diff --git a/doc/clean-doc b/doc/clean-doc index b030d72d..bac977a8 100755 --- a/doc/clean-doc +++ b/doc/clean-doc @@ -75,6 +75,7 @@ parse_commandline "$@" rm -v core/generated/*.rst rm -v sklearn/generated/*.rst rm -v internal/generated/*.rst +rm -v tools/generated/*.rst sphinx-build -M clean . _build if [[ $_arg_clean_tutorial == "on" ]] diff --git a/khiops/core/analysis_results.py b/khiops/core/analysis_results.py index 593f7fca..c58ccd71 100644 --- a/khiops/core/analysis_results.py +++ b/khiops/core/analysis_results.py @@ -16,7 +16,9 @@ composition of sub-reports objects given by the following structure:: AnalysisResults - |- preparation_report -> PreparationReport + |- preparation_report | + |- text_preparation_report |-> PreparationReport + |- tree_preparation_report | |- bivariate_preparation_report -> BivariatePreparationReport |- modeling_report -> ModelingReport |- train_evaluation_report | @@ -28,20 +30,32 @@ `BivariatePreparationReport` are:: PreparationReport - |- variable_statistics -> list of VariableStatistics + |- variables_statistics -> list of VariableStatistics + |- trees -> list of Tree (only for tree_preparation_report) BivariatePreparationReport |- variable_pair_statistics -> list of VariablePairStatistics VariableStatistics - |- data_grid -> DataGrid + |- data_grid -> DataGrid + |- modl_histograms -> ModlHistograms VariablePairStatistics |- data_grid -> DataGrid + Tree + |- target_partition -> TargetPartition + |- nodes -> list of TreeNode + + TargetPartition + |- partition -> list of PartInterval + DataGrid |- dimensions -> list of DataGridDimension + ModlHistograms + |- histograms -> list of Histogram + DataGridDimension |- partition -> list of PartInterval OR | list of PartValue OR @@ -66,13 +80,14 @@ |- confusion_matrix -> ConfusionMatrix (classification only) To have a complete illustration of the access to the information of all classes in this -module look at their ``write_report`` methods which write TSV (tab separated values) -reports. +module look at their ``to_dict`` methods which write Python dictionaries in the +same format as the Khiops JSON reports. """ import io +import warnings from khiops.core.exceptions import KhiopsJSONError -from khiops.core.internals.common import type_error_message +from khiops.core.internals.common import deprecation_message, type_error_message from khiops.core.internals.io import ( KhiopsJSONObject, KhiopsOutputWriter, @@ -92,8 +107,8 @@ class AnalysisResults(KhiopsJSONObject): specified it returns an empty instance. .. note:: - See also the `.read_analysis_results_file` function from the core API to - obtain an instance of this class from a Khiops JSON file. + See also the `.read_analysis_results_file` function to obtain an instance + of this class from a Khiops JSON file. Attributes ---------- @@ -103,6 +118,8 @@ class AnalysisResults(KhiopsJSONObject): Version of the Khiops tool that generated the report. short_description : str Short description defined by the user. + khiops_encoding : str + Encoding of the Khiops report file. logs : list of tuples 2-tuples linking each sub-task name to a list containing the warnings and errors found during the execution of that sub-task. Available only if there were errors @@ -142,7 +159,7 @@ def __init__(self, json_data=None): ) # Initialize report basic data - self.short_description = json_data.get("shortDescription", "") + self.short_description = json_data.get("shortDescription") json_logs = json_data.get("logs", []) self.logs = [] for log in json_logs: @@ -157,6 +174,16 @@ def __init__(self, json_data=None): self.bivariate_preparation_report = BivariatePreparationReport( json_data["bivariatePreparationReport"] ) + self.text_preparation_report = None + if "textPreparationReport" in json_data: + self.text_preparation_report = PreparationReport( + json_data["textPreparationReport"] + ) + self.tree_preparation_report = None + if "treePreparationReport" in json_data: + self.tree_preparation_report = PreparationReport( + json_data["treePreparationReport"] + ) self.modeling_report = None if "modelingReport" in json_data: self.modeling_report = ModelingReport(json_data["modelingReport"]) @@ -185,6 +212,10 @@ def get_reports(self): reports = [] if self.preparation_report is not None: reports.append(self.preparation_report) + if self.text_preparation_report is not None: + reports.append(self.text_preparation_report) + if self.tree_preparation_report is not None: + reports.append(self.tree_preparation_report) if self.bivariate_preparation_report is not None: reports.append(self.bivariate_preparation_report) if self.modeling_report is not None: @@ -197,26 +228,70 @@ def get_reports(self): reports.append(self.evaluation_report) return reports - def write_report_file(self, report_file_path): + def write_report_file(self, report_file_path): # pragma: no cover """Writes a TSV report file with the object's information + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- report_file_path : str Path of the output TSV report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_file", "12.0.0")) + + # Write report to file with open(report_file_path, "wb") as report_file: report_file_writer = self.create_output_file_writer(report_file) self.write_report(report_file_writer) - def write_report(self, stream_or_writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = super().to_dict() + if self.short_description is not None: + report["shortDescription"] = self.short_description + if self.logs: + report["logs"] = [] + for task_name, messages in self.logs: + report["logs"].append({"taskName": task_name, "messages": messages}) + if self.preparation_report is not None: + report["preparationReport"] = self.preparation_report.to_dict() + if self.text_preparation_report is not None: + report["textPreparationReport"] = self.text_preparation_report.to_dict() + if self.tree_preparation_report is not None: + report["treePreparationReport"] = self.tree_preparation_report.to_dict() + if self.bivariate_preparation_report is not None: + report["bivariatePreparationReport"] = ( + self.bivariate_preparation_report.to_dict() + ) + if self.modeling_report is not None: + report["modelingReport"] = self.modeling_report.to_dict() + if self.train_evaluation_report is not None: + report["trainEvaluationReport"] = self.train_evaluation_report.to_dict() + if self.test_evaluation_report is not None: + report["testEvaluationReport"] = self.test_evaluation_report.to_dict() + if self.evaluation_report is not None: + report["evaluationReport"] = self.evaluation_report.to_dict() + return report + + def write_report(self, stream_or_writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- stream_or_writer : `io.IOBase` or `.KhiopsOutputWriter` Output stream or writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Check input writer/stream type if isinstance(stream_or_writer, io.IOBase): writer = self.create_output_file_writer(stream_or_writer) @@ -305,6 +380,8 @@ class PreparationReport: Name of the variable used to select training instances. selection_value : str Value of ``selection_variable`` to select training instance. + constructed_variable_number : int + Number of constructed variables. instance_number : int Number of training instances. learning_task : str @@ -325,7 +402,10 @@ class PreparationReport: target_stats_std_dev : float Standard deviation of a numerical target variable. target_stats_missing_number : int - Number of missing values for a numerical target variable. + Number of missing values for a numerical or categorical target variable. + target_stats_sparse_missing_number : int + Number of missing values for a sparse block of numerical or categorical target + variables. target_stats_mode : str Mode of a categorical target variable. target_stats_mode_frequency : int @@ -338,8 +418,14 @@ class PreparationReport: Number of variables analyzed. informative_variable_number : int *Supervised analysis only:* Number of informative variables. + selected_variable_number : int + Number of selected variables. + native_variable_number : int + Number of native variables. max_constructed_variables : int Maximum number of constructed variable specified for the analysis. + max_text_features : int + Maximum number of text features specified for the analysis. max_trees : int Maximum number of constructed trees specified for the analysis. max_pairs : int @@ -356,6 +442,8 @@ class PreparationReport: Coding length of the data given the null model. variables_statistics : list of `VariableStatistics` Variable statistics for each variable analyzed. + trees : list of `Tree` + Tree details for each tree built. """ def __init__(self, json_data=None): @@ -396,6 +484,8 @@ def __init__(self, json_data=None): self.sampling_mode = json_summary.get("samplingMode", "") self.selection_variable = json_summary.get("selectionVariable") self.selection_value = json_summary.get("selectionValue") + self.constructed_variable_number = json_summary.get("constructedVariables") + self.native_variable_number = json_summary.get("nativeVariables") # Initialize target descriptive stats for supervised tasks json_stats = json_summary.get("targetDescriptiveStats", {}) @@ -403,13 +493,14 @@ def __init__(self, json_data=None): json_target_values = json_summary.get("targetValues", {}) self.target_values = json_target_values.get("values") self.target_value_frequencies = json_target_values.get("frequencies") + self.target_stats_missing_number = json_stats.get("missingNumber") + self.target_stats_sparse_missing_number = json_stats.get("sparseMissingNumber") # Initialize regression only target stats self.target_stats_min = json_stats.get("min") self.target_stats_max = json_stats.get("max") self.target_stats_mean = json_stats.get("mean") self.target_stats_std_dev = json_stats.get("stdDev") - self.target_stats_missing_number = json_stats.get("missingNumber") # Initialize classification only target stats self.main_target_value = json_summary.get("mainTargetValue") @@ -418,15 +509,17 @@ def __init__(self, json_data=None): # Initialize other summary attributes self.evaluated_variable_number = json_summary.get("evaluatedVariables", 0) - self.informative_variable_number = json_summary.get("informativeVariables", 0) + self.informative_variable_number = json_summary.get("informativeVariables") + self.selected_variable_number = json_summary.get("selectedVariables") json_feature_eng = json_summary.get("featureEngineering", {}) self.max_constructed_variables = json_feature_eng.get( "maxNumberOfConstructedVariables" ) + self.max_text_features = json_feature_eng.get("maxNumberOfTextFeatures") self.max_trees = json_feature_eng.get("maxNumberOfTrees") self.max_pairs = json_feature_eng.get("maxNumberOfVariablePairs") - self.discretization = json_summary.get("discretization", "") - self.value_grouping = json_summary.get("valueGrouping", "") + self.discretization = json_summary.get("discretization") + self.value_grouping = json_summary.get("valueGrouping") # Cost of model (supervised case and non empty database) json_null_model = json_summary.get("nullModel", {}) @@ -452,6 +545,15 @@ def __init__(self, json_data=None): json_detailed_data = json_variables_detailed_statistics.get(stats.rank) stats.init_details(json_detailed_data) + # Initialize tree details + self.trees = [] + self._trees_by_name = {} + json_tree_details = json_data.get("treeDetails", {}).values() + for json_tree_detail in json_tree_details: + tree = Tree(json_tree_detail) + self.trees.append(tree) + self._trees_by_name[tree.name] = tree + def get_variable_names(self): """Returns the names of the variables analyzed during the preparation @@ -482,14 +584,191 @@ def get_variable_statistics(self, variable_name): """ return self._variables_statistics_by_name[variable_name] - def write_report(self, writer): + def get_tree(self, tree_name): + """Returns the tree with the specified name + + Parameters + ---------- + tree_name : str + Name of the tree. + + Returns + ------- + `Tree` + The tree which has the specified name. + + Raises + ------ + `KeyError` + If no tree with the specified name exists. + """ + return self._trees_by_name[tree_name] + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report_summary = { + "dictionary": self.dictionary, + "variables": { + "types": self.variable_types, + "numbers": self.variable_numbers, + }, + "database": self.database, + "instances": self.instance_number, + "learningTask": self.learning_task, + } + report = { + "reportType": "Preparation", + "summary": report_summary, + } + if self.sampling_mode != "": + # Note: We use `update` because |= is not available for Python 3.8 + report_summary.update( + { + "samplePercentage": self.sample_percentage, + "samplingMode": self.sampling_mode, + "selectionVariable": self.selection_variable, + "selectionValue": self.selection_value, + } + ) + + # Write classification specific attributes + if "Classification" in self.learning_task: + report_summary.update( + { + "targetVariable": self.target_variable, + "targetDescriptiveStats": { + "values": self.target_stats_values, + "mode": self.target_stats_mode, + "modeFrequency": self.target_stats_mode_frequency, + }, + } + ) + if self.target_values is not None: + report_summary["targetValues"] = { + "values": self.target_values, + "frequencies": self.target_value_frequencies, + } + if self.main_target_value is not None: + report_summary["mainTargetValue"] = self.main_target_value + + # Write regression specific attributes + if "Regression" in self.learning_task: + report_summary.update( + { + "targetVariable": self.target_variable, + "targetDescriptiveStats": { + "values": self.target_stats_values, + "min": self.target_stats_min, + "max": self.target_stats_max, + "mean": self.target_stats_mean, + "stdDev": self.target_stats_std_dev, + }, + } + ) + if self.target_values is not None: + report_summary["targetValues"] = { + "values": self.target_values, + "frequencies": self.target_value_frequencies, + } + if self.main_target_value is not None: + report_summary["mainTargetValue"] = self.main_target_value + + # Write common classification and regression specific attributes + if "Classification" in self.learning_task or "Regression" in self.learning_task: + if self.target_stats_missing_number is not None: + report_summary["targetDescriptiveStats"][ + "missingNumber" + ] = self.target_stats_missing_number + if self.target_stats_sparse_missing_number is not None: + report_summary["targetDescriptiveStats"][ + "sparseMissingNumber" + ] = self.target_stats_sparse_missing_number + if self.selected_variable_number is not None: + report_summary["selectedVariables"] = self.selected_variable_number + + # Write variable preparation summary attributes + if len(self.variable_types) > 0 and self.instance_number > 0: + report_summary["evaluatedVariables"] = self.evaluated_variable_number + if not ( + self.max_constructed_variables is None + and self.max_text_features is None + and self.max_trees is None + and self.max_pairs is None + ): + report_summary["featureEngineering"] = { + "maxNumberOfConstructedVariables": ( + self.max_constructed_variables or 0 + ), + "maxNumberOfTextFeatures": self.max_text_features or 0, + "maxNumberOfTrees": self.max_trees or 0, + "maxNumberOfVariablePairs": self.max_pairs or 0, + } + if self.informative_variable_number is not None: + report_summary["informativeVariables"] = ( + self.informative_variable_number + ) + if self.discretization is not None: + report_summary["discretization"] = self.discretization + if self.value_grouping is not None: + report_summary["valueGrouping"] = self.value_grouping + if self.constructed_variable_number is not None: + report_summary["constructedVariables"] = ( + self.constructed_variable_number + ) + if self.native_variable_number is not None: + report_summary["nativeVariables"] = self.native_variable_number + + # Write preparation cost information + if ( + "Unsupervised" not in self.learning_task + and self.null_model_construction_cost is not None + ): + report_summary["nullModel"] = { + "constructionCost": self.null_model_construction_cost, + "preparationCost": self.null_model_preparation_cost, + "dataCost": self.null_model_data_cost, + } + + # Write variables' statistics + if len(self.variables_statistics) > 0: + report["variablesStatistics"] = [ + variable_statistics.to_dict() + for variable_statistics in self.variables_statistics + ] + if any( + variable_statistics.is_detailed() + for variable_statistics in self.variables_statistics + ): + report["variablesDetailedStatistics"] = { + variable_statistics.rank: variable_statistics.to_dict(details=True) + for variable_statistics in self.variables_statistics + if variable_statistics.is_detailed() + } + + # Write trees + if len(self.trees) > 0: + report["treeDetails"] = { + self.get_variable_statistics(tree.name).rank: tree.to_dict() + for tree in self.trees + } + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write header writer.writeln("Report\tPreparation") writer.writeln("") @@ -513,6 +792,14 @@ def write_report(self, writer): writer.writeln(f"Instances\t{self.instance_number}") writer.writeln(f"Learning task\t{self.learning_task}") + # Write common attributes for classification and regression + if self.target_stats_missing_number is not None: + writer.writeln(f"\tMissing number\t{self.target_stats_missing_number}") + if self.target_stats_sparse_missing_number is not None: + writer.writeln( + f"\tSparse missing number\t{self.target_stats_sparse_missing_number}" + ) + # Write classification specific attributes if "Classification" in self.learning_task: writer.writeln(f"Target variable\t{self.target_variable}") @@ -536,7 +823,6 @@ def write_report(self, writer): writer.writeln(f"\tMax\t{self.target_stats_max}") writer.writeln(f"\tMean\t{self.target_stats_mean}") writer.writeln(f"\tStd dev\t{self.target_stats_std_dev}") - writer.writeln(f"\tMissing number\t{self.target_stats_missing_number}") # Write variable preparation summary attributes if len(self.variable_types) > 0 and self.instance_number > 0: writer.writeln(f"Evaluated variables\t{self.evaluated_variable_number}") @@ -546,6 +832,10 @@ def write_report(self, writer): "Max number of constructed variables\t" f"{self.max_constructed_variables}" ) + if self.max_text_features is not None: + writer.writeln( + "Max number of text features\t" f"{self.max_text_features}" + ) if self.max_trees is not None: writer.writeln(f"Max number of trees\t{self.max_trees}") if self.max_pairs is not None: @@ -633,6 +923,8 @@ class BivariatePreparationReport: Frequencies for each value in ``target_values`` (synchronized lists). evaluated_pair_number : int Number of variable pairs evaluated. + selected_pair_number : int + Number of variable pairs selected. informative_pair_number : int Number of informative variable pairs. A pair is considered informative if its level is greater than the sum of its components' levels. @@ -693,9 +985,12 @@ def __init__(self, json_data=None): json_target_values = json_summary.get("targetValues", {}) self.target_values = json_target_values.get("values") self.target_value_frequencies = json_target_values.get("frequencies") + self.target_stats_missing_number = json_stats.get("missingNumber") + self.target_stats_sparse_missing_number = json_stats.get("sparseMissingNumber") # Initialize the information of the pair evaluations self.evaluated_pair_number = json_summary.get("evaluatedVariablePairs") + self.selected_pair_number = json_summary.get("selectedVariablePairs") self.informative_pair_number = json_summary.get("informativeVariablePairs") # Initialize main attributes for all variables @@ -760,14 +1055,107 @@ def get_variable_pair_statistics(self, variable_name_1, variable_name_2): (variable_name_1, variable_name_2) ] - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report_summary = { + "dictionary": self.dictionary, + "variables": { + "types": self.variable_types, + "numbers": self.variable_numbers, + }, + "database": self.database, + "instances": self.instance_number, + "learningTask": self.learning_task, + } + report = { + "reportType": "BivariatePreparation", + "summary": report_summary, + } + + # Update report with data sampling specifications if available + if self.sampling_mode != "": + report_summary.update( + { + "samplePercentage": self.sample_percentage, + "samplingMode": self.sampling_mode, + "selectionVariable": self.selection_variable, + "selectionValue": self.selection_value, + } + ) + + # Write specific summary attributes for a classification task + if self.learning_task == "Classification analysis": + report_summary.update( + { + "targetVariable": self.target_variable, + "targetDescriptiveStats": { + "values": self.target_stats_values, + "mode": self.target_stats_mode, + "modeFrequency": self.target_stats_mode_frequency, + }, + } + ) + if self.target_values is not None: + report_summary["targetValues"] = { + "values": self.target_values, + "frequencies": self.target_value_frequencies, + } + if self.target_stats_missing_number is not None: + report_summary["targetDescriptiveStats"][ + "missingNumber" + ] = self.target_stats_missing_number + if self.target_stats_sparse_missing_number is not None: + report_summary["targetDescriptiveStats"][ + "sparseMissingNumber" + ] = self.target_stats_sparse_missing_number + if self.main_target_value is not None: + report_summary["mainTargetValue"] = self.main_target_value + + if self.evaluated_pair_number is not None: + report_summary["evaluatedVariablePairs"] = self.evaluated_pair_number + + if self.selected_pair_number is not None: + report_summary["selectedVariablePairs"] = self.selected_pair_number + + if self.informative_pair_number is not None: + report_summary["informativeVariablePairs"] = self.informative_pair_number + + # Write variables pairs' statistics + if len(self.variables_pairs_statistics) > 0: + report["variablesPairsStatistics"] = [ + variable_pair_statistics.to_dict() + for variable_pair_statistics in self.variables_pairs_statistics + ] + if any( + variable_pair_statistics.is_detailed() + for variable_pair_statistics in self.variables_pairs_statistics + ): + report["variablesPairsDetailedStatistics"] = { + variable_pair_statistics.rank: variable_pair_statistics.to_dict( + details=True + ) + for variable_pair_statistics in self.variables_pairs_statistics + if variable_pair_statistics.is_detailed() + } + + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write header writer.writeln("Report\tBivariate preparation") writer.writeln("") @@ -953,14 +1341,58 @@ def get_predictor_names(self): """ return list(self._trained_predictors_by_name.keys()) - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report_summary = { + "dictionary": self.dictionary, + "database": self.database, + "learningTask": self.learning_task, + "targetVariable": self.target_variable, + } + report = { + "reportType": "Modeling", + "summary": report_summary, + "trainedPredictors": [ + predictor.to_dict() for predictor in self.trained_predictors + ], + } + if any(predictor.is_detailed() for predictor in self.trained_predictors): + report["trainedPredictorsDetails"] = { + predictor.rank: predictor.to_dict(details=True) + for predictor in self.trained_predictors + if predictor.is_detailed() + } + if self.sampling_mode != "": + report_summary.update( + { + "samplePercentage": self.sample_percentage, + "samplingMode": self.sampling_mode, + "selectionVariable": self.selection_variable, + "selectionValue": self.selection_value, + } + ) + + if self.main_target_value is not None: + report_summary["mainTargetValue"] = self.main_target_value + + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write header writer.writeln("Report\tModeling") writer.writeln("") @@ -1305,14 +1737,95 @@ def get_snb_lift_curve(self, target_value): ) raise KeyError(target_value) - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report_summary = { + "dictionary": self.dictionary, + "database": self.database, + "instances": self.instance_number, + "learningTask": self.learning_task, + "targetVariable": self.target_variable, + } + report = { + "reportType": "Evaluation", + "evaluationType": self.evaluation_type, + "summary": report_summary, + "predictorsPerformance": [ + predictor_performance.to_dict() + for predictor_performance in self.predictors_performance + ], + } + if any( + predictor_performance.is_detailed() + for predictor_performance in self.predictors_performance + ): + report["predictorsDetailedPerformance"] = { + predictor_performance.rank: predictor_performance.to_dict(details=True) + for predictor_performance in self.predictors_performance + if predictor_performance.is_detailed() + } + + if self.sampling_mode != "": + report_summary.update( + { + "samplePercentage": self.sample_percentage, + "samplingMode": self.sampling_mode, + "selectionVariable": self.selection_variable, + "selectionValue": self.selection_value, + } + ) + + if self.main_target_value is not None: + report_summary["mainTargetValue"] = self.main_target_value + + # Write lift curves, one per target value and per classifier + if ( + self.learning_task.startswith("Classification") + and self.classification_target_values is not None + ): + report["liftCurves"] = [] + for i, target_value in enumerate(self.classification_target_values): + lift_curves = self.classification_lift_curves[i] + report["liftCurves"].append( + { + "targetValue": target_value, + "curves": [ + { + "classifier": lift_curve.name, + "values": lift_curve.values, + } + for lift_curve in lift_curves + ], + } + ) + + # Write REC curves, one per regressor + if ( + self.learning_task.startswith("Regression") + and self.regression_rec_curves is not None + ): + report["recCurves"] = [ + {"regressor": rec_curve.name, "values": rec_curve.values} + for rec_curve in self.regression_rec_curves + ] + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer object. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write report header writer.write("Report\t") writer.writeln(f"Evaluation\t{self.evaluation_type}") @@ -1458,6 +1971,8 @@ class VariableStatistics: Standard deviation of the variable. missing_number : int Number of missing values of the variable. + sparse_missing_number : int + Number of sparse missing values of the variable. mode : float Most common value. mode_frequency : int @@ -1479,6 +1994,9 @@ class VariableStatistics: Otherwise is set to ``None``. data_grid : `DataGrid` A density estimation of the partitioned variable with respect to the target. + modl_histograms : `ModlHistograms` + MODL optimal histograms for for numerical variables. Only for unsupervised + analysis. """ def __init__(self, json_data=None): @@ -1499,13 +2017,14 @@ def __init__(self, json_data=None): self.target_part_number = json_data.get("targetParts") self.part_number = json_data.get("parts") self.value_number = json_data.get("values", 0) + self.missing_number = json_data.get("missingNumber") + self.sparse_missing_number = json_data.get("sparseMissingNumber") # Initialize numerical variable attributes self.min = json_data.get("min") self.max = json_data.get("max") self.mean = json_data.get("mean") self.std_dev = json_data.get("stdDev") - self.missing_number = json_data.get("missingNumber") # Initialize categorical variable attributes self.mode = json_data.get("mode") @@ -1525,6 +2044,9 @@ def __init__(self, json_data=None): # Data grid for density estimation self.data_grid = None + # MODL optimal histograms for numerical data in unsupervised analysis + self.modl_histograms = None + # Input values and their frequencies in case of categorical variables # The input values may not be the exhaustive list of all the values # For scalability reasons, the least frequent values are not always present @@ -1557,6 +2079,11 @@ def init_details(self, json_data=None): self.input_values = json_input_values.get("values") self.input_value_frequencies = json_input_values.get("frequencies") + # Initialize MODL histograms if present in the JSON report + json_modl_histograms = json_data.get("modlHistograms") + if json_modl_histograms is not None: + self.modl_histograms = ModlHistograms(json_modl_histograms) + return self def is_detailed(self): @@ -1571,16 +2098,104 @@ def is_detailed(self): self.input_values is not None and self.input_value_frequencies is not None ) - def write_report_header_line(self, writer): + def to_dict(self, details=False): + """Transforms this instance to a dict with the Khiops JSON file structure""" + # Write report details if required and applicable + if details and self.is_detailed(): + report = {} + + # Write data grid + if self.data_grid is not None: + report["dataGrid"] = self.data_grid.to_dict() + + # Write input values and their frequencies + if self.input_values is not None: + report["inputValues"] = { + "values": self.input_values, + "frequencies": self.input_value_frequencies, + } + + # Write MODL histograms (unsupervised analysis) + if self.modl_histograms is not None: + report["modlHistograms"] = self.modl_histograms.to_dict() + return report + elif details is False: + report = { + "rank": self.rank, + "name": self.name, + "type": self.type, + "values": self.value_number, + "constructionCost": self.construction_cost, + } + + # Write level if available + if self.level is not None: + report["level"] = self.level + + # Write target part number if available + if self.target_part_number is not None: + report["targetParts"] = self.target_part_number + + # Write part number if available + if self.part_number is not None: + report["parts"] = self.part_number + + # Write missing number if available + if self.missing_number is not None: + report["missingNumber"] = self.missing_number + + # Write sparse missing number if available + if self.sparse_missing_number is not None: + report["sparseMissingNumber"] = self.sparse_missing_number + + # Write attributes specific to Numerical / Categorical types + if self.type == "Numerical": + report.update( + { + "min": self.min, + "max": self.max, + "mean": self.mean, + "stdDev": self.std_dev, + } + ) + elif self.type == "Categorical": + report.update({"mode": self.mode, "modeFrequency": self.mode_frequency}) + + # Write preparation cost only for the supervised case + if self.preparation_cost is not None: + report.update( + { + "preparationCost": self.preparation_cost, + "dataCost": self.data_cost, + } + ) + + # Write derivation rule if available + if self.derivation_rule is not None: + report["derivationRule"] = self.derivation_rule + return report + + def write_report_header_line(self, writer): # pragma: no cover """Writes the header line of a TSV report into a writer object The header is the same for all variable types. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_report_header_line", "12.0.0", "to_dict") + ) + + # Write report header writer.write("Rank\t") writer.write("Name\t") writer.write("Type\t") @@ -1593,6 +2208,7 @@ def write_report_header_line(self, writer): writer.write("Mean\t") writer.write("StdDev\t") writer.write("Missing number\t") + writer.write("Sparse missing number\t") writer.write("Mode\t") writer.write("Mode frequency\t") writer.write("Construction cost\t") @@ -1600,14 +2216,22 @@ def write_report_header_line(self, writer): writer.write("Data cost\t") writer.writeln("Derivation rule") - def write_report_line(self, writer): + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + # Write common attributes writer.write(f"{self.rank}\t") writer.write(f"{self.name}\t") @@ -1639,15 +2263,19 @@ def write_report_line(self, writer): writer.write(f"{self.mean}\t") writer.write(f"{self.std_dev}\t") writer.write(f"{self.missing_number}\t") + writer.write(f"{self.sparse_missing_number}\t") else: - writer.write("\t" * 5) + writer.write("\t" * 6) # Write attributes available only for categorical variables if self.type == "Categorical": + writer.write(f"{self.missing_number}\t") + writer.write(f"{self.sparse_missing_number}\t") writer.write(f"{self.mode}\t") writer.write(f"{self.mode_frequency}\t") else: - writer.write("\t\t") + writer.write("\t" * 2) + writer.write(f"{self.construction_cost}\t") # Write preparation cost only for the supervised case @@ -1662,14 +2290,23 @@ def write_report_line(self, writer): writer.write(self.derivation_rule) writer.writeln("") - def write_report_details(self, writer): + def write_report_details(self, writer): # pragma: no cover """Writes the details' attributes into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict")) + + # Write report if detailed report is available if self.is_detailed(): # Write header line writer.writeln("") @@ -1812,16 +2449,61 @@ def is_detailed(self): """ return self.data_grid is not None - def write_report_header_line(self, writer): + def to_dict(self, details=False): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = {} + if details and self.is_detailed(): + # write detailed report + report["dataGrid"] = self.data_grid.to_dict() + elif details is False: + report.update( + { + "rank": self.rank, + "name1": self.name1, + "name2": self.name2, + "level": self.level, + "variables": self.variable_number, + "parts1": self.part_number1, + "parts2": self.part_number2, + "cells": self.cell_number, + "constructionCost": self.construction_cost, + "preparationCost": self.preparation_cost, + "dataCost": self.data_cost, + } + ) + + # Supervised case: write level attributes + if self.delta_level is not None: + report.update( + { + "deltaLevel": self.delta_level, + "level1": self.level1, + "level2": self.level2, + } + ) + + return report + + def write_report_header_line(self, writer): # pragma: no cover """Writes the header line of a TSV report into a writer object The header is the same for all variable types. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_report_header_line", "12.0.0", "to_dict") + ) + # Write identifier column names writer.write("Rank\t") writer.write("Name 1\t") @@ -1848,14 +2530,22 @@ def write_report_header_line(self, writer): writer.write("Preparation cost\t") writer.writeln("Data cost") - def write_report_line(self, writer): + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + # Write identifier attributes writer.write(f"{self.rank}\t") writer.write(f"{self.name1}\t") @@ -1882,14 +2572,23 @@ def write_report_line(self, writer): writer.write(f"{self.preparation_cost}\t") writer.writeln(str(self.data_cost)) - def write_report_details(self, writer): + def write_report_details(self, writer): # pragma: no cover """Writes the details' attributes into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict")) + + # Write report if detailed report is available if self.is_detailed(): writer.writeln("") writer.writeln(f"Rank\t{self.rank}") @@ -1897,6 +2596,423 @@ def write_report_details(self, writer): self.data_grid.write_report(writer) +class Tree: + """A decision tree feature + + Parameters + ---------- + json_data : dict, optional + JSON data of a value associated to the rank key in the object found at the + ``treeDetails`` field within the ``treePreparationReport`` field of a Khiops + JSON report file. If not specified, it returns an empty instance. + + Attributes + ---------- + name : str + Name of the tree. + variable_number : int + Number of variables in the tree. + depth : int + Depth of the tree. + target_partition : `TargetPartition` + Summary of the target partition. For regression only. + nodes: list of `TreeNode` + Nodes of the tree. + """ + + def __init__(self, json_data=None): + """ "See class docstring""" + self.name = json_data.get("name") + self.variable_number = json_data.get("variableNumber") + self.depth = json_data.get("depth") + self.target_partition = None + if "targetPartition" in json_data: + self.target_partition = TargetPartition(json_data["targetPartition"]) + + # Initialize tree nodes as empty list + self.nodes = [] + + # Update node tree structure + json_tree_nodes = json_data.get("treeNodes") + self._update_nodes(json_tree_nodes, root=None) + + def _update_nodes(self, json_data, root=None): + self.nodes.append(TreeNode(json_data, parent_id=root)) + for json_node in json_data.get("childNodes", []): + self._update_nodes(json_node, root=json_data.get("nodeId")) + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "name": self.name, + "variableNumber": self.variable_number, + "depth": self.depth, + } + if self.target_partition is not None: + report["targetPartition"] = self.target_partition.to_dict() + if self.nodes: + report["treeNodes"] = self._nodes_to_json( + root_node=self.nodes[0], past_nodes=[] + ) + return report + + def _nodes_to_json(self, root_node, past_nodes): + report = root_node.to_dict() + past_nodes = [root_node] + json_child_nodes = [] + for node in self.nodes: + if node in past_nodes: + continue + if node.parent_id == root_node.id: + past_nodes.append(node) + json_child_nodes.append( + self._nodes_to_json(root_node=node, past_nodes=past_nodes) + ) + if json_child_nodes: + report["childNodes"] = json_child_nodes + return report + + +class TargetPartition: + """Target partition details (for regression trees only) + + Parameters + ---------- + json_data : dict, optional + JSON data of the ``targetPartition`` field of the ``treeDetails`` field of the + ``treePreparationReport`` field of a Khiops JSON report file. If not specified + it returns an empty instance. + + Attributes + ---------- + variable : str + Variable name. + type : "Numerical" (only possible value) + Variable type. + partition_type : "Intervals" (only possible value) + Partition type. + partition : list + The dimension parts. The list objects are of type `PartInterval`, as + ``partition_type`` is "Intervals" + frequencies : list of int + Frequencies of the intervals in the target partition. + """ + + def __init__(self, json_data=None): + """See class docstring""" + # Check the type of json_data + if json_data is not None and not isinstance(json_data, dict): + raise TypeError(type_error_message("json_data", json_data, dict)) + + # Transform to an empty dictionary if json_data is not specified + if json_data is None: + json_data = {} + + # Initialize basic attributes + self.variable = json_data.get("variable", "") + self.type = json_data.get("type", "") + self.partition_type = json_data.get("partitionType", "") + + # Initialize partition + self.partition = [] + if "partition" in json_data: + json_partition = json_data["partition"] + if not isinstance(json_partition, list): + raise KhiopsJSONError("'partition' must be a list") + else: + json_partition = [] + + # Numerical partition + if self.partition_type == "Intervals": + # Check the length of the partition + if len(json_partition) < 1: + raise KhiopsJSONError( + "'partition' for interval must have length at least 1" + ) + + # Initialize intervals + self.partition = [PartInterval(json_part) for json_part in json_partition] + + # Initialize open interval flags + first_interval = self.partition[0] + if first_interval.is_missing: + first_interval = self.partition[1] + first_interval.is_left_open = True + last_interval = self.partition[-1] + last_interval.is_right_open = True + + else: + raise KhiopsJSONError("'partitionType' must be 'Intervals'") + + # Set partition element frequencies + self.frequencies = json_data.get("frequencies", []) + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "variable": self.variable, + "type": self.type, + "partitionType": self.partition_type, + "partition": [part.to_dict() for part in self.partition], + } + if self.frequencies: + report["frequencies"] = self.frequencies + return report + + +class TreeNode: + """A decision tree node + + Parameters + ---------- + json_data : dict, optional + JSON data of either: + + - the ``treeNodes`` field of the ``treeDetails`` field of the + ``treePreparationReport`` field of a Khiops JSON report file, or + - an element of the ``childNodes`` field of the ``treeNodes`` field of the + ``treeDetails`` field of the ``treePreparationReport`` field of a Khiops + JSON report file. + + If not specified it returns an empty instance + parent_id : str, optional + Identifier of the parent ``TreeNode`` instance. Not set for "root" nodes. + + Attributes + ---------- + id : str + Identifier of the ``TreeNode`` instance. + parent_id : str, optional + Value of the ``id`` field of another ``TreeNode`` instance. Not set for "root" + nodes. + variable : str + Name of the tree variable. + type : str + Khiops type of the tree variable. + partition : list + The tree variable partition. + default_group_index : int + The index of the default variable group. + target_values : list of str + Values of a categorical tree target variable. + target_value_frequencies : list of int + Frequencies of each tree target value. Synchronized with ``target_values``. + """ + + def __init__(self, json_data=None, parent_id=None): + """See class docstring""" + # Check the type of json_data + if json_data is not None and not isinstance(json_data, dict): + raise TypeError(type_error_message("json_data", json_data, dict)) + + # Transform to an empty dictionary if json_data is not specified + if json_data is None: + json_data = {} + + # Set the parent node ID + self.parent_id = parent_id + + # Set the target values if applicable + json_target_values = json_data.get("targetValues") + if json_target_values is not None: + self.target_values = json_target_values.get("values") + self.target_value_frequencies = json_target_values.get("frequencies") + else: + self.target_values = None + self.target_value_frequencies = None + + # Set the remainder of the node attributes + self.id = json_data.get("nodeId") + self.variable = json_data.get("variable") + self.type = json_data.get("type") + self.partition = json_data.get("partition") + self.default_group_index = json_data.get("defaultGroupIndex") + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + + report = {"nodeId": self.id} + if self.variable is not None: + report["variable"] = self.variable + if self.type is not None: + report["type"] = self.type + if self.partition is not None: + report["partition"] = self.partition + if self.default_group_index is not None: + report["defaultGroupIndex"] = self.default_group_index + if self.target_values is not None: + report["targetValues"] = { + "values": self.target_values, + "frequencies": self.target_value_frequencies, + } + return report + + +class ModlHistograms: + """A histogram density estimation for numerical data + + A MODL histogram is a regularized piecewise-constant estimation of the probability + density for numerical data. It has various refinement levels to ease exploratory + analysis tasks. + + Parameters + ---------- + json_data : dict, optional + JSON data at a ``modlHistograms`` field of an element of the list found at the + ``variablesDetailedStatistics`` field within the ``preparationReport`` field + of a Khiops JSON report file. If not specified, it returns an empty instance. + + Attributes + ---------- + histogram_number : int + Number of available histograms. + interpretable_histogram_number : int + Number of interpretable histograms. Can be equal to either + ``histogram_number`` or ``histogram_number - 1``. + truncation_epsilon : float + Truncation epsilon used by the truncation heuristic implemented in Khiops. + Equals 0 if no truncation is detected in the input data. + removed_singular_interval_number : int + Number of singular intervals removed from the finest-grained histogram to + obtain the first interpretable histogram. + granularities : list of int + Histogram granularities, sorted in increasing order. + Synchronized with ``histograms``. + interval_numbers : list of int + Histogram interval numbers, sorted in increasing order. + Synchronized with ``histograms``. + peak_interval_numbers : list of int + Histogram peak interval numbers, sorted in increasing order. + Synchronized with ``histograms``. + spike_interval_numbers : list of int + Histogram spike interval numbers, sorted in increasing order. + Synchronized with ``histograms``. + empty_interval_numbers : list of int + Histogram empty interval numbers, sorted in increasing order. + Synchronized with ``histograms``. + levels : list of float + List of histogram levels, sorted in increasing order. + Synchronized with ``histograms``. + information_rates : list of float + Histogram information rates, sorted in increasing order. Between 0 and + 100 for interpretable histograms. + Synchronized with ``histograms``. + histograms : list of `Histogram` + The MODL histograms. + + """ + + def __init__(self, json_data=None): + """See class docstring""" + # Check the type of json_data + if json_data is not None and not isinstance(json_data, dict): + raise TypeError(type_error_message("json_data", json_data, dict)) + + # Transform to an empty dictionary if json_data is not specified + if json_data is None: + json_data = {} + + # Initialize histogram number + self.histogram_number = json_data.get("histogramNumber") + + # Initialize interpretable_histogram_number + self.interpretable_histogram_number = json_data.get( + "interpretableHistogramNumber" + ) + + # Initialize truncation_epsilon + self.truncation_epsilon = json_data.get("truncationEpsilon") + + # Initialize removed_singular_interval_number + self.removed_singular_interval_number = json_data.get( + "removedSingularIntervalNumber" + ) + + # Initialize histogram granularities + self.granularities = json_data.get("granularities") + + # Initialize histogram interval numbers + self.interval_numbers = json_data.get("intervalNumbers") + + # Initialize histogram peak interval numbers + self.peak_interval_numbers = json_data.get("peakIntervalNumbers") + + # Initialize histogram spike interval numbers + self.spike_interval_numbers = json_data.get("spikeIntervalNumbers") + + # Initialize histogram empty interval numbers + self.empty_interval_numbers = json_data.get("emptyIntervalNumbers") + + # Initialize histogram levels + self.levels = json_data.get("levels") + + # Initialize histogram information rates + self.information_rates = json_data.get("informationRates") + + # Initialize histograms + self.histograms = [ + Histogram(json_histogram) + for json_histogram in json_data.get("histograms", []) + ] + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + return { + "emptyIntervalNumbers": self.empty_interval_numbers, + "granularities": self.granularities, + "histogramNumber": self.histogram_number, + "histograms": [histogram.to_dict() for histogram in self.histograms], + "informationRates": self.information_rates, + "interpretableHistogramNumber": self.interpretable_histogram_number, + "intervalNumbers": self.interval_numbers, + "levels": self.levels, + "peakIntervalNumbers": self.peak_interval_numbers, + "removedSingularIntervalNumber": self.removed_singular_interval_number, + "spikeIntervalNumbers": self.spike_interval_numbers, + "truncationEpsilon": self.truncation_epsilon, + } + + +class Histogram: + """A histogram + + Represents one of the refinement levels of a `ModlHistograms` object. + + Parameters + ---------- + json_data : dict, optional + JSON data of an element at the ``histograms`` field of a ``modlHistograms`` + field of an element of the list found at the ``variablesDetailedStatistics`` + field within the ``preparationReport`` field of a Khiops JSON report file. + If not specified it returns an empty instance. + + Attributes + ---------- + bounds : list of float + Interval bounds. + frequencies : list of int + Interval frequencies. + """ + + def __init__(self, json_data=None): + """See class docstring""" + # Check the type of json_data + if json_data is not None and not isinstance(json_data, dict): + raise TypeError(type_error_message("json_data", json_data, dict)) + + # Transform to an empty dictionary if json_data is not specified + if json_data is None: + json_data = {} + + # Initialize basic attributes + self.bounds = json_data.get("bounds") + self.frequencies = json_data.get("frequencies") + + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + return {"bounds": self.bounds, "frequencies": self.frequencies} + + class DataGrid: """A piecewise constant probability density estimation @@ -1998,14 +3114,60 @@ def __init__(self, json_data=None): self.cell_target_frequencies = json_data.get("cellTargetFrequencies") self.cell_interests = json_data.get("cellInterests") - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + # Write data grid type and dimensions + report = { + "isSupervised": self.is_supervised, + "dimensions": [dimension.to_dict() for dimension in self.dimensions], + } + + # Write data grid cells + # Univariate unsupervised data grid: Write frequencies per part + if not self.is_supervised and len(self.dimensions) == 1: + report["frequencies"] = self.frequencies + + # Multivariate unsupervised data grid: Write frequencies per cell + elif not self.is_supervised and len(self.dimensions) > 1: + report["cellIds"] = self.cell_ids + report["cellPartIndexes"] = self.cell_part_indexes + if self.cell_frequencies is not None: + report["cellFrequencies"] = self.cell_frequencies + + # Supervised data grid with one input variable: + # Write frequencies for each input part and for each target part + elif self.is_supervised and len(self.dimensions) == 2: + report["partTargetFrequencies"] = self.part_target_frequencies + report["partInterests"] = self.part_interests + + # Supervised data grid with several input variables + # Write frequencies per input cell part, for each target part + elif self.is_supervised and len(self.dimensions) > 2: + report["cellIds"] = self.cell_ids + report["cellPartIndexes"] = self.cell_part_indexes + if self.cell_frequencies is not None: + report["cellFrequencies"] = self.cell_frequencies + report["cellTargetFrequencies"] = self.cell_target_frequencies + report["cellInterests"] = self.cell_interests + + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write data grid type writer.write("Data grid\t") if self.is_supervised: @@ -2208,14 +3370,43 @@ def __init__(self, json_data=None): default_group_index = json_data["defaultGroupIndex"] self.partition[default_group_index].is_default_part = True - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "variable": self.variable, + "type": self.type, + "partitionType": self.partition_type, + "partition": [part.to_dict() for part in self.partition], + } + + if self.partition_type == "Value groups": + default_group_index = None + for i, part in enumerate(self.partition): + if part.is_default_part: + default_group_index = i + break + if default_group_index is not None: + report["defaultGroupIndex"] = default_group_index + + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + + # Write report writer.write(f"{self.variable}\t") writer.write(f"{self.type}\t") writer.writeln(self.partition_type) @@ -2305,14 +3496,28 @@ def part_type(self): """ return "Interval" - def write_report_line(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + if not self.is_missing: + return [self.lower_bound, self.upper_bound] + return [] + + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + # Write part label writer.write(str(self)) @@ -2365,14 +3570,27 @@ def part_type(self): """ return "Value" - def write_report_line(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + return self.value + + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + + # Write object value writer.writeln(str(self)) @@ -2428,14 +3646,26 @@ def part_type(self): """ return "Value group" - def write_report_line(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + return self.values + + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + # Write part label writer.write(str(self)) @@ -2465,34 +3695,26 @@ class TrainedPredictor: Attributes ---------- - type : str - Predictor type. Valid values are found in the ``predictor_types`` class - attribute. They are: + family : str + Predictor family name. Valid values are found in the ``predictor_families`` + class variable. They are: - - "Selective Naive Bayes" - - "MAP Naive Bayes" **Deprecated** - - "Naive Bayes" - - "Univariate" + - "Baseline": for regression only, + - "Selective Naive Bayes": in all other cases. - family : "Classifier" or "Regressor" - Predictor family name. Valid values are found in the ``predictor_families`` - class variable. + type : "Classifier" or "Regressor" + Predictor type. Valid values are found in the ``predictor_types`` class + attribute. name : str Human readable predictor name. variable_number : int Number of variables used by the predictor. selected_variables : list of `SelectedVariable` - Variables used by the predictor. Only for types "Selective Naive Bayes" and "MAP - Naive Bayes". + Variables used by the predictor. Only for type "Selective Naive Bayes". """ predictor_types = ["Classifier", "Regressor"] - predictor_families = [ - "Selective Naive Bayes", - "MAP Naive Bayes", - "Naive Bayes", - "Univariate", - ] + predictor_families = ["Selective Naive Bayes", "Baseline"] def __init__(self, json_data=None): """See class docstring""" @@ -2551,9 +3773,33 @@ def is_detailed(self): """ return self.selected_variables is not None - def write_report_header_line(self, writer): + def to_dict(self, details=False): + """Transforms this instance to a dict with the Khiops JSON file structure""" + if details and self.is_detailed() and self.selected_variables is not None: + return { + "selectedVariables": [ + selected_variable.to_dict() + for selected_variable in self.selected_variables + ] + } + + # details is False: + return { + "rank": self.rank, + "type": self.type, + "family": self.family, + "name": self.name, + "variables": self.variable_number, + } + + def write_report_header_line(self, writer): # pragma: no cover """Writes the header line of a TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + The header is the same for all variable types. Parameters @@ -2561,34 +3807,58 @@ def write_report_header_line(self, writer): writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_report_header_line", "12.0.0", "to_dict") + ) + + # Write report header line writer.write("Rank\t") writer.write("Type\t") writer.write("Family\t") writer.write("Name\t") writer.writeln("Variables") - def write_report_line(self, writer): + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + + # Write report line writer.write(f"{self.rank}\t") writer.write(f"{self.type}\t") writer.write(f"{self.family}\t") writer.write(f"{self.name}\t") writer.writeln(str(self.variable_number)) - def write_report_details(self, writer): + def write_report_details(self, writer): # pragma: no cover """Writes the details of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict")) + + # Write detailed report header if available if self.is_detailed(): # Header line writer.writeln("") @@ -2627,9 +3897,6 @@ class SelectedVariable: importance : float A measure of overall importance of the variable in the model. It is the geometric mean of the level and weight. - map : bool - True if the variable is in the MAP model. - **Deprecated**: Will be removed in Khiops Python 11. """ def __init__(self, json_data=None): @@ -2648,44 +3915,72 @@ def __init__(self, json_data=None): self.level = json_data.get("level", "") self.weight = json_data.get("weight") self.importance = json_data.get("importance") - self.map = json_data.get("map") - def write_report_header_line(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "preparedName": self.prepared_name, + "name": self.name, + "level": self.level, + "weight": self.weight, + } + if self.importance is not None: + report["importance"] = self.importance + + return report + + def write_report_header_line(self, writer): # pragma: no cover """Writes the header line of a TSV report into a writer object The header is the same for all variable types. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_report_header_line", "12.0.0", "to_dict") + ) + + # Write report header writer.write("Prepared name\t") writer.write("Name\t") writer.write("Level") writer.write("\tWeight") if self.importance is not None: writer.write("\tImportance") - if self.map is not None: - writer.write("\tMAP") writer.writeln("") - def write_report_line(self, writer): + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + + # Write report line writer.write(f"{self.prepared_name}\t") writer.write(f"{self.name}\t") writer.write(str(self.level)) writer.write(f"\t{self.weight}") if self.importance is not None: writer.write(f"\t{self.importance}") - elif self.map is not None: - writer.write("\t1") writer.writeln("") @@ -2851,16 +4146,64 @@ def get_metric(self, metric_name): ) return metric - def write_report_header_line(self, writer): + def to_dict(self, details=False): + """Transforms this instance to a dict with the Khiops JSON file structure""" + if details and self.is_detailed(): + report = {} + if self.data_grid is not None: + report["dataGrid"] = self.data_grid.to_dict() + if self.confusion_matrix is not None: + report["confusionMatrix"] = self.confusion_matrix.to_dict() + else: + report = { + "rank": self.rank, + "type": self.type, + "family": self.family, + "name": self.name, + } + + if self.type == "Classifier": + report.update( + { + "accuracy": self.accuracy, + "compression": self.compression, + "auc": self.auc, + } + ) + elif self.type == "Regressor": + report.update( + { + "rmse": self.rmse, + "mae": self.mae, + "nlpd": self.nlpd, + "rankRmse": self.rank_rmse, + "rankMae": self.rank_mae, + "rankNlpd": self.rank_nlpd, + } + ) + return report + + def write_report_header_line(self, writer): # pragma: no cover """Writes the header line of a TSV report into a writer object The header is the same for all variable types. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_report_header_line", "12.0.0", "to_dict") + ) + + # Write report header writer.write("Rank\t") writer.write("Type\t") writer.write("Family\t") @@ -2877,14 +4220,23 @@ def write_report_header_line(self, writer): writer.write("RankMAE\t") writer.writeln("RankNLPD") - def write_report_line(self, writer): + def write_report_line(self, writer): # pragma: no cover """Writes a line of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_line", "12.0.0", "to_dict")) + + # Write report line writer.write(f"{self.rank}\t") writer.write(f"{self.type}\t") writer.write(f"{self.family}\t") @@ -2893,14 +4245,23 @@ def write_report_line(self, writer): metrics = [str(self.get_metric(name)) for name in self.get_metric_names()] writer.writeln("\t".join(metrics)) - def write_report_details(self, writer): + def write_report_details(self, writer): # pragma: no cover """Writes the details of the TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_details", "12.0.0", "to_dict")) + + # Write detailed report if available if self.is_detailed(): # Write header line writer.writeln("") @@ -2952,14 +4313,27 @@ def __init__(self, json_data=None): self.values = json_data.get("values", []) self.matrix = json_data.get("matrix", []) - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + + return {"values": self.values, "matrix": self.matrix} + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report into a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write header writer.writeln("Confusion matrix") diff --git a/khiops/core/coclustering_results.py b/khiops/core/coclustering_results.py index 497b73be..2bf55102 100644 --- a/khiops/core/coclustering_results.py +++ b/khiops/core/coclustering_results.py @@ -23,9 +23,10 @@ |- cells -> list of CoclusteringCell CoclusteringDimension - |- parts -> list of CoclusteringDimensionPart - |- clusters -> list of CoclusteringCluster - |- root_cluster -> CoclusteringCluster + |- parts -> list of CoclusteringDimensionPart + |- variable_part_dimensions -> list of CoclusteringDimension + |- clusters -> list of CoclusteringCluster + |- root_cluster -> CoclusteringCluster CoclusteringDimensionPartValueGroup |- values -> list of CoclusteringDimensionPartValue @@ -37,13 +38,14 @@ |- child_cluster2 | To have a complete illustration of the access to the information of all classes in this -module look at their ``write_report`` methods which write TSV (tab separated values) -reports. +module look at their ``to_dict`` methods which write Python dictionaries in the +same format as the Khiops JSON reports. """ import io +import warnings from khiops.core.exceptions import KhiopsJSONError -from khiops.core.internals.common import type_error_message +from khiops.core.internals.common import deprecation_message, type_error_message from khiops.core.internals.io import ( KhiopsJSONObject, KhiopsOutputWriter, @@ -75,6 +77,127 @@ class CoclusteringResults(KhiopsJSONObject): Coclustering modeling report. """ + # Set coclustering report order key specification + # pylint: disable=line-too-long + json_key_sort_spec = { + "tool": None, + "version": None, + "shortDescription": None, + "coclusteringReport": { + "summary": { + "instances": None, + "cells": None, + "nullCost": None, + "cost": None, + "level": None, + "initialDimensions": None, + "frequencyVariable": None, + "dictionary": None, + "database": None, + "samplePercentage": None, + "samplingMode": None, + "selectionVariable": None, + "selectionValue": None, + }, + "dimensionSummaries": [ + { + "name": None, + "isVarPart": None, + "type": None, + "parts": None, + "initialParts": None, + "values": None, + "interest": None, + "description": None, + "min": None, + "max": None, + }, + ], + "dimensionPartitions": [ + { + "name": None, + "type": None, + "innerVariables": { + "dimensionSummaries": [ + { + "name": None, + "type": None, + "parts": None, + "initialParts": None, + "values": None, + "interest": None, + "description": None, + "min": None, + "max": None, + } + ], + "dimensionPartitions": [ + { + "name": None, + "type": None, + "intervals": [ + { + "cluster": None, + "bounds": None, + } + ], + "valueGroups": [ + { + "cluster": None, + "values": None, + "valueFrequencies": None, + } + ], + "defaultGroupIndex": None, + } + ], + }, + "intervals": [ + { + "cluster": None, + "bounds": None, + } + ], + "valueGroups": [ + { + "cluster": None, + "values": None, + "valueFrequencies": None, + "valueTypicalities": None, + } + ], + "defaultGroupIndex": None, + }, + ], + "dimensionHierarchies": [ + { + "name": None, + "type": None, + "clusters": [ + { + "cluster": None, + "parentCluster": None, + "frequency": None, + "interest": None, + "hierarchicalLevel": None, + "rank": None, + "hierarchicalRank": None, + "isLeaf": None, + "shortDescription": None, + "description": None, + } + ], + } + ], + "cellPartIndexes": None, + "cellFrequencies": None, + }, + "khiops_encoding": None, + "ansi_chars": None, + "colliding_utf8_chars": None, + } + # pylint: enable=line-too-long + def __init__(self, json_data=None): """See class docstring""" # Initialize super class @@ -83,7 +206,6 @@ def __init__(self, json_data=None): # Transform to an empty dictionary if json_data is not specified if json_data is None: json_data = {} - # Initialize empty report attributes self.short_description = json_data.get("shortDescription", "") @@ -95,26 +217,50 @@ def __init__(self, json_data=None): else: self.coclustering_report = None - def write_report_file(self, report_file_path): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = super().to_dict() + if self.short_description is not None: + report["shortDescription"] = self.short_description + if self.coclustering_report is not None: + report["coclusteringReport"] = self.coclustering_report.to_dict() + return report + + def write_report_file(self, report_file_path): # pragma: no cover """Writes a TSV report file with the object's information + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- report_file_path : str Path of the output TSV report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report_file", "12.0.0")) + + # Write report to file with open(report_file_path, "wb") as report_file: writer = self.create_output_file_writer(report_file) self.write_report(writer) - def write_report(self, stream_or_writer): + def write_report(self, stream_or_writer): # pragma: no cover """Writes the instance's TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- stream_or_writer : `io.IOBase` or `.KhiopsOutputWriter` Output stream or writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Check input writer/stream type if isinstance(stream_or_writer, io.IOBase): writer = self.create_output_file_writer(stream_or_writer) @@ -342,14 +488,70 @@ def get_dimension(self, dimension_name): """ return self._dimensions_by_name[dimension_name] - def write_report(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + # Compute cellPartIndexes + cell_parts_indexes = [] + for cell in self.cells: + cell_part_indexes = [] + for cell_part in cell.parts: + for dimension in self.dimensions: + for dimension_part_index, dimension_part in enumerate( + dimension.parts + ): + if cell_part == dimension_part: + cell_part_indexes.append(dimension_part_index) + break + cell_parts_indexes.append(cell_part_indexes) + report_summary = { + "instances": self.instance_number, + "cells": self.cell_number, + "nullCost": self.null_cost, + "cost": self.cost, + "level": self.level, + "initialDimensions": self.initial_dimension_number, + "frequencyVariable": self.frequency_variable, + "dictionary": self.dictionary, + "database": self.database, + "samplePercentage": self.sample_percentage, + "samplingMode": self.sampling_mode, + "selectionVariable": self.selection_variable, + "selectionValue": self.selection_value, + } + report = { + "summary": report_summary, + "dimensionSummaries": [ + dimension.to_dict(report_type="summary") + for dimension in self.dimensions + ], + "dimensionPartitions": [ + dimension.to_dict(report_type="partition") + for dimension in self.dimensions + ], + "dimensionHierarchies": [ + dimension.to_dict(report_type="hierarchy") + for dimension in self.dimensions + ], + "cellPartIndexes": cell_parts_indexes, + "cellFrequencies": [cell.frequency for cell in self.cells], + } + return report + + def write_report(self, writer): # pragma: no cover """Writes the instance's TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output stream or writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_report", "12.0.0", "to_dict")) + # Write each section self.write_dimensions(writer) self.write_coclustering_stats(writer) @@ -359,28 +561,46 @@ def write_report(self, writer): self.write_cells(writer) self.write_annotations(writer) - def write_dimensions(self, writer): + def write_dimensions(self, writer): # pragma: no cover """Writes the "dimensions" section of the TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_dimensions", "12.0.0", "to_dict")) + + # Write dimension report writer.writeln(f"Dimensions\t{len(self.dimensions)}") for i, cc_dimension in enumerate(self.dimensions): if i == 0: cc_dimension.write_dimension_header_line(writer) cc_dimension.write_dimension_line(writer) - def write_coclustering_stats(self, writer): + def write_coclustering_stats(self, writer): # pragma: no cover """Writes the "stats" section of the TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_coclustering_stats", "12.0.0", "to_dict") + ) + + # Write report writer.writeln("") writer.writeln("Coclustering stats") writer.writeln(f"Instances\t{self.instance_number}") @@ -397,14 +617,21 @@ def write_coclustering_stats(self, writer): writer.writeln(f"Selection variable\t{self.selection_variable}") writer.writeln(f"Selection value\t{self.selection_value}") - def write_bounds(self, writer): + def write_bounds(self, writer): # pragma: no cover """Writes the "bounds" section of the TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_bounds", "12.0.0", "to_dict")) + # Compute number of numerical dimensions numerical_dimension_number = 0 for cc_dimension in self.dimensions: @@ -422,36 +649,59 @@ def write_bounds(self, writer): writer.write(f"{cc_dimension.min}\t") writer.writeln(str(cc_dimension.max)) - def write_hierarchies(self, writer): + def write_hierarchies(self, writer): # pragma: no cover """Writes the dimension reports' "hierarchy" sections to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_hierarchies", "12.0.0", "to_dict")) + + # Write dimension hierarchy report for each dimension for cc_dimension in self.dimensions: cc_dimension.write_hierarchy(writer) - def write_compositions(self, writer): + def write_compositions(self, writer): # pragma: no cover """Writes the dimensions' "composition" sections to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_compositions", "12.0.0", "to_dict")) + + # Write dimension composition report for each dimension for cc_dimension in self.dimensions: cc_dimension.write_composition(writer) - def write_cells(self, writer): + def write_cells(self, writer): # pragma: no cover """Writes the "cells" section of the TSV report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_cells", "12.0.0", "to_dict")) + # Write header writer.writeln("") writer.writeln("Cells") @@ -465,14 +715,21 @@ def write_cells(self, writer): for cc_cell in self.cells: cc_cell.write_line(writer) - def write_annotations(self, writer): + def write_annotations(self, writer): # pragma: no cover """Writes the dimensions' "annotation" sections to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_annotations", "12.0.0", "to_dict")) + # Decide whether annotation sections need to be reported need_report = False for cc_dimension in self.dimensions: @@ -528,6 +785,9 @@ class CoclusteringDimension: Maximum value of a numerical dimension/variable. parts : list of `CoclusteringDimensionPart` Partition of this dimension. + variable_part_dimensions : list of `CoclusteringDimension` + Variable part instance-variable coclustering dimensions. ``None`` for + variable-variable clustering. clusters : list of `CoclusteringCluster` Clusters of this dimension's hierarchy. Note that includes intermediary clusters. @@ -567,6 +827,9 @@ def __init__(self): # Clusters internal dictionary self._clusters_by_name = {} + # Variable part dimensions + self.variable_part_dimensions = None + def init_summary(self, json_data=None): """Initializes the summary attributes from a Python JSON object @@ -680,6 +943,42 @@ def init_partition(self, json_data=None): self.default_group = self.parts[default_group_index] self.default_group.is_default_part = True + # Instance-variable coclustering: initialize inner variables + if self.is_variable_part: + + # Create inner variables dimensions (subpartition) + if "innerVariables" not in json_data: + raise KhiopsJSONError("'innerVariables' key not found") + self.variable_part_dimensions = [] + json_inner_variables = json_data["innerVariables"] + if "dimensionSummaries" in json_inner_variables: + for json_dimension_summary in json_inner_variables[ + "dimensionSummaries" + ]: + dimension = CoclusteringDimension().init_summary( + json_dimension_summary + ) + self.variable_part_dimensions.append(dimension) + + # Initialize inner variables dimensions' partitions + if "dimensionPartitions" in json_inner_variables: + json_dimension_partitions = json_inner_variables[ + "dimensionPartitions" + ] + if len(self.variable_part_dimensions) != len( + json_dimension_partitions + ): + raise KhiopsJSONError( + "'ineerVariables/dimensionPartitions' list has length " + f"{len(json_dimension_partitions)} instead of " + f"{len(self.variable_part_dimensions)}" + ) + for i, json_dimension_partition in enumerate( + json_dimension_partitions + ): + dimension = self.variable_part_dimensions[i] + dimension.init_partition(json_dimension_partition) + return self def init_hierarchy(self, json_data): @@ -787,14 +1086,88 @@ def get_cluster(self, cluster_name): """ return self._clusters_by_name[cluster_name] - def write_dimension_header_line(self, writer): + def to_dict(self, report_type): + """Transforms this instance to a dict with the Khiops JSON file structure + + Parameters + ---------- + report_type : str + Type of the report. Can be either one of "summary", "dimension", and + "hierarchy". + """ + if report_type == "summary": + report = { + "name": self.name, + "type": self.type, + "parts": self.part_number, + "initialParts": self.initial_part_number, + "values": self.value_number, + "interest": self.interest, + "description": self.description, + } + if self.type == "Numerical": + report.update({"min": self.min, "max": self.max}) + if self.is_variable_part: + report["isVarPart"] = self.is_variable_part + return report + elif report_type == "partition": + report = { + "name": self.name, + "type": self.type, + } + if self.type == "Numerical": + report["intervals"] = [part.to_dict() for part in self.parts] + elif self.type == "Categorical": + report["valueGroups"] = [part.to_dict() for part in self.parts] + + # Get default group index + for i, part in enumerate(self.parts): + if part.is_default_part: + default_group_index = i + break + report["defaultGroupIndex"] = default_group_index + + # Inner variables dimensions for instance-variable coclustering + if self.is_variable_part: + report["innerVariables"] = { + "dimensionSummaries": [ + dimension.to_dict(report_type="summary") + for dimension in self.variable_part_dimensions + ], + "dimensionPartitions": [ + dimension.to_dict(report_type="partition") + for dimension in self.variable_part_dimensions + ], + } + return report + elif report_type == "hierarchy": + report = { + "name": self.name, + "type": self.type, + "clusters": [cluster.to_dict() for cluster in self.clusters], + } + return report + else: + raise ValueError(f"Unknown 'report_type 'value: '{report_type}'") + + def write_dimension_header_line(self, writer): # pragma: no cover """Writes the "dimensions" section header to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_dimension_header_line", "12.0.0", "to_dict") + ) + + # Write dimension report header writer.write("Name\t") writer.write("Is variable part\t") writer.write("Type\t") @@ -804,14 +1177,22 @@ def write_dimension_header_line(self, writer): writer.write("Interest\t") writer.writeln("Description") - def write_dimension_line(self, writer): + def write_dimension_line(self, writer): # pragma: no cover """Writes the "dimensions" section line to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_dimension_line", "12.0.0", "to_dict")) + + # Write dimension report line writer.write(f"{self.name}\t") writer.write(f"{self.is_variable_part}\t") writer.write(f"{self.type}\t") @@ -821,14 +1202,21 @@ def write_dimension_line(self, writer): writer.write(f"{self.interest}\t") writer.writeln(self.description) - def write_hierarchy(self, writer): + def write_hierarchy(self, writer): # pragma: no cover """Writes the "hierarchy" section to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_hierarchy", "12.0.0", "to_dict")) + # Write header writer.writeln("") writer.writeln(f"Hierarchy\t{self.name}") @@ -839,14 +1227,21 @@ def write_hierarchy(self, writer): cluster.write_hierarchy_header_line(writer) cluster.write_hierarchy_line(writer) - def write_composition(self, writer): + def write_composition(self, writer): # pragma: no cover """Writes the "composition" section to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_composition", "12.0.0", "to_dict")) + # Write only categorical dimensions if self.type == "Categorical": # Write header @@ -873,14 +1268,21 @@ def write_composition(self, writer): writer.write(f"{0}\t") writer.writeln(str(0)) - def write_annotation(self, writer): + def write_annotation(self, writer): # pragma: no cover """Writes the "annotation" section to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_annotation", "12.0.0", "to_dict")) + # Write header writer.writeln("") writer.writeln(f"Annotation\t{self.name}") @@ -905,16 +1307,30 @@ def needs_annotation_report(self): return True return False - def write_hierarchy_structure_report_file(self, report_file_path): + def write_hierarchy_structure_report_file( + self, report_file_path + ): # pragma: no cover """Writes the hierarchical structure of the clusters to a file This method is mainly a test of the encoding of the cluster hierarchy. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- report_file_path : str Path of the output file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message( + "write_hierarchy_structure_report_file", "12.0.0", "to_dict" + ) + ) + + # Write report to file with open(report_file_path, "wb") as report_file: writer = KhiopsOutputWriter(report_file) writer.writeln(f"Hierarchical structure\t{self.name}") @@ -1022,6 +1438,15 @@ def __init__(self, json_data=None): self.is_left_open = False self.is_right_open = False + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "cluster": self.cluster_name, + } + if not self.is_missing: + report["bounds"] = [self.lower_bound, self.upper_bound] + return report + def __str__(self): """Returns a human-readable string representation""" if self.is_missing: @@ -1083,7 +1508,9 @@ def __init__(self, json_data=None): json_data = {} # Otherwise raise an error if the relevant keys are not found else: - mandatory_keys = ("values", "valueFrequencies", "valueTypicalities") + # Value typicalities are absent for variable parts dimensions in + # instance-variable coclustering + mandatory_keys = ("values", "valueFrequencies") for key in mandatory_keys: if key not in json_data: raise KhiopsJSONError(f"'{key}' key not found") @@ -1104,7 +1531,12 @@ def __init__(self, json_data=None): self.values.append(value) value.value = json_value value.frequency = json_value_frequencies[i] - value.typicality = json_value_typicalities[i] + + # valueTypicalities are absent for variable part dimension parts, + # as used in instance-variable coclustering + value.typicality = ( + json_value_typicalities[i] if i < len(json_value_typicalities) else None + ) # Initialize default values (set for real from another class) self.is_default_part = False @@ -1122,6 +1554,20 @@ def __str__(self): label += "}" return label + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "cluster": self.cluster_name, + "values": [value.value for value in self.values], + "valueFrequencies": [value.frequency for value in self.values], + } + typicalities = [ + value.typicality for value in self.values if value.typicality is not None + ] + if typicalities: + report["valueTypicalities"] = typicalities + return report + def part_type(self): """Part type of this instance @@ -1228,8 +1674,8 @@ def __init__(self, json_data=None): self.rank = json_data.get("rank", 0) self.hierarchical_rank = json_data.get("hierarchicalRank", 0) self.is_leaf = json_data.get("isLeaf", False) - self.short_description = json_data.get("shortDescription", "") - self.description = json_data.get("description", "") + self.short_description = json_data.get("shortDescription") + self.description = json_data.get("description") # Link to child clusters, None for the leaves of the hierarchy # The user must specify the CoclusteringCluster references parent_cluster @@ -1239,14 +1685,42 @@ def __init__(self, json_data=None): self.child_cluster2 = None self.leaf_part = None - def write_hierarchy_header_line(self, writer): + def to_dict(self): + """Transforms this instance to a dict with the Khiops JSON file structure""" + report = { + "cluster": self.name, + "parentCluster": self.parent_cluster_name, + "frequency": self.frequency, + "interest": self.interest, + "hierarchicalLevel": self.hierarchical_level, + "rank": self.rank, + "hierarchicalRank": self.hierarchical_rank, + "isLeaf": self.is_leaf, + } + if self.short_description is not None: + report["shortDescription"] = self.short_description + if self.description is not None: + report["description"] = self.description + return report + + def write_hierarchy_header_line(self, writer): # pragma: no cover """Writes the "hierarchy" section's header to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_hierarchy_header_line", "12.0.0", "to_dict") + ) + + # Write report header writer.write("Cluster\t") writer.write("ParentCluster\t") writer.write("Frequency\t") @@ -1255,14 +1729,22 @@ def write_hierarchy_header_line(self, writer): writer.write("Rank\t") writer.writeln("HierarchicalRank") - def write_hierarchy_line(self, writer): + def write_hierarchy_line(self, writer): # pragma: no cover """Writes a line of the "hierarchy" section to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_hierarchy_line", "12.0.0", "to_dict")) + + # Write hierarchy report line writer.write(f"{self.name}\t") writer.write(f"{self.parent_cluster_name}\t") writer.write(f"{self.frequency}\t") @@ -1271,28 +1753,46 @@ def write_hierarchy_line(self, writer): writer.write(f"{self.rank}\t") writer.writeln(str(self.hierarchical_rank)) - def write_annotation_header_line(self, writer): + def write_annotation_header_line(self, writer): # pragma: no cover """Writes the "annotation" section's header to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_annotation_header_line", "12.0.0", "to_dict") + ) + + # Write annotation report header writer.write("Cluster\t") writer.write("Expand\t") writer.write("Selected\t") writer.write("ShortDescription\t") writer.writeln("Description") - def write_annotation_line(self, writer): + def write_annotation_line(self, writer): # pragma: no cover """Writes a line of the "annotation" section to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_annotation_line", "12.0.0", "to_dict")) + + # Write annotation report line writer.write(f"{self.name}\t") # TODO: Why "Expand" and "Selected" are not available? writer.write("FALSE\t") @@ -1300,16 +1800,25 @@ def write_annotation_line(self, writer): writer.write(f"{self.short_description}\t") writer.writeln(self.description) - def write_hierarchy_structure_report(self, writer): + def write_hierarchy_structure_report(self, writer): # pragma: no cover """Writes the hierarchical structure from this instance to a writer object This method is mainly a test of the encoding of the cluster hierarchy. + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. Use the `.to_dict` method instead. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer for the report file. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn( + deprecation_message("write_hierarchy_structure_report", "12.0.0", "to_dict") + ) + # Write first child cluster if self.child_cluster1 is not None: self.child_cluster1.write_hierarchy_structure_report(writer) @@ -1344,14 +1853,22 @@ def __init__(self): self.parts = [] self.frequency = 0 - def write_line(self, writer): + def write_line(self, writer): # pragma: no cover """Writes a line of the instance's report to a writer object + .. warning:: + This method is *deprecated* since Khiops 11.0.0 and will be removed in + Khiops 12. + Parameters ---------- writer : `.KhiopsOutputWriter` Output writer. """ + # Warn the user that this method is deprecated and will be removed + warnings.warn(deprecation_message("write_line", "12.0.0")) + + # Write part report line for part in self.parts: writer.write(f"{part.cluster_name}\t") writer.writeln(str(self.frequency)) diff --git a/khiops/core/internals/io.py b/khiops/core/internals/io.py index d96efdae..ad2590ed 100644 --- a/khiops/core/internals/io.py +++ b/khiops/core/internals/io.py @@ -14,7 +14,11 @@ import khiops.core.internals.filesystems as fs from khiops.core.exceptions import KhiopsJSONError -from khiops.core.internals.common import is_string_like, type_error_message +from khiops.core.internals.common import ( + deprecation_message, + is_string_like, + type_error_message, +) def encode_file_path(file_path): @@ -141,10 +145,31 @@ class KhiopsJSONObject: sub_tool : str, optional Identifies the tool that originated the JSON file. Used by tools of the Khiops family such as PataText or Enneade. + json_key_sort_spec : dict, optional + Dictionary that specifies the order of the keys in the Khiops JSON report. + Its values are `None`, except when they are dictionaries themselves. + + .. note:: + This is a class attribute that can be set in subclasses, to specify + a key order when serializing the report in a JSON file, via the + ``write_khiops_json_file`` method. + + json_data : dict + Python dictionary extracted from the Khiops JSON report file. + **Deprecated** will be removed in Khiops 12. """ + # Set default JSON key sort specification attribute + # Can be set in classes that specialize this class + json_key_sort_spec = None + def __init__(self, json_data=None): """See class docstring""" + # Check the type of the json_key_sort_spec class attribute + assert self.json_key_sort_spec is None or isinstance( + self.json_key_sort_spec, dict + ), type_error_message("key_sort_spec", self.json_key_sort_spec, dict) + # Check the type of json_data if json_data is not None and not isinstance(json_data, dict): raise TypeError(type_error_message("json_data", json_data, dict)) @@ -209,7 +234,12 @@ def __init__(self, json_data=None): self.colliding_utf8_chars = [] # Store a copy of the data to be able to write copies of it - self.json_data = copy.deepcopy(json_data) + self._json_data = copy.deepcopy(json_data) + + @property + def json_data(self): + warnings.warn(deprecation_message("'json_data'", "12.0.0", quote=False)) + return self._json_data def create_output_file_writer(self, stream): """Creates an output file with the proper encoding settings @@ -234,22 +264,95 @@ def create_output_file_writer(self, stream): else: return KhiopsOutputWriter(stream, force_ansi=True) - def write_khiops_json_file(self, json_file_path): + def to_dict(self): + """Serialize object instance to the Khiops JSON format""" + report = { + "tool": self.tool, + "version": self.version, + "khiops_encoding": self.khiops_encoding, + } + if self.ansi_chars is not None: + report["ansi_chars"] = self.ansi_chars + if self.colliding_utf8_chars is not None: + report["colliding_utf8_chars"] = self.colliding_utf8_chars + if self.sub_tool is not None: + report["subTool"] = self.sub_tool + return report + + def _json_key_sort_by_spec(self, jdict, key_sort_spec=None): + # json_key_sort_spec must be set before using this method + assert self.json_key_sort_spec is not None + + # Handle the base case with non-None key_sort_spec + sorted_jdict = {} + if key_sort_spec is None: + key_sort_spec = self.json_key_sort_spec + + # Iterate over the current fields and recurse if necessary + for spec_key, spec_value in key_sort_spec.items(): + if not (spec_value is None or isinstance(spec_value, (dict, list))): + raise ValueError( + type_error_message( + "specification value", + spec_value, + "'None' or dict or list", + ) + ) + if spec_key in jdict: + json_value = jdict[spec_key] + + # If json_value is not a dict, then: + # - if not list-like, then add it as such to the output dict + # - else, iterate on the list-like value + # else, recurse on the dict structure + if not isinstance(json_value, dict): + if not isinstance(json_value, list): + sorted_jdict[spec_key] = json_value + else: + sorted_jdict[spec_key] = [] + for json_el in json_value: + if not isinstance(json_el, dict): + sorted_jdict[spec_key].append(json_el) + else: + if isinstance(spec_value, list): + sorted_jdict[spec_key].append( + self._json_key_sort_by_spec( + json_el, key_sort_spec=spec_value[0] + ) + ) + else: + sorted_jdict[spec_key] = self._json_key_sort_by_spec( + json_value, key_sort_spec=spec_value + ) + return sorted_jdict + + def write_khiops_json_file(self, json_file_path, _ensure_ascii=False): """Write the JSON data of the object to a Khiops JSON file + The JSON keys are sorted according to the + ``KhiopsJSONObject.json_key_sort_spec`` class attribute, if set. + Otherwise, the JSON keys are not sorted. + Parameters ---------- json_file_path : str Path to the Khiops JSON file. + _ensure_ascii : bool, default False + If True, then non-ASCII characters in the report are escaped. Otherwise, + they are dumped as-is. """ - if self.json_data is not None: - # Serialize JSON data to string - # Do not escape non-ASCII Unicode characters - json_string = json.dumps(self.json_data, ensure_ascii=False) - with io.BytesIO() as json_stream: - writer = self.create_output_file_writer(json_stream) - writer.write(json_string) - fs.write(uri_or_path=json_file_path, data=json_stream.getvalue()) + # Serialize JSON data to string + # Do not escape non-ASCII Unicode characters + json_dict = self.to_dict() + if self.json_key_sort_spec is not None: + json_dict = self._json_key_sort_by_spec(json_dict) + json_string = json.dumps(json_dict, indent=4, ensure_ascii=_ensure_ascii) + else: + json_string = json.dumps(json_dict, indent=4, ensure_ascii=_ensure_ascii) + with io.BytesIO() as json_stream: + writer = self.create_output_file_writer(json_stream) + writer.write(json_string) + fs.write(uri_or_path=json_file_path, data=json_stream.getvalue()) class KhiopsOutputWriter: diff --git a/khiops/sklearn/estimators.py b/khiops/sklearn/estimators.py index 55d6c388..02946e50 100644 --- a/khiops/sklearn/estimators.py +++ b/khiops/sklearn/estimators.py @@ -1436,25 +1436,17 @@ def _fit_training_post_process(self, ds): else: pair_feature_evaluated_names_ = [] pair_feature_evaluated_levels_ = [] - if ( - "treePreparationReport" in self.model_report_.json_data - and "variablesStatistics" - in self.model_report_.json_data["treePreparationReport"] - ): - tree_preparation_report = self.model_report_.json_data[ - "treePreparationReport" - ]["variablesStatistics"] - tree_feature_evaluated_names_ = [ - tree_preparation_report[i]["name"] - for i in range(0, len(tree_preparation_report)) - ] + if self.model_report_.tree_preparation_report is not None: + tree_preparation_report = self.model_report_.tree_preparation_report + tree_feature_evaluated_names_ = tree_preparation_report.get_variable_names() tree_feature_evaluated_levels_ = [ - tree_preparation_report[i]["level"] - for i in range(0, len(tree_preparation_report)) + tree_preparation_report.get_variable_statistics(var).level + for var in tree_preparation_report.get_variable_names() ] else: tree_feature_evaluated_names_ = [] tree_feature_evaluated_levels_ = [] + feature_evaluated_names_ = ( univariate_preparation_report.get_variable_names() + pair_feature_evaluated_names_ diff --git a/khiops/tools.py b/khiops/tools.py index f6de417a..e1f1699a 100644 --- a/khiops/tools.py +++ b/khiops/tools.py @@ -73,7 +73,7 @@ def kh_samples_entry_point(): # pragma: no cover # Samples version: To be updated when khiops-samples does -DEFAULT_SAMPLES_VERSION = "10.2.4" +DEFAULT_SAMPLES_VERSION = "11.0.0" def kh_download_datasets_entry_point(): diff --git a/tests/resources/analysis_results/ref_json_reports/Adult.khj b/tests/resources/analysis_results/ref_json_reports/Adult.khj index 9b2ea0e8..acd0c79b 100644 --- a/tests/resources/analysis_results/ref_json_reports/Adult.khj +++ b/tests/resources/analysis_results/ref_json_reports/Adult.khj @@ -1,1166 +1,1196 @@ -{ - "tool": "Khiops", - "version": "10.0.0.3i", - "shortDescription": "", - "modelingReport": { - "reportType": "Modeling", - "summary": { - "dictionary": "Adult", - "database": "..