22.5	22.5	44.838	44.838
-22.6	22.6	45.0373	45.0373
-22.7	22.7	45.2366	45.2366
-22.8	22.8	45.4359	45.4359
-22.9	22.9	45.6352	45.6352
-23.0	23.0	45.8344	45.8344
-23.1	23.1	46.0337	46.0337
-23.2	23.2	46.233	46.233
-23.3	23.3	46.4323	46.4323
-23.4	23.4	46.6316	46.6316
-23.5	23.5	46.8308	46.8308
-23.6	23.6	47.0301	47.0301
-23.7	23.7	47.2294	47.2294
-23.8	23.8	47.4287	47.4287
-23.9	23.9	47.628	47.628
-24.0	24.0	47.8272	47.8272
-24.1	24.1	48.0265	48.0265
-24.2	24.2	48.2258	48.2258
-24.3	24.3	48.4251	48.4251
-24.4	24.4	48.6244	48.6244
-24.5	24.5	48.8236	48.8236
-24.6	24.6	49.0229	49.0229
-24.7	24.7	49.2222	49.2222
-24.8	24.8	49.4215	49.4215
-24.9	24.9	49.6208	49.6208
-25.0	25.0	49.82	49.82
-25.1	25.1	50.0193	50.0193
-25.2	25.2	50.2186	50.2186
-25.3	25.3	50.4179	50.4179
-25.4	25.4	50.6172	50.6172
-25.5	25.5	50.8164	50.8164
-25.6	25.6	51.0157	51.0157
-25.7	25.7	51.215	51.215
-25.8	25.8	51.4143	51.4143
-25.9	25.9	51.6136	51.6136
-26.0	26.0	51.8128	51.8128
-26.1	26.1	52.0121	52.0121
-26.2	26.2	52.2114	52.2114
-26.3	26.3	52.4107	52.4107
-26.4	26.4	52.61	52.61
-26.5	26.5	52.8092	52.8092
-26.6	26.6	53.0085	53.0085
-26.7	26.7	53.2078	53.2078
-26.8	26.8	53.4071	53.4071
-26.9	26.9	53.6064	53.6064
-27.0	27.0	53.8056	53.8056
-27.1	27.1	54.0049	54.0049
-27.2	27.2	54.2042	54.2042
-27.3	27.3	54.4035	54.4035
-27.4	27.4	54.6028	54.6028
-27.5	27.5	54.802	54.802
-27.6	27.6	55.0013	55.0013
-27.7	27.7	55.2006	55.2006
-27.8	27.8	55.3999	55.3999
-27.9	27.9	55.5992	55.5992
-28.0	28.0	55.7984	55.7984
-28.1	28.1	55.9977	55.9977
-28.2	28.2	56.197	56.197
-28.3	28.3	56.3963	56.3963
-28.4	28.4	56.5956	56.5956
-28.5	28.5	56.7948	56.7948
-28.6	28.6	56.9941	56.9941
-28.7	28.7	57.1934	57.1934
-28.8	28.8	57.3927	57.3927
-28.9	28.9	57.592	57.592
-29.0	29.0	57.7912	57.7912
-29.1	29.1	57.9905	57.9905
-29.2	29.2	58.1898	58.1898
-29.3	29.3	58.3891	58.3891
-29.4	29.4	58.5884	58.5884
-29.5	29.5	58.7876	58.7876
-29.6	29.6	58.9869	58.9869
-29.7	29.7	59.1862	59.1862
-29.8	29.8	59.3855	59.3855
-29.9	29.9	59.5848	59.5848
-30.0	30.0	59.784	59.784
-30.1	30.1	59.9833	59.9833
-30.2	30.2	60.1826	60.1826
-30.3	30.3	60.3819	60.3819
-30.4	30.4	60.5812	60.5812
-30.5	30.5	60.7804	60.7804
-30.6	30.6	60.9797	60.9797
-30.7	30.7	61.179	61.179
-30.8	30.8	61.3783	61.3783
-30.9	30.9	61.5776	61.5776
-31.0	31.0	61.7768	61.7768
-31.1	31.1	61.9761	61.9761
-31.2	31.2	62.1754	62.1754
-31.3	31.3	62.3747	62.3747
-31.4	31.4	62.574	62.574
-31.5	31.5	62.7733	62.7733
-31.6	31.6	62.9725	62.9725
-31.7	31.7	63.1718	63.1718
-31.8	31.8	63.3711	63.3711
-31.9	31.9	63.5704	63.5704
-32.0	32.0	63.7697	63.7697
-32.1	32.1	63.9689	63.9689
-32.2	32.2	64.1682	64.1682
-32.3	32.3	64.3675	64.3675
-32.4	32.4	64.5668	64.5668
-32.5	32.5	64.7661	64.7661
-32.6	32.6	64.9653	64.9653
-32.7	32.7	65.1646	65.1646
-32.8	32.8	65.3639	65.3639
-32.9	32.9	65.5632	65.5632
-33.0	33.0	65.7625	65.7625
-33.1	33.1	65.9617	65.9617
-33.2	33.2	66.161	66.161
-33.3	33.3	66.3603	66.3603
-33.4	33.4	66.5596	66.5596
-33.5	33.5	66.7589	66.7589
-33.6	33.6	66.9581	66.9581
-33.7	33.7	67.1574	67.1574
-33.8	33.8	67.3567	67.3567
-33.9	33.9	67.556	67.556
-34.0	34.0	67.7553	67.7553
-34.1	34.1	67.9545	67.9545
-34.2	34.2	68.1538	68.1538
-34.3	34.3	68.3531	68.3531
-34.4	34.4	68.5524	68.5524
-34.5	34.5	68.7517	68.7517
-34.6	34.6	68.9509	68.9509
-34.7	34.7	69.1502	69.1502
-34.8	34.8	69.3495	69.3495
-34.9	34.9	69.5488	69.5488
-35.0	35.0	69.7481	69.7481
-35.1	35.1	69.9473	69.9473
-35.2	35.2	70.1466	70.1466
-35.3	35.3	70.3459	70.3459
-35.4	35.4	70.5452	70.5432
-35.5	35.5	70.7445	70.7402
-35.6	35.6	70.9437	70.9372
-35.7	35.7	71.143	71.1342
-35.8	35.8	71.3423	71.3313
-35.9	35.9	71.5416	71.5283
-36.0	36.0	71.7409	71.7253
-36.1	36.1	71.9401	71.9223
-36.2	36.2	72.1394	72.1193
-36.3	36.3	72.3387	72.3163
-36.4	36.4	72.538	72.5134
-36.5	36.5	72.7373	72.7104
-36.6	36.6	72.9365	72.907
-36.7	36.7	73.1358	73.1017
-36.8	36.8	73.3351	73.2963
-36.9	36.9	73.5344	73.491
-37.0	37.0	73.7337	73.6856
-37.1	37.1	73.9329	73.8802
-37.2	37.2	74.1322	74.0749
-37.3	37.3	74.3315	74.2695
-37.4	37.4	74.5308	74.4642
-37.5	37.5	74.7301	74.6588
-37.6	37.6	74.9293	74.8535
-37.7	37.7	75.1286	75.0481
-37.8	37.8	75.3279	75.2428
-37.9	37.9	75.5272	75.4361
-38.0	38.0	75.7265	75.629
-38.1	38.1	75.9257	75.8218
-38.2	38.2	76.125	76.0147
-38.3	38.3	76.3243	76.2075
-38.4	38.4	76.5236	76.4001
-38.5	38.5	76.7229	76.5927
-38.6	38.6	76.9221	76.7854
-38.7	38.7	77.1214	76.978
-38.8	38.8	77.3207	77.1691
-38.9	38.9	77.52	77.3601
-39.0	39.0	77.7193	77.5511
-39.1	39.1	77.9185	77.7415
-39.2	39.2	78.1178	77.9313
-39.3	39.3	78.3171	78.1211
-39.4	39.4	78.5164	78.3109
-39.5	39.5	78.7157	78.5007
-39.6	39.6	78.9149	78.6905
-39.7	39.7	79.1142	78.8803
-39.8	39.8	79.3135	79.0701
-39.9	39.9	79.5128	79.2598
-40.0	40.0	79.7121	79.4495
-40.1	40.1	79.9113	79.6388
-40.2	40.2	80.1106	79.8281
-40.3	40.3	80.3099	80.0169
-40.4	40.4	80.5092	80.2051
-40.5	40.5	80.7085	80.3933
-40.6	40.6	80.9077	80.5815
-40.7	40.7	81.107	80.7697
-40.8	40.8	81.3063	80.9578
-40.9	40.9	81.5056	81.1453
-41.0	41.0	81.7049	81.3329
-41.1	41.1	81.9041	81.5205
-41.2	41.2	82.1034	81.708
-41.3	41.3	82.3027	81.8956
-41.4	41.4	82.502	82.0831
-41.5	41.5	82.7013	82.2707
-41.6	41.6	82.9005	82.4579
-41.7	41.7	83.0998	82.6451
-41.8	41.8	83.2991	82.8323
-41.9	41.9	83.4984	83.0195
-42.0	42.0	83.6977	83.2067
-42.1	42.1	83.8969	83.3935
-42.2	42.2	84.0962	83.5804
-42.3	42.3	84.2955	83.7665
-42.4	42.4	84.4948	83.9525
-42.5	42.5	84.6941	84.1385
-42.6	42.6	84.8933	84.3245
-42.7	42.7	85.0926	84.51
-42.8	42.8	85.2919	84.6951
-42.9	42.9	85.4912	84.8799
-43.0	43.0	85.6905	85.0644
-43.1	43.1	85.8897	85.2489
-43.2	43.2	86.089	85.4334
-43.3	43.3	86.2883	85.6173
-43.4	43.4	86.4876	85.8007
-43.5	43.5	86.6869	85.984
-43.6	43.6	86.8862	86.1673
-43.7	43.7	87.0854	86.3486
-43.8	43.8	87.2847	86.5298
-43.9	43.9	87.484	86.711
-44.0	44.0	87.6833	86.8908
-44.1	44.1	87.8826	87.0699
-44.2	44.2	88.0818	87.2488
-44.3	44.3	88.2811	87.4276
-44.4	44.4	88.4804	87.6065
-44.5	44.5	88.6797	87.7853
-44.6	44.6	88.879	87.9642
-44.7	44.7	89.0782	88.1418
-44.8	44.8	89.2775	88.319
-44.9	44.9	89.4768	88.4961
-45.0	45.0	89.6761	88.6733
-45.1	45.1	89.8754	88.8504
-45.2	45.2	90.0746	89.0275
-45.3	45.3	90.2739	89.2047
-45.4	45.4	90.4732	89.3818
-45.5	45.5	90.6725	89.5589
-45.6	45.6	90.8718	89.7361
-45.7	45.7	91.071	89.9132
-45.8	45.8	91.2703	90.0904
-45.9	45.9	91.4696	90.2675
-46.0	46.0	91.6689	90.4441
-46.1	46.1	91.8682	90.6203
-46.2	46.2	92.0674	90.7966
-46.3	46.3	92.2667	90.9729
-46.4	46.4	92.466	91.1492
-46.5	46.5	92.6653	91.3255
-46.6	46.6	92.8646	91.5018
-46.7	46.7	93.0638	91.6772
-46.8	46.8	93.2631	91.848
-46.9	46.9	93.4624	92.0188
-47.0	47.0	93.6617	92.1896
-47.1	47.1	93.861	92.3604
-47.2	47.2	94.0602	92.5312
-47.3	47.3	94.2595	92.7021
-47.4	47.4	94.4588	92.8725
-47.5	47.5	94.6581	93.0386
-47.6	47.6	94.8574	93.2046
-47.7	47.7	95.0566	93.3707
-47.8	47.8	95.2559	93.5368
-47.9	47.9	95.4552	93.7028
-48.0	48.0	95.6545	93.8689
-48.1	48.1	95.8538	94.034
-48.2	48.2	96.053	94.1934
-48.3	48.3	96.2523	94.3511
-48.4	48.4	96.4516	94.5079
-48.5	48.5	96.6509	94.6648
-48.6	48.6	96.8502	94.8217
-48.7	48.7	97.0494	94.9786
-48.8	48.8	97.2487	95.1355
-48.9	48.9	97.448	95.2923
-49.0	49.0	97.6473	95.4425
-49.1	49.1	97.8466	95.5899
-49.2	49.2	98.0458	95.7279
-49.3	49.3	98.2451	95.8643
-49.4	49.4	98.4444	95.9972
-49.5	49.5	98.6437	96.1168
-49.6	49.6	98.843	96.2364
-49.7	49.7	99.0422	96.354
-49.8	49.8	99.2415	96.4712
-49.9	49.9	99.4408	96.5848
-50.0	50.0	99.6401	96.6921
-50.1	50.1	99.8394	96.7956
-50.2	50.2	100	96.8952
-50.3	50.3	100	96.9949
-50.4	50.4	100	97.0898
-50.5	50.5	100	97.1842
-50.6	50.6	100	97.2777
-50.7	50.7	100	97.3663
-50.8	50.8	100	97.4537
-50.9	50.9	100	97.5409
-51.0	51.0	100	97.6241
-51.1	51.1	100	97.7033
-51.2	51.2	100	97.7781
-51.3	51.3	100	97.845
-51.4	51.4	100	97.9115
-51.5	51.5	100	97.9779
-51.6	51.6	100	98.0399
-51.7	51.7	100	98.0936
-51.8	51.8	100	98.1434
-51.9	51.9	100	98.1932
-52.0	52.0	100	98.243
-52.1	52.1	100	98.2928
-52.2	52.2	100	98.3417
-52.3	52.3	100	98.3877
-52.4	52.4	100	98.433
-52.5	52.5	100	98.4773
-52.6	52.6	100	98.5216
-52.7	52.7	100	98.5624
-52.8	52.8	100	98.6023
-52.9	52.9	100	98.6421
-53.0	53.0	100	98.682
-53.1	53.1	100	98.7219
-53.2	53.2	100	98.7591
-53.3	53.3	100	98.7953
-53.4	53.4	100	98.8316
-53.5	53.5	100	98.8636
-53.6	53.6	100	98.8921
-53.7	53.7	100	98.9206
-53.8	53.8	100	98.9472
-53.9	53.9	100	98.9704
-54.0	54.0	100	98.9903
-54.1	54.1	100	99.0086
-54.2	54.2	100	99.0267
-54.3	54.3	100	99.0448
-54.4	54.4	100	99.063
-54.5	54.5	100	99.0811
-54.6	54.6	100	99.0992
-54.7	54.7	100	99.1173
-54.8	54.8	100	99.1354
-54.9	54.9	100	99.1535
-55.0	55.0	100	99.1704
-55.1	55.1	100	99.1852
-55.2	55.2	100	99.1999
-55.3	55.3	100	99.2147
-55.4	55.4	100	99.2295
-55.5	55.5	100	99.2442
-55.6	55.6	100	99.259
-55.7	55.7	100	99.2738
-55.8	55.8	100	99.2884
-55.9	55.9	100	99.303
-56.0	56.0	100	99.3176
-56.1	56.1	100	99.3322
-56.2	56.2	100	99.3467
-56.3	56.3	100	99.3613
-56.4	56.4	100	99.3757
-56.5	56.5	100	99.3899
-56.6	56.6	100	99.4036
-56.7	56.7	100	99.4168
-56.8	56.8	100	99.4294
-56.9	56.9	100	99.4411
-57.0	57.0	100	99.4529
-57.1	57.1	100	99.4646
-57.2	57.2	100	99.4763
-57.3	57.3	100	99.4863
-57.4	57.4	100	99.4947
-57.5	57.5	100	99.5031
-57.6	57.6	100	99.5115
-57.7	57.7	100	99.5199
-57.8	57.8	100	99.5284
-57.9	57.9	100	99.5368
-58.0	58.0	100	99.5452
-58.1	58.1	100	99.5536
-58.2	58.2	100	99.562
-58.3	58.3	100	99.5704
-58.4	58.4	100	99.5787
-58.5	58.5	100	99.587
-58.6	58.6	100	99.5953
-58.7	58.7	100	99.6036
-58.8	58.8	100	99.6119
-58.9	58.9	100	99.6202
-59.0	59.0	100	99.6286
-59.1	59.1	100	99.6369
-59.2	59.2	100	99.6452
-59.3	59.3	100	99.6535
-59.4	59.4	100	99.6601
-59.5	59.5	100	99.6665
-59.6	59.6	100	99.673
-59.7	59.7	100	99.6794
-59.8	59.8	100	99.6855
-59.9	59.9	100	99.6912
-60.0	60.0	100	99.6969
-60.1	60.1	100	99.7026
-60.2	60.2	100	99.7083
-60.3	60.3	100	99.714
-60.4	60.4	100	99.7197
-60.5	60.5	100	99.7254
-60.6	60.6	100	99.7311
-60.7	60.7	100	99.7368
-60.8	60.8	100	99.742
-60.9	60.9	100	99.7461
-61.0	61.0	100	99.7501
-61.1	61.1	100	99.7542
-61.2	61.2	100	99.7583
-61.3	61.3	100	99.7623
-61.4	61.4	100	99.7664
-61.5	61.5	100	99.7703
-61.6	61.6	100	99.7737
-61.7	61.7	100	99.777
-61.8	61.8	100	99.7803
-61.9	61.9	100	99.7836
-62.0	62.0	100	99.7869
-62.1	62.1	100	99.7903
-62.2	62.2	100	99.7936
-62.3	62.3	100	99.7969
-62.4	62.4	100	99.7996
-62.5	62.5	100	99.8019
-62.6	62.6	100	99.8041
-62.7	62.7	100	99.8064
-62.8	62.8	100	99.8086
-62.9	62.9	100	99.8108
-63.0	63.0	100	99.8131
-63.1	63.1	100	99.8153
-63.2	63.2	100	99.8176
-63.3	63.3	100	99.8198
-63.4	63.4	100	99.822
-63.5	63.5	100	99.8243
-63.6	63.6	100	99.8265
-63.7	63.7	100	99.8283
-63.8	63.8	100	99.83
-63.9	63.9	100	99.8316
-64.0	64.0	100	99.8332
-64.1	64.1	100	99.8348
-64.2	64.2	100	99.8365
-64.3	64.3	100	99.8381
-64.4	64.4	100	99.8397
-64.5	64.5	100	99.8414
-64.6	64.6	100	99.843
-64.7	64.7	100	99.8446
-64.8	64.8	100	99.8462
-64.9	64.9	100	99.8479
-65.0	65.0	100	99.8495
-65.1	65.1	100	99.8511
-65.2	65.2	100	99.8527
-65.3	65.3	100	99.8544
-65.4	65.4	100	99.856
-65.5	65.5	100	99.8576
-65.6	65.6	100	99.8592
-65.7	65.7	100	99.8609
-65.8	65.8	100	99.8625
-65.9	65.9	100	99.8641
-66.0	66.0	100	99.8658
-66.1	66.1	100	99.8674
-66.2	66.2	100	99.869
-66.3	66.3	100	99.8706
-66.4	66.4	100	99.8723
-66.5	66.5	100	99.8739
-66.6	66.6	100	99.8755
-66.7	66.7	100	99.8771
-66.8	66.8	100	99.8788
-66.9	66.9	100	99.8804
-67.0	67.0	100	99.882
-67.1	67.1	100	99.8836
-67.2	67.2	100	99.8853
-67.3	67.3	100	99.8869
-67.4	67.4	100	99.8885
-67.5	67.5	100	99.8902
-67.6	67.6	100	99.8918
-67.7	67.7	100	99.8934
-67.8	67.8	100	99.895
-67.9	67.9	100	99.8967
-68.0	68.0	100	99.8983
-68.1	68.1	100	99.8999
-68.2	68.2	100	99.9015
-68.3	68.3	100	99.9032
-68.4	68.4	100	99.9048
-68.5	68.5	100	99.9064
-68.6	68.6	100	99.9081
-68.7	68.7	100	99.9097
-68.8	68.8	100	99.9113
-68.9	68.9	100	99.9129
-69.0	69.0	100	99.9146
-69.1	69.1	100	99.9162
-69.2	69.2	100	99.9178
-69.3	69.3	100	99.9194
-69.4	69.4	100	99.9211
-69.5	69.5	100	99.9227
-69.6	69.6	100	99.9243
-69.7	69.7	100	99.9259
-69.8	69.8	100	99.9276
-69.9	69.9	100	99.9292
-70.0	70.0	100	99.9308
-70.1	70.1	100	99.9325
-70.2	70.2	100	99.9341
-70.3	70.3	100	99.9357
-70.4	70.4	100	99.9373
-70.5	70.5	100	99.939
-70.6	70.6	100	99.9406
-70.7	70.7	100	99.9422
-70.8	70.8	100	99.9433
-70.9	70.9	100	99.9443
-71.0	71.0	100	99.9452
-71.1	71.1	100	99.9462
-71.2	71.2	100	99.9472
-71.3	71.3	100	99.9482
-71.4	71.4	100	99.9492
-71.5	71.5	100	99.9501
-71.6	71.6	100	99.9511
-71.7	71.7	100	99.9521
-71.8	71.8	100	99.9531
-71.9	71.9	100	99.9541
-72.0	72.0	100	99.9551
-72.1	72.1	100	99.956
-72.2	72.2	100	99.957
-72.3	72.3	100	99.958
-72.4	72.4	100	99.959
-72.5	72.5	100	99.96
-72.6	72.6	100	99.9609
-72.7	72.7	100	99.9619
-72.8	72.8	100	99.9629
-72.9	72.9	100	99.9639
-73.0	73.0	100	99.9649
-73.1	73.1	100	99.9659
-73.2	73.2	100	99.9668
-73.3	73.3	100	99.9678
-73.4	73.4	100	99.9688
-73.5	73.5	100	99.9698
-73.6	73.6	100	99.9708
-73.7	73.7	100	99.9717
-73.8	73.8	100	99.9727
-73.9	73.9	100	99.9737
-74.0	74.0	100	99.9747
-74.1	74.1	100	99.9757
-74.2	74.2	100	99.9767
-74.3	74.3	100	99.9776
-74.4	74.4	100	99.9786
-74.5	74.5	100	99.9796
-74.6	74.6	100	99.9806
-74.7	74.7	100	99.9816
-74.8	74.8	100	99.9825
-74.9	74.9	100	99.9835
-75.0	75.0	100	99.9845
-75.1	75.1	100	99.9855
-75.2	75.2	100	99.9865
-75.3	75.3	100	99.9874
-75.4	75.4	100	99.9884
-75.5	75.5	100	99.9894
-75.6	75.6	100	99.9904
-75.7	75.7	100	99.9914
-75.8	75.8	100	99.9924
-75.9	75.9	100	99.9933
-76.0	76.0	100	99.9943
-76.1	76.1	100	99.9953
-76.2	76.2	100	99.9963
-76.3	76.3	100	99.9973
-76.4	76.4	100	99.9982
-76.5	76.5	100	99.9992
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Spiral
-Database	./Spiral10000.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	3079
-Learning task	Classification analysis
-Target variable	Class
-Main target value	1
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Data Grid	Data Grid	0.934394	0.559439	0.966119
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	0	1
-$0	1412	81
-$1	121	1465
-
-Lift curves	0
-Size	Random	Optimal	Data Grid
-0.0	0.0	0	0
-0.1	0.1	0.200848	0.195827
-0.2	0.2	0.401696	0.391654
-0.3	0.3	0.602544	0.58748
-0.4	0.4	0.803392	0.783307
-0.5	0.5	1.00424	0.979134
-0.6	0.6	1.20509	1.17496
-0.7	0.7	1.40594	1.37079
-0.8	0.8	1.60678	1.56661
-0.9	0.9	1.80763	1.76244
-1.0	1.0	2.00848	1.95827
-1.1	1.1	2.20933	2.15409
-1.2	1.2	2.41018	2.34992
-1.3	1.3	2.61102	2.54579
-1.4	1.4	2.81187	2.74664
-1.5	1.5	3.01272	2.94749
-1.6	1.6	3.21357	3.14834
-1.7	1.7	3.41442	3.34918
-1.8	1.8	3.61526	3.55003
-1.9	1.9	3.81611	3.75088
-2.0	2.0	4.01696	3.95173
-2.1	2.1	4.21781	4.15258
-2.2	2.2	4.41866	4.35342
-2.3	2.3	4.6195	4.55427
-2.4	2.4	4.82035	4.75512
-2.5	2.5	5.0212	4.95597
-2.6	2.6	5.22205	5.15682
-2.7	2.7	5.4229	5.35766
-2.8	2.8	5.62374	5.55851
-2.9	2.9	5.82459	5.75936
-3.0	3.0	6.02544	5.96021
-3.1	3.1	6.22629	6.16106
-3.2	3.2	6.42714	6.3619
-3.3	3.3	6.62798	6.56275
-3.4	3.4	6.82883	6.7636
-3.5	3.5	7.02968	6.96445
-3.6	3.6	7.23053	7.1653
-3.7	3.7	7.43138	7.36614
-3.8	3.8	7.63222	7.56699
-3.9	3.9	7.83307	7.76784
-4.0	4.0	8.03392	7.96869
-4.1	4.1	8.23477	8.16954
-4.2	4.2	8.43562	8.37038
-4.3	4.3	8.63646	8.57123
-4.4	4.4	8.83731	8.77208
-4.5	4.5	9.03816	8.97293
-4.6	4.6	9.23901	9.17378
-4.7	4.7	9.43986	9.37462
-4.8	4.8	9.6407	9.56817
-4.9	4.9	9.84155	9.75646
-5.0	5.0	10.0424	9.94476
-5.1	5.1	10.2432	10.1331
-5.2	5.2	10.4441	10.3213
-5.3	5.3	10.6449	10.5145
-5.4	5.4	10.8458	10.7153
-5.5	5.5	11.0466	10.9162
-5.6	5.6	11.2475	11.117
-5.7	5.7	11.4483	11.3179
-5.8	5.8	11.6492	11.5187
-5.9	5.9	11.85	11.7196
-6.0	6.0	12.0509	11.9204
-6.1	6.1	12.2517	12.1213
-6.2	6.2	12.4526	12.3221
-6.3	6.3	12.6534	12.523
-6.4	6.4	12.8543	12.7238
-6.5	6.5	13.0551	12.9247
-6.6	6.6	13.256	13.1255
-6.7	6.7	13.4568	13.3264
-6.8	6.8	13.6577	13.5272
-6.9	6.9	13.8585	13.728
-7.0	7.0	14.0594	13.9289
-7.1	7.1	14.2602	14.1297
-7.2	7.2	14.4611	14.3256
-7.3	7.3	14.6619	14.5041
-7.4	7.4	14.8628	14.6827
-7.5	7.5	15.0636	14.8612
-7.6	7.6	15.2644	15.0397
-7.7	7.7	15.4653	15.2183
-7.8	7.8	15.6661	15.4052
-7.9	7.9	15.867	15.6061
-8.0	8.0	16.0678	15.8069
-8.1	8.1	16.2687	16.0078
-8.2	8.2	16.4695	16.2086
-8.3	8.3	16.6704	16.4095
-8.4	8.4	16.8712	16.6103
-8.5	8.5	17.0721	16.8097
-8.6	8.6	17.2729	17.0045
-8.7	8.7	17.4738	17.1993
-8.8	8.8	17.6746	17.394
-8.9	8.9	17.8755	17.5888
-9.0	9.0	18.0763	17.7835
-9.1	9.1	18.2772	17.9783
-9.2	9.2	18.478	18.1731
-9.3	9.3	18.6789	18.3678
-9.4	9.4	18.8797	18.5626
-9.5	9.5	19.0806	18.7574
-9.6	9.6	19.2814	18.9553
-9.7	9.7	19.4823	19.1561
-9.8	9.8	19.6831	19.3569
-9.9	9.9	19.884	19.5578
-10.0	10.0	20.0848	19.7586
-10.1	10.1	20.2856	19.9595
-10.2	10.2	20.4865	20.1603
-10.3	10.3	20.6873	20.3612
-10.4	10.4	20.8882	20.5509
-10.5	10.5	21.089	20.7363
-10.6	10.6	21.2899	20.9217
-10.7	10.7	21.4907	21.1071
-10.8	10.8	21.6916	21.2925
-10.9	10.9	21.8924	21.4779
-11.0	11.0	22.0933	21.6633
-11.1	11.1	22.2941	21.8487
-11.2	11.2	22.495	22.0341
-11.3	11.3	22.6958	22.2195
-11.4	11.4	22.8967	22.4049
-11.5	11.5	23.0975	22.5903
-11.6	11.6	23.2984	22.7765
-11.7	11.7	23.4992	22.9774
-11.8	11.8	23.7001	23.1782
-11.9	11.9	23.9009	23.3791
-12.0	12.0	24.1018	23.5799
-12.1	12.1	24.3026	23.7808
-12.2	12.2	24.5035	23.9816
-12.3	12.3	24.7043	24.1825
-12.4	12.4	24.9052	24.3833
-12.5	12.5	25.106	24.5841
-12.6	12.6	25.3068	24.785
-12.7	12.7	25.5077	24.9858
-12.8	12.8	25.7085	25.1867
-12.9	12.9	25.9094	25.3875
-13.0	13.0	26.1102	25.5884
-13.1	13.1	26.3111	25.7892
-13.2	13.2	26.5119	25.9901
-13.3	13.3	26.7128	26.1909
-13.4	13.4	26.9136	26.3894
-13.5	13.5	27.1145	26.5777
-13.6	13.6	27.3153	26.766
-13.7	13.7	27.5162	26.9543
-13.8	13.8	27.717	27.1426
-13.9	13.9	27.9179	27.3309
-14.0	14.0	28.1187	27.5205
-14.1	14.1	28.3196	27.7102
-14.2	14.2	28.5204	27.8999
-14.3	14.3	28.7213	28.0896
-14.4	14.4	28.9221	28.2793
-14.5	14.5	29.123	28.4677
-14.6	14.6	29.3238	28.6484
-14.7	14.7	29.5247	28.8292
-14.8	14.8	29.7255	29.01
-14.9	14.9	29.9264	29.2088
-15.0	15.0	30.1272	29.4097
-15.1	15.1	30.328	29.6105
-15.2	15.2	30.5289	29.8114
-15.3	15.3	30.7297	30.0122
-15.4	15.4	30.9306	30.213
-15.5	15.5	31.1314	30.4139
-15.6	15.6	31.3323	30.6147
-15.7	15.7	31.5331	30.8156
-15.8	15.8	31.734	31.0164
-15.9	15.9	31.9348	31.2173
-16.0	16.0	32.1357	31.4181
-16.1	16.1	32.3365	31.619
-16.2	16.2	32.5374	31.8106
-16.3	16.3	32.7382	31.976
-16.4	16.4	32.9391	32.1415
-16.5	16.5	33.1399	32.3069
-16.6	16.6	33.3408	32.4723
-16.7	16.7	33.5416	32.6377
-16.8	16.8	33.7425	32.8292
-16.9	16.9	33.9433	33.0301
-17.0	17.0	34.1442	33.2309
-17.1	17.1	34.345	33.4318
-17.2	17.2	34.5459	33.6257
-17.3	17.3	34.7467	33.8132
-17.4	17.4	34.9476	34.0006
-17.5	17.5	35.1484	34.1881
-17.6	17.6	35.3492	34.3755
-17.7	17.7	35.5501	34.563
-17.8	17.8	35.7509	34.7505
-17.9	17.9	35.9518	34.9379
-18.0	18.0	36.1526	35.1254
-18.1	18.1	36.3535	35.3128
-18.2	18.2	36.5543	35.4589
-18.3	18.3	36.7552	35.5928
-18.4	18.4	36.956	35.7819
-18.5	18.5	37.1569	35.9827
-18.6	18.6	37.3577	36.1836
-18.7	18.7	37.5586	36.3844
-18.8	18.8	37.7594	36.5853
-18.9	18.9	37.9603	36.7861
-19.0	19.0	38.1611	36.987
-19.1	19.1	38.362	37.1878
-19.2	19.2	38.5628	37.3886
-19.3	19.3	38.7637	37.5895
-19.4	19.4	38.9645	37.7903
-19.5	19.5	39.1654	37.9912
-19.6	19.6	39.3662	38.183
-19.7	19.7	39.5671	38.3727
-19.8	19.8	39.7679	38.5624
-19.9	19.9	39.9688	38.7521
-20.0	20.0	40.1696	38.9418
-20.1	20.1	40.3705	39.1315
-20.2	20.2	40.5713	39.3223
-20.3	20.3	40.7721	39.5131
-20.4	20.4	40.973	39.7039
-20.5	20.5	41.1738	39.8947
-20.6	20.6	41.3747	40.0855
-20.7	20.7	41.5755	40.2763
-20.8	20.8	41.7764	40.4718
-20.9	20.9	41.9772	40.6726
-21.0	21.0	42.1781	40.8735
-21.1	21.1	42.3789	41.0743
-21.2	21.2	42.5798	41.2751
-21.3	21.3	42.7806	41.4239
-21.4	21.4	42.9815	41.5368
-21.5	21.5	43.1823	41.6498
-21.6	21.6	43.3832	41.7628
-21.7	21.7	43.584	41.8758
-21.8	21.8	43.7849	42.0218
-21.9	21.9	43.9857	42.2182
-22.0	22.0	44.1866	42.4145
-22.1	22.1	44.3874	42.6108
-22.2	22.2	44.5883	42.8072
-22.3	22.3	44.7891	43.0035
-22.4	22.4	44.99	43.1998
-22.5	22.5	45.1908	43.3962
-22.6	22.6	45.3917	43.5925
-22.7	22.7	45.5925	43.7888
-22.8	22.8	45.7933	43.9852
-22.9	22.9	45.9942	44.1815
-23.0	23.0	46.195	44.3778
-23.1	23.1	46.3959	44.5742
-23.2	23.2	46.5967	44.7705
-23.3	23.3	46.7976	44.9668
-23.4	23.4	46.9984	45.1632
-23.5	23.5	47.1993	45.3595
-23.6	23.6	47.4001	45.5558
-23.7	23.7	47.601	45.7522
-23.8	23.8	47.8018	45.9485
-23.9	23.9	48.0027	46.1448
-24.0	24.0	48.2035	46.3412
-24.1	24.1	48.4044	46.5375
-24.2	24.2	48.6052	46.7339
-24.3	24.3	48.8061	46.9302
-24.4	24.4	49.0069	47.1265
-24.5	24.5	49.2078	47.3229
-24.6	24.6	49.4086	47.5192
-24.7	24.7	49.6095	47.7155
-24.8	24.8	49.8103	47.9119
-24.9	24.9	50.0112	48.1082
-25.0	25.0	50.212	48.3045
-25.1	25.1	50.4129	48.5009
-25.2	25.2	50.6137	48.6972
-25.3	25.3	50.8145	48.8935
-25.4	25.4	51.0154	49.0899
-25.5	25.5	51.2162	49.2862
-25.6	25.6	51.4171	49.4825
-25.7	25.7	51.6179	49.6789
-25.8	25.8	51.8188	49.8752
-25.9	25.9	52.0196	50.0715
-26.0	26.0	52.2205	50.2679
-26.1	26.1	52.4213	50.4642
-26.2	26.2	52.6222	50.6605
-26.3	26.3	52.823	50.8569
-26.4	26.4	53.0239	51.0532
-26.5	26.5	53.2247	51.2495
-26.6	26.6	53.4256	51.4459
-26.7	26.7	53.6264	51.6422
-26.8	26.8	53.8273	51.8386
-26.9	26.9	54.0281	52.0349
-27.0	27.0	54.229	52.2312
-27.1	27.1	54.4298	52.4276
-27.2	27.2	54.6307	52.6239
-27.3	27.3	54.8315	52.8202
-27.4	27.4	55.0324	53.0166
-27.5	27.5	55.2332	53.2129
-27.6	27.6	55.4341	53.4104
-27.7	27.7	55.6349	53.6088
-27.8	27.8	55.8357	53.8072
-27.9	27.9	56.0366	54.0056
-28.0	28.0	56.2374	54.204
-28.1	28.1	56.4383	54.4024
-28.2	28.2	56.6391	54.6008
-28.3	28.3	56.84	54.7992
-28.4	28.4	57.0408	54.9976
-28.5	28.5	57.2417	55.196
-28.6	28.6	57.4425	55.3944
-28.7	28.7	57.6434	55.5928
-28.8	28.8	57.8442	55.7912
-28.9	28.9	58.0451	55.9896
-29.0	29.0	58.2459	56.188
-29.1	29.1	58.4468	56.3864
-29.2	29.2	58.6476	56.5848
-29.3	29.3	58.8485	56.7832
-29.4	29.4	59.0493	56.9816
-29.5	29.5	59.2502	57.18
-29.6	29.6	59.451	57.3784
-29.7	29.7	59.6519	57.5768
-29.8	29.8	59.8527	57.7752
-29.9	29.9	60.0536	57.9736
-30.0	30.0	60.2544	58.172
-30.1	30.1	60.4553	58.3704
-30.2	30.2	60.6561	58.5688
-30.3	30.3	60.8569	58.7672
-30.4	30.4	61.0578	58.9656
-30.5	30.5	61.2586	59.164
-30.6	30.6	61.4595	59.3624
-30.7	30.7	61.6603	59.5608
-30.8	30.8	61.8612	59.7592
-30.9	30.9	62.062	59.9576
-31.0	31.0	62.2629	60.156
-31.1	31.1	62.4637	60.3544
-31.2	31.2	62.6646	60.5528
-31.3	31.3	62.8654	60.7512
-31.4	31.4	63.0663	60.9496
-31.5	31.5	63.2671	61.148
-31.6	31.6	63.468	61.3464
-31.7	31.7	63.6688	61.5448
-31.8	31.8	63.8697	61.7432
-31.9	31.9	64.0705	61.9416
-32.0	32.0	64.2714	62.14
-32.1	32.1	64.4722	62.3384
-32.2	32.2	64.6731	62.5368
-32.3	32.3	64.8739	62.7352
-32.4	32.4	65.0748	62.9336
-32.5	32.5	65.2756	63.132
-32.6	32.6	65.4765	63.3304
-32.7	32.7	65.6773	63.5288
-32.8	32.8	65.8781	63.7272
-32.9	32.9	66.079	63.9256
-33.0	33.0	66.2798	64.124
-33.1	33.1	66.4807	64.3224
-33.2	33.2	66.6815	64.5208
-33.3	33.3	66.8824	64.7192
-33.4	33.4	67.0832	64.9176
-33.5	33.5	67.2841	65.116
-33.6	33.6	67.4849	65.3144
-33.7	33.7	67.6858	65.5128
-33.8	33.8	67.8866	65.7112
-33.9	33.9	68.0875	65.9096
-34.0	34.0	68.2883	66.108
-34.1	34.1	68.4892	66.3063
-34.2	34.2	68.69	66.5047
-34.3	34.3	68.8909	66.7031
-34.4	34.4	69.0917	66.9015
-34.5	34.5	69.2926	67.0999
-34.6	34.6	69.4934	67.2983
-34.7	34.7	69.6943	67.4967
-34.8	34.8	69.8951	67.6951
-34.9	34.9	70.096	67.8935
-35.0	35.0	70.2968	68.0919
-35.1	35.1	70.4977	68.2903
-35.2	35.2	70.6985	68.4887
-35.3	35.3	70.8993	68.6871
-35.4	35.4	71.1002	68.8855
-35.5	35.5	71.301	69.0839
-35.6	35.6	71.5019	69.2784
-35.7	35.7	71.7027	69.471
-35.8	35.8	71.9036	69.6637
-35.9	35.9	72.1044	69.8563
-36.0	36.0	72.3053	70.049
-36.1	36.1	72.5061	70.2416
-36.2	36.2	72.707	70.4343
-36.3	36.3	72.9078	70.6269
-36.4	36.4	73.1087	70.8196
-36.5	36.5	73.3095	71.0122
-36.6	36.6	73.5104	71.2049
-36.7	36.7	73.7112	71.3975
-36.8	36.8	73.9121	71.5902
-36.9	36.9	74.1129	71.7828
-37.0	37.0	74.3138	71.9755
-37.1	37.1	74.5146	72.1681
-37.2	37.2	74.7155	72.3671
-37.3	37.3	74.9163	72.568
-37.4	37.4	75.1172	72.7688
-37.5	37.5	75.318	72.9697
-37.6	37.6	75.5189	73.1705
-37.7	37.7	75.7197	73.3714
-37.8	37.8	75.9205	73.5722
-37.9	37.9	76.1214	73.7731
-38.0	38.0	76.3222	73.9739
-38.1	38.1	76.5231	74.1748
-38.2	38.2	76.7239	74.3756
-38.3	38.3	76.9248	74.5765
-38.4	38.4	77.1256	74.7773
-38.5	38.5	77.3265	74.9781
-38.6	38.6	77.5273	75.179
-38.7	38.7	77.7282	75.3798
-38.8	38.8	77.929	75.5807
-38.9	38.9	78.1299	75.7815
-39.0	39.0	78.3307	75.9824
-39.1	39.1	78.5316	76.1832
-39.2	39.2	78.7324	76.376
-39.3	39.3	78.9333	76.5685
-39.4	39.4	79.1341	76.761
-39.5	39.5	79.335	76.9535
-39.6	39.6	79.5358	77.1459
-39.7	39.7	79.7367	77.3384
-39.8	39.8	79.9375	77.5309
-39.9	39.9	80.1384	77.7248
-40.0	40.0	80.3392	77.9256
-40.1	40.1	80.5401	78.1265
-40.2	40.2	80.7409	78.3197
-40.3	40.3	80.9417	78.5071
-40.4	40.4	81.1426	78.6946
-40.5	40.5	81.3434	78.8821
-40.6	40.6	81.5443	79.0695
-40.7	40.7	81.7451	79.2663
-40.8	40.8	81.946	79.4672
-40.9	40.9	82.1468	79.668
-41.0	41.0	82.3477	79.8538
-41.1	41.1	82.5485	80.0352
-41.2	41.2	82.7494	80.2166
-41.3	41.3	82.9502	80.398
-41.4	41.4	83.1511	80.5794
-41.5	41.5	83.3519	80.7609
-41.6	41.6	83.5528	80.9423
-41.7	41.7	83.7536	81.1237
-41.8	41.8	83.9545	81.3051
-41.9	41.9	84.1553	81.4865
-42.0	42.0	84.3562	81.658
-42.1	42.1	84.557	81.8253
-42.2	42.2	84.7579	81.9927
-42.3	42.3	84.9587	82.1601
-42.4	42.4	85.1596	82.3546
-42.5	42.5	85.3604	82.5554
-42.6	42.6	85.5613	82.7563
-42.7	42.7	85.7621	82.9571
-42.8	42.8	85.9629	83.158
-42.9	42.9	86.1638	83.3588
-43.0	43.0	86.3646	83.5597
-43.1	43.1	86.5655	83.7556
-43.2	43.2	86.7663	83.949
-43.3	43.3	86.9672	84.1424
-43.4	43.4	87.168	84.3358
-43.5	43.5	87.3689	84.5292
-43.6	43.6	87.5697	84.7226
-43.7	43.7	87.7706	84.916
-43.8	43.8	87.9714	85.1094
-43.9	43.9	88.1723	85.3029
-44.0	44.0	88.3731	85.4696
-44.1	44.1	88.574	85.6332
-44.2	44.2	88.7748	85.7969
-44.3	44.3	88.9757	85.9606
-44.4	44.4	89.1765	86.1242
-44.5	44.5	89.3774	86.2879
-44.6	44.6	89.5782	86.4515
-44.7	44.7	89.7791	86.6152
-44.8	44.8	89.9799	86.7836
-44.9	44.9	90.1808	86.9844
-45.0	45.0	90.3816	87.1853
-45.1	45.1	90.5825	87.3861
-45.2	45.2	90.7833	87.5312
-45.3	45.3	90.9841	87.7226
-45.4	45.4	91.185	87.9234
-45.5	45.5	91.3858	88.11
-45.6	45.6	91.5867	88.2645
-45.7	45.7	91.7875	88.419
-45.8	45.8	91.9884	88.5735
-45.9	45.9	92.1892	88.7282
-46.0	46.0	92.3901	88.8844
-46.1	46.1	92.5909	89.0406
-46.2	46.2	92.7918	89.1986
-46.3	46.3	92.9926	89.366
-46.4	46.4	93.1935	89.5334
-46.5	46.5	93.3943	89.7008
-46.6	46.6	93.5952	89.8681
-46.7	46.7	93.796	90.0355
-46.8	46.8	93.9969	90.1627
-46.9	46.9	94.1977	90.2029
-47.0	47.0	94.3986	90.3416
-47.1	47.1	94.5994	90.5242
-47.2	47.2	94.8003	90.7068
-47.3	47.3	95.0011	90.8867
-47.4	47.4	95.202	91.0474
-47.5	47.5	95.4028	91.1617
-47.6	47.6	95.6037	91.2134
-47.7	47.7	95.8045	91.259
-47.8	47.8	96.0053	91.3279
-47.9	47.9	96.2062	91.4484
-48.0	48.0	96.407	91.5499
-48.1	48.1	96.6079	91.6829
-48.2	48.2	96.8087	91.816
-48.3	48.3	97.0096	91.9399
-48.4	48.4	97.2104	92.0349
-48.5	48.5	97.4113	92.114
-48.6	48.6	97.6121	92.1825
-48.7	48.7	97.813	92.2509
-48.8	48.8	98.0138	92.3194
-48.9	48.9	98.2147	92.3879
-49.0	49.0	98.4155	92.4563
-49.1	49.1	98.6164	92.5248
-49.2	49.2	98.8172	92.5933
-49.3	49.3	99.0181	92.6618
-49.4	49.4	99.2189	92.7302
-49.5	49.5	99.4198	92.7987
-49.6	49.6	99.6206	92.8672
-49.7	49.7	99.8215	92.9356
-49.8	49.8	100	93.0041
-49.9	49.9	100	93.0726
-50.0	50.0	100	93.167
-50.1	50.1	100	93.3018
-50.2	50.2	100	93.4691
-50.3	50.3	100	93.5987
-50.4	50.4	100	93.6801
-50.5	50.5	100	93.7088
-50.6	50.6	100	93.7375
-50.7	50.7	100	93.8373
-50.8	50.8	100	93.9378
-50.9	50.9	100	94.0514
-51.0	51.0	100	94.1416
-51.1	51.1	100	94.1714
-51.2	51.2	100	94.2011
-51.3	51.3	100	94.2309
-51.4	51.4	100	94.2606
-51.5	51.5	100	94.2904
-51.6	51.6	100	94.3202
-51.7	51.7	100	94.3499
-51.8	51.8	100	94.3797
-51.9	51.9	100	94.4292
-52.0	52.0	100	94.4895
-52.1	52.1	100	94.5498
-52.2	52.2	100	94.6396
-52.3	52.3	100	94.7592
-52.4	52.4	100	94.8514
-52.5	52.5	100	94.8879
-52.6	52.6	100	94.9244
-52.7	52.7	100	94.961
-52.8	52.8	100	95.0051
-52.9	52.9	100	95.0543
-53.0	53.0	100	95.1007
-53.1	53.1	100	95.147
-53.2	53.2	100	95.1934
-53.3	53.3	100	95.2387
-53.4	53.4	100	95.2549
-53.5	53.5	100	95.2712
-53.6	53.6	100	95.2875
-53.7	53.7	100	95.3038
-53.8	53.8	100	95.3201
-53.9	53.9	100	95.3364
-54.0	54.0	100	95.3527
-54.1	54.1	100	95.3689
-54.2	54.2	100	95.3852
-54.3	54.3	100	95.4015
-54.4	54.4	100	95.4178
-54.5	54.5	100	95.4338
-54.6	54.6	100	95.4508
-54.7	54.7	100	95.4754
-54.8	54.8	100	95.5
-54.9	54.9	100	95.5246
-55.0	55.0	100	95.5492
-55.1	55.1	100	95.5738
-55.2	55.2	100	95.5984
-55.3	55.3	100	95.623
-55.4	55.4	100	95.6476
-55.5	55.5	100	95.6722
-55.6	55.6	100	95.6968
-55.7	55.7	100	95.7214
-55.8	55.8	100	95.746
-55.9	55.9	100	95.7706
-56.0	56.0	100	95.7951
-56.1	56.1	100	95.8197
-56.2	56.2	100	95.8382
-56.3	56.3	100	95.855
-56.4	56.4	100	95.8717
-56.5	56.5	100	95.8884
-56.6	56.6	100	95.8904
-56.7	56.7	100	95.8904
-56.8	56.8	100	95.8904
-56.9	56.9	100	95.9054
-57.0	57.0	100	95.929
-57.1	57.1	100	95.9526
-57.2	57.2	100	95.9763
-57.3	57.3	100	95.9999
-57.4	57.4	100	96.0246
-57.5	57.5	100	96.0581
-57.6	57.6	100	96.0916
-57.7	57.7	100	96.1251
-57.8	57.8	100	96.1621
-57.9	57.9	100	96.2123
-58.0	58.0	100	96.2626
-58.1	58.1	100	96.3128
-58.2	58.2	100	96.363
-58.3	58.3	100	96.4132
-58.4	58.4	100	96.4634
-58.5	58.5	100	96.5136
-58.6	58.6	100	96.5638
-58.7	58.7	100	96.614
-58.8	58.8	100	96.6643
-58.9	58.9	100	96.6968
-59.0	59.0	100	96.7255
-59.1	59.1	100	96.7542
-59.2	59.2	100	96.7829
-59.3	59.3	100	96.8089
-59.4	59.4	100	96.828
-59.5	59.5	100	96.8472
-59.6	59.6	100	96.8663
-59.7	59.7	100	96.8854
-59.8	59.8	100	96.9046
-59.9	59.9	100	96.9237
-60.0	60.0	100	96.9341
-60.1	60.1	100	96.9341
-60.2	60.2	100	96.9341
-60.3	60.3	100	96.9566
-60.4	60.4	100	96.9989
-60.5	60.5	100	97.0412
-60.6	60.6	100	97.0834
-60.7	60.7	100	97.1257
-60.8	60.8	100	97.168
-60.9	60.9	100	97.195
-61.0	61.0	100	97.195
-61.1	61.1	100	97.195
-61.2	61.2	100	97.1983
-61.3	61.3	100	97.227
-61.4	61.4	100	97.2557
-61.5	61.5	100	97.3122
-61.6	61.6	100	97.374
-61.7	61.7	100	97.4358
-61.8	61.8	100	97.4976
-61.9	61.9	100	97.5212
-62.0	62.0	100	97.5212
-62.1	62.1	100	97.5212
-62.2	62.2	100	97.5212
-62.3	62.3	100	97.5212
-62.4	62.4	100	97.5212
-62.5	62.5	100	97.5212
-62.6	62.6	100	97.5212
-62.7	62.7	100	97.5241
-62.8	62.8	100	97.5408
-62.9	62.9	100	97.5576
-63.0	63.0	100	97.5743
-63.1	63.1	100	97.5975
-63.2	63.2	100	97.6377
-63.3	63.3	100	97.6778
-63.4	63.4	100	97.718
-63.5	63.5	100	97.7582
-63.6	63.6	100	97.7984
-63.7	63.7	100	97.8385
-63.8	63.8	100	97.8563
-63.9	63.9	100	97.8678
-64.0	64.0	100	97.8793
-64.1	64.1	100	97.8907
-64.2	64.2	100	97.9022
-64.3	64.3	100	97.9137
-64.4	64.4	100	97.9252
-64.5	64.5	100	97.9367
-64.6	64.6	100	97.9481
-64.7	64.7	100	97.9596
-64.8	64.8	100	97.9711
-64.9	64.9	100	97.982
-65.0	65.0	100	97.992
-65.1	65.1	100	98.0021
-65.2	65.2	100	98.0121
-65.3	65.3	100	98.0221
-65.4	65.4	100	98.0322
-65.5	65.5	100	98.0422
-65.6	65.6	100	98.0523
-65.7	65.7	100	98.0623
-65.8	65.8	100	98.0723
-65.9	65.9	100	98.0824
-66.0	66.0	100	98.0924
-66.1	66.1	100	98.1025
-66.2	66.2	100	98.1189
-66.3	66.3	100	98.144
-66.4	66.4	100	98.1691
-66.5	66.5	100	98.1942
-66.6	66.6	100	98.2193
-66.7	66.7	100	98.2444
-66.8	66.8	100	98.2695
-66.9	66.9	100	98.2946
-67.0	67.0	100	98.3192
-67.1	67.1	100	98.3436
-67.2	67.2	100	98.3679
-67.3	67.3	100	98.3923
-67.4	67.4	100	98.4166
-67.5	67.5	100	98.441
-67.6	67.6	100	98.4653
-67.7	67.7	100	98.4897
-67.8	67.8	100	98.514
-67.9	67.9	100	98.5383
-68.0	68.0	100	98.5627
-68.1	68.1	100	98.5832
-68.2	68.2	100	98.6032
-68.3	68.3	100	98.6233
-68.4	68.4	100	98.6434
-68.5	68.5	100	98.6635
-68.6	68.6	100	98.6836
-68.7	68.7	100	98.7037
-68.8	68.8	100	98.7238
-68.9	68.9	100	98.7438
-69.0	69.0	100	98.7615
-69.1	69.1	100	98.7671
-69.2	69.2	100	98.7727
-69.3	69.3	100	98.7783
-69.4	69.4	100	98.7838
-69.5	69.5	100	98.7894
-69.6	69.6	100	98.795
-69.7	69.7	100	98.8006
-69.8	69.8	100	98.8062
-69.9	69.9	100	98.8117
-70.0	70.0	100	98.8173
-70.1	70.1	100	98.8229
-70.2	70.2	100	98.8364
-70.3	70.3	100	98.8587
-70.4	70.4	100	98.881
-70.5	70.5	100	98.8911
-70.6	70.6	100	98.8911
-70.7	70.7	100	98.8911
-70.8	70.8	100	98.8911
-70.9	70.9	100	98.8911
-71.0	71.0	100	98.8911
-71.1	71.1	100	98.8911
-71.2	71.2	100	98.8911
-71.3	71.3	100	98.8911
-71.4	71.4	100	98.8911
-71.5	71.5	100	98.8911
-71.6	71.6	100	98.8911
-71.7	71.7	100	98.8911
-71.8	71.8	100	98.8911
-71.9	71.9	100	98.8911
-72.0	72.0	100	98.8911
-72.1	72.1	100	98.8911
-72.2	72.2	100	98.8911
-72.3	72.3	100	98.8911
-72.4	72.4	100	98.8911
-72.5	72.5	100	98.8911
-72.6	72.6	100	98.8911
-72.7	72.7	100	98.8911
-72.8	72.8	100	98.8911
-72.9	72.9	100	98.8911
-73.0	73.0	100	98.8911
-73.1	73.1	100	98.8911
-73.2	73.2	100	98.8911
-73.3	73.3	100	98.8911
-73.4	73.4	100	98.8911
-73.5	73.5	100	98.8911
-73.6	73.6	100	98.8976
-73.7	73.7	100	98.9069
-73.8	73.8	100	98.9163
-73.9	73.9	100	98.9256
-74.0	74.0	100	98.9349
-74.1	74.1	100	98.9443
-74.2	74.2	100	98.9536
-74.3	74.3	100	98.963
-74.4	74.4	100	98.9723
-74.5	74.5	100	98.9816
-74.6	74.6	100	98.991
-74.7	74.7	100	99.0003
-74.8	74.8	100	99.0097
-74.9	74.9	100	99.019
-75.0	75.0	100	99.0215
-75.1	75.1	100	99.0215
-75.2	75.2	100	99.0215
-75.3	75.3	100	99.0215
-75.4	75.4	100	99.0215
-75.5	75.5	100	99.0215
-75.6	75.6	100	99.0215
-75.7	75.7	100	99.0215
-75.8	75.8	100	99.0215
-75.9	75.9	100	99.0215
-76.0	76.0	100	99.0215
-76.1	76.1	100	99.0215
-76.2	76.2	100	99.0215
-76.3	76.3	100	99.0215
-76.4	76.4	100	99.0215
-76.5	76.5	100	99.0215
-76.6	76.6	100	99.0267
-76.7	76.7	100	99.0373
-76.8	76.8	100	99.0479
-76.9	76.9	100	99.0584
-77.0	77.0	100	99.069
-77.1	77.1	100	99.0796
-77.2	77.2	100	99.0868
-77.3	77.3	100	99.0868
-77.4	77.4	100	99.0868
-77.5	77.5	100	99.0876
-77.6	77.6	100	99.0997
-77.7	77.7	100	99.1117
-77.8	77.8	100	99.1238
-77.9	77.9	100	99.1358
-78.0	78.0	100	99.1479
-78.1	78.1	100	99.1599
-78.2	78.2	100	99.172
-78.3	78.3	100	99.184
-78.4	78.4	100	99.1961
-78.5	78.5	100	99.2081
-78.6	78.6	100	99.2202
-78.7	78.7	100	99.2322
-78.8	78.8	100	99.2443
-78.9	78.9	100	99.2564
-79.0	79.0	100	99.2684
-79.1	79.1	100	99.2805
-79.2	79.2	100	99.2825
-79.3	79.3	100	99.2825
-79.4	79.4	100	99.2825
-79.5	79.5	100	99.2825
-79.6	79.6	100	99.2825
-79.7	79.7	100	99.2825
-79.8	79.8	100	99.2825
-79.9	79.9	100	99.2825
-80.0	80.0	100	99.2825
-80.1	80.1	100	99.2825
-80.2	80.2	100	99.2825
-80.3	80.3	100	99.2825
-80.4	80.4	100	99.2825
-80.5	80.5	100	99.2886
-80.6	80.6	100	99.3004
-80.7	80.7	100	99.3122
-80.8	80.8	100	99.324
-80.9	80.9	100	99.3358
-81.0	81.0	100	99.3476
-81.1	81.1	100	99.3477
-81.2	81.2	100	99.3477
-81.3	81.3	100	99.3477
-81.4	81.4	100	99.3477
-81.5	81.5	100	99.3477
-81.6	81.6	100	99.3477
-81.7	81.7	100	99.3477
-81.8	81.8	100	99.3477
-81.9	81.9	100	99.3477
-82.0	82.0	100	99.3477
-82.1	82.1	100	99.3477
-82.2	82.2	100	99.3477
-82.3	82.3	100	99.3477
-82.4	82.4	100	99.3477
-82.5	82.5	100	99.3477
-82.6	82.6	100	99.3477
-82.7	82.7	100	99.3477
-82.8	82.8	100	99.3477
-82.9	82.9	100	99.3477
-83.0	83.0	100	99.3477
-83.1	83.1	100	99.3514
-83.2	83.2	100	99.3583
-83.3	83.3	100	99.3652
-83.4	83.4	100	99.3722
-83.5	83.5	100	99.3791
-83.6	83.6	100	99.386
-83.7	83.7	100	99.3929
-83.8	83.8	100	99.3999
-83.9	83.9	100	99.4068
-84.0	84.0	100	99.4129
-84.1	84.1	100	99.4129
-84.2	84.2	100	99.4129
-84.3	84.3	100	99.4129
-84.4	84.4	100	99.4129
-84.5	84.5	100	99.4129
-84.6	84.6	100	99.4129
-84.7	84.7	100	99.4129
-84.8	84.8	100	99.4129
-84.9	84.9	100	99.4129
-85.0	85.0	100	99.4129
-85.1	85.1	100	99.4129
-85.2	85.2	100	99.4129
-85.3	85.3	100	99.4129
-85.4	85.4	100	99.4129
-85.5	85.5	100	99.4129
-85.6	85.6	100	99.4129
-85.7	85.7	100	99.4129
-85.8	85.8	100	99.4129
-85.9	85.9	100	99.4129
-86.0	86.0	100	99.4129
-86.1	86.1	100	99.4129
-86.2	86.2	100	99.4129
-86.3	86.3	100	99.4129
-86.4	86.4	100	99.4129
-86.5	86.5	100	99.4129
-86.6	86.6	100	99.4129
-86.7	86.7	100	99.4129
-86.8	86.8	100	99.4129
-86.9	86.9	100	99.4129
-87.0	87.0	100	99.4129
-87.1	87.1	100	99.4129
-87.2	87.2	100	99.4129
-87.3	87.3	100	99.4129
-87.4	87.4	100	99.4129
-87.5	87.5	100	99.4129
-87.6	87.6	100	99.4129
-87.7	87.7	100	99.4129
-87.8	87.8	100	99.4129
-87.9	87.9	100	99.4129
-88.0	88.0	100	99.4129
-88.1	88.1	100	99.4129
-88.2	88.2	100	99.4129
-88.3	88.3	100	99.4129
-88.4	88.4	100	99.4129
-88.5	88.5	100	99.4129
-88.6	88.6	100	99.4129
-88.7	88.7	100	99.4129
-88.8	88.8	100	99.4129
-88.9	88.9	100	99.4129
-89.0	89.0	100	99.4138
-89.1	89.1	100	99.4225
-89.2	89.2	100	99.4313
-89.3	89.3	100	99.44
-89.4	89.4	100	99.4487
-89.5	89.5	100	99.4575
-89.6	89.6	100	99.4662
-89.7	89.7	100	99.4749
-89.8	89.8	100	99.4781
-89.9	89.9	100	99.4781
-90.0	90.0	100	99.4781
-90.1	90.1	100	99.4781
-90.2	90.2	100	99.4781
-90.3	90.3	100	99.4781
-90.4	90.4	100	99.4781
-90.5	90.5	100	99.4781
-90.6	90.6	100	99.4781
-90.7	90.7	100	99.4781
-90.8	90.8	100	99.4781
-90.9	90.9	100	99.4781
-91.0	91.0	100	99.4781
-91.1	91.1	100	99.4923
-91.2	91.2	100	99.507
-91.3	91.3	100	99.5217
-91.4	91.4	100	99.5364
-91.5	91.5	100	99.5511
-91.6	91.6	100	99.5658
-91.7	91.7	100	99.5805
-91.8	91.8	100	99.5952
-91.9	91.9	100	99.6099
-92.0	92.0	100	99.6246
-92.1	92.1	100	99.6393
-92.2	92.2	100	99.654
-92.3	92.3	100	99.6687
-92.4	92.4	100	99.6738
-92.5	92.5	100	99.6738
-92.6	92.6	100	99.6738
-92.7	92.7	100	99.6738
-92.8	92.8	100	99.6738
-92.9	92.9	100	99.6738
-93.0	93.0	100	99.6738
-93.1	93.1	100	99.6738
-93.2	93.2	100	99.6738
-93.3	93.3	100	99.6738
-93.4	93.4	100	99.6738
-93.5	93.5	100	99.6738
-93.6	93.6	100	99.6872
-93.7	93.7	100	99.7083
-93.8	93.8	100	99.7295
-93.9	93.9	100	99.7506
-94.0	94.0	100	99.7718
-94.1	94.1	100	99.7929
-94.2	94.2	100	99.8087
-94.3	94.3	100	99.8183
-94.4	94.4	100	99.8278
-94.5	94.5	100	99.8374
-94.6	94.6	100	99.847
-94.7	94.7	100	99.8565
-94.8	94.8	100	99.8661
-94.9	94.9	100	99.8757
-95.0	95.0	100	99.8852
-95.1	95.1	100	99.8948
-95.2	95.2	100	99.9044
-95.3	95.3	100	99.9139
-95.4	95.4	100	99.9235
-95.5	95.5	100	99.933
-95.6	95.6	100	99.9348
-95.7	95.7	100	99.9348
-95.8	95.8	100	99.9348
-95.9	95.9	100	99.9348
-96.0	96.0	100	99.9348
-96.1	96.1	100	99.9348
-96.2	96.2	100	99.9348
-96.3	96.3	100	99.9348
-96.4	96.4	100	99.9348
-96.5	96.5	100	99.9348
-96.6	96.6	100	99.9348
-96.7	96.7	100	99.9348
-96.8	96.8	100	99.9389
-96.9	96.9	100	99.9441
-97.0	97.0	100	99.9492
-97.1	97.1	100	99.9544
-97.2	97.2	100	99.9595
-97.3	97.3	100	99.9647
-97.4	97.4	100	99.9698
-97.5	97.5	100	99.975
-97.6	97.6	100	99.9801
-97.7	97.7	100	99.9853
-97.8	97.8	100	99.9904
-97.9	97.9	100	99.9956
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	1
-Size	Random	Optimal	Data Grid
-0.0	0.0	0	0
-0.1	0.1	0.199159	0.199159
-0.2	0.2	0.398318	0.398318
-0.3	0.3	0.597477	0.597477
-0.4	0.4	0.796636	0.796636
-0.5	0.5	0.995796	0.995796
-0.6	0.6	1.19495	1.19495
-0.7	0.7	1.39411	1.39411
-0.8	0.8	1.59327	1.59327
-0.9	0.9	1.79243	1.79243
-1.0	1.0	1.99159	1.99159
-1.1	1.1	2.19075	2.19075
-1.2	1.2	2.38991	2.38991
-1.3	1.3	2.58907	2.58907
-1.4	1.4	2.78823	2.78823
-1.5	1.5	2.98739	2.98739
-1.6	1.6	3.18655	3.18655
-1.7	1.7	3.38571	3.38571
-1.8	1.8	3.58486	3.58486
-1.9	1.9	3.78402	3.78402
-2.0	2.0	3.98318	3.98318
-2.1	2.1	4.18234	4.17793
-2.2	2.2	4.3815	4.37198
-2.3	2.3	4.58066	4.56604
-2.4	2.4	4.77982	4.76009
-2.5	2.5	4.97898	4.95414
-2.6	2.6	5.17814	5.14819
-2.7	2.7	5.3773	5.34225
-2.8	2.8	5.57646	5.5363
-2.9	2.9	5.77561	5.73035
-3.0	3.0	5.97477	5.9244
-3.1	3.1	6.17393	6.11846
-3.2	3.2	6.37309	6.31251
-3.3	3.3	6.57225	6.50757
-3.4	3.4	6.77141	6.70673
-3.5	3.5	6.97057	6.90589
-3.6	3.6	7.16973	7.10505
-3.7	3.7	7.36889	7.3042
-3.8	3.8	7.56805	7.50336
-3.9	3.9	7.76721	7.70252
-4.0	4.0	7.96636	7.90168
-4.1	4.1	8.16552	8.10084
-4.2	4.2	8.36468	8.3
-4.3	4.3	8.56384	8.49916
-4.4	4.4	8.763	8.69832
-4.5	4.5	8.96216	8.89577
-4.6	4.6	9.16132	9.08544
-4.7	4.7	9.36048	9.27512
-4.8	4.8	9.55964	9.46479
-4.9	4.9	9.7588	9.65447
-5.0	5.0	9.95796	9.84414
-5.1	5.1	10.1571	10.0338
-5.2	5.2	10.3563	10.2235
-5.3	5.3	10.5554	10.4132
-5.4	5.4	10.7546	10.6028
-5.5	5.5	10.9538	10.7925
-5.6	5.6	11.1529	10.9822
-5.7	5.7	11.3521	11.1719
-5.8	5.8	11.5512	11.3615
-5.9	5.9	11.7504	11.545
-6.0	6.0	11.9495	11.7232
-6.1	6.1	12.1487	11.9014
-6.2	6.2	12.3479	12.0796
-6.3	6.3	12.547	12.2578
-6.4	6.4	12.7462	12.436
-6.5	6.5	12.9453	12.6219
-6.6	6.6	13.1445	12.8211
-6.7	6.7	13.3437	13.0202
-6.8	6.8	13.5428	13.2194
-6.9	6.9	13.742	13.4186
-7.0	7.0	13.9411	13.6177
-7.1	7.1	14.1403	13.8169
-7.2	7.2	14.3395	14.016
-7.3	7.3	14.5386	14.2152
-7.4	7.4	14.7378	14.4144
-7.5	7.5	14.9369	14.6135
-7.6	7.6	15.1361	14.8127
-7.7	7.7	15.3353	15.0067
-7.8	7.8	15.5344	15.1913
-7.9	7.9	15.7336	15.3759
-8.0	8.0	15.9327	15.5605
-8.1	8.1	16.1319	15.7451
-8.2	8.2	16.331	15.9296
-8.3	8.3	16.5302	16.1142
-8.4	8.4	16.7294	16.2988
-8.5	8.5	16.9285	16.4834
-8.6	8.6	17.1277	16.668
-8.7	8.7	17.3268	16.8526
-8.8	8.8	17.526	17.0372
-8.9	8.9	17.7252	17.2217
-9.0	9.0	17.9243	17.4069
-9.1	9.1	18.1235	17.606
-9.2	9.2	18.3226	17.8052
-9.3	9.3	18.5218	18.0043
-9.4	9.4	18.721	18.2035
-9.5	9.5	18.9201	18.4027
-9.6	9.6	19.1193	18.6018
-9.7	9.7	19.3184	18.801
-9.8	9.8	19.5176	19.0001
-9.9	9.9	19.7168	19.1993
-10.0	10.0	19.9159	19.3984
-10.1	10.1	20.1151	19.5976
-10.2	10.2	20.3142	19.7968
-10.3	10.3	20.5134	19.9927
-10.4	10.4	20.7125	20.1832
-10.5	10.5	20.9117	20.3737
-10.6	10.6	21.1109	20.5642
-10.7	10.7	21.31	20.7547
-10.8	10.8	21.5092	20.9452
-10.9	10.9	21.7083	21.1357
-11.0	11.0	21.9075	21.3262
-11.1	11.1	22.1067	21.5245
-11.2	11.2	22.3058	21.7237
-11.3	11.3	22.505	21.9228
-11.4	11.4	22.7041	22.122
-11.5	11.5	22.9033	22.3212
-11.6	11.6	23.1025	22.5203
-11.7	11.7	23.3016	22.7195
-11.8	11.8	23.5008	22.9186
-11.9	11.9	23.6999	23.1178
-12.0	12.0	23.8991	23.3169
-12.1	12.1	24.0983	23.5161
-12.2	12.2	24.2974	23.7153
-12.3	12.3	24.4966	23.9144
-12.4	12.4	24.6957	24.1136
-12.5	12.5	24.8949	24.3127
-12.6	12.6	25.094	24.5119
-12.7	12.7	25.2932	24.7111
-12.8	12.8	25.4924	24.9102
-12.9	12.9	25.6915	25.1094
-13.0	13.0	25.8907	25.3085
-13.1	13.1	26.0898	25.5077
-13.2	13.2	26.289	25.7069
-13.3	13.3	26.4882	25.906
-13.4	13.4	26.6873	26.1052
-13.5	13.5	26.8865	26.3043
-13.6	13.6	27.0856	26.5035
-13.7	13.7	27.2848	26.7027
-13.8	13.8	27.484	26.9018
-13.9	13.9	27.6831	27.101
-14.0	14.0	27.8823	27.3001
-14.1	14.1	28.0814	27.4993
-14.2	14.2	28.2806	27.6984
-14.3	14.3	28.4798	27.8976
-14.4	14.4	28.6789	28.0968
-14.5	14.5	28.8781	28.2959
-14.6	14.6	29.0772	28.4951
-14.7	14.7	29.2764	28.6942
-14.8	14.8	29.4755	28.8934
-14.9	14.9	29.6747	29.0926
-15.0	15.0	29.8739	29.2917
-15.1	15.1	30.073	29.4909
-15.2	15.2	30.2722	29.69
-15.3	15.3	30.4713	29.8892
-15.4	15.4	30.6705	30.0884
-15.5	15.5	30.8697	30.2875
-15.6	15.6	31.0688	30.4867
-15.7	15.7	31.268	30.6858
-15.8	15.8	31.4671	30.885
-15.9	15.9	31.6663	31.0842
-16.0	16.0	31.8655	31.2833
-16.1	16.1	32.0646	31.4764
-16.2	16.2	32.2638	31.6687
-16.3	16.3	32.4629	31.861
-16.4	16.4	32.6621	32.0533
-16.5	16.5	32.8613	32.2456
-16.6	16.6	33.0604	32.4379
-16.7	16.7	33.2596	32.6302
-16.8	16.8	33.4587	32.8224
-16.9	16.9	33.6579	33.0147
-17.0	17.0	33.8571	33.2102
-17.1	17.1	34.0562	33.4094
-17.2	17.2	34.2554	33.6085
-17.3	17.3	34.4545	33.8077
-17.4	17.4	34.6537	34.0069
-17.5	17.5	34.8528	34.206
-17.6	17.6	35.052	34.4052
-17.7	17.7	35.2512	34.6043
-17.8	17.8	35.4503	34.8035
-17.9	17.9	35.6495	35.0027
-18.0	18.0	35.8486	35.2018
-18.1	18.1	36.0478	35.401
-18.2	18.2	36.247	35.6001
-18.3	18.3	36.4461	35.7993
-18.4	18.4	36.6453	35.9984
-18.5	18.5	36.8444	36.1976
-18.6	18.6	37.0436	36.3968
-18.7	18.7	37.2428	36.5959
-18.8	18.8	37.4419	36.7951
-18.9	18.9	37.6411	36.9942
-19.0	19.0	37.8402	37.1934
-19.1	19.1	38.0394	37.3808
-19.2	19.2	38.2386	37.5683
-19.3	19.3	38.4377	37.7557
-19.4	19.4	38.6369	37.9431
-19.5	19.5	38.836	38.1306
-19.6	19.6	39.0352	38.3237
-19.7	19.7	39.2343	38.5228
-19.8	19.8	39.4335	38.722
-19.9	19.9	39.6327	38.9212
-20.0	20.0	39.8318	39.1203
-20.1	20.1	40.031	39.3195
-20.2	20.2	40.2301	39.5186
-20.3	20.3	40.4293	39.7178
-20.4	20.4	40.6285	39.9169
-20.5	20.5	40.8276	40.1161
-20.6	20.6	41.0268	40.3153
-20.7	20.7	41.2259	40.5144
-20.8	20.8	41.4251	40.7136
-20.9	20.9	41.6243	40.9108
-21.0	21.0	41.8234	41.098
-21.1	21.1	42.0226	41.2852
-21.2	21.2	42.2217	41.4724
-21.3	21.3	42.4209	41.6596
-21.4	21.4	42.6201	41.8468
-21.5	21.5	42.8192	42.034
-21.6	21.6	43.0184	42.2212
-21.7	21.7	43.2175	42.4084
-21.8	21.8	43.4167	42.5956
-21.9	21.9	43.6158	42.7829
-22.0	22.0	43.815	42.9701
-22.1	22.1	44.0142	43.1573
-22.2	22.2	44.2133	43.3445
-22.3	22.3	44.4125	43.5317
-22.4	22.4	44.6116	43.7189
-22.5	22.5	44.8108	43.9061
-22.6	22.6	45.01	44.1044
-22.7	22.7	45.2091	44.3036
-22.8	22.8	45.4083	44.5027
-22.9	22.9	45.6074	44.6948
-23.0	23.0	45.8066	44.8834
-23.1	23.1	46.0058	45.0721
-23.2	23.2	46.2049	45.2608
-23.3	23.3	46.4041	45.4495
-23.4	23.4	46.6032	45.6381
-23.5	23.5	46.8024	45.8321
-23.6	23.6	47.0016	46.0313
-23.7	23.7	47.2007	46.2305
-23.8	23.8	47.3999	46.4296
-23.9	23.9	47.599	46.6288
-24.0	24.0	47.7982	46.8279
-24.1	24.1	47.9973	47.0271
-24.2	24.2	48.1965	47.2263
-24.3	24.3	48.3957	47.4254
-24.4	24.4	48.5948	47.6246
-24.5	24.5	48.794	47.8237
-24.6	24.6	48.9931	48.0229
-24.7	24.7	49.1923	48.2221
-24.8	24.8	49.3915	48.4212
-24.9	24.9	49.5906	48.6204
-25.0	25.0	49.7898	48.8195
-25.1	25.1	49.9889	49.0162
-25.2	25.2	50.1881	49.2061
-25.3	25.3	50.3873	49.396
-25.4	25.4	50.5864	49.5859
-25.5	25.5	50.7856	49.7758
-25.6	25.6	50.9847	49.9657
-25.7	25.7	51.1839	50.1556
-25.8	25.8	51.3831	50.3455
-25.9	25.9	51.5822	50.5354
-26.0	26.0	51.7814	50.7253
-26.1	26.1	51.9805	50.9152
-26.2	26.2	52.1797	51.1051
-26.3	26.3	52.3788	51.295
-26.4	26.4	52.578	51.4848
-26.5	26.5	52.7772	51.6776
-26.6	26.6	52.9763	51.8767
-26.7	26.7	53.1755	52.0759
-26.8	26.8	53.3746	52.275
-26.9	26.9	53.5738	52.4742
-27.0	27.0	53.773	52.6734
-27.1	27.1	53.9721	52.8725
-27.2	27.2	54.1713	53.0717
-27.3	27.3	54.3704	53.2708
-27.4	27.4	54.5696	53.47
-27.5	27.5	54.7688	53.6691
-27.6	27.6	54.9679	53.8683
-27.7	27.7	55.1671	54.0675
-27.8	27.8	55.3662	54.2666
-27.9	27.9	55.5654	54.4658
-28.0	28.0	55.7646	54.6649
-28.1	28.1	55.9637	54.8641
-28.2	28.2	56.1629	55.0633
-28.3	28.3	56.362	55.2624
-28.4	28.4	56.5612	55.4616
-28.5	28.5	56.7603	55.6607
-28.6	28.6	56.9595	55.8599
-28.7	28.7	57.1587	56.0591
-28.8	28.8	57.3578	56.2582
-28.9	28.9	57.557	56.4574
-29.0	29.0	57.7561	56.6565
-29.1	29.1	57.9553	56.8557
-29.2	29.2	58.1545	57.0549
-29.3	29.3	58.3536	57.254
-29.4	29.4	58.5528	57.4532
-29.5	29.5	58.7519	57.6523
-29.6	29.6	58.9511	57.8415
-29.7	29.7	59.1503	58.0186
-29.8	29.8	59.3494	58.1956
-29.9	29.9	59.5486	58.3814
-30.0	30.0	59.7477	58.575
-30.1	30.1	59.9469	58.7686
-30.2	30.2	60.1461	58.9623
-30.3	30.3	60.3452	59.1559
-30.4	30.4	60.5444	59.3495
-30.5	30.5	60.7435	59.5431
-30.6	30.6	60.9427	59.7368
-30.7	30.7	61.1418	59.9304
-30.8	30.8	61.341	60.124
-30.9	30.9	61.5402	60.3176
-31.0	31.0	61.7393	60.5113
-31.1	31.1	61.9385	60.6929
-31.2	31.2	62.1376	60.8721
-31.3	31.3	62.3368	61.0514
-31.4	31.4	62.536	61.2306
-31.5	31.5	62.7351	61.4099
-31.6	31.6	62.9343	61.5891
-31.7	31.7	63.1334	61.7684
-31.8	31.8	63.3326	61.9476
-31.9	31.9	63.5318	62.1268
-32.0	32.0	63.7309	62.3057
-32.1	32.1	63.9301	62.4807
-32.2	32.2	64.1292	62.6557
-32.3	32.3	64.3284	62.8308
-32.4	32.4	64.5276	63.0058
-32.5	32.5	64.7267	63.1808
-32.6	32.6	64.9259	63.3558
-32.7	32.7	65.125	63.5308
-32.8	32.8	65.3242	63.7058
-32.9	32.9	65.5234	63.8809
-33.0	33.0	65.7225	64.0559
-33.1	33.1	65.9217	64.2306
-33.2	33.2	66.1208	64.4049
-33.3	33.3	66.32	64.5791
-33.4	33.4	66.5191	64.7534
-33.5	33.5	66.7183	64.9277
-33.6	33.6	66.9175	65.1019
-33.7	33.7	67.1166	65.2762
-33.8	33.8	67.3158	65.4505
-33.9	33.9	67.5149	65.6334
-34.0	34.0	67.7141	65.8226
-34.1	34.1	67.9133	66.0118
-34.2	34.2	68.1124	66.201
-34.3	34.3	68.3116	66.3902
-34.4	34.4	68.5107	66.5794
-34.5	34.5	68.7099	66.7686
-34.6	34.6	68.9091	66.9578
-34.7	34.7	69.1082	67.147
-34.8	34.8	69.3074	67.3362
-34.9	34.9	69.5065	67.5254
-35.0	35.0	69.7057	67.7146
-35.1	35.1	69.9049	67.9038
-35.2	35.2	70.104	68.0922
-35.3	35.3	70.3032	68.2799
-35.4	35.4	70.5023	68.4677
-35.5	35.5	70.7015	68.6555
-35.6	35.6	70.9006	68.8433
-35.7	35.7	71.0998	69.031
-35.8	35.8	71.299	69.2188
-35.9	35.9	71.4981	69.4066
-36.0	36.0	71.6973	69.5944
-36.1	36.1	71.8964	69.7822
-36.2	36.2	72.0956	69.9699
-36.3	36.3	72.2948	70.1515
-36.4	36.4	72.4939	70.3108
-36.5	36.5	72.6931	70.4701
-36.6	36.6	72.8922	70.6294
-36.7	36.7	73.0914	70.7888
-36.8	36.8	73.2906	70.9481
-36.9	36.9	73.4897	71.1074
-37.0	37.0	73.6889	71.2836
-37.1	37.1	73.888	71.4661
-37.2	37.2	74.0872	71.6487
-37.3	37.3	74.2864	71.8313
-37.4	37.4	74.4855	72.0276
-37.5	37.5	74.6847	72.2267
-37.6	37.6	74.8838	72.4259
-37.7	37.7	75.083	72.625
-37.8	37.8	75.2821	72.8242
-37.9	37.9	75.4813	73.0234
-38.0	38.0	75.6805	73.2225
-38.1	38.1	75.8796	73.4217
-38.2	38.2	76.0788	73.5974
-38.3	38.3	76.2779	73.7353
-38.4	38.4	76.4771	73.8731
-38.5	38.5	76.6763	74.011
-38.6	38.6	76.8754	74.1542
-38.7	38.7	77.0746	74.3249
-38.8	38.8	77.2737	74.4956
-38.9	38.9	77.4729	74.6915
-39.0	39.0	77.6721	74.8907
-39.1	39.1	77.8712	75.0898
-39.2	39.2	78.0704	75.2622
-39.3	39.3	78.2695	75.4194
-39.4	39.4	78.4687	75.5767
-39.5	39.5	78.6679	75.7339
-39.6	39.6	78.867	75.8911
-39.7	39.7	79.0662	76.0484
-39.8	39.8	79.2653	76.2252
-39.9	39.9	79.4645	76.4244
-40.0	40.0	79.6636	76.6235
-40.1	40.1	79.8628	76.8124
-40.2	40.2	80.062	76.9926
-40.3	40.3	80.2611	77.1727
-40.4	40.4	80.4603	77.3529
-40.5	40.5	80.6594	77.5331
-40.6	40.6	80.8586	77.7133
-40.7	40.7	81.0578	77.8935
-40.8	40.8	81.2569	78.0668
-40.9	40.9	81.4561	78.2375
-41.0	41.0	81.6552	78.4082
-41.1	41.1	81.8544	78.579
-41.2	41.2	82.0536	78.7459
-41.3	41.3	82.2527	78.8952
-41.4	41.4	82.4519	79.0446
-41.5	41.5	82.651	79.194
-41.6	41.6	82.8502	79.3433
-41.7	41.7	83.0494	79.4927
-41.8	41.8	83.2485	79.6421
-41.9	41.9	83.4477	79.7914
-42.0	42.0	83.6468	79.9408
-42.1	42.1	83.846	80.0902
-42.2	42.2	84.0451	80.2396
-42.3	42.3	84.2443	80.402
-42.4	42.4	84.4435	80.5679
-42.5	42.5	84.6426	80.7339
-42.6	42.6	84.8418	80.8998
-42.7	42.7	85.0409	81.0745
-42.8	42.8	85.2401	81.2502
-42.9	42.9	85.4393	81.4259
-43.0	43.0	85.6384	81.6017
-43.1	43.1	85.8376	81.7774
-43.2	43.2	86.0367	81.9617
-43.3	43.3	86.2359	82.1609
-43.4	43.4	86.4351	82.36
-43.5	43.5	86.6342	82.5572
-43.6	43.6	86.8334	82.7398
-43.7	43.7	87.0325	82.9223
-43.8	43.8	87.2317	83.1049
-43.9	43.9	87.4309	83.2857
-44.0	44.0	87.63	83.4605
-44.1	44.1	87.8292	83.6353
-44.2	44.2	88.0283	83.8101
-44.3	44.3	88.2275	83.9848
-44.4	44.4	88.4266	84.1596
-44.5	44.5	88.6258	84.3344
-44.6	44.6	88.825	84.5092
-44.7	44.7	89.0241	84.6839
-44.8	44.8	89.2233	84.8587
-44.9	44.9	89.4224	85.0335
-45.0	45.0	89.6216	85.2082
-45.1	45.1	89.8208	85.383
-45.2	45.2	90.0199	85.5578
-45.3	45.3	90.2191	85.7326
-45.4	45.4	90.4182	85.9073
-45.5	45.5	90.6174	86.0896
-45.6	45.6	90.8166	86.2729
-45.7	45.7	91.0157	86.4559
-45.8	45.8	91.2149	86.6389
-45.9	45.9	91.414	86.8219
-46.0	46.0	91.6132	87.0049
-46.1	46.1	91.8124	87.1879
-46.2	46.2	92.0115	87.371
-46.3	46.3	92.2107	87.554
-46.4	46.4	92.4098	87.737
-46.5	46.5	92.609	87.92
-46.6	46.6	92.8082	88.103
-46.7	46.7	93.0073	88.286
-46.8	46.8	93.2065	88.4402
-46.9	46.9	93.4056	88.5934
-47.0	47.0	93.6048	88.7466
-47.1	47.1	93.8039	88.8998
-47.2	47.2	94.0031	89.0502
-47.3	47.3	94.2023	89.2056
-47.4	47.4	94.4014	89.3685
-47.5	47.5	94.6006	89.5315
-47.6	47.6	94.7997	89.6944
-47.7	47.7	94.9989	89.8022
-47.8	47.8	95.1981	89.8828
-47.9	47.9	95.3972	89.9928
-48.0	48.0	95.5964	90.1322
-48.1	48.1	95.7955	90.2716
-48.2	48.2	95.9947	90.4216
-48.3	48.3	96.1939	90.5913
-48.4	48.4	96.393	90.7609
-48.5	48.5	96.5922	90.9306
-48.6	48.6	96.7913	91.1002
-48.7	48.7	96.9905	91.2699
-48.8	48.8	97.1897	91.4395
-48.9	48.9	97.3888	91.6092
-49.0	49.0	97.588	91.7789
-49.1	49.1	97.7871	91.8885
-49.2	49.2	97.9863	91.975
-49.3	49.3	98.1854	92.0746
-49.4	49.4	98.3846	92.1748
-49.5	49.5	98.5838	92.3455
-49.6	49.6	98.7829	92.5162
-49.7	49.7	98.9821	92.6346
-49.8	49.8	99.1812	92.7053
-49.9	49.9	99.3804	92.7385
-50.0	50.0	99.5796	92.804
-50.1	50.1	99.7787	92.9095
-50.2	50.2	99.9779	93.0408
-50.3	50.3	100	93.1721
-50.4	50.4	100	93.3033
-50.5	50.5	100	93.4346
-50.6	50.6	100	93.5659
-50.7	50.7	100	93.6971
-50.8	50.8	100	93.8284
-50.9	50.9	100	93.9597
-51.0	51.0	100	94.0909
-51.1	51.1	100	94.2222
-51.2	51.2	100	94.3535
-51.3	51.3	100	94.4847
-51.4	51.4	100	94.616
-51.5	51.5	100	94.7472
-51.6	51.6	100	94.8679
-51.7	51.7	100	94.9729
-51.8	51.8	100	95.0492
-51.9	51.9	100	95.1164
-52.0	52.0	100	95.1837
-52.1	52.1	100	95.2823
-52.2	52.2	100	95.3619
-52.3	52.3	100	95.4927
-52.4	52.4	100	95.6467
-52.5	52.5	100	95.7945
-52.6	52.6	100	95.8804
-52.7	52.7	100	95.9202
-52.8	52.8	100	95.9409
-52.9	52.9	100	95.959
-53.0	53.0	100	95.9771
-53.1	53.1	100	96.0388
-53.2	53.2	100	96.1981
-53.3	53.3	100	96.2711
-53.4	53.4	100	96.3043
-53.5	53.5	100	96.3375
-53.6	53.6	100	96.3707
-53.7	53.7	100	96.4039
-53.8	53.8	100	96.4371
-53.9	53.9	100	96.4795
-54.0	54.0	100	96.5238
-54.1	54.1	100	96.568
-54.2	54.2	100	96.6139
-54.3	54.3	100	96.6598
-54.4	54.4	100	96.7058
-54.5	54.5	100	96.7517
-54.6	54.6	100	96.7658
-54.7	54.7	100	96.7658
-54.8	54.8	100	96.7753
-54.9	54.9	100	96.8305
-55.0	55.0	100	96.8305
-55.1	55.1	100	96.8305
-55.2	55.2	100	96.8305
-55.3	55.3	100	96.8627
-55.4	55.4	100	96.8996
-55.5	55.5	100	96.9365
-55.6	55.6	100	96.9734
-55.7	55.7	100	97.0102
-55.8	55.8	100	97.0471
-55.9	55.9	100	97.084
-56.0	56.0	100	97.1209
-56.1	56.1	100	97.1547
-56.2	56.2	100	97.1621
-56.3	56.3	100	97.1695
-56.4	56.4	100	97.1768
-56.5	56.5	100	97.1842
-56.6	56.6	100	97.1916
-56.7	56.7	100	97.199
-56.8	56.8	100	97.2063
-56.9	56.9	100	97.2137
-57.0	57.0	100	97.2186
-57.1	57.1	100	97.2186
-57.2	57.2	100	97.2186
-57.3	57.3	100	97.2186
-57.4	57.4	100	97.2186
-57.5	57.5	100	97.2186
-57.6	57.6	100	97.2186
-57.7	57.7	100	97.2249
-57.8	57.8	100	97.2581
-57.9	57.9	100	97.2913
-58.0	58.0	100	97.3245
-58.1	58.1	100	97.3536
-58.2	58.2	100	97.3729
-58.3	58.3	100	97.3922
-58.4	58.4	100	97.4114
-58.5	58.5	100	97.4307
-58.6	58.6	100	97.45
-58.7	58.7	100	97.4693
-58.8	58.8	100	97.4885
-58.9	58.9	100	97.5078
-59.0	59.0	100	97.5271
-59.1	59.1	100	97.542
-59.2	59.2	100	97.542
-59.3	59.3	100	97.542
-59.4	59.4	100	97.546
-59.5	59.5	100	97.5593
-59.6	59.6	100	97.5726
-59.7	59.7	100	97.5859
-59.8	59.8	100	97.5991
-59.9	59.9	100	97.6067
-60.0	60.0	100	97.6067
-60.1	60.1	100	97.6067
-60.2	60.2	100	97.6136
-60.3	60.3	100	97.6219
-60.4	60.4	100	97.6302
-60.5	60.5	100	97.6385
-60.6	60.6	100	97.6468
-60.7	60.7	100	97.6551
-60.8	60.8	100	97.6634
-60.9	60.9	100	97.6714
-61.0	61.0	100	97.6714
-61.1	61.1	100	97.6714
-61.2	61.2	100	97.6714
-61.3	61.3	100	97.6714
-61.4	61.4	100	97.6714
-61.5	61.5	100	97.6714
-61.6	61.6	100	97.6714
-61.7	61.7	100	97.6714
-61.8	61.8	100	97.6714
-61.9	61.9	100	97.6714
-62.0	62.0	100	97.6714
-62.1	62.1	100	97.6714
-62.2	62.2	100	97.6714
-62.3	62.3	100	97.6714
-62.4	62.4	100	97.6714
-62.5	62.5	100	97.6714
-62.6	62.6	100	97.6714
-62.7	62.7	100	97.6714
-62.8	62.8	100	97.6714
-62.9	62.9	100	97.6732
-63.0	63.0	100	97.6814
-63.1	63.1	100	97.6895
-63.2	63.2	100	97.6976
-63.3	63.3	100	97.7058
-63.4	63.4	100	97.7139
-63.5	63.5	100	97.722
-63.6	63.6	100	97.7301
-63.7	63.7	100	97.7383
-63.8	63.8	100	97.7464
-63.9	63.9	100	97.7545
-64.0	64.0	100	97.7627
-64.1	64.1	100	97.7708
-64.2	64.2	100	97.7789
-64.3	64.3	100	97.787
-64.4	64.4	100	97.7952
-64.5	64.5	100	97.8015
-64.6	64.6	100	97.804
-64.7	64.7	100	97.8064
-64.8	64.8	100	97.8088
-64.9	64.9	100	97.8112
-65.0	65.0	100	97.8137
-65.1	65.1	100	97.8161
-65.2	65.2	100	97.8185
-65.3	65.3	100	97.821
-65.4	65.4	100	97.8234
-65.5	65.5	100	97.8258
-65.6	65.6	100	97.8282
-65.7	65.7	100	97.8307
-65.8	65.8	100	97.8331
-65.9	65.9	100	97.8355
-66.0	66.0	100	97.838
-66.1	66.1	100	97.8404
-66.2	66.2	100	97.8428
-66.3	66.3	100	97.8452
-66.4	66.4	100	97.8477
-66.5	66.5	100	97.8501
-66.6	66.6	100	97.8525
-66.7	66.7	100	97.855
-66.8	66.8	100	97.8574
-66.9	66.9	100	97.8598
-67.0	67.0	100	97.8622
-67.1	67.1	100	97.8647
-67.2	67.2	100	97.8671
-67.3	67.3	100	97.8695
-67.4	67.4	100	97.872
-67.5	67.5	100	97.8744
-67.6	67.6	100	97.8768
-67.7	67.7	100	97.8793
-67.8	67.8	100	97.8817
-67.9	67.9	100	97.8841
-68.0	68.0	100	97.8865
-68.1	68.1	100	97.889
-68.2	68.2	100	97.8914
-68.3	68.3	100	97.8938
-68.4	68.4	100	97.8963
-68.5	68.5	100	97.8987
-68.6	68.6	100	97.9011
-68.7	68.7	100	97.9035
-68.8	68.8	100	97.906
-68.9	68.9	100	97.9084
-69.0	69.0	100	97.9108
-69.1	69.1	100	97.9133
-69.2	69.2	100	97.9157
-69.3	69.3	100	97.9181
-69.4	69.4	100	97.9205
-69.5	69.5	100	97.923
-69.6	69.6	100	97.9254
-69.7	69.7	100	97.9278
-69.8	69.8	100	97.9303
-69.9	69.9	100	97.9327
-70.0	70.0	100	97.9351
-70.1	70.1	100	97.9375
-70.2	70.2	100	97.94
-70.3	70.3	100	97.9424
-70.4	70.4	100	97.9448
-70.5	70.5	100	97.9473
-70.6	70.6	100	97.9497
-70.7	70.7	100	97.9521
-70.8	70.8	100	97.9545
-70.9	70.9	100	97.957
-71.0	71.0	100	97.9594
-71.1	71.1	100	97.9618
-71.2	71.2	100	97.9643
-71.3	71.3	100	97.9667
-71.4	71.4	100	97.9691
-71.5	71.5	100	97.9715
-71.6	71.6	100	97.974
-71.7	71.7	100	97.9764
-71.8	71.8	100	97.9788
-71.9	71.9	100	97.9813
-72.0	72.0	100	97.9837
-72.1	72.1	100	97.9861
-72.2	72.2	100	97.9885
-72.3	72.3	100	97.991
-72.4	72.4	100	97.9934
-72.5	72.5	100	97.9967
-72.6	72.6	100	98.0012
-72.7	72.7	100	98.0056
-72.8	72.8	100	98.0101
-72.9	72.9	100	98.0146
-73.0	73.0	100	98.0191
-73.1	73.1	100	98.0235
-73.2	73.2	100	98.028
-73.3	73.3	100	98.0325
-73.4	73.4	100	98.037
-73.5	73.5	100	98.0414
-73.6	73.6	100	98.0459
-73.7	73.7	100	98.0504
-73.8	73.8	100	98.0549
-73.9	73.9	100	98.0593
-74.0	74.0	100	98.0638
-74.1	74.1	100	98.0683
-74.2	74.2	100	98.0728
-74.3	74.3	100	98.0772
-74.4	74.4	100	98.0817
-74.5	74.5	100	98.0862
-74.6	74.6	100	98.0907
-74.7	74.7	100	98.0951
-74.8	74.8	100	98.0996
-74.9	74.9	100	98.1041
-75.0	75.0	100	98.1086
-75.1	75.1	100	98.113
-75.2	75.2	100	98.1175
-75.3	75.3	100	98.122
-75.4	75.4	100	98.1265
-75.5	75.5	100	98.1309
-75.6	75.6	100	98.1354
-75.7	75.7	100	98.1399
-75.8	75.8	100	98.1444
-75.9	75.9	100	98.1488
-76.0	76.0	100	98.1533
-76.1	76.1	100	98.1578
-76.2	76.2	100	98.1623
-76.3	76.3	100	98.1667
-76.4	76.4	100	98.1712
-76.5	76.5	100	98.1757
-76.6	76.6	100	98.1802
-76.7	76.7	100	98.1846
-76.8	76.8	100	98.1891
-76.9	76.9	100	98.1936
-77.0	77.0	100	98.1981
-77.1	77.1	100	98.2026
-77.2	77.2	100	98.207
-77.3	77.3	100	98.2115
-77.4	77.4	100	98.216
-77.5	77.5	100	98.2205
-77.6	77.6	100	98.2249
-77.7	77.7	100	98.2294
-77.8	77.8	100	98.2339
-77.9	77.9	100	98.2384
-78.0	78.0	100	98.2428
-78.1	78.1	100	98.2473
-78.2	78.2	100	98.2518
-78.3	78.3	100	98.3061
-78.4	78.4	100	98.3932
-78.5	78.5	100	98.4804
-78.6	78.6	100	98.5675
-78.7	78.7	100	98.6546
-78.8	78.8	100	98.7063
-78.9	78.9	100	98.7063
-79.0	79.0	100	98.7063
-79.1	79.1	100	98.7063
-79.2	79.2	100	98.7063
-79.3	79.3	100	98.7117
-79.4	79.4	100	98.7216
-79.5	79.5	100	98.7316
-79.6	79.6	100	98.7415
-79.7	79.7	100	98.7515
-79.8	79.8	100	98.7615
-79.9	79.9	100	98.7715
-80.0	80.0	100	98.7825
-80.1	80.1	100	98.7936
-80.2	80.2	100	98.8046
-80.3	80.3	100	98.8157
-80.4	80.4	100	98.8268
-80.5	80.5	100	98.8357
-80.6	80.6	100	98.8357
-80.7	80.7	100	98.8357
-80.8	80.8	100	98.8357
-80.9	80.9	100	98.8357
-81.0	81.0	100	98.8357
-81.1	81.1	100	98.8357
-81.2	81.2	100	98.8357
-81.3	81.3	100	98.8357
-81.4	81.4	100	98.8357
-81.5	81.5	100	98.8357
-81.6	81.6	100	98.8357
-81.7	81.7	100	98.8474
-81.8	81.8	100	98.9138
-81.9	81.9	100	98.9681
-82.0	82.0	100	98.9814
-82.1	82.1	100	98.9946
-82.2	82.2	100	99.0079
-82.3	82.3	100	99.0212
-82.4	82.4	100	99.0345
-82.5	82.5	100	99.0478
-82.6	82.6	100	99.061
-82.7	82.7	100	99.0743
-82.8	82.8	100	99.0876
-82.9	82.9	100	99.0944
-83.0	83.0	100	99.0944
-83.1	83.1	100	99.0944
-83.2	83.2	100	99.0944
-83.3	83.3	100	99.1036
-83.4	83.4	100	99.1388
-83.5	83.5	100	99.1739
-83.6	83.6	100	99.2091
-83.7	83.7	100	99.2442
-83.8	83.8	100	99.2794
-83.9	83.9	100	99.2885
-84.0	84.0	100	99.2885
-84.1	84.1	100	99.2885
-84.2	84.2	100	99.2885
-84.3	84.3	100	99.2885
-84.4	84.4	100	99.2885
-84.5	84.5	100	99.2885
-84.6	84.6	100	99.2885
-84.7	84.7	100	99.2885
-84.8	84.8	100	99.2885
-84.9	84.9	100	99.2885
-85.0	85.0	100	99.2885
-85.1	85.1	100	99.2885
-85.2	85.2	100	99.2905
-85.3	85.3	100	99.3104
-85.4	85.4	100	99.3303
-85.5	85.5	100	99.3502
-85.6	85.6	100	99.3626
-85.7	85.7	100	99.3737
-85.8	85.8	100	99.3847
-85.9	85.9	100	99.3958
-86.0	86.0	100	99.4069
-86.1	86.1	100	99.4179
-86.2	86.2	100	99.4304
-86.3	86.3	100	99.4428
-86.4	86.4	100	99.4553
-86.5	86.5	100	99.4677
-86.6	86.6	100	99.4802
-86.7	86.7	100	99.4825
-86.8	86.8	100	99.4825
-86.9	86.9	100	99.4825
-87.0	87.0	100	99.4825
-87.1	87.1	100	99.4825
-87.2	87.2	100	99.4825
-87.3	87.3	100	99.4825
-87.4	87.4	100	99.4825
-87.5	87.5	100	99.4825
-87.6	87.6	100	99.4825
-87.7	87.7	100	99.4825
-87.8	87.8	100	99.4825
-87.9	87.9	100	99.4825
-88.0	88.0	100	99.4825
-88.1	88.1	100	99.4825
-88.2	88.2	100	99.4825
-88.3	88.3	100	99.4825
-88.4	88.4	100	99.4825
-88.5	88.5	100	99.497
-88.6	88.6	100	99.5124
-88.7	88.7	100	99.5277
-88.8	88.8	100	99.543
-88.9	88.9	100	99.5583
-89.0	89.0	100	99.5736
-89.1	89.1	100	99.589
-89.2	89.2	100	99.6043
-89.3	89.3	100	99.6196
-89.4	89.4	100	99.6349
-89.5	89.5	100	99.6502
-89.6	89.6	100	99.6656
-89.7	89.7	100	99.6766
-89.8	89.8	100	99.6766
-89.9	89.9	100	99.6766
-90.0	90.0	100	99.6766
-90.1	90.1	100	99.6766
-90.2	90.2	100	99.6766
-90.3	90.3	100	99.6766
-90.4	90.4	100	99.6766
-90.5	90.5	100	99.6795
-90.6	90.6	100	99.6856
-90.7	90.7	100	99.6916
-90.8	90.8	100	99.6976
-90.9	90.9	100	99.7037
-91.0	91.0	100	99.7097
-91.1	91.1	100	99.7157
-91.2	91.2	100	99.7218
-91.3	91.3	100	99.7278
-91.4	91.4	100	99.7338
-91.5	91.5	100	99.7399
-91.6	91.6	100	99.7413
-91.7	91.7	100	99.7413
-91.8	91.8	100	99.7413
-91.9	91.9	100	99.7413
-92.0	92.0	100	99.7413
-92.1	92.1	100	99.7413
-92.2	92.2	100	99.7413
-92.3	92.3	100	99.755
-92.4	92.4	100	99.7772
-92.5	92.5	100	99.7993
-92.6	92.6	100	99.8214
-92.7	92.7	100	99.8436
-92.8	92.8	100	99.8657
-92.9	92.9	100	99.8706
-93.0	93.0	100	99.8706
-93.1	93.1	100	99.8706
-93.2	93.2	100	99.8706
-93.3	93.3	100	99.8706
-93.4	93.4	100	99.8706
-93.5	93.5	100	99.8706
-93.6	93.6	100	99.8706
-93.7	93.7	100	99.8706
-93.8	93.8	100	99.8706
-93.9	93.9	100	99.8706
-94.0	94.0	100	99.8706
-94.1	94.1	100	99.8706
-94.2	94.2	100	99.8706
-94.3	94.3	100	99.8706
-94.4	94.4	100	99.8706
-94.5	94.5	100	99.8706
-94.6	94.6	100	99.8706
-94.7	94.7	100	99.8706
-94.8	94.8	100	99.8783
-94.9	94.9	100	99.8907
-95.0	95.0	100	99.9032
-95.1	95.1	100	99.9156
-95.2	95.2	100	99.9281
-95.3	95.3	100	99.9353
-95.4	95.4	100	99.9353
-95.5	95.5	100	99.9353
-95.6	95.6	100	99.9353
-95.7	95.7	100	99.9353
-95.8	95.8	100	99.9353
-95.9	95.9	100	99.9353
-96.0	96.0	100	99.9353
-96.1	96.1	100	99.9353
-96.2	96.2	100	99.9353
-96.3	96.3	100	99.9353
-96.4	96.4	100	99.9353
-96.5	96.5	100	99.9353
-96.6	96.6	100	99.9353
-96.7	96.7	100	99.9353
-96.8	96.8	100	99.9353
-96.9	96.9	100	99.9353
-97.0	97.0	100	99.9353
-97.1	97.1	100	99.9353
-97.2	97.2	100	99.9353
-97.3	97.3	100	99.9353
-97.4	97.4	100	99.9353
-97.5	97.5	100	99.9353
-97.6	97.6	100	99.9353
-97.7	97.7	100	99.9353
-97.8	97.8	100	99.9353
-97.9	97.9	100	99.9353
-98.0	98.0	100	99.9353
-98.1	98.1	100	99.9353
-98.2	98.2	100	99.9353
-98.3	98.3	100	99.9353
-98.4	98.4	100	99.9353
-98.5	98.5	100	99.9353
-98.6	98.6	100	99.9353
-98.7	98.7	100	99.9353
-98.8	98.8	100	99.9403
-98.9	98.9	100	99.9452
-99.0	99.0	100	99.9502
-99.1	99.1	100	99.9552
-99.2	99.2	100	99.9602
-99.3	99.3	100	99.9651
-99.4	99.4	100	99.9701
-99.5	99.5	100	99.9751
-99.6	99.6	100	99.9801
-99.7	99.7	100	99.9851
-99.8	99.8	100	99.99
-99.9	99.9	100	99.995
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/Latin.txt b/tests/resources/analysis_results/ref_reports/Latin.txt
deleted file mode 100644
index a53ca75c..00000000
--- a/tests/resources/analysis_results/ref_reports/Latin.txt
+++ /dev/null
@@ -1,2120 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Latin
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	2
-	Mode	ASCII
-	Mode frequency	10
-Target variable stats
-	ASCII	10
-	UTF8 Latin	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	3.04452
-	Data cost	12.1268
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.569655		2	2						<a>	10	0.693147	6.13404	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<é>}	<é>	 * 
-Type	Categorical	Values
-	ASCII
-	UTF8 Latin
-Cells
-Value group	ASCII	UTF8 Latin	Interest
-{<a>}	10	0	0.5
-{<é>}	0	10	0.5
-
-Input values
-	<a>	10
-	<é>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Latin
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.569655	1	0.754755
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Latin
-Selection value	1
-Instances	20
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.976385	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ASCII	UTF8 Latin
-$ASCII	10	0
-$UTF8 Latin	0	10
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Latin
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.2	0.2
-0.2	0.2	0.4	0.4
-0.3	0.3	0.6	0.6
-0.4	0.4	0.8	0.8
-0.5	0.5	1	1
-0.6	0.6	1.2	1.2
-0.7	0.7	1.4	1.4
-0.8	0.8	1.6	1.6
-0.9	0.9	1.8	1.8
-1.0	1.0	2	2
-1.1	1.1	2.2	2.2
-1.2	1.2	2.4	2.4
-1.3	1.3	2.6	2.6
-1.4	1.4	2.8	2.8
-1.5	1.5	3	3
-1.6	1.6	3.2	3.2
-1.7	1.7	3.4	3.4
-1.8	1.8	3.6	3.6
-1.9	1.9	3.8	3.8
-2.0	2.0	4	4
-2.1	2.1	4.2	4.2
-2.2	2.2	4.4	4.4
-2.3	2.3	4.6	4.6
-2.4	2.4	4.8	4.8
-2.5	2.5	5	5
-2.6	2.6	5.2	5.2
-2.7	2.7	5.4	5.4
-2.8	2.8	5.6	5.6
-2.9	2.9	5.8	5.8
-3.0	3.0	6	6
-3.1	3.1	6.2	6.2
-3.2	3.2	6.4	6.4
-3.3	3.3	6.6	6.6
-3.4	3.4	6.8	6.8
-3.5	3.5	7	7
-3.6	3.6	7.2	7.2
-3.7	3.7	7.4	7.4
-3.8	3.8	7.6	7.6
-3.9	3.9	7.8	7.8
-4.0	4.0	8	8
-4.1	4.1	8.2	8.2
-4.2	4.2	8.4	8.4
-4.3	4.3	8.6	8.6
-4.4	4.4	8.8	8.8
-4.5	4.5	9	9
-4.6	4.6	9.2	9.2
-4.7	4.7	9.4	9.4
-4.8	4.8	9.6	9.6
-4.9	4.9	9.8	9.8
-5.0	5.0	10	10
-5.1	5.1	10.2	10.2
-5.2	5.2	10.4	10.4
-5.3	5.3	10.6	10.6
-5.4	5.4	10.8	10.8
-5.5	5.5	11	11
-5.6	5.6	11.2	11.2
-5.7	5.7	11.4	11.4
-5.8	5.8	11.6	11.6
-5.9	5.9	11.8	11.8
-6.0	6.0	12	12
-6.1	6.1	12.2	12.2
-6.2	6.2	12.4	12.4
-6.3	6.3	12.6	12.6
-6.4	6.4	12.8	12.8
-6.5	6.5	13	13
-6.6	6.6	13.2	13.2
-6.7	6.7	13.4	13.4
-6.8	6.8	13.6	13.6
-6.9	6.9	13.8	13.8
-7.0	7.0	14	14
-7.1	7.1	14.2	14.2
-7.2	7.2	14.4	14.4
-7.3	7.3	14.6	14.6
-7.4	7.4	14.8	14.8
-7.5	7.5	15	15
-7.6	7.6	15.2	15.2
-7.7	7.7	15.4	15.4
-7.8	7.8	15.6	15.6
-7.9	7.9	15.8	15.8
-8.0	8.0	16	16
-8.1	8.1	16.2	16.2
-8.2	8.2	16.4	16.4
-8.3	8.3	16.6	16.6
-8.4	8.4	16.8	16.8
-8.5	8.5	17	17
-8.6	8.6	17.2	17.2
-8.7	8.7	17.4	17.4
-8.8	8.8	17.6	17.6
-8.9	8.9	17.8	17.8
-9.0	9.0	18	18
-9.1	9.1	18.2	18.2
-9.2	9.2	18.4	18.4
-9.3	9.3	18.6	18.6
-9.4	9.4	18.8	18.8
-9.5	9.5	19	19
-9.6	9.6	19.2	19.2
-9.7	9.7	19.4	19.4
-9.8	9.8	19.6	19.6
-9.9	9.9	19.8	19.8
-10.0	10.0	20	20
-10.1	10.1	20.2	20.2
-10.2	10.2	20.4	20.4
-10.3	10.3	20.6	20.6
-10.4	10.4	20.8	20.8
-10.5	10.5	21	21
-10.6	10.6	21.2	21.2
-10.7	10.7	21.4	21.4
-10.8	10.8	21.6	21.6
-10.9	10.9	21.8	21.8
-11.0	11.0	22	22
-11.1	11.1	22.2	22.2
-11.2	11.2	22.4	22.4
-11.3	11.3	22.6	22.6
-11.4	11.4	22.8	22.8
-11.5	11.5	23	23
-11.6	11.6	23.2	23.2
-11.7	11.7	23.4	23.4
-11.8	11.8	23.6	23.6
-11.9	11.9	23.8	23.8
-12.0	12.0	24	24
-12.1	12.1	24.2	24.2
-12.2	12.2	24.4	24.4
-12.3	12.3	24.6	24.6
-12.4	12.4	24.8	24.8
-12.5	12.5	25	25
-12.6	12.6	25.2	25.2
-12.7	12.7	25.4	25.4
-12.8	12.8	25.6	25.6
-12.9	12.9	25.8	25.8
-13.0	13.0	26	26
-13.1	13.1	26.2	26.2
-13.2	13.2	26.4	26.4
-13.3	13.3	26.6	26.6
-13.4	13.4	26.8	26.8
-13.5	13.5	27	27
-13.6	13.6	27.2	27.2
-13.7	13.7	27.4	27.4
-13.8	13.8	27.6	27.6
-13.9	13.9	27.8	27.8
-14.0	14.0	28	28
-14.1	14.1	28.2	28.2
-14.2	14.2	28.4	28.4
-14.3	14.3	28.6	28.6
-14.4	14.4	28.8	28.8
-14.5	14.5	29	29
-14.6	14.6	29.2	29.2
-14.7	14.7	29.4	29.4
-14.8	14.8	29.6	29.6
-14.9	14.9	29.8	29.8
-15.0	15.0	30	30
-15.1	15.1	30.2	30.2
-15.2	15.2	30.4	30.4
-15.3	15.3	30.6	30.6
-15.4	15.4	30.8	30.8
-15.5	15.5	31	31
-15.6	15.6	31.2	31.2
-15.7	15.7	31.4	31.4
-15.8	15.8	31.6	31.6
-15.9	15.9	31.8	31.8
-16.0	16.0	32	32
-16.1	16.1	32.2	32.2
-16.2	16.2	32.4	32.4
-16.3	16.3	32.6	32.6
-16.4	16.4	32.8	32.8
-16.5	16.5	33	33
-16.6	16.6	33.2	33.2
-16.7	16.7	33.4	33.4
-16.8	16.8	33.6	33.6
-16.9	16.9	33.8	33.8
-17.0	17.0	34	34
-17.1	17.1	34.2	34.2
-17.2	17.2	34.4	34.4
-17.3	17.3	34.6	34.6
-17.4	17.4	34.8	34.8
-17.5	17.5	35	35
-17.6	17.6	35.2	35.2
-17.7	17.7	35.4	35.4
-17.8	17.8	35.6	35.6
-17.9	17.9	35.8	35.8
-18.0	18.0	36	36
-18.1	18.1	36.2	36.2
-18.2	18.2	36.4	36.4
-18.3	18.3	36.6	36.6
-18.4	18.4	36.8	36.8
-18.5	18.5	37	37
-18.6	18.6	37.2	37.2
-18.7	18.7	37.4	37.4
-18.8	18.8	37.6	37.6
-18.9	18.9	37.8	37.8
-19.0	19.0	38	38
-19.1	19.1	38.2	38.2
-19.2	19.2	38.4	38.4
-19.3	19.3	38.6	38.6
-19.4	19.4	38.8	38.8
-19.5	19.5	39	39
-19.6	19.6	39.2	39.2
-19.7	19.7	39.4	39.4
-19.8	19.8	39.6	39.6
-19.9	19.9	39.8	39.8
-20.0	20.0	40	40
-20.1	20.1	40.2	40.2
-20.2	20.2	40.4	40.4
-20.3	20.3	40.6	40.6
-20.4	20.4	40.8	40.8
-20.5	20.5	41	41
-20.6	20.6	41.2	41.2
-20.7	20.7	41.4	41.4
-20.8	20.8	41.6	41.6
-20.9	20.9	41.8	41.8
-21.0	21.0	42	42
-21.1	21.1	42.2	42.2
-21.2	21.2	42.4	42.4
-21.3	21.3	42.6	42.6
-21.4	21.4	42.8	42.8
-21.5	21.5	43	43
-21.6	21.6	43.2	43.2
-21.7	21.7	43.4	43.4
-21.8	21.8	43.6	43.6
-21.9	21.9	43.8	43.8
-22.0	22.0	44	44
-22.1	22.1	44.2	44.2
-22.2	22.2	44.4	44.4
-22.3	22.3	44.6	44.6
-22.4	22.4	44.8	44.8
-22.5	22.5	45	45
-22.6	22.6	45.2	45.2
-22.7	22.7	45.4	45.4
-22.8	22.8	45.6	45.6
-22.9	22.9	45.8	45.8
-23.0	23.0	46	46
-23.1	23.1	46.2	46.2
-23.2	23.2	46.4	46.4
-23.3	23.3	46.6	46.6
-23.4	23.4	46.8	46.8
-23.5	23.5	47	47
-23.6	23.6	47.2	47.2
-23.7	23.7	47.4	47.4
-23.8	23.8	47.6	47.6
-23.9	23.9	47.8	47.8
-24.0	24.0	48	48
-24.1	24.1	48.2	48.2
-24.2	24.2	48.4	48.4
-24.3	24.3	48.6	48.6
-24.4	24.4	48.8	48.8
-24.5	24.5	49	49
-24.6	24.6	49.2	49.2
-24.7	24.7	49.4	49.4
-24.8	24.8	49.6	49.6
-24.9	24.9	49.8	49.8
-25.0	25.0	50	50
-25.1	25.1	50.2	50.2
-25.2	25.2	50.4	50.4
-25.3	25.3	50.6	50.6
-25.4	25.4	50.8	50.8
-25.5	25.5	51	51
-25.6	25.6	51.2	51.2
-25.7	25.7	51.4	51.4
-25.8	25.8	51.6	51.6
-25.9	25.9	51.8	51.8
-26.0	26.0	52	52
-26.1	26.1	52.2	52.2
-26.2	26.2	52.4	52.4
-26.3	26.3	52.6	52.6
-26.4	26.4	52.8	52.8
-26.5	26.5	53	53
-26.6	26.6	53.2	53.2
-26.7	26.7	53.4	53.4
-26.8	26.8	53.6	53.6
-26.9	26.9	53.8	53.8
-27.0	27.0	54	54
-27.1	27.1	54.2	54.2
-27.2	27.2	54.4	54.4
-27.3	27.3	54.6	54.6
-27.4	27.4	54.8	54.8
-27.5	27.5	55	55
-27.6	27.6	55.2	55.2
-27.7	27.7	55.4	55.4
-27.8	27.8	55.6	55.6
-27.9	27.9	55.8	55.8
-28.0	28.0	56	56
-28.1	28.1	56.2	56.2
-28.2	28.2	56.4	56.4
-28.3	28.3	56.6	56.6
-28.4	28.4	56.8	56.8
-28.5	28.5	57	57
-28.6	28.6	57.2	57.2
-28.7	28.7	57.4	57.4
-28.8	28.8	57.6	57.6
-28.9	28.9	57.8	57.8
-29.0	29.0	58	58
-29.1	29.1	58.2	58.2
-29.2	29.2	58.4	58.4
-29.3	29.3	58.6	58.6
-29.4	29.4	58.8	58.8
-29.5	29.5	59	59
-29.6	29.6	59.2	59.2
-29.7	29.7	59.4	59.4
-29.8	29.8	59.6	59.6
-29.9	29.9	59.8	59.8
-30.0	30.0	60	60
-30.1	30.1	60.2	60.2
-30.2	30.2	60.4	60.4
-30.3	30.3	60.6	60.6
-30.4	30.4	60.8	60.8
-30.5	30.5	61	61
-30.6	30.6	61.2	61.2
-30.7	30.7	61.4	61.4
-30.8	30.8	61.6	61.6
-30.9	30.9	61.8	61.8
-31.0	31.0	62	62
-31.1	31.1	62.2	62.2
-31.2	31.2	62.4	62.4
-31.3	31.3	62.6	62.6
-31.4	31.4	62.8	62.8
-31.5	31.5	63	63
-31.6	31.6	63.2	63.2
-31.7	31.7	63.4	63.4
-31.8	31.8	63.6	63.6
-31.9	31.9	63.8	63.8
-32.0	32.0	64	64
-32.1	32.1	64.2	64.2
-32.2	32.2	64.4	64.4
-32.3	32.3	64.6	64.6
-32.4	32.4	64.8	64.8
-32.5	32.5	65	65
-32.6	32.6	65.2	65.2
-32.7	32.7	65.4	65.4
-32.8	32.8	65.6	65.6
-32.9	32.9	65.8	65.8
-33.0	33.0	66	66
-33.1	33.1	66.2	66.2
-33.2	33.2	66.4	66.4
-33.3	33.3	66.6	66.6
-33.4	33.4	66.8	66.8
-33.5	33.5	67	67
-33.6	33.6	67.2	67.2
-33.7	33.7	67.4	67.4
-33.8	33.8	67.6	67.6
-33.9	33.9	67.8	67.8
-34.0	34.0	68	68
-34.1	34.1	68.2	68.2
-34.2	34.2	68.4	68.4
-34.3	34.3	68.6	68.6
-34.4	34.4	68.8	68.8
-34.5	34.5	69	69
-34.6	34.6	69.2	69.2
-34.7	34.7	69.4	69.4
-34.8	34.8	69.6	69.6
-34.9	34.9	69.8	69.8
-35.0	35.0	70	70
-35.1	35.1	70.2	70.2
-35.2	35.2	70.4	70.4
-35.3	35.3	70.6	70.6
-35.4	35.4	70.8	70.8
-35.5	35.5	71	71
-35.6	35.6	71.2	71.2
-35.7	35.7	71.4	71.4
-35.8	35.8	71.6	71.6
-35.9	35.9	71.8	71.8
-36.0	36.0	72	72
-36.1	36.1	72.2	72.2
-36.2	36.2	72.4	72.4
-36.3	36.3	72.6	72.6
-36.4	36.4	72.8	72.8
-36.5	36.5	73	73
-36.6	36.6	73.2	73.2
-36.7	36.7	73.4	73.4
-36.8	36.8	73.6	73.6
-36.9	36.9	73.8	73.8
-37.0	37.0	74	74
-37.1	37.1	74.2	74.2
-37.2	37.2	74.4	74.4
-37.3	37.3	74.6	74.6
-37.4	37.4	74.8	74.8
-37.5	37.5	75	75
-37.6	37.6	75.2	75.2
-37.7	37.7	75.4	75.4
-37.8	37.8	75.6	75.6
-37.9	37.9	75.8	75.8
-38.0	38.0	76	76
-38.1	38.1	76.2	76.2
-38.2	38.2	76.4	76.4
-38.3	38.3	76.6	76.6
-38.4	38.4	76.8	76.8
-38.5	38.5	77	77
-38.6	38.6	77.2	77.2
-38.7	38.7	77.4	77.4
-38.8	38.8	77.6	77.6
-38.9	38.9	77.8	77.8
-39.0	39.0	78	78
-39.1	39.1	78.2	78.2
-39.2	39.2	78.4	78.4
-39.3	39.3	78.6	78.6
-39.4	39.4	78.8	78.8
-39.5	39.5	79	79
-39.6	39.6	79.2	79.2
-39.7	39.7	79.4	79.4
-39.8	39.8	79.6	79.6
-39.9	39.9	79.8	79.8
-40.0	40.0	80	80
-40.1	40.1	80.2	80.2
-40.2	40.2	80.4	80.4
-40.3	40.3	80.6	80.6
-40.4	40.4	80.8	80.8
-40.5	40.5	81	81
-40.6	40.6	81.2	81.2
-40.7	40.7	81.4	81.4
-40.8	40.8	81.6	81.6
-40.9	40.9	81.8	81.8
-41.0	41.0	82	82
-41.1	41.1	82.2	82.2
-41.2	41.2	82.4	82.4
-41.3	41.3	82.6	82.6
-41.4	41.4	82.8	82.8
-41.5	41.5	83	83
-41.6	41.6	83.2	83.2
-41.7	41.7	83.4	83.4
-41.8	41.8	83.6	83.6
-41.9	41.9	83.8	83.8
-42.0	42.0	84	84
-42.1	42.1	84.2	84.2
-42.2	42.2	84.4	84.4
-42.3	42.3	84.6	84.6
-42.4	42.4	84.8	84.8
-42.5	42.5	85	85
-42.6	42.6	85.2	85.2
-42.7	42.7	85.4	85.4
-42.8	42.8	85.6	85.6
-42.9	42.9	85.8	85.8
-43.0	43.0	86	86
-43.1	43.1	86.2	86.2
-43.2	43.2	86.4	86.4
-43.3	43.3	86.6	86.6
-43.4	43.4	86.8	86.8
-43.5	43.5	87	87
-43.6	43.6	87.2	87.2
-43.7	43.7	87.4	87.4
-43.8	43.8	87.6	87.6
-43.9	43.9	87.8	87.8
-44.0	44.0	88	88
-44.1	44.1	88.2	88.2
-44.2	44.2	88.4	88.4
-44.3	44.3	88.6	88.6
-44.4	44.4	88.8	88.8
-44.5	44.5	89	89
-44.6	44.6	89.2	89.2
-44.7	44.7	89.4	89.4
-44.8	44.8	89.6	89.6
-44.9	44.9	89.8	89.8
-45.0	45.0	90	90
-45.1	45.1	90.2	90.2
-45.2	45.2	90.4	90.4
-45.3	45.3	90.6	90.6
-45.4	45.4	90.8	90.8
-45.5	45.5	91	91
-45.6	45.6	91.2	91.2
-45.7	45.7	91.4	91.4
-45.8	45.8	91.6	91.6
-45.9	45.9	91.8	91.8
-46.0	46.0	92	92
-46.1	46.1	92.2	92.2
-46.2	46.2	92.4	92.4
-46.3	46.3	92.6	92.6
-46.4	46.4	92.8	92.8
-46.5	46.5	93	93
-46.6	46.6	93.2	93.2
-46.7	46.7	93.4	93.4
-46.8	46.8	93.6	93.6
-46.9	46.9	93.8	93.8
-47.0	47.0	94	94
-47.1	47.1	94.2	94.2
-47.2	47.2	94.4	94.4
-47.3	47.3	94.6	94.6
-47.4	47.4	94.8	94.8
-47.5	47.5	95	95
-47.6	47.6	95.2	95.2
-47.7	47.7	95.4	95.4
-47.8	47.8	95.6	95.6
-47.9	47.9	95.8	95.8
-48.0	48.0	96	96
-48.1	48.1	96.2	96.2
-48.2	48.2	96.4	96.4
-48.3	48.3	96.6	96.6
-48.4	48.4	96.8	96.8
-48.5	48.5	97	97
-48.6	48.6	97.2	97.2
-48.7	48.7	97.4	97.4
-48.8	48.8	97.6	97.6
-48.9	48.9	97.8	97.8
-49.0	49.0	98	98
-49.1	49.1	98.2	98.2
-49.2	49.2	98.4	98.4
-49.3	49.3	98.6	98.6
-49.4	49.4	98.8	98.8
-49.5	49.5	99	99
-49.6	49.6	99.2	99.2
-49.7	49.7	99.4	99.4
-49.8	49.8	99.6	99.6
-49.9	49.9	99.8	99.8
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/LatinGreek.txt b/tests/resources/analysis_results/ref_reports/LatinGreek.txt
deleted file mode 100644
index 447ff453..00000000
--- a/tests/resources/analysis_results/ref_reports/LatinGreek.txt
+++ /dev/null
@@ -1,3130 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	MultipleEncodings
-Variables
-	Categorical	2
-	Total	2
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	LatinGreek
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-Target descriptive stats
-	Values	3
-	Mode	ASCII
-	Mode frequency	10
-Target variable stats
-	ASCII	10
-	UTF8 Greek	10
-	UTF8 Latin	10
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	6.20658
-	Data cost	29.345
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Char	Categorical	0.522457		3	3						<a>	10	0.693147	16.6153	0	
-
-Detailed variable statistics
-
-Rank	R1	Char	Categorical
-
-Data grid	Supervised
-Dimensions
-Char	Categorical	Value groups
-	{<a>}	<a>
-	{<é>}	<é>
-	{<θ>}	<θ>	 * 
-Type	Categorical	Values
-	ASCII
-	UTF8 Greek
-	UTF8 Latin
-Cells
-Value group	ASCII	UTF8 Greek	UTF8 Latin	Interest
-{<a>}	10	0	0	0.333333
-{<é>}	0	0	10	0.333333
-{<θ>}	0	10	0	0.333333
-
-Input values
-	<a>	10
-	<é>	10
-	<θ>	10
-
-
-Report	Modeling
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	LatinGreek
-Selection value	1
-Learning task	Classification analysis
-Target variable	Type
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PChar	Char	0.522457	1	0.722812
-
-
-Report	Evaluation	Train
-
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	LatinGreek
-Selection value	1
-Instances	30
-Learning task	Classification analysis
-Target variable	Type
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	1	0.984513	1
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	ASCII	UTF8 Greek	UTF8 Latin
-$ASCII	10	0	0
-$UTF8 Greek	0	10	0
-$UTF8 Latin	0	0	10
-
-Lift curves	ASCII
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Greek
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
-
-Lift curves	UTF8 Latin
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.3	0.3
-0.2	0.2	0.6	0.6
-0.3	0.3	0.9	0.9
-0.4	0.4	1.2	1.2
-0.5	0.5	1.5	1.5
-0.6	0.6	1.8	1.8
-0.7	0.7	2.1	2.1
-0.8	0.8	2.4	2.4
-0.9	0.9	2.7	2.7
-1.0	1.0	3	3
-1.1	1.1	3.3	3.3
-1.2	1.2	3.6	3.6
-1.3	1.3	3.9	3.9
-1.4	1.4	4.2	4.2
-1.5	1.5	4.5	4.5
-1.6	1.6	4.8	4.8
-1.7	1.7	5.1	5.1
-1.8	1.8	5.4	5.4
-1.9	1.9	5.7	5.7
-2.0	2.0	6	6
-2.1	2.1	6.3	6.3
-2.2	2.2	6.6	6.6
-2.3	2.3	6.9	6.9
-2.4	2.4	7.2	7.2
-2.5	2.5	7.5	7.5
-2.6	2.6	7.8	7.8
-2.7	2.7	8.1	8.1
-2.8	2.8	8.4	8.4
-2.9	2.9	8.7	8.7
-3.0	3.0	9	9
-3.1	3.1	9.3	9.3
-3.2	3.2	9.6	9.6
-3.3	3.3	9.9	9.9
-3.4	3.4	10.2	10.2
-3.5	3.5	10.5	10.5
-3.6	3.6	10.8	10.8
-3.7	3.7	11.1	11.1
-3.8	3.8	11.4	11.4
-3.9	3.9	11.7	11.7
-4.0	4.0	12	12
-4.1	4.1	12.3	12.3
-4.2	4.2	12.6	12.6
-4.3	4.3	12.9	12.9
-4.4	4.4	13.2	13.2
-4.5	4.5	13.5	13.5
-4.6	4.6	13.8	13.8
-4.7	4.7	14.1	14.1
-4.8	4.8	14.4	14.4
-4.9	4.9	14.7	14.7
-5.0	5.0	15	15
-5.1	5.1	15.3	15.3
-5.2	5.2	15.6	15.6
-5.3	5.3	15.9	15.9
-5.4	5.4	16.2	16.2
-5.5	5.5	16.5	16.5
-5.6	5.6	16.8	16.8
-5.7	5.7	17.1	17.1
-5.8	5.8	17.4	17.4
-5.9	5.9	17.7	17.7
-6.0	6.0	18	18
-6.1	6.1	18.3	18.3
-6.2	6.2	18.6	18.6
-6.3	6.3	18.9	18.9
-6.4	6.4	19.2	19.2
-6.5	6.5	19.5	19.5
-6.6	6.6	19.8	19.8
-6.7	6.7	20.1	20.1
-6.8	6.8	20.4	20.4
-6.9	6.9	20.7	20.7
-7.0	7.0	21	21
-7.1	7.1	21.3	21.3
-7.2	7.2	21.6	21.6
-7.3	7.3	21.9	21.9
-7.4	7.4	22.2	22.2
-7.5	7.5	22.5	22.5
-7.6	7.6	22.8	22.8
-7.7	7.7	23.1	23.1
-7.8	7.8	23.4	23.4
-7.9	7.9	23.7	23.7
-8.0	8.0	24	24
-8.1	8.1	24.3	24.3
-8.2	8.2	24.6	24.6
-8.3	8.3	24.9	24.9
-8.4	8.4	25.2	25.2
-8.5	8.5	25.5	25.5
-8.6	8.6	25.8	25.8
-8.7	8.7	26.1	26.1
-8.8	8.8	26.4	26.4
-8.9	8.9	26.7	26.7
-9.0	9.0	27	27
-9.1	9.1	27.3	27.3
-9.2	9.2	27.6	27.6
-9.3	9.3	27.9	27.9
-9.4	9.4	28.2	28.2
-9.5	9.5	28.5	28.5
-9.6	9.6	28.8	28.8
-9.7	9.7	29.1	29.1
-9.8	9.8	29.4	29.4
-9.9	9.9	29.7	29.7
-10.0	10.0	30	30
-10.1	10.1	30.3	30.3
-10.2	10.2	30.6	30.6
-10.3	10.3	30.9	30.9
-10.4	10.4	31.2	31.2
-10.5	10.5	31.5	31.5
-10.6	10.6	31.8	31.8
-10.7	10.7	32.1	32.1
-10.8	10.8	32.4	32.4
-10.9	10.9	32.7	32.7
-11.0	11.0	33	33
-11.1	11.1	33.3	33.3
-11.2	11.2	33.6	33.6
-11.3	11.3	33.9	33.9
-11.4	11.4	34.2	34.2
-11.5	11.5	34.5	34.5
-11.6	11.6	34.8	34.8
-11.7	11.7	35.1	35.1
-11.8	11.8	35.4	35.4
-11.9	11.9	35.7	35.7
-12.0	12.0	36	36
-12.1	12.1	36.3	36.3
-12.2	12.2	36.6	36.6
-12.3	12.3	36.9	36.9
-12.4	12.4	37.2	37.2
-12.5	12.5	37.5	37.5
-12.6	12.6	37.8	37.8
-12.7	12.7	38.1	38.1
-12.8	12.8	38.4	38.4
-12.9	12.9	38.7	38.7
-13.0	13.0	39	39
-13.1	13.1	39.3	39.3
-13.2	13.2	39.6	39.6
-13.3	13.3	39.9	39.9
-13.4	13.4	40.2	40.2
-13.5	13.5	40.5	40.5
-13.6	13.6	40.8	40.8
-13.7	13.7	41.1	41.1
-13.8	13.8	41.4	41.4
-13.9	13.9	41.7	41.7
-14.0	14.0	42	42
-14.1	14.1	42.3	42.3
-14.2	14.2	42.6	42.6
-14.3	14.3	42.9	42.9
-14.4	14.4	43.2	43.2
-14.5	14.5	43.5	43.5
-14.6	14.6	43.8	43.8
-14.7	14.7	44.1	44.1
-14.8	14.8	44.4	44.4
-14.9	14.9	44.7	44.7
-15.0	15.0	45	45
-15.1	15.1	45.3	45.3
-15.2	15.2	45.6	45.6
-15.3	15.3	45.9	45.9
-15.4	15.4	46.2	46.2
-15.5	15.5	46.5	46.5
-15.6	15.6	46.8	46.8
-15.7	15.7	47.1	47.1
-15.8	15.8	47.4	47.4
-15.9	15.9	47.7	47.7
-16.0	16.0	48	48
-16.1	16.1	48.3	48.3
-16.2	16.2	48.6	48.6
-16.3	16.3	48.9	48.9
-16.4	16.4	49.2	49.2
-16.5	16.5	49.5	49.5
-16.6	16.6	49.8	49.8
-16.7	16.7	50.1	50.1
-16.8	16.8	50.4	50.4
-16.9	16.9	50.7	50.7
-17.0	17.0	51	51
-17.1	17.1	51.3	51.3
-17.2	17.2	51.6	51.6
-17.3	17.3	51.9	51.9
-17.4	17.4	52.2	52.2
-17.5	17.5	52.5	52.5
-17.6	17.6	52.8	52.8
-17.7	17.7	53.1	53.1
-17.8	17.8	53.4	53.4
-17.9	17.9	53.7	53.7
-18.0	18.0	54	54
-18.1	18.1	54.3	54.3
-18.2	18.2	54.6	54.6
-18.3	18.3	54.9	54.9
-18.4	18.4	55.2	55.2
-18.5	18.5	55.5	55.5
-18.6	18.6	55.8	55.8
-18.7	18.7	56.1	56.1
-18.8	18.8	56.4	56.4
-18.9	18.9	56.7	56.7
-19.0	19.0	57	57
-19.1	19.1	57.3	57.3
-19.2	19.2	57.6	57.6
-19.3	19.3	57.9	57.9
-19.4	19.4	58.2	58.2
-19.5	19.5	58.5	58.5
-19.6	19.6	58.8	58.8
-19.7	19.7	59.1	59.1
-19.8	19.8	59.4	59.4
-19.9	19.9	59.7	59.7
-20.0	20.0	60	60
-20.1	20.1	60.3	60.3
-20.2	20.2	60.6	60.6
-20.3	20.3	60.9	60.9
-20.4	20.4	61.2	61.2
-20.5	20.5	61.5	61.5
-20.6	20.6	61.8	61.8
-20.7	20.7	62.1	62.1
-20.8	20.8	62.4	62.4
-20.9	20.9	62.7	62.7
-21.0	21.0	63	63
-21.1	21.1	63.3	63.3
-21.2	21.2	63.6	63.6
-21.3	21.3	63.9	63.9
-21.4	21.4	64.2	64.2
-21.5	21.5	64.5	64.5
-21.6	21.6	64.8	64.8
-21.7	21.7	65.1	65.1
-21.8	21.8	65.4	65.4
-21.9	21.9	65.7	65.7
-22.0	22.0	66	66
-22.1	22.1	66.3	66.3
-22.2	22.2	66.6	66.6
-22.3	22.3	66.9	66.9
-22.4	22.4	67.2	67.2
-22.5	22.5	67.5	67.5
-22.6	22.6	67.8	67.8
-22.7	22.7	68.1	68.1
-22.8	22.8	68.4	68.4
-22.9	22.9	68.7	68.7
-23.0	23.0	69	69
-23.1	23.1	69.3	69.3
-23.2	23.2	69.6	69.6
-23.3	23.3	69.9	69.9
-23.4	23.4	70.2	70.2
-23.5	23.5	70.5	70.5
-23.6	23.6	70.8	70.8
-23.7	23.7	71.1	71.1
-23.8	23.8	71.4	71.4
-23.9	23.9	71.7	71.7
-24.0	24.0	72	72
-24.1	24.1	72.3	72.3
-24.2	24.2	72.6	72.6
-24.3	24.3	72.9	72.9
-24.4	24.4	73.2	73.2
-24.5	24.5	73.5	73.5
-24.6	24.6	73.8	73.8
-24.7	24.7	74.1	74.1
-24.8	24.8	74.4	74.4
-24.9	24.9	74.7	74.7
-25.0	25.0	75	75
-25.1	25.1	75.3	75.3
-25.2	25.2	75.6	75.6
-25.3	25.3	75.9	75.9
-25.4	25.4	76.2	76.2
-25.5	25.5	76.5	76.5
-25.6	25.6	76.8	76.8
-25.7	25.7	77.1	77.1
-25.8	25.8	77.4	77.4
-25.9	25.9	77.7	77.7
-26.0	26.0	78	78
-26.1	26.1	78.3	78.3
-26.2	26.2	78.6	78.6
-26.3	26.3	78.9	78.9
-26.4	26.4	79.2	79.2
-26.5	26.5	79.5	79.5
-26.6	26.6	79.8	79.8
-26.7	26.7	80.1	80.1
-26.8	26.8	80.4	80.4
-26.9	26.9	80.7	80.7
-27.0	27.0	81	81
-27.1	27.1	81.3	81.3
-27.2	27.2	81.6	81.6
-27.3	27.3	81.9	81.9
-27.4	27.4	82.2	82.2
-27.5	27.5	82.5	82.5
-27.6	27.6	82.8	82.8
-27.7	27.7	83.1	83.1
-27.8	27.8	83.4	83.4
-27.9	27.9	83.7	83.7
-28.0	28.0	84	84
-28.1	28.1	84.3	84.3
-28.2	28.2	84.6	84.6
-28.3	28.3	84.9	84.9
-28.4	28.4	85.2	85.2
-28.5	28.5	85.5	85.5
-28.6	28.6	85.8	85.8
-28.7	28.7	86.1	86.1
-28.8	28.8	86.4	86.4
-28.9	28.9	86.7	86.7
-29.0	29.0	87	87
-29.1	29.1	87.3	87.3
-29.2	29.2	87.6	87.6
-29.3	29.3	87.9	87.9
-29.4	29.4	88.2	88.2
-29.5	29.5	88.5	88.5
-29.6	29.6	88.8	88.8
-29.7	29.7	89.1	89.1
-29.8	29.8	89.4	89.4
-29.9	29.9	89.7	89.7
-30.0	30.0	90	90
-30.1	30.1	90.3	90.3
-30.2	30.2	90.6	90.6
-30.3	30.3	90.9	90.9
-30.4	30.4	91.2	91.2
-30.5	30.5	91.5	91.5
-30.6	30.6	91.8	91.8
-30.7	30.7	92.1	92.1
-30.8	30.8	92.4	92.4
-30.9	30.9	92.7	92.7
-31.0	31.0	93	93
-31.1	31.1	93.3	93.3
-31.2	31.2	93.6	93.6
-31.3	31.3	93.9	93.9
-31.4	31.4	94.2	94.2
-31.5	31.5	94.5	94.5
-31.6	31.6	94.8	94.8
-31.7	31.7	95.1	95.1
-31.8	31.8	95.4	95.4
-31.9	31.9	95.7	95.7
-32.0	32.0	96	96
-32.1	32.1	96.3	96.3
-32.2	32.2	96.6	96.6
-32.3	32.3	96.9	96.9
-32.4	32.4	97.2	97.2
-32.5	32.5	97.5	97.5
-32.6	32.6	97.8	97.8
-32.7	32.7	98.1	98.1
-32.8	32.8	98.4	98.4
-32.9	32.9	98.7	98.7
-33.0	33.0	99	99
-33.1	33.1	99.3	99.3
-33.2	33.2	99.6	99.6
-33.3	33.3	99.9	99.9
-33.4	33.4	100	100
-33.5	33.5	100	100
-33.6	33.6	100	100
-33.7	33.7	100	100
-33.8	33.8	100	100
-33.9	33.9	100	100
-34.0	34.0	100	100
-34.1	34.1	100	100
-34.2	34.2	100	100
-34.3	34.3	100	100
-34.4	34.4	100	100
-34.5	34.5	100	100
-34.6	34.6	100	100
-34.7	34.7	100	100
-34.8	34.8	100	100
-34.9	34.9	100	100
-35.0	35.0	100	100
-35.1	35.1	100	100
-35.2	35.2	100	100
-35.3	35.3	100	100
-35.4	35.4	100	100
-35.5	35.5	100	100
-35.6	35.6	100	100
-35.7	35.7	100	100
-35.8	35.8	100	100
-35.9	35.9	100	100
-36.0	36.0	100	100
-36.1	36.1	100	100
-36.2	36.2	100	100
-36.3	36.3	100	100
-36.4	36.4	100	100
-36.5	36.5	100	100
-36.6	36.6	100	100
-36.7	36.7	100	100
-36.8	36.8	100	100
-36.9	36.9	100	100
-37.0	37.0	100	100
-37.1	37.1	100	100
-37.2	37.2	100	100
-37.3	37.3	100	100
-37.4	37.4	100	100
-37.5	37.5	100	100
-37.6	37.6	100	100
-37.7	37.7	100	100
-37.8	37.8	100	100
-37.9	37.9	100	100
-38.0	38.0	100	100
-38.1	38.1	100	100
-38.2	38.2	100	100
-38.3	38.3	100	100
-38.4	38.4	100	100
-38.5	38.5	100	100
-38.6	38.6	100	100
-38.7	38.7	100	100
-38.8	38.8	100	100
-38.9	38.9	100	100
-39.0	39.0	100	100
-39.1	39.1	100	100
-39.2	39.2	100	100
-39.3	39.3	100	100
-39.4	39.4	100	100
-39.5	39.5	100	100
-39.6	39.6	100	100
-39.7	39.7	100	100
-39.8	39.8	100	100
-39.9	39.9	100	100
-40.0	40.0	100	100
-40.1	40.1	100	100
-40.2	40.2	100	100
-40.3	40.3	100	100
-40.4	40.4	100	100
-40.5	40.5	100	100
-40.6	40.6	100	100
-40.7	40.7	100	100
-40.8	40.8	100	100
-40.9	40.9	100	100
-41.0	41.0	100	100
-41.1	41.1	100	100
-41.2	41.2	100	100
-41.3	41.3	100	100
-41.4	41.4	100	100
-41.5	41.5	100	100
-41.6	41.6	100	100
-41.7	41.7	100	100
-41.8	41.8	100	100
-41.9	41.9	100	100
-42.0	42.0	100	100
-42.1	42.1	100	100
-42.2	42.2	100	100
-42.3	42.3	100	100
-42.4	42.4	100	100
-42.5	42.5	100	100
-42.6	42.6	100	100
-42.7	42.7	100	100
-42.8	42.8	100	100
-42.9	42.9	100	100
-43.0	43.0	100	100
-43.1	43.1	100	100
-43.2	43.2	100	100
-43.3	43.3	100	100
-43.4	43.4	100	100
-43.5	43.5	100	100
-43.6	43.6	100	100
-43.7	43.7	100	100
-43.8	43.8	100	100
-43.9	43.9	100	100
-44.0	44.0	100	100
-44.1	44.1	100	100
-44.2	44.2	100	100
-44.3	44.3	100	100
-44.4	44.4	100	100
-44.5	44.5	100	100
-44.6	44.6	100	100
-44.7	44.7	100	100
-44.8	44.8	100	100
-44.9	44.9	100	100
-45.0	45.0	100	100
-45.1	45.1	100	100
-45.2	45.2	100	100
-45.3	45.3	100	100
-45.4	45.4	100	100
-45.5	45.5	100	100
-45.6	45.6	100	100
-45.7	45.7	100	100
-45.8	45.8	100	100
-45.9	45.9	100	100
-46.0	46.0	100	100
-46.1	46.1	100	100
-46.2	46.2	100	100
-46.3	46.3	100	100
-46.4	46.4	100	100
-46.5	46.5	100	100
-46.6	46.6	100	100
-46.7	46.7	100	100
-46.8	46.8	100	100
-46.9	46.9	100	100
-47.0	47.0	100	100
-47.1	47.1	100	100
-47.2	47.2	100	100
-47.3	47.3	100	100
-47.4	47.4	100	100
-47.5	47.5	100	100
-47.6	47.6	100	100
-47.7	47.7	100	100
-47.8	47.8	100	100
-47.9	47.9	100	100
-48.0	48.0	100	100
-48.1	48.1	100	100
-48.2	48.2	100	100
-48.3	48.3	100	100
-48.4	48.4	100	100
-48.5	48.5	100	100
-48.6	48.6	100	100
-48.7	48.7	100	100
-48.8	48.8	100	100
-48.9	48.9	100	100
-49.0	49.0	100	100
-49.1	49.1	100	100
-49.2	49.2	100	100
-49.3	49.3	100	100
-49.4	49.4	100	100
-49.5	49.5	100	100
-49.6	49.6	100	100
-49.7	49.7	100	100
-49.8	49.8	100	100
-49.9	49.9	100	100
-50.0	50.0	100	100
-50.1	50.1	100	100
-50.2	50.2	100	100
-50.3	50.3	100	100
-50.4	50.4	100	100
-50.5	50.5	100	100
-50.6	50.6	100	100
-50.7	50.7	100	100
-50.8	50.8	100	100
-50.9	50.9	100	100
-51.0	51.0	100	100
-51.1	51.1	100	100
-51.2	51.2	100	100
-51.3	51.3	100	100
-51.4	51.4	100	100
-51.5	51.5	100	100
-51.6	51.6	100	100
-51.7	51.7	100	100
-51.8	51.8	100	100
-51.9	51.9	100	100
-52.0	52.0	100	100
-52.1	52.1	100	100
-52.2	52.2	100	100
-52.3	52.3	100	100
-52.4	52.4	100	100
-52.5	52.5	100	100
-52.6	52.6	100	100
-52.7	52.7	100	100
-52.8	52.8	100	100
-52.9	52.9	100	100
-53.0	53.0	100	100
-53.1	53.1	100	100
-53.2	53.2	100	100
-53.3	53.3	100	100
-53.4	53.4	100	100
-53.5	53.5	100	100
-53.6	53.6	100	100
-53.7	53.7	100	100
-53.8	53.8	100	100
-53.9	53.9	100	100
-54.0	54.0	100	100
-54.1	54.1	100	100
-54.2	54.2	100	100
-54.3	54.3	100	100
-54.4	54.4	100	100
-54.5	54.5	100	100
-54.6	54.6	100	100
-54.7	54.7	100	100
-54.8	54.8	100	100
-54.9	54.9	100	100
-55.0	55.0	100	100
-55.1	55.1	100	100
-55.2	55.2	100	100
-55.3	55.3	100	100
-55.4	55.4	100	100
-55.5	55.5	100	100
-55.6	55.6	100	100
-55.7	55.7	100	100
-55.8	55.8	100	100
-55.9	55.9	100	100
-56.0	56.0	100	100
-56.1	56.1	100	100
-56.2	56.2	100	100
-56.3	56.3	100	100
-56.4	56.4	100	100
-56.5	56.5	100	100
-56.6	56.6	100	100
-56.7	56.7	100	100
-56.8	56.8	100	100
-56.9	56.9	100	100
-57.0	57.0	100	100
-57.1	57.1	100	100
-57.2	57.2	100	100
-57.3	57.3	100	100
-57.4	57.4	100	100
-57.5	57.5	100	100
-57.6	57.6	100	100
-57.7	57.7	100	100
-57.8	57.8	100	100
-57.9	57.9	100	100
-58.0	58.0	100	100
-58.1	58.1	100	100
-58.2	58.2	100	100
-58.3	58.3	100	100
-58.4	58.4	100	100
-58.5	58.5	100	100
-58.6	58.6	100	100
-58.7	58.7	100	100
-58.8	58.8	100	100
-58.9	58.9	100	100
-59.0	59.0	100	100
-59.1	59.1	100	100
-59.2	59.2	100	100
-59.3	59.3	100	100
-59.4	59.4	100	100
-59.5	59.5	100	100
-59.6	59.6	100	100
-59.7	59.7	100	100
-59.8	59.8	100	100
-59.9	59.9	100	100
-60.0	60.0	100	100
-60.1	60.1	100	100
-60.2	60.2	100	100
-60.3	60.3	100	100
-60.4	60.4	100	100
-60.5	60.5	100	100
-60.6	60.6	100	100
-60.7	60.7	100	100
-60.8	60.8	100	100
-60.9	60.9	100	100
-61.0	61.0	100	100
-61.1	61.1	100	100
-61.2	61.2	100	100
-61.3	61.3	100	100
-61.4	61.4	100	100
-61.5	61.5	100	100
-61.6	61.6	100	100
-61.7	61.7	100	100
-61.8	61.8	100	100
-61.9	61.9	100	100
-62.0	62.0	100	100
-62.1	62.1	100	100
-62.2	62.2	100	100
-62.3	62.3	100	100
-62.4	62.4	100	100
-62.5	62.5	100	100
-62.6	62.6	100	100
-62.7	62.7	100	100
-62.8	62.8	100	100
-62.9	62.9	100	100
-63.0	63.0	100	100
-63.1	63.1	100	100
-63.2	63.2	100	100
-63.3	63.3	100	100
-63.4	63.4	100	100
-63.5	63.5	100	100
-63.6	63.6	100	100
-63.7	63.7	100	100
-63.8	63.8	100	100
-63.9	63.9	100	100
-64.0	64.0	100	100
-64.1	64.1	100	100
-64.2	64.2	100	100
-64.3	64.3	100	100
-64.4	64.4	100	100
-64.5	64.5	100	100
-64.6	64.6	100	100
-64.7	64.7	100	100
-64.8	64.8	100	100
-64.9	64.9	100	100
-65.0	65.0	100	100
-65.1	65.1	100	100
-65.2	65.2	100	100
-65.3	65.3	100	100
-65.4	65.4	100	100
-65.5	65.5	100	100
-65.6	65.6	100	100
-65.7	65.7	100	100
-65.8	65.8	100	100
-65.9	65.9	100	100
-66.0	66.0	100	100
-66.1	66.1	100	100
-66.2	66.2	100	100
-66.3	66.3	100	100
-66.4	66.4	100	100
-66.5	66.5	100	100
-66.6	66.6	100	100
-66.7	66.7	100	100
-66.8	66.8	100	100
-66.9	66.9	100	100
-67.0	67.0	100	100
-67.1	67.1	100	100
-67.2	67.2	100	100
-67.3	67.3	100	100
-67.4	67.4	100	100
-67.5	67.5	100	100
-67.6	67.6	100	100
-67.7	67.7	100	100
-67.8	67.8	100	100
-67.9	67.9	100	100
-68.0	68.0	100	100
-68.1	68.1	100	100
-68.2	68.2	100	100
-68.3	68.3	100	100
-68.4	68.4	100	100
-68.5	68.5	100	100
-68.6	68.6	100	100
-68.7	68.7	100	100
-68.8	68.8	100	100
-68.9	68.9	100	100
-69.0	69.0	100	100
-69.1	69.1	100	100
-69.2	69.2	100	100
-69.3	69.3	100	100
-69.4	69.4	100	100
-69.5	69.5	100	100
-69.6	69.6	100	100
-69.7	69.7	100	100
-69.8	69.8	100	100
-69.9	69.9	100	100
-70.0	70.0	100	100
-70.1	70.1	100	100
-70.2	70.2	100	100
-70.3	70.3	100	100
-70.4	70.4	100	100
-70.5	70.5	100	100
-70.6	70.6	100	100
-70.7	70.7	100	100
-70.8	70.8	100	100
-70.9	70.9	100	100
-71.0	71.0	100	100
-71.1	71.1	100	100
-71.2	71.2	100	100
-71.3	71.3	100	100
-71.4	71.4	100	100
-71.5	71.5	100	100
-71.6	71.6	100	100
-71.7	71.7	100	100
-71.8	71.8	100	100
-71.9	71.9	100	100
-72.0	72.0	100	100
-72.1	72.1	100	100
-72.2	72.2	100	100
-72.3	72.3	100	100
-72.4	72.4	100	100
-72.5	72.5	100	100
-72.6	72.6	100	100
-72.7	72.7	100	100
-72.8	72.8	100	100
-72.9	72.9	100	100
-73.0	73.0	100	100
-73.1	73.1	100	100
-73.2	73.2	100	100
-73.3	73.3	100	100
-73.4	73.4	100	100
-73.5	73.5	100	100
-73.6	73.6	100	100
-73.7	73.7	100	100
-73.8	73.8	100	100
-73.9	73.9	100	100
-74.0	74.0	100	100
-74.1	74.1	100	100
-74.2	74.2	100	100
-74.3	74.3	100	100
-74.4	74.4	100	100
-74.5	74.5	100	100
-74.6	74.6	100	100
-74.7	74.7	100	100
-74.8	74.8	100	100
-74.9	74.9	100	100
-75.0	75.0	100	100
-75.1	75.1	100	100
-75.2	75.2	100	100
-75.3	75.3	100	100
-75.4	75.4	100	100
-75.5	75.5	100	100
-75.6	75.6	100	100
-75.7	75.7	100	100
-75.8	75.8	100	100
-75.9	75.9	100	100
-76.0	76.0	100	100
-76.1	76.1	100	100
-76.2	76.2	100	100
-76.3	76.3	100	100
-76.4	76.4	100	100
-76.5	76.5	100	100
-76.6	76.6	100	100
-76.7	76.7	100	100
-76.8	76.8	100	100
-76.9	76.9	100	100
-77.0	77.0	100	100
-77.1	77.1	100	100
-77.2	77.2	100	100
-77.3	77.3	100	100
-77.4	77.4	100	100
-77.5	77.5	100	100
-77.6	77.6	100	100
-77.7	77.7	100	100
-77.8	77.8	100	100
-77.9	77.9	100	100
-78.0	78.0	100	100
-78.1	78.1	100	100
-78.2	78.2	100	100
-78.3	78.3	100	100
-78.4	78.4	100	100
-78.5	78.5	100	100
-78.6	78.6	100	100
-78.7	78.7	100	100
-78.8	78.8	100	100
-78.9	78.9	100	100
-79.0	79.0	100	100
-79.1	79.1	100	100
-79.2	79.2	100	100
-79.3	79.3	100	100
-79.4	79.4	100	100
-79.5	79.5	100	100
-79.6	79.6	100	100
-79.7	79.7	100	100
-79.8	79.8	100	100
-79.9	79.9	100	100
-80.0	80.0	100	100
-80.1	80.1	100	100
-80.2	80.2	100	100
-80.3	80.3	100	100
-80.4	80.4	100	100
-80.5	80.5	100	100
-80.6	80.6	100	100
-80.7	80.7	100	100
-80.8	80.8	100	100
-80.9	80.9	100	100
-81.0	81.0	100	100
-81.1	81.1	100	100
-81.2	81.2	100	100
-81.3	81.3	100	100
-81.4	81.4	100	100
-81.5	81.5	100	100
-81.6	81.6	100	100
-81.7	81.7	100	100
-81.8	81.8	100	100
-81.9	81.9	100	100
-82.0	82.0	100	100
-82.1	82.1	100	100
-82.2	82.2	100	100
-82.3	82.3	100	100
-82.4	82.4	100	100
-82.5	82.5	100	100
-82.6	82.6	100	100
-82.7	82.7	100	100
-82.8	82.8	100	100
-82.9	82.9	100	100
-83.0	83.0	100	100
-83.1	83.1	100	100
-83.2	83.2	100	100
-83.3	83.3	100	100
-83.4	83.4	100	100
-83.5	83.5	100	100
-83.6	83.6	100	100
-83.7	83.7	100	100
-83.8	83.8	100	100
-83.9	83.9	100	100
-84.0	84.0	100	100
-84.1	84.1	100	100
-84.2	84.2	100	100
-84.3	84.3	100	100
-84.4	84.4	100	100
-84.5	84.5	100	100
-84.6	84.6	100	100
-84.7	84.7	100	100
-84.8	84.8	100	100
-84.9	84.9	100	100
-85.0	85.0	100	100
-85.1	85.1	100	100
-85.2	85.2	100	100
-85.3	85.3	100	100
-85.4	85.4	100	100
-85.5	85.5	100	100
-85.6	85.6	100	100
-85.7	85.7	100	100
-85.8	85.8	100	100
-85.9	85.9	100	100
-86.0	86.0	100	100
-86.1	86.1	100	100
-86.2	86.2	100	100
-86.3	86.3	100	100
-86.4	86.4	100	100
-86.5	86.5	100	100
-86.6	86.6	100	100
-86.7	86.7	100	100
-86.8	86.8	100	100
-86.9	86.9	100	100
-87.0	87.0	100	100
-87.1	87.1	100	100
-87.2	87.2	100	100
-87.3	87.3	100	100
-87.4	87.4	100	100
-87.5	87.5	100	100
-87.6	87.6	100	100
-87.7	87.7	100	100
-87.8	87.8	100	100
-87.9	87.9	100	100
-88.0	88.0	100	100
-88.1	88.1	100	100
-88.2	88.2	100	100
-88.3	88.3	100	100
-88.4	88.4	100	100
-88.5	88.5	100	100
-88.6	88.6	100	100
-88.7	88.7	100	100
-88.8	88.8	100	100
-88.9	88.9	100	100
-89.0	89.0	100	100
-89.1	89.1	100	100
-89.2	89.2	100	100
-89.3	89.3	100	100
-89.4	89.4	100	100
-89.5	89.5	100	100
-89.6	89.6	100	100
-89.7	89.7	100	100
-89.8	89.8	100	100
-89.9	89.9	100	100
-90.0	90.0	100	100
-90.1	90.1	100	100
-90.2	90.2	100	100
-90.3	90.3	100	100
-90.4	90.4	100	100
-90.5	90.5	100	100
-90.6	90.6	100	100
-90.7	90.7	100	100
-90.8	90.8	100	100
-90.9	90.9	100	100
-91.0	91.0	100	100
-91.1	91.1	100	100
-91.2	91.2	100	100
-91.3	91.3	100	100
-91.4	91.4	100	100
-91.5	91.5	100	100
-91.6	91.6	100	100
-91.7	91.7	100	100
-91.8	91.8	100	100
-91.9	91.9	100	100
-92.0	92.0	100	100
-92.1	92.1	100	100
-92.2	92.2	100	100
-92.3	92.3	100	100
-92.4	92.4	100	100
-92.5	92.5	100	100
-92.6	92.6	100	100
-92.7	92.7	100	100
-92.8	92.8	100	100
-92.9	92.9	100	100
-93.0	93.0	100	100
-93.1	93.1	100	100
-93.2	93.2	100	100
-93.3	93.3	100	100
-93.4	93.4	100	100
-93.5	93.5	100	100
-93.6	93.6	100	100
-93.7	93.7	100	100
-93.8	93.8	100	100
-93.9	93.9	100	100
-94.0	94.0	100	100
-94.1	94.1	100	100
-94.2	94.2	100	100
-94.3	94.3	100	100
-94.4	94.4	100	100
-94.5	94.5	100	100
-94.6	94.6	100	100
-94.7	94.7	100	100
-94.8	94.8	100	100
-94.9	94.9	100	100
-95.0	95.0	100	100
-95.1	95.1	100	100
-95.2	95.2	100	100
-95.3	95.3	100	100
-95.4	95.4	100	100
-95.5	95.5	100	100
-95.6	95.6	100	100
-95.7	95.7	100	100
-95.8	95.8	100	100
-95.9	95.9	100	100
-96.0	96.0	100	100
-96.1	96.1	100	100
-96.2	96.2	100	100
-96.3	96.3	100	100
-96.4	96.4	100	100
-96.5	96.5	100	100
-96.6	96.6	100	100
-96.7	96.7	100	100
-96.8	96.8	100	100
-96.9	96.9	100	100
-97.0	97.0	100	100
-97.1	97.1	100	100
-97.2	97.2	100	100
-97.3	97.3	100	100
-97.4	97.4	100	100
-97.5	97.5	100	100
-97.6	97.6	100	100
-97.7	97.7	100	100
-97.8	97.8	100	100
-97.9	97.9	100	100
-98.0	98.0	100	100
-98.1	98.1	100	100
-98.2	98.2	100	100
-98.3	98.3	100	100
-98.4	98.4	100	100
-98.5	98.5	100	100
-98.6	98.6	100	100
-98.7	98.7	100	100
-98.8	98.8	100	100
-98.9	98.9	100	100
-99.0	99.0	100	100
-99.1	99.1	100	100
-99.2	99.2	100	100
-99.3	99.3	100	100
-99.4	99.4	100	100
-99.5	99.5	100	100
-99.6	99.6	100	100
-99.7	99.7	100	100
-99.8	99.8	100	100
-99.9	99.9	100	100
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt b/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt
deleted file mode 100644
index b0aea82b..00000000
--- a/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt
+++ /dev/null
@@ -1,65 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	IrisMissing
-Variables
-	Categorical	1
-	Numerical	1
-	Total	2
-Database	./IrisMissing.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	150
-Learning task	Classification analysis
-Target variable	Class
-Target descriptive stats
-	Values	3
-	Mode	Iris-setosa
-	Mode frequency	50
-Target variable stats
-	Iris-setosa	50
-	Iris-versicolor	50
-	Iris-virginica	50
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	9.34801
-	Data cost	159.587
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	PW_UM40	Numerical	0.65628		4	16	0.1	1.8	0.8654545455	0.5961141385	40			0.693147	41.7703	15.8411	
-
-Detailed variable statistics
-
-Rank	R1	PW_UM40	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_UM40	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.65]	0.8	1.65
-	]1.65;+inf[	1.65	1.8
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	0	40	0.300596
-]-inf;0.8]	50	0	0	0.375745
-]0.8;1.65]	0	48	4	0.294313
-]1.65;+inf[	0	2	6	0.0293466
diff --git a/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt b/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt
deleted file mode 100644
index 7a569649..00000000
--- a/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt
+++ /dev/null
@@ -1,491 +0,0 @@
-Tool	Khiops
-Version	10.0.0.3i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	IrisMissing
-Variables
-	Categorical	1
-	Numerical	23
-	Total	24
-Database	./IrisMissing.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	150
-Learning task	Classification analysis
-Target variable	Class
-Target descriptive stats
-	Values	3
-	Mode	Iris-setosa
-	Mode frequency	50
-Target variable stats
-	Iris-setosa	50
-	Iris-versicolor	50
-	Iris-virginica	50
-Evaluated variables	23
-Informative variables	21
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODLEqualWidth
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	9.34801
-	Data cost	159.587
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R01	PW_UM20	Numerical	0.89704		6	19	0.1	2.1	1.029230769	0.6707568806	20			3.82864	0	0	
-R02	PW_MM40	Numerical	0.891562		4	19	0.1	2.5	1.162727273	0.88089408	40			3.82864	0	0	
-R03	PW_MM20	Numerical	0.884611		4	22	0.1	2.5	1.180769231	0.8152485373	20			3.82864	0	0	
-R04	PW_UM10	Numerical	0.881639		5	21	0.1	2.3	1.113571429	0.7146638285	10			3.82864	0	0	
-R05	PW_LM40	Numerical	0.877555		6	21	0.3	2.5	1.561818182	0.5415435546	40			3.82864	0	0	
-R06	PW_MM10	Numerical	0.876232		4	23	0.1	2.5	1.190714286	0.7866653335	10			3.82864	0	0	
-R07	PW_MM5	Numerical	0.872777		4	23	0.1	2.5	1.195172414	0.7733787076	5			3.82864	0	0	
-R08	PW_LM10	Numerical	0.869675		4	22	0.2	2.5	1.274285714	0.730691593	10			3.82864	0	0	
-R09	PW_LM20	Numerical	0.869675		4	22	0.2	2.5	1.356923077	0.692369228	20			3.82864	0	0	
-R10	PW_LM5	Numerical	0.869675		4	23	0.1	2.5	1.236551724	0.7452667926	5			3.82864	0	0	
-R11	PetalWidth	Numerical	0.869675		3	22	0.1	2.5	1.198666667	0.7606126186	0			3.82864	0	0	
-R12	PW_UM5	Numerical	0.865341		4	22	0.1	2.4	1.155172414	0.7359658008	5			3.82864	0	0	
-R13	PW_RM5	Numerical	0.850458		4	23	0.1	2.5	1.217931034	0.7590074249	5			3.82864	0	0	
-R14	PW_UM40	Numerical	0.835953		3	16	0.1	1.8	0.8654545455	0.5961141385	40			3.82864	0	0	
-R15	PetalLength	Numerical	0.83577		3	43	1	6.9	3.758666667	1.758529183	0			3.82864	0	0	
-R16	PW_RM10	Numerical	0.809289		4	23	0.1	2.5	1.22	0.7533923281	10			3.82864	0	0	
-R17	PW_RM20	Numerical	0.76144		4	23	0.1	2.5	1.237692308	0.7559268773	20			3.82864	0	0	
-R18	PW_RM40	Numerical	0.629561		4	23	0.1	2.5	1.246363636	0.7555464335	40			3.82864	0	0	
-R19	PW_RM80	Numerical	0.400545		4	22	0.1	2.5	1.278571429	0.7224744893	80			3.82864	0	0	
-R20	SepalLength	Numerical	0.38626		3	35	4.3	7.9	5.843333333	0.8253012918	0			3.82864	0	0	
-R21	SepalWidth	Numerical	0.242191		5	23	2	4.4	3.054	0.4321465801	0			3.82864	0	0	
-R22	Constant	Numerical	0		1	1	0	0	0	0	0			3.82864	0	0	Copy(0)
-R23	PW_allM	Numerical	0		1	1	None	None	None	None	150			3.82864	0	0	
-
-Detailed variable statistics
-
-Rank	R01	PW_UM20	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_UM20	Numerical	Intervals
-	Missing
-	]-inf;0.55]	0.1	0.55
-	]0.55;0.8]	0.55	0.8
-	]0.8;1.35]	0.8	1.35
-	]1.35;1.75]	1.35	1.75
-	]1.75;+inf[	1.75	2.1
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	0	20	0.148637
-]-inf;0.55]	49	0	0	0.364161
-]0.55;0.8]	1	0	0	0.00743185
-]0.8;1.35]	0	28	0	0.208092
-]1.35;1.75]	0	21	5	0.107124
-]1.75;+inf[	0	1	25	0.164555
-
-Rank	R02	PW_MM40	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_MM40	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	39	1	0.267272
-]-inf;0.8]	50	0	0	0.373876
-]0.8;1.75]	0	10	4	0.047677
-]1.75;+inf[	0	1	45	0.311175
-
-Rank	R03	PW_MM20	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_MM20	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	20	0	0.150725
-]-inf;0.8]	50	0	0	0.376814
-]0.8;1.75]	0	29	5	0.158841
-]1.75;+inf[	0	1	45	0.31362
-
-Rank	R04	PW_UM10	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_UM10	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.25]	0.8	1.25
-	]1.25;1.75]	1.25	1.75
-	]1.75;+inf[	1.75	2.3
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	0	10	0.0756168
-]-inf;0.8]	50	0	0	0.378084
-]0.8;1.25]	0	15	0	0.113425
-]1.25;1.75]	0	34	5	0.192106
-]1.75;+inf[	0	1	35	0.240769
-
-Rank	R05	PW_LM40	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_LM40	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.3	0.8
-	]0.8;1.15]	0.8	1.15
-	]1.15;1.65]	1.15	1.65
-	]1.65;2.05]	1.65	2.05
-	]2.05;+inf[	2.05	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	40	0	0	0.303875
-]-inf;0.8]	10	0	0	0.0759686
-]0.8;1.15]	0	10	0	0.0759686
-]1.15;1.65]	0	38	4	0.227731
-]1.65;2.05]	0	2	23	0.14173
-]2.05;+inf[	0	0	23	0.174728
-
-Rank	R06	PW_MM10	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_MM10	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	10	0	0.0760833
-]-inf;0.8]	50	0	0	0.380417
-]0.8;1.75]	0	39	5	0.226881
-]1.75;+inf[	0	1	45	0.316619
-
-Rank	R07	PW_MM5	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_MM5	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	5	0	0.0381923
-]-inf;0.8]	50	0	0	0.381923
-]0.8;1.75]	0	44	5	0.262013
-]1.75;+inf[	0	1	45	0.317872
-
-Rank	R08	PW_LM10	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_LM10	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.2	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	10	0	0	0.076657
-]-inf;0.8]	40	0	0	0.306628
-]0.8;1.75]	0	49	5	0.297709
-]1.75;+inf[	0	1	45	0.319006
-
-Rank	R09	PW_LM20	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_LM20	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.2	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	20	0	0	0.153314
-]-inf;0.8]	30	0	0	0.229971
-]0.8;1.75]	0	49	5	0.297709
-]1.75;+inf[	0	1	45	0.319006
-
-Rank	R10	PW_LM5	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_LM5	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	5	0	0	0.0383285
-]-inf;0.8]	45	0	0	0.344956
-]0.8;1.75]	0	49	5	0.297709
-]1.75;+inf[	0	1	45	0.319006
-
-Rank	R11	PetalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalWidth	Numerical	Intervals
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;0.8]	50	0	0	0.383285
-]0.8;1.75]	0	49	5	0.297709
-]1.75;+inf[	0	1	45	0.319006
-
-Rank	R12	PW_UM5	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_UM5	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.65]	0.8	1.65
-	]1.65;+inf[	1.65	2.4
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	0	5	0.0385205
-]-inf;0.8]	50	0	0	0.385205
-]0.8;1.65]	0	48	4	0.301723
-]1.65;+inf[	0	2	41	0.274552
-
-Rank	R13	PW_RM5	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_RM5	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	3	2	0	0.0151839
-]-inf;0.8]	47	0	0	0.368429
-]0.8;1.75]	0	47	5	0.290173
-]1.75;+inf[	0	1	45	0.326214
-
-Rank	R14	PW_UM40	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_UM40	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;+inf[	0.8	1.8
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	0	0	40	0.318997
-]-inf;0.8]	50	0	0	0.398747
-]0.8;+inf[	0	50	10	0.282256
-
-Rank	R15	PetalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-PetalLength	Numerical	Intervals
-	]-inf;2.4]	1	2.4
-	]2.4;4.95]	2.4	4.95
-	]4.95;+inf[	4.95	6.9
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.4]	50	0	0	0.398834
-]2.4;4.95]	0	48	6	0.293972
-]4.95;+inf[	0	2	44	0.307195
-
-Rank	R16	PW_RM10	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_RM10	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	5	3	2	0.00517075
-]-inf;0.8]	45	0	0	0.370696
-]0.8;1.75]	0	46	5	0.297462
-]1.75;+inf[	0	1	43	0.326671
-
-Rank	R17	PW_RM20	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_RM20	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	9	7	4	0.00796284
-]-inf;0.8]	41	0	0	0.358969
-]0.8;1.75]	0	42	4	0.294439
-]1.75;+inf[	0	1	42	0.338629
-
-Rank	R18	PW_RM40	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_RM40	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.75]	0.8	1.75
-	]1.75;+inf[	1.75	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	16	13	11	0.00454881
-]-inf;0.8]	34	0	0	0.360039
-]0.8;1.75]	0	36	4	0.298238
-]1.75;+inf[	0	1	35	0.337173
-
-Rank	R19	PW_RM80	Numerical
-
-Data grid	Supervised
-Dimensions
-PW_RM80	Numerical	Intervals
-	Missing
-	]-inf;0.8]	0.1	0.8
-	]0.8;1.7]	0.8	1.7
-	]1.7;+inf[	1.7	2.5
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-Missing	30	24	26	0.00525062
-]-inf;0.8]	20	0	0	0.33288
-]0.8;1.7]	0	25	2	0.341377
-]1.7;+inf[	0	1	22	0.320493
-
-Rank	R20	SepalLength	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalLength	Numerical	Intervals
-	]-inf;5.55]	4.3	5.55
-	]5.55;6.75]	5.55	6.75
-	]6.75;+inf[	6.75	7.9
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;5.55]	47	11	1	0.496087
-]5.55;6.75]	3	36	32	0.29154
-]6.75;+inf[	0	3	17	0.212373
-
-Rank	R21	SepalWidth	Numerical
-
-Data grid	Supervised
-Dimensions
-SepalWidth	Numerical	Intervals
-	]-inf;2.45]	2	2.45
-	]2.45;2.95]	2.45	2.95
-	]2.95;3.45]	2.95	3.45
-	]3.45;3.95]	3.45	3.95
-	]3.95;+inf[	3.95	4.4
-Class	Categorical	Values
-	Iris-setosa
-	Iris-versicolor
-	Iris-virginica
-Cells
-Interval	Iris-setosa	Iris-versicolor	Iris-virginica	Interest
-]-inf;2.45]	1	9	1	0.137378
-]2.45;2.95]	1	25	20	0.370955
-]2.95;3.45]	27	16	26	0.0428559
-]3.45;3.95]	17	0	3	0.338705
-]3.95;+inf[	4	0	0	0.110106
diff --git a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt b/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
deleted file mode 100644
index a0dcfe4b..00000000
--- a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt
+++ /dev/null
@@ -1,69 +0,0 @@
-Tool	Khiops
-Version	10.0.6i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	BugNC
-Variables
-	Categorical	1
-	Numerical	1
-	Total	2
-Database	./BugTiny.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	2
-Learning task	Unsupervised analysis
-Evaluated variables	2
-Informative variables	0
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	1
-Discretization	EqualWidth
-Value grouping	BasicGrouping
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Sparse missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Var1	Numerical				2	1	2	1.5	0.5	0	0			1.38629			
-R2	Var2	Categorical				2							0	0	A	1	1.38629			
-
-Detailed variable statistics
-
-Rank	R1	Var1	Numerical
-
-Data grid	Unsupervised
-Dimensions
-Var1	Numerical	Intervals
-	]-inf;1.5]	1	1.5
-	]1.5;+inf[	1.5	2
-Cells
-Interval	Frequency
-]-inf;1.5]	1
-]1.5;+inf[	1
-
-
-Report	Bivariate preparation
-
-Dictionary	BugNC
-Variables
-	Categorical	1
-	Numerical	1
-	Total	2
-Database	./BugTiny.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	2
-Learning task	Unsupervised analysis
-Evaluated variable pairs	1
-Informative variable pairs	0
-
-Variable pair statistics
-Rank	Name 1	Name 2	Level	Variables	Parts 1	Parts 2	Cells	Construction cost	Preparation cost	Data cost
-R1	Var1	Var2	0	0	1	1	1	0.693147	1.09861	1.38629
-
-Detailed variable pair statistics
diff --git a/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt b/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt
deleted file mode 100644
index b7244560..00000000
--- a/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt
+++ /dev/null
@@ -1,4126 +0,0 @@
-Tool	Khiops
-Version	10.0.3
-Short description	
-Logs
-Modeling
-warning : Classifier Selective Naive Bayes : No informative input variable available
-
-
-Report	Preparation
-
-Dictionary	Adult
-Variables
-	Categorical	1
-	Total	1
-Database	C:\Applications\khiops\samples\Adult\Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	34174
-Learning task	Classification analysis
-Target variable	class
-Target descriptive stats
-	Values	2
-	Mode	less
-	Mode frequency	26028
-Target variable stats
-	less	26028
-	more	8146
-Evaluated variables	0
-Informative variables	0
-Max number of constructed variables	100
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	10.4392
-	Data cost	18762.8
-
-
-Report	Modeling
-
-Dictionary	Adult
-Database	C:\Applications\khiops\samples\Adult\Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Classification analysis
-Target variable	class
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0
-
-Detailed trained predictors
-
-
-Report	Evaluation	Train
-
-Dictionary	Adult
-Database	C:\Applications\khiops\samples\Adult\Adult.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	34174
-Learning task	Classification analysis
-Target variable	class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.761632	0	0.5
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	less	more
-$less	26028	8146
-$more	0	0
-
-Lift curves	less
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.131297	0.1
-0.2	0.2	0.262594	0.2
-0.3	0.3	0.393891	0.3
-0.4	0.4	0.525188	0.4
-0.5	0.5	0.656485	0.5
-0.6	0.6	0.787782	0.6
-0.7	0.7	0.919079	0.7
-0.8	0.8	1.05038	0.8
-0.9	0.9	1.18167	0.9
-1.0	1.0	1.31297	1
-1.1	1.1	1.44427	1.1
-1.2	1.2	1.57556	1.2
-1.3	1.3	1.70686	1.3
-1.4	1.4	1.83816	1.4
-1.5	1.5	1.96946	1.5
-1.6	1.6	2.10075	1.6
-1.7	1.7	2.23205	1.7
-1.8	1.8	2.36335	1.8
-1.9	1.9	2.49464	1.9
-2.0	2.0	2.62594	2
-2.1	2.1	2.75724	2.1
-2.2	2.2	2.88854	2.2
-2.3	2.3	3.01983	2.3
-2.4	2.4	3.15113	2.4
-2.5	2.5	3.28243	2.5
-2.6	2.6	3.41372	2.6
-2.7	2.7	3.54502	2.7
-2.8	2.8	3.67632	2.8
-2.9	2.9	3.80761	2.9
-3.0	3.0	3.93891	3
-3.1	3.1	4.07021	3.1
-3.2	3.2	4.20151	3.2
-3.3	3.3	4.3328	3.3
-3.4	3.4	4.4641	3.4
-3.5	3.5	4.5954	3.5
-3.6	3.6	4.72669	3.6
-3.7	3.7	4.85799	3.7
-3.8	3.8	4.98929	3.8
-3.9	3.9	5.12059	3.9
-4.0	4.0	5.25188	4
-4.1	4.1	5.38318	4.1
-4.2	4.2	5.51448	4.2
-4.3	4.3	5.64577	4.3
-4.4	4.4	5.77707	4.4
-4.5	4.5	5.90837	4.5
-4.6	4.6	6.03966	4.6
-4.7	4.7	6.17096	4.7
-4.8	4.8	6.30226	4.8
-4.9	4.9	6.43356	4.9
-5.0	5.0	6.56485	5
-5.1	5.1	6.69615	5.1
-5.2	5.2	6.82745	5.2
-5.3	5.3	6.95874	5.3
-5.4	5.4	7.09004	5.4
-5.5	5.5	7.22134	5.5
-5.6	5.6	7.35264	5.6
-5.7	5.7	7.48393	5.7
-5.8	5.8	7.61523	5.8
-5.9	5.9	7.74653	5.9
-6.0	6.0	7.87782	6
-6.1	6.1	8.00912	6.1
-6.2	6.2	8.14042	6.2
-6.3	6.3	8.27172	6.3
-6.4	6.4	8.40301	6.4
-6.5	6.5	8.53431	6.5
-6.6	6.6	8.66561	6.6
-6.7	6.7	8.7969	6.7
-6.8	6.8	8.9282	6.8
-6.9	6.9	9.0595	6.9
-7.0	7.0	9.19079	7
-7.1	7.1	9.32209	7.1
-7.2	7.2	9.45339	7.2
-7.3	7.3	9.58469	7.3
-7.4	7.4	9.71598	7.4
-7.5	7.5	9.84728	7.5
-7.6	7.6	9.97858	7.6
-7.7	7.7	10.1099	7.7
-7.8	7.8	10.2412	7.8
-7.9	7.9	10.3725	7.9
-8.0	8.0	10.5038	8
-8.1	8.1	10.6351	8.1
-8.2	8.2	10.7664	8.2
-8.3	8.3	10.8977	8.3
-8.4	8.4	11.029	8.4
-8.5	8.5	11.1603	8.5
-8.6	8.6	11.2915	8.6
-8.7	8.7	11.4228	8.7
-8.8	8.8	11.5541	8.8
-8.9	8.9	11.6854	8.9
-9.0	9.0	11.8167	9
-9.1	9.1	11.948	9.1
-9.2	9.2	12.0793	9.2
-9.3	9.3	12.2106	9.3
-9.4	9.4	12.3419	9.4
-9.5	9.5	12.4732	9.5
-9.6	9.6	12.6045	9.6
-9.7	9.7	12.7358	9.7
-9.8	9.8	12.8671	9.8
-9.9	9.9	12.9984	9.9
-10.0	10.0	13.1297	10
-10.1	10.1	13.261	10.1
-10.2	10.2	13.3923	10.2
-10.3	10.3	13.5236	10.3
-10.4	10.4	13.6549	10.4
-10.5	10.5	13.7862	10.5
-10.6	10.6	13.9175	10.6
-10.7	10.7	14.0488	10.7
-10.8	10.8	14.1801	10.8
-10.9	10.9	14.3114	10.9
-11.0	11.0	14.4427	11
-11.1	11.1	14.574	11.1
-11.2	11.2	14.7053	11.2
-11.3	11.3	14.8366	11.3
-11.4	11.4	14.9679	11.4
-11.5	11.5	15.0992	11.5
-11.6	11.6	15.2305	11.6
-11.7	11.7	15.3618	11.7
-11.8	11.8	15.4931	11.8
-11.9	11.9	15.6244	11.9
-12.0	12.0	15.7556	12
-12.1	12.1	15.8869	12.1
-12.2	12.2	16.0182	12.2
-12.3	12.3	16.1495	12.3
-12.4	12.4	16.2808	12.4
-12.5	12.5	16.4121	12.5
-12.6	12.6	16.5434	12.6
-12.7	12.7	16.6747	12.7
-12.8	12.8	16.806	12.8
-12.9	12.9	16.9373	12.9
-13.0	13.0	17.0686	13
-13.1	13.1	17.1999	13.1
-13.2	13.2	17.3312	13.2
-13.3	13.3	17.4625	13.3
-13.4	13.4	17.5938	13.4
-13.5	13.5	17.7251	13.5
-13.6	13.6	17.8564	13.6
-13.7	13.7	17.9877	13.7
-13.8	13.8	18.119	13.8
-13.9	13.9	18.2503	13.9
-14.0	14.0	18.3816	14
-14.1	14.1	18.5129	14.1
-14.2	14.2	18.6442	14.2
-14.3	14.3	18.7755	14.3
-14.4	14.4	18.9068	14.4
-14.5	14.5	19.0381	14.5
-14.6	14.6	19.1694	14.6
-14.7	14.7	19.3007	14.7
-14.8	14.8	19.432	14.8
-14.9	14.9	19.5633	14.9
-15.0	15.0	19.6946	15
-15.1	15.1	19.8259	15.1
-15.2	15.2	19.9572	15.2
-15.3	15.3	20.0885	15.3
-15.4	15.4	20.2197	15.4
-15.5	15.5	20.351	15.5
-15.6	15.6	20.4823	15.6
-15.7	15.7	20.6136	15.7
-15.8	15.8	20.7449	15.8
-15.9	15.9	20.8762	15.9
-16.0	16.0	21.0075	16
-16.1	16.1	21.1388	16.1
-16.2	16.2	21.2701	16.2
-16.3	16.3	21.4014	16.3
-16.4	16.4	21.5327	16.4
-16.5	16.5	21.664	16.5
-16.6	16.6	21.7953	16.6
-16.7	16.7	21.9266	16.7
-16.8	16.8	22.0579	16.8
-16.9	16.9	22.1892	16.9
-17.0	17.0	22.3205	17
-17.1	17.1	22.4518	17.1
-17.2	17.2	22.5831	17.2
-17.3	17.3	22.7144	17.3
-17.4	17.4	22.8457	17.4
-17.5	17.5	22.977	17.5
-17.6	17.6	23.1083	17.6
-17.7	17.7	23.2396	17.7
-17.8	17.8	23.3709	17.8
-17.9	17.9	23.5022	17.9
-18.0	18.0	23.6335	18
-18.1	18.1	23.7648	18.1
-18.2	18.2	23.8961	18.2
-18.3	18.3	24.0274	18.3
-18.4	18.4	24.1587	18.4
-18.5	18.5	24.29	18.5
-18.6	18.6	24.4213	18.6
-18.7	18.7	24.5526	18.7
-18.8	18.8	24.6838	18.8
-18.9	18.9	24.8151	18.9
-19.0	19.0	24.9464	19
-19.1	19.1	25.0777	19.1
-19.2	19.2	25.209	19.2
-19.3	19.3	25.3403	19.3
-19.4	19.4	25.4716	19.4
-19.5	19.5	25.6029	19.5
-19.6	19.6	25.7342	19.6
-19.7	19.7	25.8655	19.7
-19.8	19.8	25.9968	19.8
-19.9	19.9	26.1281	19.9
-20.0	20.0	26.2594	20
-20.1	20.1	26.3907	20.1
-20.2	20.2	26.522	20.2
-20.3	20.3	26.6533	20.3
-20.4	20.4	26.7846	20.4
-20.5	20.5	26.9159	20.5
-20.6	20.6	27.0472	20.6
-20.7	20.7	27.1785	20.7
-20.8	20.8	27.3098	20.8
-20.9	20.9	27.4411	20.9
-21.0	21.0	27.5724	21
-21.1	21.1	27.7037	21.1
-21.2	21.2	27.835	21.2
-21.3	21.3	27.9663	21.3
-21.4	21.4	28.0976	21.4
-21.5	21.5	28.2289	21.5
-21.6	21.6	28.3602	21.6
-21.7	21.7	28.4915	21.7
-21.8	21.8	28.6228	21.8
-21.9	21.9	28.7541	21.9
-22.0	22.0	28.8854	22
-22.1	22.1	29.0167	22.1
-22.2	22.2	29.1479	22.2
-22.3	22.3	29.2792	22.3
-22.4	22.4	29.4105	22.4
-22.5	22.5	29.5418	22.5
-22.6	22.6	29.6731	22.6
-22.7	22.7	29.8044	22.7
-22.8	22.8	29.9357	22.8
-22.9	22.9	30.067	22.9
-23.0	23.0	30.1983	23
-23.1	23.1	30.3296	23.1
-23.2	23.2	30.4609	23.2
-23.3	23.3	30.5922	23.3
-23.4	23.4	30.7235	23.4
-23.5	23.5	30.8548	23.5
-23.6	23.6	30.9861	23.6
-23.7	23.7	31.1174	23.7
-23.8	23.8	31.2487	23.8
-23.9	23.9	31.38	23.9
-24.0	24.0	31.5113	24
-24.1	24.1	31.6426	24.1
-24.2	24.2	31.7739	24.2
-24.3	24.3	31.9052	24.3
-24.4	24.4	32.0365	24.4
-24.5	24.5	32.1678	24.5
-24.6	24.6	32.2991	24.6
-24.7	24.7	32.4304	24.7
-24.8	24.8	32.5617	24.8
-24.9	24.9	32.693	24.9
-25.0	25.0	32.8243	25
-25.1	25.1	32.9556	25.1
-25.2	25.2	33.0869	25.2
-25.3	25.3	33.2182	25.3
-25.4	25.4	33.3495	25.4
-25.5	25.5	33.4808	25.5
-25.6	25.6	33.612	25.6
-25.7	25.7	33.7433	25.7
-25.8	25.8	33.8746	25.8
-25.9	25.9	34.0059	25.9
-26.0	26.0	34.1372	26
-26.1	26.1	34.2685	26.1
-26.2	26.2	34.3998	26.2
-26.3	26.3	34.5311	26.3
-26.4	26.4	34.6624	26.4
-26.5	26.5	34.7937	26.5
-26.6	26.6	34.925	26.6
-26.7	26.7	35.0563	26.7
-26.8	26.8	35.1876	26.8
-26.9	26.9	35.3189	26.9
-27.0	27.0	35.4502	27
-27.1	27.1	35.5815	27.1
-27.2	27.2	35.7128	27.2
-27.3	27.3	35.8441	27.3
-27.4	27.4	35.9754	27.4
-27.5	27.5	36.1067	27.5
-27.6	27.6	36.238	27.6
-27.7	27.7	36.3693	27.7
-27.8	27.8	36.5006	27.8
-27.9	27.9	36.6319	27.9
-28.0	28.0	36.7632	28
-28.1	28.1	36.8945	28.1
-28.2	28.2	37.0258	28.2
-28.3	28.3	37.1571	28.3
-28.4	28.4	37.2884	28.4
-28.5	28.5	37.4197	28.5
-28.6	28.6	37.551	28.6
-28.7	28.7	37.6823	28.7
-28.8	28.8	37.8136	28.8
-28.9	28.9	37.9449	28.9
-29.0	29.0	38.0761	29
-29.1	29.1	38.2074	29.1
-29.2	29.2	38.3387	29.2
-29.3	29.3	38.47	29.3
-29.4	29.4	38.6013	29.4
-29.5	29.5	38.7326	29.5
-29.6	29.6	38.8639	29.6
-29.7	29.7	38.9952	29.7
-29.8	29.8	39.1265	29.8
-29.9	29.9	39.2578	29.9
-30.0	30.0	39.3891	30
-30.1	30.1	39.5204	30.1
-30.2	30.2	39.6517	30.2
-30.3	30.3	39.783	30.3
-30.4	30.4	39.9143	30.4
-30.5	30.5	40.0456	30.5
-30.6	30.6	40.1769	30.6
-30.7	30.7	40.3082	30.7
-30.8	30.8	40.4395	30.8
-30.9	30.9	40.5708	30.9
-31.0	31.0	40.7021	31
-31.1	31.1	40.8334	31.1
-31.2	31.2	40.9647	31.2
-31.3	31.3	41.096	31.3
-31.4	31.4	41.2273	31.4
-31.5	31.5	41.3586	31.5
-31.6	31.6	41.4899	31.6
-31.7	31.7	41.6212	31.7
-31.8	31.8	41.7525	31.8
-31.9	31.9	41.8838	31.9
-32.0	32.0	42.0151	32
-32.1	32.1	42.1464	32.1
-32.2	32.2	42.2777	32.2
-32.3	32.3	42.409	32.3
-32.4	32.4	42.5402	32.4
-32.5	32.5	42.6715	32.5
-32.6	32.6	42.8028	32.6
-32.7	32.7	42.9341	32.7
-32.8	32.8	43.0654	32.8
-32.9	32.9	43.1967	32.9
-33.0	33.0	43.328	33
-33.1	33.1	43.4593	33.1
-33.2	33.2	43.5906	33.2
-33.3	33.3	43.7219	33.3
-33.4	33.4	43.8532	33.4
-33.5	33.5	43.9845	33.5
-33.6	33.6	44.1158	33.6
-33.7	33.7	44.2471	33.7
-33.8	33.8	44.3784	33.8
-33.9	33.9	44.5097	33.9
-34.0	34.0	44.641	34
-34.1	34.1	44.7723	34.1
-34.2	34.2	44.9036	34.2
-34.3	34.3	45.0349	34.3
-34.4	34.4	45.1662	34.4
-34.5	34.5	45.2975	34.5
-34.6	34.6	45.4288	34.6
-34.7	34.7	45.5601	34.7
-34.8	34.8	45.6914	34.8
-34.9	34.9	45.8227	34.9
-35.0	35.0	45.954	35
-35.1	35.1	46.0853	35.1
-35.2	35.2	46.2166	35.2
-35.3	35.3	46.3479	35.3
-35.4	35.4	46.4792	35.4
-35.5	35.5	46.6105	35.5
-35.6	35.6	46.7418	35.6
-35.7	35.7	46.8731	35.7
-35.8	35.8	47.0043	35.8
-35.9	35.9	47.1356	35.9
-36.0	36.0	47.2669	36
-36.1	36.1	47.3982	36.1
-36.2	36.2	47.5295	36.2
-36.3	36.3	47.6608	36.3
-36.4	36.4	47.7921	36.4
-36.5	36.5	47.9234	36.5
-36.6	36.6	48.0547	36.6
-36.7	36.7	48.186	36.7
-36.8	36.8	48.3173	36.8
-36.9	36.9	48.4486	36.9
-37.0	37.0	48.5799	37
-37.1	37.1	48.7112	37.1
-37.2	37.2	48.8425	37.2
-37.3	37.3	48.9738	37.3
-37.4	37.4	49.1051	37.4
-37.5	37.5	49.2364	37.5
-37.6	37.6	49.3677	37.6
-37.7	37.7	49.499	37.7
-37.8	37.8	49.6303	37.8
-37.9	37.9	49.7616	37.9
-38.0	38.0	49.8929	38
-38.1	38.1	50.0242	38.1
-38.2	38.2	50.1555	38.2
-38.3	38.3	50.2868	38.3
-38.4	38.4	50.4181	38.4
-38.5	38.5	50.5494	38.5
-38.6	38.6	50.6807	38.6
-38.7	38.7	50.812	38.7
-38.8	38.8	50.9433	38.8
-38.9	38.9	51.0746	38.9
-39.0	39.0	51.2059	39
-39.1	39.1	51.3372	39.1
-39.2	39.2	51.4684	39.2
-39.3	39.3	51.5997	39.3
-39.4	39.4	51.731	39.4
-39.5	39.5	51.8623	39.5
-39.6	39.6	51.9936	39.6
-39.7	39.7	52.1249	39.7
-39.8	39.8	52.2562	39.8
-39.9	39.9	52.3875	39.9
-40.0	40.0	52.5188	40
-40.1	40.1	52.6501	40.1
-40.2	40.2	52.7814	40.2
-40.3	40.3	52.9127	40.3
-40.4	40.4	53.044	40.4
-40.5	40.5	53.1753	40.5
-40.6	40.6	53.3066	40.6
-40.7	40.7	53.4379	40.7
-40.8	40.8	53.5692	40.8
-40.9	40.9	53.7005	40.9
-41.0	41.0	53.8318	41
-41.1	41.1	53.9631	41.1
-41.2	41.2	54.0944	41.2
-41.3	41.3	54.2257	41.3
-41.4	41.4	54.357	41.4
-41.5	41.5	54.4883	41.5
-41.6	41.6	54.6196	41.6
-41.7	41.7	54.7509	41.7
-41.8	41.8	54.8822	41.8
-41.9	41.9	55.0135	41.9
-42.0	42.0	55.1448	42
-42.1	42.1	55.2761	42.1
-42.2	42.2	55.4074	42.2
-42.3	42.3	55.5387	42.3
-42.4	42.4	55.67	42.4
-42.5	42.5	55.8013	42.5
-42.6	42.6	55.9325	42.6
-42.7	42.7	56.0638	42.7
-42.8	42.8	56.1951	42.8
-42.9	42.9	56.3264	42.9
-43.0	43.0	56.4577	43
-43.1	43.1	56.589	43.1
-43.2	43.2	56.7203	43.2
-43.3	43.3	56.8516	43.3
-43.4	43.4	56.9829	43.4
-43.5	43.5	57.1142	43.5
-43.6	43.6	57.2455	43.6
-43.7	43.7	57.3768	43.7
-43.8	43.8	57.5081	43.8
-43.9	43.9	57.6394	43.9
-44.0	44.0	57.7707	44
-44.1	44.1	57.902	44.1
-44.2	44.2	58.0333	44.2
-44.3	44.3	58.1646	44.3
-44.4	44.4	58.2959	44.4
-44.5	44.5	58.4272	44.5
-44.6	44.6	58.5585	44.6
-44.7	44.7	58.6898	44.7
-44.8	44.8	58.8211	44.8
-44.9	44.9	58.9524	44.9
-45.0	45.0	59.0837	45
-45.1	45.1	59.215	45.1
-45.2	45.2	59.3463	45.2
-45.3	45.3	59.4776	45.3
-45.4	45.4	59.6089	45.4
-45.5	45.5	59.7402	45.5
-45.6	45.6	59.8715	45.6
-45.7	45.7	60.0028	45.7
-45.8	45.8	60.1341	45.8
-45.9	45.9	60.2654	45.9
-46.0	46.0	60.3966	46
-46.1	46.1	60.5279	46.1
-46.2	46.2	60.6592	46.2
-46.3	46.3	60.7905	46.3
-46.4	46.4	60.9218	46.4
-46.5	46.5	61.0531	46.5
-46.6	46.6	61.1844	46.6
-46.7	46.7	61.3157	46.7
-46.8	46.8	61.447	46.8
-46.9	46.9	61.5783	46.9
-47.0	47.0	61.7096	47
-47.1	47.1	61.8409	47.1
-47.2	47.2	61.9722	47.2
-47.3	47.3	62.1035	47.3
-47.4	47.4	62.2348	47.4
-47.5	47.5	62.3661	47.5
-47.6	47.6	62.4974	47.6
-47.7	47.7	62.6287	47.7
-47.8	47.8	62.76	47.8
-47.9	47.9	62.8913	47.9
-48.0	48.0	63.0226	48
-48.1	48.1	63.1539	48.1
-48.2	48.2	63.2852	48.2
-48.3	48.3	63.4165	48.3
-48.4	48.4	63.5478	48.4
-48.5	48.5	63.6791	48.5
-48.6	48.6	63.8104	48.6
-48.7	48.7	63.9417	48.7
-48.8	48.8	64.073	48.8
-48.9	48.9	64.2043	48.9
-49.0	49.0	64.3356	49
-49.1	49.1	64.4669	49.1
-49.2	49.2	64.5982	49.2
-49.3	49.3	64.7295	49.3
-49.4	49.4	64.8607	49.4
-49.5	49.5	64.992	49.5
-49.6	49.6	65.1233	49.6
-49.7	49.7	65.2546	49.7
-49.8	49.8	65.3859	49.8
-49.9	49.9	65.5172	49.9
-50.0	50.0	65.6485	50
-50.1	50.1	65.7798	50.1
-50.2	50.2	65.9111	50.2
-50.3	50.3	66.0424	50.3
-50.4	50.4	66.1737	50.4
-50.5	50.5	66.305	50.5
-50.6	50.6	66.4363	50.6
-50.7	50.7	66.5676	50.7
-50.8	50.8	66.6989	50.8
-50.9	50.9	66.8302	50.9
-51.0	51.0	66.9615	51
-51.1	51.1	67.0928	51.1
-51.2	51.2	67.2241	51.2
-51.3	51.3	67.3554	51.3
-51.4	51.4	67.4867	51.4
-51.5	51.5	67.618	51.5
-51.6	51.6	67.7493	51.6
-51.7	51.7	67.8806	51.7
-51.8	51.8	68.0119	51.8
-51.9	51.9	68.1432	51.9
-52.0	52.0	68.2745	52
-52.1	52.1	68.4058	52.1
-52.2	52.2	68.5371	52.2
-52.3	52.3	68.6684	52.3
-52.4	52.4	68.7997	52.4
-52.5	52.5	68.931	52.5
-52.6	52.6	69.0623	52.6
-52.7	52.7	69.1936	52.7
-52.8	52.8	69.3249	52.8
-52.9	52.9	69.4561	52.9
-53.0	53.0	69.5874	53
-53.1	53.1	69.7187	53.1
-53.2	53.2	69.85	53.2
-53.3	53.3	69.9813	53.3
-53.4	53.4	70.1126	53.4
-53.5	53.5	70.2439	53.5
-53.6	53.6	70.3752	53.6
-53.7	53.7	70.5065	53.7
-53.8	53.8	70.6378	53.8
-53.9	53.9	70.7691	53.9
-54.0	54.0	70.9004	54
-54.1	54.1	71.0317	54.1
-54.2	54.2	71.163	54.2
-54.3	54.3	71.2943	54.3
-54.4	54.4	71.4256	54.4
-54.5	54.5	71.5569	54.5
-54.6	54.6	71.6882	54.6
-54.7	54.7	71.8195	54.7
-54.8	54.8	71.9508	54.8
-54.9	54.9	72.0821	54.9
-55.0	55.0	72.2134	55
-55.1	55.1	72.3447	55.1
-55.2	55.2	72.476	55.2
-55.3	55.3	72.6073	55.3
-55.4	55.4	72.7386	55.4
-55.5	55.5	72.8699	55.5
-55.6	55.6	73.0012	55.6
-55.7	55.7	73.1325	55.7
-55.8	55.8	73.2638	55.8
-55.9	55.9	73.3951	55.9
-56.0	56.0	73.5264	56
-56.1	56.1	73.6577	56.1
-56.2	56.2	73.789	56.2
-56.3	56.3	73.9202	56.3
-56.4	56.4	74.0515	56.4
-56.5	56.5	74.1828	56.5
-56.6	56.6	74.3141	56.6
-56.7	56.7	74.4454	56.7
-56.8	56.8	74.5767	56.8
-56.9	56.9	74.708	56.9
-57.0	57.0	74.8393	57
-57.1	57.1	74.9706	57.1
-57.2	57.2	75.1019	57.2
-57.3	57.3	75.2332	57.3
-57.4	57.4	75.3645	57.4
-57.5	57.5	75.4958	57.5
-57.6	57.6	75.6271	57.6
-57.7	57.7	75.7584	57.7
-57.8	57.8	75.8897	57.8
-57.9	57.9	76.021	57.9
-58.0	58.0	76.1523	58
-58.1	58.1	76.2836	58.1
-58.2	58.2	76.4149	58.2
-58.3	58.3	76.5462	58.3
-58.4	58.4	76.6775	58.4
-58.5	58.5	76.8088	58.5
-58.6	58.6	76.9401	58.6
-58.7	58.7	77.0714	58.7
-58.8	58.8	77.2027	58.8
-58.9	58.9	77.334	58.9
-59.0	59.0	77.4653	59
-59.1	59.1	77.5966	59.1
-59.2	59.2	77.7279	59.2
-59.3	59.3	77.8592	59.3
-59.4	59.4	77.9905	59.4
-59.5	59.5	78.1218	59.5
-59.6	59.6	78.2531	59.6
-59.7	59.7	78.3843	59.7
-59.8	59.8	78.5156	59.8
-59.9	59.9	78.6469	59.9
-60.0	60.0	78.7782	60
-60.1	60.1	78.9095	60.1
-60.2	60.2	79.0408	60.2
-60.3	60.3	79.1721	60.3
-60.4	60.4	79.3034	60.4
-60.5	60.5	79.4347	60.5
-60.6	60.6	79.566	60.6
-60.7	60.7	79.6973	60.7
-60.8	60.8	79.8286	60.8
-60.9	60.9	79.9599	60.9
-61.0	61.0	80.0912	61
-61.1	61.1	80.2225	61.1
-61.2	61.2	80.3538	61.2
-61.3	61.3	80.4851	61.3
-61.4	61.4	80.6164	61.4
-61.5	61.5	80.7477	61.5
-61.6	61.6	80.879	61.6
-61.7	61.7	81.0103	61.7
-61.8	61.8	81.1416	61.8
-61.9	61.9	81.2729	61.9
-62.0	62.0	81.4042	62
-62.1	62.1	81.5355	62.1
-62.2	62.2	81.6668	62.2
-62.3	62.3	81.7981	62.3
-62.4	62.4	81.9294	62.4
-62.5	62.5	82.0607	62.5
-62.6	62.6	82.192	62.6
-62.7	62.7	82.3233	62.7
-62.8	62.8	82.4546	62.8
-62.9	62.9	82.5859	62.9
-63.0	63.0	82.7172	63
-63.1	63.1	82.8484	63.1
-63.2	63.2	82.9797	63.2
-63.3	63.3	83.111	63.3
-63.4	63.4	83.2423	63.4
-63.5	63.5	83.3736	63.5
-63.6	63.6	83.5049	63.6
-63.7	63.7	83.6362	63.7
-63.8	63.8	83.7675	63.8
-63.9	63.9	83.8988	63.9
-64.0	64.0	84.0301	64
-64.1	64.1	84.1614	64.1
-64.2	64.2	84.2927	64.2
-64.3	64.3	84.424	64.3
-64.4	64.4	84.5553	64.4
-64.5	64.5	84.6866	64.5
-64.6	64.6	84.8179	64.6
-64.7	64.7	84.9492	64.7
-64.8	64.8	85.0805	64.8
-64.9	64.9	85.2118	64.9
-65.0	65.0	85.3431	65
-65.1	65.1	85.4744	65.1
-65.2	65.2	85.6057	65.2
-65.3	65.3	85.737	65.3
-65.4	65.4	85.8683	65.4
-65.5	65.5	85.9996	65.5
-65.6	65.6	86.1309	65.6
-65.7	65.7	86.2622	65.7
-65.8	65.8	86.3935	65.8
-65.9	65.9	86.5248	65.9
-66.0	66.0	86.6561	66
-66.1	66.1	86.7874	66.1
-66.2	66.2	86.9187	66.2
-66.3	66.3	87.05	66.3
-66.4	66.4	87.1813	66.4
-66.5	66.5	87.3125	66.5
-66.6	66.6	87.4438	66.6
-66.7	66.7	87.5751	66.7
-66.8	66.8	87.7064	66.8
-66.9	66.9	87.8377	66.9
-67.0	67.0	87.969	67
-67.1	67.1	88.1003	67.1
-67.2	67.2	88.2316	67.2
-67.3	67.3	88.3629	67.3
-67.4	67.4	88.4942	67.4
-67.5	67.5	88.6255	67.5
-67.6	67.6	88.7568	67.6
-67.7	67.7	88.8881	67.7
-67.8	67.8	89.0194	67.8
-67.9	67.9	89.1507	67.9
-68.0	68.0	89.282	68
-68.1	68.1	89.4133	68.1
-68.2	68.2	89.5446	68.2
-68.3	68.3	89.6759	68.3
-68.4	68.4	89.8072	68.4
-68.5	68.5	89.9385	68.5
-68.6	68.6	90.0698	68.6
-68.7	68.7	90.2011	68.7
-68.8	68.8	90.3324	68.8
-68.9	68.9	90.4637	68.9
-69.0	69.0	90.595	69
-69.1	69.1	90.7263	69.1
-69.2	69.2	90.8576	69.2
-69.3	69.3	90.9889	69.3
-69.4	69.4	91.1202	69.4
-69.5	69.5	91.2515	69.5
-69.6	69.6	91.3828	69.6
-69.7	69.7	91.5141	69.7
-69.8	69.8	91.6454	69.8
-69.9	69.9	91.7766	69.9
-70.0	70.0	91.9079	70
-70.1	70.1	92.0392	70.1
-70.2	70.2	92.1705	70.2
-70.3	70.3	92.3018	70.3
-70.4	70.4	92.4331	70.4
-70.5	70.5	92.5644	70.5
-70.6	70.6	92.6957	70.6
-70.7	70.7	92.827	70.7
-70.8	70.8	92.9583	70.8
-70.9	70.9	93.0896	70.9
-71.0	71.0	93.2209	71
-71.1	71.1	93.3522	71.1
-71.2	71.2	93.4835	71.2
-71.3	71.3	93.6148	71.3
-71.4	71.4	93.7461	71.4
-71.5	71.5	93.8774	71.5
-71.6	71.6	94.0087	71.6
-71.7	71.7	94.14	71.7
-71.8	71.8	94.2713	71.8
-71.9	71.9	94.4026	71.9
-72.0	72.0	94.5339	72
-72.1	72.1	94.6652	72.1
-72.2	72.2	94.7965	72.2
-72.3	72.3	94.9278	72.3
-72.4	72.4	95.0591	72.4
-72.5	72.5	95.1904	72.5
-72.6	72.6	95.3217	72.6
-72.7	72.7	95.453	72.7
-72.8	72.8	95.5843	72.8
-72.9	72.9	95.7156	72.9
-73.0	73.0	95.8469	73
-73.1	73.1	95.9782	73.1
-73.2	73.2	96.1095	73.2
-73.3	73.3	96.2407	73.3
-73.4	73.4	96.372	73.4
-73.5	73.5	96.5033	73.5
-73.6	73.6	96.6346	73.6
-73.7	73.7	96.7659	73.7
-73.8	73.8	96.8972	73.8
-73.9	73.9	97.0285	73.9
-74.0	74.0	97.1598	74
-74.1	74.1	97.2911	74.1
-74.2	74.2	97.4224	74.2
-74.3	74.3	97.5537	74.3
-74.4	74.4	97.685	74.4
-74.5	74.5	97.8163	74.5
-74.6	74.6	97.9476	74.6
-74.7	74.7	98.0789	74.7
-74.8	74.8	98.2102	74.8
-74.9	74.9	98.3415	74.9
-75.0	75.0	98.4728	75
-75.1	75.1	98.6041	75.1
-75.2	75.2	98.7354	75.2
-75.3	75.3	98.8667	75.3
-75.4	75.4	98.998	75.4
-75.5	75.5	99.1293	75.5
-75.6	75.6	99.2606	75.6
-75.7	75.7	99.3919	75.7
-75.8	75.8	99.5232	75.8
-75.9	75.9	99.6545	75.9
-76.0	76.0	99.7858	76
-76.1	76.1	99.9171	76.1
-76.2	76.2	100	76.2
-76.3	76.3	100	76.3
-76.4	76.4	100	76.4
-76.5	76.5	100	76.5
-76.6	76.6	100	76.6
-76.7	76.7	100	76.7
-76.8	76.8	100	76.8
-76.9	76.9	100	76.9
-77.0	77.0	100	77
-77.1	77.1	100	77.1
-77.2	77.2	100	77.2
-77.3	77.3	100	77.3
-77.4	77.4	100	77.4
-77.5	77.5	100	77.5
-77.6	77.6	100	77.6
-77.7	77.7	100	77.7
-77.8	77.8	100	77.8
-77.9	77.9	100	77.9
-78.0	78.0	100	78
-78.1	78.1	100	78.1
-78.2	78.2	100	78.2
-78.3	78.3	100	78.3
-78.4	78.4	100	78.4
-78.5	78.5	100	78.5
-78.6	78.6	100	78.6
-78.7	78.7	100	78.7
-78.8	78.8	100	78.8
-78.9	78.9	100	78.9
-79.0	79.0	100	79
-79.1	79.1	100	79.1
-79.2	79.2	100	79.2
-79.3	79.3	100	79.3
-79.4	79.4	100	79.4
-79.5	79.5	100	79.5
-79.6	79.6	100	79.6
-79.7	79.7	100	79.7
-79.8	79.8	100	79.8
-79.9	79.9	100	79.9
-80.0	80.0	100	80
-80.1	80.1	100	80.1
-80.2	80.2	100	80.2
-80.3	80.3	100	80.3
-80.4	80.4	100	80.4
-80.5	80.5	100	80.5
-80.6	80.6	100	80.6
-80.7	80.7	100	80.7
-80.8	80.8	100	80.8
-80.9	80.9	100	80.9
-81.0	81.0	100	81
-81.1	81.1	100	81.1
-81.2	81.2	100	81.2
-81.3	81.3	100	81.3
-81.4	81.4	100	81.4
-81.5	81.5	100	81.5
-81.6	81.6	100	81.6
-81.7	81.7	100	81.7
-81.8	81.8	100	81.8
-81.9	81.9	100	81.9
-82.0	82.0	100	82
-82.1	82.1	100	82.1
-82.2	82.2	100	82.2
-82.3	82.3	100	82.3
-82.4	82.4	100	82.4
-82.5	82.5	100	82.5
-82.6	82.6	100	82.6
-82.7	82.7	100	82.7
-82.8	82.8	100	82.8
-82.9	82.9	100	82.9
-83.0	83.0	100	83
-83.1	83.1	100	83.1
-83.2	83.2	100	83.2
-83.3	83.3	100	83.3
-83.4	83.4	100	83.4
-83.5	83.5	100	83.5
-83.6	83.6	100	83.6
-83.7	83.7	100	83.7
-83.8	83.8	100	83.8
-83.9	83.9	100	83.9
-84.0	84.0	100	84
-84.1	84.1	100	84.1
-84.2	84.2	100	84.2
-84.3	84.3	100	84.3
-84.4	84.4	100	84.4
-84.5	84.5	100	84.5
-84.6	84.6	100	84.6
-84.7	84.7	100	84.7
-84.8	84.8	100	84.8
-84.9	84.9	100	84.9
-85.0	85.0	100	85
-85.1	85.1	100	85.1
-85.2	85.2	100	85.2
-85.3	85.3	100	85.3
-85.4	85.4	100	85.4
-85.5	85.5	100	85.5
-85.6	85.6	100	85.6
-85.7	85.7	100	85.7
-85.8	85.8	100	85.8
-85.9	85.9	100	85.9
-86.0	86.0	100	86
-86.1	86.1	100	86.1
-86.2	86.2	100	86.2
-86.3	86.3	100	86.3
-86.4	86.4	100	86.4
-86.5	86.5	100	86.5
-86.6	86.6	100	86.6
-86.7	86.7	100	86.7
-86.8	86.8	100	86.8
-86.9	86.9	100	86.9
-87.0	87.0	100	87
-87.1	87.1	100	87.1
-87.2	87.2	100	87.2
-87.3	87.3	100	87.3
-87.4	87.4	100	87.4
-87.5	87.5	100	87.5
-87.6	87.6	100	87.6
-87.7	87.7	100	87.7
-87.8	87.8	100	87.8
-87.9	87.9	100	87.9
-88.0	88.0	100	88
-88.1	88.1	100	88.1
-88.2	88.2	100	88.2
-88.3	88.3	100	88.3
-88.4	88.4	100	88.4
-88.5	88.5	100	88.5
-88.6	88.6	100	88.6
-88.7	88.7	100	88.7
-88.8	88.8	100	88.8
-88.9	88.9	100	88.9
-89.0	89.0	100	89
-89.1	89.1	100	89.1
-89.2	89.2	100	89.2
-89.3	89.3	100	89.3
-89.4	89.4	100	89.4
-89.5	89.5	100	89.5
-89.6	89.6	100	89.6
-89.7	89.7	100	89.7
-89.8	89.8	100	89.8
-89.9	89.9	100	89.9
-90.0	90.0	100	90
-90.1	90.1	100	90.1
-90.2	90.2	100	90.2
-90.3	90.3	100	90.3
-90.4	90.4	100	90.4
-90.5	90.5	100	90.5
-90.6	90.6	100	90.6
-90.7	90.7	100	90.7
-90.8	90.8	100	90.8
-90.9	90.9	100	90.9
-91.0	91.0	100	91
-91.1	91.1	100	91.1
-91.2	91.2	100	91.2
-91.3	91.3	100	91.3
-91.4	91.4	100	91.4
-91.5	91.5	100	91.5
-91.6	91.6	100	91.6
-91.7	91.7	100	91.7
-91.8	91.8	100	91.8
-91.9	91.9	100	91.9
-92.0	92.0	100	92
-92.1	92.1	100	92.1
-92.2	92.2	100	92.2
-92.3	92.3	100	92.3
-92.4	92.4	100	92.4
-92.5	92.5	100	92.5
-92.6	92.6	100	92.6
-92.7	92.7	100	92.7
-92.8	92.8	100	92.8
-92.9	92.9	100	92.9
-93.0	93.0	100	93
-93.1	93.1	100	93.1
-93.2	93.2	100	93.2
-93.3	93.3	100	93.3
-93.4	93.4	100	93.4
-93.5	93.5	100	93.5
-93.6	93.6	100	93.6
-93.7	93.7	100	93.7
-93.8	93.8	100	93.8
-93.9	93.9	100	93.9
-94.0	94.0	100	94
-94.1	94.1	100	94.1
-94.2	94.2	100	94.2
-94.3	94.3	100	94.3
-94.4	94.4	100	94.4
-94.5	94.5	100	94.5
-94.6	94.6	100	94.6
-94.7	94.7	100	94.7
-94.8	94.8	100	94.8
-94.9	94.9	100	94.9
-95.0	95.0	100	95
-95.1	95.1	100	95.1
-95.2	95.2	100	95.2
-95.3	95.3	100	95.3
-95.4	95.4	100	95.4
-95.5	95.5	100	95.5
-95.6	95.6	100	95.6
-95.7	95.7	100	95.7
-95.8	95.8	100	95.8
-95.9	95.9	100	95.9
-96.0	96.0	100	96
-96.1	96.1	100	96.1
-96.2	96.2	100	96.2
-96.3	96.3	100	96.3
-96.4	96.4	100	96.4
-96.5	96.5	100	96.5
-96.6	96.6	100	96.6
-96.7	96.7	100	96.7
-96.8	96.8	100	96.8
-96.9	96.9	100	96.9
-97.0	97.0	100	97
-97.1	97.1	100	97.1
-97.2	97.2	100	97.2
-97.3	97.3	100	97.3
-97.4	97.4	100	97.4
-97.5	97.5	100	97.5
-97.6	97.6	100	97.6
-97.7	97.7	100	97.7
-97.8	97.8	100	97.8
-97.9	97.9	100	97.9
-98.0	98.0	100	98
-98.1	98.1	100	98.1
-98.2	98.2	100	98.2
-98.3	98.3	100	98.3
-98.4	98.4	100	98.4
-98.5	98.5	100	98.5
-98.6	98.6	100	98.6
-98.7	98.7	100	98.7
-98.8	98.8	100	98.8
-98.9	98.9	100	98.9
-99.0	99.0	100	99
-99.1	99.1	100	99.1
-99.2	99.2	100	99.2
-99.3	99.3	100	99.3
-99.4	99.4	100	99.4
-99.5	99.5	100	99.5
-99.6	99.6	100	99.6
-99.7	99.7	100	99.7
-99.8	99.8	100	99.8
-99.9	99.9	100	99.9
-100.0	100.0	100	100
-
-Lift curves	more
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.419519	0.1
-0.2	0.2	0.839038	0.2
-0.3	0.3	1.25856	0.3
-0.4	0.4	1.67808	0.4
-0.5	0.5	2.09759	0.5
-0.6	0.6	2.51711	0.6
-0.7	0.7	2.93663	0.7
-0.8	0.8	3.35615	0.8
-0.9	0.9	3.77567	0.9
-1.0	1.0	4.19519	1
-1.1	1.1	4.61471	1.1
-1.2	1.2	5.03423	1.2
-1.3	1.3	5.45374	1.3
-1.4	1.4	5.87326	1.4
-1.5	1.5	6.29278	1.5
-1.6	1.6	6.7123	1.6
-1.7	1.7	7.13182	1.7
-1.8	1.8	7.55134	1.8
-1.9	1.9	7.97086	1.9
-2.0	2.0	8.39038	2
-2.1	2.1	8.80989	2.1
-2.2	2.2	9.22941	2.2
-2.3	2.3	9.64893	2.3
-2.4	2.4	10.0685	2.4
-2.5	2.5	10.488	2.5
-2.6	2.6	10.9075	2.6
-2.7	2.7	11.327	2.7
-2.8	2.8	11.7465	2.8
-2.9	2.9	12.166	2.9
-3.0	3.0	12.5856	3
-3.1	3.1	13.0051	3.1
-3.2	3.2	13.4246	3.2
-3.3	3.3	13.8441	3.3
-3.4	3.4	14.2636	3.4
-3.5	3.5	14.6832	3.5
-3.6	3.6	15.1027	3.6
-3.7	3.7	15.5222	3.7
-3.8	3.8	15.9417	3.8
-3.9	3.9	16.3612	3.9
-4.0	4.0	16.7808	4
-4.1	4.1	17.2003	4.1
-4.2	4.2	17.6198	4.2
-4.3	4.3	18.0393	4.3
-4.4	4.4	18.4588	4.4
-4.5	4.5	18.8783	4.5
-4.6	4.6	19.2979	4.6
-4.7	4.7	19.7174	4.7
-4.8	4.8	20.1369	4.8
-4.9	4.9	20.5564	4.9
-5.0	5.0	20.9759	5
-5.1	5.1	21.3955	5.1
-5.2	5.2	21.815	5.2
-5.3	5.3	22.2345	5.3
-5.4	5.4	22.654	5.4
-5.5	5.5	23.0735	5.5
-5.6	5.6	23.4931	5.6
-5.7	5.7	23.9126	5.7
-5.8	5.8	24.3321	5.8
-5.9	5.9	24.7516	5.9
-6.0	6.0	25.1711	6
-6.1	6.1	25.5906	6.1
-6.2	6.2	26.0102	6.2
-6.3	6.3	26.4297	6.3
-6.4	6.4	26.8492	6.4
-6.5	6.5	27.2687	6.5
-6.6	6.6	27.6882	6.6
-6.7	6.7	28.1078	6.7
-6.8	6.8	28.5273	6.8
-6.9	6.9	28.9468	6.9
-7.0	7.0	29.3663	7
-7.1	7.1	29.7858	7.1
-7.2	7.2	30.2054	7.2
-7.3	7.3	30.6249	7.3
-7.4	7.4	31.0444	7.4
-7.5	7.5	31.4639	7.5
-7.6	7.6	31.8834	7.6
-7.7	7.7	32.3029	7.7
-7.8	7.8	32.7225	7.8
-7.9	7.9	33.142	7.9
-8.0	8.0	33.5615	8
-8.1	8.1	33.981	8.1
-8.2	8.2	34.4005	8.2
-8.3	8.3	34.8201	8.3
-8.4	8.4	35.2396	8.4
-8.5	8.5	35.6591	8.5
-8.6	8.6	36.0786	8.6
-8.7	8.7	36.4981	8.7
-8.8	8.8	36.9177	8.8
-8.9	8.9	37.3372	8.9
-9.0	9.0	37.7567	9
-9.1	9.1	38.1762	9.1
-9.2	9.2	38.5957	9.2
-9.3	9.3	39.0152	9.3
-9.4	9.4	39.4348	9.4
-9.5	9.5	39.8543	9.5
-9.6	9.6	40.2738	9.6
-9.7	9.7	40.6933	9.7
-9.8	9.8	41.1128	9.8
-9.9	9.9	41.5324	9.9
-10.0	10.0	41.9519	10
-10.1	10.1	42.3714	10.1
-10.2	10.2	42.7909	10.2
-10.3	10.3	43.2104	10.3
-10.4	10.4	43.63	10.4
-10.5	10.5	44.0495	10.5
-10.6	10.6	44.469	10.6
-10.7	10.7	44.8885	10.7
-10.8	10.8	45.308	10.8
-10.9	10.9	45.7275	10.9
-11.0	11.0	46.1471	11
-11.1	11.1	46.5666	11.1
-11.2	11.2	46.9861	11.2
-11.3	11.3	47.4056	11.3
-11.4	11.4	47.8251	11.4
-11.5	11.5	48.2447	11.5
-11.6	11.6	48.6642	11.6
-11.7	11.7	49.0837	11.7
-11.8	11.8	49.5032	11.8
-11.9	11.9	49.9227	11.9
-12.0	12.0	50.3423	12
-12.1	12.1	50.7618	12.1
-12.2	12.2	51.1813	12.2
-12.3	12.3	51.6008	12.3
-12.4	12.4	52.0203	12.4
-12.5	12.5	52.4398	12.5
-12.6	12.6	52.8594	12.6
-12.7	12.7	53.2789	12.7
-12.8	12.8	53.6984	12.8
-12.9	12.9	54.1179	12.9
-13.0	13.0	54.5374	13
-13.1	13.1	54.957	13.1
-13.2	13.2	55.3765	13.2
-13.3	13.3	55.796	13.3
-13.4	13.4	56.2155	13.4
-13.5	13.5	56.635	13.5
-13.6	13.6	57.0546	13.6
-13.7	13.7	57.4741	13.7
-13.8	13.8	57.8936	13.8
-13.9	13.9	58.3131	13.9
-14.0	14.0	58.7326	14
-14.1	14.1	59.1521	14.1
-14.2	14.2	59.5717	14.2
-14.3	14.3	59.9912	14.3
-14.4	14.4	60.4107	14.4
-14.5	14.5	60.8302	14.5
-14.6	14.6	61.2497	14.6
-14.7	14.7	61.6693	14.7
-14.8	14.8	62.0888	14.8
-14.9	14.9	62.5083	14.9
-15.0	15.0	62.9278	15
-15.1	15.1	63.3473	15.1
-15.2	15.2	63.7669	15.2
-15.3	15.3	64.1864	15.3
-15.4	15.4	64.6059	15.4
-15.5	15.5	65.0254	15.5
-15.6	15.6	65.4449	15.6
-15.7	15.7	65.8644	15.7
-15.8	15.8	66.284	15.8
-15.9	15.9	66.7035	15.9
-16.0	16.0	67.123	16
-16.1	16.1	67.5425	16.1
-16.2	16.2	67.962	16.2
-16.3	16.3	68.3816	16.3
-16.4	16.4	68.8011	16.4
-16.5	16.5	69.2206	16.5
-16.6	16.6	69.6401	16.6
-16.7	16.7	70.0596	16.7
-16.8	16.8	70.4792	16.8
-16.9	16.9	70.8987	16.9
-17.0	17.0	71.3182	17
-17.1	17.1	71.7377	17.1
-17.2	17.2	72.1572	17.2
-17.3	17.3	72.5767	17.3
-17.4	17.4	72.9963	17.4
-17.5	17.5	73.4158	17.5
-17.6	17.6	73.8353	17.6
-17.7	17.7	74.2548	17.7
-17.8	17.8	74.6743	17.8
-17.9	17.9	75.0939	17.9
-18.0	18.0	75.5134	18
-18.1	18.1	75.9329	18.1
-18.2	18.2	76.3524	18.2
-18.3	18.3	76.7719	18.3
-18.4	18.4	77.1915	18.4
-18.5	18.5	77.611	18.5
-18.6	18.6	78.0305	18.6
-18.7	18.7	78.45	18.7
-18.8	18.8	78.8695	18.8
-18.9	18.9	79.289	18.9
-19.0	19.0	79.7086	19
-19.1	19.1	80.1281	19.1
-19.2	19.2	80.5476	19.2
-19.3	19.3	80.9671	19.3
-19.4	19.4	81.3866	19.4
-19.5	19.5	81.8062	19.5
-19.6	19.6	82.2257	19.6
-19.7	19.7	82.6452	19.7
-19.8	19.8	83.0647	19.8
-19.9	19.9	83.4842	19.9
-20.0	20.0	83.9038	20
-20.1	20.1	84.3233	20.1
-20.2	20.2	84.7428	20.2
-20.3	20.3	85.1623	20.3
-20.4	20.4	85.5818	20.4
-20.5	20.5	86.0014	20.5
-20.6	20.6	86.4209	20.6
-20.7	20.7	86.8404	20.7
-20.8	20.8	87.2599	20.8
-20.9	20.9	87.6794	20.9
-21.0	21.0	88.0989	21
-21.1	21.1	88.5185	21.1
-21.2	21.2	88.938	21.2
-21.3	21.3	89.3575	21.3
-21.4	21.4	89.777	21.4
-21.5	21.5	90.1965	21.5
-21.6	21.6	90.6161	21.6
-21.7	21.7	91.0356	21.7
-21.8	21.8	91.4551	21.8
-21.9	21.9	91.8746	21.9
-22.0	22.0	92.2941	22
-22.1	22.1	92.7137	22.1
-22.2	22.2	93.1332	22.2
-22.3	22.3	93.5527	22.3
-22.4	22.4	93.9722	22.4
-22.5	22.5	94.3917	22.5
-22.6	22.6	94.8112	22.6
-22.7	22.7	95.2308	22.7
-22.8	22.8	95.6503	22.8
-22.9	22.9	96.0698	22.9
-23.0	23.0	96.4893	23
-23.1	23.1	96.9088	23.1
-23.2	23.2	97.3284	23.2
-23.3	23.3	97.7479	23.3
-23.4	23.4	98.1674	23.4
-23.5	23.5	98.5869	23.5
-23.6	23.6	99.0064	23.6
-23.7	23.7	99.426	23.7
-23.8	23.8	99.8455	23.8
-23.9	23.9	100	23.9
-24.0	24.0	100	24
-24.1	24.1	100	24.1
-24.2	24.2	100	24.2
-24.3	24.3	100	24.3
-24.4	24.4	100	24.4
-24.5	24.5	100	24.5
-24.6	24.6	100	24.6
-24.7	24.7	100	24.7
-24.8	24.8	100	24.8
-24.9	24.9	100	24.9
-25.0	25.0	100	25
-25.1	25.1	100	25.1
-25.2	25.2	100	25.2
-25.3	25.3	100	25.3
-25.4	25.4	100	25.4
-25.5	25.5	100	25.5
-25.6	25.6	100	25.6
-25.7	25.7	100	25.7
-25.8	25.8	100	25.8
-25.9	25.9	100	25.9
-26.0	26.0	100	26
-26.1	26.1	100	26.1
-26.2	26.2	100	26.2
-26.3	26.3	100	26.3
-26.4	26.4	100	26.4
-26.5	26.5	100	26.5
-26.6	26.6	100	26.6
-26.7	26.7	100	26.7
-26.8	26.8	100	26.8
-26.9	26.9	100	26.9
-27.0	27.0	100	27
-27.1	27.1	100	27.1
-27.2	27.2	100	27.2
-27.3	27.3	100	27.3
-27.4	27.4	100	27.4
-27.5	27.5	100	27.5
-27.6	27.6	100	27.6
-27.7	27.7	100	27.7
-27.8	27.8	100	27.8
-27.9	27.9	100	27.9
-28.0	28.0	100	28
-28.1	28.1	100	28.1
-28.2	28.2	100	28.2
-28.3	28.3	100	28.3
-28.4	28.4	100	28.4
-28.5	28.5	100	28.5
-28.6	28.6	100	28.6
-28.7	28.7	100	28.7
-28.8	28.8	100	28.8
-28.9	28.9	100	28.9
-29.0	29.0	100	29
-29.1	29.1	100	29.1
-29.2	29.2	100	29.2
-29.3	29.3	100	29.3
-29.4	29.4	100	29.4
-29.5	29.5	100	29.5
-29.6	29.6	100	29.6
-29.7	29.7	100	29.7
-29.8	29.8	100	29.8
-29.9	29.9	100	29.9
-30.0	30.0	100	30
-30.1	30.1	100	30.1
-30.2	30.2	100	30.2
-30.3	30.3	100	30.3
-30.4	30.4	100	30.4
-30.5	30.5	100	30.5
-30.6	30.6	100	30.6
-30.7	30.7	100	30.7
-30.8	30.8	100	30.8
-30.9	30.9	100	30.9
-31.0	31.0	100	31
-31.1	31.1	100	31.1
-31.2	31.2	100	31.2
-31.3	31.3	100	31.3
-31.4	31.4	100	31.4
-31.5	31.5	100	31.5
-31.6	31.6	100	31.6
-31.7	31.7	100	31.7
-31.8	31.8	100	31.8
-31.9	31.9	100	31.9
-32.0	32.0	100	32
-32.1	32.1	100	32.1
-32.2	32.2	100	32.2
-32.3	32.3	100	32.3
-32.4	32.4	100	32.4
-32.5	32.5	100	32.5
-32.6	32.6	100	32.6
-32.7	32.7	100	32.7
-32.8	32.8	100	32.8
-32.9	32.9	100	32.9
-33.0	33.0	100	33
-33.1	33.1	100	33.1
-33.2	33.2	100	33.2
-33.3	33.3	100	33.3
-33.4	33.4	100	33.4
-33.5	33.5	100	33.5
-33.6	33.6	100	33.6
-33.7	33.7	100	33.7
-33.8	33.8	100	33.8
-33.9	33.9	100	33.9
-34.0	34.0	100	34
-34.1	34.1	100	34.1
-34.2	34.2	100	34.2
-34.3	34.3	100	34.3
-34.4	34.4	100	34.4
-34.5	34.5	100	34.5
-34.6	34.6	100	34.6
-34.7	34.7	100	34.7
-34.8	34.8	100	34.8
-34.9	34.9	100	34.9
-35.0	35.0	100	35
-35.1	35.1	100	35.1
-35.2	35.2	100	35.2
-35.3	35.3	100	35.3
-35.4	35.4	100	35.4
-35.5	35.5	100	35.5
-35.6	35.6	100	35.6
-35.7	35.7	100	35.7
-35.8	35.8	100	35.8
-35.9	35.9	100	35.9
-36.0	36.0	100	36
-36.1	36.1	100	36.1
-36.2	36.2	100	36.2
-36.3	36.3	100	36.3
-36.4	36.4	100	36.4
-36.5	36.5	100	36.5
-36.6	36.6	100	36.6
-36.7	36.7	100	36.7
-36.8	36.8	100	36.8
-36.9	36.9	100	36.9
-37.0	37.0	100	37
-37.1	37.1	100	37.1
-37.2	37.2	100	37.2
-37.3	37.3	100	37.3
-37.4	37.4	100	37.4
-37.5	37.5	100	37.5
-37.6	37.6	100	37.6
-37.7	37.7	100	37.7
-37.8	37.8	100	37.8
-37.9	37.9	100	37.9
-38.0	38.0	100	38
-38.1	38.1	100	38.1
-38.2	38.2	100	38.2
-38.3	38.3	100	38.3
-38.4	38.4	100	38.4
-38.5	38.5	100	38.5
-38.6	38.6	100	38.6
-38.7	38.7	100	38.7
-38.8	38.8	100	38.8
-38.9	38.9	100	38.9
-39.0	39.0	100	39
-39.1	39.1	100	39.1
-39.2	39.2	100	39.2
-39.3	39.3	100	39.3
-39.4	39.4	100	39.4
-39.5	39.5	100	39.5
-39.6	39.6	100	39.6
-39.7	39.7	100	39.7
-39.8	39.8	100	39.8
-39.9	39.9	100	39.9
-40.0	40.0	100	40
-40.1	40.1	100	40.1
-40.2	40.2	100	40.2
-40.3	40.3	100	40.3
-40.4	40.4	100	40.4
-40.5	40.5	100	40.5
-40.6	40.6	100	40.6
-40.7	40.7	100	40.7
-40.8	40.8	100	40.8
-40.9	40.9	100	40.9
-41.0	41.0	100	41
-41.1	41.1	100	41.1
-41.2	41.2	100	41.2
-41.3	41.3	100	41.3
-41.4	41.4	100	41.4
-41.5	41.5	100	41.5
-41.6	41.6	100	41.6
-41.7	41.7	100	41.7
-41.8	41.8	100	41.8
-41.9	41.9	100	41.9
-42.0	42.0	100	42
-42.1	42.1	100	42.1
-42.2	42.2	100	42.2
-42.3	42.3	100	42.3
-42.4	42.4	100	42.4
-42.5	42.5	100	42.5
-42.6	42.6	100	42.6
-42.7	42.7	100	42.7
-42.8	42.8	100	42.8
-42.9	42.9	100	42.9
-43.0	43.0	100	43
-43.1	43.1	100	43.1
-43.2	43.2	100	43.2
-43.3	43.3	100	43.3
-43.4	43.4	100	43.4
-43.5	43.5	100	43.5
-43.6	43.6	100	43.6
-43.7	43.7	100	43.7
-43.8	43.8	100	43.8
-43.9	43.9	100	43.9
-44.0	44.0	100	44
-44.1	44.1	100	44.1
-44.2	44.2	100	44.2
-44.3	44.3	100	44.3
-44.4	44.4	100	44.4
-44.5	44.5	100	44.5
-44.6	44.6	100	44.6
-44.7	44.7	100	44.7
-44.8	44.8	100	44.8
-44.9	44.9	100	44.9
-45.0	45.0	100	45
-45.1	45.1	100	45.1
-45.2	45.2	100	45.2
-45.3	45.3	100	45.3
-45.4	45.4	100	45.4
-45.5	45.5	100	45.5
-45.6	45.6	100	45.6
-45.7	45.7	100	45.7
-45.8	45.8	100	45.8
-45.9	45.9	100	45.9
-46.0	46.0	100	46
-46.1	46.1	100	46.1
-46.2	46.2	100	46.2
-46.3	46.3	100	46.3
-46.4	46.4	100	46.4
-46.5	46.5	100	46.5
-46.6	46.6	100	46.6
-46.7	46.7	100	46.7
-46.8	46.8	100	46.8
-46.9	46.9	100	46.9
-47.0	47.0	100	47
-47.1	47.1	100	47.1
-47.2	47.2	100	47.2
-47.3	47.3	100	47.3
-47.4	47.4	100	47.4
-47.5	47.5	100	47.5
-47.6	47.6	100	47.6
-47.7	47.7	100	47.7
-47.8	47.8	100	47.8
-47.9	47.9	100	47.9
-48.0	48.0	100	48
-48.1	48.1	100	48.1
-48.2	48.2	100	48.2
-48.3	48.3	100	48.3
-48.4	48.4	100	48.4
-48.5	48.5	100	48.5
-48.6	48.6	100	48.6
-48.7	48.7	100	48.7
-48.8	48.8	100	48.8
-48.9	48.9	100	48.9
-49.0	49.0	100	49
-49.1	49.1	100	49.1
-49.2	49.2	100	49.2
-49.3	49.3	100	49.3
-49.4	49.4	100	49.4
-49.5	49.5	100	49.5
-49.6	49.6	100	49.6
-49.7	49.7	100	49.7
-49.8	49.8	100	49.8
-49.9	49.9	100	49.9
-50.0	50.0	100	50
-50.1	50.1	100	50.1
-50.2	50.2	100	50.2
-50.3	50.3	100	50.3
-50.4	50.4	100	50.4
-50.5	50.5	100	50.5
-50.6	50.6	100	50.6
-50.7	50.7	100	50.7
-50.8	50.8	100	50.8
-50.9	50.9	100	50.9
-51.0	51.0	100	51
-51.1	51.1	100	51.1
-51.2	51.2	100	51.2
-51.3	51.3	100	51.3
-51.4	51.4	100	51.4
-51.5	51.5	100	51.5
-51.6	51.6	100	51.6
-51.7	51.7	100	51.7
-51.8	51.8	100	51.8
-51.9	51.9	100	51.9
-52.0	52.0	100	52
-52.1	52.1	100	52.1
-52.2	52.2	100	52.2
-52.3	52.3	100	52.3
-52.4	52.4	100	52.4
-52.5	52.5	100	52.5
-52.6	52.6	100	52.6
-52.7	52.7	100	52.7
-52.8	52.8	100	52.8
-52.9	52.9	100	52.9
-53.0	53.0	100	53
-53.1	53.1	100	53.1
-53.2	53.2	100	53.2
-53.3	53.3	100	53.3
-53.4	53.4	100	53.4
-53.5	53.5	100	53.5
-53.6	53.6	100	53.6
-53.7	53.7	100	53.7
-53.8	53.8	100	53.8
-53.9	53.9	100	53.9
-54.0	54.0	100	54
-54.1	54.1	100	54.1
-54.2	54.2	100	54.2
-54.3	54.3	100	54.3
-54.4	54.4	100	54.4
-54.5	54.5	100	54.5
-54.6	54.6	100	54.6
-54.7	54.7	100	54.7
-54.8	54.8	100	54.8
-54.9	54.9	100	54.9
-55.0	55.0	100	55
-55.1	55.1	100	55.1
-55.2	55.2	100	55.2
-55.3	55.3	100	55.3
-55.4	55.4	100	55.4
-55.5	55.5	100	55.5
-55.6	55.6	100	55.6
-55.7	55.7	100	55.7
-55.8	55.8	100	55.8
-55.9	55.9	100	55.9
-56.0	56.0	100	56
-56.1	56.1	100	56.1
-56.2	56.2	100	56.2
-56.3	56.3	100	56.3
-56.4	56.4	100	56.4
-56.5	56.5	100	56.5
-56.6	56.6	100	56.6
-56.7	56.7	100	56.7
-56.8	56.8	100	56.8
-56.9	56.9	100	56.9
-57.0	57.0	100	57
-57.1	57.1	100	57.1
-57.2	57.2	100	57.2
-57.3	57.3	100	57.3
-57.4	57.4	100	57.4
-57.5	57.5	100	57.5
-57.6	57.6	100	57.6
-57.7	57.7	100	57.7
-57.8	57.8	100	57.8
-57.9	57.9	100	57.9
-58.0	58.0	100	58
-58.1	58.1	100	58.1
-58.2	58.2	100	58.2
-58.3	58.3	100	58.3
-58.4	58.4	100	58.4
-58.5	58.5	100	58.5
-58.6	58.6	100	58.6
-58.7	58.7	100	58.7
-58.8	58.8	100	58.8
-58.9	58.9	100	58.9
-59.0	59.0	100	59
-59.1	59.1	100	59.1
-59.2	59.2	100	59.2
-59.3	59.3	100	59.3
-59.4	59.4	100	59.4
-59.5	59.5	100	59.5
-59.6	59.6	100	59.6
-59.7	59.7	100	59.7
-59.8	59.8	100	59.8
-59.9	59.9	100	59.9
-60.0	60.0	100	60
-60.1	60.1	100	60.1
-60.2	60.2	100	60.2
-60.3	60.3	100	60.3
-60.4	60.4	100	60.4
-60.5	60.5	100	60.5
-60.6	60.6	100	60.6
-60.7	60.7	100	60.7
-60.8	60.8	100	60.8
-60.9	60.9	100	60.9
-61.0	61.0	100	61
-61.1	61.1	100	61.1
-61.2	61.2	100	61.2
-61.3	61.3	100	61.3
-61.4	61.4	100	61.4
-61.5	61.5	100	61.5
-61.6	61.6	100	61.6
-61.7	61.7	100	61.7
-61.8	61.8	100	61.8
-61.9	61.9	100	61.9
-62.0	62.0	100	62
-62.1	62.1	100	62.1
-62.2	62.2	100	62.2
-62.3	62.3	100	62.3
-62.4	62.4	100	62.4
-62.5	62.5	100	62.5
-62.6	62.6	100	62.6
-62.7	62.7	100	62.7
-62.8	62.8	100	62.8
-62.9	62.9	100	62.9
-63.0	63.0	100	63
-63.1	63.1	100	63.1
-63.2	63.2	100	63.2
-63.3	63.3	100	63.3
-63.4	63.4	100	63.4
-63.5	63.5	100	63.5
-63.6	63.6	100	63.6
-63.7	63.7	100	63.7
-63.8	63.8	100	63.8
-63.9	63.9	100	63.9
-64.0	64.0	100	64
-64.1	64.1	100	64.1
-64.2	64.2	100	64.2
-64.3	64.3	100	64.3
-64.4	64.4	100	64.4
-64.5	64.5	100	64.5
-64.6	64.6	100	64.6
-64.7	64.7	100	64.7
-64.8	64.8	100	64.8
-64.9	64.9	100	64.9
-65.0	65.0	100	65
-65.1	65.1	100	65.1
-65.2	65.2	100	65.2
-65.3	65.3	100	65.3
-65.4	65.4	100	65.4
-65.5	65.5	100	65.5
-65.6	65.6	100	65.6
-65.7	65.7	100	65.7
-65.8	65.8	100	65.8
-65.9	65.9	100	65.9
-66.0	66.0	100	66
-66.1	66.1	100	66.1
-66.2	66.2	100	66.2
-66.3	66.3	100	66.3
-66.4	66.4	100	66.4
-66.5	66.5	100	66.5
-66.6	66.6	100	66.6
-66.7	66.7	100	66.7
-66.8	66.8	100	66.8
-66.9	66.9	100	66.9
-67.0	67.0	100	67
-67.1	67.1	100	67.1
-67.2	67.2	100	67.2
-67.3	67.3	100	67.3
-67.4	67.4	100	67.4
-67.5	67.5	100	67.5
-67.6	67.6	100	67.6
-67.7	67.7	100	67.7
-67.8	67.8	100	67.8
-67.9	67.9	100	67.9
-68.0	68.0	100	68
-68.1	68.1	100	68.1
-68.2	68.2	100	68.2
-68.3	68.3	100	68.3
-68.4	68.4	100	68.4
-68.5	68.5	100	68.5
-68.6	68.6	100	68.6
-68.7	68.7	100	68.7
-68.8	68.8	100	68.8
-68.9	68.9	100	68.9
-69.0	69.0	100	69
-69.1	69.1	100	69.1
-69.2	69.2	100	69.2
-69.3	69.3	100	69.3
-69.4	69.4	100	69.4
-69.5	69.5	100	69.5
-69.6	69.6	100	69.6
-69.7	69.7	100	69.7
-69.8	69.8	100	69.8
-69.9	69.9	100	69.9
-70.0	70.0	100	70
-70.1	70.1	100	70.1
-70.2	70.2	100	70.2
-70.3	70.3	100	70.3
-70.4	70.4	100	70.4
-70.5	70.5	100	70.5
-70.6	70.6	100	70.6
-70.7	70.7	100	70.7
-70.8	70.8	100	70.8
-70.9	70.9	100	70.9
-71.0	71.0	100	71
-71.1	71.1	100	71.1
-71.2	71.2	100	71.2
-71.3	71.3	100	71.3
-71.4	71.4	100	71.4
-71.5	71.5	100	71.5
-71.6	71.6	100	71.6
-71.7	71.7	100	71.7
-71.8	71.8	100	71.8
-71.9	71.9	100	71.9
-72.0	72.0	100	72
-72.1	72.1	100	72.1
-72.2	72.2	100	72.2
-72.3	72.3	100	72.3
-72.4	72.4	100	72.4
-72.5	72.5	100	72.5
-72.6	72.6	100	72.6
-72.7	72.7	100	72.7
-72.8	72.8	100	72.8
-72.9	72.9	100	72.9
-73.0	73.0	100	73
-73.1	73.1	100	73.1
-73.2	73.2	100	73.2
-73.3	73.3	100	73.3
-73.4	73.4	100	73.4
-73.5	73.5	100	73.5
-73.6	73.6	100	73.6
-73.7	73.7	100	73.7
-73.8	73.8	100	73.8
-73.9	73.9	100	73.9
-74.0	74.0	100	74
-74.1	74.1	100	74.1
-74.2	74.2	100	74.2
-74.3	74.3	100	74.3
-74.4	74.4	100	74.4
-74.5	74.5	100	74.5
-74.6	74.6	100	74.6
-74.7	74.7	100	74.7
-74.8	74.8	100	74.8
-74.9	74.9	100	74.9
-75.0	75.0	100	75
-75.1	75.1	100	75.1
-75.2	75.2	100	75.2
-75.3	75.3	100	75.3
-75.4	75.4	100	75.4
-75.5	75.5	100	75.5
-75.6	75.6	100	75.6
-75.7	75.7	100	75.7
-75.8	75.8	100	75.8
-75.9	75.9	100	75.9
-76.0	76.0	100	76
-76.1	76.1	100	76.1
-76.2	76.2	100	76.2
-76.3	76.3	100	76.3
-76.4	76.4	100	76.4
-76.5	76.5	100	76.5
-76.6	76.6	100	76.6
-76.7	76.7	100	76.7
-76.8	76.8	100	76.8
-76.9	76.9	100	76.9
-77.0	77.0	100	77
-77.1	77.1	100	77.1
-77.2	77.2	100	77.2
-77.3	77.3	100	77.3
-77.4	77.4	100	77.4
-77.5	77.5	100	77.5
-77.6	77.6	100	77.6
-77.7	77.7	100	77.7
-77.8	77.8	100	77.8
-77.9	77.9	100	77.9
-78.0	78.0	100	78
-78.1	78.1	100	78.1
-78.2	78.2	100	78.2
-78.3	78.3	100	78.3
-78.4	78.4	100	78.4
-78.5	78.5	100	78.5
-78.6	78.6	100	78.6
-78.7	78.7	100	78.7
-78.8	78.8	100	78.8
-78.9	78.9	100	78.9
-79.0	79.0	100	79
-79.1	79.1	100	79.1
-79.2	79.2	100	79.2
-79.3	79.3	100	79.3
-79.4	79.4	100	79.4
-79.5	79.5	100	79.5
-79.6	79.6	100	79.6
-79.7	79.7	100	79.7
-79.8	79.8	100	79.8
-79.9	79.9	100	79.9
-80.0	80.0	100	80
-80.1	80.1	100	80.1
-80.2	80.2	100	80.2
-80.3	80.3	100	80.3
-80.4	80.4	100	80.4
-80.5	80.5	100	80.5
-80.6	80.6	100	80.6
-80.7	80.7	100	80.7
-80.8	80.8	100	80.8
-80.9	80.9	100	80.9
-81.0	81.0	100	81
-81.1	81.1	100	81.1
-81.2	81.2	100	81.2
-81.3	81.3	100	81.3
-81.4	81.4	100	81.4
-81.5	81.5	100	81.5
-81.6	81.6	100	81.6
-81.7	81.7	100	81.7
-81.8	81.8	100	81.8
-81.9	81.9	100	81.9
-82.0	82.0	100	82
-82.1	82.1	100	82.1
-82.2	82.2	100	82.2
-82.3	82.3	100	82.3
-82.4	82.4	100	82.4
-82.5	82.5	100	82.5
-82.6	82.6	100	82.6
-82.7	82.7	100	82.7
-82.8	82.8	100	82.8
-82.9	82.9	100	82.9
-83.0	83.0	100	83
-83.1	83.1	100	83.1
-83.2	83.2	100	83.2
-83.3	83.3	100	83.3
-83.4	83.4	100	83.4
-83.5	83.5	100	83.5
-83.6	83.6	100	83.6
-83.7	83.7	100	83.7
-83.8	83.8	100	83.8
-83.9	83.9	100	83.9
-84.0	84.0	100	84
-84.1	84.1	100	84.1
-84.2	84.2	100	84.2
-84.3	84.3	100	84.3
-84.4	84.4	100	84.4
-84.5	84.5	100	84.5
-84.6	84.6	100	84.6
-84.7	84.7	100	84.7
-84.8	84.8	100	84.8
-84.9	84.9	100	84.9
-85.0	85.0	100	85
-85.1	85.1	100	85.1
-85.2	85.2	100	85.2
-85.3	85.3	100	85.3
-85.4	85.4	100	85.4
-85.5	85.5	100	85.5
-85.6	85.6	100	85.6
-85.7	85.7	100	85.7
-85.8	85.8	100	85.8
-85.9	85.9	100	85.9
-86.0	86.0	100	86
-86.1	86.1	100	86.1
-86.2	86.2	100	86.2
-86.3	86.3	100	86.3
-86.4	86.4	100	86.4
-86.5	86.5	100	86.5
-86.6	86.6	100	86.6
-86.7	86.7	100	86.7
-86.8	86.8	100	86.8
-86.9	86.9	100	86.9
-87.0	87.0	100	87
-87.1	87.1	100	87.1
-87.2	87.2	100	87.2
-87.3	87.3	100	87.3
-87.4	87.4	100	87.4
-87.5	87.5	100	87.5
-87.6	87.6	100	87.6
-87.7	87.7	100	87.7
-87.8	87.8	100	87.8
-87.9	87.9	100	87.9
-88.0	88.0	100	88
-88.1	88.1	100	88.1
-88.2	88.2	100	88.2
-88.3	88.3	100	88.3
-88.4	88.4	100	88.4
-88.5	88.5	100	88.5
-88.6	88.6	100	88.6
-88.7	88.7	100	88.7
-88.8	88.8	100	88.8
-88.9	88.9	100	88.9
-89.0	89.0	100	89
-89.1	89.1	100	89.1
-89.2	89.2	100	89.2
-89.3	89.3	100	89.3
-89.4	89.4	100	89.4
-89.5	89.5	100	89.5
-89.6	89.6	100	89.6
-89.7	89.7	100	89.7
-89.8	89.8	100	89.8
-89.9	89.9	100	89.9
-90.0	90.0	100	90
-90.1	90.1	100	90.1
-90.2	90.2	100	90.2
-90.3	90.3	100	90.3
-90.4	90.4	100	90.4
-90.5	90.5	100	90.5
-90.6	90.6	100	90.6
-90.7	90.7	100	90.7
-90.8	90.8	100	90.8
-90.9	90.9	100	90.9
-91.0	91.0	100	91
-91.1	91.1	100	91.1
-91.2	91.2	100	91.2
-91.3	91.3	100	91.3
-91.4	91.4	100	91.4
-91.5	91.5	100	91.5
-91.6	91.6	100	91.6
-91.7	91.7	100	91.7
-91.8	91.8	100	91.8
-91.9	91.9	100	91.9
-92.0	92.0	100	92
-92.1	92.1	100	92.1
-92.2	92.2	100	92.2
-92.3	92.3	100	92.3
-92.4	92.4	100	92.4
-92.5	92.5	100	92.5
-92.6	92.6	100	92.6
-92.7	92.7	100	92.7
-92.8	92.8	100	92.8
-92.9	92.9	100	92.9
-93.0	93.0	100	93
-93.1	93.1	100	93.1
-93.2	93.2	100	93.2
-93.3	93.3	100	93.3
-93.4	93.4	100	93.4
-93.5	93.5	100	93.5
-93.6	93.6	100	93.6
-93.7	93.7	100	93.7
-93.8	93.8	100	93.8
-93.9	93.9	100	93.9
-94.0	94.0	100	94
-94.1	94.1	100	94.1
-94.2	94.2	100	94.2
-94.3	94.3	100	94.3
-94.4	94.4	100	94.4
-94.5	94.5	100	94.5
-94.6	94.6	100	94.6
-94.7	94.7	100	94.7
-94.8	94.8	100	94.8
-94.9	94.9	100	94.9
-95.0	95.0	100	95
-95.1	95.1	100	95.1
-95.2	95.2	100	95.2
-95.3	95.3	100	95.3
-95.4	95.4	100	95.4
-95.5	95.5	100	95.5
-95.6	95.6	100	95.6
-95.7	95.7	100	95.7
-95.8	95.8	100	95.8
-95.9	95.9	100	95.9
-96.0	96.0	100	96
-96.1	96.1	100	96.1
-96.2	96.2	100	96.2
-96.3	96.3	100	96.3
-96.4	96.4	100	96.4
-96.5	96.5	100	96.5
-96.6	96.6	100	96.6
-96.7	96.7	100	96.7
-96.8	96.8	100	96.8
-96.9	96.9	100	96.9
-97.0	97.0	100	97
-97.1	97.1	100	97.1
-97.2	97.2	100	97.2
-97.3	97.3	100	97.3
-97.4	97.4	100	97.4
-97.5	97.5	100	97.5
-97.6	97.6	100	97.6
-97.7	97.7	100	97.7
-97.8	97.8	100	97.8
-97.9	97.9	100	97.9
-98.0	98.0	100	98
-98.1	98.1	100	98.1
-98.2	98.2	100	98.2
-98.3	98.3	100	98.3
-98.4	98.4	100	98.4
-98.5	98.5	100	98.5
-98.6	98.6	100	98.6
-98.7	98.7	100	98.7
-98.8	98.8	100	98.8
-98.9	98.9	100	98.9
-99.0	99.0	100	99
-99.1	99.1	100	99.1
-99.2	99.2	100	99.2
-99.3	99.3	100	99.3
-99.4	99.4	100	99.4
-99.5	99.5	100	99.5
-99.6	99.6	100	99.6
-99.7	99.7	100	99.7
-99.8	99.8	100	99.8
-99.9	99.9	100	99.9
-100.0	100.0	100	100
-
-
-Report	Evaluation	Test
-
-Dictionary	Adult
-Database	C:\Applications\khiops\samples\Adult\Adult.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	14668
-Learning task	Classification analysis
-Target variable	class
-
-Predictors performance
-Rank	Type	Family	Name	Accuracy	Compression	AUC
-R1	Classifier	Selective Naive Bayes	Selective Naive Bayes	0.75859	-4.58469e-05	0.5
-
-Predictors detailed performance
-
-Rank	R1
-
-Confusion matrix
-	less	more
-$less	11127	3541
-$more	0	0
-
-Lift curves	less
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.131823	0.1
-0.2	0.2	0.263647	0.2
-0.3	0.3	0.39547	0.3
-0.4	0.4	0.527294	0.4
-0.5	0.5	0.659117	0.5
-0.6	0.6	0.790941	0.6
-0.7	0.7	0.922764	0.7
-0.8	0.8	1.05459	0.8
-0.9	0.9	1.18641	0.9
-1.0	1.0	1.31823	1
-1.1	1.1	1.45006	1.1
-1.2	1.2	1.58188	1.2
-1.3	1.3	1.71371	1.3
-1.4	1.4	1.84553	1.4
-1.5	1.5	1.97735	1.5
-1.6	1.6	2.10918	1.6
-1.7	1.7	2.241	1.7
-1.8	1.8	2.37282	1.8
-1.9	1.9	2.50465	1.9
-2.0	2.0	2.63647	2
-2.1	2.1	2.76829	2.1
-2.2	2.2	2.90012	2.2
-2.3	2.3	3.03194	2.3
-2.4	2.4	3.16376	2.4
-2.5	2.5	3.29559	2.5
-2.6	2.6	3.42741	2.6
-2.7	2.7	3.55923	2.7
-2.8	2.8	3.69106	2.8
-2.9	2.9	3.82288	2.9
-3.0	3.0	3.9547	3
-3.1	3.1	4.08653	3.1
-3.2	3.2	4.21835	3.2
-3.3	3.3	4.35018	3.3
-3.4	3.4	4.482	3.4
-3.5	3.5	4.61382	3.5
-3.6	3.6	4.74565	3.6
-3.7	3.7	4.87747	3.7
-3.8	3.8	5.00929	3.8
-3.9	3.9	5.14112	3.9
-4.0	4.0	5.27294	4
-4.1	4.1	5.40476	4.1
-4.2	4.2	5.53659	4.2
-4.3	4.3	5.66841	4.3
-4.4	4.4	5.80023	4.4
-4.5	4.5	5.93206	4.5
-4.6	4.6	6.06388	4.6
-4.7	4.7	6.1957	4.7
-4.8	4.8	6.32753	4.8
-4.9	4.9	6.45935	4.9
-5.0	5.0	6.59117	5
-5.1	5.1	6.723	5.1
-5.2	5.2	6.85482	5.2
-5.3	5.3	6.98665	5.3
-5.4	5.4	7.11847	5.4
-5.5	5.5	7.25029	5.5
-5.6	5.6	7.38212	5.6
-5.7	5.7	7.51394	5.7
-5.8	5.8	7.64576	5.8
-5.9	5.9	7.77759	5.9
-6.0	6.0	7.90941	6
-6.1	6.1	8.04123	6.1
-6.2	6.2	8.17306	6.2
-6.3	6.3	8.30488	6.3
-6.4	6.4	8.4367	6.4
-6.5	6.5	8.56853	6.5
-6.6	6.6	8.70035	6.6
-6.7	6.7	8.83217	6.7
-6.8	6.8	8.964	6.8
-6.9	6.9	9.09582	6.9
-7.0	7.0	9.22764	7
-7.1	7.1	9.35947	7.1
-7.2	7.2	9.49129	7.2
-7.3	7.3	9.62311	7.3
-7.4	7.4	9.75494	7.4
-7.5	7.5	9.88676	7.5
-7.6	7.6	10.0186	7.6
-7.7	7.7	10.1504	7.7
-7.8	7.8	10.2822	7.8
-7.9	7.9	10.4141	7.9
-8.0	8.0	10.5459	8
-8.1	8.1	10.6777	8.1
-8.2	8.2	10.8095	8.2
-8.3	8.3	10.9413	8.3
-8.4	8.4	11.0732	8.4
-8.5	8.5	11.205	8.5
-8.6	8.6	11.3368	8.6
-8.7	8.7	11.4686	8.7
-8.8	8.8	11.6005	8.8
-8.9	8.9	11.7323	8.9
-9.0	9.0	11.8641	9
-9.1	9.1	11.9959	9.1
-9.2	9.2	12.1278	9.2
-9.3	9.3	12.2596	9.3
-9.4	9.4	12.3914	9.4
-9.5	9.5	12.5232	9.5
-9.6	9.6	12.6551	9.6
-9.7	9.7	12.7869	9.7
-9.8	9.8	12.9187	9.8
-9.9	9.9	13.0505	9.9
-10.0	10.0	13.1823	10
-10.1	10.1	13.3142	10.1
-10.2	10.2	13.446	10.2
-10.3	10.3	13.5778	10.3
-10.4	10.4	13.7096	10.4
-10.5	10.5	13.8415	10.5
-10.6	10.6	13.9733	10.6
-10.7	10.7	14.1051	10.7
-10.8	10.8	14.2369	10.8
-10.9	10.9	14.3688	10.9
-11.0	11.0	14.5006	11
-11.1	11.1	14.6324	11.1
-11.2	11.2	14.7642	11.2
-11.3	11.3	14.8961	11.3
-11.4	11.4	15.0279	11.4
-11.5	11.5	15.1597	11.5
-11.6	11.6	15.2915	11.6
-11.7	11.7	15.4233	11.7
-11.8	11.8	15.5552	11.8
-11.9	11.9	15.687	11.9
-12.0	12.0	15.8188	12
-12.1	12.1	15.9506	12.1
-12.2	12.2	16.0825	12.2
-12.3	12.3	16.2143	12.3
-12.4	12.4	16.3461	12.4
-12.5	12.5	16.4779	12.5
-12.6	12.6	16.6098	12.6
-12.7	12.7	16.7416	12.7
-12.8	12.8	16.8734	12.8
-12.9	12.9	17.0052	12.9
-13.0	13.0	17.1371	13
-13.1	13.1	17.2689	13.1
-13.2	13.2	17.4007	13.2
-13.3	13.3	17.5325	13.3
-13.4	13.4	17.6643	13.4
-13.5	13.5	17.7962	13.5
-13.6	13.6	17.928	13.6
-13.7	13.7	18.0598	13.7
-13.8	13.8	18.1916	13.8
-13.9	13.9	18.3235	13.9
-14.0	14.0	18.4553	14
-14.1	14.1	18.5871	14.1
-14.2	14.2	18.7189	14.2
-14.3	14.3	18.8508	14.3
-14.4	14.4	18.9826	14.4
-14.5	14.5	19.1144	14.5
-14.6	14.6	19.2462	14.6
-14.7	14.7	19.3781	14.7
-14.8	14.8	19.5099	14.8
-14.9	14.9	19.6417	14.9
-15.0	15.0	19.7735	15
-15.1	15.1	19.9053	15.1
-15.2	15.2	20.0372	15.2
-15.3	15.3	20.169	15.3
-15.4	15.4	20.3008	15.4
-15.5	15.5	20.4326	15.5
-15.6	15.6	20.5645	15.6
-15.7	15.7	20.6963	15.7
-15.8	15.8	20.8281	15.8
-15.9	15.9	20.9599	15.9
-16.0	16.0	21.0918	16
-16.1	16.1	21.2236	16.1
-16.2	16.2	21.3554	16.2
-16.3	16.3	21.4872	16.3
-16.4	16.4	21.6191	16.4
-16.5	16.5	21.7509	16.5
-16.6	16.6	21.8827	16.6
-16.7	16.7	22.0145	16.7
-16.8	16.8	22.1463	16.8
-16.9	16.9	22.2782	16.9
-17.0	17.0	22.41	17
-17.1	17.1	22.5418	17.1
-17.2	17.2	22.6736	17.2
-17.3	17.3	22.8055	17.3
-17.4	17.4	22.9373	17.4
-17.5	17.5	23.0691	17.5
-17.6	17.6	23.2009	17.6
-17.7	17.7	23.3328	17.7
-17.8	17.8	23.4646	17.8
-17.9	17.9	23.5964	17.9
-18.0	18.0	23.7282	18
-18.1	18.1	23.8601	18.1
-18.2	18.2	23.9919	18.2
-18.3	18.3	24.1237	18.3
-18.4	18.4	24.2555	18.4
-18.5	18.5	24.3873	18.5
-18.6	18.6	24.5192	18.6
-18.7	18.7	24.651	18.7
-18.8	18.8	24.7828	18.8
-18.9	18.9	24.9146	18.9
-19.0	19.0	25.0465	19
-19.1	19.1	25.1783	19.1
-19.2	19.2	25.3101	19.2
-19.3	19.3	25.4419	19.3
-19.4	19.4	25.5738	19.4
-19.5	19.5	25.7056	19.5
-19.6	19.6	25.8374	19.6
-19.7	19.7	25.9692	19.7
-19.8	19.8	26.1011	19.8
-19.9	19.9	26.2329	19.9
-20.0	20.0	26.3647	20
-20.1	20.1	26.4965	20.1
-20.2	20.2	26.6283	20.2
-20.3	20.3	26.7602	20.3
-20.4	20.4	26.892	20.4
-20.5	20.5	27.0238	20.5
-20.6	20.6	27.1556	20.6
-20.7	20.7	27.2875	20.7
-20.8	20.8	27.4193	20.8
-20.9	20.9	27.5511	20.9
-21.0	21.0	27.6829	21
-21.1	21.1	27.8148	21.1
-21.2	21.2	27.9466	21.2
-21.3	21.3	28.0784	21.3
-21.4	21.4	28.2102	21.4
-21.5	21.5	28.3421	21.5
-21.6	21.6	28.4739	21.6
-21.7	21.7	28.6057	21.7
-21.8	21.8	28.7375	21.8
-21.9	21.9	28.8693	21.9
-22.0	22.0	29.0012	22
-22.1	22.1	29.133	22.1
-22.2	22.2	29.2648	22.2
-22.3	22.3	29.3966	22.3
-22.4	22.4	29.5285	22.4
-22.5	22.5	29.6603	22.5
-22.6	22.6	29.7921	22.6
-22.7	22.7	29.9239	22.7
-22.8	22.8	30.0558	22.8
-22.9	22.9	30.1876	22.9
-23.0	23.0	30.3194	23
-23.1	23.1	30.4512	23.1
-23.2	23.2	30.5831	23.2
-23.3	23.3	30.7149	23.3
-23.4	23.4	30.8467	23.4
-23.5	23.5	30.9785	23.5
-23.6	23.6	31.1103	23.6
-23.7	23.7	31.2422	23.7
-23.8	23.8	31.374	23.8
-23.9	23.9	31.5058	23.9
-24.0	24.0	31.6376	24
-24.1	24.1	31.7695	24.1
-24.2	24.2	31.9013	24.2
-24.3	24.3	32.0331	24.3
-24.4	24.4	32.1649	24.4
-24.5	24.5	32.2968	24.5
-24.6	24.6	32.4286	24.6
-24.7	24.7	32.5604	24.7
-24.8	24.8	32.6922	24.8
-24.9	24.9	32.824	24.9
-25.0	25.0	32.9559	25
-25.1	25.1	33.0877	25.1
-25.2	25.2	33.2195	25.2
-25.3	25.3	33.3513	25.3
-25.4	25.4	33.4832	25.4
-25.5	25.5	33.615	25.5
-25.6	25.6	33.7468	25.6
-25.7	25.7	33.8786	25.7
-25.8	25.8	34.0105	25.8
-25.9	25.9	34.1423	25.9
-26.0	26.0	34.2741	26
-26.1	26.1	34.4059	26.1
-26.2	26.2	34.5378	26.2
-26.3	26.3	34.6696	26.3
-26.4	26.4	34.8014	26.4
-26.5	26.5	34.9332	26.5
-26.6	26.6	35.065	26.6
-26.7	26.7	35.1969	26.7
-26.8	26.8	35.3287	26.8
-26.9	26.9	35.4605	26.9
-27.0	27.0	35.5923	27
-27.1	27.1	35.7242	27.1
-27.2	27.2	35.856	27.2
-27.3	27.3	35.9878	27.3
-27.4	27.4	36.1196	27.4
-27.5	27.5	36.2515	27.5
-27.6	27.6	36.3833	27.6
-27.7	27.7	36.5151	27.7
-27.8	27.8	36.6469	27.8
-27.9	27.9	36.7788	27.9
-28.0	28.0	36.9106	28
-28.1	28.1	37.0424	28.1
-28.2	28.2	37.1742	28.2
-28.3	28.3	37.306	28.3
-28.4	28.4	37.4379	28.4
-28.5	28.5	37.5697	28.5
-28.6	28.6	37.7015	28.6
-28.7	28.7	37.8333	28.7
-28.8	28.8	37.9652	28.8
-28.9	28.9	38.097	28.9
-29.0	29.0	38.2288	29
-29.1	29.1	38.3606	29.1
-29.2	29.2	38.4925	29.2
-29.3	29.3	38.6243	29.3
-29.4	29.4	38.7561	29.4
-29.5	29.5	38.8879	29.5
-29.6	29.6	39.0198	29.6
-29.7	29.7	39.1516	29.7
-29.8	29.8	39.2834	29.8
-29.9	29.9	39.4152	29.9
-30.0	30.0	39.547	30
-30.1	30.1	39.6789	30.1
-30.2	30.2	39.8107	30.2
-30.3	30.3	39.9425	30.3
-30.4	30.4	40.0743	30.4
-30.5	30.5	40.2062	30.5
-30.6	30.6	40.338	30.6
-30.7	30.7	40.4698	30.7
-30.8	30.8	40.6016	30.8
-30.9	30.9	40.7335	30.9
-31.0	31.0	40.8653	31
-31.1	31.1	40.9971	31.1
-31.2	31.2	41.1289	31.2
-31.3	31.3	41.2608	31.3
-31.4	31.4	41.3926	31.4
-31.5	31.5	41.5244	31.5
-31.6	31.6	41.6562	31.6
-31.7	31.7	41.788	31.7
-31.8	31.8	41.9199	31.8
-31.9	31.9	42.0517	31.9
-32.0	32.0	42.1835	32
-32.1	32.1	42.3153	32.1
-32.2	32.2	42.4472	32.2
-32.3	32.3	42.579	32.3
-32.4	32.4	42.7108	32.4
-32.5	32.5	42.8426	32.5
-32.6	32.6	42.9745	32.6
-32.7	32.7	43.1063	32.7
-32.8	32.8	43.2381	32.8
-32.9	32.9	43.3699	32.9
-33.0	33.0	43.5018	33
-33.1	33.1	43.6336	33.1
-33.2	33.2	43.7654	33.2
-33.3	33.3	43.8972	33.3
-33.4	33.4	44.029	33.4
-33.5	33.5	44.1609	33.5
-33.6	33.6	44.2927	33.6
-33.7	33.7	44.4245	33.7
-33.8	33.8	44.5563	33.8
-33.9	33.9	44.6882	33.9
-34.0	34.0	44.82	34
-34.1	34.1	44.9518	34.1
-34.2	34.2	45.0836	34.2
-34.3	34.3	45.2155	34.3
-34.4	34.4	45.3473	34.4
-34.5	34.5	45.4791	34.5
-34.6	34.6	45.6109	34.6
-34.7	34.7	45.7428	34.7
-34.8	34.8	45.8746	34.8
-34.9	34.9	46.0064	34.9
-35.0	35.0	46.1382	35
-35.1	35.1	46.27	35.1
-35.2	35.2	46.4019	35.2
-35.3	35.3	46.5337	35.3
-35.4	35.4	46.6655	35.4
-35.5	35.5	46.7973	35.5
-35.6	35.6	46.9292	35.6
-35.7	35.7	47.061	35.7
-35.8	35.8	47.1928	35.8
-35.9	35.9	47.3246	35.9
-36.0	36.0	47.4565	36
-36.1	36.1	47.5883	36.1
-36.2	36.2	47.7201	36.2
-36.3	36.3	47.8519	36.3
-36.4	36.4	47.9838	36.4
-36.5	36.5	48.1156	36.5
-36.6	36.6	48.2474	36.6
-36.7	36.7	48.3792	36.7
-36.8	36.8	48.511	36.8
-36.9	36.9	48.6429	36.9
-37.0	37.0	48.7747	37
-37.1	37.1	48.9065	37.1
-37.2	37.2	49.0383	37.2
-37.3	37.3	49.1702	37.3
-37.4	37.4	49.302	37.4
-37.5	37.5	49.4338	37.5
-37.6	37.6	49.5656	37.6
-37.7	37.7	49.6975	37.7
-37.8	37.8	49.8293	37.8
-37.9	37.9	49.9611	37.9
-38.0	38.0	50.0929	38
-38.1	38.1	50.2248	38.1
-38.2	38.2	50.3566	38.2
-38.3	38.3	50.4884	38.3
-38.4	38.4	50.6202	38.4
-38.5	38.5	50.752	38.5
-38.6	38.6	50.8839	38.6
-38.7	38.7	51.0157	38.7
-38.8	38.8	51.1475	38.8
-38.9	38.9	51.2793	38.9
-39.0	39.0	51.4112	39
-39.1	39.1	51.543	39.1
-39.2	39.2	51.6748	39.2
-39.3	39.3	51.8066	39.3
-39.4	39.4	51.9385	39.4
-39.5	39.5	52.0703	39.5
-39.6	39.6	52.2021	39.6
-39.7	39.7	52.3339	39.7
-39.8	39.8	52.4657	39.8
-39.9	39.9	52.5976	39.9
-40.0	40.0	52.7294	40
-40.1	40.1	52.8612	40.1
-40.2	40.2	52.993	40.2
-40.3	40.3	53.1249	40.3
-40.4	40.4	53.2567	40.4
-40.5	40.5	53.3885	40.5
-40.6	40.6	53.5203	40.6
-40.7	40.7	53.6522	40.7
-40.8	40.8	53.784	40.8
-40.9	40.9	53.9158	40.9
-41.0	41.0	54.0476	41
-41.1	41.1	54.1795	41.1
-41.2	41.2	54.3113	41.2
-41.3	41.3	54.4431	41.3
-41.4	41.4	54.5749	41.4
-41.5	41.5	54.7067	41.5
-41.6	41.6	54.8386	41.6
-41.7	41.7	54.9704	41.7
-41.8	41.8	55.1022	41.8
-41.9	41.9	55.234	41.9
-42.0	42.0	55.3659	42
-42.1	42.1	55.4977	42.1
-42.2	42.2	55.6295	42.2
-42.3	42.3	55.7613	42.3
-42.4	42.4	55.8932	42.4
-42.5	42.5	56.025	42.5
-42.6	42.6	56.1568	42.6
-42.7	42.7	56.2886	42.7
-42.8	42.8	56.4205	42.8
-42.9	42.9	56.5523	42.9
-43.0	43.0	56.6841	43
-43.1	43.1	56.8159	43.1
-43.2	43.2	56.9477	43.2
-43.3	43.3	57.0796	43.3
-43.4	43.4	57.2114	43.4
-43.5	43.5	57.3432	43.5
-43.6	43.6	57.475	43.6
-43.7	43.7	57.6069	43.7
-43.8	43.8	57.7387	43.8
-43.9	43.9	57.8705	43.9
-44.0	44.0	58.0023	44
-44.1	44.1	58.1342	44.1
-44.2	44.2	58.266	44.2
-44.3	44.3	58.3978	44.3
-44.4	44.4	58.5296	44.4
-44.5	44.5	58.6615	44.5
-44.6	44.6	58.7933	44.6
-44.7	44.7	58.9251	44.7
-44.8	44.8	59.0569	44.8
-44.9	44.9	59.1887	44.9
-45.0	45.0	59.3206	45
-45.1	45.1	59.4524	45.1
-45.2	45.2	59.5842	45.2
-45.3	45.3	59.716	45.3
-45.4	45.4	59.8479	45.4
-45.5	45.5	59.9797	45.5
-45.6	45.6	60.1115	45.6
-45.7	45.7	60.2433	45.7
-45.8	45.8	60.3752	45.8
-45.9	45.9	60.507	45.9
-46.0	46.0	60.6388	46
-46.1	46.1	60.7706	46.1
-46.2	46.2	60.9025	46.2
-46.3	46.3	61.0343	46.3
-46.4	46.4	61.1661	46.4
-46.5	46.5	61.2979	46.5
-46.6	46.6	61.4297	46.6
-46.7	46.7	61.5616	46.7
-46.8	46.8	61.6934	46.8
-46.9	46.9	61.8252	46.9
-47.0	47.0	61.957	47
-47.1	47.1	62.0889	47.1
-47.2	47.2	62.2207	47.2
-47.3	47.3	62.3525	47.3
-47.4	47.4	62.4843	47.4
-47.5	47.5	62.6162	47.5
-47.6	47.6	62.748	47.6
-47.7	47.7	62.8798	47.7
-47.8	47.8	63.0116	47.8
-47.9	47.9	63.1435	47.9
-48.0	48.0	63.2753	48
-48.1	48.1	63.4071	48.1
-48.2	48.2	63.5389	48.2
-48.3	48.3	63.6707	48.3
-48.4	48.4	63.8026	48.4
-48.5	48.5	63.9344	48.5
-48.6	48.6	64.0662	48.6
-48.7	48.7	64.198	48.7
-48.8	48.8	64.3299	48.8
-48.9	48.9	64.4617	48.9
-49.0	49.0	64.5935	49
-49.1	49.1	64.7253	49.1
-49.2	49.2	64.8572	49.2
-49.3	49.3	64.989	49.3
-49.4	49.4	65.1208	49.4
-49.5	49.5	65.2526	49.5
-49.6	49.6	65.3845	49.6
-49.7	49.7	65.5163	49.7
-49.8	49.8	65.6481	49.8
-49.9	49.9	65.7799	49.9
-50.0	50.0	65.9117	50
-50.1	50.1	66.0436	50.1
-50.2	50.2	66.1754	50.2
-50.3	50.3	66.3072	50.3
-50.4	50.4	66.439	50.4
-50.5	50.5	66.5709	50.5
-50.6	50.6	66.7027	50.6
-50.7	50.7	66.8345	50.7
-50.8	50.8	66.9663	50.8
-50.9	50.9	67.0982	50.9
-51.0	51.0	67.23	51
-51.1	51.1	67.3618	51.1
-51.2	51.2	67.4936	51.2
-51.3	51.3	67.6255	51.3
-51.4	51.4	67.7573	51.4
-51.5	51.5	67.8891	51.5
-51.6	51.6	68.0209	51.6
-51.7	51.7	68.1527	51.7
-51.8	51.8	68.2846	51.8
-51.9	51.9	68.4164	51.9
-52.0	52.0	68.5482	52
-52.1	52.1	68.68	52.1
-52.2	52.2	68.8119	52.2
-52.3	52.3	68.9437	52.3
-52.4	52.4	69.0755	52.4
-52.5	52.5	69.2073	52.5
-52.6	52.6	69.3392	52.6
-52.7	52.7	69.471	52.7
-52.8	52.8	69.6028	52.8
-52.9	52.9	69.7346	52.9
-53.0	53.0	69.8665	53
-53.1	53.1	69.9983	53.1
-53.2	53.2	70.1301	53.2
-53.3	53.3	70.2619	53.3
-53.4	53.4	70.3937	53.4
-53.5	53.5	70.5256	53.5
-53.6	53.6	70.6574	53.6
-53.7	53.7	70.7892	53.7
-53.8	53.8	70.921	53.8
-53.9	53.9	71.0529	53.9
-54.0	54.0	71.1847	54
-54.1	54.1	71.3165	54.1
-54.2	54.2	71.4483	54.2
-54.3	54.3	71.5802	54.3
-54.4	54.4	71.712	54.4
-54.5	54.5	71.8438	54.5
-54.6	54.6	71.9756	54.6
-54.7	54.7	72.1075	54.7
-54.8	54.8	72.2393	54.8
-54.9	54.9	72.3711	54.9
-55.0	55.0	72.5029	55
-55.1	55.1	72.6347	55.1
-55.2	55.2	72.7666	55.2
-55.3	55.3	72.8984	55.3
-55.4	55.4	73.0302	55.4
-55.5	55.5	73.162	55.5
-55.6	55.6	73.2939	55.6
-55.7	55.7	73.4257	55.7
-55.8	55.8	73.5575	55.8
-55.9	55.9	73.6893	55.9
-56.0	56.0	73.8212	56
-56.1	56.1	73.953	56.1
-56.2	56.2	74.0848	56.2
-56.3	56.3	74.2166	56.3
-56.4	56.4	74.3484	56.4
-56.5	56.5	74.4803	56.5
-56.6	56.6	74.6121	56.6
-56.7	56.7	74.7439	56.7
-56.8	56.8	74.8757	56.8
-56.9	56.9	75.0076	56.9
-57.0	57.0	75.1394	57
-57.1	57.1	75.2712	57.1
-57.2	57.2	75.403	57.2
-57.3	57.3	75.5349	57.3
-57.4	57.4	75.6667	57.4
-57.5	57.5	75.7985	57.5
-57.6	57.6	75.9303	57.6
-57.7	57.7	76.0622	57.7
-57.8	57.8	76.194	57.8
-57.9	57.9	76.3258	57.9
-58.0	58.0	76.4576	58
-58.1	58.1	76.5894	58.1
-58.2	58.2	76.7213	58.2
-58.3	58.3	76.8531	58.3
-58.4	58.4	76.9849	58.4
-58.5	58.5	77.1167	58.5
-58.6	58.6	77.2486	58.6
-58.7	58.7	77.3804	58.7
-58.8	58.8	77.5122	58.8
-58.9	58.9	77.644	58.9
-59.0	59.0	77.7759	59
-59.1	59.1	77.9077	59.1
-59.2	59.2	78.0395	59.2
-59.3	59.3	78.1713	59.3
-59.4	59.4	78.3032	59.4
-59.5	59.5	78.435	59.5
-59.6	59.6	78.5668	59.6
-59.7	59.7	78.6986	59.7
-59.8	59.8	78.8304	59.8
-59.9	59.9	78.9623	59.9
-60.0	60.0	79.0941	60
-60.1	60.1	79.2259	60.1
-60.2	60.2	79.3577	60.2
-60.3	60.3	79.4896	60.3
-60.4	60.4	79.6214	60.4
-60.5	60.5	79.7532	60.5
-60.6	60.6	79.885	60.6
-60.7	60.7	80.0169	60.7
-60.8	60.8	80.1487	60.8
-60.9	60.9	80.2805	60.9
-61.0	61.0	80.4123	61
-61.1	61.1	80.5442	61.1
-61.2	61.2	80.676	61.2
-61.3	61.3	80.8078	61.3
-61.4	61.4	80.9396	61.4
-61.5	61.5	81.0714	61.5
-61.6	61.6	81.2033	61.6
-61.7	61.7	81.3351	61.7
-61.8	61.8	81.4669	61.8
-61.9	61.9	81.5987	61.9
-62.0	62.0	81.7306	62
-62.1	62.1	81.8624	62.1
-62.2	62.2	81.9942	62.2
-62.3	62.3	82.126	62.3
-62.4	62.4	82.2579	62.4
-62.5	62.5	82.3897	62.5
-62.6	62.6	82.5215	62.6
-62.7	62.7	82.6533	62.7
-62.8	62.8	82.7852	62.8
-62.9	62.9	82.917	62.9
-63.0	63.0	83.0488	63
-63.1	63.1	83.1806	63.1
-63.2	63.2	83.3124	63.2
-63.3	63.3	83.4443	63.3
-63.4	63.4	83.5761	63.4
-63.5	63.5	83.7079	63.5
-63.6	63.6	83.8397	63.6
-63.7	63.7	83.9716	63.7
-63.8	63.8	84.1034	63.8
-63.9	63.9	84.2352	63.9
-64.0	64.0	84.367	64
-64.1	64.1	84.4989	64.1
-64.2	64.2	84.6307	64.2
-64.3	64.3	84.7625	64.3
-64.4	64.4	84.8943	64.4
-64.5	64.5	85.0262	64.5
-64.6	64.6	85.158	64.6
-64.7	64.7	85.2898	64.7
-64.8	64.8	85.4216	64.8
-64.9	64.9	85.5534	64.9
-65.0	65.0	85.6853	65
-65.1	65.1	85.8171	65.1
-65.2	65.2	85.9489	65.2
-65.3	65.3	86.0807	65.3
-65.4	65.4	86.2126	65.4
-65.5	65.5	86.3444	65.5
-65.6	65.6	86.4762	65.6
-65.7	65.7	86.608	65.7
-65.8	65.8	86.7399	65.8
-65.9	65.9	86.8717	65.9
-66.0	66.0	87.0035	66
-66.1	66.1	87.1353	66.1
-66.2	66.2	87.2672	66.2
-66.3	66.3	87.399	66.3
-66.4	66.4	87.5308	66.4
-66.5	66.5	87.6626	66.5
-66.6	66.6	87.7944	66.6
-66.7	66.7	87.9263	66.7
-66.8	66.8	88.0581	66.8
-66.9	66.9	88.1899	66.9
-67.0	67.0	88.3217	67
-67.1	67.1	88.4536	67.1
-67.2	67.2	88.5854	67.2
-67.3	67.3	88.7172	67.3
-67.4	67.4	88.849	67.4
-67.5	67.5	88.9809	67.5
-67.6	67.6	89.1127	67.6
-67.7	67.7	89.2445	67.7
-67.8	67.8	89.3763	67.8
-67.9	67.9	89.5082	67.9
-68.0	68.0	89.64	68
-68.1	68.1	89.7718	68.1
-68.2	68.2	89.9036	68.2
-68.3	68.3	90.0354	68.3
-68.4	68.4	90.1673	68.4
-68.5	68.5	90.2991	68.5
-68.6	68.6	90.4309	68.6
-68.7	68.7	90.5627	68.7
-68.8	68.8	90.6946	68.8
-68.9	68.9	90.8264	68.9
-69.0	69.0	90.9582	69
-69.1	69.1	91.09	69.1
-69.2	69.2	91.2219	69.2
-69.3	69.3	91.3537	69.3
-69.4	69.4	91.4855	69.4
-69.5	69.5	91.6173	69.5
-69.6	69.6	91.7492	69.6
-69.7	69.7	91.881	69.7
-69.8	69.8	92.0128	69.8
-69.9	69.9	92.1446	69.9
-70.0	70.0	92.2764	70
-70.1	70.1	92.4083	70.1
-70.2	70.2	92.5401	70.2
-70.3	70.3	92.6719	70.3
-70.4	70.4	92.8037	70.4
-70.5	70.5	92.9356	70.5
-70.6	70.6	93.0674	70.6
-70.7	70.7	93.1992	70.7
-70.8	70.8	93.331	70.8
-70.9	70.9	93.4629	70.9
-71.0	71.0	93.5947	71
-71.1	71.1	93.7265	71.1
-71.2	71.2	93.8583	71.2
-71.3	71.3	93.9902	71.3
-71.4	71.4	94.122	71.4
-71.5	71.5	94.2538	71.5
-71.6	71.6	94.3856	71.6
-71.7	71.7	94.5174	71.7
-71.8	71.8	94.6493	71.8
-71.9	71.9	94.7811	71.9
-72.0	72.0	94.9129	72
-72.1	72.1	95.0447	72.1
-72.2	72.2	95.1766	72.2
-72.3	72.3	95.3084	72.3
-72.4	72.4	95.4402	72.4
-72.5	72.5	95.572	72.5
-72.6	72.6	95.7039	72.6
-72.7	72.7	95.8357	72.7
-72.8	72.8	95.9675	72.8
-72.9	72.9	96.0993	72.9
-73.0	73.0	96.2311	73
-73.1	73.1	96.363	73.1
-73.2	73.2	96.4948	73.2
-73.3	73.3	96.6266	73.3
-73.4	73.4	96.7584	73.4
-73.5	73.5	96.8903	73.5
-73.6	73.6	97.0221	73.6
-73.7	73.7	97.1539	73.7
-73.8	73.8	97.2857	73.8
-73.9	73.9	97.4176	73.9
-74.0	74.0	97.5494	74
-74.1	74.1	97.6812	74.1
-74.2	74.2	97.813	74.2
-74.3	74.3	97.9449	74.3
-74.4	74.4	98.0767	74.4
-74.5	74.5	98.2085	74.5
-74.6	74.6	98.3403	74.6
-74.7	74.7	98.4721	74.7
-74.8	74.8	98.604	74.8
-74.9	74.9	98.7358	74.9
-75.0	75.0	98.8676	75
-75.1	75.1	98.9994	75.1
-75.2	75.2	99.1313	75.2
-75.3	75.3	99.2631	75.3
-75.4	75.4	99.3949	75.4
-75.5	75.5	99.5267	75.5
-75.6	75.6	99.6586	75.6
-75.7	75.7	99.7904	75.7
-75.8	75.8	99.9222	75.8
-75.9	75.9	100	75.9
-76.0	76.0	100	76
-76.1	76.1	100	76.1
-76.2	76.2	100	76.2
-76.3	76.3	100	76.3
-76.4	76.4	100	76.4
-76.5	76.5	100	76.5
-76.6	76.6	100	76.6
-76.7	76.7	100	76.7
-76.8	76.8	100	76.8
-76.9	76.9	100	76.9
-77.0	77.0	100	77
-77.1	77.1	100	77.1
-77.2	77.2	100	77.2
-77.3	77.3	100	77.3
-77.4	77.4	100	77.4
-77.5	77.5	100	77.5
-77.6	77.6	100	77.6
-77.7	77.7	100	77.7
-77.8	77.8	100	77.8
-77.9	77.9	100	77.9
-78.0	78.0	100	78
-78.1	78.1	100	78.1
-78.2	78.2	100	78.2
-78.3	78.3	100	78.3
-78.4	78.4	100	78.4
-78.5	78.5	100	78.5
-78.6	78.6	100	78.6
-78.7	78.7	100	78.7
-78.8	78.8	100	78.8
-78.9	78.9	100	78.9
-79.0	79.0	100	79
-79.1	79.1	100	79.1
-79.2	79.2	100	79.2
-79.3	79.3	100	79.3
-79.4	79.4	100	79.4
-79.5	79.5	100	79.5
-79.6	79.6	100	79.6
-79.7	79.7	100	79.7
-79.8	79.8	100	79.8
-79.9	79.9	100	79.9
-80.0	80.0	100	80
-80.1	80.1	100	80.1
-80.2	80.2	100	80.2
-80.3	80.3	100	80.3
-80.4	80.4	100	80.4
-80.5	80.5	100	80.5
-80.6	80.6	100	80.6
-80.7	80.7	100	80.7
-80.8	80.8	100	80.8
-80.9	80.9	100	80.9
-81.0	81.0	100	81
-81.1	81.1	100	81.1
-81.2	81.2	100	81.2
-81.3	81.3	100	81.3
-81.4	81.4	100	81.4
-81.5	81.5	100	81.5
-81.6	81.6	100	81.6
-81.7	81.7	100	81.7
-81.8	81.8	100	81.8
-81.9	81.9	100	81.9
-82.0	82.0	100	82
-82.1	82.1	100	82.1
-82.2	82.2	100	82.2
-82.3	82.3	100	82.3
-82.4	82.4	100	82.4
-82.5	82.5	100	82.5
-82.6	82.6	100	82.6
-82.7	82.7	100	82.7
-82.8	82.8	100	82.8
-82.9	82.9	100	82.9
-83.0	83.0	100	83
-83.1	83.1	100	83.1
-83.2	83.2	100	83.2
-83.3	83.3	100	83.3
-83.4	83.4	100	83.4
-83.5	83.5	100	83.5
-83.6	83.6	100	83.6
-83.7	83.7	100	83.7
-83.8	83.8	100	83.8
-83.9	83.9	100	83.9
-84.0	84.0	100	84
-84.1	84.1	100	84.1
-84.2	84.2	100	84.2
-84.3	84.3	100	84.3
-84.4	84.4	100	84.4
-84.5	84.5	100	84.5
-84.6	84.6	100	84.6
-84.7	84.7	100	84.7
-84.8	84.8	100	84.8
-84.9	84.9	100	84.9
-85.0	85.0	100	85
-85.1	85.1	100	85.1
-85.2	85.2	100	85.2
-85.3	85.3	100	85.3
-85.4	85.4	100	85.4
-85.5	85.5	100	85.5
-85.6	85.6	100	85.6
-85.7	85.7	100	85.7
-85.8	85.8	100	85.8
-85.9	85.9	100	85.9
-86.0	86.0	100	86
-86.1	86.1	100	86.1
-86.2	86.2	100	86.2
-86.3	86.3	100	86.3
-86.4	86.4	100	86.4
-86.5	86.5	100	86.5
-86.6	86.6	100	86.6
-86.7	86.7	100	86.7
-86.8	86.8	100	86.8
-86.9	86.9	100	86.9
-87.0	87.0	100	87
-87.1	87.1	100	87.1
-87.2	87.2	100	87.2
-87.3	87.3	100	87.3
-87.4	87.4	100	87.4
-87.5	87.5	100	87.5
-87.6	87.6	100	87.6
-87.7	87.7	100	87.7
-87.8	87.8	100	87.8
-87.9	87.9	100	87.9
-88.0	88.0	100	88
-88.1	88.1	100	88.1
-88.2	88.2	100	88.2
-88.3	88.3	100	88.3
-88.4	88.4	100	88.4
-88.5	88.5	100	88.5
-88.6	88.6	100	88.6
-88.7	88.7	100	88.7
-88.8	88.8	100	88.8
-88.9	88.9	100	88.9
-89.0	89.0	100	89
-89.1	89.1	100	89.1
-89.2	89.2	100	89.2
-89.3	89.3	100	89.3
-89.4	89.4	100	89.4
-89.5	89.5	100	89.5
-89.6	89.6	100	89.6
-89.7	89.7	100	89.7
-89.8	89.8	100	89.8
-89.9	89.9	100	89.9
-90.0	90.0	100	90
-90.1	90.1	100	90.1
-90.2	90.2	100	90.2
-90.3	90.3	100	90.3
-90.4	90.4	100	90.4
-90.5	90.5	100	90.5
-90.6	90.6	100	90.6
-90.7	90.7	100	90.7
-90.8	90.8	100	90.8
-90.9	90.9	100	90.9
-91.0	91.0	100	91
-91.1	91.1	100	91.1
-91.2	91.2	100	91.2
-91.3	91.3	100	91.3
-91.4	91.4	100	91.4
-91.5	91.5	100	91.5
-91.6	91.6	100	91.6
-91.7	91.7	100	91.7
-91.8	91.8	100	91.8
-91.9	91.9	100	91.9
-92.0	92.0	100	92
-92.1	92.1	100	92.1
-92.2	92.2	100	92.2
-92.3	92.3	100	92.3
-92.4	92.4	100	92.4
-92.5	92.5	100	92.5
-92.6	92.6	100	92.6
-92.7	92.7	100	92.7
-92.8	92.8	100	92.8
-92.9	92.9	100	92.9
-93.0	93.0	100	93
-93.1	93.1	100	93.1
-93.2	93.2	100	93.2
-93.3	93.3	100	93.3
-93.4	93.4	100	93.4
-93.5	93.5	100	93.5
-93.6	93.6	100	93.6
-93.7	93.7	100	93.7
-93.8	93.8	100	93.8
-93.9	93.9	100	93.9
-94.0	94.0	100	94
-94.1	94.1	100	94.1
-94.2	94.2	100	94.2
-94.3	94.3	100	94.3
-94.4	94.4	100	94.4
-94.5	94.5	100	94.5
-94.6	94.6	100	94.6
-94.7	94.7	100	94.7
-94.8	94.8	100	94.8
-94.9	94.9	100	94.9
-95.0	95.0	100	95
-95.1	95.1	100	95.1
-95.2	95.2	100	95.2
-95.3	95.3	100	95.3
-95.4	95.4	100	95.4
-95.5	95.5	100	95.5
-95.6	95.6	100	95.6
-95.7	95.7	100	95.7
-95.8	95.8	100	95.8
-95.9	95.9	100	95.9
-96.0	96.0	100	96
-96.1	96.1	100	96.1
-96.2	96.2	100	96.2
-96.3	96.3	100	96.3
-96.4	96.4	100	96.4
-96.5	96.5	100	96.5
-96.6	96.6	100	96.6
-96.7	96.7	100	96.7
-96.8	96.8	100	96.8
-96.9	96.9	100	96.9
-97.0	97.0	100	97
-97.1	97.1	100	97.1
-97.2	97.2	100	97.2
-97.3	97.3	100	97.3
-97.4	97.4	100	97.4
-97.5	97.5	100	97.5
-97.6	97.6	100	97.6
-97.7	97.7	100	97.7
-97.8	97.8	100	97.8
-97.9	97.9	100	97.9
-98.0	98.0	100	98
-98.1	98.1	100	98.1
-98.2	98.2	100	98.2
-98.3	98.3	100	98.3
-98.4	98.4	100	98.4
-98.5	98.5	100	98.5
-98.6	98.6	100	98.6
-98.7	98.7	100	98.7
-98.8	98.8	100	98.8
-98.9	98.9	100	98.9
-99.0	99.0	100	99
-99.1	99.1	100	99.1
-99.2	99.2	100	99.2
-99.3	99.3	100	99.3
-99.4	99.4	100	99.4
-99.5	99.5	100	99.5
-99.6	99.6	100	99.6
-99.7	99.7	100	99.7
-99.8	99.8	100	99.8
-99.9	99.9	100	99.9
-100.0	100.0	100	100
-
-Lift curves	more
-Size	Random	Optimal	Selective Naive Bayes
-0.0	0.0	0	0
-0.1	0.1	0.414233	0.1
-0.2	0.2	0.828467	0.2
-0.3	0.3	1.2427	0.3
-0.4	0.4	1.65693	0.4
-0.5	0.5	2.07117	0.5
-0.6	0.6	2.4854	0.6
-0.7	0.7	2.89963	0.7
-0.8	0.8	3.31387	0.8
-0.9	0.9	3.7281	0.9
-1.0	1.0	4.14233	1
-1.1	1.1	4.55657	1.1
-1.2	1.2	4.9708	1.2
-1.3	1.3	5.38503	1.3
-1.4	1.4	5.79927	1.4
-1.5	1.5	6.2135	1.5
-1.6	1.6	6.62773	1.6
-1.7	1.7	7.04197	1.7
-1.8	1.8	7.4562	1.8
-1.9	1.9	7.87043	1.9
-2.0	2.0	8.28467	2
-2.1	2.1	8.6989	2.1
-2.2	2.2	9.11313	2.2
-2.3	2.3	9.52737	2.3
-2.4	2.4	9.9416	2.4
-2.5	2.5	10.3558	2.5
-2.6	2.6	10.7701	2.6
-2.7	2.7	11.1843	2.7
-2.8	2.8	11.5985	2.8
-2.9	2.9	12.0128	2.9
-3.0	3.0	12.427	3
-3.1	3.1	12.8412	3.1
-3.2	3.2	13.2555	3.2
-3.3	3.3	13.6697	3.3
-3.4	3.4	14.0839	3.4
-3.5	3.5	14.4982	3.5
-3.6	3.6	14.9124	3.6
-3.7	3.7	15.3266	3.7
-3.8	3.8	15.7409	3.8
-3.9	3.9	16.1551	3.9
-4.0	4.0	16.5693	4
-4.1	4.1	16.9836	4.1
-4.2	4.2	17.3978	4.2
-4.3	4.3	17.812	4.3
-4.4	4.4	18.2263	4.4
-4.5	4.5	18.6405	4.5
-4.6	4.6	19.0547	4.6
-4.7	4.7	19.469	4.7
-4.8	4.8	19.8832	4.8
-4.9	4.9	20.2974	4.9
-5.0	5.0	20.7117	5
-5.1	5.1	21.1259	5.1
-5.2	5.2	21.5401	5.2
-5.3	5.3	21.9544	5.3
-5.4	5.4	22.3686	5.4
-5.5	5.5	22.7828	5.5
-5.6	5.6	23.1971	5.6
-5.7	5.7	23.6113	5.7
-5.8	5.8	24.0255	5.8
-5.9	5.9	24.4398	5.9
-6.0	6.0	24.854	6
-6.1	6.1	25.2682	6.1
-6.2	6.2	25.6825	6.2
-6.3	6.3	26.0967	6.3
-6.4	6.4	26.5109	6.4
-6.5	6.5	26.9252	6.5
-6.6	6.6	27.3394	6.6
-6.7	6.7	27.7536	6.7
-6.8	6.8	28.1679	6.8
-6.9	6.9	28.5821	6.9
-7.0	7.0	28.9963	7
-7.1	7.1	29.4106	7.1
-7.2	7.2	29.8248	7.2
-7.3	7.3	30.239	7.3
-7.4	7.4	30.6533	7.4
-7.5	7.5	31.0675	7.5
-7.6	7.6	31.4817	7.6
-7.7	7.7	31.896	7.7
-7.8	7.8	32.3102	7.8
-7.9	7.9	32.7244	7.9
-8.0	8.0	33.1387	8
-8.1	8.1	33.5529	8.1
-8.2	8.2	33.9671	8.2
-8.3	8.3	34.3814	8.3
-8.4	8.4	34.7956	8.4
-8.5	8.5	35.2098	8.5
-8.6	8.6	35.6241	8.6
-8.7	8.7	36.0383	8.7
-8.8	8.8	36.4525	8.8
-8.9	8.9	36.8668	8.9
-9.0	9.0	37.281	9
-9.1	9.1	37.6952	9.1
-9.2	9.2	38.1095	9.2
-9.3	9.3	38.5237	9.3
-9.4	9.4	38.9379	9.4
-9.5	9.5	39.3522	9.5
-9.6	9.6	39.7664	9.6
-9.7	9.7	40.1806	9.7
-9.8	9.8	40.5949	9.8
-9.9	9.9	41.0091	9.9
-10.0	10.0	41.4233	10
-10.1	10.1	41.8376	10.1
-10.2	10.2	42.2518	10.2
-10.3	10.3	42.666	10.3
-10.4	10.4	43.0803	10.4
-10.5	10.5	43.4945	10.5
-10.6	10.6	43.9087	10.6
-10.7	10.7	44.323	10.7
-10.8	10.8	44.7372	10.8
-10.9	10.9	45.1514	10.9
-11.0	11.0	45.5657	11
-11.1	11.1	45.9799	11.1
-11.2	11.2	46.3941	11.2
-11.3	11.3	46.8084	11.3
-11.4	11.4	47.2226	11.4
-11.5	11.5	47.6368	11.5
-11.6	11.6	48.0511	11.6
-11.7	11.7	48.4653	11.7
-11.8	11.8	48.8795	11.8
-11.9	11.9	49.2938	11.9
-12.0	12.0	49.708	12
-12.1	12.1	50.1222	12.1
-12.2	12.2	50.5365	12.2
-12.3	12.3	50.9507	12.3
-12.4	12.4	51.3649	12.4
-12.5	12.5	51.7792	12.5
-12.6	12.6	52.1934	12.6
-12.7	12.7	52.6076	12.7
-12.8	12.8	53.0219	12.8
-12.9	12.9	53.4361	12.9
-13.0	13.0	53.8503	13
-13.1	13.1	54.2646	13.1
-13.2	13.2	54.6788	13.2
-13.3	13.3	55.093	13.3
-13.4	13.4	55.5073	13.4
-13.5	13.5	55.9215	13.5
-13.6	13.6	56.3357	13.6
-13.7	13.7	56.75	13.7
-13.8	13.8	57.1642	13.8
-13.9	13.9	57.5784	13.9
-14.0	14.0	57.9927	14
-14.1	14.1	58.4069	14.1
-14.2	14.2	58.8211	14.2
-14.3	14.3	59.2354	14.3
-14.4	14.4	59.6496	14.4
-14.5	14.5	60.0638	14.5
-14.6	14.6	60.4781	14.6
-14.7	14.7	60.8923	14.7
-14.8	14.8	61.3065	14.8
-14.9	14.9	61.7208	14.9
-15.0	15.0	62.135	15
-15.1	15.1	62.5492	15.1
-15.2	15.2	62.9635	15.2
-15.3	15.3	63.3777	15.3
-15.4	15.4	63.7919	15.4
-15.5	15.5	64.2062	15.5
-15.6	15.6	64.6204	15.6
-15.7	15.7	65.0346	15.7
-15.8	15.8	65.4489	15.8
-15.9	15.9	65.8631	15.9
-16.0	16.0	66.2773	16
-16.1	16.1	66.6916	16.1
-16.2	16.2	67.1058	16.2
-16.3	16.3	67.52	16.3
-16.4	16.4	67.9343	16.4
-16.5	16.5	68.3485	16.5
-16.6	16.6	68.7627	16.6
-16.7	16.7	69.177	16.7
-16.8	16.8	69.5912	16.8
-16.9	16.9	70.0054	16.9
-17.0	17.0	70.4197	17
-17.1	17.1	70.8339	17.1
-17.2	17.2	71.2481	17.2
-17.3	17.3	71.6624	17.3
-17.4	17.4	72.0766	17.4
-17.5	17.5	72.4908	17.5
-17.6	17.6	72.9051	17.6
-17.7	17.7	73.3193	17.7
-17.8	17.8	73.7335	17.8
-17.9	17.9	74.1478	17.9
-18.0	18.0	74.562	18
-18.1	18.1	74.9762	18.1
-18.2	18.2	75.3905	18.2
-18.3	18.3	75.8047	18.3
-18.4	18.4	76.2189	18.4
-18.5	18.5	76.6332	18.5
-18.6	18.6	77.0474	18.6
-18.7	18.7	77.4616	18.7
-18.8	18.8	77.8759	18.8
-18.9	18.9	78.2901	18.9
-19.0	19.0	78.7043	19
-19.1	19.1	79.1186	19.1
-19.2	19.2	79.5328	19.2
-19.3	19.3	79.947	19.3
-19.4	19.4	80.3613	19.4
-19.5	19.5	80.7755	19.5
-19.6	19.6	81.1897	19.6
-19.7	19.7	81.604	19.7
-19.8	19.8	82.0182	19.8
-19.9	19.9	82.4324	19.9
-20.0	20.0	82.8467	20
-20.1	20.1	83.2609	20.1
-20.2	20.2	83.6751	20.2
-20.3	20.3	84.0894	20.3
-20.4	20.4	84.5036	20.4
-20.5	20.5	84.9178	20.5
-20.6	20.6	85.3321	20.6
-20.7	20.7	85.7463	20.7
-20.8	20.8	86.1605	20.8
-20.9	20.9	86.5748	20.9
-21.0	21.0	86.989	21
-21.1	21.1	87.4032	21.1
-21.2	21.2	87.8175	21.2
-21.3	21.3	88.2317	21.3
-21.4	21.4	88.6459	21.4
-21.5	21.5	89.0602	21.5
-21.6	21.6	89.4744	21.6
-21.7	21.7	89.8886	21.7
-21.8	21.8	90.3029	21.8
-21.9	21.9	90.7171	21.9
-22.0	22.0	91.1313	22
-22.1	22.1	91.5456	22.1
-22.2	22.2	91.9598	22.2
-22.3	22.3	92.374	22.3
-22.4	22.4	92.7883	22.4
-22.5	22.5	93.2025	22.5
-22.6	22.6	93.6167	22.6
-22.7	22.7	94.031	22.7
-22.8	22.8	94.4452	22.8
-22.9	22.9	94.8594	22.9
-23.0	23.0	95.2737	23
-23.1	23.1	95.6879	23.1
-23.2	23.2	96.1021	23.2
-23.3	23.3	96.5164	23.3
-23.4	23.4	96.9306	23.4
-23.5	23.5	97.3448	23.5
-23.6	23.6	97.7591	23.6
-23.7	23.7	98.1733	23.7
-23.8	23.8	98.5875	23.8
-23.9	23.9	99.0018	23.9
-24.0	24.0	99.416	24
-24.1	24.1	99.8302	24.1
-24.2	24.2	100	24.2
-24.3	24.3	100	24.3
-24.4	24.4	100	24.4
-24.5	24.5	100	24.5
-24.6	24.6	100	24.6
-24.7	24.7	100	24.7
-24.8	24.8	100	24.8
-24.9	24.9	100	24.9
-25.0	25.0	100	25
-25.1	25.1	100	25.1
-25.2	25.2	100	25.2
-25.3	25.3	100	25.3
-25.4	25.4	100	25.4
-25.5	25.5	100	25.5
-25.6	25.6	100	25.6
-25.7	25.7	100	25.7
-25.8	25.8	100	25.8
-25.9	25.9	100	25.9
-26.0	26.0	100	26
-26.1	26.1	100	26.1
-26.2	26.2	100	26.2
-26.3	26.3	100	26.3
-26.4	26.4	100	26.4
-26.5	26.5	100	26.5
-26.6	26.6	100	26.6
-26.7	26.7	100	26.7
-26.8	26.8	100	26.8
-26.9	26.9	100	26.9
-27.0	27.0	100	27
-27.1	27.1	100	27.1
-27.2	27.2	100	27.2
-27.3	27.3	100	27.3
-27.4	27.4	100	27.4
-27.5	27.5	100	27.5
-27.6	27.6	100	27.6
-27.7	27.7	100	27.7
-27.8	27.8	100	27.8
-27.9	27.9	100	27.9
-28.0	28.0	100	28
-28.1	28.1	100	28.1
-28.2	28.2	100	28.2
-28.3	28.3	100	28.3
-28.4	28.4	100	28.4
-28.5	28.5	100	28.5
-28.6	28.6	100	28.6
-28.7	28.7	100	28.7
-28.8	28.8	100	28.8
-28.9	28.9	100	28.9
-29.0	29.0	100	29
-29.1	29.1	100	29.1
-29.2	29.2	100	29.2
-29.3	29.3	100	29.3
-29.4	29.4	100	29.4
-29.5	29.5	100	29.5
-29.6	29.6	100	29.6
-29.7	29.7	100	29.7
-29.8	29.8	100	29.8
-29.9	29.9	100	29.9
-30.0	30.0	100	30
-30.1	30.1	100	30.1
-30.2	30.2	100	30.2
-30.3	30.3	100	30.3
-30.4	30.4	100	30.4
-30.5	30.5	100	30.5
-30.6	30.6	100	30.6
-30.7	30.7	100	30.7
-30.8	30.8	100	30.8
-30.9	30.9	100	30.9
-31.0	31.0	100	31
-31.1	31.1	100	31.1
-31.2	31.2	100	31.2
-31.3	31.3	100	31.3
-31.4	31.4	100	31.4
-31.5	31.5	100	31.5
-31.6	31.6	100	31.6
-31.7	31.7	100	31.7
-31.8	31.8	100	31.8
-31.9	31.9	100	31.9
-32.0	32.0	100	32
-32.1	32.1	100	32.1
-32.2	32.2	100	32.2
-32.3	32.3	100	32.3
-32.4	32.4	100	32.4
-32.5	32.5	100	32.5
-32.6	32.6	100	32.6
-32.7	32.7	100	32.7
-32.8	32.8	100	32.8
-32.9	32.9	100	32.9
-33.0	33.0	100	33
-33.1	33.1	100	33.1
-33.2	33.2	100	33.2
-33.3	33.3	100	33.3
-33.4	33.4	100	33.4
-33.5	33.5	100	33.5
-33.6	33.6	100	33.6
-33.7	33.7	100	33.7
-33.8	33.8	100	33.8
-33.9	33.9	100	33.9
-34.0	34.0	100	34
-34.1	34.1	100	34.1
-34.2	34.2	100	34.2
-34.3	34.3	100	34.3
-34.4	34.4	100	34.4
-34.5	34.5	100	34.5
-34.6	34.6	100	34.6
-34.7	34.7	100	34.7
-34.8	34.8	100	34.8
-34.9	34.9	100	34.9
-35.0	35.0	100	35
-35.1	35.1	100	35.1
-35.2	35.2	100	35.2
-35.3	35.3	100	35.3
-35.4	35.4	100	35.4
-35.5	35.5	100	35.5
-35.6	35.6	100	35.6
-35.7	35.7	100	35.7
-35.8	35.8	100	35.8
-35.9	35.9	100	35.9
-36.0	36.0	100	36
-36.1	36.1	100	36.1
-36.2	36.2	100	36.2
-36.3	36.3	100	36.3
-36.4	36.4	100	36.4
-36.5	36.5	100	36.5
-36.6	36.6	100	36.6
-36.7	36.7	100	36.7
-36.8	36.8	100	36.8
-36.9	36.9	100	36.9
-37.0	37.0	100	37
-37.1	37.1	100	37.1
-37.2	37.2	100	37.2
-37.3	37.3	100	37.3
-37.4	37.4	100	37.4
-37.5	37.5	100	37.5
-37.6	37.6	100	37.6
-37.7	37.7	100	37.7
-37.8	37.8	100	37.8
-37.9	37.9	100	37.9
-38.0	38.0	100	38
-38.1	38.1	100	38.1
-38.2	38.2	100	38.2
-38.3	38.3	100	38.3
-38.4	38.4	100	38.4
-38.5	38.5	100	38.5
-38.6	38.6	100	38.6
-38.7	38.7	100	38.7
-38.8	38.8	100	38.8
-38.9	38.9	100	38.9
-39.0	39.0	100	39
-39.1	39.1	100	39.1
-39.2	39.2	100	39.2
-39.3	39.3	100	39.3
-39.4	39.4	100	39.4
-39.5	39.5	100	39.5
-39.6	39.6	100	39.6
-39.7	39.7	100	39.7
-39.8	39.8	100	39.8
-39.9	39.9	100	39.9
-40.0	40.0	100	40
-40.1	40.1	100	40.1
-40.2	40.2	100	40.2
-40.3	40.3	100	40.3
-40.4	40.4	100	40.4
-40.5	40.5	100	40.5
-40.6	40.6	100	40.6
-40.7	40.7	100	40.7
-40.8	40.8	100	40.8
-40.9	40.9	100	40.9
-41.0	41.0	100	41
-41.1	41.1	100	41.1
-41.2	41.2	100	41.2
-41.3	41.3	100	41.3
-41.4	41.4	100	41.4
-41.5	41.5	100	41.5
-41.6	41.6	100	41.6
-41.7	41.7	100	41.7
-41.8	41.8	100	41.8
-41.9	41.9	100	41.9
-42.0	42.0	100	42
-42.1	42.1	100	42.1
-42.2	42.2	100	42.2
-42.3	42.3	100	42.3
-42.4	42.4	100	42.4
-42.5	42.5	100	42.5
-42.6	42.6	100	42.6
-42.7	42.7	100	42.7
-42.8	42.8	100	42.8
-42.9	42.9	100	42.9
-43.0	43.0	100	43
-43.1	43.1	100	43.1
-43.2	43.2	100	43.2
-43.3	43.3	100	43.3
-43.4	43.4	100	43.4
-43.5	43.5	100	43.5
-43.6	43.6	100	43.6
-43.7	43.7	100	43.7
-43.8	43.8	100	43.8
-43.9	43.9	100	43.9
-44.0	44.0	100	44
-44.1	44.1	100	44.1
-44.2	44.2	100	44.2
-44.3	44.3	100	44.3
-44.4	44.4	100	44.4
-44.5	44.5	100	44.5
-44.6	44.6	100	44.6
-44.7	44.7	100	44.7
-44.8	44.8	100	44.8
-44.9	44.9	100	44.9
-45.0	45.0	100	45
-45.1	45.1	100	45.1
-45.2	45.2	100	45.2
-45.3	45.3	100	45.3
-45.4	45.4	100	45.4
-45.5	45.5	100	45.5
-45.6	45.6	100	45.6
-45.7	45.7	100	45.7
-45.8	45.8	100	45.8
-45.9	45.9	100	45.9
-46.0	46.0	100	46
-46.1	46.1	100	46.1
-46.2	46.2	100	46.2
-46.3	46.3	100	46.3
-46.4	46.4	100	46.4
-46.5	46.5	100	46.5
-46.6	46.6	100	46.6
-46.7	46.7	100	46.7
-46.8	46.8	100	46.8
-46.9	46.9	100	46.9
-47.0	47.0	100	47
-47.1	47.1	100	47.1
-47.2	47.2	100	47.2
-47.3	47.3	100	47.3
-47.4	47.4	100	47.4
-47.5	47.5	100	47.5
-47.6	47.6	100	47.6
-47.7	47.7	100	47.7
-47.8	47.8	100	47.8
-47.9	47.9	100	47.9
-48.0	48.0	100	48
-48.1	48.1	100	48.1
-48.2	48.2	100	48.2
-48.3	48.3	100	48.3
-48.4	48.4	100	48.4
-48.5	48.5	100	48.5
-48.6	48.6	100	48.6
-48.7	48.7	100	48.7
-48.8	48.8	100	48.8
-48.9	48.9	100	48.9
-49.0	49.0	100	49
-49.1	49.1	100	49.1
-49.2	49.2	100	49.2
-49.3	49.3	100	49.3
-49.4	49.4	100	49.4
-49.5	49.5	100	49.5
-49.6	49.6	100	49.6
-49.7	49.7	100	49.7
-49.8	49.8	100	49.8
-49.9	49.9	100	49.9
-50.0	50.0	100	50
-50.1	50.1	100	50.1
-50.2	50.2	100	50.2
-50.3	50.3	100	50.3
-50.4	50.4	100	50.4
-50.5	50.5	100	50.5
-50.6	50.6	100	50.6
-50.7	50.7	100	50.7
-50.8	50.8	100	50.8
-50.9	50.9	100	50.9
-51.0	51.0	100	51
-51.1	51.1	100	51.1
-51.2	51.2	100	51.2
-51.3	51.3	100	51.3
-51.4	51.4	100	51.4
-51.5	51.5	100	51.5
-51.6	51.6	100	51.6
-51.7	51.7	100	51.7
-51.8	51.8	100	51.8
-51.9	51.9	100	51.9
-52.0	52.0	100	52
-52.1	52.1	100	52.1
-52.2	52.2	100	52.2
-52.3	52.3	100	52.3
-52.4	52.4	100	52.4
-52.5	52.5	100	52.5
-52.6	52.6	100	52.6
-52.7	52.7	100	52.7
-52.8	52.8	100	52.8
-52.9	52.9	100	52.9
-53.0	53.0	100	53
-53.1	53.1	100	53.1
-53.2	53.2	100	53.2
-53.3	53.3	100	53.3
-53.4	53.4	100	53.4
-53.5	53.5	100	53.5
-53.6	53.6	100	53.6
-53.7	53.7	100	53.7
-53.8	53.8	100	53.8
-53.9	53.9	100	53.9
-54.0	54.0	100	54
-54.1	54.1	100	54.1
-54.2	54.2	100	54.2
-54.3	54.3	100	54.3
-54.4	54.4	100	54.4
-54.5	54.5	100	54.5
-54.6	54.6	100	54.6
-54.7	54.7	100	54.7
-54.8	54.8	100	54.8
-54.9	54.9	100	54.9
-55.0	55.0	100	55
-55.1	55.1	100	55.1
-55.2	55.2	100	55.2
-55.3	55.3	100	55.3
-55.4	55.4	100	55.4
-55.5	55.5	100	55.5
-55.6	55.6	100	55.6
-55.7	55.7	100	55.7
-55.8	55.8	100	55.8
-55.9	55.9	100	55.9
-56.0	56.0	100	56
-56.1	56.1	100	56.1
-56.2	56.2	100	56.2
-56.3	56.3	100	56.3
-56.4	56.4	100	56.4
-56.5	56.5	100	56.5
-56.6	56.6	100	56.6
-56.7	56.7	100	56.7
-56.8	56.8	100	56.8
-56.9	56.9	100	56.9
-57.0	57.0	100	57
-57.1	57.1	100	57.1
-57.2	57.2	100	57.2
-57.3	57.3	100	57.3
-57.4	57.4	100	57.4
-57.5	57.5	100	57.5
-57.6	57.6	100	57.6
-57.7	57.7	100	57.7
-57.8	57.8	100	57.8
-57.9	57.9	100	57.9
-58.0	58.0	100	58
-58.1	58.1	100	58.1
-58.2	58.2	100	58.2
-58.3	58.3	100	58.3
-58.4	58.4	100	58.4
-58.5	58.5	100	58.5
-58.6	58.6	100	58.6
-58.7	58.7	100	58.7
-58.8	58.8	100	58.8
-58.9	58.9	100	58.9
-59.0	59.0	100	59
-59.1	59.1	100	59.1
-59.2	59.2	100	59.2
-59.3	59.3	100	59.3
-59.4	59.4	100	59.4
-59.5	59.5	100	59.5
-59.6	59.6	100	59.6
-59.7	59.7	100	59.7
-59.8	59.8	100	59.8
-59.9	59.9	100	59.9
-60.0	60.0	100	60
-60.1	60.1	100	60.1
-60.2	60.2	100	60.2
-60.3	60.3	100	60.3
-60.4	60.4	100	60.4
-60.5	60.5	100	60.5
-60.6	60.6	100	60.6
-60.7	60.7	100	60.7
-60.8	60.8	100	60.8
-60.9	60.9	100	60.9
-61.0	61.0	100	61
-61.1	61.1	100	61.1
-61.2	61.2	100	61.2
-61.3	61.3	100	61.3
-61.4	61.4	100	61.4
-61.5	61.5	100	61.5
-61.6	61.6	100	61.6
-61.7	61.7	100	61.7
-61.8	61.8	100	61.8
-61.9	61.9	100	61.9
-62.0	62.0	100	62
-62.1	62.1	100	62.1
-62.2	62.2	100	62.2
-62.3	62.3	100	62.3
-62.4	62.4	100	62.4
-62.5	62.5	100	62.5
-62.6	62.6	100	62.6
-62.7	62.7	100	62.7
-62.8	62.8	100	62.8
-62.9	62.9	100	62.9
-63.0	63.0	100	63
-63.1	63.1	100	63.1
-63.2	63.2	100	63.2
-63.3	63.3	100	63.3
-63.4	63.4	100	63.4
-63.5	63.5	100	63.5
-63.6	63.6	100	63.6
-63.7	63.7	100	63.7
-63.8	63.8	100	63.8
-63.9	63.9	100	63.9
-64.0	64.0	100	64
-64.1	64.1	100	64.1
-64.2	64.2	100	64.2
-64.3	64.3	100	64.3
-64.4	64.4	100	64.4
-64.5	64.5	100	64.5
-64.6	64.6	100	64.6
-64.7	64.7	100	64.7
-64.8	64.8	100	64.8
-64.9	64.9	100	64.9
-65.0	65.0	100	65
-65.1	65.1	100	65.1
-65.2	65.2	100	65.2
-65.3	65.3	100	65.3
-65.4	65.4	100	65.4
-65.5	65.5	100	65.5
-65.6	65.6	100	65.6
-65.7	65.7	100	65.7
-65.8	65.8	100	65.8
-65.9	65.9	100	65.9
-66.0	66.0	100	66
-66.1	66.1	100	66.1
-66.2	66.2	100	66.2
-66.3	66.3	100	66.3
-66.4	66.4	100	66.4
-66.5	66.5	100	66.5
-66.6	66.6	100	66.6
-66.7	66.7	100	66.7
-66.8	66.8	100	66.8
-66.9	66.9	100	66.9
-67.0	67.0	100	67
-67.1	67.1	100	67.1
-67.2	67.2	100	67.2
-67.3	67.3	100	67.3
-67.4	67.4	100	67.4
-67.5	67.5	100	67.5
-67.6	67.6	100	67.6
-67.7	67.7	100	67.7
-67.8	67.8	100	67.8
-67.9	67.9	100	67.9
-68.0	68.0	100	68
-68.1	68.1	100	68.1
-68.2	68.2	100	68.2
-68.3	68.3	100	68.3
-68.4	68.4	100	68.4
-68.5	68.5	100	68.5
-68.6	68.6	100	68.6
-68.7	68.7	100	68.7
-68.8	68.8	100	68.8
-68.9	68.9	100	68.9
-69.0	69.0	100	69
-69.1	69.1	100	69.1
-69.2	69.2	100	69.2
-69.3	69.3	100	69.3
-69.4	69.4	100	69.4
-69.5	69.5	100	69.5
-69.6	69.6	100	69.6
-69.7	69.7	100	69.7
-69.8	69.8	100	69.8
-69.9	69.9	100	69.9
-70.0	70.0	100	70
-70.1	70.1	100	70.1
-70.2	70.2	100	70.2
-70.3	70.3	100	70.3
-70.4	70.4	100	70.4
-70.5	70.5	100	70.5
-70.6	70.6	100	70.6
-70.7	70.7	100	70.7
-70.8	70.8	100	70.8
-70.9	70.9	100	70.9
-71.0	71.0	100	71
-71.1	71.1	100	71.1
-71.2	71.2	100	71.2
-71.3	71.3	100	71.3
-71.4	71.4	100	71.4
-71.5	71.5	100	71.5
-71.6	71.6	100	71.6
-71.7	71.7	100	71.7
-71.8	71.8	100	71.8
-71.9	71.9	100	71.9
-72.0	72.0	100	72
-72.1	72.1	100	72.1
-72.2	72.2	100	72.2
-72.3	72.3	100	72.3
-72.4	72.4	100	72.4
-72.5	72.5	100	72.5
-72.6	72.6	100	72.6
-72.7	72.7	100	72.7
-72.8	72.8	100	72.8
-72.9	72.9	100	72.9
-73.0	73.0	100	73
-73.1	73.1	100	73.1
-73.2	73.2	100	73.2
-73.3	73.3	100	73.3
-73.4	73.4	100	73.4
-73.5	73.5	100	73.5
-73.6	73.6	100	73.6
-73.7	73.7	100	73.7
-73.8	73.8	100	73.8
-73.9	73.9	100	73.9
-74.0	74.0	100	74
-74.1	74.1	100	74.1
-74.2	74.2	100	74.2
-74.3	74.3	100	74.3
-74.4	74.4	100	74.4
-74.5	74.5	100	74.5
-74.6	74.6	100	74.6
-74.7	74.7	100	74.7
-74.8	74.8	100	74.8
-74.9	74.9	100	74.9
-75.0	75.0	100	75
-75.1	75.1	100	75.1
-75.2	75.2	100	75.2
-75.3	75.3	100	75.3
-75.4	75.4	100	75.4
-75.5	75.5	100	75.5
-75.6	75.6	100	75.6
-75.7	75.7	100	75.7
-75.8	75.8	100	75.8
-75.9	75.9	100	75.9
-76.0	76.0	100	76
-76.1	76.1	100	76.1
-76.2	76.2	100	76.2
-76.3	76.3	100	76.3
-76.4	76.4	100	76.4
-76.5	76.5	100	76.5
-76.6	76.6	100	76.6
-76.7	76.7	100	76.7
-76.8	76.8	100	76.8
-76.9	76.9	100	76.9
-77.0	77.0	100	77
-77.1	77.1	100	77.1
-77.2	77.2	100	77.2
-77.3	77.3	100	77.3
-77.4	77.4	100	77.4
-77.5	77.5	100	77.5
-77.6	77.6	100	77.6
-77.7	77.7	100	77.7
-77.8	77.8	100	77.8
-77.9	77.9	100	77.9
-78.0	78.0	100	78
-78.1	78.1	100	78.1
-78.2	78.2	100	78.2
-78.3	78.3	100	78.3
-78.4	78.4	100	78.4
-78.5	78.5	100	78.5
-78.6	78.6	100	78.6
-78.7	78.7	100	78.7
-78.8	78.8	100	78.8
-78.9	78.9	100	78.9
-79.0	79.0	100	79
-79.1	79.1	100	79.1
-79.2	79.2	100	79.2
-79.3	79.3	100	79.3
-79.4	79.4	100	79.4
-79.5	79.5	100	79.5
-79.6	79.6	100	79.6
-79.7	79.7	100	79.7
-79.8	79.8	100	79.8
-79.9	79.9	100	79.9
-80.0	80.0	100	80
-80.1	80.1	100	80.1
-80.2	80.2	100	80.2
-80.3	80.3	100	80.3
-80.4	80.4	100	80.4
-80.5	80.5	100	80.5
-80.6	80.6	100	80.6
-80.7	80.7	100	80.7
-80.8	80.8	100	80.8
-80.9	80.9	100	80.9
-81.0	81.0	100	81
-81.1	81.1	100	81.1
-81.2	81.2	100	81.2
-81.3	81.3	100	81.3
-81.4	81.4	100	81.4
-81.5	81.5	100	81.5
-81.6	81.6	100	81.6
-81.7	81.7	100	81.7
-81.8	81.8	100	81.8
-81.9	81.9	100	81.9
-82.0	82.0	100	82
-82.1	82.1	100	82.1
-82.2	82.2	100	82.2
-82.3	82.3	100	82.3
-82.4	82.4	100	82.4
-82.5	82.5	100	82.5
-82.6	82.6	100	82.6
-82.7	82.7	100	82.7
-82.8	82.8	100	82.8
-82.9	82.9	100	82.9
-83.0	83.0	100	83
-83.1	83.1	100	83.1
-83.2	83.2	100	83.2
-83.3	83.3	100	83.3
-83.4	83.4	100	83.4
-83.5	83.5	100	83.5
-83.6	83.6	100	83.6
-83.7	83.7	100	83.7
-83.8	83.8	100	83.8
-83.9	83.9	100	83.9
-84.0	84.0	100	84
-84.1	84.1	100	84.1
-84.2	84.2	100	84.2
-84.3	84.3	100	84.3
-84.4	84.4	100	84.4
-84.5	84.5	100	84.5
-84.6	84.6	100	84.6
-84.7	84.7	100	84.7
-84.8	84.8	100	84.8
-84.9	84.9	100	84.9
-85.0	85.0	100	85
-85.1	85.1	100	85.1
-85.2	85.2	100	85.2
-85.3	85.3	100	85.3
-85.4	85.4	100	85.4
-85.5	85.5	100	85.5
-85.6	85.6	100	85.6
-85.7	85.7	100	85.7
-85.8	85.8	100	85.8
-85.9	85.9	100	85.9
-86.0	86.0	100	86
-86.1	86.1	100	86.1
-86.2	86.2	100	86.2
-86.3	86.3	100	86.3
-86.4	86.4	100	86.4
-86.5	86.5	100	86.5
-86.6	86.6	100	86.6
-86.7	86.7	100	86.7
-86.8	86.8	100	86.8
-86.9	86.9	100	86.9
-87.0	87.0	100	87
-87.1	87.1	100	87.1
-87.2	87.2	100	87.2
-87.3	87.3	100	87.3
-87.4	87.4	100	87.4
-87.5	87.5	100	87.5
-87.6	87.6	100	87.6
-87.7	87.7	100	87.7
-87.8	87.8	100	87.8
-87.9	87.9	100	87.9
-88.0	88.0	100	88
-88.1	88.1	100	88.1
-88.2	88.2	100	88.2
-88.3	88.3	100	88.3
-88.4	88.4	100	88.4
-88.5	88.5	100	88.5
-88.6	88.6	100	88.6
-88.7	88.7	100	88.7
-88.8	88.8	100	88.8
-88.9	88.9	100	88.9
-89.0	89.0	100	89
-89.1	89.1	100	89.1
-89.2	89.2	100	89.2
-89.3	89.3	100	89.3
-89.4	89.4	100	89.4
-89.5	89.5	100	89.5
-89.6	89.6	100	89.6
-89.7	89.7	100	89.7
-89.8	89.8	100	89.8
-89.9	89.9	100	89.9
-90.0	90.0	100	90
-90.1	90.1	100	90.1
-90.2	90.2	100	90.2
-90.3	90.3	100	90.3
-90.4	90.4	100	90.4
-90.5	90.5	100	90.5
-90.6	90.6	100	90.6
-90.7	90.7	100	90.7
-90.8	90.8	100	90.8
-90.9	90.9	100	90.9
-91.0	91.0	100	91
-91.1	91.1	100	91.1
-91.2	91.2	100	91.2
-91.3	91.3	100	91.3
-91.4	91.4	100	91.4
-91.5	91.5	100	91.5
-91.6	91.6	100	91.6
-91.7	91.7	100	91.7
-91.8	91.8	100	91.8
-91.9	91.9	100	91.9
-92.0	92.0	100	92
-92.1	92.1	100	92.1
-92.2	92.2	100	92.2
-92.3	92.3	100	92.3
-92.4	92.4	100	92.4
-92.5	92.5	100	92.5
-92.6	92.6	100	92.6
-92.7	92.7	100	92.7
-92.8	92.8	100	92.8
-92.9	92.9	100	92.9
-93.0	93.0	100	93
-93.1	93.1	100	93.1
-93.2	93.2	100	93.2
-93.3	93.3	100	93.3
-93.4	93.4	100	93.4
-93.5	93.5	100	93.5
-93.6	93.6	100	93.6
-93.7	93.7	100	93.7
-93.8	93.8	100	93.8
-93.9	93.9	100	93.9
-94.0	94.0	100	94
-94.1	94.1	100	94.1
-94.2	94.2	100	94.2
-94.3	94.3	100	94.3
-94.4	94.4	100	94.4
-94.5	94.5	100	94.5
-94.6	94.6	100	94.6
-94.7	94.7	100	94.7
-94.8	94.8	100	94.8
-94.9	94.9	100	94.9
-95.0	95.0	100	95
-95.1	95.1	100	95.1
-95.2	95.2	100	95.2
-95.3	95.3	100	95.3
-95.4	95.4	100	95.4
-95.5	95.5	100	95.5
-95.6	95.6	100	95.6
-95.7	95.7	100	95.7
-95.8	95.8	100	95.8
-95.9	95.9	100	95.9
-96.0	96.0	100	96
-96.1	96.1	100	96.1
-96.2	96.2	100	96.2
-96.3	96.3	100	96.3
-96.4	96.4	100	96.4
-96.5	96.5	100	96.5
-96.6	96.6	100	96.6
-96.7	96.7	100	96.7
-96.8	96.8	100	96.8
-96.9	96.9	100	96.9
-97.0	97.0	100	97
-97.1	97.1	100	97.1
-97.2	97.2	100	97.2
-97.3	97.3	100	97.3
-97.4	97.4	100	97.4
-97.5	97.5	100	97.5
-97.6	97.6	100	97.6
-97.7	97.7	100	97.7
-97.8	97.8	100	97.8
-97.9	97.9	100	97.9
-98.0	98.0	100	98
-98.1	98.1	100	98.1
-98.2	98.2	100	98.2
-98.3	98.3	100	98.3
-98.4	98.4	100	98.4
-98.5	98.5	100	98.5
-98.6	98.6	100	98.6
-98.7	98.7	100	98.7
-98.8	98.8	100	98.8
-98.9	98.9	100	98.9
-99.0	99.0	100	99
-99.1	99.1	100	99.1
-99.2	99.2	100	99.2
-99.3	99.3	100	99.3
-99.4	99.4	100	99.4
-99.5	99.5	100	99.5
-99.6	99.6	100	99.6
-99.7	99.7	100	99.7
-99.8	99.8	100	99.8
-99.9	99.9	100	99.9
-100.0	100.0	100	100
diff --git a/tests/resources/analysis_results/ref_reports/XORRegression.txt b/tests/resources/analysis_results/ref_reports/XORRegression.txt
deleted file mode 100644
index 3ada5c42..00000000
--- a/tests/resources/analysis_results/ref_reports/XORRegression.txt
+++ /dev/null
@@ -1,2128 +0,0 @@
-Tool	Khiops
-Version	10.0.6i
-Short description	
-
-
-Report	Preparation
-
-Dictionary	XOR
-Variables
-	Numerical	2
-	Total	2
-Database	./XOR.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	68
-Learning task	Regression analysis
-Target variable	Target
-Target descriptive stats
-	Values	4
-	Min	0
-	Max	3
-	Mean	1.279411765
-	Std dev	1.198597075
-	Missing number	0
-Evaluated variables	1
-Informative variables	1
-Max number of constructed variables	0
-Max number of trees	0
-Max number of variable pairs	0
-Discretization	MODL
-Value grouping	MODL
-Null model
-	Construction cost	0.693147
-	Preparation cost	0
-	Data cost	221.956
-
-Variable statistics
-Rank	Name	Type	Level	Target parts	Parts	Values	Min	Max	Mean	StdDev	Missing number	Mode	Mode frequency	Construction cost	Preparation cost	Data cost	Derivation rule
-R1	Source	Numerical	0.159413	2	2	4	0	3	1.308823529	1.127951722	0			0.693147	8.5745	177.889	
-
-Detailed variable statistics
-
-Rank	R1	Source	Numerical
-
-Data grid	Supervised
-Dimensions
-Source	Numerical	Intervals
-	]-inf;1.5]	0	1.5
-	]1.5;+inf[	1.5	3
-Target	Numerical	Intervals
-	]-inf;1.5]	0	1.5
-	]1.5;+inf[	1.5	3
-Cells
-Interval	]-inf;1.5]	]1.5;+inf[	Interest
-]-inf;1.5]	39	0	0.467322
-]1.5;+inf[	0	29	0.532678
-
-
-Report	Modeling
-
-Dictionary	XOR
-Database	./XOR.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Learning task	Regression analysis
-Target variable	Target
-
-Trained predictors
-Rank	Type	Family	Name	Variables
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	1
-
-Detailed trained predictors
-
-Rank	R1
-
-Selected variables
-Prepared name	Name	Level	Weight	Importance
-PSource	Source	0.159413	1	0.399265
-
-
-Report	Evaluation	Train
-
-Dictionary	XOR
-Database	./XOR.txt
-Sample percentage	70
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-Instances	68
-Learning task	Regression analysis
-Target variable	Target
-
-Predictors performance
-Rank	Type	Family	Name	RMSE	MAE	NLPD	RankRMSE	RankMAE	RankNLPD
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	0.482752	0.467373	-0.265926	0.123615	0.11851	-0.678345
-
-Predictors detailed performance
-
-REC curves
-Size	Selective Naive Bayes
-0.0	0
-0.1	0
-0.2	0
-0.3	0
-0.4	0
-0.5	0
-0.6	0
-0.7	0
-0.8	0
-0.9	0
-1.0	0
-1.1	0
-1.2	0
-1.3	0
-1.4	0
-1.5	0
-1.6	0
-1.7	0
-1.8	0
-1.9	0
-2.0	0
-2.1	0
-2.2	0
-2.3	0
-2.4	0
-2.5	0
-2.6	0
-2.7	0
-2.8	0
-2.9	0
-3.0	0
-3.1	0
-3.2	0
-3.3	0
-3.4	0
-3.5	0
-3.6	0
-3.7	0
-3.8	0
-3.9	0
-4.0	0
-4.1	0
-4.2	0
-4.3	0
-4.4	0
-4.5	0
-4.6	0
-4.7	0
-4.8	0
-4.9	0
-5.0	0
-5.1	0
-5.2	0
-5.3	0
-5.4	0
-5.5	0
-5.6	0
-5.7	0
-5.8	0
-5.9	0
-6.0	0
-6.1	0
-6.2	0
-6.3	0
-6.4	0
-6.5	0
-6.6	0
-6.7	0
-6.8	0
-6.9	0
-7.0	0
-7.1	0
-7.2	0
-7.3	0
-7.4	0
-7.5	0
-7.6	0
-7.7	0
-7.8	0
-7.9	0
-8.0	0
-8.1	0
-8.2	0
-8.3	0
-8.4	0
-8.5	0
-8.6	0
-8.7	0
-8.8	0
-8.9	0
-9.0	0
-9.1	0
-9.2	0
-9.3	0
-9.4	0
-9.5	0
-9.6	0
-9.7	0
-9.8	61.7647
-9.9	61.7647
-10.0	61.7647
-10.1	61.7647
-10.2	61.7647
-10.3	61.7647
-10.4	61.7647
-10.5	61.7647
-10.6	61.7647
-10.7	61.7647
-10.8	61.7647
-10.9	61.7647
-11.0	61.7647
-11.1	61.7647
-11.2	61.7647
-11.3	61.7647
-11.4	61.7647
-11.5	61.7647
-11.6	80.8824
-11.7	80.8824
-11.8	80.8824
-11.9	80.8824
-12.0	80.8824
-12.1	80.8824
-12.2	80.8824
-12.3	80.8824
-12.4	80.8824
-12.5	80.8824
-12.6	80.8824
-12.7	80.8824
-12.8	80.8824
-12.9	80.8824
-13.0	80.8824
-13.1	80.8824
-13.2	80.8824
-13.3	80.8824
-13.4	80.8824
-13.5	80.8824
-13.6	80.8824
-13.7	80.8824
-13.8	80.8824
-13.9	80.8824
-14.0	80.8824
-14.1	80.8824
-14.2	80.8824
-14.3	80.8824
-14.4	80.8824
-14.5	80.8824
-14.6	80.8824
-14.7	80.8824
-14.8	80.8824
-14.9	80.8824
-15.0	80.8824
-15.1	80.8824
-15.2	80.8824
-15.3	80.8824
-15.4	80.8824
-15.5	80.8824
-15.6	80.8824
-15.7	80.8824
-15.8	80.8824
-15.9	80.8824
-16.0	80.8824
-16.1	80.8824
-16.2	80.8824
-16.3	80.8824
-16.4	80.8824
-16.5	80.8824
-16.6	80.8824
-16.7	80.8824
-16.8	80.8824
-16.9	80.8824
-17.0	80.8824
-17.1	80.8824
-17.2	80.8824
-17.3	80.8824
-17.4	80.8824
-17.5	80.8824
-17.6	80.8824
-17.7	80.8824
-17.8	80.8824
-17.9	80.8824
-18.0	80.8824
-18.1	80.8824
-18.2	80.8824
-18.3	80.8824
-18.4	80.8824
-18.5	80.8824
-18.6	80.8824
-18.7	80.8824
-18.8	80.8824
-18.9	80.8824
-19.0	100
-19.1	100
-19.2	100
-19.3	100
-19.4	100
-19.5	100
-19.6	100
-19.7	100
-19.8	100
-19.9	100
-20.0	100
-20.1	100
-20.2	100
-20.3	100
-20.4	100
-20.5	100
-20.6	100
-20.7	100
-20.8	100
-20.9	100
-21.0	100
-21.1	100
-21.2	100
-21.3	100
-21.4	100
-21.5	100
-21.6	100
-21.7	100
-21.8	100
-21.9	100
-22.0	100
-22.1	100
-22.2	100
-22.3	100
-22.4	100
-22.5	100
-22.6	100
-22.7	100
-22.8	100
-22.9	100
-23.0	100
-23.1	100
-23.2	100
-23.3	100
-23.4	100
-23.5	100
-23.6	100
-23.7	100
-23.8	100
-23.9	100
-24.0	100
-24.1	100
-24.2	100
-24.3	100
-24.4	100
-24.5	100
-24.6	100
-24.7	100
-24.8	100
-24.9	100
-25.0	100
-25.1	100
-25.2	100
-25.3	100
-25.4	100
-25.5	100
-25.6	100
-25.7	100
-25.8	100
-25.9	100
-26.0	100
-26.1	100
-26.2	100
-26.3	100
-26.4	100
-26.5	100
-26.6	100
-26.7	100
-26.8	100
-26.9	100
-27.0	100
-27.1	100
-27.2	100
-27.3	100
-27.4	100
-27.5	100
-27.6	100
-27.7	100
-27.8	100
-27.9	100
-28.0	100
-28.1	100
-28.2	100
-28.3	100
-28.4	100
-28.5	100
-28.6	100
-28.7	100
-28.8	100
-28.9	100
-29.0	100
-29.1	100
-29.2	100
-29.3	100
-29.4	100
-29.5	100
-29.6	100
-29.7	100
-29.8	100
-29.9	100
-30.0	100
-30.1	100
-30.2	100
-30.3	100
-30.4	100
-30.5	100
-30.6	100
-30.7	100
-30.8	100
-30.9	100
-31.0	100
-31.1	100
-31.2	100
-31.3	100
-31.4	100
-31.5	100
-31.6	100
-31.7	100
-31.8	100
-31.9	100
-32.0	100
-32.1	100
-32.2	100
-32.3	100
-32.4	100
-32.5	100
-32.6	100
-32.7	100
-32.8	100
-32.9	100
-33.0	100
-33.1	100
-33.2	100
-33.3	100
-33.4	100
-33.5	100
-33.6	100
-33.7	100
-33.8	100
-33.9	100
-34.0	100
-34.1	100
-34.2	100
-34.3	100
-34.4	100
-34.5	100
-34.6	100
-34.7	100
-34.8	100
-34.9	100
-35.0	100
-35.1	100
-35.2	100
-35.3	100
-35.4	100
-35.5	100
-35.6	100
-35.7	100
-35.8	100
-35.9	100
-36.0	100
-36.1	100
-36.2	100
-36.3	100
-36.4	100
-36.5	100
-36.6	100
-36.7	100
-36.8	100
-36.9	100
-37.0	100
-37.1	100
-37.2	100
-37.3	100
-37.4	100
-37.5	100
-37.6	100
-37.7	100
-37.8	100
-37.9	100
-38.0	100
-38.1	100
-38.2	100
-38.3	100
-38.4	100
-38.5	100
-38.6	100
-38.7	100
-38.8	100
-38.9	100
-39.0	100
-39.1	100
-39.2	100
-39.3	100
-39.4	100
-39.5	100
-39.6	100
-39.7	100
-39.8	100
-39.9	100
-40.0	100
-40.1	100
-40.2	100
-40.3	100
-40.4	100
-40.5	100
-40.6	100
-40.7	100
-40.8	100
-40.9	100
-41.0	100
-41.1	100
-41.2	100
-41.3	100
-41.4	100
-41.5	100
-41.6	100
-41.7	100
-41.8	100
-41.9	100
-42.0	100
-42.1	100
-42.2	100
-42.3	100
-42.4	100
-42.5	100
-42.6	100
-42.7	100
-42.8	100
-42.9	100
-43.0	100
-43.1	100
-43.2	100
-43.3	100
-43.4	100
-43.5	100
-43.6	100
-43.7	100
-43.8	100
-43.9	100
-44.0	100
-44.1	100
-44.2	100
-44.3	100
-44.4	100
-44.5	100
-44.6	100
-44.7	100
-44.8	100
-44.9	100
-45.0	100
-45.1	100
-45.2	100
-45.3	100
-45.4	100
-45.5	100
-45.6	100
-45.7	100
-45.8	100
-45.9	100
-46.0	100
-46.1	100
-46.2	100
-46.3	100
-46.4	100
-46.5	100
-46.6	100
-46.7	100
-46.8	100
-46.9	100
-47.0	100
-47.1	100
-47.2	100
-47.3	100
-47.4	100
-47.5	100
-47.6	100
-47.7	100
-47.8	100
-47.9	100
-48.0	100
-48.1	100
-48.2	100
-48.3	100
-48.4	100
-48.5	100
-48.6	100
-48.7	100
-48.8	100
-48.9	100
-49.0	100
-49.1	100
-49.2	100
-49.3	100
-49.4	100
-49.5	100
-49.6	100
-49.7	100
-49.8	100
-49.9	100
-50.0	100
-50.1	100
-50.2	100
-50.3	100
-50.4	100
-50.5	100
-50.6	100
-50.7	100
-50.8	100
-50.9	100
-51.0	100
-51.1	100
-51.2	100
-51.3	100
-51.4	100
-51.5	100
-51.6	100
-51.7	100
-51.8	100
-51.9	100
-52.0	100
-52.1	100
-52.2	100
-52.3	100
-52.4	100
-52.5	100
-52.6	100
-52.7	100
-52.8	100
-52.9	100
-53.0	100
-53.1	100
-53.2	100
-53.3	100
-53.4	100
-53.5	100
-53.6	100
-53.7	100
-53.8	100
-53.9	100
-54.0	100
-54.1	100
-54.2	100
-54.3	100
-54.4	100
-54.5	100
-54.6	100
-54.7	100
-54.8	100
-54.9	100
-55.0	100
-55.1	100
-55.2	100
-55.3	100
-55.4	100
-55.5	100
-55.6	100
-55.7	100
-55.8	100
-55.9	100
-56.0	100
-56.1	100
-56.2	100
-56.3	100
-56.4	100
-56.5	100
-56.6	100
-56.7	100
-56.8	100
-56.9	100
-57.0	100
-57.1	100
-57.2	100
-57.3	100
-57.4	100
-57.5	100
-57.6	100
-57.7	100
-57.8	100
-57.9	100
-58.0	100
-58.1	100
-58.2	100
-58.3	100
-58.4	100
-58.5	100
-58.6	100
-58.7	100
-58.8	100
-58.9	100
-59.0	100
-59.1	100
-59.2	100
-59.3	100
-59.4	100
-59.5	100
-59.6	100
-59.7	100
-59.8	100
-59.9	100
-60.0	100
-60.1	100
-60.2	100
-60.3	100
-60.4	100
-60.5	100
-60.6	100
-60.7	100
-60.8	100
-60.9	100
-61.0	100
-61.1	100
-61.2	100
-61.3	100
-61.4	100
-61.5	100
-61.6	100
-61.7	100
-61.8	100
-61.9	100
-62.0	100
-62.1	100
-62.2	100
-62.3	100
-62.4	100
-62.5	100
-62.6	100
-62.7	100
-62.8	100
-62.9	100
-63.0	100
-63.1	100
-63.2	100
-63.3	100
-63.4	100
-63.5	100
-63.6	100
-63.7	100
-63.8	100
-63.9	100
-64.0	100
-64.1	100
-64.2	100
-64.3	100
-64.4	100
-64.5	100
-64.6	100
-64.7	100
-64.8	100
-64.9	100
-65.0	100
-65.1	100
-65.2	100
-65.3	100
-65.4	100
-65.5	100
-65.6	100
-65.7	100
-65.8	100
-65.9	100
-66.0	100
-66.1	100
-66.2	100
-66.3	100
-66.4	100
-66.5	100
-66.6	100
-66.7	100
-66.8	100
-66.9	100
-67.0	100
-67.1	100
-67.2	100
-67.3	100
-67.4	100
-67.5	100
-67.6	100
-67.7	100
-67.8	100
-67.9	100
-68.0	100
-68.1	100
-68.2	100
-68.3	100
-68.4	100
-68.5	100
-68.6	100
-68.7	100
-68.8	100
-68.9	100
-69.0	100
-69.1	100
-69.2	100
-69.3	100
-69.4	100
-69.5	100
-69.6	100
-69.7	100
-69.8	100
-69.9	100
-70.0	100
-70.1	100
-70.2	100
-70.3	100
-70.4	100
-70.5	100
-70.6	100
-70.7	100
-70.8	100
-70.9	100
-71.0	100
-71.1	100
-71.2	100
-71.3	100
-71.4	100
-71.5	100
-71.6	100
-71.7	100
-71.8	100
-71.9	100
-72.0	100
-72.1	100
-72.2	100
-72.3	100
-72.4	100
-72.5	100
-72.6	100
-72.7	100
-72.8	100
-72.9	100
-73.0	100
-73.1	100
-73.2	100
-73.3	100
-73.4	100
-73.5	100
-73.6	100
-73.7	100
-73.8	100
-73.9	100
-74.0	100
-74.1	100
-74.2	100
-74.3	100
-74.4	100
-74.5	100
-74.6	100
-74.7	100
-74.8	100
-74.9	100
-75.0	100
-75.1	100
-75.2	100
-75.3	100
-75.4	100
-75.5	100
-75.6	100
-75.7	100
-75.8	100
-75.9	100
-76.0	100
-76.1	100
-76.2	100
-76.3	100
-76.4	100
-76.5	100
-76.6	100
-76.7	100
-76.8	100
-76.9	100
-77.0	100
-77.1	100
-77.2	100
-77.3	100
-77.4	100
-77.5	100
-77.6	100
-77.7	100
-77.8	100
-77.9	100
-78.0	100
-78.1	100
-78.2	100
-78.3	100
-78.4	100
-78.5	100
-78.6	100
-78.7	100
-78.8	100
-78.9	100
-79.0	100
-79.1	100
-79.2	100
-79.3	100
-79.4	100
-79.5	100
-79.6	100
-79.7	100
-79.8	100
-79.9	100
-80.0	100
-80.1	100
-80.2	100
-80.3	100
-80.4	100
-80.5	100
-80.6	100
-80.7	100
-80.8	100
-80.9	100
-81.0	100
-81.1	100
-81.2	100
-81.3	100
-81.4	100
-81.5	100
-81.6	100
-81.7	100
-81.8	100
-81.9	100
-82.0	100
-82.1	100
-82.2	100
-82.3	100
-82.4	100
-82.5	100
-82.6	100
-82.7	100
-82.8	100
-82.9	100
-83.0	100
-83.1	100
-83.2	100
-83.3	100
-83.4	100
-83.5	100
-83.6	100
-83.7	100
-83.8	100
-83.9	100
-84.0	100
-84.1	100
-84.2	100
-84.3	100
-84.4	100
-84.5	100
-84.6	100
-84.7	100
-84.8	100
-84.9	100
-85.0	100
-85.1	100
-85.2	100
-85.3	100
-85.4	100
-85.5	100
-85.6	100
-85.7	100
-85.8	100
-85.9	100
-86.0	100
-86.1	100
-86.2	100
-86.3	100
-86.4	100
-86.5	100
-86.6	100
-86.7	100
-86.8	100
-86.9	100
-87.0	100
-87.1	100
-87.2	100
-87.3	100
-87.4	100
-87.5	100
-87.6	100
-87.7	100
-87.8	100
-87.9	100
-88.0	100
-88.1	100
-88.2	100
-88.3	100
-88.4	100
-88.5	100
-88.6	100
-88.7	100
-88.8	100
-88.9	100
-89.0	100
-89.1	100
-89.2	100
-89.3	100
-89.4	100
-89.5	100
-89.6	100
-89.7	100
-89.8	100
-89.9	100
-90.0	100
-90.1	100
-90.2	100
-90.3	100
-90.4	100
-90.5	100
-90.6	100
-90.7	100
-90.8	100
-90.9	100
-91.0	100
-91.1	100
-91.2	100
-91.3	100
-91.4	100
-91.5	100
-91.6	100
-91.7	100
-91.8	100
-91.9	100
-92.0	100
-92.1	100
-92.2	100
-92.3	100
-92.4	100
-92.5	100
-92.6	100
-92.7	100
-92.8	100
-92.9	100
-93.0	100
-93.1	100
-93.2	100
-93.3	100
-93.4	100
-93.5	100
-93.6	100
-93.7	100
-93.8	100
-93.9	100
-94.0	100
-94.1	100
-94.2	100
-94.3	100
-94.4	100
-94.5	100
-94.6	100
-94.7	100
-94.8	100
-94.9	100
-95.0	100
-95.1	100
-95.2	100
-95.3	100
-95.4	100
-95.5	100
-95.6	100
-95.7	100
-95.8	100
-95.9	100
-96.0	100
-96.1	100
-96.2	100
-96.3	100
-96.4	100
-96.5	100
-96.6	100
-96.7	100
-96.8	100
-96.9	100
-97.0	100
-97.1	100
-97.2	100
-97.3	100
-97.4	100
-97.5	100
-97.6	100
-97.7	100
-97.8	100
-97.9	100
-98.0	100
-98.1	100
-98.2	100
-98.3	100
-98.4	100
-98.5	100
-98.6	100
-98.7	100
-98.8	100
-98.9	100
-99.0	100
-99.1	100
-99.2	100
-99.3	100
-99.4	100
-99.5	100
-99.6	100
-99.7	100
-99.8	100
-99.9	100
-100.0	100
-
-
-Report	Evaluation	Test
-
-Dictionary	XOR
-Database	./XOR.txt
-Sample percentage	70
-Sampling mode	Exclude sample
-Selection variable	
-Selection value	
-Instances	32
-Learning task	Regression analysis
-Target variable	Target
-
-Predictors performance
-Rank	Type	Family	Name	RMSE	MAE	NLPD	RankRMSE	RankMAE	RankNLPD
-R1	Regressor	Selective Naive Bayes	Selective Naive Bayes	0.515771	0.501839	0.206934	0.132875	0.12679	-0.700041
-
-Predictors detailed performance
-
-REC curves
-Size	Selective Naive Bayes
-0.0	0
-0.1	0
-0.2	0
-0.3	0
-0.4	0
-0.5	0
-0.6	0
-0.7	0
-0.8	0
-0.9	0
-1.0	0
-1.1	0
-1.2	0
-1.3	0
-1.4	0
-1.5	0
-1.6	0
-1.7	0
-1.8	0
-1.9	0
-2.0	0
-2.1	0
-2.2	0
-2.3	0
-2.4	0
-2.5	0
-2.6	0
-2.7	0
-2.8	0
-2.9	0
-3.0	0
-3.1	0
-3.2	0
-3.3	0
-3.4	0
-3.5	0
-3.6	0
-3.7	0
-3.8	0
-3.9	0
-4.0	0
-4.1	0
-4.2	0
-4.3	0
-4.4	0
-4.5	0
-4.6	0
-4.7	0
-4.8	0
-4.9	0
-5.0	0
-5.1	0
-5.2	0
-5.3	0
-5.4	0
-5.5	0
-5.6	0
-5.7	0
-5.8	0
-5.9	0
-6.0	0
-6.1	0
-6.2	0
-6.3	0
-6.4	0
-6.5	0
-6.6	0
-6.7	0
-6.8	0
-6.9	0
-7.0	0
-7.1	0
-7.2	0
-7.3	0
-7.4	0
-7.5	0
-7.6	0
-7.7	0
-7.8	0
-7.9	0
-8.0	0
-8.1	0
-8.2	0
-8.3	0
-8.4	0
-8.5	0
-8.6	0
-8.7	0
-8.8	0
-8.9	0
-9.0	0
-9.1	0
-9.2	0
-9.3	0
-9.4	0
-9.5	0
-9.6	0
-9.7	0
-9.8	53.125
-9.9	53.125
-10.0	53.125
-10.1	53.125
-10.2	53.125
-10.3	53.125
-10.4	53.125
-10.5	53.125
-10.6	53.125
-10.7	53.125
-10.8	53.125
-10.9	53.125
-11.0	53.125
-11.1	53.125
-11.2	53.125
-11.3	53.125
-11.4	53.125
-11.5	53.125
-11.6	71.875
-11.7	71.875
-11.8	71.875
-11.9	71.875
-12.0	71.875
-12.1	71.875
-12.2	71.875
-12.3	71.875
-12.4	71.875
-12.5	71.875
-12.6	71.875
-12.7	71.875
-12.8	71.875
-12.9	71.875
-13.0	71.875
-13.1	71.875
-13.2	71.875
-13.3	71.875
-13.4	71.875
-13.5	71.875
-13.6	71.875
-13.7	71.875
-13.8	71.875
-13.9	71.875
-14.0	71.875
-14.1	71.875
-14.2	71.875
-14.3	71.875
-14.4	71.875
-14.5	71.875
-14.6	71.875
-14.7	71.875
-14.8	71.875
-14.9	71.875
-15.0	71.875
-15.1	71.875
-15.2	71.875
-15.3	71.875
-15.4	71.875
-15.5	71.875
-15.6	71.875
-15.7	71.875
-15.8	71.875
-15.9	71.875
-16.0	71.875
-16.1	71.875
-16.2	71.875
-16.3	71.875
-16.4	71.875
-16.5	71.875
-16.6	71.875
-16.7	71.875
-16.8	71.875
-16.9	71.875
-17.0	71.875
-17.1	71.875
-17.2	71.875
-17.3	71.875
-17.4	71.875
-17.5	71.875
-17.6	71.875
-17.7	71.875
-17.8	71.875
-17.9	71.875
-18.0	71.875
-18.1	71.875
-18.2	71.875
-18.3	71.875
-18.4	71.875
-18.5	71.875
-18.6	71.875
-18.7	71.875
-18.8	71.875
-18.9	71.875
-19.0	100
-19.1	100
-19.2	100
-19.3	100
-19.4	100
-19.5	100
-19.6	100
-19.7	100
-19.8	100
-19.9	100
-20.0	100
-20.1	100
-20.2	100
-20.3	100
-20.4	100
-20.5	100
-20.6	100
-20.7	100
-20.8	100
-20.9	100
-21.0	100
-21.1	100
-21.2	100
-21.3	100
-21.4	100
-21.5	100
-21.6	100
-21.7	100
-21.8	100
-21.9	100
-22.0	100
-22.1	100
-22.2	100
-22.3	100
-22.4	100
-22.5	100
-22.6	100
-22.7	100
-22.8	100
-22.9	100
-23.0	100
-23.1	100
-23.2	100
-23.3	100
-23.4	100
-23.5	100
-23.6	100
-23.7	100
-23.8	100
-23.9	100
-24.0	100
-24.1	100
-24.2	100
-24.3	100
-24.4	100
-24.5	100
-24.6	100
-24.7	100
-24.8	100
-24.9	100
-25.0	100
-25.1	100
-25.2	100
-25.3	100
-25.4	100
-25.5	100
-25.6	100
-25.7	100
-25.8	100
-25.9	100
-26.0	100
-26.1	100
-26.2	100
-26.3	100
-26.4	100
-26.5	100
-26.6	100
-26.7	100
-26.8	100
-26.9	100
-27.0	100
-27.1	100
-27.2	100
-27.3	100
-27.4	100
-27.5	100
-27.6	100
-27.7	100
-27.8	100
-27.9	100
-28.0	100
-28.1	100
-28.2	100
-28.3	100
-28.4	100
-28.5	100
-28.6	100
-28.7	100
-28.8	100
-28.9	100
-29.0	100
-29.1	100
-29.2	100
-29.3	100
-29.4	100
-29.5	100
-29.6	100
-29.7	100
-29.8	100
-29.9	100
-30.0	100
-30.1	100
-30.2	100
-30.3	100
-30.4	100
-30.5	100
-30.6	100
-30.7	100
-30.8	100
-30.9	100
-31.0	100
-31.1	100
-31.2	100
-31.3	100
-31.4	100
-31.5	100
-31.6	100
-31.7	100
-31.8	100
-31.9	100
-32.0	100
-32.1	100
-32.2	100
-32.3	100
-32.4	100
-32.5	100
-32.6	100
-32.7	100
-32.8	100
-32.9	100
-33.0	100
-33.1	100
-33.2	100
-33.3	100
-33.4	100
-33.5	100
-33.6	100
-33.7	100
-33.8	100
-33.9	100
-34.0	100
-34.1	100
-34.2	100
-34.3	100
-34.4	100
-34.5	100
-34.6	100
-34.7	100
-34.8	100
-34.9	100
-35.0	100
-35.1	100
-35.2	100
-35.3	100
-35.4	100
-35.5	100
-35.6	100
-35.7	100
-35.8	100
-35.9	100
-36.0	100
-36.1	100
-36.2	100
-36.3	100
-36.4	100
-36.5	100
-36.6	100
-36.7	100
-36.8	100
-36.9	100
-37.0	100
-37.1	100
-37.2	100
-37.3	100
-37.4	100
-37.5	100
-37.6	100
-37.7	100
-37.8	100
-37.9	100
-38.0	100
-38.1	100
-38.2	100
-38.3	100
-38.4	100
-38.5	100
-38.6	100
-38.7	100
-38.8	100
-38.9	100
-39.0	100
-39.1	100
-39.2	100
-39.3	100
-39.4	100
-39.5	100
-39.6	100
-39.7	100
-39.8	100
-39.9	100
-40.0	100
-40.1	100
-40.2	100
-40.3	100
-40.4	100
-40.5	100
-40.6	100
-40.7	100
-40.8	100
-40.9	100
-41.0	100
-41.1	100
-41.2	100
-41.3	100
-41.4	100
-41.5	100
-41.6	100
-41.7	100
-41.8	100
-41.9	100
-42.0	100
-42.1	100
-42.2	100
-42.3	100
-42.4	100
-42.5	100
-42.6	100
-42.7	100
-42.8	100
-42.9	100
-43.0	100
-43.1	100
-43.2	100
-43.3	100
-43.4	100
-43.5	100
-43.6	100
-43.7	100
-43.8	100
-43.9	100
-44.0	100
-44.1	100
-44.2	100
-44.3	100
-44.4	100
-44.5	100
-44.6	100
-44.7	100
-44.8	100
-44.9	100
-45.0	100
-45.1	100
-45.2	100
-45.3	100
-45.4	100
-45.5	100
-45.6	100
-45.7	100
-45.8	100
-45.9	100
-46.0	100
-46.1	100
-46.2	100
-46.3	100
-46.4	100
-46.5	100
-46.6	100
-46.7	100
-46.8	100
-46.9	100
-47.0	100
-47.1	100
-47.2	100
-47.3	100
-47.4	100
-47.5	100
-47.6	100
-47.7	100
-47.8	100
-47.9	100
-48.0	100
-48.1	100
-48.2	100
-48.3	100
-48.4	100
-48.5	100
-48.6	100
-48.7	100
-48.8	100
-48.9	100
-49.0	100
-49.1	100
-49.2	100
-49.3	100
-49.4	100
-49.5	100
-49.6	100
-49.7	100
-49.8	100
-49.9	100
-50.0	100
-50.1	100
-50.2	100
-50.3	100
-50.4	100
-50.5	100
-50.6	100
-50.7	100
-50.8	100
-50.9	100
-51.0	100
-51.1	100
-51.2	100
-51.3	100
-51.4	100
-51.5	100
-51.6	100
-51.7	100
-51.8	100
-51.9	100
-52.0	100
-52.1	100
-52.2	100
-52.3	100
-52.4	100
-52.5	100
-52.6	100
-52.7	100
-52.8	100
-52.9	100
-53.0	100
-53.1	100
-53.2	100
-53.3	100
-53.4	100
-53.5	100
-53.6	100
-53.7	100
-53.8	100
-53.9	100
-54.0	100
-54.1	100
-54.2	100
-54.3	100
-54.4	100
-54.5	100
-54.6	100
-54.7	100
-54.8	100
-54.9	100
-55.0	100
-55.1	100
-55.2	100
-55.3	100
-55.4	100
-55.5	100
-55.6	100
-55.7	100
-55.8	100
-55.9	100
-56.0	100
-56.1	100
-56.2	100
-56.3	100
-56.4	100
-56.5	100
-56.6	100
-56.7	100
-56.8	100
-56.9	100
-57.0	100
-57.1	100
-57.2	100
-57.3	100
-57.4	100
-57.5	100
-57.6	100
-57.7	100
-57.8	100
-57.9	100
-58.0	100
-58.1	100
-58.2	100
-58.3	100
-58.4	100
-58.5	100
-58.6	100
-58.7	100
-58.8	100
-58.9	100
-59.0	100
-59.1	100
-59.2	100
-59.3	100
-59.4	100
-59.5	100
-59.6	100
-59.7	100
-59.8	100
-59.9	100
-60.0	100
-60.1	100
-60.2	100
-60.3	100
-60.4	100
-60.5	100
-60.6	100
-60.7	100
-60.8	100
-60.9	100
-61.0	100
-61.1	100
-61.2	100
-61.3	100
-61.4	100
-61.5	100
-61.6	100
-61.7	100
-61.8	100
-61.9	100
-62.0	100
-62.1	100
-62.2	100
-62.3	100
-62.4	100
-62.5	100
-62.6	100
-62.7	100
-62.8	100
-62.9	100
-63.0	100
-63.1	100
-63.2	100
-63.3	100
-63.4	100
-63.5	100
-63.6	100
-63.7	100
-63.8	100
-63.9	100
-64.0	100
-64.1	100
-64.2	100
-64.3	100
-64.4	100
-64.5	100
-64.6	100
-64.7	100
-64.8	100
-64.9	100
-65.0	100
-65.1	100
-65.2	100
-65.3	100
-65.4	100
-65.5	100
-65.6	100
-65.7	100
-65.8	100
-65.9	100
-66.0	100
-66.1	100
-66.2	100
-66.3	100
-66.4	100
-66.5	100
-66.6	100
-66.7	100
-66.8	100
-66.9	100
-67.0	100
-67.1	100
-67.2	100
-67.3	100
-67.4	100
-67.5	100
-67.6	100
-67.7	100
-67.8	100
-67.9	100
-68.0	100
-68.1	100
-68.2	100
-68.3	100
-68.4	100
-68.5	100
-68.6	100
-68.7	100
-68.8	100
-68.9	100
-69.0	100
-69.1	100
-69.2	100
-69.3	100
-69.4	100
-69.5	100
-69.6	100
-69.7	100
-69.8	100
-69.9	100
-70.0	100
-70.1	100
-70.2	100
-70.3	100
-70.4	100
-70.5	100
-70.6	100
-70.7	100
-70.8	100
-70.9	100
-71.0	100
-71.1	100
-71.2	100
-71.3	100
-71.4	100
-71.5	100
-71.6	100
-71.7	100
-71.8	100
-71.9	100
-72.0	100
-72.1	100
-72.2	100
-72.3	100
-72.4	100
-72.5	100
-72.6	100
-72.7	100
-72.8	100
-72.9	100
-73.0	100
-73.1	100
-73.2	100
-73.3	100
-73.4	100
-73.5	100
-73.6	100
-73.7	100
-73.8	100
-73.9	100
-74.0	100
-74.1	100
-74.2	100
-74.3	100
-74.4	100
-74.5	100
-74.6	100
-74.7	100
-74.8	100
-74.9	100
-75.0	100
-75.1	100
-75.2	100
-75.3	100
-75.4	100
-75.5	100
-75.6	100
-75.7	100
-75.8	100
-75.9	100
-76.0	100
-76.1	100
-76.2	100
-76.3	100
-76.4	100
-76.5	100
-76.6	100
-76.7	100
-76.8	100
-76.9	100
-77.0	100
-77.1	100
-77.2	100
-77.3	100
-77.4	100
-77.5	100
-77.6	100
-77.7	100
-77.8	100
-77.9	100
-78.0	100
-78.1	100
-78.2	100
-78.3	100
-78.4	100
-78.5	100
-78.6	100
-78.7	100
-78.8	100
-78.9	100
-79.0	100
-79.1	100
-79.2	100
-79.3	100
-79.4	100
-79.5	100
-79.6	100
-79.7	100
-79.8	100
-79.9	100
-80.0	100
-80.1	100
-80.2	100
-80.3	100
-80.4	100
-80.5	100
-80.6	100
-80.7	100
-80.8	100
-80.9	100
-81.0	100
-81.1	100
-81.2	100
-81.3	100
-81.4	100
-81.5	100
-81.6	100
-81.7	100
-81.8	100
-81.9	100
-82.0	100
-82.1	100
-82.2	100
-82.3	100
-82.4	100
-82.5	100
-82.6	100
-82.7	100
-82.8	100
-82.9	100
-83.0	100
-83.1	100
-83.2	100
-83.3	100
-83.4	100
-83.5	100
-83.6	100
-83.7	100
-83.8	100
-83.9	100
-84.0	100
-84.1	100
-84.2	100
-84.3	100
-84.4	100
-84.5	100
-84.6	100
-84.7	100
-84.8	100
-84.9	100
-85.0	100
-85.1	100
-85.2	100
-85.3	100
-85.4	100
-85.5	100
-85.6	100
-85.7	100
-85.8	100
-85.9	100
-86.0	100
-86.1	100
-86.2	100
-86.3	100
-86.4	100
-86.5	100
-86.6	100
-86.7	100
-86.8	100
-86.9	100
-87.0	100
-87.1	100
-87.2	100
-87.3	100
-87.4	100
-87.5	100
-87.6	100
-87.7	100
-87.8	100
-87.9	100
-88.0	100
-88.1	100
-88.2	100
-88.3	100
-88.4	100
-88.5	100
-88.6	100
-88.7	100
-88.8	100
-88.9	100
-89.0	100
-89.1	100
-89.2	100
-89.3	100
-89.4	100
-89.5	100
-89.6	100
-89.7	100
-89.8	100
-89.9	100
-90.0	100
-90.1	100
-90.2	100
-90.3	100
-90.4	100
-90.5	100
-90.6	100
-90.7	100
-90.8	100
-90.9	100
-91.0	100
-91.1	100
-91.2	100
-91.3	100
-91.4	100
-91.5	100
-91.6	100
-91.7	100
-91.8	100
-91.9	100
-92.0	100
-92.1	100
-92.2	100
-92.3	100
-92.4	100
-92.5	100
-92.6	100
-92.7	100
-92.8	100
-92.9	100
-93.0	100
-93.1	100
-93.2	100
-93.3	100
-93.4	100
-93.5	100
-93.6	100
-93.7	100
-93.8	100
-93.9	100
-94.0	100
-94.1	100
-94.2	100
-94.3	100
-94.4	100
-94.5	100
-94.6	100
-94.7	100
-94.8	100
-94.9	100
-95.0	100
-95.1	100
-95.2	100
-95.3	100
-95.4	100
-95.5	100
-95.6	100
-95.7	100
-95.8	100
-95.9	100
-96.0	100
-96.1	100
-96.2	100
-96.3	100
-96.4	100
-96.5	100
-96.6	100
-96.7	100
-96.8	100
-96.9	100
-97.0	100
-97.1	100
-97.2	100
-97.3	100
-97.4	100
-97.5	100
-97.6	100
-97.7	100
-97.8	100
-97.9	100
-98.0	100
-98.1	100
-98.2	100
-98.3	100
-98.4	100
-98.5	100
-98.6	100
-98.7	100
-98.8	100
-98.9	100
-99.0	100
-99.1	100
-99.2	100
-99.3	100
-99.4	100
-99.5	100
-99.6	100
-99.7	100
-99.8	100
-99.9	100
-100.0	100
diff --git a/tests/resources/coclustering_results/ref_reports/Adult.khc b/tests/resources/coclustering_results/ref_reports/Adult.khc
deleted file mode 100644
index 8c4726bb..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult.khc
+++ /dev/null
@@ -1,2350 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	6
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-age	False	Numerical	6	6	48842	1	
-occupation	False	Categorical	7	7	14	1	
-education_num	False	Numerical	4	4	48842	1	
-hours_per_week	False	Numerical	3	3	48842	1	
-marital_status	False	Categorical	3	3	7	1	
-sex	False	Categorical	2	2	2	1	
-
-Coclustering stats
-Instances	48842
-Cells	2218
-Null cost	1723780
-Cost	1689150
-Level	0.02008957059
-Initial dimensions	9
-Frequency variable	
-Dictionary	Adult
-Database	../../../datasets/Adult/Adult.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-
-Bounds
-Name	Min	Max
-age	17	90
-education_num	1	16
-hours_per_week	1	99
-
-Hierarchy	age
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;18.5]	]-inf;23.5]	1457	0.347768	1	1	25
-]18.5;23.5]	]-inf;23.5]	5769	0.883906	1	3	25
-]23.5;29.5]	]-inf;29.5]	7289	1	1	5	25
-]29.5;40.5]	]29.5;59.5]	14116	0.871164	1	7	25
-]40.5;59.5]	]29.5;59.5]	16156	0.848966	1	9	25
-]59.5;+inf[	]29.5;+inf[	4055	0.441664	1	11	25
-]-inf;23.5]	]-inf;29.5]	7226	0.775803	0.974251	2	22
-]-inf;29.5]	]-inf;+inf[	14515	0.888388	0.745479	4	14
-]-inf;+inf[		48842	0.833282	-0.000287731	6	7
-]29.5;59.5]	]29.5;+inf[	30272	0.859317	0.948553	8	20
-]29.5;+inf[	]-inf;+inf[	34327	0.80998	0.850791	10	16
-
-Hierarchy	occupation
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Craft-repair, Transport-moving, Farming-fishing, ...}	B18	10955	1	1	1	25
-{Machine-op-inspct, Handlers-cleaners}	B18	5094	0.695825	1	3	25
-{Prof-specialty}	B12	8981	0.864201	1	5	25
-{Exec-managerial}	B19	6086	0.705213	1	7	25
-{Sales}	B19	5504	0.534419	1	9	25
-{Other-service, Priv-house-serv}	B14	5165	0.723836	1	11	25
-{Adm-clerical, Tech-support}	B14	7057	0.715347	1	13	25
-B18	B5	16049	0.903454	0.988438	2	23
-B5		48842	0.783774	0.383406	4	10
-B12	B7	20571	0.728927	0.889146	6	17
-B19	B12	11590	0.624104	0.994704	8	24
-B7	B5	32793	0.725202	0.583172	10	12
-B14	B7	12222	0.718934	0.93014	12	19
-
-Hierarchy	education_num
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;8.5]	]-inf;9.5]	6408	0.330495	1	1	25
-]8.5;9.5]	]-inf;9.5]	15784	0.671555	1	3	25
-]9.5;12.5]	]-inf;12.5]	14540	1	1	5	25
-]12.5;+inf[	]-inf;+inf[	12110	0.65894	1	7	25
-]-inf;9.5]	]-inf;12.5]	22192	0.573073	0.964171	2	21
-]-inf;12.5]	]-inf;+inf[	36732	0.742068	0.911382	4	18
-]-inf;+inf[		48842	0.721457	0.474326	6	11
-
-Hierarchy	hours_per_week
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;36.5]	]-inf;+inf[	10668	0.604579	1	1	25
-]36.5;43.5]	]36.5;+inf[	24446	1	1	3	25
-]43.5;+inf[	]36.5;+inf[	13728	0.395421	1	5	25
-]-inf;+inf[		48842	0.743704	0.664957	2	13
-]36.5;+inf[	]-inf;+inf[	38174	0.782583	0.808675	4	15
-
-Hierarchy	marital_status
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Never-married, Married-AF-spouse}	E1	16154	1	1	1	25
-{Married-civ-spouse}	E4	22379	0.936208	1	3	25
-{Divorced, Widowed, Separated, ...}	E4	10309	0.730455	1	5	25
-E1		48842	0.913879	0	2	6
-E4	E1	32688	0.871319	0.248722	4	9
-
-Hierarchy	sex
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Female}	F3	16192	1	1	1	25
-{Male}	F3	32650	1	1	3	25
-F3		48842	1	0.227766	2	8
-
-Composition	occupation
-Cluster	Value	Frequency	Typicality
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Craft-repair	6112	1
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Transport-moving	2355	0.573309
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Farming-fishing	1490	0.29446
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Protective-serv	983	0.106369
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Armed-Forces	15	0.0033027
-{Machine-op-inspct, Handlers-cleaners}	Machine-op-inspct	3022	1
-{Machine-op-inspct, Handlers-cleaners}	Handlers-cleaners	2072	0.798568
-{Prof-specialty}	Prof-specialty	8981	1
-{Exec-managerial}	Exec-managerial	6086	1
-{Sales}	Sales	5504	1
-{Other-service, Priv-house-serv}	Other-service	4923	1
-{Other-service, Priv-house-serv}	Priv-house-serv	242	0.111602
-{Adm-clerical, Tech-support}	Adm-clerical	5611	1
-{Adm-clerical, Tech-support}	Tech-support	1446	0.187174
-{Adm-clerical, Tech-support}	 * 	0	0
-
-Composition	marital_status
-Cluster	Value	Frequency	Typicality
-{Never-married, Married-AF-spouse}	Never-married	16117	1
-{Never-married, Married-AF-spouse}	Married-AF-spouse	37	0.00173382
-{Married-civ-spouse}	Married-civ-spouse	22379	1
-{Divorced, Widowed, Separated, ...}	Divorced	6633	1
-{Divorced, Widowed, Separated, ...}	Widowed	1518	0.443082
-{Divorced, Widowed, Separated, ...}	Separated	1530	0.265394
-{Divorced, Widowed, Separated, ...}	Married-spouse-absent	628	0.0718638
-{Divorced, Widowed, Separated, ...}	 * 	0	0
-
-Composition	sex
-Cluster	Value	Frequency	Typicality
-{Female}	Female	16192	1
-{Male}	Male	32650	1
-{Male}	 * 	0	0
-
-Cells
-age	occupation	education_num	hours_per_week	marital_status	sex	Frequency
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	741
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	592
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	569
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	557
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	480
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	457
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	447
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	437
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	408
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	360
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	359
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	358
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	353
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	298
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	295
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	294
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	280
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	275
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	273
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	260
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	239
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	233
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	232
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	225
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	216
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	207
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	204
-]18.5;23.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	197
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	196
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	189
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	184
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	184
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	181
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	179
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	179
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	176
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	174
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	174
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	165
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	164
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	164
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	162
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	160
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	158
-]-inf;18.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	151
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	150
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	150
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	150
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	146
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	145
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	144
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	143
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	142
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	141
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	141
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	140
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	138
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	137
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	136
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	136
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	135
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	128
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	128
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	127
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	126
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	125
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	125
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	123
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	121
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	119
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	118
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	118
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	117
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	116
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	115
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	114
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	111
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	111
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	110
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	110
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	110
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	109
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	109
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	109
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	107
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	106
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	106
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	106
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	106
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	105
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	104
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	104
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	103
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	102
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	102
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	102
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	101