\/..\/..\/datasets\/Adult\/Adult.txt", - "samplePercentage": 70, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "", - "learningTask": "Classification analysis", - "targetVariable": "class", - "mainTargetValue": "more" - }, - "trainedPredictors": [ - { - "rank": "R1", - "type": "Classifier", - "family": "Selective Naive Bayes", - "name": "Selective Naive Bayes", - "variables": 13 - }, - { - "rank": "R2", - "type": "Classifier", - "family": "Univariate", - "name": "Univariate relationship", - "variables": 1 - } - ], - "trainedPredictorsDetails": { - "R1": { - "selectedVariables": [ - { - "preparedName": "Pcapital_gain", - "name": "capital_gain", - "level": 0.135437, - "weight": 0.910187, - "importance": 0.351103 - }, - { - "preparedName": "Pmarital_status", - "name": "marital_status", - "level": 0.19789, - "weight": 0.529327, - "importance": 0.323649 - }, - { - "preparedName": "Prelationship", - "name": "relationship", - "level": 0.207419, - "weight": 0.382355, - "importance": 0.281616 - }, - { - "preparedName": "Page", - "name": "age", - "level": 0.118138, - "weight": 0.572296, - "importance": 0.260019 - }, - { - "preparedName": "Peducation_num", - "name": "education_num", - "level": 0.114003, - "weight": 0.500031, - "importance": 0.238757 - }, - { - "preparedName": "Poccupation", - "name": "occupation", - "level": 0.0879994, - "weight": 0.491241, - "importance": 0.207916 - }, - { - "preparedName": "Pcapital_loss", - "name": "capital_loss", - "level": 0.0529043, - "weight": 0.773468, - "importance": 0.202286 - }, - { - "preparedName": "Phours_per_week", - "name": "hours_per_week", - "level": 0.0667205, - "weight": 0.445343, - "importance": 0.172376 - }, - { - "preparedName": "Peducation", - "name": "education", - "level": 0.113466, - "weight": 0.246124, - "importance": 0.167113 - }, - { - "preparedName": "Prace", - "name": "race", - "level": 0.0106475, - "weight": 0.242218, - "importance": 0.050784 - }, - { - "preparedName": "Pnative_country", - "name": "native_country", - "level": 0.0063401, - "weight": 0.359406, - "importance": 0.0477354 - }, - { - "preparedName": "Pworkclass", - "name": "workclass", - "level": 0.0206918, - "weight": 0.054718, - "importance": 0.0336484 - }, - { - "preparedName": "Psex", - "name": "sex", - "level": 0.0453622, - "weight": 0.00393677, - "importance": 0.0133634 - } - ] - } - } - }, - "trainEvaluationReport": { - "reportType": "Evaluation", - "evaluationType": "Train", - "summary": { - "dictionary": "Adult", - "database": "..\/..\/..\/datasets\/Adult\/Adult.txt", - "samplePercentage": 70, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "", - "instances": 34174, - "learningTask": "Classification analysis", - "targetVariable": "class", - "mainTargetValue": "more" - }, - "predictorsPerformance": [ - { - "rank": "R1", - "type": "Classifier", - "family": "Selective Naive Bayes", - "name": "Selective Naive Bayes", - "accuracy": 0.868526, - "compression": 0.490196, - "auc": 0.925735 - }, - { - "rank": "R2", - "type": "Classifier", - "family": "Univariate", - "name": "Univariate relationship", - "accuracy": 0.761632, - "compression": 0.208972, - "auc": 0.779064 - } - ], - "predictorsDetailedPerformance": { - "R1": { - "confusionMatrix": { - "values": ["less","more"], - "matrix": [ - [24638,3103], - [1390,5043] - ] - } - }, - "R2": { - "confusionMatrix": { - "values": ["less","more"], - "matrix": [ - [26028,8146], - [0,0] - ] - }, - "dataGrid": { - "isSupervised": true, - "dimensions": [ - { - "variable": "relationship", - "type": "Categorical", - "partitionType": "Value groups", - "partition": [ - ["Husband","Wife"], - ["Not-in-family"], - ["Own-child","Other-relative"], - ["Unmarried"] - ], - "defaultGroupIndex": 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+ } + ] + } + ] + }, + "khiops_encoding": "ascii" +} diff --git a/tests/resources/analysis_results/ref_json_reports/Ansi.khj b/tests/resources/analysis_results/ref_json_reports/Ansi.khj index b8dfffb5..75a58d36 100644 --- a/tests/resources/analysis_results/ref_json_reports/Ansi.khj +++ b/tests/resources/analysis_results/ref_json_reports/Ansi.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -125,7 +125,9 @@ "targetDescriptiveStats": { "values": 2, "mode": "ANSI", - "modeFrequency": 10 + "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": ["ANSI","ASCII"], @@ -133,8 +135,10 @@ }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -156,6 +160,8 @@ "values": 2, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 6.13404, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj b/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj index 59c894dd..69874a07 100644 --- a/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj +++ b/tests/resources/analysis_results/ref_json_reports/AnsiGreek.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -139,7 +139,9 @@ "targetDescriptiveStats": { "values": 3, "mode": "ANSI", - "modeFrequency": 10 + "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": ["ANSI","ASCII","UTF8 Greek"], @@ -147,8 +149,10 @@ }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -170,6 +174,8 @@ "values": 3, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 16.6153, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj b/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj index 0b9943bc..016d1af6 100644 --- a/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj +++ b/tests/resources/analysis_results/ref_json_reports/AnsiLatin.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -139,7 +139,9 @@ "targetDescriptiveStats": { "values": 3, "mode": "ANSI", - "modeFrequency": 10 + "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": ["ANSI","ASCII","UTF8 Latin"], @@ -147,8 +149,10 @@ }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -170,6 +174,8 @@ "values": 3, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 16.6153, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj b/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj index 36f083fc..58a70407 100644 --- a/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj +++ b/tests/resources/analysis_results/ref_json_reports/AnsiLatinGreek.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -153,7 +153,9 @@ 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} ] } @@ -521,9 +696,9 @@ "type": "Classifier", "family": "Selective Naive Bayes", "name": "Selective Naive Bayes", - "accuracy": 0.628149, - "compression": 0.254932, - "auc": 0.821357 + "accuracy": 0.622937, + "compression": 0.229309, + "auc": 0.820115 } ], "predictorsDetailedPerformance": { @@ -531,10 +706,10 @@ "confusionMatrix": { "values": ["mixed","negative","objective","positive"], "matrix": [ - [0,0,0,0], - [105,268,75,61], - [42,72,391,24], - [17,18,14,64] + [1,0,0,1], + [105,255,71,55], + [36,64,388,20], + [22,39,21,73] ] } } @@ -549,7 +724,7 @@ }, { "classifier": "Selective Naive Bayes", - "values": 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@@ -11057,6 +11849,7 @@ "mean": 0.09509981851, "stdDev": 0.3148380435, "missingNumber": 0, + "sparseMissingNumber": 2510, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -11064,7 +11857,7 @@ }, { "rank": "R0611", - "name": "TXT.2gram(\u00AAt)", + "name": "TXT.2gram({AA}t)", "type": "Numerical", "level": 0, "parts": 1, @@ -11074,6 +11867,7 @@ "mean": 0.06860254083, "stdDev": 0.2612507399, "missingNumber": 0, + "sparseMissingNumber": 2572, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -11091,6 +11885,7 @@ "mean": 0.2366606171, "stdDev": 0.4893409315, "missingNumber": 0, + "sparseMissingNumber": 2178, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -11108,6 +11903,7 @@ "mean": 0.09364791289, "stdDev": 0.3106335885, "missingNumber": 0, + "sparseMissingNumber": 2513, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -11125,6 +11921,7 @@ "mean": 0.1430127042, 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0.08784029038, "stdDev": 0.3146412988, "missingNumber": 0, + "sparseMissingNumber": 2538, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17551,6 +18725,7 @@ "mean": 0.08058076225, "stdDev": 0.3037043354, "missingNumber": 0, + "sparseMissingNumber": 2557, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17568,6 +18743,7 @@ "mean": 0.08203266788, "stdDev": 0.3056994105, "missingNumber": 0, + "sparseMissingNumber": 2553, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17585,6 +18761,7 @@ "mean": 0.07586206897, "stdDev": 0.2871379691, "missingNumber": 0, + "sparseMissingNumber": 2563, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17602,6 +18779,7 @@ "mean": 0.07186932849, "stdDev": 0.2679287178, "missingNumber": 0, + "sparseMissingNumber": 2564, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17619,6 +18797,7 @@ "mean": 0.08058076225, "stdDev": 0.3037043354, "missingNumber": 0, + "sparseMissingNumber": 2557, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17636,6 +18815,7 @@ "mean": 0.08058076225, "stdDev": 0.3037043354, "missingNumber": 0, + "sparseMissingNumber": 2557, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17653,6 +18833,7 @@ "mean": 0.07259528131, "stdDev": 0.2809634344, "missingNumber": 0, + "sparseMissingNumber": 2571, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17670,6 +18851,7 @@ "mean": 0.08058076225, "stdDev": 0.3037043354, "missingNumber": 0, + "sparseMissingNumber": 2557, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -17687,6 +18869,7 @@ "mean": 0.07114337568, "stdDev": 0.2787422479, "missingNumber": 0, + "sparseMissingNumber": 2575, "constructionCost": 0.693147, "preparationCost": 21.9739, "dataCost": 3424.3, @@ -21729,7 +22912,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.1gram(\u20AC)", + "variable": "TXT.1gram({80})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -21810,7 +22993,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.2gram(\u00E2\u20AC)", + "variable": "TXT.2gram({E280})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -22053,7 +23236,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.1gram(\u00E2)", + "variable": "TXT.1gram({E2})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -22219,7 +23402,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.1gram(\u2122)", + "variable": "TXT.1gram({99})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -22246,7 +23429,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.2gram(\u20AC\u2122)", + "variable": "TXT.2gram({8099})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -22300,7 +23483,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.1gram(\u00C2)", + "variable": "TXT.1gram({C2})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -26862,7 +28045,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.2gram( \u00C3)", + "variable": "TXT.2gram( {C3})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -27240,7 +28423,7 @@ "isSupervised": true, "dimensions": [ { - "variable": "TXT.1gram(\u00C3)", + "variable": "TXT.1gram({C3})", "type": "Numerical", "partitionType": "Intervals", "partition": [ @@ -27561,17 +28744,5 @@ } } }, - "khiops_encoding": "colliding_ansi_utf8", - "ansi_chars": [ - "\u20AC", - "\u2122", - "\u00A0", - "\u00A7", - "\u00A8", - "\u00A9", - "\u00AA", - "\u00C2", - "\u00C3", - "\u00E2" - ] + "khiops_encoding": "utf8" } diff --git a/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj b/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj index f39090ba..5cf3d10a 100644 --- a/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj +++ b/tests/resources/analysis_results/ref_json_reports/EmptyDatabase.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.6i", + "version": "VERSION", "shortDescription": "", "logs": [ { @@ -35,7 +35,9 @@ "targetDescriptiveStats": { "values": 0, "mode": "", - "modeFrequency": 0 + "modeFrequency": 0, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": [], diff --git a/tests/resources/analysis_results/ref_json_reports/Greek.khj b/tests/resources/analysis_results/ref_json_reports/Greek.khj index d3e4a890..b89124f8 100644 --- a/tests/resources/analysis_results/ref_json_reports/Greek.khj +++ b/tests/resources/analysis_results/ref_json_reports/Greek.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -125,7 +125,9 @@ "targetDescriptiveStats": { "values": 2, "mode": "ASCII", - "modeFrequency": 10 + "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": ["ASCII","UTF8 Greek"], @@ -133,8 +135,10 @@ }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -156,6 +160,8 @@ "values": 2, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 6.13404, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/Iris2D.khj b/tests/resources/analysis_results/ref_json_reports/Iris2D.khj index f6f2471c..04c83ea1 100644 --- a/tests/resources/analysis_results/ref_json_reports/Iris2D.khj +++ b/tests/resources/analysis_results/ref_json_reports/Iris2D.khj @@ -1,2448 +1,2449 @@ -{ - "tool": "Khiops", - "version": "10.0.0.3i", - "shortDescription": "", - "modelingReport": { - "reportType": "Modeling", - "summary": { - "dictionary": "Iris", - "database": "..\/..\/..\/datasets\/Iris\/Iris.txt", - "samplePercentage": 70, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "", - "learningTask": "Classification analysis", - "targetVariable": "Class", - "mainTargetValue": "Iris-setosa" - }, - "trainedPredictors": [ - { - "rank": "R1", - "type": "Classifier", - "family": "Selective Naive Bayes", - "name": "Selective Naive Bayes", - "variables": 4 - }, - { - "rank": "R2", - "type": "Classifier", - "family": "Univariate", - "name": "Univariate SPetalLength", - "variables": 1 - } - ], - "trainedPredictorsDetails": { - "R1": { - "selectedVariables": [ - { - "preparedName": "PClass2", - "name": "Class2", - "level": 0.473086, - "weight": 0.507812, - "importance": 0.490142 - }, - { - "preparedName": "PPetalLength", - "name": "PetalLength", - "level": 0.634896, - "weight": 0.164062, - "importance": 0.322742 - }, - { - "preparedName": "PClass1", - "name": "Class1", - "level": 0.440354, - "weight": 0.210938, - "importance": 0.304774 - }, - { - "preparedName": "PLowerPetalLength", - "name": "LowerPetalLength", - "level": 0.446496, - "weight": 0.171875, - "importance": 0.277023 - } - ] - } - } - }, - "trainEvaluationReport": { - "reportType": "Evaluation", - "evaluationType": "Train", - "summary": { - "dictionary": "Iris", - "database": "..\/..\/..\/datasets\/Iris\/Iris.txt", - "samplePercentage": 70, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "", - "instances": 99, - "learningTask": "Classification analysis", - "targetVariable": "Class", - "mainTargetValue": "Iris-setosa" - }, - "predictorsPerformance": [ - { - "rank": "R1", - "type": "Classifier", - "family": "Selective Naive Bayes", - "name": "Selective Naive Bayes", - "accuracy": 1, - "compression": 0.98326, - "auc": 1 - }, - { - "rank": "R2", - "type": "Classifier", - "family": "Univariate", - "name": "Univariate SPetalLength", - "accuracy": 0.969697, - "compression": 0.884895, - "auc": 0.983648 - } - ], - "predictorsDetailedPerformance": { - "R1": { - "confusionMatrix": { - "values": ["Iris-setosa","Iris-versicolor","Iris-virginica"], - "matrix": [ - [31,0,0], - [0,37,0], - [0,0,31] - ] - } - }, - "R2": { - "confusionMatrix": { - "values": ["Iris-setosa","Iris-versicolor","Iris-virginica"], - "matrix": [ - [31,0,0], - [0,36,2], - [0,1,29] - ] - }, - "dataGrid": { - "isSupervised": true, - "dimensions": [ - { - "variable": "SPetalLength", - "type": "Categorical", - "partitionType": "Value groups", - "partition": [ - ["4","3"], - ["1"], - ["5","6"] - ], - "defaultGroupIndex": 2 - }, - { - "variable": "Class", - "type": "Categorical", - "partitionType": "Values", - "partition": ["Iris-setosa","Iris-versicolor","Iris-virginica"] - } - ], - "partTargetFrequencies": [ - [0,36,2], - [31,0,0], - [0,1,29] - ], - "partInterests": [0.311045,0.374224,0.314731] - } - } - }, - "liftCurves": [ - { - "targetValue": "Iris-setosa", - "curves": [ - { - "classifier": "Optimal", - "values": 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"selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -156,6 +160,8 @@ "values": 2, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 6.13404, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj b/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj index 7f553c42..6a9847a4 100644 --- a/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj +++ b/tests/resources/analysis_results/ref_json_reports/LatinGreek.khj @@ -1,6 +1,6 @@ { "tool": "Khiops", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "modelingReport": { "reportType": "Modeling", @@ -139,7 +139,9 @@ "targetDescriptiveStats": { "values": 3, "mode": "ASCII", - "modeFrequency": 10 + "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "targetValues": { "values": ["ASCII","UTF8 Greek","UTF8 Latin"], @@ -147,8 +149,10 @@ }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -170,6 +174,8 @@ "values": 3, "mode": "", "modeFrequency": 10, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, "preparationCost": 16.6153, "dataCost": 0 diff --git a/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj b/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj index 108647fc..34a22836 100644 --- a/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj +++ b/tests/resources/analysis_results/ref_json_reports/MissingDiscretization.khj @@ -1,104 +1,105 @@ -{ - "tool": "Khiops", - "version": "10.0.0.3i", - "shortDescription": "", - 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b/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj index 314aa69f..f454aee9 100644 --- a/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj +++ b/tests/resources/analysis_results/ref_json_reports/NoBivariateDetailedStats.khj @@ -26,6 +26,7 @@ "evaluatedVariables": 2, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 1 }, @@ -43,6 +44,7 @@ "mean": 1.5, "stdDev": 0.5, "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 1.38629 }, { @@ -52,6 +54,8 @@ "values": 2, "mode": "A", "modeFrequency": 1, + "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 1.38629 } ], diff --git a/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj b/tests/resources/analysis_results/ref_json_reports/NoPredictorDetails.khj index ddbbee46..e41cd180 100644 --- 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} ] }, @@ -124,21 +163,24 @@ "samplingMode": "Include sample", "selectionVariable": "", "selectionValue": "", - "instances": 68, + "instances": 70, "learningTask": "Regression analysis", "targetVariable": "Target", "targetDescriptiveStats": { "values": 4, "min": 0, "max": 3, - "mean": 1.279411765, - "stdDev": 1.198597075, - "missingNumber": 0 + "mean": 1.514285714, + "stdDev": 1.180107224, + "missingNumber": 0, + "sparseMissingNumber": 0 }, "evaluatedVariables": 1, "informativeVariables": 1, + "selectedVariables": 1, "featureEngineering": { "maxNumberOfConstructedVariables": 0, + "maxNumberOfTextFeatures": 0, "maxNumberOfTrees": 0, "maxNumberOfVariablePairs": 0 }, @@ -147,7 +189,7 @@ "nullModel": { "constructionCost": 0.693147, "preparationCost": 0, - "dataCost": 221.956 + "dataCost": 230.439 } }, "variablesStatistics": [ @@ -155,18 +197,19 @@ "rank": "R1", "name": "Source", "type": "Numerical", - "level": 0.159413, + "level": 0.16219, "targetParts": 2, "parts": 2, "values": 4, "min": 0, "max": 3, - "mean": 1.308823529, - "stdDev": 1.127951722, + "mean": 1.528571429, + "stdDev": 1.091806217, "missingNumber": 0, + "sparseMissingNumber": 0, "constructionCost": 0.693147, - "preparationCost": 8.5745, - "dataCost": 177.889 + "preparationCost": 8.65129, + "dataCost": 184.301 } ], "variablesDetailedStatistics": { @@ -194,10 +237,10 @@ } ], "partTargetFrequencies": [ - [39,0], - [0,29] + [34,0], + [0,36] ], - "partInterests": [0.467322,0.532678] + "partInterests": [0.506325,0.493675] } } } diff --git a/tests/resources/analysis_results/ref_reports/Adult.txt b/tests/resources/analysis_results/ref_reports/Adult.txt deleted file mode 100644 index c53d6551..00000000 --- a/tests/resources/analysis_results/ref_reports/Adult.txt +++ /dev/null @@ -1,4657 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Adult -Variables - Categorical 9 - Numerical 7 - Total 16 -Database ../../../datasets/Adult/Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 34174 -Learning task Classification analysis -Target variable class -Main target value more -Target descriptive stats - Values 2 - Mode less - Mode frequency 26028 -Target variable stats - less 26028 - more 8146 -Evaluated variables 15 -Informative variables 13 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 10.4392 - Data cost 18762.8 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 relationship Categorical 0.207419 4 6 Husband 13781 3.4012 46.5087 14829.9 -R02 marital_status Categorical 0.19789 3 7 Married-civ-spouse 15653 3.4012 39.1965 15016.2 -R03 capital_gain Numerical 0.135437 20 120 0 99999 1077.573272 7458.589277 0 3.4012 232.759 15995.1 -R04 age Numerical 0.118138 10 74 17 90 38.65719553 13.7247169 0 3.4012 106.285 16446.3 -R05 education_num Numerical 0.114003 7 16 1 16 10.07233569 2.570667893 0 3.4012 78.827 16551.4 -R06 education Categorical 0.113466 7 16 HS-grad 11045 3.4012 88.9034 16551.4 -R07 occupation Categorical 0.0879994 7 14 Prof-specialty 6288 3.4012 86.5284 17031.9 -R08 hours_per_week Numerical 0.0667205 6 95 1 99 40.41060455 12.43409782 0 3.4012 69.08 17448.8 -R09 capital_loss Numerical 0.0529043 16 96 0 4356 88.68692573 405.648105 0 3.4012 202.197 17575.1 -R10 sex Categorical 0.0453622 2 2 Male 22863 3.4012 20.8139 17898.1 -R11 workclass Categorical 0.0206918 4 8 Private 25713 3.4012 47.5643 18334.5 -R12 race Categorical 0.0106475 2 5 White 29231 3.4012 25.7688 18544.9 -R13 native_country Categorical 0.0063401 3 41 United-States 31267 3.4012 74.6717 18576.8 -R14 Label Numerical 0 1 34174 1 48842 24460.29183 14094.37599 0 0.693147 10.4392 18762.8 -R15 fnlwgt Numerical 0 1 22523 12285 1490400 189619.5541 105285.481 0 0.693147 10.4392 18762.8 - -Detailed variable statistics - -Rank R01 relationship Categorical - -Data grid Supervised -Dimensions -relationship Categorical Value groups - {Husband, Wife} Husband Wife - {Not-in-family} Not-in-family - {Own-child, Other-relative} Own-child Other-relative * - {Unmarried} Unmarried -class Categorical Values - less - more -Cells -Value group less more Interest -{Husband, Wife} 8487 6942 0.42026 -{Not-in-family} 7916 871 0.144028 -{Own-child, Other-relative} 6210 107 0.331951 -{Unmarried} 3415 226 0.103761 - -Input values - Husband 13781 - Not-in-family 8787 - Own-child 5289 - Unmarried 3641 - Wife 1648 - Other-relative 1028 - -Rank R02 marital_status Categorical - -Data grid Supervised -Dimensions -marital_status Categorical Value groups - {Married-civ-spouse, Married-AF-spouse} Married-civ-spouse Married-AF-spouse * - {Never-married, Separated} Never-married Separated - {Divorced, Widowed, Married-spouse-absent} Divorced Widowed Married-spouse-absent -class Categorical Values - less - more -Cells -Value group less more Interest -{Married-civ-spouse, Married-AF-spouse} 8699 6977 0.428554 -{Never-married, Separated} 11773 550 0.467191 -{Divorced, Widowed, Married-spouse-absent} 5556 619 0.104255 - -Input values - Married-civ-spouse 15653 - Never-married 11245 - Divorced 4676 - Separated 1078 - Widowed 1054 - Married-spouse-absent 445 - Married-AF-spouse 23 - -Rank R03 capital_gain Numerical - -Data grid Supervised -Dimensions -capital_gain Numerical Intervals - ]-inf;57] 0 57 - ]57;3040] 57 3040 - ]3040;3120] 3040 3120 - ]3120;4240] 3120 4240 - ]4240;4400] 4240 4400 - ]4400;4668] 4400 4668 - ]4668;4826] 4668 4826 - ]4826;4932.5] 4826 4932.5 - ]4932.5;4970] 4932.5 4970 - ]4970;5119] 4970 5119 - ]5119;5310] 5119 5310 - ]5310;6667] 5310 6667 - ]6667;7070] 6667 7070 - ]7070;7436] 7070 7436 - ]7436;7560] 7436 7560 - ]7560;10543] 7560 10543 - ]10543;10585] 10543 10585 - ]10585;30900] 10585 30900 - ]30900;70000] 30900 70000 - ]70000;+inf[ 70000 99999 -class Categorical Values - less - more -Cells -Interval less more Interest -]-inf;57] 24935 6425 0.036328 -]57;3040] 483 0 0.0476561 -]3040;3120] 3 103 0.0488677 -]3120;4240] 327 0 0.032264 -]4240;4400] 11 66 0.0239359 -]4400;4668] 76 0 0.00749868 -]4668;4826] 0 22 0.0114311 -]4826;4932.5] 17 0 0.00167734 -]4932.5;4970] 0 8 0.00415677 -]4970;5119] 87 0 0.00858401 -]5119;5310] 0 104 0.054038 -]5310;6667] 31 28 0.00281621 -]6667;7070] 37 0 0.00365067 -]7070;7436] 0 260 0.135095 -]7436;7560] 5 0 0.000493334 -]7560;10543] 2 395 0.200881 -]10543;10585] 5 0 0.000493334 -]10585;30900] 1 564 0.290493 -]30900;70000] 8 0 0.000789334 -]70000;+inf[ 0 171 0.088851 - -Rank R04 age Numerical - -Data grid Supervised -Dimensions -age Numerical Intervals - ]-inf;20.5] 17 20.5 - ]20.5;23.5] 20.5 23.5 - ]23.5;26.5] 23.5 26.5 - ]26.5;28.5] 26.5 28.5 - ]28.5;31.5] 28.5 31.5 - ]31.5;35.5] 31.5 35.5 - ]35.5;42.5] 35.5 42.5 - ]42.5;55.5] 42.5 55.5 - ]55.5;61.5] 55.5 61.5 - ]61.5;+inf[ 61.5 90 -class Categorical Values - less - more -Cells -Interval less more Interest -]-inf;20.5] 2523 1 0.297283 -]20.5;23.5] 2485 34 0.238516 -]23.5;26.5] 2341 136 0.133666 -]26.5;28.5] 1538 190 0.040517 -]28.5;31.5] 2222 526 0.00767092 -]31.5;35.5] 2776 898 0.000161185 -]35.5;42.5] 4024 2008 0.0601262 -]42.5;55.5] 4950 3162 0.200273 -]55.5;61.5] 1427 707 0.020585 -]61.5;+inf[ 1742 484 0.00120059 - -Rank R05 education_num Numerical - -Data grid Supervised -Dimensions -education_num Numerical Intervals - ]-inf;8.5] 1 8.5 - ]8.5;9.5] 8.5 9.5 - ]9.5;10.5] 9.5 10.5 - ]10.5;12.5] 10.5 12.5 - ]12.5;13.5] 12.5 13.5 - ]13.5;14.5] 13.5 14.5 - ]14.5;+inf[ 14.5 16 -class Categorical Values - less - more -Cells -Interval less more Interest -]-inf;8.5] 4224 250 0.248922 -]8.5;9.5] 9292 1753 0.096573 -]9.5;10.5] 6226 1437 0.0263235 -]10.5;12.5] 1909 671 0.00150022 -]12.5;13.5] 3288 2273 0.179713 -]13.5;14.5] 831 1023 0.191076 -]14.5;+inf[ 258 739 0.255893 - -Rank R06 education Categorical - -Data grid Supervised -Dimensions -education Categorical Value groups - {HS-grad} HS-grad - {Some-college} Some-college - {Bachelors} Bachelors - {11th, 10th, 7th-8th, ...} 11th 10th 7th-8th 9th 12th 5th-6th 1st-4th Preschool * - {Assoc-voc, Assoc-acdm} Assoc-voc Assoc-acdm - {Masters} Masters - {Prof-school, Doctorate} Prof-school Doctorate -class Categorical Values - less - more -Cells -Value group less more Interest -{HS-grad} 9292 1753 0.096573 -{Some-college} 6226 1437 0.0263235 -{Bachelors} 3288 2273 0.179713 -{11th, 10th, 7th-8th, ...