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	101
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	100
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	98
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	98
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	98
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	97
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	97
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	94
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	94
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	93
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	92
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	92
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	92
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	90
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	90
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	89
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	88
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	87
-]18.5;23.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	87
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	87
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	87
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	86
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	86
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	83
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	82
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	80
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	80
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	79
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	79
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	78
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	78
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	77
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	77
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	77
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	76
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	75
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	74
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	74
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	74
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	73
-]18.5;23.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	73
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	73
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	73
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	72
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	72
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	72
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	71
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	71
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	70
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	70
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	69
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	69
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	69
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	69
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	68
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	68
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	68
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	68
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	68
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	67
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	67
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	67
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	66
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	66
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	65
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	65
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	64
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	64
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	64
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	64
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	63
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	63
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	63
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	62
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	62
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	62
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	61
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	61
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	61
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	61
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	61
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	61
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	61
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	61
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	61
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	60
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	60
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	60
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	60
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	60
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	60
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	60
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	59
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	59
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	59
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	59
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	59
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	59
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	59
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	58
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	58
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	58
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	58
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	58
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	58
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	57
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	57
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	57
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	57
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	56
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	56
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	56
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	56
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	56
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	56
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	56
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	55
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	55
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	55
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	55
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	55
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	54
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	54
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	54
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	54
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	54
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	54
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	53
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	53
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	53
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	53
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	53
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	53
-]-inf;18.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	52
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	52
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	52
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	51
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	51
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	51
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	51
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	51
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	50
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	50
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	50
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	50
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	50
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	50
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	49
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	49
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	49
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	49
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	49
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	48
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	48
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	48
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	48
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	48
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	48
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	48
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	47
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	47
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	47
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	46
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	46
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	46
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	46
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	46
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	45
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	45
-]18.5;23.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	44
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	44
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	44
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	44
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	43
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	43
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	43
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	43
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	43
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	43
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	42
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	42
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	42
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	42
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	41
-]18.5;23.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	41
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	41
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	41
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	41
-]40.5;59.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	41
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	41
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	40
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	40
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	40
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	40
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	40
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	40
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	40
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	40
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	39
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	39
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	39
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	39
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	39
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	39
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	38
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	38
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	38
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	38
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	38
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	38
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	38
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	37
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	37
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	37
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	37
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	37
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	37
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	37
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	37
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	37
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	36
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	36
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	36
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	36
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	36
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	36
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	36
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	36
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	36
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	36
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	35
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	35
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	35
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	35
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	35
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	34
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	34
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	34
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	34
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	34
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	34
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	34
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	34
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	34
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	33
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	33
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	33
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	33
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	33
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	33
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	33
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	33
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	33
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	33
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	32
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	32
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	32
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	32
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	32
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	32
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	32
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	32
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	32
-]-inf;18.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	31
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	31
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	31
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	31
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	31
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	30
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	30
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	30
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	30
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	30
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	30
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	30
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	30
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	30
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	30
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	30
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	30
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	30
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	30
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	30
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	30
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	30
-]59.5;+inf[	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	30
-]59.5;+inf[	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	30
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	29
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	29
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	29
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	29
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	29
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	29
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	29
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	29
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	29
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	29
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	29
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	29
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	29
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]59.5;+inf[	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]59.5;+inf[	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]-inf;18.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	28
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	28
-]18.5;23.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	28
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	28
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	28
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	28
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	28
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	28
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	27
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	27
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	27
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	27
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	27
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	27
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	27
-]59.5;+inf[	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	27
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	26
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	26
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	26
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	26
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	26
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	26
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	26
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	26
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	26
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	26
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	26
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	26
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	26
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	26
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	26
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	26
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	26
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	25
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	25
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	25
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	25
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	25
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	25
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	25
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	25
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	25
-]40.5;59.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	25
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	25
-]59.5;+inf[	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	25
-]59.5;+inf[	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	25
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	24
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	24
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	24
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	24
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	24
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	24
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	24
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	24
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	24
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	24
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	24
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	24
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	24
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	24
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	24
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	24
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	23
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	23
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	23
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	23
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	23
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	23
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	23
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	23
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	23
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	23
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	23
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	23
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	23
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	23
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	23
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	22
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	22
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	22
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	22
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	22
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	22
-]40.5;59.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	22
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	22
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	22
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	22
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	21
-]18.5;23.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	21
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	21
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	21
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	21
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	21
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	21
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	21
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	21
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	21
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	21
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	21
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	21
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	21
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	20
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	20
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	20
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	20
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	20
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	20
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	20
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	20
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]18.5;23.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	19
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	19
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	19
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	19
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	19
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	19
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	19
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	19
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	18
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	18
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	18
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	18
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	18
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	18
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	18
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	18
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	18
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	18
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	18
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	18
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	18
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	18
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	18
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	18
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	18
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	18
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	18
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]59.5;+inf[	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	18
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;23.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	17
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	17
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	17
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	17
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	17
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	17
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;59.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	16
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	16
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	16
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	16
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	16
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	16
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	16
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]29.5;40.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	16
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	16
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	16
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	16
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	16
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	16
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	16
-]59.5;+inf[	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	15
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	15
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	15
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	15
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	15
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	15
-]23.5;29.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	15
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	15
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	15
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	15
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	15
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	15
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]59.5;+inf[	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	14
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	14
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	14
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	14
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	14
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	14
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	14
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	13
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]18.5;23.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;23.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	13
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	13
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	13
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	13
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	13
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	13
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	13
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	13
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]40.5;59.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	13
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	13
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	12
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]18.5;23.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]18.5;23.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	12
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	12
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	12
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	12
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	12
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	12
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	12
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	12
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	12
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	12
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	12
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	12
-]40.5;59.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	12
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	12
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	12
-]59.5;+inf[	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;23.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	11
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	11
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	11
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	11
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	11
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	11
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	11
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	11
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	11
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	11
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	11
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	10
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	10
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	10
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	10
-]18.5;23.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]23.5;29.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	10
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	10
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]29.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]29.5;40.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	10
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	10
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	10
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]59.5;+inf[	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]59.5;+inf[	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	10
-]-inf;18.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]-inf;18.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]-inf;18.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	9
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	9
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	9
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	9
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	9
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	9
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	9
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	9
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	9
-]29.5;40.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	9
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;59.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	9
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	9
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	9
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	8
-]18.5;23.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	8
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	8
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]23.5;29.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	8
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	8
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	8
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	8
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]59.5;+inf[	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]59.5;+inf[	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]-inf;18.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	7
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]18.5;23.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]18.5;23.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]18.5;23.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	7
-]18.5;23.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]18.5;23.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	7
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	7
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]23.5;29.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	7
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	7
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]29.5;40.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;59.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]59.5;+inf[	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]59.5;+inf[	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]59.5;+inf[	{Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;23.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;23.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]23.5;29.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]29.5;40.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]29.5;40.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]29.5;40.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]40.5;59.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]59.5;+inf[	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]59.5;+inf[	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]18.5;23.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;23.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]23.5;29.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]23.5;29.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]29.5;40.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;59.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]40.5;59.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;59.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]59.5;+inf[	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]-inf;18.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]18.5;23.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;23.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;23.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;23.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]18.5;23.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]23.5;29.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]23.5;29.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]23.5;29.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]29.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]29.5;40.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]29.5;40.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]29.5;40.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;59.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]59.5;+inf[	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]18.5;23.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]18.5;23.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]23.5;29.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]29.5;40.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;59.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;59.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;59.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;59.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]59.5;+inf[	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]59.5;+inf[	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]59.5;+inf[	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]-inf;18.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]-inf;18.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]18.5;23.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]18.5;23.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;23.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]23.5;29.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]23.5;29.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]23.5;29.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]29.5;40.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]29.5;40.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]29.5;40.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]29.5;40.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;59.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;59.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;59.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;59.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]59.5;+inf[	{Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]59.5;+inf[	{Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]59.5;+inf[	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;23.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;23.5]	{Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;23.5]	{Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;23.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Exec-managerial}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]23.5;29.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]23.5;29.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]23.5;29.5]	{Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]29.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]29.5;40.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]29.5;40.5]	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]29.5;40.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;59.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;59.5]	{Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;59.5]	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;59.5]	{Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Exec-managerial}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Exec-managerial}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]59.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]59.5;+inf[	{Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]59.5;+inf[	{Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]59.5;+inf[	{Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc b/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc
deleted file mode 100644
index 603dd108..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc
+++ /dev/null
@@ -1,2023 +0,0 @@
-#Khiops 9.0.1
-Short description	
-Dimensions	6
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-age	False	Numerical	6	6	48842	1	
-occupation	False	Categorical	6	6	14	1	
-education_num	False	Numerical	4	4	48842	1	
-hours_per_week	False	Numerical	3	3	48842	1	
-marital_status	False	Categorical	3	3	7	1	
-sex	False	Categorical	2	2	2	1	
-
-Coclustering stats
-Instances	48842
-Cells	1893
-Null cost	1642380.057
-Cost	1607892.406
-Level	0.02099858106
-Initial dimensions	6
-Frequency variable	
-Dictionary	Adult
-Database	C:\Applications\khiops9\samples\Adult\Adult.txt
-Sample percentage	0.0
-Sampling mode	
-Selection variable	None
-Selection value	None
-
-Bounds
-Name	Min	Max
-age	17	90
-education_num	1	16
-hours_per_week	1	99
-
-Hierarchy	age
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;18.5]	]-inf;22.5]	1457	0.300009	1	1	24
-]18.5;22.5]	]-inf;22.5]	4440	0.766626	1	3	24
-]22.5;28.5]	]-inf;28.5]	7395	1	1	5	24
-]28.5;40.5]	]28.5;60.5]	15339	0.952887	1	7	24
-]40.5;60.5]	]28.5;60.5]	16605	0.839256	1	9	24
-]60.5;+inf[	]28.5;+inf[	3606	0.419753	1	11	24
-]-inf;22.5]	]-inf;28.5]	5897	0.651336	0.995206	2	23
-]-inf;28.5]	]-inf;+inf[	13292	0.845315	0.753224	4	14
-]-inf;+inf[		48842	0.845619	-0.000190485	6	7
-]28.5;60.5]	]28.5;+inf[	31944	0.89382	0.894794	8	17
-]28.5;+inf[	]-inf;+inf[	35550	0.845733	0.855616	10	16
-
-Hierarchy	occupation
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Craft-repair, Transport-moving, Farming-fishing, ...}	B16	10955	1	1	1	24
-{Machine-op-inspct, Handlers-cleaners}	B16	5094	0.659953	1	3	24
-{Prof-specialty}	B13	8981	0.88263	1	5	24
-{Exec-managerial, Sales}	B13	11590	0.748618	1	7	24
-{Adm-clerical, Tech-support}	B15	7057	0.705283	1	9	24
-{Other-service, Priv-house-serv}	B15	5165	0.687133	1	11	24
-B16	B5	16049	0.892068	0.975793	2	21
-B5		48842	0.807633	0.38571	4	10
-B13	B8	20571	0.807126	0.919343	6	18
-B8	B5	32793	0.76631	0.671299	8	13
-B15	B8	12222	0.697613	0.958862	10	20
-
-Hierarchy	education_num
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;8.5]	]-inf;9.5]	6408	0.328368	1	1	24
-]8.5;9.5]	]-inf;9.5]	15784	0.654457	1	3	24
-]9.5;12.5]	]-inf;12.5]	14540	1	1	5	24
-]12.5;+inf[	]-inf;+inf[	12110	0.673911	1	7	24
-]-inf;9.5]	]-inf;12.5]	22192	0.560298	0.987133	2	22
-]-inf;12.5]	]-inf;+inf[	36732	0.73435	0.940864	4	19
-]-inf;+inf[		48842	0.719364	0.47669	6	11
-
-Hierarchy	hours_per_week
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;36.5]	]-inf;+inf[	10668	0.610712	1	1	24
-]36.5;43.5]	]36.5;+inf[	24446	1	1	3	24
-]43.5;+inf[	]36.5;+inf[	13728	0.389288	1	5	24
-]-inf;+inf[		48842	0.74332	0.587502	2	12
-]36.5;+inf[	]-inf;+inf[	38174	0.780378	0.813628	4	15
-
-Hierarchy	marital_status
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Never-married, Married-AF-spouse}	E1	16154	1	1	1	24
-{Married-civ-spouse}	E4	22379	0.934836	1	3	24
-{Divorced, Widowed, Separated, ...}	E4	10309	0.727243	1	5	24
-E1		48842	0.912572	0	2	6
-E4	E1	32688	0.869366	0.250779	4	9
-
-Hierarchy	sex
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Male}	F3	32650	1	1	1	24
-{Female}	F3	16192	1	1	3	24
-F3		48842	1	0.229664	2	8
-
-Composition	occupation
-Cluster	Value	Frequency	Typicality
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Craft-repair	6112	1
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Transport-moving	2355	0.558393
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Farming-fishing	1490	0.291576
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Protective-serv	983	0.110912
-{Craft-repair, Transport-moving, Farming-fishing, ...}	Armed-Forces	15	0.00345382
-{Craft-repair, Transport-moving, Farming-fishing, ...}	 * 	0	0
-{Machine-op-inspct, Handlers-cleaners}	Machine-op-inspct	3022	1
-{Machine-op-inspct, Handlers-cleaners}	Handlers-cleaners	2072	0.784427
-{Prof-specialty}	Prof-specialty	8981	1
-{Exec-managerial, Sales}	Exec-managerial	6086	1
-{Exec-managerial, Sales}	Sales	5504	0.503209
-{Adm-clerical, Tech-support}	Adm-clerical	5611	1
-{Adm-clerical, Tech-support}	Tech-support	1446	0.202539
-{Other-service, Priv-house-serv}	Other-service	4923	1
-{Other-service, Priv-house-serv}	Priv-house-serv	242	0.110267
-
-Composition	marital_status
-Cluster	Value	Frequency	Typicality
-{Never-married, Married-AF-spouse}	Never-married	16117	1
-{Never-married, Married-AF-spouse}	Married-AF-spouse	37	0.0016512
-{Never-married, Married-AF-spouse}	 * 	0	0
-{Married-civ-spouse}	Married-civ-spouse	22379	1
-{Divorced, Widowed, Separated, ...}	Divorced	6633	1
-{Divorced, Widowed, Separated, ...}	Widowed	1518	0.44822
-{Divorced, Widowed, Separated, ...}	Separated	1530	0.268642
-{Divorced, Widowed, Separated, ...}	Married-spouse-absent	628	0.0730328
-
-Composition	sex
-Cluster	Value	Frequency	Typicality
-{Male}	Male	32650	1
-{Female}	Female	16192	1
-{Female}	 * 	0	0
-
-Cells
-age	occupation	education_num	hours_per_week	marital_status	sex	Frequency
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	795
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	758
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	647
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	579
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	555
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	504
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	491
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	467
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	466
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	464
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	434
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	431
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	384
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	367
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	320
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	317
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	315
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	313
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	307
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	307
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	295
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	291
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	284
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	279
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	266
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	250
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	226
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	220
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	217
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	212
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	204
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	197
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	194
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	194
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	192
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	187
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	182
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	179
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	170
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	168
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	165
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	162
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	162
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	160
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	159
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	155
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	155
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	152
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	152
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	152
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	150
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	143
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	138
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	138
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	137
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	137
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	133
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	132
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	131
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	131
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	130
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	129
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	129
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	128
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	128
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	127
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	126
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	125
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	125
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	123
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	122
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	122
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	121
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	121
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	120
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	119
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	119
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	118
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	117
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	116
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	116
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	112
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	110
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	109
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	108
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	107
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	105
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	105
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	105
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	104
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	104
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	102
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	102
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	100
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	99
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	99
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	98
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	97
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	96
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	96
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	96
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	96
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	94
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	93
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	93
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	93
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	92
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	92
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	92
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	92
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	91
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	88
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	88
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	87
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	87
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	86
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	85
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	84
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	84
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	84
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	83
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	83
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	83
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	83
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	83
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	83
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	81
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	80
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	80
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	80
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	79
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	79
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	79
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	79
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	79
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	77
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	77
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	76
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	76
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	75
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	75
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	74
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	73
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	73
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	73
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	72
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	72
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	72
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	72
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	71
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	71
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	70
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	70
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	69
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	69
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	69
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	69
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	69
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	69
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	69
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	68
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	68
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	68
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	67
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	67
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	67
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	67
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	66
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	66
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	66
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	65
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	65
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	64
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	64
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	63
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	63
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	63
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	63
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	63
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	62
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	62
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	62
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	61
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	61
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	61
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	61
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	61
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	60
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	60
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	60
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	59
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	59
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	59
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	59
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	59
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	59
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	59
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	59
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	58
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	58
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	58
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	58
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	58
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	58
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	58
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	58
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	58
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	58
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	58
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	58
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	57
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	57
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	57
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	57
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	56
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	56
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	56
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	56
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	56
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	56
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	56
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	56
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	55
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	55
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	55
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	54
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	54
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	54
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	53
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	53
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	53
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	53
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	53
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	53
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	53
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	53
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	53
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	52
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	52
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	52
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	52
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	52
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	52
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	51
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	51
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	51
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	51
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	51
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	50
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	50
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	50
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	50
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	49
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	49
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	49
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	49
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	49
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	49
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	49
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	48
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	48
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	48
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	48
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	48
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	48
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	48
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	48
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	47
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	47
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	47
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	47
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	47
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	47
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	47
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	46
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	46
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	46
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	46
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	46
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	46
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	46
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	45
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	45
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	45
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	45
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	45
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	45
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	45
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	45
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	45
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	45
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	44
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	44
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	43
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	43
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	43
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	43
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	43
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	43
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	43
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	42
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	42
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	42
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	42
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	41
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	41
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	41
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	41
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	41
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	40
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	40
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	40
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	40
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	40
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	40
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	40
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	40
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	40
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	40
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	40
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	39
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	39
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	39
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	39
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	38
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	38
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	38
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	38
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	38
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	38
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	38
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	37
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	37
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	37
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	37
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	37
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	37
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	37
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	37
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	37
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	36
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	36
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	36
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	36
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	36
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	36
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	36
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	36
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	35
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	35
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	35
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	35
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	35
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	35
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	34
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	34
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	34
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	34
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	34
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	34
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	34
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	34
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	34
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	34
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	34
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	34
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	34
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	33
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	33
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	33
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	33
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	32
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	32
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	32
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	32
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	32
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	32
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	32
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	31
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	31
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	31
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	31
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	31
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	31
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	31
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	31
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	30
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	30
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	30
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	30
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	30
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	30
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	30
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	30
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	30
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	30
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	30
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	30
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	30
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	30
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	29
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	29
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	29
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	29
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	29
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	29
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	29
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	29
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	29
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	29
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	29
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	28
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	28
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	28
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	28
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	28
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	28
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	28
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	28
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	28
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	28
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	28
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	27
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	27
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	27
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	27
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	27
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	27
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	27
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	27
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	27
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	27
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	26
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	26
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	26
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	26
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	26
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	26
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	26
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	26
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	26
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	26
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	26
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	25
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	25
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	25
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	25
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	25
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	25
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	25
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	25
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	25
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	25
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	25
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	24
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	24
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	24
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	24
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	24
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	24
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	24
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	24
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	24
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	24
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	24
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	23
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	23
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	23
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	23
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	23
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	23
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	23
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	23
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	23
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	23
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	23
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	23
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	23
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	22
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	22
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	22
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	22
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	22
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	22
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	22
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	22
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	22
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	22
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	22
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	22
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	22
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	22
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	21
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	21
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	21
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	21
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	21
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	21
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	21
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	21
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	21
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	21
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	21
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	21
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	20
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	20
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	20
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	20
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	20
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	20
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	20
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	20
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	20
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	20
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	20
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	20
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	20
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	20
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	19
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	19
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	19
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	19
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	19
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	19
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	19
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	19
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	19
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	19
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	18
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	18
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	18
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	18
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	18
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	18
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	18
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	18
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	18
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	18
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	18
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	18
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	18
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	18
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	17
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	17
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	17
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	17
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	17
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	17
-]40.5;60.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	17
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	17
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	17
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	17
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	16
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	16
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	16
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	16
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	16
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	16
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	16
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	16
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	16
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	16
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	16
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	16
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	15
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	15
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	15
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	15
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	15
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	15
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	15
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	15
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	15
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	15
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	15
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	15
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	15
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	15
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	15
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	15
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	15
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	14
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	14
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	14
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	14
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	14
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	14
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	14
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	14
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	14
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	14
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	14
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	14
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	14
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	14
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	13
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	13
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	13
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	13
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	13
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	13
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	13
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	13
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	13
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	13
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	13
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	13
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	13
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	13
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	13
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	13
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	13
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	13
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	13
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	13
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	13
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	13
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	13
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	12
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	12
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	12
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	12
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	12
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	12
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	12
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	12
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	12
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	12
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	11
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	11
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	11
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	11
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	11
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	11
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]28.5;40.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	11
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	11
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	11
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	11
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	11
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	11
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	11
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	11
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	11
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	11
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	10
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	10
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	10
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	10
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	10
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	10
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	10
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	10
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	10
-]40.5;60.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	10
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	10
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	10
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	10
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	10
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	10
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	10
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	10
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	10
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	10
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	10
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	10
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	9
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	9
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	9
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	9
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	9
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	9
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	9
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	9
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	9
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	9
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	9
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	9
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	9
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	9
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	8
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	8
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	8
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	8
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	8
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	8
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	8
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	8
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	8
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	8
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	8
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	8
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	8
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	8
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	8
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	7
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	7
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	7
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	7
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	7
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	7
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	7
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	7
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	7
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	7
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	7
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	7
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	7
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]28.5;40.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]40.5;60.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	6
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	6
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	6
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	6
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	6
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	6
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	6
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	6
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	6
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	6
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	6
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	6
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	6
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	5
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	5
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]28.5;40.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	5
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	5
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	5
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	5
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	5
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	5
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	5
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	5
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	5
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	5
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	5
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	5
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]18.5;22.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;22.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	4
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]40.5;60.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	4
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	4
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	4
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	4
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	4
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	4
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	4
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	4
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	4
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	4
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]28.5;40.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	3
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]28.5;40.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;60.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;60.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	3
-]40.5;60.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	3
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	3
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	3
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	3
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	3
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	3
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	3
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]22.5;28.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]28.5;40.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]28.5;40.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]28.5;40.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]40.5;60.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	2
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	2
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	2
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	2
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	2
-]60.5;+inf[	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	2
-]-inf;18.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]-inf;18.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]-inf;18.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;22.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Exec-managerial, Sales}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;22.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]18.5;22.5]	{Prof-specialty}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]22.5;28.5]	{Exec-managerial, Sales}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]22.5;28.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]22.5;28.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]8.5;9.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]22.5;28.5]	{Prof-specialty}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]28.5;40.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]28.5;40.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]28.5;40.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]28.5;40.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]28.5;40.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]28.5;40.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]40.5;60.5]	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]40.5;60.5]	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]8.5;9.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Adm-clerical, Tech-support}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Craft-repair, Transport-moving, Farming-fishing, ...}	]12.5;+inf[	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Exec-managerial, Sales}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Machine-op-inspct, Handlers-cleaners}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]8.5;9.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]-inf;36.5]	{Divorced, Widowed, Separated, ...}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Divorced, Widowed, Separated, ...}	{Female}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]36.5;43.5]	{Married-civ-spouse}	{Male}	1
-]60.5;+inf[	{Other-service, Priv-house-serv}	]12.5;+inf[	]43.5;+inf[	{Married-civ-spouse}	{Male}	1
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]-inf;8.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]-inf;36.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]8.5;9.5]	]36.5;43.5]	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]36.5;43.5]	{Married-civ-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Female}	1
-]60.5;+inf[	{Prof-specialty}	]9.5;12.5]	]43.5;+inf[	{Never-married, Married-AF-spouse}	{Male}	1
-
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt
deleted file mode 100644
index 8708b08d..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-Hierarchical structure	age
-                        ]22.5;28.5]
-              ]-inf;28.5]
-                        ]-inf;18.5]
-                       ]-inf;22.5]
-                        ]18.5;22.5]
-       ]-inf;+inf[
-                        ]60.5;+inf[
-                ]28.5;+inf[
-                        ]28.5;40.5]
-                 ]28.5;60.5]
-                        ]40.5;60.5]
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt
deleted file mode 100644
index 401851c4..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-Hierarchical structure	education_num
-                        ]12.5;+inf[
-           ]-inf;+inf[
-                        ]9.5;12.5]
-                   ]-inf;12.5]
-                        ]-inf;8.5]
-                      ]-inf;9.5]
-                        ]8.5;9.5]
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt
deleted file mode 100644
index ecb34084..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	hours_per_week
-                        ]-inf;36.5]
-            ]-inf;+inf[
-                        ]36.5;43.5]
-               ]36.5;+inf[
-                        ]43.5;+inf[
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt
deleted file mode 100644
index 3ed62687..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	marital_status
-                        {Never-married, Married-AF-spouse}
-      E1
-                        {Married-civ-spouse}
-         E4
-                        {Divorced, Widowed, Separated, ...}
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt
deleted file mode 100644
index bbef370c..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-Hierarchical structure	occupation
-                        {Craft-repair, Transport-moving, Farming-fishing, ...}
-                     B16
-                        {Machine-op-inspct, Handlers-cleaners}
-          B5
-                        {Prof-specialty}
-                  B13
-                        {Exec-managerial, Sales}
-             B8
-                        {Adm-clerical, Tech-support}
-                    B15
-                        {Other-service, Priv-house-serv}
diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt
deleted file mode 100644
index 0132db50..00000000
--- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	sex
-                        {Male}
-        F3
-                        {Female}
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt
deleted file mode 100644
index 943fac51..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-Hierarchical structure	age
-                         ]23.5;29.5]
-              ]-inf;29.5]
-                         ]-inf;18.5]
-                      ]-inf;23.5]
-                         ]18.5;23.5]
-       ]-inf;+inf[
-                         ]59.5;+inf[
-                ]29.5;+inf[
-                         ]29.5;40.5]
-                    ]29.5;59.5]
-                         ]40.5;59.5]
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt
deleted file mode 100644
index 7b2a7fb3..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-Hierarchical structure	education_num
-                         ]12.5;+inf[
-           ]-inf;+inf[
-                         ]9.5;12.5]
-                  ]-inf;12.5]
-                         ]-inf;8.5]
-                     ]-inf;9.5]
-                         ]8.5;9.5]
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt
deleted file mode 100644
index 78bba4c0..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	hours_per_week
-                         ]-inf;36.5]
-             ]-inf;+inf[
-                         ]36.5;43.5]
-               ]36.5;+inf[
-                         ]43.5;+inf[
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt
deleted file mode 100644
index d96d92cf..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	marital_status
-                         {Never-married, Married-AF-spouse}
-      E1
-                         {Married-civ-spouse}
-         E4
-                         {Divorced, Widowed, Separated, ...}
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt
deleted file mode 100644
index 60dd52ca..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-Hierarchical structure	occupation
-                         {Craft-repair, Transport-moving, Farming-fishing, ...}
-                       B18
-                         {Machine-op-inspct, Handlers-cleaners}
-          B5
-                         {Prof-specialty}
-                 B12
-                         {Exec-managerial}
-                        B19
-                         {Sales}
-            B7
-                         {Other-service, Priv-house-serv}
-                   B14
-                         {Adm-clerical, Tech-support}
diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt
deleted file mode 100644
index a95463f9..00000000
--- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	sex
-                         {Female}
-        F3
-                         {Male}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc
deleted file mode 100644
index 02e4d0a0..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc
+++ /dev/null
@@ -1,58 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	3	3	3	1	
-Type	False	Categorical	3	3	3	1	
-
-Coclustering stats
-Instances	30
-Cells	3
-Null cost	71.79629629
-Cost	54.21221232
-Level	0.2449163102
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiGreek
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A3	10	1	1	1	6
-{<é>}	A3	10	1	1	3	6
-{<θ>}	A1	10	1	1	5	6
-A3	A1	20	1	0.585855	2	4
-A1		30	1	0	4	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ANSI}	B4	10	1	1	1	6
-{ASCII}	B4	10	1	1	3	6
-{UTF8 Greek}	B2	10	1	1	5	6
-B4	B2	20	1	0.474518	2	5
-B2		30	1	-0.177223	4	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<é>}	<é>	10	1
-{<é>}	 * 	0	0
-{<θ>}	<θ>	10	1
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ANSI}	ANSI	10	1
-{ASCII}	ASCII	10	1
-{UTF8 Greek}	UTF8 Greek	10	1
-{UTF8 Greek}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<θ>}	{UTF8 Greek}	10
-{<é>}	{ANSI}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 9b6d9b04..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Char
-      {<θ>}
-  A1
-      {<a>}
-    A3
-      {<é>}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 4988394a..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Type
-      {UTF8 Greek}
-   B2
-      {ANSI}
-     B4
-      {ASCII}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc
deleted file mode 100644
index 5ba13ef4..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc
+++ /dev/null
@@ -1,65 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	4	4	4	1	
-Type	False	Categorical	4	4	4	1	
-
-Coclustering stats
-Instances	40
-Cells	4
-Null cost	119.3404907
-Cost	91.36407336
-Level	0.2344251911
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatinGreek
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<é>}	A3	10	1	1	1	8
-{<θ>}	A3	10	1	1	3	8
-{<a>}	A5	10	1	1	5	8
-{<é>}	A5	10	1	1	7	8
-A3	A1	20	1	0.593613	2	4
-A1		40	1	0	4	2
-A5	A1	20	1	0.835387	6	6
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{UTF8 Greek}	B4	10	1	1	1	8
-{UTF8 Latin}	B4	10	1	1	3	8
-{ANSI}	B6	10	1	1	5	8
-{ASCII}	B6	10	1	1	7	8
-B4	B2	20	1	0.518102	2	5
-B2		40	1	-0.144788	4	3
-B6	B2	20	1	0.713166	6	7
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<é>}	<é>	10	1
-{<θ>}	<θ>	10	1
-{<a>}	<a>	10	1
-{<é>}	<é>	10	1
-{<é>}	 * 	0	0
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{UTF8 Greek}	UTF8 Greek	10	1
-{UTF8 Latin}	UTF8 Latin	10	1
-{UTF8 Latin}	 * 	0	0
-{ANSI}	ANSI	10	1
-{ASCII}	ASCII	10	1
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<é>}	{UTF8 Latin}	10
-{<θ>}	{UTF8 Greek}	10
-{<é>}	{ANSI}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 3fc869a8..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-Hierarchical structure	Char
-        {<é>}
-    A3
-        {<θ>}
-  A1
-        {<a>}
-      A5
-        {<é>}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 322bb116..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-Hierarchical structure	Type
-        {UTF8 Greek}
-     B4
-        {UTF8 Latin}
-   B2
-        {ANSI}
-       B6
-        {ASCII}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc
deleted file mode 100644
index 222ea5ef..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc
+++ /dev/null
@@ -1,58 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	3	3	3	1	
-Type	False	Categorical	3	3	3	1	
-
-Coclustering stats
-Instances	30
-Cells	3
-Null cost	71.79629629
-Cost	54.21221232
-Level	0.2449163102
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	AnsiLatin
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A3	10	1	1	1	6
-{<é>}	A3	10	1	1	3	6
-{<é>}	A1	10	1	1	5	6
-A3	A1	20	1	0.585855	2	4
-A1		30	1	0	4	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ANSI}	B4	10	1	1	1	6
-{ASCII}	B4	10	1	1	3	6
-{UTF8 Latin}	B2	10	1	1	5	6
-B4	B2	20	1	0.474518	2	5
-B2		30	1	-0.177223	4	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<é>}	<é>	10	1
-{<é>}	 * 	0	0
-{<é>}	<é>	10	1
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ANSI}	ANSI	10	1
-{ASCII}	ASCII	10	1
-{UTF8 Latin}	UTF8 Latin	10	1
-{UTF8 Latin}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<é>}	{UTF8 Latin}	10
-{<é>}	{ANSI}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 09eb892e..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Char
-      {<é>}
-  A1
-      {<a>}
-    A3
-      {<é>}
diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 7554f50e..00000000
--- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Type
-      {UTF8 Latin}
-   B2
-      {ANSI}
-     B4
-      {ASCII}
diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc
deleted file mode 100644
index c6f8d04f..00000000
--- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc
+++ /dev/null
@@ -1,51 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	2	2	2	1	
-Type	False	Categorical	2	2	2	1	
-
-Coclustering stats
-Instances	20
-Cells	2
-Null cost	31.03577469
-Cost	22.73813924
-Level	0.2673571236
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Ansi
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A1	10	1	1	1	4
-{<é>}	A1	10	1	1	3	4
-A1		20	1	0	2	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ANSI}	B2	10	1	1	1	4
-{ASCII}	B2	10	1	1	3	4
-B2		20	1	-0.210392	2	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<é>}	<é>	10	1
-{<é>}	 * 	0	0
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ANSI}	ANSI	10	1
-{ASCII}	ASCII	10	1
-{ASCII}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<é>}	{ANSI}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 03642b9c..00000000
--- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Char
-    {<a>}
-  A1
-    {<é>}
diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 4d0f8973..00000000
--- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Type
-    {ANSI}
-   B2
-    {ASCII}
diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc
deleted file mode 100644
index 1f5cb6b9..00000000
--- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc
+++ /dev/null
@@ -1,51 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	2	2	2	1	
-Type	False	Categorical	2	2	2	1	
-
-Coclustering stats
-Instances	20
-Cells	2
-Null cost	31.03577469
-Cost	22.73813924
-Level	0.2673571236
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Greek
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A1	10	1	1	1	4
-{<θ>}	A1	10	1	1	3	4
-A1		20	1	0	2	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ASCII}	B2	10	1	1	1	4
-{UTF8 Greek}	B2	10	1	1	3	4
-B2		20	1	-0.210392	2	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<θ>}	<θ>	10	1
-{<θ>}	 * 	0	0
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ASCII}	ASCII	10	1
-{UTF8 Greek}	UTF8 Greek	10	1
-{UTF8 Greek}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<θ>}	{UTF8 Greek}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 276f3613..00000000
--- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Char
-    {<a>}
-  A1
-    {<θ>}
diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 588bb0cd..00000000
--- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Type
-    {ASCII}
-   B2
-    {UTF8 Greek}
diff --git a/tests/resources/coclustering_results/ref_reports/Iris.khc b/tests/resources/coclustering_results/ref_reports/Iris.khc
deleted file mode 100644
index 6471fa88..00000000
--- a/tests/resources/coclustering_results/ref_reports/Iris.khc
+++ /dev/null
@@ -1,69 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	3
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-PetalLength	False	Numerical	3	3	150	1	
-PetalWidth	False	Numerical	3	3	150	1	
-Class	False	Categorical	3	3	3	1	
-
-Coclustering stats
-Instances	150
-Cells	7
-Null cost	1379.668177
-Cost	1164.273132
-Level	0.1561209056
-Initial dimensions	3
-Frequency variable	
-Dictionary	Iris
-Database	../../../datasets/Iris/Iris.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-
-Bounds
-Name	Min	Max
-PetalLength	1	6.9
-PetalWidth	0.1	2.5
-
-Hierarchy	PetalLength
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;2.4]	]-inf;+inf[	50	0.557285	1	1	9
-]2.4;4.75]	]2.4;+inf[	45	1	1	3	9
-]4.75;+inf[	]2.4;+inf[	55	0.442715	1	5	9
-]-inf;+inf[		150	0.648091	-0.0145257	2	4
-]2.4;+inf[	]-inf;+inf[	100	0.693493	0.856289	4	8
-
-Hierarchy	PetalWidth
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-]-inf;0.8]	]-inf;+inf[	50	0.569949	1	1	9
-]0.8;1.75]	]0.8;+inf[	54	1	1	3	9
-]1.75;+inf[	]0.8;+inf[	46	0.430051	1	5	9
-]-inf;+inf[		150	0.681865	0.374198	2	5
-]0.8;+inf[	]-inf;+inf[	100	0.737824	0.704564	4	7
-
-Hierarchy	Class
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{Iris-setosa}	C1	50	1	1	1	9
-{Iris-versicolor}	C4	50	0.912663	1	3	9
-{Iris-virginica}	C4	50	0.912663	1	5	9
-C1		150	0.941775	0	2	3
-C4	C1	100	0.912663	0.739904	4	6
-
-Composition	Class
-Cluster	Value	Frequency	Typicality
-{Iris-setosa}	Iris-setosa	50	1
-{Iris-versicolor}	Iris-versicolor	50	1
-{Iris-virginica}	Iris-virginica	50	1
-{Iris-virginica}	 * 	0	0
-
-Cells
-PetalLength	PetalWidth	Class	Frequency
-]-inf;2.4]	]-inf;0.8]	{Iris-setosa}	50
-]4.75;+inf[	]1.75;+inf[	{Iris-virginica}	45
-]2.4;4.75]	]0.8;1.75]	{Iris-versicolor}	44
-]4.75;+inf[	]0.8;1.75]	{Iris-versicolor}	5
-]4.75;+inf[	]0.8;1.75]	{Iris-virginica}	4
-]2.4;4.75]	]0.8;1.75]	{Iris-virginica}	1
-]4.75;+inf[	]1.75;+inf[	{Iris-versicolor}	1
-
diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt
deleted file mode 100644
index 53a821fe..00000000
--- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Class
-         {Iris-setosa}
-   C1
-         {Iris-versicolor}
-      C4
-         {Iris-virginica}
diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt
deleted file mode 100644
index 589cc124..00000000
--- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	PetalLength
-         ]-inf;2.4]
-    ]-inf;+inf[
-         ]2.4;4.75]
-        ]2.4;+inf[
-         ]4.75;+inf[
diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt
deleted file mode 100644
index 5791e9e2..00000000
--- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	PetalWidth
-         ]-inf;0.8]
-     ]-inf;+inf[
-         ]0.8;1.75]
-       ]0.8;+inf[
-         ]1.75;+inf[
diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc
deleted file mode 100644
index d6474e3c..00000000
--- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc
+++ /dev/null
@@ -1,58 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	3	3	3	1	
-Type	False	Categorical	3	3	3	1	
-
-Coclustering stats
-Instances	30
-Cells	3
-Null cost	71.79629629
-Cost	54.21221232
-Level	0.2449163102
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	LatinGreek
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A3	10	1	1	1	6
-{<θ>}	A3	10	1	1	3	6
-{<é>}	A1	10	1	1	5	6
-A3	A1	20	1	0.585855	2	4
-A1		30	1	0	4	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ASCII}	B4	10	1	1	1	6
-{UTF8 Greek}	B4	10	1	1	3	6
-{UTF8 Latin}	B2	10	1	1	5	6
-B4	B2	20	1	0.474518	2	5
-B2		30	1	-0.177223	4	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<θ>}	<θ>	10	1
-{<θ>}	 * 	0	0
-{<é>}	<é>	10	1
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ASCII}	ASCII	10	1
-{UTF8 Greek}	UTF8 Greek	10	1
-{UTF8 Latin}	UTF8 Latin	10	1
-{UTF8 Latin}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<é>}	{UTF8 Latin}	10
-{<θ>}	{UTF8 Greek}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 313e0bda..00000000
--- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Char
-      {<é>}
-  A1
-      {<a>}
-    A3
-      {<θ>}
diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 1af0ad85..00000000
--- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Hierarchical structure	Type
-      {UTF8 Latin}
-   B2
-      {ASCII}
-     B4
-      {UTF8 Greek}
diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc
deleted file mode 100644
index 27756d1e..00000000
--- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc
+++ /dev/null
@@ -1,51 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-Char	False	Categorical	2	2	2	1	
-Type	False	Categorical	2	2	2	1	
-
-Coclustering stats
-Instances	20
-Cells	2
-Null cost	31.03577469
-Cost	22.73813924
-Level	0.2673571236
-Initial dimensions	2
-Frequency variable	
-Dictionary	MultipleEncodings
-Database	./MultipleEncodings.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	Latin
-Selection value	1
-
-Hierarchy	Char
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{<a>}	A1	10	1	1	1	4
-{<é>}	A1	10	1	1	3	4
-A1		20	1	0	2	2
-
-Hierarchy	Type
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ASCII}	B2	10	1	1	1	4
-{UTF8 Latin}	B2	10	1	1	3	4
-B2		20	1	-0.210392	2	3
-
-Composition	Char
-Cluster	Value	Frequency	Typicality
-{<a>}	<a>	10	1
-{<é>}	<é>	10	1
-{<é>}	 * 	0	0
-
-Composition	Type
-Cluster	Value	Frequency	Typicality
-{ASCII}	ASCII	10	1
-{UTF8 Latin}	UTF8 Latin	10	1
-{UTF8 Latin}	 * 	0	0
-
-Cells
-Char	Type	Frequency
-{<a>}	{ASCII}	10
-{<é>}	{UTF8 Latin}	10
-
diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt
deleted file mode 100644
index 03642b9c..00000000
--- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Char
-    {<a>}
-  A1
-    {<é>}
diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt
deleted file mode 100644
index 01dcb7ce..00000000
--- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Hierarchical structure	Type
-    {ASCII}
-   B2
-    {UTF8 Latin}
diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc
deleted file mode 100644
index 49d04dd4..00000000
--- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc
+++ /dev/null
@@ -1,140 +0,0 @@
-#Khiops 10.0.0.3i
-Short description	
-Dimensions	2
-Name	Is variable part	Type	Parts	Initial parts	Values	Interest	Description
-CapColor	False	Categorical	7	7	10	1	
-Odor	False	Categorical	7	7	9	1	
-
-Coclustering stats
-Instances	8416
-Cells	25
-Null cost	27983.3
-Cost	24901.7
-Level	0.1101228233
-Initial dimensions	2
-Frequency variable	
-Dictionary	Mushroom
-Database	C:\Temp\Mushroom\Mushroom.txt
-Sample percentage	100
-Sampling mode	Include sample
-Selection variable	
-Selection value	
-
-Hierarchy	CapColor
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{YELLOW}	A2	1072	1	1	1	14
-{GRAY, BUFF}	A6	2264	0.739123	1	3	14
-{WHITE}	A9	1040	0.626873	1	5	14
-{PINK}	A12	144	0.276019	1	7	14
-{CINNAMON, GREEN, PURPLE}	A12	76	0.14494	1	9	14
-{RED}	A10	1500	0.680039	1	11	14
-{BROWN}	A10	2320	0.668346	1	13	14
-A2		8416	0.71515	-0.00326863	2	3
-A6	A3	3524	0.674258	0.651661	4	7
-A9	A6	1260	0.557706	0.895619	6	10
-A12	A9	220	0.230737	0.995743	8	13
-A3	A2	7344	0.673571	0.358859	10	4
-A10	A3	3820	0.672937	0.942919	12	11
-
-Hierarchy	Odor
-Cluster	ParentCluster	Frequency	Interest	HierarchicalLevel	Rank	HierarchicalRank
-{ALMOND, ANISE}	B5	800	0.91958	1	1	14
-{FOUL}	B5	2160	0.876044	1	3	14
-{FISHY, SPICY}	B11	1152	1	1	5	14
-{MUSTY}	B11	48	0.145564	1	7	14
-{NONE}	B7	3808	0.865195	1	9	14
-{CREOSOTE}	B8	192	0.46277	1	11	14
-{PUNGENT}	B8	256	0.378504	1	13	14
-B5	B1	2960	0.88781	0.633019	2	6
-B1		8416	0.863512	0	4	2
-B11	B4	1200	0.965823	0.98921	6	12
-B4	B1	5456	0.85033	0.405738	8	5
-B7	B4	4256	0.817766	0.80499	10	8
-B8	B7	448	0.414618	0.859857	12	9
-
-Composition	CapColor
-Cluster	Value	Frequency	Typicality
-{YELLOW}	YELLOW	1072	1
-{GRAY, BUFF}	GRAY	2096	1
-{GRAY, BUFF}	BUFF	168	0.186724
-{WHITE}	WHITE	1040	1
-{PINK}	PINK	144	1
-{CINNAMON, GREEN, PURPLE}	CINNAMON	44	1
-{CINNAMON, GREEN, PURPLE}	GREEN	16	0.32908
-{CINNAMON, GREEN, PURPLE}	PURPLE	16	0.286005
-{RED}	RED	1500	1
-{BROWN}	BROWN	2320	1
-{BROWN}	 * 	0	0
-
-Composition	Odor
-Cluster	Value	Frequency	Typicality
-{ALMOND, ANISE}	ALMOND	400	1
-{ALMOND, ANISE}	ANISE	400	1
-{FOUL}	FOUL	2160	1
-{FISHY, SPICY}	FISHY	576	1
-{FISHY, SPICY}	SPICY	576	1
-{MUSTY}	MUSTY	48	1
-{NONE}	NONE	3808	1
-{CREOSOTE}	CREOSOTE	192	1
-{PUNGENT}	PUNGENT	256	1
-{PUNGENT}	 * 	0	0
-
-Cells
-CapColor	Odor	Frequency
-{GRAY, BUFF}	{NONE}	1360
-{BROWN}	{NONE}	1208
-{GRAY, BUFF}	{FOUL}	840
-{YELLOW}	{FOUL}	648
-{RED}	{NONE}	624
-{BROWN}	{FISHY, SPICY}	576
-{RED}	{FISHY, SPICY}	576
-{WHITE}	{NONE}	448
-{YELLOW}	{ALMOND, ANISE}	400
-{WHITE}	{ALMOND, ANISE}	304
-{BROWN}	{FOUL}	288
-{RED}	{FOUL}	288
-{BROWN}	{PUNGENT}	128
-{WHITE}	{PUNGENT}	128
-{BROWN}	{ALMOND, ANISE}	96
-{WHITE}	{FOUL}	96
-{PINK}	{NONE}	80
-{CINNAMON, GREEN, PURPLE}	{NONE}	64
-{GRAY, BUFF}	{CREOSOTE}	64
-{PINK}	{CREOSOTE}	64
-{WHITE}	{CREOSOTE}	64
-{BROWN}	{MUSTY}	24
-{YELLOW}	{NONE}	24
-{CINNAMON, GREEN, PURPLE}	{MUSTY}	12
-{RED}	{MUSTY}	12
-
-Annotation	CapColor
-Cluster	Expand	Selected	ShortDescription	Description
-{YELLOW}	FALSE	FALSE	Jaune	
-{GRAY, BUFF}	FALSE	FALSE	Gris	Gris¤comme¤Gandalf
-{WHITE}	FALSE	FALSE	Blanc	Blanc¤comme¤Saruman
-{PINK}	FALSE	FALSE	Rose	
-{CINNAMON, GREEN, PURPLE}	FALSE	FALSE	Cannelle	
-{RED}	FALSE	FALSE	Rouge	Rouge!!!°Ah¤la¤la,¤ça¤craint...
-{BROWN}	FALSE	FALSE	Brun	
-A2	FALSE	FALSE		
-A6	FALSE	FALSE		
-A9	FALSE	FALSE		
-A12	FALSE	FALSE		
-A3	FALSE	FALSE		
-A10	FALSE	FALSE		
-
-Annotation	Odor
-Cluster	Expand	Selected	ShortDescription	Description
-{ALMOND, ANISE}	FALSE	FALSE		
-{FOUL}	FALSE	FALSE		
-{FISHY, SPICY}	FALSE	FALSE		
-{MUSTY}	FALSE	FALSE		
-{NONE}	FALSE	FALSE		
-{CREOSOTE}	FALSE	FALSE		
-{PUNGENT}	FALSE	FALSE		
-B5	FALSE	FALSE		
-B1	FALSE	FALSE		
-B11	FALSE	FALSE		
-B4	FALSE	FALSE		
-B7	FALSE	FALSE		
-B8	FALSE	FALSE		
diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt
deleted file mode 100644
index cd529031..00000000
--- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-Hierarchical structure	CapColor
-              {YELLOW}
-   A2
-              {GRAY, BUFF}
-       A6
-              {WHITE}
-          A9
-              {PINK}
-             A12
-              {CINNAMON, GREEN, PURPLE}
-    A3
-              {RED}
-           A10
-              {BROWN}
diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt
deleted file mode 100644
index 50e60e71..00000000
--- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-Hierarchical structure	Odor
-              {ALMOND, ANISE}
-      B5
-              {FOUL}
-  B1
-              {FISHY, SPICY}
-            B11
-              {MUSTY}
-     B4
-              {NONE}
-        B7
-              {CREOSOTE}
-         B8
-              {PUNGENT}
diff --git a/tests/test_core.py b/tests/test_core.py
index 1cdddeab..e6b28a5f 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -7,12 +7,14 @@
 """Tests for the khiops.core module"""
 import glob
 import io
+import json
 import os
 import shutil
 import textwrap
 import unittest
 import warnings
 from copy import copy
+from difflib import unified_diff
 from pathlib import Path
 from unittest import mock
 
@@ -31,16 +33,40 @@
 class KhiopsCoreIOTests(unittest.TestCase):
     """Tests the reading/writing of files for the core module classes/functions"""
 
+    def _assert_report_is_dumped_to_correct_json(self, report, ref_json_report):
+        # Dump the report as JSON (4-space indented and keys sorted in
+        # lexicographic order)
+        output_json = report.to_json()
+        output_json_string = json.dumps(output_json, indent=4, sort_keys=True)
+
+        # Dump the reference JSON report (4-space indented and keys sorted in
+        # lexicographic order)
+        with open(ref_json_report, encoding="utf-8") as ref_json_file:
+            ref_json = json.load(ref_json_file)
+        ref_json_string = json.dumps(ref_json, indent=4, sort_keys=True)
+
+        # Succeed if the dumped reports are equal
+        if output_json_string == ref_json_string:
+            return
+
+        # On failure print the differences
+        output_json_lines = output_json_string.splitlines(keepends=True)
+        ref_json_lines = ref_json_string.splitlines(keepends=True)
+        out_ref_diff = "".join(unified_diff(ref_json_lines, output_json_lines))
+        if out_ref_diff:
+            report_type = (
+                "Analysis" if ref_json_report.endswith(".khj") else "Coclustering"
+            )
+            self.fail(
+                f"{report_type}Results JSON dump differs from reference "
+                f"'{ref_json_report}':\n{out_ref_diff}"
+            )
+
     def test_analysis_results(self):
         """Tests for the analysis_results module"""
         # Set the test paths
         test_resources_dir = os.path.join(resources_dir(), "analysis_results")
-        ref_reports_dir = os.path.join(test_resources_dir, "ref_reports")
         ref_json_reports_dir = os.path.join(test_resources_dir, "ref_json_reports")
-        output_reports_dir = os.path.join(test_resources_dir, "output_reports")
-
-        # Cleanup previous output files
-        cleanup_dir(output_reports_dir, "*.txt")
 