} 4224 250 0.248922 -{Assoc-voc, Assoc-acdm} 1909 671 0.00150022 -{Masters} 831 1023 0.191076 -{Prof-school, Doctorate} 258 739 0.255893 - -Input values - HS-grad 11045 - Some-college 7663 - Bachelors 5561 - Masters 1854 - Assoc-voc 1465 - 11th 1265 - Assoc-acdm 1115 - 10th 952 - 7th-8th 658 - Prof-school 577 - 9th 535 - 12th 458 - Doctorate 420 - 5th-6th 362 - 1st-4th 190 - Preschool 54 - -Rank R07 occupation Categorical - -Data grid Supervised -Dimensions -occupation Categorical Value groups - {Adm-clerical, Machine-op-inspct, Farming-fishing} Adm-clerical Machine-op-inspct Farming-fishing - {Prof-specialty, Armed-Forces} Prof-specialty Armed-Forces * - {Craft-repair, Transport-moving} Craft-repair Transport-moving - {Sales, Tech-support, Protective-serv} Sales Tech-support Protective-serv - {Exec-managerial} Exec-managerial - {Other-service, Priv-house-serv} Other-service Priv-house-serv - {Handlers-cleaners} Handlers-cleaners -class Categorical Values - less - more -Cells -Value group less more Interest -{Adm-clerical, Machine-op-inspct, Farming-fishing} 6177 933 0.149983 -{Prof-specialty, Armed-Forces} 4161 2140 0.0960551 -{Craft-repair, Transport-moving} 4644 1309 0.00333952 -{Sales, Tech-support, Protective-serv} 4030 1509 0.010052 -{Exec-managerial} 2222 2018 0.330687 -{Other-service, Priv-house-serv} 3463 138 0.325246 -{Handlers-cleaners} 1331 99 0.084638 - -Input values - Prof-specialty 6288 - Craft-repair 4290 - Exec-managerial 4240 - Adm-clerical 3917 - Sales 3852 - Other-service 3430 - Machine-op-inspct 2140 - Transport-moving 1663 - Handlers-cleaners 1430 - Farming-fishing 1053 - Tech-support 1003 - Protective-serv 684 - Priv-house-serv 171 - Armed-Forces 13 - -Rank R08 hours_per_week Numerical - -Data grid Supervised -Dimensions -hours_per_week Numerical Intervals - ]-inf;34.5] 1 34.5 - ]34.5;39.5] 34.5 39.5 - ]39.5;40.5] 39.5 40.5 - ]40.5;49.5] 40.5 49.5 - ]49.5;64.5] 49.5 64.5 - ]64.5;+inf[ 64.5 99 -class Categorical Values - less - more -Cells -Interval less more Interest -]-inf;34.5] 5485 410 0.45826 -]34.5;39.5] 1923 359 0.0349894 -]39.5;40.5] 12550 3441 0.0187227 -]40.5;49.5] 2163 1118 0.0674108 -]49.5;64.5] 3154 2406 0.390525 -]64.5;+inf[ 753 412 0.030092 - -Rank R09 capital_loss Numerical - -Data grid Supervised -Dimensions -capital_loss Numerical Intervals - ]-inf;70] 0 70 - ]70;1457] 70 1457 - ]1457;1494] 1457 1494 - ]1494;1551] 1494 1551 - ]1551;1568.5] 1551 1568.5 - ]1568.5;1820.5] 1568.5 1820.5 - ]1820.5;1859] 1820.5 1859 - ]1859;1881] 1859 1881 - ]1881;1927] 1881 1927 - ]1927;1975.5] 1927 1975.5 - ]1975.5;1978.5] 1975.5 1978.5 - ]1978.5;2161] 1978.5 2161 - ]2161;2176.5] 2161 2176.5 - ]2176.5;2384] 2176.5 2384 - ]2384;2450] 2384 2450 - ]2450;+inf[ 2450 4356 -class Categorical Values - less - more -Cells -Interval less more Interest -]-inf;70] 25227 7329 0.0135746 -]70;1457] 92 2 0.0155286 -]1457;1494] 20 33 0.0150177 -]1494;1551] 23 0 0.00533179 -]1551;1568.5] 0 29 0.0354029 -]1568.5;1820.5] 353 3 0.0707515 -]1820.5;1859] 2 49 0.0530989 -]1859;1881] 45 0 0.0104318 -]1881;1927] 13 372 0.408768 -]1927;1975.5] 19 0 0.00440452 -]1975.5;1978.5] 0 183 0.223404 -]1978.5;2161] 131 0 0.030368 -]2161;2176.5] 0 9 0.0109871 -]2176.5;2384] 83 32 0.000414099 -]2384;2450] 0 71 0.086676 -]2450;+inf[ 20 34 0.0158399 - -Rank R10 sex Categorical - -Data grid Supervised -Dimensions -sex Categorical Value groups - {Male} Male - {Female} Female * -class Categorical Values - less - more -Cells -Value group less more Interest -{Male} 15950 6913 0.283758 -{Female} 10078 1233 0.716242 - -Input values - Male 22863 - Female 11311 - -Rank R11 workclass Categorical - -Data grid Supervised -Dimensions -workclass Categorical Value groups - {Private, Without-pay, Never-worked} Private Without-pay Never-worked * - {Self-emp-not-inc, Local-gov, State-gov} Self-emp-not-inc Local-gov State-gov - {Self-emp-inc} Self-emp-inc - {Federal-gov} Federal-gov -class Categorical Values - less - more -Cells -Value group less more Interest -{Private, Without-pay, Never-worked} 20389 5347 0.164421 -{Self-emp-not-inc, Local-gov, State-gov} 4485 1768 0.078268 -{Self-emp-inc} 532 656 0.64463 -{Federal-gov} 622 375 0.112681 - -Input values - Private 25713 - Self-emp-not-inc 2698 - Local-gov 2216 - State-gov 1339 - Self-emp-inc 1188 - Federal-gov 997 - Without-pay 15 - Never-worked 8 - -Rank R12 race Categorical - -Data grid Supervised -Dimensions -race Categorical Value groups - {White, Asian-Pac-Islander} White Asian-Pac-Islander - {Black, Amer-Indian-Eskimo, Other} Black Amer-Indian-Eskimo Other * -class Categorical Values - less - more -Cells -Value group less more Interest -{White, Asian-Pac-Islander} 22590 7703 0.0972591 -{Black, Amer-Indian-Eskimo, Other} 3438 443 0.902741 - -Input values - White 29231 - Black 3276 - Asian-Pac-Islander 1062 - Amer-Indian-Eskimo 335 - Other 270 - -Rank R13 native_country Categorical - -Data grid Supervised -Dimensions -native_country Categorical Value groups - {United-States, Philippines, Germany, ...} United-States Philippines Germany Cuba China South Poland Portugal Ireland Thailand Yugoslavia Scotland - {Mexico, Puerto-Rico, El-Salvador, ...} Mexico Puerto-Rico El-Salvador Dominican-Republic Jamaica Columbia Vietnam Guatemala Haiti Ecuador Peru Nicaragua Laos Outlying-US Trinadad&Tobago Honduras Holand-Netherlands * - {Canada, India, England, ...} Canada India England Italy Japan Taiwan Iran Greece France Cambodia Hong Hungary -class Categorical Values - less - more -Cells -Value group less more Interest -{United-States, Philippines, Germany, ...} 24257 7816 0.0138949 -{Mexico, Puerto-Rico, El-Salvador, ...} 1363 98 0.848593 -{Canada, India, England, ...} 408 232 0.137512 - -Input values - United-States 31267 - Mexico 672 - Philippines 203 - Germany 150 - Puerto-Rico 133 - Canada 121 - El-Salvador 116 - Cuba 100 - India 98 - China 89 - England 84 - South 82 - Italy 75 - Dominican-Republic 74 - Jamaica 69 - Columbia 64 - Japan 63 - Vietnam 63 - Guatemala 60 - Poland 58 - Haiti 52 - Portugal 48 - Taiwan 46 - Iran 38 - Greece 36 - Ecuador 33 - Peru 31 - Nicaragua 29 - France 26 - Ireland 24 - Thailand 23 - Cambodia 21 - Laos 20 - Outlying-US 18 - Hong 17 - Yugoslavia 16 - Hungary 15 - Trinadad&Tobago 15 - Scotland 13 - Honduras 11 - Holand-Netherlands 1 - - -Report Modeling - -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable class -Main target value more - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 13 -R2 Classifier Univariate Univariate relationship 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -Pcapital_gain capital_gain 0.135437 0.910187 0.351103 -Pmarital_status marital_status 0.19789 0.529327 0.323649 -Prelationship relationship 0.207419 0.382355 0.281616 -Page age 0.118138 0.572296 0.260019 -Peducation_num education_num 0.114003 0.500031 0.238757 -Poccupation occupation 0.0879994 0.491241 0.207916 -Pcapital_loss capital_loss 0.0529043 0.773468 0.202286 -Phours_per_week hours_per_week 0.0667205 0.445343 0.172376 -Peducation education 0.113466 0.246124 0.167113 -Prace race 0.0106475 0.242218 0.050784 -Pnative_country native_country 0.0063401 0.359406 0.0477354 -Pworkclass workclass 0.0206918 0.054718 0.0336484 -Psex sex 0.0453622 0.00393677 0.0133634 - - -Report Evaluation Train - -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 34174 -Learning task Classification analysis -Target variable class -Main target value more - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.868526 0.490196 0.925735 -R2 Classifier Univariate Univariate relationship 0.761632 0.208972 0.779064 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - less more -$less 24638 3103 -$more 1390 5043 - -Rank R2 - -Confusion matrix - less more -$less 26028 8146 -$more 0 0 - -Data grid Supervised -Dimensions -relationship Categorical Value groups - {Husband, Wife} Husband Wife - {Not-in-family} Not-in-family - {Own-child, Other-relative} Own-child Other-relative * - {Unmarried} Unmarried -class Categorical Values - less - more -Cells -Value group less more Interest -{Husband, Wife} 8487 6942 0.42026 -{Not-in-family} 7916 871 0.144028 -{Own-child, Other-relative} 6210 107 0.331951 -{Unmarried} 3415 226 0.103761 - -Lift curves less -Size Random Optimal Selective Naive Bayes Univariate relationship -0.0 0.0 0 0 0 -0.1 0.1 0.131297 0.131297 0.129073 -0.2 0.2 0.262594 0.262594 0.258146 -0.3 0.3 0.393891 0.393891 0.387219 -0.4 0.4 0.525188 0.525188 0.516292 -0.5 0.5 0.656485 0.656485 0.645365 -0.6 0.6 0.787782 0.787782 0.774439 -0.7 0.7 0.919079 0.919079 0.903512 -0.8 0.8 1.05038 1.05038 1.03258 -0.9 0.9 1.18167 1.18167 1.16166 -1.0 1.0 1.31297 1.31297 1.29073 -1.1 1.1 1.44427 1.44427 1.4198 -1.2 1.2 1.57556 1.57556 1.54888 -1.3 1.3 1.70686 1.70686 1.67795 -1.4 1.4 1.83816 1.83816 1.80702 -1.5 1.5 1.96946 1.96946 1.9361 -1.6 1.6 2.10075 2.10075 2.06517 -1.7 1.7 2.23205 2.23205 2.19424 -1.8 1.8 2.36335 2.36335 2.32332 -1.9 1.9 2.49464 2.49464 2.45239 -2.0 2.0 2.62594 2.62594 2.58146 -2.1 2.1 2.75724 2.75724 2.71054 -2.2 2.2 2.88854 2.88854 2.83961 -2.3 2.3 3.01983 3.01983 2.96868 -2.4 2.4 3.15113 3.15113 3.09775 -2.5 2.5 3.28243 3.28243 3.22683 -2.6 2.6 3.41372 3.41372 3.3559 -2.7 2.7 3.54502 3.54502 3.48497 -2.8 2.8 3.67632 3.67632 3.61405 -2.9 2.9 3.80761 3.80761 3.74312 -3.0 3.0 3.93891 3.93891 3.87219 -3.1 3.1 4.07021 4.07021 4.00127 -3.2 3.2 4.20151 4.20151 4.13034 -3.3 3.3 4.3328 4.3328 4.25941 -3.4 3.4 4.4641 4.4641 4.38849 -3.5 3.5 4.5954 4.5954 4.51756 -3.6 3.6 4.72669 4.72669 4.64663 -3.7 3.7 4.85799 4.85799 4.7757 -3.8 3.8 4.98929 4.98929 4.90478 -3.9 3.9 5.12059 5.12059 5.03385 -4.0 4.0 5.25188 5.25188 5.16292 -4.1 4.1 5.38318 5.38318 5.292 -4.2 4.2 5.51448 5.51448 5.42107 -4.3 4.3 5.64577 5.64577 5.55014 -4.4 4.4 5.77707 5.77707 5.67922 -4.5 4.5 5.90837 5.90453 5.80829 -4.6 4.6 6.03966 6.03582 5.93736 -4.7 4.7 6.17096 6.16712 6.06644 -4.8 4.8 6.30226 6.29842 6.19551 -4.9 4.9 6.43356 6.42971 6.32458 -5.0 5.0 6.56485 6.56101 6.45365 -5.1 5.1 6.69615 6.69231 6.58273 -5.2 5.2 6.82745 6.82361 6.7118 -5.3 5.3 6.95874 6.9549 6.84087 -5.4 5.4 7.09004 7.0862 6.96995 -5.5 5.5 7.22134 7.2175 7.09902 -5.6 5.6 7.35264 7.34879 7.22809 -5.7 5.7 7.48393 7.48009 7.35717 -5.8 5.8 7.61523 7.61139 7.48624 -5.9 5.9 7.74653 7.74268 7.61531 -6.0 6.0 7.87782 7.87398 7.74439 -6.1 6.1 8.00912 8.00528 7.87346 -6.2 6.2 8.14042 8.13658 8.00253 -6.3 6.3 8.27172 8.26787 8.13161 -6.4 6.4 8.40301 8.39917 8.26068 -6.5 6.5 8.53431 8.53047 8.38975 -6.6 6.6 8.66561 8.66176 8.51882 -6.7 6.7 8.7969 8.79306 8.6479 -6.8 6.8 8.9282 8.92436 8.77697 -6.9 6.9 9.0595 9.05566 8.90604 -7.0 7.0 9.19079 9.18695 9.03512 -7.1 7.1 9.32209 9.31825 9.16419 -7.2 7.2 9.45339 9.44955 9.29326 -7.3 7.3 9.58469 9.58084 9.42234 -7.4 7.4 9.71598 9.71214 9.55141 -7.5 7.5 9.84728 9.84344 9.68048 -7.6 7.6 9.97858 9.97473 9.80956 -7.7 7.7 10.1099 10.106 9.93863 -7.8 7.8 10.2412 10.2373 10.0677 -7.9 7.9 10.3725 10.3686 10.1968 -8.0 8.0 10.5038 10.4999 10.3258 -8.1 8.1 10.6351 10.6312 10.4549 -8.2 8.2 10.7664 10.7625 10.584 -8.3 8.3 10.8977 10.8938 10.7131 -8.4 8.4 11.029 11.0251 10.8421 -8.5 8.5 11.1603 11.1564 10.9712 -8.6 8.6 11.2915 11.2877 11.1003 -8.7 8.7 11.4228 11.419 11.2294 -8.8 8.8 11.5541 11.5503 11.3584 -8.9 8.9 11.6854 11.6816 11.4875 -9.0 9.0 11.8167 11.8129 11.6166 -9.1 9.1 11.948 11.9442 11.7457 -9.2 9.2 12.0793 12.0755 11.8747 -9.3 9.3 12.2106 12.2068 12.0038 -9.4 9.4 12.3419 12.3381 12.1329 -9.5 9.5 12.4732 12.4655 12.2619 -9.6 9.6 12.6045 12.5968 12.391 -9.7 9.7 12.7358 12.7281 12.5201 -9.8 9.8 12.8671 12.8594 12.6492 -9.9 9.9 12.9984 12.9907 12.7782 -10.0 10.0 13.1297 13.122 12.9073 -10.1 10.1 13.261 13.2533 13.0364 -10.2 10.2 13.3923 13.3846 13.1655 -10.3 10.3 13.5236 13.5159 13.2945 -10.4 10.4 13.6549 13.6472 13.4236 -10.5 10.5 13.7862 13.7785 13.5527 -10.6 10.6 13.9175 13.9098 13.6817 -10.7 10.7 14.0488 14.0411 13.8108 -10.8 10.8 14.1801 14.1724 13.9399 -10.9 10.9 14.3114 14.3037 14.069 -11.0 11.0 14.4427 14.4312 14.198 -11.1 11.1 14.574 14.5624 14.3271 -11.2 11.2 14.7053 14.6937 14.4562 -11.3 11.3 14.8366 14.825 14.5853 -11.4 11.4 14.9679 14.9563 14.7143 -11.5 11.5 15.0992 15.0876 14.8434 -11.6 11.6 15.2305 15.2189 14.9725 -11.7 11.7 15.3618 15.3502 15.1016 -11.8 11.8 15.4931 15.4815 15.2306 -11.9 11.9 15.6244 15.6128 15.3597 -12.0 12.0 15.7556 15.7441 15.4888 -12.1 12.1 15.8869 15.8754 15.6178 -12.2 12.2 16.0182 16.0067 15.7469 -12.3 12.3 16.1495 16.138 15.876 -12.4 12.4 16.2808 16.2693 16.0051 -12.5 12.5 16.4121 16.4006 16.1341 -12.6 12.6 16.5434 16.5319 16.2632 -12.7 12.7 16.6747 16.6632 16.3923 -12.8 12.8 16.806 16.7945 16.5214 -12.9 12.9 16.9373 16.9258 16.6504 -13.0 13.0 17.0686 17.0571 16.7795 -13.1 13.1 17.1999 17.1884 16.9086 -13.2 13.2 17.3312 17.3197 17.0376 -13.3 13.3 17.4625 17.451 17.1667 -13.4 13.4 17.5938 17.5823 17.2958 -13.5 13.5 17.7251 17.7136 17.4249 -13.6 13.6 17.8564 17.8449 17.5539 -13.7 13.7 17.9877 17.9762 17.683 -13.8 13.8 18.119 18.1075 17.8121 -13.9 13.9 18.2503 18.2388 17.9412 -14.0 14.0 18.3816 18.3701 18.0702 -14.1 14.1 18.5129 18.5014 18.1993 -14.2 14.2 18.6442 18.6327 18.3284 -14.3 14.3 18.7755 18.764 18.4575 -14.4 14.4 18.9068 18.8953 18.5865 -14.5 14.5 19.0381 19.0265 18.7156 -14.6 14.6 19.1694 19.1578 18.8447 -14.7 14.7 19.3007 19.2891 18.9737 -14.8 14.8 19.432 19.4204 19.1028 -14.9 14.9 19.5633 19.5479 19.2319 -15.0 15.0 19.6946 19.6792 19.361 -15.1 15.1 19.8259 19.8105 19.49 -15.2 15.2 19.9572 19.9418 19.6191 -15.3 15.3 20.0885 20.0731 19.7482 -15.4 15.4 20.2197 20.2044 19.8773 -15.5 15.5 20.351 20.3357 20.0063 -15.6 15.6 20.4823 20.467 20.1354 -15.7 15.7 20.6136 20.5983 20.2645 -15.8 15.8 20.7449 20.7296 20.3935 -15.9 15.9 20.8762 20.8609 20.5226 -16.0 16.0 21.0075 20.9922 20.6517 -16.1 16.1 21.1388 21.1196 20.7808 -16.2 16.2 21.2701 21.2509 20.9098 -16.3 16.3 21.4014 21.3822 21.0389 -16.4 16.4 21.5327 21.5135 21.168 -16.5 16.5 21.664 21.6448 21.2971 -16.6 16.6 21.7953 21.7723 21.4261 -16.7 16.7 21.9266 21.9036 21.5552 -16.8 16.8 22.0579 22.0349 21.6843 -16.9 16.9 22.1892 22.1662 21.8134 -17.0 17.0 22.3205 22.2974 21.9424 -17.1 17.1 22.4518 22.4287 22.0715 -17.2 17.2 22.5831 22.56 22.2006 -17.3 17.3 22.7144 22.6913 22.3296 -17.4 17.4 22.8457 22.8226 22.4587 -17.5 17.5 22.977 22.9524 22.5878 -17.6 17.6 23.1083 23.0814 22.7169 -17.7 17.7 23.2396 23.2127 22.8459 -17.8 17.8 23.3709 23.344 22.975 -17.9 17.9 23.5022 23.4753 23.1041 -18.0 18.0 23.6335 23.6066 23.2332 -18.1 18.1 23.7648 23.7379 23.3622 -18.2 18.2 23.8961 23.8692 23.4913 -18.3 18.3 24.0274 24.0005 23.6204 -18.4 18.4 24.1587 24.1318 23.7495 -18.5 18.5 24.29 24.2631 23.8776 -18.6 18.6 24.4213 24.3944 24.0008 -18.7 18.7 24.5526 24.5257 24.1239 -18.8 18.8 24.6838 24.657 24.2471 -18.9 18.9 24.8151 24.7883 24.3702 -19.0 19.0 24.9464 24.9195 24.4934 -19.1 19.1 25.0777 25.047 24.6165 -19.2 19.2 25.209 25.1783 24.7397 -19.3 19.3 25.3403 25.3096 24.8628 -19.4 19.4 25.4716 25.4409 24.9859 -19.5 19.5 25.6029 25.5722 25.1091 -19.6 19.6 25.7342 25.7035 25.2322 -19.7 19.7 25.8655 25.8348 25.3554 -19.8 19.8 25.9968 25.9661 25.4785 -19.9 19.9 26.1281 26.0974 25.6017 -20.0 20.0 26.2594 26.2287 25.7248 -20.1 20.1 26.3907 26.36 25.848 -20.2 20.2 26.522 26.4913 25.9711 -20.3 20.3 26.6533 26.6187 26.0943 -20.4 20.4 26.7846 26.75 26.2174 -20.5 20.5 26.9159 26.8813 26.3406 -20.6 20.6 27.0472 27.0126 26.4637 -20.7 20.7 27.1785 27.1439 26.5869 -20.8 20.8 27.3098 27.2675 26.71 -20.9 20.9 27.4411 27.3988 26.8332 -21.0 21.0 27.5724 27.5301 26.9563 -21.1 21.1 27.7037 27.6614 27.0795 -21.2 21.2 27.835 27.7927 27.2026 -21.3 21.3 27.9663 27.924 27.3257 -21.4 21.4 28.0976 28.0553 27.4489 -21.5 21.5 28.2289 28.1866 27.572 -21.6 21.6 28.3602 28.3179 27.6952 -21.7 21.7 28.4915 28.4492 27.8183 -21.8 21.8 28.6228 28.5805 27.9415 -21.9 21.9 28.7541 28.7118 28.0646 -22.0 22.0 28.8854 28.8431 28.1878 -22.1 22.1 29.0167 28.9705 28.3109 -22.2 22.2 29.1479 29.1018 28.4341 -22.3 22.3 29.2792 29.2331 28.5572 -22.4 22.4 29.4105 29.3606 28.6804 -22.5 22.5 29.5418 29.4919 28.8035 -22.6 22.6 29.6731 29.6232 28.9267 -22.7 22.7 29.8044 29.7545 29.0498 -22.8 22.8 29.9357 29.8819 29.173 -22.9 22.9 30.067 30.0132 29.2961 -23.0 23.0 30.1983 30.1445 29.4193 -23.1 23.1 30.3296 30.272 29.5424 -23.2 23.2 30.4609 30.4033 29.6655 -23.3 23.3 30.5922 30.5346 29.7887 -23.4 23.4 30.7235 30.6659 29.9118 -23.5 23.5 30.8548 30.7972 30.035 -23.6 23.6 30.9861 30.9285 30.1581 -23.7 23.7 31.1174 31.0559 30.2813 -23.8 23.8 31.2487 31.1872 30.4044 -23.9 23.9 31.38 31.3185 30.5276 -24.0 24.0 31.5113 31.4498 30.6507 -24.1 24.1 31.6426 31.5773 30.7739 -24.2 24.2 31.7739 31.7086 30.897 -24.3 24.3 31.9052 31.8399 31.0202 -24.4 24.4 32.0365 31.9712 31.1433 -24.5 24.5 32.1678 32.1025 31.2665 -24.6 24.6 32.2991 32.2299 31.3896 -24.7 24.7 32.4304 32.3612 31.5128 -24.8 24.8 32.5617 32.4925 31.6359 -24.9 24.9 32.693 32.6238 31.7591 -25.0 25.0 32.8243 32.7551 31.8822 -25.1 25.1 32.9556 32.8864 32.0053 -25.2 25.2 33.0869 33.0139 32.1285 -25.3 25.3 33.2182 33.1452 32.2516 -25.4 25.4 33.3495 33.2726 32.3748 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99.8895 98.1357 -79.5 79.5 100 99.8895 98.1617 -79.6 79.6 100 99.8895 98.1878 -79.7 79.7 100 99.8895 98.2138 -79.8 79.8 100 99.9018 98.2398 -79.9 79.9 100 99.9018 98.2659 -80.0 80.0 100 99.9018 98.2919 -80.1 80.1 100 99.9018 98.318 -80.2 80.2 100 99.9018 98.344 -80.3 80.3 100 99.9018 98.37 -80.4 80.4 100 99.9018 98.3961 -80.5 80.5 100 99.9018 98.4221 -80.6 80.6 100 99.9018 98.4482 -80.7 80.7 100 99.9018 98.4742 -80.8 80.8 100 99.9018 98.5002 -80.9 80.9 100 99.9018 98.5263 -81.0 81.0 100 99.9141 98.5523 -81.1 81.1 100 99.9141 98.5784 -81.2 81.2 100 99.9141 98.6044 -81.3 81.3 100 99.9141 98.6304 -81.4 81.4 100 99.9141 98.6565 -81.5 81.5 100 99.9141 98.6825 -81.6 81.6 100 99.9141 98.6925 -81.7 81.7 100 99.9141 98.6996 -81.8 81.8 100 99.9141 98.7067 -81.9 81.9 100 99.9141 98.7138 -82.0 82.0 100 99.9141 98.7209 -82.1 82.1 100 99.9141 98.728 -82.2 82.2 100 99.9141 98.7351 -82.3 82.3 100 99.9141 98.7422 -82.4 82.4 100 99.9141 98.7493 -82.5 82.5 100 99.9213 98.7565 -82.6 82.6 100 99.9263 98.7636 -82.7 82.7 100 99.9263 98.7707 -82.8 82.8 100 99.9263 98.7778 -82.9 82.9 100 99.9263 98.7849 -83.0 83.0 100 99.9263 98.792 -83.1 83.1 100 99.9263 98.7991 -83.2 83.2 100 99.9263 98.8062 -83.3 83.3 100 99.9263 98.8133 -83.4 83.4 100 99.9263 98.8204 -83.5 83.5 100 99.9386 98.8275 -83.6 83.6 100 99.9386 98.8346 -83.7 83.7 100 99.9386 98.8417 -83.8 83.8 100 99.9386 98.8488 -83.9 83.9 100 99.9386 98.8559 -84.0 84.0 100 99.9509 98.863 -84.1 84.1 100 99.9509 98.8701 -84.2 84.2 100 99.9509 98.8773 -84.3 84.3 100 99.9509 98.8844 -84.4 84.4 100 99.9509 98.8915 -84.5 84.5 100 99.9509 98.8986 -84.6 84.6 100 99.9509 98.9057 -84.7 84.7 100 99.9509 98.9128 -84.8 84.8 100 99.9509 98.9199 -84.9 84.9 100 99.9509 98.927 -85.0 85.0 100 99.9509 98.9341 -85.1 85.1 100 99.9509 98.9412 -85.2 85.2 100 99.9632 98.9483 -85.3 85.3 100 99.9632 98.9554 -85.4 85.4 100 99.9632 98.9625 -85.5 85.5 100 99.9632 98.9696 -85.6 85.6 100 99.9632 98.9767 -85.7 85.7 100 99.9632 98.9838 -85.8 85.8 100 99.9632 98.991 -85.9 85.9 100 99.9632 98.9981 -86.0 86.0 100 99.9632 99.0052 -86.1 86.1 100 99.9632 99.0123 -86.2 86.2 100 99.9632 99.0194 -86.3 86.3 100 99.9632 99.0265 -86.4 86.4 100 99.9632 99.0336 -86.5 86.5 100 99.9632 99.0407 -86.6 86.6 100 99.9632 99.0478 -86.7 86.7 100 99.9632 99.0549 -86.8 86.8 100 99.9632 99.062 -86.9 86.9 100 99.9632 99.0691 -87.0 87.0 100 99.9632 99.0762 -87.1 87.1 100 99.9632 99.0833 -87.2 87.2 100 99.9632 99.0904 -87.3 87.3 100 99.9632 99.0975 -87.4 87.4 100 99.9632 99.1046 -87.5 87.5 100 99.9632 99.1118 -87.6 87.6 100 99.9632 99.1189 -87.7 87.7 100 99.9632 99.126 -87.8 87.8 100 99.9632 99.1331 -87.9 87.9 100 99.9632 99.1402 -88.0 88.0 100 99.9632 99.1473 -88.1 88.1 100 99.9632 99.1544 -88.2 88.2 100 99.9632 99.1615 -88.3 88.3 100 99.9632 99.1686 -88.4 88.4 100 99.9632 99.1757 -88.5 88.5 100 99.9632 99.1828 -88.6 88.6 100 99.9632 99.1899 -88.7 88.7 100 99.9632 99.197 -88.8 88.8 100 99.9632 99.2041 -88.9 88.9 100 99.9632 99.2112 -89.0 89.0 100 99.9632 99.2183 -89.1 89.1 100 99.9754 99.2254 -89.2 89.2 100 99.9754 99.2326 -89.3 89.3 100 99.9754 99.2397 -89.4 89.4 100 99.9754 99.2468 -89.5 89.5 100 99.9754 99.2539 -89.6 89.6 100 99.9754 99.261 -89.7 89.7 100 99.9754 99.2681 -89.8 89.8 100 99.9754 99.2752 -89.9 89.9 100 99.9754 99.2823 -90.0 90.0 100 99.9754 99.2894 -90.1 90.1 100 99.9754 99.2965 -90.2 90.2 100 99.9754 99.3036 -90.3 90.3 100 99.9754 99.3107 -90.4 90.4 100 99.9754 99.3178 -90.5 90.5 100 99.9754 99.3249 -90.6 90.6 100 99.9877 99.332 -90.7 90.7 100 99.9877 99.3391 -90.8 90.8 100 99.9877 99.3462 -90.9 90.9 100 99.9877 99.3534 -91.0 91.0 100 99.9877 99.3605 -91.1 91.1 100 99.9877 99.3676 -91.2 91.2 100 99.9877 99.3747 -91.3 91.3 100 99.9877 99.3818 -91.4 91.4 100 99.9877 99.3889 -91.5 91.5 100 99.9877 99.396 -91.6 91.6 100 99.9877 99.4031 -91.7 91.7 100 99.9877 99.4102 -91.8 91.8 100 99.9877 99.4173 -91.9 91.9 100 99.9877 99.4244 -92.0 92.0 100 99.9877 99.4315 -92.1 92.1 100 99.9877 99.4386 -92.2 92.2 100 99.9877 99.4457 -92.3 92.3 100 99.9877 99.4528 -92.4 92.4 100 99.9877 99.4599 -92.5 92.5 100 99.9877 99.4671 -92.6 92.6 100 99.9877 99.4742 -92.7 92.7 100 99.9877 99.4813 -92.8 92.8 100 99.9877 99.4884 -92.9 92.9 100 99.9877 99.4955 -93.0 93.0 100 99.9877 99.5026 -93.1 93.1 100 99.9877 99.5097 -93.2 93.2 100 99.9877 99.5168 -93.3 93.3 100 99.9877 99.5239 -93.4 93.4 100 99.9877 99.531 -93.5 93.5 100 99.9877 99.5381 -93.6 93.6 100 99.9877 99.5452 -93.7 93.7 100 99.9877 99.5523 -93.8 93.8 100 99.9877 99.5594 -93.9 93.9 100 99.9877 99.5665 -94.0 94.0 100 99.9877 99.5736 -94.1 94.1 100 99.9877 99.5807 -94.2 94.2 100 99.9877 99.5879 -94.3 94.3 100 99.9877 99.595 -94.4 94.4 100 99.9877 99.6021 -94.5 94.5 100 99.9877 99.6092 -94.6 94.6 100 99.9877 99.6163 -94.7 94.7 100 99.9877 99.6234 -94.8 94.8 100 99.9877 99.6305 -94.9 94.9 100 99.9877 99.6376 -95.0 95.0 100 99.9877 99.6447 -95.1 95.1 100 99.9877 99.6518 -95.2 95.2 100 99.9877 99.6589 -95.3 95.3 100 99.9877 99.666 -95.4 95.4 100 99.9877 99.6731 -95.5 95.5 100 99.9877 99.6802 -95.6 95.6 100 100 99.6873 -95.7 95.7 100 100 99.6944 -95.8 95.8 100 100 99.7015 -95.9 95.9 100 100 99.7087 -96.0 96.0 100 100 99.7158 -96.1 96.1 100 100 99.7229 -96.2 96.2 100 100 99.73 -96.3 96.3 100 100 99.7371 -96.4 96.4 100 100 99.7442 -96.5 96.5 100 100 99.7513 -96.6 96.6 100 100 99.7584 -96.7 96.7 100 100 99.7655 -96.8 96.8 100 100 99.7726 -96.9 96.9 100 100 99.7797 -97.0 97.0 100 100 99.7868 -97.1 97.1 100 100 99.7939 -97.2 97.2 100 100 99.801 -97.3 97.3 100 100 99.8081 -97.4 97.4 100 100 99.8152 -97.5 97.5 100 100 99.8224 -97.6 97.6 100 100 99.8295 -97.7 97.7 100 100 99.8366 -97.8 97.8 100 100 99.8437 -97.9 97.9 100 100 99.8508 -98.0 98.0 100 100 99.8579 -98.1 98.1 100 100 99.865 -98.2 98.2 100 100 99.8721 -98.3 98.3 100 100 99.8792 -98.4 98.4 100 100 99.8863 -98.5 98.5 100 100 99.8934 -98.6 98.6 100 100 99.9005 -98.7 98.7 100 100 99.9076 -98.8 98.8 100 100 99.9147 -98.9 98.9 100 100 99.9218 -99.0 99.0 100 100 99.9289 -99.1 99.1 100 100 99.936 -99.2 99.2 100 100 99.9432 -99.3 99.3 100 100 99.9503 -99.4 99.4 100 100 99.9574 -99.5 99.5 100 100 99.9645 -99.6 99.6 100 100 99.9716 -99.7 99.7 100 100 99.9787 -99.8 99.8 100 100 99.9858 -99.9 99.9 100 100 99.9929 -100.0 100.0 100 100 100 - - -Report Evaluation Test - -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 14668 -Learning task Classification analysis -Target variable class -Main target value more - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.870057 0.481524 0.923339 -R2 Classifier Univariate Univariate relationship 0.75859 0.20523 0.777504 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - less more -$less 10536 1315 -$more 591 2226 - -Rank R2 - -Confusion matrix - less more -$less 11127 3541 -$more 0 0 - -Data grid Supervised -Dimensions -relationship Categorical Value groups - {Husband, Wife} Husband Wife - {Not-in-family} Not-in-family - {Own-child, Other-relative} Own-child Other-relative * - {Unmarried} Unmarried -class Categorical Values - less - more -Cells -Value group less more Interest -{Husband, Wife} 3621 2997 0.42137 -{Not-in-family} 3391 405 0.134193 -{Own-child, Other-relative} 2714 56 0.333377 -{Unmarried} 1401 83 0.11106 - -Lift curves less -Size Random Optimal Selective Naive Bayes Univariate relationship -0.0 0.0 0 0 0 -0.1 0.1 0.131823 0.131823 0.129158 -0.2 0.2 0.263647 0.263647 0.258317 -0.3 0.3 0.39547 0.39547 0.387475 -0.4 0.4 0.527294 0.527294 0.516634 -0.5 0.5 0.659117 0.659117 0.645792 -0.6 0.6 0.790941 0.790941 0.774951 -0.7 0.7 0.922764 0.922764 0.904109 -0.8 0.8 1.05459 1.05459 1.03327 -0.9 0.9 1.18641 1.18641 1.16243 -1.0 1.0 1.31823 1.31823 1.29158 -1.1 1.1 1.45006 1.45006 1.42074 -1.2 1.2 1.58188 1.58188 1.5499 -1.3 1.3 1.71371 1.71371 1.67906 -1.4 1.4 1.84553 1.84553 1.80822 -1.5 1.5 1.97735 1.97735 1.93738 -1.6 1.6 2.10918 2.10918 2.06654 -1.7 1.7 2.241 2.241 2.19569 -1.8 1.8 2.37282 2.37282 2.32485 -1.9 1.9 2.50465 2.50465 2.45401 -2.0 2.0 2.63647 2.63647 2.58317 -2.1 2.1 2.76829 2.76829 2.71233 -2.2 2.2 2.90012 2.90012 2.84149 -2.3 2.3 3.03194 3.03194 2.97064 -2.4 2.4 3.16376 3.16376 3.0998 -2.5 2.5 3.29559 3.29559 3.22896 -2.6 2.6 3.42741 3.42741 3.35812 -2.7 2.7 3.55923 3.55923 3.48728 -2.8 2.8 3.69106 3.69106 3.61644 -2.9 2.9 3.82288 3.82288 3.7456 -3.0 3.0 3.9547 3.9547 3.87475 -3.1 3.1 4.08653 4.08653 4.00391 -3.2 3.2 4.21835 4.21835 4.13307 -3.3 3.3 4.35018 4.35018 4.26223 -3.4 3.4 4.482 4.482 4.39139 -3.5 3.5 4.61382 4.61382 4.52055 -3.6 3.6 4.74565 4.74565 4.6497 -3.7 3.7 4.87747 4.87747 4.77886 -3.8 3.8 5.00929 5.00929 4.90802 -3.9 3.9 5.14112 5.14112 5.03718 -4.0 4.0 5.27294 5.27294 5.16634 -4.1 4.1 5.40476 5.40476 5.2955 -4.2 4.2 5.53659 5.53659 5.42466 -4.3 4.3 5.66841 5.66841 5.55381 -4.4 4.4 5.80023 5.80023 5.68297 -4.5 4.5 5.93206 5.93206 5.81213 -4.6 4.6 6.06388 6.06388 5.94129 -4.7 4.7 6.1957 6.1957 6.07045 -4.8 4.8 6.32753 6.32753 6.19961 -4.9 4.9 6.45935 6.45935 6.32876 -5.0 5.0 6.59117 6.59117 6.45792 -5.1 5.1 6.723 6.723 6.58708 -5.2 5.2 6.85482 6.85482 6.71624 -5.3 5.3 6.98665 6.98665 6.8454 -5.4 5.4 7.11847 7.11847 6.97456 -5.5 5.5 7.25029 7.25029 7.10372 -5.6 5.6 7.38212 7.38212 7.23287 -5.7 5.7 7.51394 7.51394 7.36203 -5.8 5.8 7.64576 7.64576 7.49119 -5.9 5.9 7.77759 7.77759 7.62035 -6.0 6.0 7.90941 7.90941 7.74951 -6.1 6.1 8.04123 8.04123 7.87867 -6.2 6.2 8.17306 8.17306 8.00783 -6.3 6.3 8.30488 8.30488 8.13698 -6.4 6.4 8.4367 8.4367 8.26614 -6.5 6.5 8.56853 8.56853 8.3953 -6.6 6.6 8.70035 8.70035 8.52446 -6.7 6.7 8.83217 8.83217 8.65362 -6.8 6.8 8.964 8.964 8.78278 -6.9 6.9 9.09582 9.09582 8.91193 -7.0 7.0 9.22764 9.22764 9.04109 -7.1 7.1 9.35947 9.35947 9.17025 -7.2 7.2 9.49129 9.49129 9.29941 -7.3 7.3 9.62311 9.62311 9.42857 -7.4 7.4 9.75494 9.75494 9.55773 -7.5 7.5 9.88676 9.88676 9.68689 -7.6 7.6 10.0186 10.0096 9.81604 -7.7 7.7 10.1504 10.1414 9.9452 -7.8 7.8 10.2822 10.2732 10.0744 -7.9 7.9 10.4141 10.4051 10.2035 -8.0 8.0 10.5459 10.5369 10.3327 -8.1 8.1 10.6777 10.6687 10.4618 -8.2 8.2 10.8095 10.8005 10.591 -8.3 8.3 10.9413 10.9324 10.7202 -8.4 8.4 11.0732 11.0642 10.8493 -8.5 8.5 11.205 11.196 10.9785 -8.6 8.6 11.3368 11.3278 11.1076 -8.7 8.7 11.4686 11.4597 11.2368 -8.8 8.8 11.6005 11.5915 11.3659 -8.9 8.9 11.7323 11.7233 11.4951 -9.0 9.0 11.8641 11.8551 11.6243 -9.1 9.1 11.9959 11.987 11.7534 -9.2 9.2 12.1278 12.1188 11.8826 -9.3 9.3 12.2596 12.2506 12.0117 -9.4 9.4 12.3914 12.3824 12.1409 -9.5 9.5 12.5232 12.5142 12.2701 -9.6 9.6 12.6551 12.6461 12.3992 -9.7 9.7 12.7869 12.7779 12.5284 -9.8 9.8 12.9187 12.9097 12.6575 -9.9 9.9 13.0505 13.0415 12.7867 -10.0 10.0 13.1823 13.1734 12.9158 -10.1 10.1 13.3142 13.3052 13.045 -10.2 10.2 13.446 13.437 13.1742 -10.3 10.3 13.5778 13.5688 13.3033 -10.4 10.4 13.7096 13.7007 13.4325 -10.5 10.5 13.8415 13.8325 13.5616 -10.6 10.6 13.9733 13.9643 13.6908 -10.7 10.7 14.1051 14.0961 13.82 -10.8 10.8 14.2369 14.228 13.9491 -10.9 10.9 14.3688 14.3598 14.0783 -11.0 11.0 14.5006 14.4916 14.2074 -11.1 11.1 14.6324 14.6234 14.3366 -11.2 11.2 14.7642 14.7552 14.4657 -11.3 11.3 14.8961 14.8871 14.5949 -11.4 11.4 15.0279 15.0189 14.7241 -11.5 11.5 15.1597 15.1507 14.8532 -11.6 11.6 15.2915 15.2825 14.9824 -11.7 11.7 15.4233 15.4144 15.1115 -11.8 11.8 15.5552 15.5462 15.2407 -11.9 11.9 15.687 15.678 15.3699 -12.0 12.0 15.8188 15.8098 15.499 -12.1 12.1 15.9506 15.9417 15.6282 -12.2 12.2 16.0825 16.0735 15.7573 -12.3 12.3 16.2143 16.2053 15.8865 -12.4 12.4 16.3461 16.3371 16.0157 -12.5 12.5 16.4779 16.4689 16.1448 -12.6 12.6 16.6098 16.6008 16.274 -12.7 12.7 16.7416 16.7326 16.4031 -12.8 12.8 16.8734 16.8644 16.5323 -12.9 12.9 17.0052 16.9962 16.6614 -13.0 13.0 17.1371 17.1281 16.7906 -13.1 13.1 17.2689 17.2599 16.9198 -13.2 13.2 17.4007 17.3917 17.0489 -13.3 13.3 17.5325 17.5235 17.1781 -13.4 13.4 17.6643 17.6554 17.3072 -13.5 13.5 17.7962 17.7872 17.4364 -13.6 13.6 17.928 17.919 17.5656 -13.7 13.7 18.0598 18.0508 17.6947 -13.8 13.8 18.1916 18.1827 17.8239 -13.9 13.9 18.3235 18.3145 17.953 -14.0 14.0 18.4553 18.4463 18.0822 -14.1 14.1 18.5871 18.5781 18.2113 -14.2 14.2 18.7189 18.7099 18.3405 -14.3 14.3 18.8508 18.8418 18.4697 -14.4 14.4 18.9826 18.9736 18.5988 -14.5 14.5 19.1144 19.1054 18.728 -14.6 14.6 19.2462 19.2372 18.8571 -14.7 14.7 19.3781 19.3691 18.9863 -14.8 14.8 19.5099 19.5009 19.1155 -14.9 14.9 19.6417 19.6327 19.2446 -15.0 15.0 19.7735 19.7645 19.3738 -15.1 15.1 19.9053 19.8964 19.5029 -15.2 15.2 20.0372 20.0282 19.6321 -15.3 15.3 20.169 20.16 19.7612 -15.4 15.4 20.3008 20.2918 19.8904 -15.5 15.5 20.4326 20.4237 20.0196 -15.6 15.6 20.5645 20.5555 20.1487 -15.7 15.7 20.6963 20.6873 20.2779 -15.8 15.8 20.8281 20.8191 20.407 -15.9 15.9 20.9599 20.9509 20.5362 -16.0 16.0 21.0918 21.0828 20.6654 -16.1 16.1 21.2236 21.2146 20.7945 -16.2 16.2 21.3554 21.3464 20.9237 -16.3 16.3 21.4872 21.4782 21.0528 -16.4 16.4 21.6191 21.6101 21.182 -16.5 16.5 21.7509 21.7419 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94.4549 85.8632 -80.5 80.5 100 94.4999 85.9353 -80.6 80.6 100 94.5826 86.0075 -80.7 80.7 100 94.6215 86.0796 -80.8 80.8 100 94.6953 86.1517 -80.9 80.9 100 94.7537 86.2238 -81.0 81.0 100 94.8234 86.296 -81.1 81.1 100 94.8818 86.3681 -81.2 81.2 100 94.9577 86.4402 -81.3 81.3 100 95.0411 86.5124 -81.4 81.4 100 95.1009 86.5845 -81.5 81.5 100 95.1327 86.6566 -81.6 81.6 100 95.1951 86.7287 -81.7 81.7 100 95.2582 86.8009 -81.8 81.8 100 95.3177 86.873 -81.9 81.9 100 95.3536 86.9451 -82.0 82.0 100 95.3806 87.0172 -82.1 82.1 100 95.4255 87.0894 -82.2 82.2 100 95.4586 87.1615 -82.3 82.3 100 95.5285 87.2336 -82.4 82.4 100 95.6002 87.3057 -82.5 82.5 100 95.6511 87.3779 -82.6 82.6 100 95.7021 87.45 -82.7 82.7 100 95.7925 87.5221 -82.8 82.8 100 95.8631 87.5943 -82.9 82.9 100 95.9537 87.6664 -83.0 83.0 100 96.0187 87.7385 -83.1 83.1 100 96.0736 87.8106 -83.2 83.2 100 96.1575 87.8828 -83.3 83.3 100 96.2114 87.9549 -83.4 83.4 100 96.2484 88.027 -83.5 83.5 100 96.2821 88.0991 -83.6 83.6 100 96.3486 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61.7208 53.0226 27.9506 -15.0 15.0 62.135 53.1319 28.1382 -15.1 15.1 62.5492 53.403 28.3258 -15.2 15.2 62.9635 53.66 28.5134 -15.3 15.3 63.3777 53.9171 28.701 -15.4 15.4 63.7919 54.1901 28.8885 -15.5 15.5 64.2062 54.4067 29.0761 -15.6 15.6 64.6204 54.7169 29.2637 -15.7 15.7 65.0346 54.9609 29.4513 -15.8 15.8 65.4489 55.2771 29.6389 -15.9 15.9 65.8631 55.5382 29.8265 -16.0 16.0 66.2773 55.7541 30.0141 -16.1 16.1 66.6916 55.9186 30.2017 -16.2 16.2 67.1058 56.0834 30.3892 -16.3 16.3 67.52 56.3049 30.5768 -16.4 16.4 67.9343 56.4603 30.7644 -16.5 16.5 68.3485 56.6657 30.952 -16.6 16.6 68.7627 56.9738 31.1396 -16.7 16.7 69.177 57.272 31.3272 -16.8 16.8 69.5912 57.5167 31.5148 -16.9 16.9 70.0054 57.6673 31.7024 -17.0 17.0 70.4197 57.9091 31.89 -17.1 17.1 70.8339 58.1192 32.0775 -17.2 17.2 71.2481 58.2485 32.2651 -17.3 17.3 71.6624 58.4409 32.4527 -17.4 17.4 72.0766 58.571 32.6403 -17.5 17.5 72.4908 58.8252 32.8279 -17.6 17.6 72.9051 59.0794 33.0155 -17.7 17.7 73.3193 59.2684 33.2031 -17.8 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98.4842 -82.0 82.0 100 99.9435 98.4926 -82.1 82.1 100 99.9435 98.501 -82.2 82.2 100 99.9435 98.5094 -82.3 82.3 100 99.9435 98.5177 -82.4 82.4 100 99.9435 98.5261 -82.5 82.5 100 99.9435 98.5345 -82.6 82.6 100 99.9435 98.5429 -82.7 82.7 100 99.9435 98.5512 -82.8 82.8 100 99.9435 98.5596 -82.9 82.9 100 99.9435 98.568 -83.0 83.0 100 99.9435 98.5764 -83.1 83.1 100 99.9435 98.5847 -83.2 83.2 100 99.9435 98.5931 -83.3 83.3 100 99.9435 98.6015 -83.4 83.4 100 99.9718 98.6099 -83.5 83.5 100 99.9718 98.6182 -83.6 83.6 100 99.9718 98.6266 -83.7 83.7 100 99.9718 98.635 -83.8 83.8 100 99.9718 98.6433 -83.9 83.9 100 99.9718 98.6517 -84.0 84.0 100 99.9718 98.6601 -84.1 84.1 100 99.9718 98.6685 -84.2 84.2 100 99.9718 98.6768 -84.3 84.3 100 99.9718 98.6852 -84.4 84.4 100 99.9718 98.6936 -84.5 84.5 100 99.9718 98.702 -84.6 84.6 100 99.9718 98.7103 -84.7 84.7 100 99.9718 98.7187 -84.8 84.8 100 99.9718 98.7271 -84.9 84.9 100 99.9718 98.7355 -85.0 85.0 100 99.9718 98.7438 -85.1 85.1 100 99.9718 98.7522 -85.2 85.2 100 99.9718 98.7606 -85.3 85.3 100 99.9718 98.769 -85.4 85.4 100 99.9718 98.7773 -85.5 85.5 100 99.9718 98.7857 -85.6 85.6 100 99.9718 98.7941 -85.7 85.7 100 99.9718 98.8025 -85.8 85.8 100 99.9718 98.8108 -85.9 85.9 100 99.9718 98.8192 -86.0 86.0 100 99.9718 98.8276 -86.1 86.1 100 99.9718 98.836 -86.2 86.2 100 99.9718 98.8443 -86.3 86.3 100 99.9718 98.8527 -86.4 86.4 100 99.9718 98.8611 -86.5 86.5 100 99.9718 98.8695 -86.6 86.6 100 99.9718 98.8778 -86.7 86.7 100 99.9718 98.8862 -86.8 86.8 100 99.9718 98.8946 -86.9 86.9 100 99.9718 98.903 -87.0 87.0 100 99.9718 98.9113 -87.1 87.1 100 99.9718 98.9197 -87.2 87.2 100 99.9718 98.9281 -87.3 87.3 100 99.9718 98.9365 -87.4 87.4 100 99.9718 98.9448 -87.5 87.5 100 99.9718 98.9532 -87.6 87.6 100 99.9718 98.9616 -87.7 87.7 100 99.9718 98.9699 -87.8 87.8 100 99.9718 98.9783 -87.9 87.9 100 99.9718 98.9867 -88.0 88.0 100 99.9718 98.9951 -88.1 88.1 100 99.9718 99.0034 -88.2 88.2 100 99.9718 99.0118 -88.3 88.3 100 99.9718 99.0202 -88.4 88.4 100 99.9718 99.0286 -88.5 88.5 100 99.9718 99.0369 -88.6 88.6 100 99.9718 99.0453 -88.7 88.7 100 99.9718 99.0537 -88.8 88.8 100 99.9718 99.0621 -88.9 88.9 100 99.9718 99.0704 -89.0 89.0 100 99.9718 99.0788 -89.1 89.1 100 99.9718 99.0872 -89.2 89.2 100 99.9718 99.0956 -89.3 89.3 100 99.9718 99.1039 -89.4 89.4 100 99.9718 99.1123 -89.5 89.5 100 99.9718 99.1207 -89.6 89.6 100 99.9718 99.1291 -89.7 89.7 100 99.9718 99.1374 -89.8 89.8 100 99.9718 99.1458 -89.9 89.9 100 99.9718 99.1542 -90.0 90.0 100 99.9718 99.1626 -90.1 90.1 100 99.9718 99.1709 -90.2 90.2 100 99.9718 99.1793 -90.3 90.3 100 99.9718 99.1877 -90.4 90.4 100 99.9718 99.1961 -90.5 90.5 100 99.9718 99.2044 -90.6 90.6 100 99.9718 99.2128 -90.7 90.7 100 99.9718 99.2212 -90.8 90.8 100 99.9718 99.2296 -90.9 90.9 100 99.9718 99.2379 -91.0 91.0 100 99.9718 99.2463 -91.1 91.1 100 99.9718 99.2547 -91.2 91.2 100 99.9718 99.2631 -91.3 91.3 100 99.9718 99.2714 -91.4 91.4 100 99.9718 99.2798 -91.5 91.5 100 99.9718 99.2882 -91.6 91.6 100 99.9718 99.2966 -91.7 91.7 100 99.9718 99.3049 -91.8 91.8 100 99.9718 99.3133 -91.9 91.9 100 99.9718 99.3217 -92.0 92.0 100 99.9718 99.33 -92.1 92.1 100 99.9718 99.3384 -92.2 92.2 100 99.9718 99.3468 -92.3 92.3 100 99.9718 99.3552 -92.4 92.4 100 99.9718 99.3635 -92.5 92.5 100 100 99.3719 -92.6 92.6 100 100 99.3803 -92.7 92.7 100 100 99.3887 -92.8 92.8 100 100 99.397 -92.9 92.9 100 100 99.4054 -93.0 93.0 100 100 99.4138 -93.1 93.1 100 100 99.4222 -93.2 93.2 100 100 99.4305 -93.3 93.3 100 100 99.4389 -93.4 93.4 100 100 99.4473 -93.5 93.5 100 100 99.4557 -93.6 93.6 100 100 99.464 -93.7 93.7 100 100 99.4724 -93.8 93.8 100 100 99.4808 -93.9 93.9 100 100 99.4892 -94.0 94.0 100 100 99.4975 -94.1 94.1 100 100 99.5059 -94.2 94.2 100 100 99.5143 -94.3 94.3 100 100 99.5227 -94.4 94.4 100 100 99.531 -94.5 94.5 100 100 99.5394 -94.6 94.6 100 100 99.5478 -94.7 94.7 100 100 99.5562 -94.8 94.8 100 100 99.5645 -94.9 94.9 100 100 99.5729 -95.0 95.0 100 100 99.5813 -95.1 95.1 100 100 99.5897 -95.2 95.2 100 100 99.598 -95.3 95.3 100 100 99.6064 -95.4 95.4 100 100 99.6148 -95.5 95.5 100 100 99.6232 -95.6 95.6 100 100 99.6315 -95.7 95.7 100 100 99.6399 -95.8 95.8 100 100 99.6483 -95.9 95.9 100 100 99.6566 -96.0 96.0 100 100 99.665 -96.1 96.1 100 100 99.6734 -96.2 96.2 100 100 99.6818 -96.3 96.3 100 100 99.6901 -96.4 96.4 100 100 99.6985 -96.5 96.5 100 100 99.7069 -96.6 96.6 100 100 99.7153 -96.7 96.7 100 100 99.7236 -96.8 96.8 100 100 99.732 -96.9 96.9 100 100 99.7404 -97.0 97.0 100 100 99.7488 -97.1 97.1 100 100 99.7571 -97.2 97.2 100 100 99.7655 -97.3 97.3 100 100 99.7739 -97.4 97.4 100 100 99.7823 -97.5 97.5 100 100 99.7906 -97.6 97.6 100 100 99.799 -97.7 97.7 100 100 99.8074 -97.8 97.8 100 100 99.8158 -97.9 97.9 100 100 99.8241 -98.0 98.0 100 100 99.8325 -98.1 98.1 100 100 99.8409 -98.2 98.2 100 100 99.8493 -98.3 98.3 100 100 99.8576 -98.4 98.4 100 100 99.866 -98.5 98.5 100 100 99.8744 -98.6 98.6 100 100 99.8828 -98.7 98.7 100 100 99.8911 -98.8 98.8 100 100 99.8995 -98.9 98.9 100 100 99.9079 -99.0 99.0 100 100 99.9163 -99.1 99.1 100 100 99.9246 -99.2 99.2 100 100 99.933 -99.3 99.3 100 100 99.9414 -99.4 99.4 100 100 99.9498 -99.5 99.5 100 100 99.9581 -99.6 99.6 100 100 99.9665 -99.7 99.7 100 100 99.9749 -99.8 99.8 100 100 99.9833 -99.9 99.9 100 100 99.9916 -100.0 100.0 100 100 100 diff --git a/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt b/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt deleted file mode 100644 index e3f89173..00000000 --- a/tests/resources/analysis_results/ref_reports/AdultEvaluation.txt +++ /dev/null @@ -1,2046 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Evaluation - -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 34174 -Learning task Classification analysis -Target variable class -Main target value more - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.868526 0.490196 0.925735 -R2 Classifier Univariate Univariate relationship 0.761632 0.208972 0.779064 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - less more -$less 24638 3103 -$more 1390 5043 - -Rank R2 - -Confusion matrix - less more -$less 26028 8146 -$more 0 0 - -Lift curves less -Size Random Optimal Selective Naive Bayes Univariate relationship -0.0 0.0 0 0 0 -0.1 0.1 0.131297 0.131297 0.129073 -0.2 0.2 0.262594 0.262594 0.258146 -0.3 0.3 0.393891 0.393891 0.387219 -0.4 0.4 0.525188 0.525188 0.516292 -0.5 0.5 0.656485 0.656485 0.645365 -0.6 0.6 0.787782 0.787782 0.774439 -0.7 0.7 0.919079 0.919079 0.903512 -0.8 0.8 1.05038 1.05038 1.03258 -0.9 0.9 1.18167 1.18167 1.16166 -1.0 1.0 1.31297 1.31297 1.29073 -1.1 1.1 1.44427 1.44427 1.4198 -1.2 1.2 1.57556 1.57556 1.54888 -1.3 1.3 1.70686 1.70686 1.67795 -1.4 1.4 1.83816 1.83816 1.80702 -1.5 1.5 1.96946 1.96946 1.9361 -1.6 1.6 2.10075 2.10075 2.06517 -1.7 1.7 2.23205 2.23205 2.19424 -1.8 1.8 2.36335 2.36335 2.32332 -1.9 1.9 2.49464 2.49464 2.45239 -2.0 2.0 2.62594 2.62594 2.58146 -2.1 2.1 2.75724 2.75724 2.71054 -2.2 2.2 2.88854 2.88854 2.83961 -2.3 2.3 3.01983 3.01983 2.96868 -2.4 2.4 3.15113 3.15113 3.09775 -2.5 2.5 3.28243 3.28243 3.22683 -2.6 2.6 3.41372 3.41372 3.3559 -2.7 2.7 3.54502 3.54502 3.48497 -2.8 2.8 3.67632 3.67632 3.61405 -2.9 2.9 3.80761 3.80761 3.74312 -3.0 3.0 3.93891 3.93891 3.87219 -3.1 3.1 4.07021 4.07021 4.00127 -3.2 3.2 4.20151 4.20151 4.13034 -3.3 3.3 4.3328 4.3328 4.25941 -3.4 3.4 4.4641 4.4641 4.38849 -3.5 3.5 4.5954 4.5954 4.51756 -3.6 3.6 4.72669 4.72669 4.64663 -3.7 3.7 4.85799 4.85799 4.7757 -3.8 3.8 4.98929 4.98929 4.90478 -3.9 3.9 5.12059 5.12059 5.03385 -4.0 4.0 5.25188 5.25188 5.16292 -4.1 4.1 5.38318 5.38318 5.292 -4.2 4.2 5.51448 5.51448 5.42107 -4.3 4.3 5.64577 5.64577 5.55014 -4.4 4.4 5.77707 5.77707 5.67922 -4.5 4.5 5.90837 5.90453 5.80829 -4.6 4.6 6.03966 6.03582 5.93736 -4.7 4.7 6.17096 6.16712 6.06644 -4.8 4.8 6.30226 6.29842 6.19551 -4.9 4.9 6.43356 6.42971 6.32458 -5.0 5.0 6.56485 6.56101 6.45365 -5.1 5.1 6.69615 6.69231 6.58273 -5.2 5.2 6.82745 6.82361 6.7118 -5.3 5.3 6.95874 6.9549 6.84087 -5.4 5.4 7.09004 7.0862 6.96995 -5.5 5.5 7.22134 7.2175 7.09902 -5.6 5.6 7.35264 7.34879 7.22809 -5.7 5.7 7.48393 7.48009 7.35717 -5.8 5.8 7.61523 7.61139 7.48624 -5.9 5.9 7.74653 7.74268 7.61531 -6.0 6.0 7.87782 7.87398 7.74439 -6.1 6.1 8.00912 8.00528 7.87346 -6.2 6.2 8.14042 8.13658 8.00253 -6.3 6.3 8.27172 8.26787 8.13161 -6.4 6.4 8.40301 8.39917 8.26068 -6.5 6.5 8.53431 8.53047 8.38975 -6.6 6.6 8.66561 8.66176 8.51882 -6.7 6.7 8.7969 8.79306 8.6479 -6.8 6.8 8.9282 8.92436 8.77697 -6.9 6.9 9.0595 9.05566 8.90604 -7.0 7.0 9.19079 9.18695 9.03512 -7.1 7.1 9.32209 9.31825 9.16419 -7.2 7.2 9.45339 9.44955 9.29326 -7.3 7.3 9.58469 9.58084 9.42234 -7.4 7.4 9.71598 9.71214 9.55141 -7.5 7.5 9.84728 9.84344 9.68048 -7.6 7.6 9.97858 9.97473 9.80956 -7.7 7.7 10.1099 10.106 9.93863 -7.8 7.8 10.2412 10.2373 10.0677 -7.9 7.9 10.3725 10.3686 10.1968 -8.0 8.0 10.5038 10.4999 10.3258 -8.1 8.1 10.6351 10.6312 10.4549 -8.2 8.2 10.7664 10.7625 10.584 -8.3 8.3 10.8977 10.8938 10.7131 -8.4 8.4 11.029 11.0251 10.8421 -8.5 8.5 11.1603 11.1564 10.9712 -8.6 8.6 11.2915 11.2877 11.1003 -8.7 8.7 11.4228 11.419 11.2294 -8.8 8.8 11.5541 11.5503 11.3584 -8.9 8.9 11.6854 11.6816 11.4875 -9.0 9.0 11.8167 11.8129 11.6166 -9.1 9.1 11.948 11.9442 11.7457 -9.2 9.2 12.0793 12.0755 11.8747 -9.3 9.3 12.2106 12.2068 12.0038 -9.4 9.4 12.3419 12.3381 12.1329 -9.5 9.5 12.4732 12.4655 12.2619 -9.6 9.6 12.6045 12.5968 12.391 -9.7 9.7 12.7358 12.7281 12.5201 -9.8 9.8 12.8671 12.8594 12.6492 -9.9 9.9 12.9984 12.9907 12.7782 -10.0 10.0 13.1297 13.122 12.9073 -10.1 10.1 13.261 13.2533 13.0364 -10.2 10.2 13.3923 13.3846 13.1655 -10.3 10.3 13.5236 13.5159 13.2945 -10.4 10.4 13.6549 13.6472 13.4236 -10.5 10.5 13.7862 13.7785 13.5527 -10.6 10.6 13.9175 13.9098 13.6817 -10.7 10.7 14.0488 14.0411 13.8108 -10.8 10.8 14.1801 14.1724 13.9399 -10.9 10.9 14.3114 14.3037 14.069 -11.0 11.0 14.4427 14.4312 14.198 -11.1 11.1 14.574 14.5624 14.3271 -11.2 11.2 14.7053 14.6937 14.4562 -11.3 11.3 14.8366 14.825 14.5853 -11.4 11.4 14.9679 14.9563 14.7143 -11.5 11.5 15.0992 15.0876 14.8434 -11.6 11.6 15.2305 15.2189 14.9725 -11.7 11.7 15.3618 15.3502 15.1016 -11.8 11.8 15.4931 15.4815 15.2306 -11.9 11.9 15.6244 15.6128 15.3597 -12.0 12.0 15.7556 15.7441 15.4888 -12.1 12.1 15.8869 15.8754 15.6178 -12.2 12.2 16.0182 16.0067 15.7469 -12.3 12.3 16.1495 16.138 15.876 -12.4 12.4 16.2808 16.2693 16.0051 -12.5 12.5 16.4121 16.4006 16.1341 -12.6 12.6 16.5434 16.5319 16.2632 -12.7 12.7 16.6747 16.6632 16.3923 -12.8 12.8 16.806 16.7945 16.5214 -12.9 12.9 16.9373 16.9258 16.6504 -13.0 13.0 17.0686 17.0571 16.7795 -13.1 13.1 17.1999 17.1884 16.9086 -13.2 13.2 17.3312 17.3197 17.0376 -13.3 13.3 17.4625 17.451 17.1667 -13.4 13.4 17.5938 17.5823 17.2958 -13.5 13.5 17.7251 17.7136 17.4249 -13.6 13.6 17.8564 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99.9076 -98.8 98.8 100 100 99.9147 -98.9 98.9 100 100 99.9218 -99.0 99.0 100 100 99.9289 -99.1 99.1 100 100 99.936 -99.2 99.2 100 100 99.9432 -99.3 99.3 100 100 99.9503 -99.4 99.4 100 100 99.9574 -99.5 99.5 100 100 99.9645 -99.6 99.6 100 100 99.9716 -99.7 99.7 100 100 99.9787 -99.8 99.8 100 100 99.9858 -99.9 99.9 100 100 99.9929 -100.0 100.0 100 100 100 diff --git a/tests/resources/analysis_results/ref_reports/Ansi.txt b/tests/resources/analysis_results/ref_reports/Ansi.txt deleted file mode 100644 index 205278cb..00000000 --- a/tests/resources/analysis_results/ref_reports/Ansi.txt +++ /dev/null @@ -1,2120 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary MultipleEncodings -Variables - Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Ansi -Selection value 1 -Instances 20 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 2 - Mode ANSI - Mode frequency 10 -Target variable stats - ANSI 10 - ASCII 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 3.04452 - Data cost 12.1268 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.569655 2 2 10 0.693147 6.13404 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<é>} <é> * -Type Categorical Values - ANSI - ASCII -Cells -Value group ANSI ASCII Interest -{} 0 10 0.5 -{<é>} 10 0 0.5 - -Input values - 10 - <é> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Ansi -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.569655 1 0.754755 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Ansi -Selection value 1 -Instances 20 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.976385 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ANSI ASCII -$ANSI 10 0 -$ASCII 0 10 - -Lift curves ANSI -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.2 0.2 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+0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary MultipleEncodings -Variables - Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiGreek -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 3 - Mode ANSI - Mode frequency 10 -Target variable stats - ANSI 10 - ASCII 10 - UTF8 Greek 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 6.20658 - Data cost 29.345 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.522457 3 3 10 0.693147 16.6153 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<θ>} <θ> - {<é>} <é> * -Type Categorical Values - ANSI - ASCII - UTF8 Greek -Cells -Value group ANSI ASCII UTF8 Greek Interest -{} 0 10 0 0.333333 -{<θ>} 0 0 10 0.333333 -{<é>} 10 0 0 0.333333 - -Input values - 10 - <θ> 10 - <é> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiGreek -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.522457 1 0.722812 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiGreek -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.984513 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ANSI ASCII UTF8 Greek -$ANSI 10 0 0 -$ASCII 0 10 0 -$UTF8 Greek 0 0 10 - -Lift curves ANSI -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.3 0.3 -0.2 0.2 0.6 0.6 -0.3 0.3 0.9 0.9 -0.4 0.4 1.2 1.2 -0.5 0.5 1.5 1.5 -0.6 0.6 1.8 1.8 -0.7 0.7 2.1 2.1 -0.8 0.8 2.4 2.4 -0.9 0.9 2.7 2.7 -1.0 1.0 3 3 -1.1 1.1 3.3 3.3 -1.2 1.2 3.6 3.6 -1.3 1.3 3.9 3.9 -1.4 1.4 4.2 4.2 -1.5 1.5 4.5 4.5 -1.6 1.6 4.8 4.8 -1.7 1.7 5.1 5.1 -1.8 1.8 5.4 5.4 -1.9 1.9 5.7 5.7 -2.0 2.0 6 6 -2.1 2.1 6.3 6.3 -2.2 2.2 6.6 6.6 -2.3 2.3 6.9 6.9 -2.4 2.4 7.2 7.2 -2.5 2.5 7.5 7.5 -2.6 2.6 7.8 7.8 -2.7 2.7 8.1 8.1 -2.8 2.8 8.4 8.4 -2.9 2.9 8.7 8.7 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Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatin -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 3 - Mode ANSI - Mode frequency 10 -Target variable stats - ANSI 10 - ASCII 10 - UTF8 Latin 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 6.20658 - Data cost 29.345 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.522457 3 3 10 0.693147 16.6153 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<é>} <é> - {<é>} <é> * -Type Categorical Values - ANSI - ASCII - UTF8 Latin -Cells -Value group ANSI ASCII UTF8 Latin Interest -{} 0 10 0 0.333333 -{<é>} 0 0 10 0.333333 -{<é>} 10 0 0 0.333333 - -Input values - 10 - <é> 10 - <é> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatin -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.522457 1 0.722812 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatin -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.984513 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ANSI ASCII UTF8 Latin -$ANSI 10 0 0 -$ASCII 0 10 0 -$UTF8 Latin 0 0 10 - -Lift curves ANSI -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.3 0.3 -0.2 0.2 0.6 0.6 -0.3 0.3 0.9 0.9 -0.4 0.4 1.2 1.2 -0.5 0.5 1.5 1.5 -0.6 0.6 1.8 1.8 -0.7 0.7 2.1 2.1 -0.8 0.8 2.4 2.4 -0.9 0.9 2.7 2.7 -1.0 1.0 3 3 -1.1 1.1 3.3 3.3 -1.2 1.2 3.6 3.6 -1.3 1.3 3.9 3.9 -1.4 1.4 4.2 4.2 -1.5 1.5 4.5 4.5 -1.6 1.6 4.8 4.8 -1.7 1.7 5.1 5.1 -1.8 1.8 5.4 5.4 -1.9 1.9 5.7 5.7 -2.0 2.0 6 6 -2.1 2.1 6.3 6.3 -2.2 2.2 6.6 6.6 -2.3 2.3 6.9 6.9 -2.4 2.4 7.2 7.2 -2.5 2.5 7.5 7.5 -2.6 2.6 7.8 7.8 -2.7 2.7 8.1 8.1 -2.8 2.8 8.4 8.4 -2.9 2.9 8.7 8.7 -3.0 3.0 9 9 -3.1 3.1 9.3 9.3 -3.2 3.2 9.6 9.6 -3.3 3.3 9.9 9.9 -3.4 3.4 10.2 10.2 -3.5 3.5 10.5 10.5 -3.6 3.6 10.8 10.8 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-Sampling mode Include sample -Selection variable AnsiLatinGreek -Selection value 1 -Instances 40 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 4 - Mode ANSI - Mode frequency 10 -Target variable stats - ANSI 10 - ASCII 10 - UTF8 Greek 10 - UTF8 Latin 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 9.42068 - Data cost 49.903 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.508744 4 4 10 0.693147 28.7905 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<é>} <é> - {<θ>} <θ> - {<é>} <é> * -Type Categorical Values - ANSI - ASCII - UTF8 Greek - UTF8 Latin -Cells -Value group ANSI ASCII UTF8 Greek UTF8 Latin Interest -{} 0 10 0 0 0.25 -{<é>} 0 0 0 10 0.25 -{<θ>} 0 0 10 0 0.25 -{<é>} 10 0 0 0 0.25 - -Input values - 10 - <é> 10 - <θ> 10 - <é> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatinGreek -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.508744 1 0.713263 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatinGreek -Selection value 1 -Instances 40 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.988222 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ANSI ASCII UTF8 Greek UTF8 Latin -$ANSI 10 0 0 0 -$ASCII 0 10 0 0 -$UTF8 Greek 0 0 10 0 -$UTF8 Latin 0 0 0 10 - -Lift curves ANSI -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.4 0.4 -0.2 0.2 0.8 0.8 -0.3 0.3 1.2 1.2 -0.4 0.4 1.6 1.6 -0.5 0.5 2 2 -0.6 0.6 2.4 2.4 -0.7 0.7 2.8 2.8 -0.8 0.8 3.2 3.2 -0.9 0.9 3.6 3.6 -1.0 1.0 4 4 -1.1 1.1 4.4 4.4 -1.2 1.2 4.8 4.8 -1.3 1.3 5.2 5.2 -1.4 1.4 5.6 5.6 -1.5 1.5 6 6 -1.6 1.6 6.4 6.4 -1.7 1.7 6.8 6.8 -1.8 1.8 7.2 7.2 -1.9 1.9 7.6 7.6 -2.0 2.0 8 8 -2.1 2.1 8.4 8.4 -2.2 2.2 8.8 8.8 -2.3 2.3 9.2 9.2 -2.4 2.4 9.6 9.6 -2.5 2.5 10 10 -2.6 2.6 10.4 10.4 -2.7 2.7 10.8 10.8 -2.8 2.8 11.2 11.2 -2.9 2.9 11.6 11.6 -3.0 3.0 12 12 -3.1 3.1 12.4 12.4 -3.2 3.2 12.8 12.8 -3.3 3.3 13.2 13.2 -3.4 3.4 13.6 13.6 -3.5 3.5 14 14 -3.6 3.6 14.4 14.4 -3.7 3.7 14.8 14.8 -3.8 3.8 15.2 15.2 -3.9 3.9 15.6 15.6 -4.0 4.0 16 16 -4.1 4.1 16.4 16.4 -4.2 4.2 16.8 16.8 -4.3 4.3 17.2 17.2 -4.4 4.4 17.6 17.6 -4.5 4.5 18 18 -4.6 4.6 18.4 18.4 -4.7 4.7 18.8 18.8 -4.8 4.8 19.2 19.2 -4.9 4.9 19.6 19.6 -5.0 5.0 20 20 -5.1 5.1 20.4 20.4 -5.2 5.2 20.8 20.8 -5.3 5.3 21.2 21.2 -5.4 5.4 21.6 21.6 -5.5 5.5 22 22 -5.6 5.6 22.4 22.4 -5.7 5.7 22.8 22.8 -5.8 5.8 23.2 23.2 -5.9 5.9 23.6 23.6 -6.0 6.0 24 24 -6.1 6.1 24.4 24.4 -6.2 6.2 24.8 24.8 -6.3 6.3 25.2 25.2 -6.4 6.4 25.6 25.6 -6.5 6.5 26 26 -6.6 6.6 26.4 26.4 -6.7 6.7 26.8 26.8 -6.8 6.8 27.2 27.2 -6.9 6.9 27.6 27.6 -7.0 7.0 28 28 -7.1 7.1 28.4 28.4 -7.2 7.2 28.8 28.8 -7.3 7.3 29.2 29.2 -7.4 7.4 29.6 29.6 -7.5 7.5 30 30 -7.6 7.6 30.4 30.4 -7.7 7.7 30.8 30.8 -7.8 7.8 31.2 31.2 -7.9 7.9 31.6 31.6 -8.0 8.0 32 32 -8.1 8.1 32.4 32.4 -8.2 8.2 32.8 32.8 -8.3 8.3 33.2 33.2 -8.4 8.4 33.6 33.6 -8.5 8.5 34 34 -8.6 8.6 34.4 34.4 -8.7 8.7 34.8 34.8 -8.8 8.8 35.2 35.2 -8.9 8.9 35.6 35.6 -9.0 9.0 36 36 -9.1 9.1 36.4 36.4 -9.2 9.2 36.8 36.8 -9.3 9.3 37.2 37.2 -9.4 9.4 37.6 37.6 -9.5 9.5 38 38 -9.6 9.6 38.4 38.4 -9.7 9.7 38.8 38.8 -9.8 9.8 39.2 39.2 -9.9 9.9 39.6 39.6 -10.0 10.0 40 40 -10.1 10.1 40.4 40.4 -10.2 10.2 40.8 40.8 -10.3 10.3 41.2 41.2 -10.4 10.4 41.6 41.6 -10.5 10.5 42 42 -10.6 10.6 42.4 42.4 -10.7 10.7 42.8 42.8 -10.8 10.8 43.2 43.2 -10.9 10.9 43.6 43.6 -11.0 11.0 44 44 -11.1 11.1 44.4 44.4 -11.2 11.2 44.8 44.8 -11.3 11.3 45.2 45.2 -11.4 11.4 45.6 45.6 -11.5 11.5 46 46 -11.6 11.6 46.4 46.4 -11.7 11.7 46.8 46.8 -11.8 11.8 47.2 47.2 -11.9 11.9 47.6 47.6 -12.0 12.0 48 48 -12.1 12.1 48.4 48.4 -12.2 12.2 48.8 48.8 -12.3 12.3 49.2 49.2 -12.4 12.4 49.6 49.6 -12.5 12.5 50 50 -12.6 12.6 50.4 50.4 -12.7 12.7 50.8 50.8 -12.8 12.8 51.2 51.2 -12.9 12.9 51.6 51.6 -13.0 13.0 52 52 -13.1 13.1 52.4 52.4 -13.2 13.2 52.8 52.8 -13.3 13.3 53.2 53.2 -13.4 13.4 53.6 53.6 -13.5 13.5 54 54 -13.6 13.6 54.4 54.4 -13.7 13.7 54.8 54.8 -13.8 13.8 55.2 55.2 -13.9 13.9 55.6 55.6 -14.0 14.0 56 56 -14.1 14.1 56.4 56.4 -14.2 14.2 56.8 56.8 -14.3 14.3 57.2 57.2 -14.4 14.4 57.6 57.6 -14.5 14.5 58 58 -14.6 14.6 58.4 58.4 -14.7 14.7 58.8 58.8 -14.8 14.8 59.2 59.2 -14.9 14.9 59.6 59.6 -15.0 15.0 60 60 -15.1 15.1 60.4 60.4 -15.2 15.2 60.8 60.8 -15.3 15.3 61.2 61.2 -15.4 15.4 61.6 61.6 -15.5 15.5 62 62 -15.6 15.6 62.4 62.4 -15.7 15.7 62.8 62.8 -15.8 15.8 63.2 63.2 -15.9 15.9 63.6 63.6 -16.0 16.0 64 64 -16.1 16.1 64.4 64.4 -16.2 16.2 64.8 64.8 -16.3 16.3 65.2 65.2 -16.4 16.4 65.6 65.6 -16.5 16.5 66 66 -16.6 16.6 66.4 66.4 -16.7 16.7 66.8 66.8 -16.8 16.8 67.2 67.2 -16.9 16.9 67.6 67.6 -17.0 17.0 68 68 -17.1 17.1 68.4 68.4 -17.2 17.2 68.8 68.8 -17.3 17.3 69.2 69.2 -17.4 17.4 69.6 69.6 -17.5 17.5 70 70 -17.6 17.6 70.4 70.4 -17.7 17.7 70.8 70.8 -17.8 17.8 71.2 71.2 -17.9 17.9 71.6 71.6 -18.0 18.0 72 72 -18.1 18.1 72.4 72.4 -18.2 18.2 72.8 72.8 -18.3 18.3 73.2 73.2 -18.4 18.4 73.6 73.6 -18.5 18.5 74 74 -18.6 18.6 74.4 74.4 -18.7 18.7 74.8 74.8 -18.8 18.8 75.2 75.2 -18.9 18.9 75.6 75.6 -19.0 19.0 76 76 -19.1 19.1 76.4 76.4 -19.2 19.2 76.8 76.8 -19.3 19.3 77.2 77.2 -19.4 19.4 77.6 77.6 -19.5 19.5 78 78 -19.6 19.6 78.4 78.4 -19.7 19.7 78.8 78.8 -19.8 19.8 79.2 79.2 -19.9 19.9 79.6 79.6 -20.0 20.0 80 80 -20.1 20.1 80.4 80.4 -20.2 20.2 80.8 80.8 -20.3 20.3 81.2 81.2 -20.4 20.4 81.6 81.6 -20.5 20.5 82 82 -20.6 20.6 82.4 82.4 -20.7 20.7 82.8 82.8 -20.8 20.8 83.2 83.2 -20.9 20.9 83.6 83.6 -21.0 21.0 84 84 -21.1 21.1 84.4 84.4 -21.2 21.2 84.8 84.8 -21.3 21.3 85.2 85.2 -21.4 21.4 85.6 85.6 -21.5 21.5 86 86 -21.6 21.6 86.4 86.4 -21.7 21.7 86.8 86.8 -21.8 21.8 87.2 87.2 -21.9 21.9 87.6 87.6 -22.0 22.0 88 88 -22.1 22.1 88.4 88.4 -22.2 22.2 88.8 88.8 -22.3 22.3 89.2 89.2 -22.4 22.4 89.6 89.6 -22.5 22.5 90 90 -22.6 22.6 90.4 90.4 -22.7 22.7 90.8 90.8 -22.8 22.8 91.2 91.2 -22.9 22.9 91.6 91.6 -23.0 23.0 92 92 -23.1 23.1 92.4 92.4 -23.2 23.2 92.8 92.8 -23.3 23.3 93.2 93.2 -23.4 23.4 93.6 93.6 -23.5 23.5 94 94 -23.6 23.6 94.4 94.4 -23.7 23.7 94.8 94.8 -23.8 23.8 95.2 95.2 -23.9 23.9 95.6 95.6 -24.0 24.0 96 96 -24.1 24.1 96.4 96.4 -24.2 24.2 96.8 96.8 -24.3 24.3 97.2 97.2 -24.4 24.4 97.6 97.6 -24.5 24.5 98 98 -24.6 24.6 98.4 98.4 -24.7 24.7 98.8 98.8 -24.8 24.8 99.2 99.2 -24.9 24.9 99.6 99.6 -25.0 25.0 100 100 -25.1 25.1 100 100 -25.2 25.2 100 100 -25.3 25.3 100 100 -25.4 25.4 100 100 -25.5 25.5 100 100 -25.6 25.6 100 100 -25.7 25.7 100 100 -25.8 25.8 100 100 -25.9 25.9 100 100 -26.0 26.0 100 100 -26.1 26.1 100 100 -26.2 26.2 100 100 -26.3 26.3 100 100 -26.4 26.4 100 100 -26.5 26.5 100 100 -26.6 26.6 100 100 -26.7 26.7 100 100 -26.8 26.8 100 100 -26.9 26.9 100 100 -27.0 27.0 100 100 -27.1 27.1 100 100 -27.2 27.2 100 100 -27.3 27.3 100 100 -27.4 27.4 100 100 -27.5 27.5 100 100 -27.6 27.6 100 100 -27.7 27.7 100 100 -27.8 27.8 100 100 -27.9 27.9 100 100 -28.0 28.0 100 100 -28.1 28.1 100 100 -28.2 28.2 100 100 -28.3 28.3 100 100 -28.4 28.4 100 100 -28.5 28.5 100 100 -28.6 28.6 100 100 -28.7 28.7 100 100 -28.8 28.8 100 100 -28.9 28.9 100 100 -29.0 29.0 100 100 -29.1 29.1 100 100 -29.2 29.2 100 100 -29.3 29.3 100 100 -29.4 29.4 100 100 -29.5 29.5 100 100 -29.6 29.6 100 100 -29.7 29.7 100 100 -29.8 29.8 100 100 -29.9 29.9 100 100 -30.0 30.0 100 100 -30.1 30.1 100 100 -30.2 30.2 100 100 -30.3 30.3 100 100 -30.4 30.4 100 100 -30.5 30.5 100 100 -30.6 30.6 100 100 -30.7 30.7 100 100 -30.8 30.8 100 100 -30.9 30.9 100 100 -31.0 31.0 100 100 -31.1 31.1 100 100 -31.2 31.2 100 100 -31.3 31.3 100 100 -31.4 31.4 100 100 -31.5 31.5 100 100 -31.6 31.6 100 100 -31.7 31.7 100 100 -31.8 31.8 100 100 -31.9 31.9 100 100 -32.0 32.0 100 100 -32.1 32.1 100 100 -32.2 32.2 100 100 -32.3 32.3 100 100 -32.4 32.4 100 100 -32.5 32.5 100 100 -32.6 32.6 100 100 -32.7 32.7 100 100 -32.8 32.8 100 100 -32.9 32.9 100 100 -33.0 33.0 100 100 -33.1 33.1 100 100 -33.2 33.2 100 100 -33.3 33.3 100 100 -33.4 33.4 100 100 -33.5 33.5 100 100 -33.6 33.6 100 100 -33.7 33.7 100 100 -33.8 33.8 100 100 -33.9 33.9 100 100 -34.0 34.0 100 100 -34.1 34.1 100 100 -34.2 34.2 100 100 -34.3 34.3 100 100 -34.4 34.4 100 100 -34.5 34.5 100 100 -34.6 34.6 100 100 -34.7 34.7 100 100 -34.8 34.8 100 100 -34.9 34.9 100 100 -35.0 35.0 100 100 -35.1 35.1 100 100 -35.2 35.2 100 100 -35.3 35.3 100 100 -35.4 35.4 100 100 -35.5 35.5 100 100 -35.6 35.6 100 100 -35.7 35.7 100 100 -35.8 35.8 100 100 -35.9 35.9 100 100 -36.0 36.0 100 100 -36.1 36.1 100 100 -36.2 36.2 100 100 -36.3 36.3 100 100 -36.4 36.4 100 100 -36.5 36.5 100 100 -36.6 36.6 100 100 -36.7 36.7 100 100 -36.8 36.8 100 100 -36.9 36.9 100 100 -37.0 37.0 100 100 -37.1 37.1 100 100 -37.2 37.2 100 100 -37.3 37.3 100 100 -37.4 37.4 100 100 -37.5 37.5 100 100 -37.6 37.6 100 100 -37.7 37.7 100 100 -37.8 37.8 100 100 -37.9 37.9 100 100 -38.0 38.0 100 100 -38.1 38.1 100 100 -38.2 38.2 100 100 -38.3 38.3 100 100 -38.4 38.4 100 100 -38.5 38.5 100 100 -38.6 38.6 100 100 -38.7 38.7 100 100 -38.8 38.8 100 100 -38.9 38.9 100 100 -39.0 39.0 100 100 -39.1 39.1 100 100 -39.2 39.2 100 100 -39.3 39.3 100 100 -39.4 39.4 100 100 -39.5 39.5 100 100 -39.6 39.6 100 100 -39.7 39.7 100 100 -39.8 39.8 100 100 -39.9 39.9 100 100 -40.0 40.0 100 100 -40.1 40.1 100 100 -40.2 40.2 100 100 -40.3 40.3 100 100 -40.4 40.4 100 100 -40.5 40.5 100 100 -40.6 40.6 100 100 -40.7 40.7 100 100 -40.8 40.8 100 100 -40.9 40.9 100 100 -41.0 41.0 100 100 -41.1 41.1 100 100 -41.2 41.2 100 100 -41.3 41.3 100 100 -41.4 41.4 100 100 -41.5 41.5 100 100 -41.6 41.6 100 100 -41.7 41.7 100 100 -41.8 41.8 100 100 -41.9 41.9 100 100 -42.0 42.0 100 100 -42.1 42.1 100 100 -42.2 42.2 100 100 -42.3 42.3 100 100 -42.4 42.4 100 100 -42.5 42.5 100 100 -42.6 42.6 100 100 -42.7 42.7 100 100 -42.8 42.8 100 100 -42.9 42.9 100 100 -43.0 43.0 100 100 -43.1 43.1 100 100 -43.2 43.2 100 100 -43.3 43.3 100 100 -43.4 43.4 100 100 -43.5 43.5 100 100 -43.6 43.6 100 100 -43.7 43.7 100 100 -43.8 43.8 100 100 -43.9 43.9 100 100 -44.0 44.0 100 100 -44.1 44.1 100 100 -44.2 44.2 100 100 -44.3 44.3 100 100 -44.4 44.4 100 100 -44.5 44.5 100 100 -44.6 44.6 100 100 -44.7 44.7 100 100 -44.8 44.8 100 100 -44.9 44.9 100 100 -45.0 45.0 100 100 -45.1 45.1 100 100 -45.2 45.2 100 100 -45.3 45.3 100 100 -45.4 45.4 100 100 -45.5 45.5 100 100 -45.6 45.6 100 100 -45.7 45.7 100 100 -45.8 45.8 100 100 -45.9 45.9 100 100 -46.0 46.0 100 100 -46.1 46.1 100 100 -46.2 46.2 100 100 -46.3 46.3 100 100 -46.4 46.4 100 100 -46.5 46.5 100 100 -46.6 46.6 100 100 -46.7 46.7 100 100 -46.8 46.8 100 100 -46.9 46.9 100 100 -47.0 47.0 100 100 -47.1 47.1 100 100 -47.2 47.2 100 100 -47.3 47.3 100 100 -47.4 47.4 100 100 -47.5 47.5 100 100 -47.6 47.6 100 100 -47.7 47.7 100 100 -47.8 47.8 100 100 -47.9 47.9 100 100 -48.0 48.0 100 100 -48.1 48.1 100 100 -48.2 48.2 100 100 -48.3 48.3 100 100 -48.4 48.4 100 100 -48.5 48.5 100 100 -48.6 48.6 100 100 -48.7 48.7 100 100 -48.8 48.8 100 100 -48.9 48.9 100 100 -49.0 49.0 100 100 -49.1 49.1 100 100 -49.2 49.2 100 100 -49.3 49.3 100 100 -49.4 49.4 100 100 -49.5 49.5 100 100 -49.6 49.6 100 100 -49.7 49.7 100 100 -49.8 49.8 100 100 -49.9 49.9 100 100 -50.0 50.0 100 100 -50.1 50.1 100 100 -50.2 50.2 100 100 -50.3 50.3 100 100 -50.4 50.4 100 100 -50.5 50.5 100 100 -50.6 50.6 100 100 -50.7 50.7 100 100 -50.8 50.8 100 100 -50.9 50.9 100 100 -51.0 51.0 100 100 -51.1 51.1 100 100 -51.2 51.2 100 100 -51.3 51.3 100 100 -51.4 51.4 100 100 -51.5 51.5 100 100 -51.6 51.6 100 100 -51.7 51.7 100 100 -51.8 51.8 100 100 -51.9 51.9 100 100 -52.0 52.0 100 100 -52.1 52.1 100 100 -52.2 52.2 100 100 -52.3 52.3 100 100 -52.4 52.4 100 100 -52.5 52.5 100 100 -52.6 52.6 100 100 -52.7 52.7 100 100 -52.8 52.8 100 100 -52.9 52.9 100 100 -53.0 53.0 100 100 -53.1 53.1 100 100 -53.2 53.2 100 100 -53.3 53.3 100 100 -53.4 53.4 100 100 -53.5 53.5 100 100 -53.6 53.6 100 100 -53.7 53.7 100 100 -53.8 53.8 100 100 -53.9 53.9 100 100 -54.0 54.0 100 100 -54.1 54.1 100 100 -54.2 54.2 100 100 -54.3 54.3 100 100 -54.4 54.4 100 100 -54.5 54.5 100 100 -54.6 54.6 100 100 -54.7 54.7 100 100 -54.8 54.8 100 100 -54.9 54.9 100 100 -55.0 55.0 100 100 -55.1 55.1 100 100 -55.2 55.2 100 100 -55.3 55.3 100 100 -55.4 55.4 100 100 -55.5 55.5 100 100 -55.6 55.6 100 100 -55.7 55.7 100 100 -55.8 55.8 100 100 -55.9 55.9 100 100 -56.0 56.0 100 100 -56.1 56.1 100 100 -56.2 56.2 100 100 -56.3 56.3 100 100 -56.4 56.4 100 100 -56.5 56.5 100 100 -56.6 56.6 100 100 -56.7 56.7 100 100 -56.8 56.8 100 100 -56.9 56.9 100 100 -57.0 57.0 100 100 -57.1 57.1 100 100 -57.2 57.2 100 100 -57.3 57.3 100 100 -57.4 57.4 100 100 -57.5 57.5 100 100 -57.6 57.6 100 100 -57.7 57.7 100 100 -57.8 57.8 100 100 -57.9 57.9 100 100 -58.0 58.0 100 100 -58.1 58.1 100 100 -58.2 58.2 100 100 -58.3 58.3 100 100 -58.4 58.4 100 100 -58.5 58.5 100 100 -58.6 58.6 100 100 -58.7 58.7 100 100 -58.8 58.8 100 100 -58.9 58.9 100 100 -59.0 59.0 100 100 -59.1 59.1 100 100 -59.2 59.2 100 100 -59.3 59.3 100 100 -59.4 59.4 100 100 -59.5 59.5 100 100 -59.6 59.6 100 100 -59.7 59.7 100 100 -59.8 59.8 100 100 -59.9 59.9 100 100 -60.0 60.0 100 100 -60.1 60.1 100 100 -60.2 60.2 100 100 -60.3 60.3 100 100 -60.4 60.4 100 100 -60.5 60.5 100 100 -60.6 60.6 100 100 -60.7 60.7 100 100 -60.8 60.8 100 100 -60.9 60.9 100 100 -61.0 61.0 100 100 -61.1 61.1 100 100 -61.2 61.2 100 100 -61.3 61.3 100 100 -61.4 61.4 100 100 -61.5 61.5 100 100 -61.6 61.6 100 100 -61.7 61.7 100 100 -61.8 61.8 100 100 -61.9 61.9 100 100 -62.0 62.0 100 100 -62.1 62.1 100 100 -62.2 62.2 100 100 -62.3 62.3 100 100 -62.4 62.4 100 100 -62.5 62.5 100 100 -62.6 62.6 100 100 -62.7 62.7 100 100 -62.8 62.8 100 100 -62.9 62.9 100 100 -63.0 63.0 100 100 -63.1 63.1 100 100 -63.2 63.2 100 100 -63.3 63.3 100 100 -63.4 63.4 100 100 -63.5 63.5 100 100 -63.6 63.6 100 100 -63.7 63.7 100 100 -63.8 63.8 100 100 -63.9 63.9 100 100 -64.0 64.0 100 100 -64.1 64.1 100 100 -64.2 64.2 100 100 -64.3 64.3 100 100 -64.4 64.4 100 100 -64.5 64.5 100 100 -64.6 64.6 100 100 -64.7 64.7 100 100 -64.8 64.8 100 100 -64.9 64.9 100 100 -65.0 65.0 100 100 -65.1 65.1 100 100 -65.2 65.2 100 100 -65.3 65.3 100 100 -65.4 65.4 100 100 -65.5 65.5 100 100 -65.6 65.6 100 100 -65.7 65.7 100 100 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-99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/AnyChar.txt b/tests/resources/analysis_results/ref_reports/AnyChar.txt deleted file mode 100644 index 2974f958..00000000 --- a/tests/resources/analysis_results/ref_reports/AnyChar.txt +++ /dev/null @@ -1,830 +0,0 @@ -Tool Khiops -Version 10.0.6i -Short description -Logs -Data preparation -warning : Data table ./AnyChar.txt : Record 10 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 26 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 264 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 280 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 772 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 788 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 1026 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 1042 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 1296 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 1534 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 1550 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 1788 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 2042 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 2058 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 2312 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 2550 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 2566 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 2804 : Variable with value << >> : tabulation replaced by space char -warning : Data table ./AnyChar.txt : Record 2820 : Variable with value << >> : Ctrl-Z (ascii 26) replaced by space char -warning : Data table ./AnyChar.txt : Record 3058 : Variable with value << >> : tabulation replaced by space char -warning : Data table : ... - - -Report Preparation - -Dictionary AnyChar -Variables - Categorical 13 - Numerical 1 - Total 14 -Database ./AnyChar.