         # Read the json reports, dump them as txt reports, and compare to the reference
         reports = [
@@ -50,7 +76,6 @@ def test_analysis_results(self):
             "AnsiGreek",
             "AnsiLatin",
             "AnsiLatinGreek",
-            "AnyChar",
             "BadTool",
             "Deft2017ChallengeNGrams1000",
             "EmptyDatabase",
@@ -63,7 +88,6 @@ def test_analysis_results(self):
             "SpliceJunctionWithTrees",
             "IrisU",
             "IrisU2D",
-            "LargeSpiral",
             "Latin",
             "LatinGreek",
             "MissingDiscretization",
@@ -79,9 +103,7 @@ def test_analysis_results(self):
         ]
         reports_ko = ["BadTool", "NoVersion"]
         for report in reports:
-            ref_report = os.path.join(ref_reports_dir, f"{report}.txt")
             ref_json_report = os.path.join(ref_json_reports_dir, f"{report}.khj")
-            output_report = os.path.join(output_reports_dir, f"{report}.txt")
             with self.subTest(report=report):
                 if report in reports_ko:
                     with self.assertRaises(kh.KhiopsJSONError):
@@ -89,23 +111,20 @@ def test_analysis_results(self):
                 elif report in reports_warn:
                     with self.assertWarns(UserWarning):
                         results = kh.read_analysis_results_file(ref_json_report)
-                        results.write_report_file(output_report)
-                        assert_files_equal(self, ref_report, output_report)
+                        self._assert_report_is_dumped_to_correct_json(
+                            results, ref_json_report
+                        )
                 else:
                     results = kh.read_analysis_results_file(ref_json_report)
-                    results.write_report_file(output_report)
-                    assert_files_equal(self, ref_report, output_report)
+                    self._assert_report_is_dumped_to_correct_json(
+                        results, ref_json_report
+                    )
 
     def test_coclustering_results(self):
         """Tests for the coclustering_results module"""
         # Set the test paths
         test_resources_dir = os.path.join(resources_dir(), "coclustering_results")
-        ref_reports_dir = os.path.join(test_resources_dir, "ref_reports")
         ref_json_reports_dir = os.path.join(test_resources_dir, "ref_json_reports")
-        output_reports_dir = os.path.join(test_resources_dir, "output_reports")
-
-        # Cleanup output files
-        cleanup_dir(output_reports_dir, "*.txt")
 
         # Read then json reports, dump them as txt reports and compare to the reference
         reports = [
@@ -126,30 +145,14 @@ def test_coclustering_results(self):
             "AnsiLatinGreek_Coclustering",
         ]
         for report in reports:
-            ref_report = os.path.join(ref_reports_dir, f"{report}.khc")
             ref_json_report = os.path.join(ref_json_reports_dir, f"{report}.khcj")
-            output_report = os.path.join(output_reports_dir, f"{report}.khc")
             with self.subTest(report=report):
                 if report in reports_warn:
                     with self.assertWarns(UserWarning):
                         results = kh.read_coclustering_results_file(ref_json_report)
                 else:
                     results = kh.read_coclustering_results_file(ref_json_report)
-                results.write_report_file(output_report)
-                assert_files_equal(self, ref_report, output_report)
-                for dimension in results.coclustering_report.dimensions:
-                    ref_hierarchy_report = os.path.join(
-                        ref_reports_dir, f"{report}_hierarchy_{dimension.name}.txt"
-                    )
-                    output_hierarchy_report = os.path.join(
-                        output_reports_dir, f"{report}_hierarchy_{dimension.name}.txt"
-                    )
-                    dimension.write_hierarchy_structure_report_file(
-                        output_hierarchy_report
-                    )
-                    assert_files_equal(
-                        self, ref_hierarchy_report, output_hierarchy_report
-                    )
+                self._assert_report_is_dumped_to_correct_json(results, ref_json_report)
 