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 3530 -Learning task Classification analysis -Target variable isalnum -Main target value 1 -Target descriptive stats - Values 2 - Mode 0 - Mode frequency 2663 -Target variable stats - 0 2663 - 1 867 -Evaluated variables 13 -Informative variables 13 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 8.16934 - Data cost 1963.67 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 Index Numerical 0.960544 7 254 1 255 128.2150142 73.50981088 0 3.2581 74.5699 0 -R02 Char Categorical 0.900678 2 249 92 3.2581 192.658 0 -R03 Categorical 0.899624 2 252 < > 47 3.2581 194.737 0 -R04 isgraph Categorical 0.573163 2 2 0 2231 3.2581 16.306 822.386 -R05 isprint Categorical 0.564336 2 2 0 2215 3.2581 16.3111 839.794 -R06 isascii Categorical 0.376102 2 2 0 1777 3.2581 16.3781 1211.02 -R07 isupper Categorical 0.301092 2 2 0 3154 3.2581 15.4142 1359.95 -R08 islower Categorical 0.281514 2 2 0 3175 3.2581 15.3636 1398.62 -R09 isxdigit Categorical 0.238119 2 2 0 3223 3.2581 15.2337 1484.34 -R10 isdigit Categorical 0.0966412 2 2 0 3394 3.2581 14.4753 1764.17 -R11 iscntrl Categorical 0.0625008 2 2 0 3092 3.2581 15.5466 1830.44 -R12 ispunct Categorical 0.0615072 2 2 0 3098 3.2581 15.5348 1832.42 -R13 isspace Categorical 0.00678074 2 2 0 3454 3.2581 13.9166 1941.98 - -Detailed variable statistics - -Rank R01 Index Numerical - -Data grid Supervised -Dimensions -Index Numerical Intervals - ]-inf;47.5] 1 47.5 - ]47.5;57.5] 47.5 57.5 - ]57.5;64.5] 57.5 64.5 - ]64.5;90.5] 64.5 90.5 - ]90.5;96.5] 90.5 96.5 - ]96.5;122.5] 96.5 122.5 - ]122.5;+inf[ 122.5 255 -isalnum Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;47.5] 638 0 0.0913781 -]47.5;57.5] 0 136 0.0970336 -]57.5;64.5] 100 0 0.0143226 -]64.5;90.5] 0 376 0.268269 -]90.5;96.5] 75 0 0.0107419 -]96.5;122.5] 0 355 0.253286 -]122.5;+inf[ 1850 0 0.264968 - -Rank R02 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {, , ”, ...}  ” Ù : § í  / € ‚ … ¡ ° ½ é ü ) * > ]  ‰ œ ª ± ² ¼ È É Ú ì ð ý     ; { ~ ‹ “ ¢ ¥ · ¹ À Ã Ê Ë Í Î Ó Ö ß ã ä å î ñ ø ù þ             ' + - < = } „ Š Ž • – — Ÿ ¨ ­ µ » Â Æ Ò × Ø à æ è ë ô    ! " & , [ ^ _ | ƒ † ˆ ‘ ’ ˜ š › ž   £ © ® ³ ¸ º Á Ä Ç Ñ Û Þ á ï õ ÷ ú û  $ % @ ‡ Œ ™ « ¬ ¯ ´ ¶ ¿ Ì Ï Ô Õ â ê ò ö ÿ  # ( . ? ¤ ¾ Ü ç   \ ` Ð Ý Å ó ¦ * - {a, 5, E, ...} a 5 E G N R d h s A F J L M Z g u v x 7 P U W Y j p w 0 2 3 6 9 C I f k m 4 B D K O Q X n q r S T b e y 1 H V i t z 8 c l o -isalnum Categorical Values - 0 - 1 -Cells -Value group 0 1 Interest -{, , ”, ...} 2663 0 0.381411 -{a, 5, E, ...} 0 867 0.618589 - -Input values - 92 -  19 - ” 19 - Ù 19 - : 18 - a 18 - § 18 - í 18 -  17 - / 17 - 5 17 - E 17 - G 17 - N 17 - R 17 - d 17 - h 17 - s 17 - € 17 - ‚ 17 - … 17 - ¡ 17 - ° 17 - ½ 17 - é 17 - ü 17 - ) 16 - * 16 - > 16 - A 16 - F 16 - J 16 - L 16 - M 16 - Z 16 - ] 16 - g 16 - u 16 - v 16 - x 16 -  16 - 16 - ‰ 16 - œ 16 - ª 16 - ± 16 - ² 16 - ¼ 16 - È 16 - É 16 - Ú 16 - ì 16 - ð 16 - ý 16 -  15 -  15 -  15 -  15 - 7 15 - ; 15 - P 15 - U 15 - W 15 - Y 15 - j 15 - p 15 - w 15 - { 15 - ~ 15 - ‹ 15 - 15 - “ 15 - 15 - ¢ 15 - ¥ 15 - · 15 - ¹ 15 - À 15 - à 15 - Ê 15 - Ë 15 - Í 15 - Î 15 - Ó 15 - Ö 15 - ß 15 - ã 15 - ä 15 - å 15 - î 15 - ñ 15 - ø 15 - ù 15 - þ 15 -  14 -  14 -  14 -  14 -  14 -  14 -  14 -  14 -  14 -  14 -  14 -  14 - ' 14 - + 14 - - 14 - 0 14 - 2 14 - 3 14 - 6 14 - 9 14 - < 14 - = 14 - C 14 - I 14 - f 14 - k 14 - m 14 - } 14 - „ 14 - Š 14 - Ž 14 - • 14 - – 14 - — 14 - Ÿ 14 - ¨ 14 - ­ 14 - µ 14 - » 14 -  14 - Æ 14 - Ò 14 - × 14 - Ø 14 - à 14 - æ 14 - è 14 - ë 14 - ô 14 -  13 -  13 -  13 - ! 13 - " 13 - & 13 - , 13 - 4 13 - B 13 - D 13 - K 13 - O 13 - Q 13 - X 13 - [ 13 - ^ 13 - _ 13 - n 13 - q 13 - r 13 - | 13 - ƒ 13 - † 13 - ˆ 13 - ‘ 13 - ’ 13 - ˜ 13 - š 13 - › 13 - ž 13 -   13 - £ 13 - © 13 - ® 13 - ³ 13 - ¸ 13 - º 13 - Á 13 - Ä 13 - Ç 13 - Ñ 13 - Û 13 - Þ 13 - á 13 - ï 13 - õ 13 - ÷ 13 - ú 13 - û 13 -  12 - $ 12 - % 12 - @ 12 - S 12 - T 12 - b 12 - e 12 - y 12 - ‡ 12 - Œ 12 - ™ 12 - « 12 - ¬ 12 - ¯ 12 - ´ 12 - ¶ 12 - ¿ 12 - Ì 12 - Ï 12 - Ô 12 - Õ 12 - â 12 - ê 12 - ò 12 - ö 12 - ÿ 12 -  11 - # 11 - ( 11 - . 11 - 1 11 - ? 11 - H 11 - V 11 - i 11 - t 11 - z 11 - 11 - ¤ 11 - ¾ 11 - Ü 11 - ç 11 -  10 -  10 - 8 10 - \ 10 - ` 10 - Ð 10 - Ý 10 - c 9 - l 9 - o 9 - 9 - Å 9 - ó 9 - ¦ 8 - -Rank R03 Categorical - -Data grid Supervised -Dimensions - Categorical Value groups - {< >, <>, <”>, ...} < > <> <”> <Ù> <:> <§> <í> <> <€> <‚> <…> <¡> <°> <½> <é> <ü> < > <)> <*> <>> <]> <> <> <‰> <œ> <ª> <±> <²> <¼> <È> <É> <Ú> <ì> <ð> <ý> <> <> <> < > <> <;> <{> <~> <‹> <> <“> <> <¢> <¥> <·> <¹> <À> <Ã> <Ê> <Ë> <Í> <Î> <Ó> <Ö> <ß> <ã> <ä> <å> <î> <ñ> <ø> <ù> <þ> <> <> <> <> < > <> <> <> <> <> <> <> <> <'> <+> <-> <<> <=> <}> <„> <Š> <Ž> <•> <–> <—> <Ÿ> <¨> <­> <µ> <»> <Â> <Æ> <Ò> <×> <Ø> <à> <æ> <è> <ë> <ô> <> <> <> <"> <&> <,> <[> <^> <_> <|> <ƒ> <†> <ˆ> <‘> <’> <˜> <š> <›> <ž> < > <£> <©> <®> <³> <¸> <º> <Á> <Ä> <Ç> <Ñ> <Û> <Þ> <á> <ï> <õ> <÷> <ú> <û> <> <$> <%> <@> <‡> <Œ> <™> <«> <¬> <¯> <´> <¶> <¿> <Ì> <Ï> <Ô> <Õ> <â> <ê> <ò> <ö> <ÿ> <> <#> <(> <.> <> <¤> <¾> <Ü> <ç> <> <> <\> <`> <Ð> <Ý> <> <Å> <ó> <¦> * - {, <5>, , ...} <5> <7>

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-Input values - 0 3454 - 1 76 diff --git a/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt b/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt deleted file mode 100644 index 27e01f38..00000000 --- a/tests/resources/analysis_results/ref_reports/Deft2017ChallengeNGrams1000.txt +++ /dev/null @@ -1,8211 +0,0 @@ -Tool Khiops -Version 10.3.3i -Short description - - -Report Preparation - -Dictionary Deft2017 -Variables - Categorical 2 - Text 1 - Total 3 -Database ../../../TextDatasets/Deft2017/Deft2017.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 2755 -Learning task Classification analysis -Target variable CLASS -Target descriptive stats - Values 4 - Mode objective - Mode frequency 1163 -Target variable stats - mixed 337 - negative 910 - objective 1163 - positive 345 -Evaluated variables 1 -Informative variables 0 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 21.9739 - Data cost 3424.3 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 ID Categorical 0 1 2755 ID0002 1 0.693147 21.9739 3424.3 - -Detailed variable statistics - - -Report Modeling - -Dictionary Deft2017 -Database ../../../TextDatasets/Deft2017/Deft2017.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable CLASS - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 54 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PTXT.3gram(htt) TXT.3gram(htt) 0.149605 0.34375 0.226775 -PTXT.3gram(ttp) TXT.3gram(ttp) 0.149602 0.25 0.193392 -PTXT.2gram(: ) TXT.2gram(: ) 0.0493003 0.4375 0.146863 -PTXT.2gram(#x) TXT.2gram(#x) 0.0350815 0.46875 0.128236 -PTXT.1gram(!) TXT.1gram(!) 0.0150068 0.84375 0.112525 -PTXT.1gram( ) TXT.1gram( ) 0.0367643 0.171875 0.0794913 -PTXT.3gram(via) TXT.3gram(via) 0.0264472 0.21875 0.0760613 -PTXT.2gram( m) TXT.2gram( m) 0.0155686 0.296875 0.0679848 -PTXT.2gram( -) TXT.2gram( -) 0.0162871 0.28125 0.0676812 -PTXT.2gram(tt) TXT.2gram(tt) 0.116974 0.0390625 0.0675966 -PTXT.3gram( pa) TXT.3gram( pa) 0.0156501 0.261719 0.0639994 -PTXT.1gram(') TXT.1gram(') 0.0140427 0.25 0.059251 -PTXT.2gram(t ) TXT.2gram(t ) 0.0157388 0.21875 0.058676 -PTXT.1gram(€) TXT.1gram(€) 0.0106858 0.265625 0.0532769 -PTXT.2gram( &) TXT.2gram( &) 0.0291665 0.09375 0.0522911 -PTXT.2gram(ar) TXT.2gram(ar) 0.0101514 0.25 0.0503771 -PTXT.2gram(y/) TXT.2gram(y/) 0.0179322 0.140625 0.0502167 -PTXT.1gram(Â) TXT.1gram(Â) 0.00840395 0.296875 0.0499492 -PTXT.2gram( c) TXT.2gram( c) 0.0133791 0.179688 0.0490312 -PTXT.5gram( http) TXT.5gram( http) 0.14902 0.015625 0.0482538 -PTXT.2gram( p) TXT.2gram( p) 0.0145528 0.15625 0.0476852 -PTXT.2gram( b) TXT.2gram( b) 0.00450917 0.484375 0.0467347 -PTXT.4gram(ande) TXT.4gram(ande) 0.00439718 0.421875 0.0430704 -PTXT.2gram( n) TXT.2gram( n) 0.0106979 0.171875 0.04288 -PTXT.2gram( j) TXT.2gram( j) 0.00735299 0.25 0.0428748 -PTXT.2gram(! ) TXT.2gram(! ) 0.0105128 0.171875 0.0425075 -PTXT.2gram( t) TXT.2gram( t) 0.0075452 0.21875 0.0406265 -PTXT.3gram(as ) TXT.3gram(as ) 0.0113994 0.125 0.0377482 -PTXT.1gram(s) TXT.1gram(s) 0.00799351 0.15625 0.035341 -PTXT.3gram(me ) TXT.3gram(me ) 0.00448778 0.25 0.0334954 -PTXT.2gram(Er) TXT.2gram(Er) 0.00280308 0.359375 0.0317389 -PTXT.3gram(e h) TXT.3gram(e h) 0.0107346 0.09375 0.0317233 -PTXT.1gram(u) TXT.1gram(u) 0.00391461 0.25 0.0312834 -PTXT.2gram( ) TXT.2gram( ) 0.0028466 0.34375 0.0312813 -PTXT.4gram(ais ) TXT.4gram(ais ) 0.00492255 0.185547 0.0302219 -PTXT.6gram(c'est ) TXT.6gram(c'est ) 0.00694626 0.109375 0.0275635 -PTXT.1gram(y) TXT.1gram(y) 0.0166635 0.0385742 0.0253531 -PTXT.3gram(ait) TXT.3gram(ait) 0.00250638 0.1875 0.0216782 -PTXT.3gram(ist) TXT.3gram(ist) 0.00104643 0.445313 0.0215868 -PTXT.4gram(Holl) TXT.4gram(Holl) 0.00301988 0.140625 0.0206076 -PTXT.4gram( pas) TXT.4gram( pas) 0.0129962 0.03125 0.0201527 -PTXT.7gram(ollande) TXT.7gram(ollande) 0.00316974 0.125 0.0199052 -PTXT.2gram(es) TXT.2gram(es) 0.00133323 0.25 0.0182567 -PTXT.3gram(Syr) TXT.3gram(Syr) 0.00588518 0.046875 0.0166093 -PTXT.1gram(,) TXT.1gram(,) 0.00135293 0.1875 0.0159272 -PTXT.2gram( @) TXT.2gram( @) 0.00243719 0.0927734 0.0150369 -PTXT.3gram(ant) TXT.3gram(ant) 0.00165405 0.125 0.014379 -PTXT.3gram(ark) TXT.3gram(ark) 0.000807727 0.226563 0.0135278 -PTXT.1gram(x) TXT.1gram(x) 0.00386012 0.03125 0.0109831 -PTXT.3gram( tr) TXT.3gram( tr) 0.000758481 0.15625 0.0108864 -PTXT.6gram(Hollan) TXT.6gram(Hollan) 0.00301766 0.03125 0.00971091 -PTXT.2gram(uc) TXT.2gram(uc) 0.000597689 0.109375 0.00808531 -PTXT.3gram(nd ) TXT.3gram(nd ) 0.000187545 0.25 0.00684734 -PTXT.1gram(?) TXT.1gram(?) 4.53161e-05 0.453125 0.00453143 - - -Report Evaluation Train - -Dictionary Deft2017 -Database ../../../TextDatasets/Deft2017/Deft2017.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 2755 -Learning task Classification analysis -Target variable CLASS - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.648276 0.29205 0.839254 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - mixed negative objective positive -$mixed 0 0 0 0 -$negative 232 685 204 145 -$objective 64 181 938 37 -$positive 41 44 21 163 - -Lift curves mixed -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.817507 0.593472 -0.2 0.2 1.63501 0.890208 -0.3 0.3 2.45252 0.968843 -0.4 0.4 3.27003 1.48368 -0.5 0.5 4.08754 1.78042 -0.6 0.6 4.90504 1.93769 -0.7 0.7 5.72255 2.07715 -0.8 0.8 6.54006 2.38576 -0.9 0.9 7.35757 2.96736 -1.0 1.0 8.17507 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-99.3 99.3 100 100 -99.4 99.4 100 100 -99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 - - -Report Evaluation Test - -Dictionary Deft2017 -Database ../../../TextDatasets/Deft2017/Deft2017.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 1151 -Learning task Classification analysis -Target variable CLASS - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.628149 0.254932 0.821357 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - mixed negative objective positive -$mixed 0 0 0 0 -$negative 105 268 75 61 -$objective 42 72 391 24 -$positive 17 18 14 64 - -Lift curves mixed -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.701829 0.701829 -0.2 0.2 1.40366 1.21951 -0.3 0.3 2.10549 1.21951 -0.4 0.4 2.80732 1.21951 -0.5 0.5 3.50915 1.67988 -0.6 0.6 4.21098 1.82927 -0.7 0.7 4.9128 2.43902 -0.8 0.8 5.61463 2.43902 -0.9 0.9 6.31646 2.43902 -1.0 1.0 7.01829 2.75 -1.1 1.1 7.72012 3.04878 -1.2 1.2 8.42195 3.04878 -1.3 1.3 9.12378 3.04878 -1.4 1.4 9.82561 3.11829 -1.5 1.5 10.5274 3.65854 -1.6 1.6 11.2293 3.65854 -1.7 1.7 11.9311 3.65854 -1.8 1.8 12.6329 4.09634 -1.9 1.9 13.3348 4.79817 -2.0 2.0 14.0366 4.87805 -2.1 2.1 14.7384 4.98232 -2.2 2.2 15.4402 5.4878 -2.3 2.3 16.1421 5.4878 -2.4 2.4 16.8439 5.4878 -2.5 2.5 17.5457 5.96037 -2.6 2.6 18.2476 6.09756 -2.7 2.7 18.9494 6.09756 -2.8 2.8 19.6512 6.23659 -2.9 2.9 20.353 6.70732 -3.0 3.0 21.0549 6.70732 -3.1 3.1 21.7567 6.70732 -3.2 3.2 22.4585 6.70732 -3.3 3.3 23.1604 6.70732 -3.4 3.4 23.8622 6.70732 -3.5 3.5 24.564 6.70732 -3.6 3.6 25.2659 6.70732 -3.7 3.7 25.9677 6.70732 -3.8 3.8 26.6695 6.70732 -3.9 3.9 27.3713 6.70732 -4.0 4.0 28.0732 6.70732 -4.1 4.1 28.775 6.70732 -4.2 4.2 29.4768 6.70732 -4.3 4.3 30.1787 6.70732 -4.4 4.4 30.8805 6.70732 -4.5 4.5 31.5823 6.70732 -4.6 4.6 32.2841 6.70732 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61.0591 15.2439 -8.8 8.8 61.761 15.2439 -8.9 8.9 62.4628 15.2439 -9.0 9.0 63.1646 15.2439 -9.1 9.1 63.8665 15.6957 -9.2 9.2 64.5683 15.8537 -9.3 9.3 65.2701 15.8537 -9.4 9.4 65.972 15.8537 -9.5 9.5 66.6738 15.8537 -9.6 9.6 67.3756 15.8537 -9.7 9.7 68.0774 16.2482 -9.8 9.8 68.7793 16.4634 -9.9 9.9 69.4811 16.4634 -10.0 10.0 70.1829 17.0732 -10.1 10.1 70.8848 17.0732 -10.2 10.2 71.5866 17.0732 -10.3 10.3 72.2884 17.0732 -10.4 10.4 72.9902 17.0732 -10.5 10.5 73.6921 17.0732 -10.6 10.6 74.3939 17.0732 -10.7 10.7 75.0957 17.0732 -10.8 10.8 75.7976 17.0732 -10.9 10.9 76.4994 17.0732 -11.0 11.0 77.2012 17.0732 -11.1 11.1 77.903 17.5372 -11.2 11.2 78.6049 18.239 -11.3 11.3 79.3067 18.9409 -11.4 11.4 80.0085 19.6427 -11.5 11.5 80.7104 20.122 -11.6 11.6 81.4122 20.122 -11.7 11.7 82.114 20.5287 -11.8 11.8 82.8159 20.7317 -11.9 11.9 83.5177 21.3226 -12.0 12.0 84.2195 21.3415 -12.1 12.1 84.9213 21.3415 -12.2 12.2 85.6232 21.3415 -12.3 12.3 86.325 21.6909 -12.4 12.4 87.0268 21.9512 -12.5 12.5 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-99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt b/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt deleted file mode 100644 index d0cdda9c..00000000 --- a/tests/resources/analysis_results/ref_reports/EmptyDatabase.txt +++ /dev/null @@ -1,28 +0,0 @@ -Tool Khiops -Version 10.0.6i -Short description -Logs -Modeling -warning : No training: database is empty - - -Report Preparation - -Dictionary Database -Variables - Categorical 1 - Numerical 7 - Total 8 -Database ./../Standard/DatabaseEmpty.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 0 -Learning task Classification analysis -Target variable Class -Target descriptive stats - Values 0 - Mode - Mode frequency 0 -Target variable stats diff --git a/tests/resources/analysis_results/ref_reports/Greek.txt b/tests/resources/analysis_results/ref_reports/Greek.txt deleted file mode 100644 index a324c154..00000000 --- a/tests/resources/analysis_results/ref_reports/Greek.txt +++ /dev/null @@ -1,2120 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary MultipleEncodings -Variables - Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Greek -Selection value 1 -Instances 20 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 2 - Mode ASCII - Mode frequency 10 -Target variable stats - ASCII 10 - UTF8 Greek 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 3.04452 - Data cost 12.1268 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.569655 2 2 10 0.693147 6.13404 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<θ>} <θ> * -Type Categorical Values - ASCII - UTF8 Greek -Cells -Value group ASCII UTF8 Greek Interest -{} 10 0 0.5 -{<θ>} 0 10 0.5 - -Input values - 10 - <θ> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Greek -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.569655 1 0.754755 - - 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-98.2 98.2 100 100 -98.3 98.3 100 100 -98.4 98.4 100 100 -98.5 98.5 100 100 -98.6 98.6 100 100 -98.7 98.7 100 100 -98.8 98.8 100 100 -98.9 98.9 100 100 -99.0 99.0 100 100 -99.1 99.1 100 100 -99.2 99.2 100 100 -99.3 99.3 100 100 -99.4 99.4 100 100 -99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/Iris2D.txt b/tests/resources/analysis_results/ref_reports/Iris2D.txt deleted file mode 100644 index 21792106..00000000 --- a/tests/resources/analysis_results/ref_reports/Iris2D.txt +++ /dev/null @@ -1,6847 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class -Main target value Iris-setosa -Target descriptive stats - Values 3 - Mode Iris-versicolor - Mode frequency 37 -Target variable stats - Iris-setosa 31 - Iris-versicolor 37 - Iris-virginica 31 -Evaluated variables 11 -Informative variables 9 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 100 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 8.52714 - Data cost 103.619 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 SPetalLength Categorical 0.640044 3 5 4 32 3.17805 27.4826 9.95655 AsCategorical(Floor(PetalLength)) -R02 PetalLength Numerical 0.634896 3 36 1 6.9 3.801010101 1.712137004 0 3.17805 28.0635 9.95655 -R03 PetalWidth Numerical 0.616721 3 20 0.1 2.5 1.218181818 0.749863777 0 3.17805 30.1144 9.95655 -R04 Class2 Categorical 0.473086 2 2 62 3.17805 15.5969 40.6817 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R05 LowerPetalLength Numerical 0.446496 2 9 1 3 2.517171717 0.7226550938 0 3.17805 14.7454 44.5336 If(LE(PetalLength, 3), PetalLength, 3) -R06 Class1 Categorical 0.440354 2 2 68 3.17805 15.4385 44.5336 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R07 UpperPetalWidth Numerical 0.306127 2 11 1.5 2.5 1.681818182 0.2962266524 0 3.17805 14.8064 60.3118 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) -R08 SepalLength Numerical 0.280329 3 30 4.3 7.7 5.848484848 0.8065844732 0 3.17805 27.4942 50.535 -R09 SepalWidth Numerical 0.111796 2 22 2 4.4 3.042424242 0.4422374035 0 3.17805 16.7264 80.32 -R10 Dummy1 Numerical 0 1 1 0 0 0 0 0 0.693147 8.52714 103.619 Copy(0) -R11 Dummy2 Numerical 0 1 99 0.01372010867 0.9853969761 0.5371015665 0.2836682962 0 0.693147 8.52714 103.619 Random() - -Detailed variable statistics - -Rank R01 SPetalLength Categorical - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 36 2 0.311045 -{1} 31 0 0 0.374224 -{5, 6} 0 1 29 0.314731 - -Input values - 4 32 - 1 31 - 5 24 - 3 6 - 6 6 - -Rank R02 PetalLength Numerical - -Data grid Supervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.95] 2.4 4.95 - ]4.95;+inf[ 4.95 6.9 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.4] 31 0 0 0.374224 -]2.4;4.95] 0 36 2 0.311045 -]4.95;+inf[ 0 1 29 0.314731 - -Rank R03 PetalWidth Numerical - -Data grid Supervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.75] 0.7 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;0.7] 31 0 0 0.374224 -]0.7;1.75] 0 36 2 0.311045 -]1.75;+inf[ 0 1 29 0.314731 - -Rank R04 Class2 Categorical - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{} 31 0 31 0.443449 -{versicolor} 0 37 0 0.556551 - -Input values - 62 - versicolor 37 - -Rank R05 LowerPetalLength Numerical - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.4] 31 0 0 0.584937 -]2.4;+inf[ 0 37 31 0.415063 - -Rank R06 Class1 Categorical - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{} 0 37 31 0.415063 -{setosa} 31 0 0 0.584937 - -Input values - 68 - setosa 31 - -Rank R07 UpperPetalWidth Numerical - -Data grid Supervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;1.55] 31 33 2 0.407767 -]1.55;+inf[ 0 4 29 0.592233 - -Rank R08 SepalLength Numerical - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.75] 5.45 5.75 - ]5.75;+inf[ 5.75 7.7 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;5.45] 28 3 0 0.493633 -]5.45;5.75] 3 12 1 0.100396 -]5.75;+inf[ 0 22 30 0.405971 - -Rank R09 SepalWidth Numerical - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;3.35] 11 36 29 0.268778 -]3.35;+inf[ 20 1 2 0.731222 - - -Report Bivariate preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class -Main target value Iris-setosa -Target descriptive stats - Values 3 - Mode Iris-versicolor - Mode frequency 37 -Target variable stats - Iris-setosa 31 - Iris-versicolor 37 - Iris-virginica 31 -Evaluated variable pairs 45 -Informative variable pairs 0 - -Variable pair statistics -Rank Name 1 Name 2 DeltaLevel Level Level 1 Level 2 Variables Parts 1 Parts 2 Cells Construction cost Preparation cost Data cost -R01 Class1 Dummy2 -0.0305789 0.409775 0.440354 0 1 2 1 2 6.62856 15.4385 44.5336 -R02 Class2 Dummy2 -0.0305789 0.442507 0.473086 0 1 2 1 2 6.62856 15.5969 40.6817 -R03 Dummy2 LowerPetalLength -0.0305789 0.415917 0 0.446496 1 1 2 2 6.62856 14.7454 44.5336 -R04 Dummy2 PetalLength -0.0305789 0.604317 0 0.634896 1 1 3 3 6.62856 28.0635 9.95655 -R05 Dummy2 PetalWidth -0.0305789 0.586142 0 0.616721 1 1 3 3 6.62856 30.1144 9.95655 -R06 Dummy2 SPetalLength -0.0305789 0.609466 0 0.640044 1 1 3 3 6.62856 27.4826 9.95655 -R07 Dummy2 SepalLength -0.0305789 0.24975 0 0.280329 1 1 3 3 6.62856 27.4942 50.535 -R08 Dummy2 SepalWidth -0.0305789 0.0812168 0 0.111796 1 1 2 2 6.62856 16.7264 80.32 -R09 Dummy2 UpperPetalWidth -0.0305789 0.275548 0 0.306127 1 1 2 2 6.62856 14.8064 60.3118 -R10 SepalWidth UpperPetalWidth -0.0544221 0.3635 0.111796 0.306127 2 2 2 4 9.02645 23.4811 39.3147 -R11 Class2 SepalLength -0.0807967 0.672619 0.473086 0.280329 2 2 2 4 9.02645 24.4493 3.46574 -R12 SepalLength SepalWidth -0.0883182 0.303807 0.280329 0.111796 2 2 2 4 9.02645 23.7538 45.7778 -R13 Class2 SepalWidth -0.114582 0.4703 0.473086 0.111796 2 2 2 4 9.02645 23.7409 27.0037 -R14 Class2 UpperPetalWidth -0.118658 0.660555 0.473086 0.306127 2 2 2 4 9.02645 23.0072 6.2691 -R15 Class1 SepalWidth -0.142375 0.409775 0.440354 0.111796 1 2 1 2 6.62856 15.4385 44.5336 -R16 LowerPetalLength SepalWidth -0.142375 0.415917 0.446496 0.111796 1 2 1 2 6.62856 14.7454 44.5336 -R17 PetalWidth SepalWidth -0.142375 0.586142 0.616721 0.111796 1 3 1 3 6.62856 30.1144 9.95655 -R18 SPetalLength SepalWidth -0.142375 0.609466 0.640044 0.111796 1 3 1 3 6.62856 27.4826 9.95655 -R19 PetalLength SepalWidth -0.149613 0.597079 0.634896 0.111796 1 3 1 3 6.62856 30.14 8.69684 -R20 Class1 UpperPetalWidth -0.15922 0.58726 0.440354 0.306127 2 2 2 3 9.02645 20.5389 17.0079 -R21 LowerPetalLength UpperPetalWidth -0.15922 0.593403 0.446496 0.306127 2 2 2 3 9.02645 19.8458 17.0079 -R22 SepalLength UpperPetalWidth -0.179284 0.407172 0.280329 0.306127 2 2 2 3 9.02645 30.6272 27.2407 -R23 Class2 LowerPetalLength -0.181482 0.7381 0.473086 0.446496 2 2 2 3 9.02645 20.5262 0 -R24 Class1 Class2 -0.211405 0.702035 0.440354 0.473086 2 2 2 3 9.02645 24.5957 0 -R25 Class1 SepalLength -0.296511 0.424172 0.440354 0.280329 2 2 2 3 9.02645 19.9456 36.004 -R26 LowerPetalLength SepalLength -0.296511 0.430315 0.446496 0.280329 2 2 2 3 9.02645 19.2525 36.004 -R27 PetalWidth SepalLength -0.310908 0.586142 0.616721 0.280329 1 3 1 3 6.62856 30.1144 9.95655 -R28 SPetalLength SepalLength -0.310908 0.609466 0.640044 0.280329 1 3 1 3 6.62856 27.4826 9.95655 -R29 PetalLength SepalLength -0.318146 0.597079 0.634896 0.280329 1 3 1 3 6.62856 30.14 8.69684 -R30 PetalWidth UpperPetalWidth -0.336705 0.586142 0.616721 0.306127 1 3 1 3 6.62856 30.1144 9.95655 -R31 SPetalLength UpperPetalWidth -0.336705 0.609466 0.640044 0.306127 1 3 1 3 6.62856 27.4826 9.95655 -R32 PetalLength UpperPetalWidth -0.343944 0.597079 0.634896 0.306127 1 3 1 3 6.62856 30.14 8.69684 -R33 Class2 PetalWidth -0.386943 0.702864 0.473086 0.616721 2 2 2 4 9.02645 24.5023 0 -R34 Class2 PetalLength -0.405208 0.702775 0.473086 0.634896 2 2 2 4 9.02645 24.5123 0 -R35 Class2 SPetalLength -0.434905 0.678226 0.473086 0.640044 2 2 2 3 9.02645 27.2824 0 -R36 Class1 PetalLength -0.459349 0.6159 0.440354 0.634896 2 2 2 3 9.02645 22.7896 11.5255 -R37 Class1 LowerPetalLength -0.470932 0.415917 0.440354 0.446496 1 1 2 2 6.62856 14.7454 44.5336 -R38 LowerPetalLength PetalLength -0.473842 0.607551 0.446496 0.634896 2 2 2 3 9.02645 23.7317 11.5255 -R39 LowerPetalLength PetalWidth -0.477075 0.586142 0.446496 0.616721 1 1 3 3 6.62856 30.1144 9.95655 -R40 LowerPetalLength SPetalLength -0.477075 0.609466 0.446496 0.640044 1 1 3 3 6.62856 27.4826 9.95655 -R41 Class1 SPetalLength -0.477398 0.603 0.440354 0.640044 1 1 3 3 6.62856 28.2121 9.95655 -R42 Class1 PetalWidth -0.480807 0.576267 0.440354 0.616721 2 2 2 3 9.02645 28.8308 9.95655 -R43 PetalWidth SPetalLength -0.6473 0.609466 0.616721 0.640044 1 1 3 3 6.62856 27.4826 9.95655 -R44 PetalLength PetalWidth -0.654538 0.597079 0.634896 0.616721 1 3 1 3 6.62856 30.14 8.69684 -R45 PetalLength SPetalLength -0.668776 0.606164 0.634896 0.640044 2 2 2 3 9.02645 23.8882 11.5255 - -Detailed variable pair statistics - -Rank R10 - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;3.05] 2 3.05 - ]3.05;+inf[ 3.05 4.4 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id SepalWidth UpperPetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;3.05] ]-inf;1.55] 6 29 2 0.225374 -C2 ]3.05;+inf[ ]-inf;1.55] 25 4 0 0.343006 -C3 ]-inf;3.05] ]1.55;+inf[ 0 1 20 0.324608 -C4 ]3.05;+inf[ ]1.55;+inf[ 0 3 9 0.107012 - -Rank R11 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -SepalLength Numerical Intervals - ]-inf;5.75] 4.3 5.75 - ]5.75;+inf[ 5.75 7.7 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 SepalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;5.75] 31 0 1 0.314618 -C2 {versicolor} ]-inf;5.75] 0 15 0 0.142013 -C3 {} ]5.75;+inf[ 0 0 30 0.335085 -C4 {versicolor} ]5.75;+inf[ 0 22 0 0.208285 - -Rank R12 - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.75] 4.3 5.75 - ]5.75;+inf[ 5.75 7.7 -SepalWidth Numerical Intervals - ]-inf;3.05] 2 3.05 - ]3.05;+inf[ 3.05 4.4 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id SepalLength SepalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;5.75] ]-inf;3.05] 6 15 1 0.111064 -C2 ]5.75;+inf[ ]-inf;3.05] 0 15 21 0.260759 -C3 ]-inf;5.75] ]3.05;+inf[ 25 0 0 0.515069 -C4 ]5.75;+inf[ ]3.05;+inf[ 0 7 9 0.113109 - -Rank R13 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 SepalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;3.35] 11 0 29 0.293163 -C2 {versicolor} ]-inf;3.35] 0 36 0 0.453219 -C3 {} ]3.35;+inf[ 20 0 2 0.241029 -C4 {versicolor} ]3.35;+inf[ 0 1 0 0.0125894 - -Rank R14 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 UpperPetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;1.55] 31 0 2 0.305099 -C2 {versicolor} ]-inf;1.55] 0 33 0 0.322015 -C3 {} ]1.55;+inf[ 0 0 29 0.333855 -C4 {versicolor} ]1.55;+inf[ 0 4 0 0.0390321 - -Rank R20 - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class1 UpperPetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;1.55] 0 33 2 0.306429 -C2 {setosa} ]-inf;1.55] 31 0 0 0.406488 -C3 {} ]1.55;+inf[ 0 4 29 0.287083 - -Rank R21 - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id LowerPetalLength UpperPetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;2.4] ]-inf;1.55] 31 0 0 0.406488 -C2 ]2.4;+inf[ ]-inf;1.55] 0 33 2 0.306429 -C4 ]2.4;+inf[ ]1.55;+inf[ 0 4 29 0.287083 - -Rank R22 - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;+inf[ 5.45 7.7 -UpperPetalWidth Numerical Intervals - ]-inf;1.75] 1.5 1.75 - ]1.75;+inf[ 1.75 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id SepalLength UpperPetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;5.45] ]-inf;1.75] 28 3 0 0.336934 -C2 ]5.45;+inf[ ]-inf;1.75] 3 33 2 0.264762 -C4 ]5.45;+inf[ ]1.75;+inf[ 0 1 29 0.398305 - -Rank R23 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 LowerPetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;2.4] 31 0 0 0.332041 -C3 {} ]2.4;+inf[ 0 0 31 0.332041 -C4 {versicolor} ]2.4;+inf[ 0 37 0 0.335918 - -Rank R24 - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class1 Class2 Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} {} 0 0 31 0.332041 -C2 {setosa} {} 31 0 0 0.332041 -C3 {} {versicolor} 0 37 0 0.335918 - -Rank R25 - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SepalLength Numerical Intervals - ]-inf;5.75] 4.3 5.75 - ]5.75;+inf[ 5.75 7.7 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class1 SepalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;5.75] 0 15 1 0.175962 -C2 {setosa} ]-inf;5.75] 31 0 0 0.519866 -C3 {} ]5.75;+inf[ 0 22 30 0.304172 - -Rank R26 - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SepalLength Numerical Intervals - ]-inf;5.75] 4.3 5.75 - ]5.75;+inf[ 5.75 7.7 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id LowerPetalLength SepalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;2.4] ]-inf;5.75] 31 0 0 0.519866 -C2 ]2.4;+inf[ ]-inf;5.75] 0 15 1 0.175962 -C4 ]2.4;+inf[ ]5.75;+inf[ 0 22 30 0.304172 - -Rank R33 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalWidth Numerical Intervals - ]-inf;1.35] 0.1 1.35 - ]1.35;+inf[ 1.35 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 PetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;1.35] 31 0 0 0.332041 -C2 {versicolor} ]-inf;1.35] 0 20 0 0.181578 -C3 {} ]1.35;+inf[ 0 0 31 0.332041 -C4 {versicolor} ]1.35;+inf[ 0 17 0 0.154341 - -Rank R34 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalLength Numerical Intervals - ]-inf;4.35] 1 4.35 - ]4.35;+inf[ 4.35 6.9 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 PetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;4.35] 31 0 0 0.332041 -C2 {versicolor} ]-inf;4.35] 0 18 0 0.16342 -C3 {} ]4.35;+inf[ 0 0 31 0.332041 -C4 {versicolor} ]4.35;+inf[ 0 19 0 0.172499 - -Rank R35 - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -SPetalLength Categorical Value groups - {4, 5, 3, ...