     def test_binary_dictionary_domain(self):
         """Test binary dictionary write"""
@@ -1166,12 +1169,12 @@ def test_analysis_results_accessors(self):
                     ],
                     "AdultEvaluation": None,
                     "Iris2D": [
+                        "PetalWidth",
                         "SPetalLength",
                         "PetalLength",
-                        "PetalWidth",
-                        "Class2",
                         "LowerPetalLength",
                         "Class1",
+                        "Class2",
                         "UpperPetalWidth",
                         "SepalLength",
                         "SepalWidth",
@@ -1179,12 +1182,12 @@ def test_analysis_results_accessors(self):
                         "Dummy2",
                     ],
                     "IrisC": [
+                        "PetalWidth",
                         "SPetalLength",
                         "PetalLength",
-                        "PetalWidth",
-                        "Class2",
                         "LowerPetalLength",
                         "Class1",
+                        "Class2",
                         "UpperPetalWidth",
                         "SepalLength",
                         "SepalWidth",
@@ -1197,9 +1200,9 @@ def test_analysis_results_accessors(self):
                         "PetalWidth",
                         "LowerPetalLength",
                         "Class1",
+                        "UpperPetalWidth",
                         "SepalLength",
                         "Class2",
-                        "UpperPetalWidth",
                         "SepalWidth",
                         "Dummy1",
                         "Dummy2",
@@ -1219,31 +1222,31 @@ def test_analysis_results_accessors(self):
                         ("Dummy2", "SepalWidth"),
                         ("Dummy2", "UpperPetalWidth"),
                         ("SepalWidth", "UpperPetalWidth"),
-                        ("Class2", "SepalLength"),
-                        ("SepalLength", "SepalWidth"),
-                        ("Class2", "SepalWidth"),
                         ("Class2", "UpperPetalWidth"),
+                        ("SepalLength", "SepalWidth"),
+                        ("Class2", "SepalLength"),
                         ("Class1", "SepalWidth"),
+                        ("Class2", "SepalWidth"),
                         ("LowerPetalLength", "SepalWidth"),
+                        ("PetalLength", "SepalWidth"),
                         ("PetalWidth", "SepalWidth"),
                         ("SPetalLength", "SepalWidth"),
-                        ("PetalLength", "SepalWidth"),
+                        ("Class2", "LowerPetalLength"),
+                        ("Class1", "Class2"),
                         ("Class1", "UpperPetalWidth"),
                         ("LowerPetalLength", "UpperPetalWidth"),
                         ("SepalLength", "UpperPetalWidth"),
-                        ("Class2", "LowerPetalLength"),
-                        ("Class1", "Class2"),
                         ("Class1", "SepalLength"),
+                        ("Class2", "PetalLength"),
                         ("LowerPetalLength", "SepalLength"),
+                        ("PetalLength", "SepalLength"),
                         ("PetalWidth", "SepalLength"),
                         ("SPetalLength", "SepalLength"),
-                        ("PetalLength", "SepalLength"),
+                        ("PetalLength", "UpperPetalWidth"),
                         ("PetalWidth", "UpperPetalWidth"),
                         ("SPetalLength", "UpperPetalWidth"),
-                        ("PetalLength", "UpperPetalWidth"),
-                        ("Class2", "PetalWidth"),
-                        ("Class2", "PetalLength"),
                         ("Class2", "SPetalLength"),
+                        ("Class2", "PetalWidth"),
                         ("Class1", "PetalLength"),
                         ("Class1", "LowerPetalLength"),
                         ("LowerPetalLength", "PetalLength"),
@@ -1251,29 +1254,38 @@ def test_analysis_results_accessors(self):
                         ("LowerPetalLength", "SPetalLength"),
                         ("Class1", "SPetalLength"),
                         ("Class1", "PetalWidth"),
+                        ("PetalLength", "SPetalLength"),
                         ("PetalWidth", "SPetalLength"),
                         ("PetalLength", "PetalWidth"),
-                        ("PetalLength", "SPetalLength"),
                     ],
                 }
             },
             "ModelingReport": {
                 "get_predictor_names": {
-                    "Adult": ["Selective Naive Bayes"],
-                    "Iris2D": ["Selective Naive Bayes"],
-                    "IrisC": ["Selective Naive Bayes"],
-                    "IrisR": ["Selective Naive Bayes"]
+                    "Adult": ["Selective Naive Bayes", "Univariate relationship"],
+                    "Iris2D": ["Selective Naive Bayes", "Univariate PetalWidth"],
+                    "IrisC": ["Selective Naive Bayes", "Univariate PetalWidth"],
+                    "IrisR": [
+                        "Baseline",
+                        "Selective Naive Bayes",
+                        "Univariate SPetalLength",
+                    ],
                 }
             },
             "EvaluationReport": {
                 "get_predictor_names": {
-                    "Adult": ["Selective Naive Bayes"],
+                    "Adult": ["Selective Naive Bayes", "Univariate relationship"],
                     "AdultEvaluation": [
                         "Selective Naive Bayes",
+                        "Univariate relationship",
+                    ],
+                    "Iris2D": ["Selective Naive Bayes", "Univariate PetalWidth"],
+                    "IrisC": ["Selective Naive Bayes", "Univariate PetalWidth"],
+                    "IrisR": [
+                        "Baseline",
+                        "Selective Naive Bayes",
+                        "Univariate SPetalLength",
                     ],
-                    "Iris2D": ["Selective Naive Bayes"],
-                    "IrisC": ["Selective Naive Bayes"],
-                    "IrisR": ["Selective Naive Bayes"],
                 }
             },
             "PredictorPerformance": {

From 72b0970a4c9577a7948cdf8caa1aa9efc751305e Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Wed, 14 May 2025 19:32:54 +0200
Subject: [PATCH 11/18] Drop tests on typicalities

They are no longer always mandatory, namely when used in the
`innerVariables` part of instance-variable coclustering reports.
---
 tests/test_core.py | 18 ------------------
 1 file changed, 18 deletions(-)

diff --git a/tests/test_core.py b/tests/test_core.py
index e6b28a5f..2140130d 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -1568,11 +1568,6 @@ def test_coclustering_results_simple_edge_cases(self):
                 {"cluster": "MYCLUSTER", "values": []}
             )
         self.assertIn("'valueFrequencies' key not found", cm.exception.args[0])
-        with self.assertRaises(kh.KhiopsJSONError) as cm:
-            kh.CoclusteringDimensionPartValueGroup(
-                {"cluster": "MYCLUSTER", "values": [], "valueFrequencies": []}
-            )
-        self.assertIn("'valueTypicalities' key not found", cm.exception.args[0])
         with self.assertRaises(kh.KhiopsJSONError) as cm:
             kh.CoclusteringDimensionPartValueGroup(
                 {
@@ -1586,19 +1581,6 @@ def test_coclustering_results_simple_edge_cases(self):
             "'valueFrequencies' key list must have the same length",
             cm.exception.args[0],
         )
-        with self.assertRaises(kh.KhiopsJSONError) as cm:
-            kh.CoclusteringDimensionPartValueGroup(
-                {
-                    "cluster": "MYCLUSTER",
-                    "values": [],
-                    "valueFrequencies": [],
-                    "valueTypicalities": [1],
-                }
-            )
-        self.assertIn(
-            "'valueTypicalities' key list must have the same length",
-            cm.exception.args[0],
-        )
         with self.assertRaises(TypeError):
             kh.CoclusteringCluster(json_data="NOT A DICT")
         with self.assertRaises(kh.KhiopsJSONError) as cm:

From 70eac6bab0f780e7df8ef0415d84f19d012e9668 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Thu, 15 May 2025 18:15:19 +0200
Subject: [PATCH 12/18] Deprecate CSV report writing methods

Also, don't count them in test coverage reports.
---
 khiops/core/analysis_results.py     | 378 ++++++++++++++++++++++++++--
 khiops/core/coclustering_results.py | 301 ++++++++++++++++++++--
 2 files changed, 629 insertions(+), 50 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 8c91d195..2890f229 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -69,10 +69,12 @@
 module look at their ``write_report`` methods which write TSV (tab separated values)
 reports.
 """
+import inspect
 import io
+import warnings
 
 from khiops.core.exceptions import KhiopsJSONError
-from khiops.core.internals.common import type_error_message
+from khiops.core.internals.common import deprecation_message, type_error_message
 from khiops.core.internals.io import (
     KhiopsJSONObject,
     KhiopsOutputWriter,
@@ -213,14 +215,24 @@ def get_reports(self):
             reports.append(self.evaluation_report)
         return reports
 
-    def write_report_file(self, report_file_path):
+    def write_report_file(self, report_file_path):  # pragma: no cover
         """Writes a TSV report file with the object's information
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         report_file_path : str
             Path of the output TSV report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
+        )
+
+        # Write report to file
         with open(report_file_path, "wb") as report_file:
             report_file_writer = self.create_output_file_writer(report_file)
             self.write_report(report_file_writer)
@@ -254,14 +266,25 @@ def to_json(self):
             report["evaluationReport"] = self.evaluation_report.to_json()
         return report
 
-    def write_report(self, stream_or_writer):
+    def write_report(self, stream_or_writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         stream_or_writer : `io.IOBase` or `.KhiopsOutputWriter`
             Output stream or writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Check input writer/stream type
         if isinstance(stream_or_writer, io.IOBase):
             writer = self.create_output_file_writer(stream_or_writer)
@@ -723,14 +746,26 @@ def to_json(self):
             }
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("Report\tPreparation")
         writer.writeln("")
@@ -1102,14 +1137,26 @@ def to_json(self):
 
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("Report\tBivariate preparation")
         writer.writeln("")
@@ -1331,14 +1378,26 @@ def to_json(self):
 
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("Report\tModeling")
         writer.writeln("")
@@ -1756,14 +1815,26 @@ def to_json(self):
             ]
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer object.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write report header
         writer.write("Report\t")
         writer.writeln(f"Evaluation\t{self.evaluation_type}")
@@ -2113,16 +2184,29 @@ def to_json(self, details=False):
                 report["derivationRule"] = self.derivation_rule
             return report
 
-    def write_report_header_line(self, writer):
+    def write_report_header_line(self, writer):  # pragma: no cover
         """Writes the header line of a TSV report into a writer object
 
         The header is the same for all variable types.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report header
         writer.write("Rank\t")
         writer.write("Name\t")
         writer.write("Type\t")
@@ -2143,14 +2227,26 @@ def write_report_header_line(self, writer):
         writer.write("Data cost\t")
         writer.writeln("Derivation rule")
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write common attributes
         writer.write(f"{self.rank}\t")
         writer.write(f"{self.name}\t")
@@ -2209,14 +2305,27 @@ def write_report_line(self, writer):
             writer.write(self.derivation_rule)
         writer.writeln("")
 
-    def write_report_details(self, writer):
+    def write_report_details(self, writer):  # pragma: no cover
         """Writes the details' attributes into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report if detailed report is available
         if self.is_detailed():
             # Write header line
             writer.writeln("")
@@ -2394,16 +2503,28 @@ def to_json(self, details=False):
 
         return report
 
-    def write_report_header_line(self, writer):
+    def write_report_header_line(self, writer):  # pragma: no cover
         """Writes the header line of a TSV report into a writer object
 
         The header is the same for all variable types.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write identifier column names
         writer.write("Rank\t")
         writer.write("Name 1\t")
@@ -2430,14 +2551,26 @@ def write_report_header_line(self, writer):
         writer.write("Preparation cost\t")
         writer.writeln("Data cost")
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write identifier attributes
         writer.write(f"{self.rank}\t")
         writer.write(f"{self.name1}\t")
@@ -2464,14 +2597,27 @@ def write_report_line(self, writer):
         writer.write(f"{self.preparation_cost}\t")
         writer.writeln(str(self.data_cost))
 
-    def write_report_details(self, writer):
+    def write_report_details(self, writer):  # pragma: no cover
         """Writes the details' attributes into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report if detailed report is available
         if self.is_detailed():
             writer.writeln("")
             writer.writeln(f"Rank\t{self.rank}")
@@ -3035,14 +3181,26 @@ def to_json(self):
 
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write data grid type
         writer.write("Data grid\t")
         if self.is_supervised:
@@ -3265,14 +3423,27 @@ def to_json(self):
 
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report
         writer.write(f"{self.variable}\t")
         writer.write(f"{self.type}\t")
         writer.writeln(self.partition_type)
@@ -3368,14 +3539,26 @@ def to_json(self):
             return [self.lower_bound, self.upper_bound]
         return []
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write part label
         writer.write(str(self))
 
@@ -3432,14 +3615,27 @@ def to_json(self):
         """Serialize object instance to the Khiops JSON format"""
         return self.value
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write object value
         writer.writeln(str(self))
 
 
@@ -3499,14 +3695,26 @@ def to_json(self):
         """Serialize object instance to the Khiops JSON format"""
         return self.values
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write part label
         writer.write(str(self))
 
@@ -3633,9 +3841,14 @@ def to_json(self, details=False):
             "variables": self.variable_number,
         }
 
-    def write_report_header_line(self, writer):
+    def write_report_header_line(self, writer):  # pragma: no cover
         """Writes the header line of a TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         The header is the same for all variable types.
 
         Parameters
@@ -3643,34 +3856,68 @@ def write_report_header_line(self, writer):
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report header line
         writer.write("Rank\t")
         writer.write("Type\t")
         writer.write("Family\t")
         writer.write("Name\t")
         writer.writeln("Variables")
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report line
         writer.write(f"{self.rank}\t")
         writer.write(f"{self.type}\t")
         writer.write(f"{self.family}\t")
         writer.write(f"{self.name}\t")
         writer.writeln(str(self.variable_number))
 
-    def write_report_details(self, writer):
+    def write_report_details(self, writer):  # pragma: no cover
         """Writes the details of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write detailed report header if available
         if self.is_detailed():
             # Header line
             writer.writeln("")
@@ -3741,16 +3988,29 @@ def to_json(self):
 
         return report
 
-    def write_report_header_line(self, writer):
+    def write_report_header_line(self, writer):  # pragma: no cover
         """Writes the header line of a TSV report into a writer object
 
         The header is the same for all variable types.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report header
         writer.write("Prepared name\t")
         writer.write("Name\t")
         writer.write("Level")
@@ -3759,14 +4019,27 @@ def write_report_header_line(self, writer):
             writer.write("\tImportance")
         writer.writeln("")
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report line
         writer.write(f"{self.prepared_name}\t")
         writer.write(f"{self.name}\t")
         writer.write(str(self.level))
@@ -3975,16 +4248,29 @@ def to_json(self, details=False):
                 )
         return report
 
-    def write_report_header_line(self, writer):
+    def write_report_header_line(self, writer):  # pragma: no cover
         """Writes the header line of a TSV report into a writer object
 
         The header is the same for all variable types.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report header
         writer.write("Rank\t")
         writer.write("Type\t")
         writer.write("Family\t")
@@ -4001,14 +4287,27 @@ def write_report_header_line(self, writer):
             writer.write("RankMAE\t")
             writer.writeln("RankNLPD")
 
-    def write_report_line(self, writer):
+    def write_report_line(self, writer):  # pragma: no cover
         """Writes a line of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report line
         writer.write(f"{self.rank}\t")
         writer.write(f"{self.type}\t")
         writer.write(f"{self.family}\t")
@@ -4017,14 +4316,27 @@ def write_report_line(self, writer):
         metrics = [str(self.get_metric(name)) for name in self.get_metric_names()]
         writer.writeln("\t".join(metrics))
 
-    def write_report_details(self, writer):
+    def write_report_details(self, writer):  # pragma: no cover
         """Writes the details of the TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write detailed report if available
         if self.is_detailed():
             # Write header line
             writer.writeln("")
@@ -4081,14 +4393,26 @@ def to_json(self):
 
         return {"values": self.values, "matrix": self.matrix}
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report into a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("Confusion matrix")
 
diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index b397adf7..7fbd5199 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -40,10 +40,12 @@
 module look at their ``write_report`` methods which write TSV (tab separated values)
 reports.
 """
+import inspect
 import io
+import warnings
 
 from khiops.core.exceptions import KhiopsJSONError
-from khiops.core.internals.common import type_error_message
+from khiops.core.internals.common import deprecation_message, type_error_message
 from khiops.core.internals.io import (
     KhiopsJSONObject,
     KhiopsOutputWriter,
@@ -103,26 +105,47 @@ def to_json(self):
             report["coclusteringReport"] = self.coclustering_report.to_json()
         return report
 
-    def write_report_file(self, report_file_path):
+    def write_report_file(self, report_file_path):  # pragma: no cover
         """Writes a TSV report file with the object's information
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         report_file_path : str
             Path of the output TSV report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
+        )
+
+        # Write report to file
         with open(report_file_path, "wb") as report_file:
             writer = self.create_output_file_writer(report_file)
             self.write_report(writer)
 
-    def write_report(self, stream_or_writer):
+    def write_report(self, stream_or_writer):  # pragma: no cover
         """Writes the instance's TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         stream_or_writer : `io.IOBase` or `.KhiopsOutputWriter`
             Output stream or writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Check input writer/stream type
         if isinstance(stream_or_writer, io.IOBase):
             writer = self.create_output_file_writer(stream_or_writer)
@@ -399,14 +422,25 @@ def to_json(self):
         }
         return report
 
-    def write_report(self, writer):
+    def write_report(self, writer):  # pragma: no cover
         """Writes the instance's TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output stream or writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write each section
         self.write_dimensions(writer)
         self.write_coclustering_stats(writer)
@@ -416,28 +450,52 @@ def write_report(self, writer):
         self.write_cells(writer)
         self.write_annotations(writer)
 
-    def write_dimensions(self, writer):
+    def write_dimensions(self, writer):  # pragma: no cover
         """Writes the "dimensions" section of the TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write dimension report
         writer.writeln(f"Dimensions\t{len(self.dimensions)}")
         for i, cc_dimension in enumerate(self.dimensions):
             if i == 0:
                 cc_dimension.write_dimension_header_line(writer)
             cc_dimension.write_dimension_line(writer)
 
-    def write_coclustering_stats(self, writer):
+    def write_coclustering_stats(self, writer):  # pragma: no cover
         """Writes the "stats" section of the TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report
         writer.writeln("")
         writer.writeln("Coclustering stats")
         writer.writeln(f"Instances\t{self.instance_number}")
@@ -454,14 +512,25 @@ def write_coclustering_stats(self, writer):
         writer.writeln(f"Selection variable\t{self.selection_variable}")
         writer.writeln(f"Selection value\t{self.selection_value}")
 
-    def write_bounds(self, writer):
+    def write_bounds(self, writer):  # pragma: no cover
         """Writes the "bounds" section of the TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Compute number of numerical dimensions
         numerical_dimension_number = 0
         for cc_dimension in self.dimensions:
@@ -479,36 +548,71 @@ def write_bounds(self, writer):
                     writer.write(f"{cc_dimension.min}\t")
                     writer.writeln(str(cc_dimension.max))
 
-    def write_hierarchies(self, writer):
+    def write_hierarchies(self, writer):  # pragma: no cover
         """Writes the dimension reports' "hierarchy" sections to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write dimension hierarchy report for each dimension
         for cc_dimension in self.dimensions:
             cc_dimension.write_hierarchy(writer)
 
-    def write_compositions(self, writer):
+    def write_compositions(self, writer):  # pragma: no cover
         """Writes the dimensions' "composition" sections to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write dimension composition report for each dimension
         for cc_dimension in self.dimensions:
             cc_dimension.write_composition(writer)
 
-    def write_cells(self, writer):
+    def write_cells(self, writer):  # pragma: no cover
         """Writes the "cells" section of the TSV report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("")
         writer.writeln("Cells")
@@ -522,14 +626,25 @@ def write_cells(self, writer):
         for cc_cell in self.cells:
             cc_cell.write_line(writer)
 
-    def write_annotations(self, writer):
+    def write_annotations(self, writer):  # pragma: no cover
         """Writes the dimensions' "annotation" sections to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Decide whether annotation sections need to be reported
         need_report = False
         for cc_dimension in self.dimensions:
@@ -950,14 +1065,26 @@ def to_json(self, report_type):
         else:
             raise ValueError(f"Unknown 'report_type 'value: '{report_type}'")
 
-    def write_dimension_header_line(self, writer):
+    def write_dimension_header_line(self, writer):  # pragma: no cover
         """Writes the "dimensions" section header to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write dimension report header
         writer.write("Name\t")
         writer.write("Is variable part\t")
         writer.write("Type\t")
@@ -967,14 +1094,26 @@ def write_dimension_header_line(self, writer):
         writer.write("Interest\t")
         writer.writeln("Description")
 
-    def write_dimension_line(self, writer):
+    def write_dimension_line(self, writer):  # pragma: no cover
         """Writes the "dimensions" section line to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write dimension report line
         writer.write(f"{self.name}\t")
         writer.write(f"{self.is_variable_part}\t")
         writer.write(f"{self.type}\t")
@@ -984,14 +1123,25 @@ def write_dimension_line(self, writer):
         writer.write(f"{self.interest}\t")
         writer.writeln(self.description)
 
-    def write_hierarchy(self, writer):
+    def write_hierarchy(self, writer):  # pragma: no cover
         """Writes the "hierarchy" section to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("")
         writer.writeln(f"Hierarchy\t{self.name}")
@@ -1002,14 +1152,25 @@ def write_hierarchy(self, writer):
                 cluster.write_hierarchy_header_line(writer)
             cluster.write_hierarchy_line(writer)
 
-    def write_composition(self, writer):
+    def write_composition(self, writer):  # pragma: no cover
         """Writes the "composition" section to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write only categorical dimensions
         if self.type == "Categorical":
             # Write header
@@ -1036,14 +1197,25 @@ def write_composition(self, writer):
                     writer.write(f"{0}\t")
                     writer.writeln(str(0))
 
-    def write_annotation(self, writer):
+    def write_annotation(self, writer):  # pragma: no cover
         """Writes the "annotation" section to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write header
         writer.writeln("")
         writer.writeln(f"Annotation\t{self.name}")
@@ -1068,16 +1240,30 @@ def needs_annotation_report(self):
                 return True
         return False
 
-    def write_hierarchy_structure_report_file(self, report_file_path):
+    def write_hierarchy_structure_report_file(
+        self, report_file_path
+    ):  # pragma: no cover
         """Writes the hierarchical structure of the clusters to a file
 
         This method is mainly a test of the encoding of the cluster hierarchy.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         report_file_path : str
             Path of the output file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report to file
         with open(report_file_path, "wb") as report_file:
             writer = KhiopsOutputWriter(report_file)
             writer.writeln(f"Hierarchical structure\t{self.name}")
@@ -1450,14 +1636,26 @@ def to_json(self):
             report["description"] = self.description
         return report
 
-    def write_hierarchy_header_line(self, writer):
+    def write_hierarchy_header_line(self, writer):  # pragma: no cover
         """Writes the "hierarchy" section's header to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write report header
         writer.write("Cluster\t")
         writer.write("ParentCluster\t")
         writer.write("Frequency\t")
@@ -1466,14 +1664,26 @@ def write_hierarchy_header_line(self, writer):
         writer.write("Rank\t")
         writer.writeln("HierarchicalRank")
 
-    def write_hierarchy_line(self, writer):
+    def write_hierarchy_line(self, writer):  # pragma: no cover
         """Writes a line of the "hierarchy" section to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write hierarchy report line
         writer.write(f"{self.name}\t")
         writer.write(f"{self.parent_cluster_name}\t")
         writer.write(f"{self.frequency}\t")
@@ -1482,28 +1692,52 @@ def write_hierarchy_line(self, writer):
         writer.write(f"{self.rank}\t")
         writer.writeln(str(self.hierarchical_rank))
 
-    def write_annotation_header_line(self, writer):
+    def write_annotation_header_line(self, writer):  # pragma: no cover
         """Writes the "annotation" section's header to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write annotation report header
         writer.write("Cluster\t")
         writer.write("Expand\t")
         writer.write("Selected\t")
         writer.write("ShortDescription\t")
         writer.writeln("Description")
 
-    def write_annotation_line(self, writer):
+    def write_annotation_line(self, writer):  # pragma: no cover
         """Writes a line of the "annotation" section to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
+        # Write annotation report line
         writer.write(f"{self.name}\t")
         # TODO: Why "Expand" and "Selected" are not available?
         writer.write("FALSE\t")
@@ -1511,16 +1745,27 @@ def write_annotation_line(self, writer):
         writer.write(f"{self.short_description}\t")
         writer.writeln(self.description)
 
-    def write_hierarchy_structure_report(self, writer):
+    def write_hierarchy_structure_report(self, writer):  # pragma: no cover
         """Writes the hierarchical structure from this instance to a writer object
 
         This method is mainly a test of the encoding of the cluster hierarchy.
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12. Use the `.to_json` method instead.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer for the report file.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+            )
+        )
+
         # Write first child cluster
         if self.child_cluster1 is not None:
             self.child_cluster1.write_hierarchy_structure_report(writer)
@@ -1555,14 +1800,24 @@ def __init__(self):
         self.parts = []
         self.frequency = 0
 
-    def write_line(self, writer):
+    def write_line(self, writer):  # pragma: no cover
         """Writes a line of the instance's report to a writer object
 
+        .. warning::
+            This method is *deprecated* since Khiops 11.0.0 and will be removed in
+            Khiops 12.
+
         Parameters
         ----------
         writer : `.KhiopsOutputWriter`
             Output writer.
         """
+        # Warn the user that this method is deprecated and will be removed
+        warnings.warn(
+            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
+        )
+
+        # Write part report line
         for part in self.parts:
             writer.write(f"{part.cluster_name}\t")
         writer.writeln(str(self.frequency))

From 3f0f8254804ccbd914bec2e563b87bdd13189140 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 20 May 2025 18:17:47 +0200
Subject: [PATCH 13/18] Rename `to_json` to `to_dict` and update its and report
 modules' docstrings

---
 khiops/core/analysis_results.py     | 268 +++++++++++++++-------------
 khiops/core/coclustering_results.py | 137 +++++++-------
 khiops/core/internals/io.py         |   4 +-
 tests/test_core.py                  |   2 +-
 4 files changed, 213 insertions(+), 198 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 2890f229..862d5dd3 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -16,7 +16,9 @@
 composition of sub-reports objects given by the following structure::
 
     AnalysisResults
-    |- preparation_report            ->  PreparationReport
+    |- preparation_report           |
+    |- text_preparation_report      |->  PreparationReport
+    |- tree_preparation_report      |
     |- bivariate_preparation_report  ->  BivariatePreparationReport
     |- modeling_report               ->  ModelingReport
     |- train_evaluation_report      |
@@ -28,20 +30,32 @@
 `BivariatePreparationReport` are::
 
     PreparationReport
-    |- variable_statistics -> list of VariableStatistics
+    |- variables_statistics -> list of VariableStatistics
+    |- trees                -> list of Tree (only for tree_preparation_report)
 
     BivariatePreparationReport
     |- variable_pair_statistics -> list of VariablePairStatistics
 
     VariableStatistics
-    |- data_grid -> DataGrid
+    |- data_grid       -> DataGrid
+    |- modl_histograms -> ModlHistograms
 
     VariablePairStatistics
     |- data_grid -> DataGrid
 
+    Tree
+    |- target_partition -> TargetPartition
+    |- nodes -> list of TreeNode
+
+    TargetPartition
+    |- partition -> list of PartInterval
+
     DataGrid
     |- dimensions -> list of DataGridDimension
 
+    ModlHistograms
+    |- histograms -> list of Histogram
+
     DataGridDimension
     |- partition -> list of PartInterval OR
     |               list of PartValue OR
@@ -66,8 +80,8 @@
     |- confusion_matrix -> ConfusionMatrix (classification only)
 
 To have a complete illustration of the access to the information of all classes in this
-module look at their ``write_report`` methods which write TSV (tab separated values)
-reports.
+module look at their ``to_dict`` methods which write Python dictionaries in the
+same format as the Khiops JSON reports.
 """
 import inspect
 import io
@@ -220,7 +234,7 @@ def write_report_file(self, report_file_path):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -237,9 +251,9 @@ def write_report_file(self, report_file_path):  # pragma: no cover
             report_file_writer = self.create_output_file_writer(report_file)
             self.write_report(report_file_writer)
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
-        report = super().to_json()
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
+        report = super().to_dict()
         if self.short_description is not None:
             report["shortDescription"] = self.short_description
         if self.logs:
@@ -247,23 +261,23 @@ def to_json(self):
             for task_name, messages in self.logs:
                 report["logs"].append({"taskName": task_name, "messages": messages})
         if self.preparation_report is not None:
-            report["preparationReport"] = self.preparation_report.to_json()
+            report["preparationReport"] = self.preparation_report.to_dict()
         if self.text_preparation_report is not None:
-            report["textPreparationReport"] = self.text_preparation_report.to_json()
+            report["textPreparationReport"] = self.text_preparation_report.to_dict()
         if self.tree_preparation_report is not None:
-            report["treePreparationReport"] = self.tree_preparation_report.to_json()
+            report["treePreparationReport"] = self.tree_preparation_report.to_dict()
         if self.bivariate_preparation_report is not None:
             report["bivariatePreparationReport"] = (
-                self.bivariate_preparation_report.to_json()
+                self.bivariate_preparation_report.to_dict()
             )
         if self.modeling_report is not None:
-            report["modelingReport"] = self.modeling_report.to_json()
+            report["modelingReport"] = self.modeling_report.to_dict()
         if self.train_evaluation_report is not None:
-            report["trainEvaluationReport"] = self.train_evaluation_report.to_json()
+            report["trainEvaluationReport"] = self.train_evaluation_report.to_dict()
         if self.test_evaluation_report is not None:
-            report["testEvaluationReport"] = self.test_evaluation_report.to_json()
+            report["testEvaluationReport"] = self.test_evaluation_report.to_dict()
         if self.evaluation_report is not None:
-            report["evaluationReport"] = self.evaluation_report.to_json()
+            report["evaluationReport"] = self.evaluation_report.to_dict()
         return report
 
     def write_report(self, stream_or_writer):  # pragma: no cover
@@ -271,7 +285,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -281,7 +295,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -597,8 +611,8 @@ def get_variable_statistics(self, variable_name):
         """
         return self._variables_statistics_by_name[variable_name]
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report_summary = {
             "dictionary": self.dictionary,
             "variables": {
@@ -725,7 +739,7 @@ def to_json(self):
         # Write variables' statistics
         if len(self.variables_statistics) > 0:
             report["variablesStatistics"] = [
-                variable_statistics.to_json()
+                variable_statistics.to_dict()
                 for variable_statistics in self.variables_statistics
             ]
             if any(
@@ -733,7 +747,7 @@ def to_json(self):
                 for variable_statistics in self.variables_statistics
             ):
                 report["variablesDetailedStatistics"] = {
-                    variable_statistics.rank: variable_statistics.to_json(details=True)
+                    variable_statistics.rank: variable_statistics.to_dict(details=True)
                     for variable_statistics in self.variables_statistics
                     if variable_statistics.is_detailed()
                 }
@@ -751,7 +765,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -762,7 +776,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1052,8 +1066,8 @@ def get_variable_pair_statistics(self, variable_name_1, variable_name_2):
             (variable_name_1, variable_name_2)
         ]
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report_summary = {
             "dictionary": self.dictionary,
             "variables": {
@@ -1120,7 +1134,7 @@ def to_json(self):
         # Write variables pairs' statistics
         if len(self.variables_pairs_statistics) > 0:
             report["variablesPairsStatistics"] = [
-                variable_pair_statistics.to_json()
+                variable_pair_statistics.to_dict()
                 for variable_pair_statistics in self.variables_pairs_statistics
             ]
             if any(
@@ -1128,7 +1142,7 @@ def to_json(self):
                 for variable_pair_statistics in self.variables_pairs_statistics
             ):
                 report["variablesPairsDetailedStatistics"] = {
-                    variable_pair_statistics.rank: variable_pair_statistics.to_json(
+                    variable_pair_statistics.rank: variable_pair_statistics.to_dict(
                         details=True
                     )
                     for variable_pair_statistics in self.variables_pairs_statistics
@@ -1142,7 +1156,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -1153,7 +1167,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1342,8 +1356,8 @@ def get_predictor_names(self):
         """
         return list(self._trained_predictors_by_name.keys())
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report_summary = {
             "dictionary": self.dictionary,
             "database": self.database,
@@ -1354,12 +1368,12 @@ def to_json(self):
             "reportType": "Modeling",
             "summary": report_summary,
             "trainedPredictors": [
-                predictor.to_json() for predictor in self.trained_predictors
+                predictor.to_dict() for predictor in self.trained_predictors
             ],
         }
         if any(predictor.is_detailed() for predictor in self.trained_predictors):
             report["trainedPredictorsDetails"] = {
-                predictor.rank: predictor.to_json(details=True)
+                predictor.rank: predictor.to_dict(details=True)
                 for predictor in self.trained_predictors
                 if predictor.is_detailed()
             }
@@ -1383,7 +1397,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -1394,7 +1408,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1742,8 +1756,8 @@ def get_snb_lift_curve(self, target_value):
                 )
         raise KeyError(target_value)
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report_summary = {
             "dictionary": self.dictionary,
             "database": self.database,
@@ -1756,7 +1770,7 @@ def to_json(self):
             "evaluationType": self.evaluation_type,
             "summary": report_summary,
             "predictorsPerformance": [
-                predictor_performance.to_json()
+                predictor_performance.to_dict()
                 for predictor_performance in self.predictors_performance
             ],
         }
@@ -1765,7 +1779,7 @@ def to_json(self):
             for predictor_performance in self.predictors_performance
         ):
             report["predictorsDetailedPerformance"] = {
-                predictor_performance.rank: predictor_performance.to_json(details=True)
+                predictor_performance.rank: predictor_performance.to_dict(details=True)
                 for predictor_performance in self.predictors_performance
                 if predictor_performance.is_detailed()
             }
@@ -1820,7 +1834,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -1831,7 +1845,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2107,15 +2121,15 @@ def is_detailed(self):
             self.input_values is not None and self.input_value_frequencies is not None
         )
 
-    def to_json(self, details=False):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self, details=False):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         # Write report details if required and applicable
         if details and self.is_detailed():
             report = {}
 
             # Write data grid
             if self.data_grid is not None:
-                report["dataGrid"] = self.data_grid.to_json()
+                report["dataGrid"] = self.data_grid.to_dict()
 
             # Write input values and their frequencies
             if self.input_values is not None:
@@ -2126,7 +2140,7 @@ def to_json(self, details=False):
 
             # Write MODL histograms (unsupervised analysis)
             if self.modl_histograms is not None:
-                report["modlHistograms"] = self.modl_histograms.to_json()
+                report["modlHistograms"] = self.modl_histograms.to_dict()
             return report
         elif details is False:
             report = {
@@ -2191,7 +2205,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2202,7 +2216,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2232,7 +2246,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2243,7 +2257,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2310,7 +2324,7 @@ def write_report_details(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2321,7 +2335,7 @@ def write_report_details(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2468,12 +2482,12 @@ def is_detailed(self):
         """
         return self.data_grid is not None
 
-    def to_json(self, details=False):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self, details=False):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {}
         if details and self.is_detailed():
             # write detailed report
-            report["dataGrid"] = self.data_grid.to_json()
+            report["dataGrid"] = self.data_grid.to_dict()
         elif details is False:
             report.update(
                 {
@@ -2510,7 +2524,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2521,7 +2535,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2556,7 +2570,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2567,7 +2581,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2602,7 +2616,7 @@ def write_report_details(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -2613,7 +2627,7 @@ def write_report_details(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -2670,15 +2684,15 @@ def _update_nodes(self, json_data, root=None):
         for json_node in json_data.get("childNodes", []):
             self._update_nodes(json_node, root=json_data.get("nodeId"))
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "name": self.name,
             "variableNumber": self.variable_number,
             "depth": self.depth,
         }
         if self.target_partition is not None:
-            report["targetPartition"] = self.target_partition.to_json()
+            report["targetPartition"] = self.target_partition.to_dict()
         if self.nodes:
             report["treeNodes"] = self._nodes_to_json(
                 root_node=self.nodes[0], past_nodes=[]
@@ -2686,7 +2700,7 @@ def to_json(self):
             return report
 
     def _nodes_to_json(self, root_node, past_nodes):
-        report = root_node.to_json()
+        report = root_node.to_dict()
         past_nodes = [root_node]
         json_child_nodes = []
         for node in self.nodes:
@@ -2776,13 +2790,13 @@ def __init__(self, json_data=None):
         # Set partition element frequencies
         self.frequencies = json_data.get("frequencies", [])
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "variable": self.variable,
             "type": self.type,
             "partitionType": self.partition_type,
-            "partition": [part.to_json() for part in self.partition],
+            "partition": [part.to_dict() for part in self.partition],
         }
         if self.frequencies:
             report["frequencies"] = self.frequencies
@@ -2857,8 +2871,8 @@ def __init__(self, json_data=None, parent_id=None):
         self.partition = json_data.get("partition")
         self.default_group_index = json_data.get("defaultGroupIndex")
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
 
         report = {"nodeId": self.id}
         if self.variable is not None:
@@ -2984,13 +2998,13 @@ def __init__(self, json_data=None):
             for json_histogram in json_data.get("histograms", [])
         ]
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         return {
             "emptyIntervalNumbers": self.empty_interval_numbers,
             "granularities": self.granularities,
             "histogramNumber": self.histogram_number,
-            "histograms": [histogram.to_json() for histogram in self.histograms],
+            "histograms": [histogram.to_dict() for histogram in self.histograms],
             "informationRates": self.information_rates,
             "interpretableHistogramNumber": self.interpretable_histogram_number,
             "intervalNumbers": self.interval_numbers,
@@ -3037,8 +3051,8 @@ def __init__(self, json_data=None):
         self.bounds = json_data.get("bounds")
         self.frequencies = json_data.get("frequencies")
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         return {"bounds": self.bounds, "frequencies": self.frequencies}
 
 
@@ -3143,12 +3157,12 @@ def __init__(self, json_data=None):
             self.cell_target_frequencies = json_data.get("cellTargetFrequencies")
             self.cell_interests = json_data.get("cellInterests")
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         # Write data grid type and dimensions
         report = {
             "isSupervised": self.is_supervised,
-            "dimensions": [dimension.to_json() for dimension in self.dimensions],
+            "dimensions": [dimension.to_dict() for dimension in self.dimensions],
         }
 
         # Write data grid cells
@@ -3186,7 +3200,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3197,7 +3211,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3403,13 +3417,13 @@ def __init__(self, json_data=None):
             default_group_index = json_data["defaultGroupIndex"]
             self.partition[default_group_index].is_default_part = True
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "variable": self.variable,
             "type": self.type,
             "partitionType": self.partition_type,
-            "partition": [part.to_json() for part in self.partition],
+            "partition": [part.to_dict() for part in self.partition],
         }
 
         if self.partition_type == "Value groups":
@@ -3428,7 +3442,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3439,7 +3453,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3533,8 +3547,8 @@ def part_type(self):
         """
         return "Interval"
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         if not self.is_missing:
             return [self.lower_bound, self.upper_bound]
         return []
@@ -3544,7 +3558,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3555,7 +3569,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3611,8 +3625,8 @@ def part_type(self):
         """
         return "Value"
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         return self.value
 
     def write_report_line(self, writer):  # pragma: no cover
@@ -3620,7 +3634,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3631,7 +3645,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3691,8 +3705,8 @@ def part_type(self):
         """
         return "Value group"
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         return self.values
 
     def write_report_line(self, writer):  # pragma: no cover
@@ -3700,7 +3714,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3711,7 +3725,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3822,12 +3836,12 @@ def is_detailed(self):
         """
         return self.selected_variables is not None
 
-    def to_json(self, details=False):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self, details=False):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         if details and self.is_detailed() and self.selected_variables is not None:
             return {
                 "selectedVariables": [
-                    selected_variable.to_json()
+                    selected_variable.to_dict()
                     for selected_variable in self.selected_variables
                 ]
             }
@@ -3846,7 +3860,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         The header is the same for all variable types.
@@ -3859,7 +3873,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3875,7 +3889,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3886,7 +3900,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3902,7 +3916,7 @@ def write_report_details(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -3913,7 +3927,7 @@ def write_report_details(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -3975,8 +3989,8 @@ def __init__(self, json_data=None):
         self.weight = json_data.get("weight")
         self.importance = json_data.get("importance")
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "preparedName": self.prepared_name,
             "name": self.name,
@@ -3995,7 +4009,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4006,7 +4020,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -4024,7 +4038,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4035,7 +4049,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -4211,14 +4225,14 @@ def get_metric(self, metric_name):
             )
         return metric
 
-    def to_json(self, details=False):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self, details=False):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         if details and self.is_detailed():
             report = {}
             if self.data_grid is not None:
-                report["dataGrid"] = self.data_grid.to_json()
+                report["dataGrid"] = self.data_grid.to_dict()
             if self.confusion_matrix is not None:
-                report["confusionMatrix"] = self.confusion_matrix.to_json()
+                report["confusionMatrix"] = self.confusion_matrix.to_dict()
         else:
             report = {
                 "rank": self.rank,
@@ -4255,7 +4269,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4266,7 +4280,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -4292,7 +4306,7 @@ def write_report_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4303,7 +4317,7 @@ def write_report_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -4321,7 +4335,7 @@ def write_report_details(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4332,7 +4346,7 @@ def write_report_details(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -4388,8 +4402,8 @@ def __init__(self, json_data=None):
         self.values = json_data.get("values", [])
         self.matrix = json_data.get("matrix", [])
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
 
         return {"values": self.values, "matrix": self.matrix}
 
@@ -4398,7 +4412,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
 
         Parameters
@@ -4409,7 +4423,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index 7fbd5199..0835519f 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -23,9 +23,10 @@
     |- cells      -> list of CoclusteringCell
 
     CoclusteringDimension
-    |- parts        -> list of CoclusteringDimensionPart
-    |- clusters     -> list of CoclusteringCluster
-    |- root_cluster -> CoclusteringCluster
+    |- parts                    -> list of CoclusteringDimensionPart
+    |- variable_part_dimensions -> list of CoclusteringDimension
+    |- clusters                 -> list of CoclusteringCluster
+    |- root_cluster             -> CoclusteringCluster
 
     CoclusteringDimensionPartValueGroup
     |- values -> list of CoclusteringDimensionPartValue
@@ -37,8 +38,8 @@
     |- child_cluster2  |
 
 To have a complete illustration of the access to the information of all classes in this
-module look at their ``write_report`` methods which write TSV (tab separated values)
-reports.
+module look at their ``to_dict`` methods which write Python dictionaries in the
+same format as the Khiops JSON reports.
 """
 import inspect
 import io
@@ -96,13 +97,13 @@ def __init__(self, json_data=None):
         else:
             self.coclustering_report = None
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
-        report = super().to_json()
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
+        report = super().to_dict()
         if self.short_description is not None:
             report["shortDescription"] = self.short_description
         if self.coclustering_report is not None:
-            report["coclusteringReport"] = self.coclustering_report.to_json()
+            report["coclusteringReport"] = self.coclustering_report.to_dict()
         return report
 
     def write_report_file(self, report_file_path):  # pragma: no cover
@@ -110,7 +111,7 @@ def write_report_file(self, report_file_path):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -132,7 +133,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -142,7 +143,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -373,8 +374,8 @@ def get_dimension(self, dimension_name):
         """
         return self._dimensions_by_name[dimension_name]
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         # Compute cellPartIndexes
         cell_parts_indexes = []
         for cell in self.cells:
@@ -406,15 +407,15 @@ def to_json(self):
         report = {
             "summary": report_summary,
             "dimensionSummaries": [
-                dimension.to_json(report_type="summary")
+                dimension.to_dict(report_type="summary")
                 for dimension in self.dimensions
             ],
             "dimensionPartitions": [
-                dimension.to_json(report_type="partition")
+                dimension.to_dict(report_type="partition")
                 for dimension in self.dimensions
             ],
             "dimensionHierarchies": [
-                dimension.to_json(report_type="hierarchy")
+                dimension.to_dict(report_type="hierarchy")
                 for dimension in self.dimensions
             ],
             "cellPartIndexes": cell_parts_indexes,
@@ -427,7 +428,7 @@ def write_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -437,7 +438,7 @@ def write_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -455,7 +456,7 @@ def write_dimensions(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -465,7 +466,7 @@ def write_dimensions(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -481,7 +482,7 @@ def write_coclustering_stats(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -491,7 +492,7 @@ def write_coclustering_stats(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -517,7 +518,7 @@ def write_bounds(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -527,7 +528,7 @@ def write_bounds(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -553,7 +554,7 @@ def write_hierarchies(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -563,7 +564,7 @@ def write_hierarchies(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -576,7 +577,7 @@ def write_compositions(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -586,7 +587,7 @@ def write_compositions(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -599,7 +600,7 @@ def write_cells(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -609,7 +610,7 @@ def write_cells(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -631,7 +632,7 @@ def write_annotations(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -641,7 +642,7 @@ def write_annotations(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1001,8 +1002,8 @@ def get_cluster(self, cluster_name):
         """
         return self._clusters_by_name[cluster_name]
 
-    def to_json(self, report_type):
-        """Serialize object instance to the Khiops JSON format
+    def to_dict(self, report_type):
+        """Transforms this instance to a dict with the Khiops JSON file structure
 
         Parameters
         ----------
@@ -1031,9 +1032,9 @@ def to_json(self, report_type):
                 "type": self.type,
             }
             if self.type == "Numerical":
-                report["intervals"] = [part.to_json() for part in self.parts]
+                report["intervals"] = [part.to_dict() for part in self.parts]
             elif self.type == "Categorical":
-                report["valueGroups"] = [part.to_json() for part in self.parts]
+                report["valueGroups"] = [part.to_dict() for part in self.parts]
 
                 # Get default group index
                 for i, part in enumerate(self.parts):
@@ -1046,11 +1047,11 @@ def to_json(self, report_type):
                 if self.is_variable_part:
                     report["innerVariables"] = {
                         "dimensionSummaries": [
-                            dimension.to_json(report_type="summary")
+                            dimension.to_dict(report_type="summary")
                             for dimension in self.variable_part_dimensions
                         ],
                         "dimensionPartitions": [
-                            dimension.to_json(report_type="partition")
+                            dimension.to_dict(report_type="partition")
                             for dimension in self.variable_part_dimensions
                         ],
                     }
@@ -1059,7 +1060,7 @@ def to_json(self, report_type):
             report = {
                 "name": self.name,
                 "type": self.type,
-                "clusters": [cluster.to_json() for cluster in self.clusters],
+                "clusters": [cluster.to_dict() for cluster in self.clusters],
             }
             return report
         else:
@@ -1070,7 +1071,7 @@ def write_dimension_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1080,7 +1081,7 @@ def write_dimension_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1099,7 +1100,7 @@ def write_dimension_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1109,7 +1110,7 @@ def write_dimension_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1128,7 +1129,7 @@ def write_hierarchy(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1138,7 +1139,7 @@ def write_hierarchy(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1157,7 +1158,7 @@ def write_composition(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1167,7 +1168,7 @@ def write_composition(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1202,7 +1203,7 @@ def write_annotation(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1212,7 +1213,7 @@ def write_annotation(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1249,7 +1250,7 @@ def write_hierarchy_structure_report_file(
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1259,7 +1260,7 @@ def write_hierarchy_structure_report_file(
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1371,8 +1372,8 @@ def __init__(self, json_data=None):
         self.is_left_open = False
         self.is_right_open = False
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "cluster": self.cluster_name,
         }
@@ -1487,8 +1488,8 @@ def __str__(self):
         label += "}"
         return label
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "cluster": self.cluster_name,
             "values": [value.value for value in self.values],
@@ -1618,8 +1619,8 @@ def __init__(self, json_data=None):
         self.child_cluster2 = None
         self.leaf_part = None
 
-    def to_json(self):
-        """Serialize object instance to the Khiops JSON format"""
+    def to_dict(self):
+        """Transforms this instance to a dict with the Khiops JSON file structure"""
         report = {
             "cluster": self.name,
             "parentCluster": self.parent_cluster_name,
@@ -1641,7 +1642,7 @@ def write_hierarchy_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1651,7 +1652,7 @@ def write_hierarchy_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1669,7 +1670,7 @@ def write_hierarchy_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1679,7 +1680,7 @@ def write_hierarchy_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1697,7 +1698,7 @@ def write_annotation_header_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1707,7 +1708,7 @@ def write_annotation_header_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1723,7 +1724,7 @@ def write_annotation_line(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1733,7 +1734,7 @@ def write_annotation_line(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
@@ -1752,7 +1753,7 @@ def write_hierarchy_structure_report(self, writer):  # pragma: no cover
 
         .. warning::
             This method is *deprecated* since Khiops 11.0.0 and will be removed in
-            Khiops 12. Use the `.to_json` method instead.
+            Khiops 12. Use the `.to_dict` method instead.
 
         Parameters
         ----------
@@ -1762,7 +1763,7 @@ def write_hierarchy_structure_report(self, writer):  # pragma: no cover
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_json"
+                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
             )
         )
 
diff --git a/khiops/core/internals/io.py b/khiops/core/internals/io.py
index 56a6b9cd..77d69b8b 100644
--- a/khiops/core/internals/io.py
+++ b/khiops/core/internals/io.py
@@ -246,7 +246,7 @@ def create_output_file_writer(self, stream):
             else:
                 return KhiopsOutputWriter(stream, force_ansi=True)
 
-    def to_json(self):
+    def to_dict(self):
         """Serialize object instance to the Khiops JSON format"""
         report = {
             "tool": self.tool,
@@ -271,7 +271,7 @@ def write_khiops_json_file(self, json_file_path):
         """
         # Serialize JSON data to string
         # Do not escape non-ASCII Unicode characters
-        json_string = json.dumps(self.to_json(), ensure_ascii=False)
+        json_string = json.dumps(self.to_dict(), ensure_ascii=False)
         with io.BytesIO() as json_stream:
             writer = self.create_output_file_writer(json_stream)
             writer.write(json_string)
diff --git a/tests/test_core.py b/tests/test_core.py
index 2140130d..0a17e041 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -36,7 +36,7 @@ class KhiopsCoreIOTests(unittest.TestCase):
     def _assert_report_is_dumped_to_correct_json(self, report, ref_json_report):
         # Dump the report as JSON (4-space indented and keys sorted in
         # lexicographic order)
-        output_json = report.to_json()
+        output_json = report.to_dict()
         output_json_string = json.dumps(output_json, indent=4, sort_keys=True)
 
         # Dump the reference JSON report (4-space indented and keys sorted in

From 6e38f1468de4bd90010db92a2061e4a936905aaf Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Thu, 22 May 2025 20:29:31 +0200
Subject: [PATCH 14/18] Reorder PreparationReport methods: put get_tree after
 get_variable_statistics

---
 khiops/core/analysis_results.py | 40 ++++++++++++++++-----------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 862d5dd3..56ccadf9 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -561,26 +561,6 @@ def __init__(self, json_data=None):
             self.trees.append(tree)
             self._trees_by_name[tree.name] = tree
 
-    def get_tree(self, tree_name):
-        """Returns the tree with the specified name
-
-        Parameters
-        ----------
-        tree_name : str
-            Name of the tree.
-
-        Returns
-        -------
-        `Tree`
-            The tree which has the specified name.
-
-        Raises
-        ------
-        `KeyError`
-            If no tree with the specified name exists.
-        """
-        return self._trees_by_name[tree_name]
-
     def get_variable_names(self):
         """Returns the names of the variables analyzed during the preparation
 
@@ -611,6 +591,26 @@ def get_variable_statistics(self, variable_name):
         """
         return self._variables_statistics_by_name[variable_name]
 
+    def get_tree(self, tree_name):
+        """Returns the tree with the specified name
+
+        Parameters
+        ----------
+        tree_name : str
+            Name of the tree.
+
+        Returns
+        -------
+        `Tree`
+            The tree which has the specified name.
+
+        Raises
+        ------
+        `KeyError`
+            If no tree with the specified name exists.
+        """
+        return self._trees_by_name[tree_name]
+
     def to_dict(self):
         """Transforms this instance to a dict with the Khiops JSON file structure"""
         report_summary = {

From cbbe55241b8b2a4e26ab0995351c8886168adc73 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Thu, 22 May 2025 14:59:30 +0200
Subject: [PATCH 15/18] Use plain method names in deprecation warnings for more
 code readability

---
 khiops/core/analysis_results.py     | 145 +++++-----------------------
 khiops/core/coclustering_results.py | 115 +++++-----------------
 2 files changed, 48 insertions(+), 212 deletions(-)

diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py
index 56ccadf9..c58ccd71 100644
--- a/khiops/core/analysis_results.py
+++ b/khiops/core/analysis_results.py
@@ -83,7 +83,6 @@
 module look at their ``to_dict`` methods which write Python dictionaries in the
 same format as the Khiops JSON reports.
 """
-import inspect
 import io
 import warnings
 
@@ -242,9 +241,7 @@ def write_report_file(self, report_file_path):  # pragma: no cover
             Path of the output TSV report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
-        )
+        warnings.warn(deprecation_message("write_report_file", "12.0.0"))
 
         # Write report to file
         with open(report_file_path, "wb") as report_file:
@@ -293,11 +290,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
             Output stream or writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Check input writer/stream type
         if isinstance(stream_or_writer, io.IOBase):
@@ -774,11 +767,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("Report\tPreparation")
@@ -1165,11 +1154,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("Report\tBivariate preparation")
@@ -1406,11 +1391,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("Report\tModeling")
@@ -1843,11 +1824,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer object.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write report header
         writer.write("Report\t")
@@ -2215,9 +2192,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_report_header_line", "12.0.0", "to_dict")
         )
 
         # Write report header
@@ -2255,11 +2230,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write common attributes
         writer.write(f"{self.rank}\t")
@@ -2333,11 +2304,7 @@ def write_report_details(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict"))
 
         # Write report if detailed report is available
         if self.is_detailed():
@@ -2534,9 +2501,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_report_header_line", "12.0.0", "to_dict")
         )
 
         # Write identifier column names
@@ -2579,11 +2544,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write identifier attributes
         writer.write(f"{self.rank}\t")
@@ -2625,11 +2586,7 @@ def write_report_details(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict"))
 
         # Write report if detailed report is available
         if self.is_detailed():
@@ -3209,11 +3166,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write data grid type
         writer.write("Data grid\t")
@@ -3451,11 +3404,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write report
         writer.write(f"{self.variable}\t")
@@ -3567,11 +3516,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write part label
         writer.write(str(self))
@@ -3643,11 +3588,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write object value
         writer.writeln(str(self))
@@ -3723,11 +3664,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write part label
         writer.write(str(self))
@@ -3872,9 +3809,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_report_header_line", "12.0.0", "to_dict")
         )
 
         # Write report header line
@@ -3898,11 +3833,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write report line
         writer.write(f"{self.rank}\t")
@@ -3925,11 +3856,7 @@ def write_report_details(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict"))
 
         # Write detailed report header if available
         if self.is_detailed():
@@ -4019,9 +3946,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_report_header_line", "12.0.0", "to_dict")
         )
 
         # Write report header
@@ -4047,11 +3972,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write report line
         writer.write(f"{self.prepared_name}\t")
@@ -4279,9 +4200,7 @@ def write_report_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_report_header_line", "12.0.0", "to_dict")
         )
 
         # Write report header
@@ -4315,11 +4234,7 @@ def write_report_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict"))
 
         # Write report line
         writer.write(f"{self.rank}\t")
@@ -4344,11 +4259,7 @@ def write_report_details(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict"))
 
         # Write detailed report if available
         if self.is_detailed():
@@ -4421,11 +4332,7 @@ def write_report(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("Confusion matrix")
diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index 0835519f..15b086c6 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -41,7 +41,6 @@
 module look at their ``to_dict`` methods which write Python dictionaries in the
 same format as the Khiops JSON reports.
 """
-import inspect
 import io
 import warnings
 
@@ -119,9 +118,7 @@ def write_report_file(self, report_file_path):  # pragma: no cover
             Path of the output TSV report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
-        )
+        warnings.warn(deprecation_message("write_report_file", "12.0.0"))
 
         # Write report to file
         with open(report_file_path, "wb") as report_file:
@@ -141,11 +138,7 @@ def write_report(self, stream_or_writer):  # pragma: no cover
             Output stream or writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Check input writer/stream type
         if isinstance(stream_or_writer, io.IOBase):
@@ -436,11 +429,7 @@ def write_report(self, writer):  # pragma: no cover
             Output stream or writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict"))
 
         # Write each section
         self.write_dimensions(writer)
@@ -464,11 +453,7 @@ def write_dimensions(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_dimensions", "12.0.0", "to_dict"))
 
         # Write dimension report
         writer.writeln(f"Dimensions\t{len(self.dimensions)}")
@@ -491,9 +476,7 @@ def write_coclustering_stats(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_coclustering_stats", "12.0.0", "to_dict")
         )
 
         # Write report
@@ -526,11 +509,7 @@ def write_bounds(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_bounds", "12.0.0", "to_dict"))
 
         # Compute number of numerical dimensions
         numerical_dimension_number = 0
@@ -562,11 +541,7 @@ def write_hierarchies(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_hierarchies", "12.0.0", "to_dict"))
 
         # Write dimension hierarchy report for each dimension
         for cc_dimension in self.dimensions:
@@ -585,11 +560,7 @@ def write_compositions(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_compositions", "12.0.0", "to_dict"))
 
         # Write dimension composition report for each dimension
         for cc_dimension in self.dimensions:
@@ -608,11 +579,7 @@ def write_cells(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_cells", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("")
@@ -640,11 +607,7 @@ def write_annotations(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_annotations", "12.0.0", "to_dict"))
 
         # Decide whether annotation sections need to be reported
         need_report = False
@@ -1080,9 +1043,7 @@ def write_dimension_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_dimension_header_line", "12.0.0", "to_dict")
         )
 
         # Write dimension report header
@@ -1108,11 +1069,7 @@ def write_dimension_line(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_dimension_line", "12.0.0", "to_dict"))
 
         # Write dimension report line
         writer.write(f"{self.name}\t")
@@ -1137,11 +1094,7 @@ def write_hierarchy(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_hierarchy", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("")
@@ -1166,11 +1119,7 @@ def write_composition(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_composition", "12.0.0", "to_dict"))
 
         # Write only categorical dimensions
         if self.type == "Categorical":
@@ -1211,11 +1160,7 @@ def write_annotation(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_annotation", "12.0.0", "to_dict"))
 
         # Write header
         writer.writeln("")
@@ -1260,7 +1205,7 @@ def write_hierarchy_structure_report_file(
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
             deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
+                "write_hierarchy_structure_report_file", "12.0.0", "to_dict"
             )
         )
 
@@ -1651,9 +1596,7 @@ def write_hierarchy_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_hierarchy_header_line", "12.0.0", "to_dict")
         )
 
         # Write report header
@@ -1678,11 +1621,7 @@ def write_hierarchy_line(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_hierarchy_line", "12.0.0", "to_dict"))
 
         # Write hierarchy report line
         writer.write(f"{self.name}\t")
@@ -1707,9 +1646,7 @@ def write_annotation_header_line(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_annotation_header_line", "12.0.0", "to_dict")
         )
 
         # Write annotation report header
@@ -1732,11 +1669,7 @@ def write_annotation_line(self, writer):  # pragma: no cover
             Output writer for the report file.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
-        )
+        warnings.warn(deprecation_message("write_annotation_line", "12.0.0", "to_dict"))
 
         # Write annotation report line
         writer.write(f"{self.name}\t")
@@ -1762,9 +1695,7 @@ def write_hierarchy_structure_report(self, writer):  # pragma: no cover
         """
         # Warn the user that this method is deprecated and will be removed
         warnings.warn(
-            deprecation_message(
-                inspect.currentframe().f_code.co_name, "12.0.0", "to_dict"
-            )
+            deprecation_message("write_hierarchy_structure_report", "12.0.0", "to_dict")
         )
 
         # Write first child cluster
@@ -1814,9 +1745,7 @@ def write_line(self, writer):  # pragma: no cover
             Output writer.
         """
         # Warn the user that this method is deprecated and will be removed
-        warnings.warn(
-            deprecation_message(inspect.currentframe().f_code.co_name, "12.0.0")
-        )
+        warnings.warn(deprecation_message("write_line", "12.0.0"))
 
         # Write part report line
         for part in self.parts:

From 6319ae26eec0fa97c6d6925012078ef6a19bdaa8 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 20 May 2025 17:57:02 +0200
Subject: [PATCH 16/18] Update samples version to 11.0.0 in
 `kh-download-samples`

closes #409
---
 khiops/tools.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/khiops/tools.py b/khiops/tools.py
index f6de417a..e1f1699a 100644
--- a/khiops/tools.py
+++ b/khiops/tools.py
@@ -73,7 +73,7 @@ def kh_samples_entry_point():  # pragma: no cover
 
 
 # Samples version: To be updated when khiops-samples does
-DEFAULT_SAMPLES_VERSION = "10.2.4"
+DEFAULT_SAMPLES_VERSION = "11.0.0"
 
 
 def kh_download_datasets_entry_point():

From b296bdb649bb0dc9193de477c553d51c67e07d97 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Fri, 16 May 2025 14:36:45 +0200
Subject: [PATCH 17/18] Remove tools auto-generated RST documentation files
 upon doc cleaning

---
 doc/clean-doc | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/clean-doc b/doc/clean-doc
index b030d72d..bac977a8 100755
--- a/doc/clean-doc
+++ b/doc/clean-doc
@@ -75,6 +75,7 @@ parse_commandline "$@"
 rm -v core/generated/*.rst
 rm -v sklearn/generated/*.rst
 rm -v internal/generated/*.rst
+rm -v tools/generated/*.rst
 sphinx-build -M clean . _build
 
 if [[ $_arg_clean_tutorial == "on" ]]

From 1e306b2af7dde3f66a4bf70f152ff0dbce919e57 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Fri, 23 May 2025 19:12:21 +0200
Subject: [PATCH 18/18] Dump coclustering JSON report keys in the expected
 order

Thus, the `write_khiops_json_file` method can be used to dump the JSON
report with the keys exactly in the same order as expected by
MODL_Coclustering.

Thus, coclustering reports are now verbatim-identical to the reference
reports.
---
 khiops/core/coclustering_results.py | 121 ++++++++++++++++++++++++++++
 khiops/core/internals/io.py         |  81 ++++++++++++++++++-
 tests/test_core.py                  |  54 +++++++++++--
 3 files changed, 246 insertions(+), 10 deletions(-)

diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py
index 15b086c6..2bf55102 100644
--- a/khiops/core/coclustering_results.py
+++ b/khiops/core/coclustering_results.py
@@ -77,6 +77,127 @@ class CoclusteringResults(KhiopsJSONObject):
         Coclustering modeling report.
     """
 
+    # Set coclustering report order key specification
+    # pylint: disable=line-too-long
+    json_key_sort_spec = {
+        "tool": None,
+        "version": None,
+        "shortDescription": None,
+        "coclusteringReport": {
+            "summary": {
+                "instances": None,
+                "cells": None,
+                "nullCost": None,
+                "cost": None,
+                "level": None,
+                "initialDimensions": None,
+                "frequencyVariable": None,
+                "dictionary": None,
+                "database": None,
+                "samplePercentage": None,
+                "samplingMode": None,
+                "selectionVariable": None,
+                "selectionValue": None,
+            },
+            "dimensionSummaries": [
+                {
+                    "name": None,
+                    "isVarPart": None,
+                    "type": None,
+                    "parts": None,
+                    "initialParts": None,
+                    "values": None,
+                    "interest": None,
+                    "description": None,
+                    "min": None,
+                    "max": None,
+                },
+            ],
+            "dimensionPartitions": [
+                {
+                    "name": None,
+                    "type": None,
+                    "innerVariables": {
+                        "dimensionSummaries": [
+                            {
+                                "name": None,
+                                "type": None,
+                                "parts": None,
+                                "initialParts": None,
+                                "values": None,
+                                "interest": None,
+                                "description": None,
+                                "min": None,
+                                "max": None,
+                            }
+                        ],
+                        "dimensionPartitions": [
+                            {
+                                "name": None,
+                                "type": None,
+                                "intervals": [
+                                    {
+                                        "cluster": None,
+                                        "bounds": None,
+                                    }
+                                ],
+                                "valueGroups": [
+                                    {
+                                        "cluster": None,
+                                        "values": None,
+                                        "valueFrequencies": None,
+                                    }
+                                ],
+                                "defaultGroupIndex": None,
+                            }
+                        ],
+                    },
+                    "intervals": [
+                        {
+                            "cluster": None,
+                            "bounds": None,
+                        }
+                    ],
+                    "valueGroups": [
+                        {
+                            "cluster": None,
+                            "values": None,
+                            "valueFrequencies": None,
+                            "valueTypicalities": None,
+                        }
+                    ],
+                    "defaultGroupIndex": None,
+                },
+            ],
+            "dimensionHierarchies": [
+                {
+                    "name": None,
+                    "type": None,
+                    "clusters": [
+                        {
+                            "cluster": None,
+                            "parentCluster": None,
+                            "frequency": None,
+                            "interest": None,
+                            "hierarchicalLevel": None,
+                            "rank": None,
+                            "hierarchicalRank": None,
+                            "isLeaf": None,
+                            "shortDescription": None,
+                            "description": None,
+                        }
+                    ],
+                }
+            ],
+            "cellPartIndexes": None,
+            "cellFrequencies": None,
+        },
+        "khiops_encoding": None,
+        "ansi_chars": None,
+        "colliding_utf8_chars": None,
+    }
+    # pylint: enable=line-too-long
+
     def __init__(self, json_data=None):
         """See class docstring"""
         # Initialize super class
diff --git a/khiops/core/internals/io.py b/khiops/core/internals/io.py
index 77d69b8b..ad2590ed 100644
--- a/khiops/core/internals/io.py
+++ b/khiops/core/internals/io.py
@@ -145,13 +145,31 @@ class KhiopsJSONObject:
     sub_tool : str, optional
         Identifies the tool that originated the JSON file. Used by tools of the Khiops
         family such as PataText or Enneade.
+    json_key_sort_spec : dict, optional
+        Dictionary that specifies the order of the keys in the Khiops JSON report.
+        Its values are `None`, except when they are dictionaries themselves.
+
+        .. note::
+            This is a class attribute that can be set in subclasses, to specify
+            a key order when serializing the report in a JSON file, via the
+            ``write_khiops_json_file`` method.
+
     json_data : dict
         Python dictionary extracted from the Khiops JSON report file.
         **Deprecated** will be removed in Khiops 12.
     """
 
+    # Set default JSON key sort specification attribute
+    # Can be set in classes that specialize this class
+    json_key_sort_spec = None
+
     def __init__(self, json_data=None):
         """See class docstring"""
+        # Check the type of the json_key_sort_spec class attribute
+        assert self.json_key_sort_spec is None or isinstance(
+            self.json_key_sort_spec, dict
+        ), type_error_message("key_sort_spec", self.json_key_sort_spec, dict)
+
         # Check the type of json_data
         if json_data is not None and not isinstance(json_data, dict):
             raise TypeError(type_error_message("json_data", json_data, dict))
@@ -261,17 +279,76 @@ def to_dict(self):
             report["subTool"] = self.sub_tool
         return report
 
-    def write_khiops_json_file(self, json_file_path):
+    def _json_key_sort_by_spec(self, jdict, key_sort_spec=None):
+        # json_key_sort_spec must be set before using this method
+        assert self.json_key_sort_spec is not None
+
+        # Handle the base case with non-None key_sort_spec
+        sorted_jdict = {}
+        if key_sort_spec is None:
+            key_sort_spec = self.json_key_sort_spec
+
+        # Iterate over the current fields and recurse if necessary
+        for spec_key, spec_value in key_sort_spec.items():
+            if not (spec_value is None or isinstance(spec_value, (dict, list))):
+                raise ValueError(
+                    type_error_message(
+                        "specification value",
+                        spec_value,
+                        "'None' or dict or list",
+                    )
+                )
+            if spec_key in jdict:
+                json_value = jdict[spec_key]
+
+                # If json_value is not a dict, then:
+                # - if not list-like, then add it as such to the output dict
+                # - else, iterate on the list-like value
+                # else, recurse on the dict structure
+                if not isinstance(json_value, dict):
+                    if not isinstance(json_value, list):
+                        sorted_jdict[spec_key] = json_value
+                    else:
+                        sorted_jdict[spec_key] = []
+                        for json_el in json_value:
+                            if not isinstance(json_el, dict):
+                                sorted_jdict[spec_key].append(json_el)
+                            else:
+                                if isinstance(spec_value, list):
+                                    sorted_jdict[spec_key].append(
+                                        self._json_key_sort_by_spec(
+                                            json_el, key_sort_spec=spec_value[0]
+                                        )
+                                    )
+                else:
+                    sorted_jdict[spec_key] = self._json_key_sort_by_spec(
+                        json_value, key_sort_spec=spec_value
+                    )
+        return sorted_jdict
+
+    def write_khiops_json_file(self, json_file_path, _ensure_ascii=False):
         """Write the JSON data of the object to a Khiops JSON file
 
+        The JSON keys are sorted according to the
+        ``KhiopsJSONObject.json_key_sort_spec`` class attribute, if set.
+        Otherwise, the JSON keys are not sorted.
+
         Parameters
         ----------
         json_file_path : str
             Path to the Khiops JSON file.
+        _ensure_ascii : bool, default False
+            If True, then non-ASCII characters in the report are escaped. Otherwise,
+            they are dumped as-is.
         """
         # Serialize JSON data to string
         # Do not escape non-ASCII Unicode characters
-        json_string = json.dumps(self.to_dict(), ensure_ascii=False)
+        json_dict = self.to_dict()
+        if self.json_key_sort_spec is not None:
+            json_dict = self._json_key_sort_by_spec(json_dict)
+            json_string = json.dumps(json_dict, indent=4, ensure_ascii=_ensure_ascii)
+        else:
+            json_string = json.dumps(json_dict, indent=4, ensure_ascii=_ensure_ascii)
         with io.BytesIO() as json_stream:
             writer = self.create_output_file_writer(json_stream)
             writer.write(json_string)
diff --git a/tests/test_core.py b/tests/test_core.py
index 0a17e041..608c8b33 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -10,6 +10,7 @@
 import json
 import os
 import shutil
+import tempfile
 import textwrap
 import unittest
 import warnings
@@ -33,7 +34,45 @@
 class KhiopsCoreIOTests(unittest.TestCase):
     """Tests the reading/writing of files for the core module classes/functions"""
 
-    def _assert_report_is_dumped_to_correct_json(self, report, ref_json_report):
+    def _assert_coclustering_report_is_written_to_sorted_json_file(
+        self, cc_report, ref_json_report
+    ):
+        # Write the coclustering report to a JSON file, sorted according to
+        # the spec defined in the CoclusteringResults class
+        # Set _ensure_ascii, as non-ASCII characters are escaped in the reference
+        # reports
+        tmp_dir = tempfile.mkdtemp()
+        output_report = os.path.join(tmp_dir, "TestCoclustering.khcj")
+        cc_report.write_khiops_json_file(output_report, _ensure_ascii=True)
+
+        # Load JSON Khiops reports into Python dictionaries
+        with open(ref_json_report, encoding="utf-8") as ref_json_file:
+            ref_json = json.load(ref_json_file)
+        with open(output_report, encoding="utf-8") as output_json_file:
+            output_json = json.load(output_json_file)
+
+        # Dump reports with consistent indentation
+        ref_json_string = json.dumps(ref_json, indent=4)
+        output_json_string = json.dumps(output_json, indent=4)
+
+        # Succeed if the dumped reports are equal
+        if output_json_string == ref_json_string:
+            shutil.rmtree(tmp_dir)
+            return
+
+        # On failure print the differences
+        output_json_lines = output_json_string.splitlines(keepends=True)
+        ref_json_lines = ref_json_string.splitlines(keepends=True)
+        out_ref_diff = "".join(unified_diff(ref_json_lines, output_json_lines))
+        if out_ref_diff:
+            self.fail(
+                "CoclusteringResults JSON dump differs from reference "
+                f"'{ref_json_report}':\n{out_ref_diff}"
+            )
+
+    def _assert_analysis_report_is_dumped_to_correct_json(
+        self, report, ref_json_report
+    ):
         # Dump the report as JSON (4-space indented and keys sorted in
         # lexicographic order)
         output_json = report.to_dict()
@@ -54,11 +93,8 @@ def _assert_report_is_dumped_to_correct_json(self, report, ref_json_report):
         ref_json_lines = ref_json_string.splitlines(keepends=True)
         out_ref_diff = "".join(unified_diff(ref_json_lines, output_json_lines))
         if out_ref_diff:
-            report_type = (
-                "Analysis" if ref_json_report.endswith(".khj") else "Coclustering"
-            )
             self.fail(
-                f"{report_type}Results JSON dump differs from reference "
+                f"AnalysisResults JSON dump differs from reference "
                 f"'{ref_json_report}':\n{out_ref_diff}"
             )
 
@@ -111,12 +147,12 @@ def test_analysis_results(self):
                 elif report in reports_warn:
                     with self.assertWarns(UserWarning):
                         results = kh.read_analysis_results_file(ref_json_report)
-                        self._assert_report_is_dumped_to_correct_json(
+                        self._assert_analysis_report_is_dumped_to_correct_json(
                             results, ref_json_report
                         )
                 else:
                     results = kh.read_analysis_results_file(ref_json_report)
-                    self._assert_report_is_dumped_to_correct_json(
+                    self._assert_analysis_report_is_dumped_to_correct_json(
                         results, ref_json_report
                     )
 
@@ -152,7 +188,9 @@ def test_coclustering_results(self):
                         results = kh.read_coclustering_results_file(ref_json_report)
                 else:
                     results = kh.read_coclustering_results_file(ref_json_report)
-                self._assert_report_is_dumped_to_correct_json(results, ref_json_report)
+                self._assert_coclustering_report_is_written_to_sorted_json_file(
+                    results, ref_json_report
+                )
 
     def test_binary_dictionary_domain(self):
         """Test binary dictionary write"""