} 4 5 3 6 * - {1} 1 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class2 SPetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} {4, 5, 3, ...} 0 0 31 0.332041 -C2 {versicolor} {4, 5, 3, ...} 0 37 0 0.335918 -C3 {} {1} 31 0 0 0.332041 - -Rank R36 - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalLength Numerical Intervals - ]-inf;5.05] 1 5.05 - ]5.05;+inf[ 5.05 6.9 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class1 PetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;5.05] 0 37 4 0.293318 -C2 {setosa} ]-inf;5.05] 31 0 0 0.37771 -C3 {} ]5.05;+inf[ 0 0 27 0.328973 - -Rank R38 - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -PetalLength Numerical Intervals - ]-inf;5.05] 1 5.05 - ]5.05;+inf[ 5.05 6.9 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id LowerPetalLength PetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;2.4] ]-inf;5.05] 31 0 0 0.37771 -C2 ]2.4;+inf[ ]-inf;5.05] 0 37 4 0.293318 -C4 ]2.4;+inf[ ]5.05;+inf[ 0 0 27 0.328973 - -Rank R42 - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalWidth Numerical Intervals - ]-inf;1.75] 0.1 1.75 - ]1.75;+inf[ 1.75 2.5 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id Class1 PetalWidth Iris-setosa Iris-versicolor Iris-virginica Interest -C1 {} ]-inf;1.75] 0 36 2 0.311045 -C2 {setosa} ]-inf;1.75] 31 0 0 0.374224 -C3 {} ]1.75;+inf[ 0 1 29 0.314731 - -Rank R45 - -Data grid Supervised -Dimensions -PetalLength Numerical Intervals - ]-inf;5.05] 1 5.05 - ]5.05;+inf[ 5.05 6.9 -SPetalLength Categorical Value groups - {4, 5} 4 5 * - {1} 1 -Target Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Cell id PetalLength SPetalLength Iris-setosa Iris-versicolor Iris-virginica Interest -C1 ]-inf;5.05] {4, 5} 0 37 4 0.293318 -C2 ]5.05;+inf[ {4, 5} 0 0 27 0.328973 -C3 ]-inf;5.05] {1} 31 0 0 0.37771 - - -Report Modeling - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable Class -Main target value Iris-setosa - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 4 -R2 Classifier Univariate Univariate SPetalLength 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PClass2 Class2 0.473086 0.507812 0.490142 -PPetalLength PetalLength 0.634896 0.164062 0.322742 -PClass1 Class1 0.440354 0.210938 0.304774 -PLowerPetalLength LowerPetalLength 0.446496 0.171875 0.277023 - - -Report Evaluation Train - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class -Main target value Iris-setosa - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.98326 1 -R2 Classifier Univariate Univariate SPetalLength 0.969697 0.884895 0.983648 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 37 0 -$Iris-virginica 0 0 31 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 36 2 -$Iris-virginica 0 1 29 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 36 2 0.311045 -{1} 31 0 0 0.374224 -{5, 6} 0 1 29 0.314731 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.319355 0.319355 0.319355 -0.2 0.2 0.63871 0.63871 0.63871 -0.3 0.3 0.958065 0.958065 0.958065 -0.4 0.4 1.27742 1.27742 1.27742 -0.5 0.5 1.59677 1.59677 1.59677 -0.6 0.6 1.91613 1.91613 1.91613 -0.7 0.7 2.23548 2.23548 2.23548 -0.8 0.8 2.55484 2.55484 2.55484 -0.9 0.9 2.87419 2.87419 2.87419 -1.0 1.0 3.19355 3.19355 3.19355 -1.1 1.1 3.5129 3.5129 3.5129 -1.2 1.2 3.83226 3.83226 3.83226 -1.3 1.3 4.15161 4.15161 4.15161 -1.4 1.4 4.47097 4.47097 4.47097 -1.5 1.5 4.79032 4.79032 4.79032 -1.6 1.6 5.10968 5.10968 5.10968 -1.7 1.7 5.42903 5.42903 5.42903 -1.8 1.8 5.74839 5.74839 5.74839 -1.9 1.9 6.06774 6.06774 6.06774 -2.0 2.0 6.3871 6.3871 6.3871 -2.1 2.1 6.70645 6.70645 6.70645 -2.2 2.2 7.02581 7.02581 7.02581 -2.3 2.3 7.34516 7.34516 7.34516 -2.4 2.4 7.66452 7.66452 7.66452 -2.5 2.5 7.98387 7.98387 7.98387 -2.6 2.6 8.30323 8.30323 8.30323 -2.7 2.7 8.62258 8.62258 8.62258 -2.8 2.8 8.94194 8.94194 8.94194 -2.9 2.9 9.26129 9.26129 9.26129 -3.0 3.0 9.58065 9.58065 9.58065 -3.1 3.1 9.9 9.9 9.9 -3.2 3.2 10.2194 10.2194 10.2194 -3.3 3.3 10.5387 10.5387 10.5387 -3.4 3.4 10.8581 10.8581 10.8581 -3.5 3.5 11.1774 11.1774 11.1774 -3.6 3.6 11.4968 11.4968 11.4968 -3.7 3.7 11.8161 11.8161 11.8161 -3.8 3.8 12.1355 12.1355 12.1355 -3.9 3.9 12.4548 12.4548 12.4548 -4.0 4.0 12.7742 12.7742 12.7742 -4.1 4.1 13.0935 13.0935 13.0935 -4.2 4.2 13.4129 13.4129 13.4129 -4.3 4.3 13.7323 13.7323 13.7323 -4.4 4.4 14.0516 14.0516 14.0516 -4.5 4.5 14.371 14.371 14.371 -4.6 4.6 14.6903 14.6903 14.6903 -4.7 4.7 15.0097 15.0097 15.0097 -4.8 4.8 15.329 15.329 15.329 -4.9 4.9 15.6484 15.6484 15.6484 -5.0 5.0 15.9677 15.9677 15.9677 -5.1 5.1 16.2871 16.2871 16.2871 -5.2 5.2 16.6065 16.6065 16.6065 -5.3 5.3 16.9258 16.9258 16.9258 -5.4 5.4 17.2452 17.2452 17.2452 -5.5 5.5 17.5645 17.5645 17.5645 -5.6 5.6 17.8839 17.8839 17.8839 -5.7 5.7 18.2032 18.2032 18.2032 -5.8 5.8 18.5226 18.5226 18.5226 -5.9 5.9 18.8419 18.8419 18.8419 -6.0 6.0 19.1613 19.1613 19.1613 -6.1 6.1 19.4806 19.4806 19.4806 -6.2 6.2 19.8 19.8 19.8 -6.3 6.3 20.1194 20.1194 20.1194 -6.4 6.4 20.4387 20.4387 20.4387 -6.5 6.5 20.7581 20.7581 20.7581 -6.6 6.6 21.0774 21.0774 21.0774 -6.7 6.7 21.3968 21.3968 21.3968 -6.8 6.8 21.7161 21.7161 21.7161 -6.9 6.9 22.0355 22.0355 22.0355 -7.0 7.0 22.3548 22.3548 22.3548 -7.1 7.1 22.6742 22.6742 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100 100 100 -97.4 97.4 100 100 100 -97.5 97.5 100 100 100 -97.6 97.6 100 100 100 -97.7 97.7 100 100 100 -97.8 97.8 100 100 100 -97.9 97.9 100 100 100 -98.0 98.0 100 100 100 -98.1 98.1 100 100 100 -98.2 98.2 100 100 100 -98.3 98.3 100 100 100 -98.4 98.4 100 100 100 -98.5 98.5 100 100 100 -98.6 98.6 100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 - - -Report Evaluation Test - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 51 -Learning task Classification analysis -Target variable Class -Main target value Iris-setosa - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.980738 1 -R2 Classifier Univariate Univariate SPetalLength 0.901961 0.704425 0.95993 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 13 0 -$Iris-virginica 0 0 19 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 12 4 -$Iris-virginica 0 1 15 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 12 4 0.266843 -{1} 19 0 0 0.44088 -{5, 6} 0 1 15 0.292278 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.268421 0.268421 0.268421 -0.2 0.2 0.536842 0.536842 0.536842 -0.3 0.3 0.805263 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-97.7 97.7 100 100 100 -97.8 97.8 100 100 100 -97.9 97.9 100 100 100 -98.0 98.0 100 100 100 -98.1 98.1 100 100 100 -98.2 98.2 100 100 100 -98.3 98.3 100 100 100 -98.4 98.4 100 100 100 -98.5 98.5 100 100 100 -98.6 98.6 100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 diff --git a/tests/resources/analysis_results/ref_reports/IrisC.txt b/tests/resources/analysis_results/ref_reports/IrisC.txt deleted file mode 100644 index d1174cf0..00000000 --- a/tests/resources/analysis_results/ref_reports/IrisC.txt +++ /dev/null @@ -1,6378 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class -Target descriptive stats - Values 3 - Mode Iris-versicolor - Mode frequency 37 -Target variable stats - Iris-setosa 31 - Iris-versicolor 37 - Iris-virginica 31 -Evaluated variables 11 -Informative variables 9 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 8.52714 - Data cost 103.619 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 SPetalLength Categorical 0.640816 3 5 4 32 3.09104 27.4826 9.95655 AsCategorical(Floor(PetalLength)) -R02 PetalLength Numerical 0.635667 3 36 1 6.9 3.801010101 1.712137004 0 3.09104 28.0635 9.95655 -R03 PetalWidth Numerical 0.617492 3 20 0.1 2.5 1.218181818 0.749863777 0 3.09104 30.1144 9.95655 -R04 Class2 Categorical 0.473857 2 2 62 3.09104 15.5969 40.6817 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R05 LowerPetalLength Numerical 0.447267 2 9 1 3 2.517171717 0.7226550938 0 3.09104 14.7454 44.5336 If(LE(PetalLength, 3), PetalLength, 3) -R06 Class1 Categorical 0.441125 2 2 68 3.09104 15.4385 44.5336 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R07 UpperPetalWidth Numerical 0.306898 2 11 1.5 2.5 1.681818182 0.2962266524 0 3.09104 14.8064 60.3118 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) -R08 SepalLength Numerical 0.2811 3 30 4.3 7.7 5.848484848 0.8065844732 0 3.09104 27.4942 50.535 -R09 SepalWidth Numerical 0.112567 2 22 2 4.4 3.042424242 0.4422374035 0 3.09104 16.7264 80.32 -R10 Dummy1 Numerical 0 1 1 0 0 0 0 0 0.693147 8.52714 103.619 Copy(0) -R11 Dummy2 Numerical 0 1 99 0.01372010867 0.9853969761 0.5371015665 0.2836682962 0 0.693147 8.52714 103.619 Random() - -Detailed variable statistics - -Rank R01 SPetalLength Categorical - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 36 2 0.311045 -{1} 31 0 0 0.374224 -{5, 6} 0 1 29 0.314731 - -Input values - 4 32 - 1 31 - 5 24 - 3 6 - 6 6 - -Rank R02 PetalLength Numerical - -Data grid Supervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.95] 2.4 4.95 - ]4.95;+inf[ 4.95 6.9 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.4] 31 0 0 0.374224 -]2.4;4.95] 0 36 2 0.311045 -]4.95;+inf[ 0 1 29 0.314731 - -Rank R03 PetalWidth Numerical - -Data grid Supervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.75] 0.7 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;0.7] 31 0 0 0.374224 -]0.7;1.75] 0 36 2 0.311045 -]1.75;+inf[ 0 1 29 0.314731 - -Rank R04 Class2 Categorical - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{} 31 0 31 0.443449 -{versicolor} 0 37 0 0.556551 - -Input values - 62 - versicolor 37 - -Rank R05 LowerPetalLength Numerical - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.4] 31 0 0 0.584937 -]2.4;+inf[ 0 37 31 0.415063 - -Rank R06 Class1 Categorical - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{} 0 37 31 0.415063 -{setosa} 31 0 0 0.584937 - -Input values - 68 - setosa 31 - -Rank R07 UpperPetalWidth Numerical - -Data grid Supervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;1.55] 31 33 2 0.407767 -]1.55;+inf[ 0 4 29 0.592233 - -Rank R08 SepalLength Numerical - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.75] 5.45 5.75 - ]5.75;+inf[ 5.75 7.7 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;5.45] 28 3 0 0.493633 -]5.45;5.75] 3 12 1 0.100396 -]5.75;+inf[ 0 22 30 0.405971 - -Rank R09 SepalWidth Numerical - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;3.35] 11 36 29 0.268778 -]3.35;+inf[ 20 1 2 0.731222 - - -Report Modeling - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable Class - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 4 -R2 Classifier Univariate Univariate SPetalLength 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PClass2 Class2 0.473857 0.507812 0.490541 -PPetalLength PetalLength 0.635667 0.164062 0.322938 -PClass1 Class1 0.441125 0.210938 0.305041 -PLowerPetalLength LowerPetalLength 0.447267 0.171875 0.277262 - - -Report Evaluation Train - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.98326 1 -R2 Classifier Univariate Univariate SPetalLength 0.969697 0.884895 0.983648 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 37 0 -$Iris-virginica 0 0 31 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 36 2 -$Iris-virginica 0 1 29 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 36 2 0.311045 -{1} 31 0 0 0.374224 -{5, 6} 0 1 29 0.314731 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.319355 0.319355 0.319355 -0.2 0.2 0.63871 0.63871 0.63871 -0.3 0.3 0.958065 0.958065 0.958065 -0.4 0.4 1.27742 1.27742 1.27742 -0.5 0.5 1.59677 1.59677 1.59677 -0.6 0.6 1.91613 1.91613 1.91613 -0.7 0.7 2.23548 2.23548 2.23548 -0.8 0.8 2.55484 2.55484 2.55484 -0.9 0.9 2.87419 2.87419 2.87419 -1.0 1.0 3.19355 3.19355 3.19355 -1.1 1.1 3.5129 3.5129 3.5129 -1.2 1.2 3.83226 3.83226 3.83226 -1.3 1.3 4.15161 4.15161 4.15161 -1.4 1.4 4.47097 4.47097 4.47097 -1.5 1.5 4.79032 4.79032 4.79032 -1.6 1.6 5.10968 5.10968 5.10968 -1.7 1.7 5.42903 5.42903 5.42903 -1.8 1.8 5.74839 5.74839 5.74839 -1.9 1.9 6.06774 6.06774 6.06774 -2.0 2.0 6.3871 6.3871 6.3871 -2.1 2.1 6.70645 6.70645 6.70645 -2.2 2.2 7.02581 7.02581 7.02581 -2.3 2.3 7.34516 7.34516 7.34516 -2.4 2.4 7.66452 7.66452 7.66452 -2.5 2.5 7.98387 7.98387 7.98387 -2.6 2.6 8.30323 8.30323 8.30323 -2.7 2.7 8.62258 8.62258 8.62258 -2.8 2.8 8.94194 8.94194 8.94194 -2.9 2.9 9.26129 9.26129 9.26129 -3.0 3.0 9.58065 9.58065 9.58065 -3.1 3.1 9.9 9.9 9.9 -3.2 3.2 10.2194 10.2194 10.2194 -3.3 3.3 10.5387 10.5387 10.5387 -3.4 3.4 10.8581 10.8581 10.8581 -3.5 3.5 11.1774 11.1774 11.1774 -3.6 3.6 11.4968 11.4968 11.4968 -3.7 3.7 11.8161 11.8161 11.8161 -3.8 3.8 12.1355 12.1355 12.1355 -3.9 3.9 12.4548 12.4548 12.4548 -4.0 4.0 12.7742 12.7742 12.7742 -4.1 4.1 13.0935 13.0935 13.0935 -4.2 4.2 13.4129 13.4129 13.4129 -4.3 4.3 13.7323 13.7323 13.7323 -4.4 4.4 14.0516 14.0516 14.0516 -4.5 4.5 14.371 14.371 14.371 -4.6 4.6 14.6903 14.6903 14.6903 -4.7 4.7 15.0097 15.0097 15.0097 -4.8 4.8 15.329 15.329 15.329 -4.9 4.9 15.6484 15.6484 15.6484 -5.0 5.0 15.9677 15.9677 15.9677 -5.1 5.1 16.2871 16.2871 16.2871 -5.2 5.2 16.6065 16.6065 16.6065 -5.3 5.3 16.9258 16.9258 16.9258 -5.4 5.4 17.2452 17.2452 17.2452 -5.5 5.5 17.5645 17.5645 17.5645 -5.6 5.6 17.8839 17.8839 17.8839 -5.7 5.7 18.2032 18.2032 18.2032 -5.8 5.8 18.5226 18.5226 18.5226 -5.9 5.9 18.8419 18.8419 18.8419 -6.0 6.0 19.1613 19.1613 19.1613 -6.1 6.1 19.4806 19.4806 19.4806 -6.2 6.2 19.8 19.8 19.8 -6.3 6.3 20.1194 20.1194 20.1194 -6.4 6.4 20.4387 20.4387 20.4387 -6.5 6.5 20.7581 20.7581 20.7581 -6.6 6.6 21.0774 21.0774 21.0774 -6.7 6.7 21.3968 21.3968 21.3968 -6.8 6.8 21.7161 21.7161 21.7161 -6.9 6.9 22.0355 22.0355 22.0355 -7.0 7.0 22.3548 22.3548 22.3548 -7.1 7.1 22.6742 22.6742 22.6742 -7.2 7.2 22.9935 22.9935 22.9935 -7.3 7.3 23.3129 23.3129 23.3129 -7.4 7.4 23.6323 23.6323 23.6323 -7.5 7.5 23.9516 23.9516 23.9516 -7.6 7.6 24.271 24.271 24.271 -7.7 7.7 24.5903 24.5903 24.5903 -7.8 7.8 24.9097 24.9097 24.9097 -7.9 7.9 25.229 25.229 25.229 -8.0 8.0 25.5484 25.5484 25.5484 -8.1 8.1 25.8677 25.8677 25.8677 -8.2 8.2 26.1871 26.1871 26.1871 -8.3 8.3 26.5065 26.5065 26.5065 -8.4 8.4 26.8258 26.8258 26.8258 -8.5 8.5 27.1452 27.1452 27.1452 -8.6 8.6 27.4645 27.4645 27.4645 -8.7 8.7 27.7839 27.7839 27.7839 -8.8 8.8 28.1032 28.1032 28.1032 -8.9 8.9 28.4226 28.4226 28.4226 -9.0 9.0 28.7419 28.7419 28.7419 -9.1 9.1 29.0613 29.0613 29.0613 -9.2 9.2 29.3806 29.3806 29.3806 -9.3 9.3 29.7 29.7 29.7 -9.4 9.4 30.0194 30.0194 30.0194 -9.5 9.5 30.3387 30.3387 30.3387 -9.6 9.6 30.6581 30.6581 30.6581 -9.7 9.7 30.9774 30.9774 30.9774 -9.8 9.8 31.2968 31.2968 31.2968 -9.9 9.9 31.6161 31.6161 31.6161 -10.0 10.0 31.9355 31.9355 31.9355 -10.1 10.1 32.2548 32.2548 32.2548 -10.2 10.2 32.5742 32.5742 32.5742 -10.3 10.3 32.8935 32.8935 32.8935 -10.4 10.4 33.2129 33.2129 33.2129 -10.5 10.5 33.5323 33.5323 33.5323 -10.6 10.6 33.8516 33.8516 33.8516 -10.7 10.7 34.171 34.171 34.171 -10.8 10.8 34.4903 34.4903 34.4903 -10.9 10.9 34.8097 34.8097 34.8097 -11.0 11.0 35.129 35.129 35.129 -11.1 11.1 35.4484 35.4484 35.4484 -11.2 11.2 35.7677 35.7677 35.7677 -11.3 11.3 36.0871 36.0871 36.0871 -11.4 11.4 36.4065 36.4065 36.4065 -11.5 11.5 36.7258 36.7258 36.7258 -11.6 11.6 37.0452 37.0452 37.0452 -11.7 11.7 37.3645 37.3645 37.3645 -11.8 11.8 37.6839 37.6839 37.6839 -11.9 11.9 38.0032 38.0032 38.0032 -12.0 12.0 38.3226 38.3226 38.3226 -12.1 12.1 38.6419 38.6419 38.6419 -12.2 12.2 38.9613 38.9613 38.9613 -12.3 12.3 39.2806 39.2806 39.2806 -12.4 12.4 39.6 39.6 39.6 -12.5 12.5 39.9194 39.9194 39.9194 -12.6 12.6 40.2387 40.2387 40.2387 -12.7 12.7 40.5581 40.5581 40.5581 -12.8 12.8 40.8774 40.8774 40.8774 -12.9 12.9 41.1968 41.1968 41.1968 -13.0 13.0 41.5161 41.5161 41.5161 -13.1 13.1 41.8355 41.8355 41.8355 -13.2 13.2 42.1548 42.1548 42.1548 -13.3 13.3 42.4742 42.4742 42.4742 -13.4 13.4 42.7935 42.7935 42.7935 -13.5 13.5 43.1129 43.1129 43.1129 -13.6 13.6 43.4323 43.4323 43.4323 -13.7 13.7 43.7516 43.7516 43.7516 -13.8 13.8 44.071 44.071 44.071 -13.9 13.9 44.3903 44.3903 44.3903 -14.0 14.0 44.7097 44.7097 44.7097 -14.1 14.1 45.029 45.029 45.029 -14.2 14.2 45.3484 45.3484 45.3484 -14.3 14.3 45.6677 45.6677 45.6677 -14.4 14.4 45.9871 45.9871 45.9871 -14.5 14.5 46.3065 46.3065 46.3065 -14.6 14.6 46.6258 46.6258 46.6258 -14.7 14.7 46.9452 46.9452 46.9452 -14.8 14.8 47.2645 47.2645 47.2645 -14.9 14.9 47.5839 47.5839 47.5839 -15.0 15.0 47.9032 47.9032 47.9032 -15.1 15.1 48.2226 48.2226 48.2226 -15.2 15.2 48.5419 48.5419 48.5419 -15.3 15.3 48.8613 48.8613 48.8613 -15.4 15.4 49.1806 49.1806 49.1806 -15.5 15.5 49.5 49.5 49.5 -15.6 15.6 49.8194 49.8194 49.8194 -15.7 15.7 50.1387 50.1387 50.1387 -15.8 15.8 50.4581 50.4581 50.4581 -15.9 15.9 50.7774 50.7774 50.7774 -16.0 16.0 51.0968 51.0968 51.0968 -16.1 16.1 51.4161 51.4161 51.4161 -16.2 16.2 51.7355 51.7355 51.7355 -16.3 16.3 52.0548 52.0548 52.0548 -16.4 16.4 52.3742 52.3742 52.3742 -16.5 16.5 52.6935 52.6935 52.6935 -16.6 16.6 53.0129 53.0129 53.0129 -16.7 16.7 53.3323 53.3323 53.3323 -16.8 16.8 53.6516 53.6516 53.6516 -16.9 16.9 53.971 53.971 53.971 -17.0 17.0 54.2903 54.2903 54.2903 -17.1 17.1 54.6097 54.6097 54.6097 -17.2 17.2 54.929 54.929 54.929 -17.3 17.3 55.2484 55.2484 55.2484 -17.4 17.4 55.5677 55.5677 55.5677 -17.5 17.5 55.8871 55.8871 55.8871 -17.6 17.6 56.2065 56.2065 56.2065 -17.7 17.7 56.5258 56.5258 56.5258 -17.8 17.8 56.8452 56.8452 56.8452 -17.9 17.9 57.1645 57.1645 57.1645 -18.0 18.0 57.4839 57.4839 57.4839 -18.1 18.1 57.8032 57.8032 57.8032 -18.2 18.2 58.1226 58.1226 58.1226 -18.3 18.3 58.4419 58.4419 58.4419 -18.4 18.4 58.7613 58.7613 58.7613 -18.5 18.5 59.0806 59.0806 59.0806 -18.6 18.6 59.4 59.4 59.4 -18.7 18.7 59.7194 59.7194 59.7194 -18.8 18.8 60.0387 60.0387 60.0387 -18.9 18.9 60.3581 60.3581 60.3581 -19.0 19.0 60.6774 60.6774 60.6774 -19.1 19.1 60.9968 60.9968 60.9968 -19.2 19.2 61.3161 61.3161 61.3161 -19.3 19.3 61.6355 61.6355 61.6355 -19.4 19.4 61.9548 61.9548 61.9548 -19.5 19.5 62.2742 62.2742 62.2742 -19.6 19.6 62.5935 62.5935 62.5935 -19.7 19.7 62.9129 62.9129 62.9129 -19.8 19.8 63.2323 63.2323 63.2323 -19.9 19.9 63.5516 63.5516 63.5516 -20.0 20.0 63.871 63.871 63.871 -20.1 20.1 64.1903 64.1903 64.1903 -20.2 20.2 64.5097 64.5097 64.5097 -20.3 20.3 64.829 64.829 64.829 -20.4 20.4 65.1484 65.1484 65.1484 -20.5 20.5 65.4677 65.4677 65.4677 -20.6 20.6 65.7871 65.7871 65.7871 -20.7 20.7 66.1065 66.1065 66.1065 -20.8 20.8 66.4258 66.4258 66.4258 -20.9 20.9 66.7452 66.7452 66.7452 -21.0 21.0 67.0645 67.0645 67.0645 -21.1 21.1 67.3839 67.3839 67.3839 -21.2 21.2 67.7032 67.7032 67.7032 -21.3 21.3 68.0226 68.0226 68.0226 -21.4 21.4 68.3419 68.3419 68.3419 -21.5 21.5 68.6613 68.6613 68.6613 -21.6 21.6 68.9806 68.9806 68.9806 -21.7 21.7 69.3 69.3 69.3 -21.8 21.8 69.6194 69.6194 69.6194 -21.9 21.9 69.9387 69.9387 69.9387 -22.0 22.0 70.2581 70.2581 70.2581 -22.1 22.1 70.5774 70.5774 70.5774 -22.2 22.2 70.8968 70.8968 70.8968 -22.3 22.3 71.2161 71.2161 71.2161 -22.4 22.4 71.5355 71.5355 71.5355 -22.5 22.5 71.8548 71.8548 71.8548 -22.6 22.6 72.1742 72.1742 72.1742 -22.7 22.7 72.4935 72.4935 72.4935 -22.8 22.8 72.8129 72.8129 72.8129 -22.9 22.9 73.1323 73.1323 73.1323 -23.0 23.0 73.4516 73.4516 73.4516 -23.1 23.1 73.771 73.771 73.771 -23.2 23.2 74.0903 74.0903 74.0903 -23.3 23.3 74.4097 74.4097 74.4097 -23.4 23.4 74.729 74.729 74.729 -23.5 23.5 75.0484 75.0484 75.0484 -23.6 23.6 75.3677 75.3677 75.3677 -23.7 23.7 75.6871 75.6871 75.6871 -23.8 23.8 76.0065 76.0065 76.0065 -23.9 23.9 76.3258 76.3258 76.3258 -24.0 24.0 76.6452 76.6452 76.6452 -24.1 24.1 76.9645 76.9645 76.9645 -24.2 24.2 77.2839 77.2839 77.2839 -24.3 24.3 77.6032 77.6032 77.6032 -24.4 24.4 77.9226 77.9226 77.9226 -24.5 24.5 78.2419 78.2419 78.2419 -24.6 24.6 78.5613 78.5613 78.5613 -24.7 24.7 78.8806 78.8806 78.8806 -24.8 24.8 79.2 79.2 79.2 -24.9 24.9 79.5194 79.5194 79.5194 -25.0 25.0 79.8387 79.8387 79.8387 -25.1 25.1 80.1581 80.1581 80.1581 -25.2 25.2 80.4774 80.4774 80.4774 -25.3 25.3 80.7968 80.7968 80.7968 -25.4 25.4 81.1161 81.1161 81.1161 -25.5 25.5 81.4355 81.4355 81.4355 -25.6 25.6 81.7548 81.7548 81.7548 -25.7 25.7 82.0742 82.0742 82.0742 -25.8 25.8 82.3935 82.3935 82.3935 -25.9 25.9 82.7129 82.7129 82.7129 -26.0 26.0 83.0323 83.0323 83.0323 -26.1 26.1 83.3516 83.3516 83.3516 -26.2 26.2 83.671 83.671 83.671 -26.3 26.3 83.9903 83.9903 83.9903 -26.4 26.4 84.3097 84.3097 84.3097 -26.5 26.5 84.629 84.629 84.629 -26.6 26.6 84.9484 84.9484 84.9484 -26.7 26.7 85.2677 85.2677 85.2677 -26.8 26.8 85.5871 85.5871 85.5871 -26.9 26.9 85.9065 85.9065 85.9065 -27.0 27.0 86.2258 86.2258 86.2258 -27.1 27.1 86.5452 86.5452 86.5452 -27.2 27.2 86.8645 86.8645 86.8645 -27.3 27.3 87.1839 87.1839 87.1839 -27.4 27.4 87.5032 87.5032 87.5032 -27.5 27.5 87.8226 87.8226 87.8226 -27.6 27.6 88.1419 88.1419 88.1419 -27.7 27.7 88.4613 88.4613 88.4613 -27.8 27.8 88.7806 88.7806 88.7806 -27.9 27.9 89.1 89.1 89.1 -28.0 28.0 89.4194 89.4194 89.4194 -28.1 28.1 89.7387 89.7387 89.7387 -28.2 28.2 90.0581 90.0581 90.0581 -28.3 28.3 90.3774 90.3774 90.3774 -28.4 28.4 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-98.4 98.4 100 100 100 -98.5 98.5 100 100 100 -98.6 98.6 100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 - - -Report Evaluation Test - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 51 -Learning task Classification analysis -Target variable Class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.980738 1 -R2 Classifier Univariate Univariate SPetalLength 0.901961 0.704425 0.95993 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 13 0 -$Iris-virginica 0 0 19 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 12 4 -$Iris-virginica 0 1 15 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Value group Iris-setosa Iris-versicolor Iris-virginica Interest -{4, 3} 0 12 4 0.266843 -{1} 19 0 0 0.44088 -{5, 6} 0 1 15 0.292278 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.268421 0.268421 0.268421 -0.2 0.2 0.536842 0.536842 0.536842 -0.3 0.3 0.805263 0.805263 0.805263 -0.4 0.4 1.07368 1.07368 1.07368 -0.5 0.5 1.34211 1.34211 1.34211 -0.6 0.6 1.61053 1.61053 1.61053 -0.7 0.7 1.87895 1.87895 1.87895 -0.8 0.8 2.14737 2.14737 2.14737 -0.9 0.9 2.41579 2.41579 2.41579 -1.0 1.0 2.68421 2.68421 2.68421 -1.1 1.1 2.95263 2.95263 2.95263 -1.2 1.2 3.22105 3.22105 3.22105 -1.3 1.3 3.48947 3.48947 3.48947 -1.4 1.4 3.75789 3.75789 3.75789 -1.5 1.5 4.02632 4.02632 4.02632 -1.6 1.6 4.29474 4.29474 4.29474 -1.7 1.7 4.56316 4.56316 4.56316 -1.8 1.8 4.83158 4.83158 4.83158 -1.9 1.9 5.1 5.1 5.1 -2.0 2.0 5.36842 5.36842 5.36842 -2.1 2.1 5.63684 5.63684 5.63684 -2.2 2.2 5.90526 5.90526 5.90526 -2.3 2.3 6.17368 6.17368 6.17368 -2.4 2.4 6.44211 6.44211 6.44211 -2.5 2.5 6.71053 6.71053 6.71053 -2.6 2.6 6.97895 6.97895 6.97895 -2.7 2.7 7.24737 7.24737 7.24737 -2.8 2.8 7.51579 7.51579 7.51579 -2.9 2.9 7.78421 7.78421 7.78421 -3.0 3.0 8.05263 8.05263 8.05263 -3.1 3.1 8.32105 8.32105 8.32105 -3.2 3.2 8.58947 8.58947 8.58947 -3.3 3.3 8.85789 8.85789 8.85789 -3.4 3.4 9.12632 9.12632 9.12632 -3.5 3.5 9.39474 9.39474 9.39474 -3.6 3.6 9.66316 9.66316 9.66316 -3.7 3.7 9.93158 9.93158 9.93158 -3.8 3.8 10.2 10.2 10.2 -3.9 3.9 10.4684 10.4684 10.4684 -4.0 4.0 10.7368 10.7368 10.7368 -4.1 4.1 11.0053 11.0053 11.0053 -4.2 4.2 11.2737 11.2737 11.2737 -4.3 4.3 11.5421 11.5421 11.5421 -4.4 4.4 11.8105 11.8105 11.8105 -4.5 4.5 12.0789 12.0789 12.0789 -4.6 4.6 12.3474 12.3474 12.3474 -4.7 4.7 12.6158 12.6158 12.6158 -4.8 4.8 12.8842 12.8842 12.8842 -4.9 4.9 13.1526 13.1526 13.1526 -5.0 5.0 13.4211 13.4211 13.4211 -5.1 5.1 13.6895 13.6895 13.6895 -5.2 5.2 13.9579 13.9579 13.9579 -5.3 5.3 14.2263 14.2263 14.2263 -5.4 5.4 14.4947 14.4947 14.4947 -5.5 5.5 14.7632 14.7632 14.7632 -5.6 5.6 15.0316 15.0316 15.0316 -5.7 5.7 15.3 15.3 15.3 -5.8 5.8 15.5684 15.5684 15.5684 -5.9 5.9 15.8368 15.8368 15.8368 -6.0 6.0 16.1053 16.1053 16.1053 -6.1 6.1 16.3737 16.3737 16.3737 -6.2 6.2 16.6421 16.6421 16.6421 -6.3 6.3 16.9105 16.9105 16.9105 -6.4 6.4 17.1789 17.1789 17.1789 -6.5 6.5 17.4474 17.4474 17.4474 -6.6 6.6 17.7158 17.7158 17.7158 -6.7 6.7 17.9842 17.9842 17.9842 -6.8 6.8 18.2526 18.2526 18.2526 -6.9 6.9 18.5211 18.5211 18.5211 -7.0 7.0 18.7895 18.7895 18.7895 -7.1 7.1 19.0579 19.0579 19.0579 -7.2 7.2 19.3263 19.3263 19.3263 -7.3 7.3 19.5947 19.5947 19.5947 -7.4 7.4 19.8632 19.8632 19.8632 -7.5 7.5 20.1316 20.1316 20.1316 -7.6 7.6 20.4 20.4 20.4 -7.7 7.7 20.6684 20.6684 20.6684 -7.8 7.8 20.9368 20.9368 20.9368 -7.9 7.9 21.2053 21.2053 21.2053 -8.0 8.0 21.4737 21.4737 21.4737 -8.1 8.1 21.7421 21.7421 21.7421 -8.2 8.2 22.0105 22.0105 22.0105 -8.3 8.3 22.2789 22.2789 22.2789 -8.4 8.4 22.5474 22.5474 22.5474 -8.5 8.5 22.8158 22.8158 22.8158 -8.6 8.6 23.0842 23.0842 23.0842 -8.7 8.7 23.3526 23.3526 23.3526 -8.8 8.8 23.6211 23.6211 23.6211 -8.9 8.9 23.8895 23.8895 23.8895 -9.0 9.0 24.1579 24.1579 24.1579 -9.1 9.1 24.4263 24.4263 24.4263 -9.2 9.2 24.6947 24.6947 24.6947 -9.3 9.3 24.9632 24.9632 24.9632 -9.4 9.4 25.2316 25.2316 25.2316 -9.5 9.5 25.5 25.5 25.5 -9.6 9.6 25.7684 25.7684 25.7684 -9.7 9.7 26.0368 26.0368 26.0368 -9.8 9.8 26.3053 26.3053 26.3053 -9.9 9.9 26.5737 26.5737 26.5737 -10.0 10.0 26.8421 26.8421 26.8421 -10.1 10.1 27.1105 27.1105 27.1105 -10.2 10.2 27.3789 27.3789 27.3789 -10.3 10.3 27.6474 27.6474 27.6474 -10.4 10.4 27.9158 27.9158 27.9158 -10.5 10.5 28.1842 28.1842 28.1842 -10.6 10.6 28.4526 28.4526 28.4526 -10.7 10.7 28.7211 28.7211 28.7211 -10.8 10.8 28.9895 28.9895 28.9895 -10.9 10.9 29.2579 29.2579 29.2579 -11.0 11.0 29.5263 29.5263 29.5263 -11.1 11.1 29.7947 29.7947 29.7947 -11.2 11.2 30.0632 30.0632 30.0632 -11.3 11.3 30.3316 30.3316 30.3316 -11.4 11.4 30.6 30.6 30.6 -11.5 11.5 30.8684 30.8684 30.8684 -11.6 11.6 31.1368 31.1368 31.1368 -11.7 11.7 31.4053 31.4053 31.4053 -11.8 11.8 31.6737 31.6737 31.6737 -11.9 11.9 31.9421 31.9421 31.9421 -12.0 12.0 32.2105 32.2105 32.2105 -12.1 12.1 32.4789 32.4789 32.4789 -12.2 12.2 32.7474 32.7474 32.7474 -12.3 12.3 33.0158 33.0158 33.0158 -12.4 12.4 33.2842 33.2842 33.2842 -12.5 12.5 33.5526 33.5526 33.5526 -12.6 12.6 33.8211 33.8211 33.8211 -12.7 12.7 34.0895 34.0895 34.0895 -12.8 12.8 34.3579 34.3579 34.3579 -12.9 12.9 34.6263 34.6263 34.6263 -13.0 13.0 34.8947 34.8947 34.8947 -13.1 13.1 35.1632 35.1632 35.1632 -13.2 13.2 35.4316 35.4316 35.4316 -13.3 13.3 35.7 35.7 35.7 -13.4 13.4 35.9684 35.9684 35.9684 -13.5 13.5 36.2368 36.2368 36.2368 -13.6 13.6 36.5053 36.5053 36.5053 -13.7 13.7 36.7737 36.7737 36.7737 -13.8 13.8 37.0421 37.0421 37.0421 -13.9 13.9 37.3105 37.3105 37.3105 -14.0 14.0 37.5789 37.5789 37.5789 -14.1 14.1 37.8474 37.8474 37.8474 -14.2 14.2 38.1158 38.1158 38.1158 -14.3 14.3 38.3842 38.3842 38.3842 -14.4 14.4 38.6526 38.6526 38.6526 -14.5 14.5 38.9211 38.9211 38.9211 -14.6 14.6 39.1895 39.1895 39.1895 -14.7 14.7 39.4579 39.4579 39.4579 -14.8 14.8 39.7263 39.7263 39.7263 -14.9 14.9 39.9947 39.9947 39.9947 -15.0 15.0 40.2632 40.2632 40.2632 -15.1 15.1 40.5316 40.5316 40.5316 -15.2 15.2 40.8 40.8 40.8 -15.3 15.3 41.0684 41.0684 41.0684 -15.4 15.4 41.3368 41.3368 41.3368 -15.5 15.5 41.6053 41.6053 41.6053 -15.6 15.6 41.8737 41.8737 41.8737 -15.7 15.7 42.1421 42.1421 42.1421 -15.8 15.8 42.4105 42.4105 42.4105 -15.9 15.9 42.6789 42.6789 42.6789 -16.0 16.0 42.9474 42.9474 42.9474 -16.1 16.1 43.2158 43.2158 43.2158 -16.2 16.2 43.4842 43.4842 43.4842 -16.3 16.3 43.7526 43.7526 43.7526 -16.4 16.4 44.0211 44.0211 44.0211 -16.5 16.5 44.2895 44.2895 44.2895 -16.6 16.6 44.5579 44.5579 44.5579 -16.7 16.7 44.8263 44.8263 44.8263 -16.8 16.8 45.0947 45.0947 45.0947 -16.9 16.9 45.3632 45.3632 45.3632 -17.0 17.0 45.6316 45.6316 45.6316 -17.1 17.1 45.9 45.9 45.9 -17.2 17.2 46.1684 46.1684 46.1684 -17.3 17.3 46.4368 46.4368 46.4368 -17.4 17.4 46.7053 46.7053 46.7053 -17.5 17.5 46.9737 46.9737 46.9737 -17.6 17.6 47.2421 47.2421 47.2421 -17.7 17.7 47.5105 47.5105 47.5105 -17.8 17.8 47.7789 47.7789 47.7789 -17.9 17.9 48.0474 48.0474 48.0474 -18.0 18.0 48.3158 48.3158 48.3158 -18.1 18.1 48.5842 48.5842 48.5842 -18.2 18.2 48.8526 48.8526 48.8526 -18.3 18.3 49.1211 49.1211 49.1211 -18.4 18.4 49.3895 49.3895 49.3895 -18.5 18.5 49.6579 49.6579 49.6579 -18.6 18.6 49.9263 49.9263 49.9263 -18.7 18.7 50.1947 50.1947 50.1947 -18.8 18.8 50.4632 50.4632 50.4632 -18.9 18.9 50.7316 50.7316 50.7316 -19.0 19.0 51 51 51 -19.1 19.1 51.2684 51.2684 51.2684 -19.2 19.2 51.5368 51.5368 51.5368 -19.3 19.3 51.8053 51.8053 51.8053 -19.4 19.4 52.0737 52.0737 52.0737 -19.5 19.5 52.3421 52.3421 52.3421 -19.6 19.6 52.6105 52.6105 52.6105 -19.7 19.7 52.8789 52.8789 52.8789 -19.8 19.8 53.1474 53.1474 53.1474 -19.9 19.9 53.4158 53.4158 53.4158 -20.0 20.0 53.6842 53.6842 53.6842 -20.1 20.1 53.9526 53.9526 53.9526 -20.2 20.2 54.2211 54.2211 54.2211 -20.3 20.3 54.4895 54.4895 54.4895 -20.4 20.4 54.7579 54.7579 54.7579 -20.5 20.5 55.0263 55.0263 55.0263 -20.6 20.6 55.2947 55.2947 55.2947 -20.7 20.7 55.5632 55.5632 55.5632 -20.8 20.8 55.8316 55.8316 55.8316 -20.9 20.9 56.1 56.1 56.1 -21.0 21.0 56.3684 56.3684 56.3684 -21.1 21.1 56.6368 56.6368 56.6368 -21.2 21.2 56.9053 56.9053 56.9053 -21.3 21.3 57.1737 57.1737 57.1737 -21.4 21.4 57.4421 57.4421 57.4421 -21.5 21.5 57.7105 57.7105 57.7105 -21.6 21.6 57.9789 57.9789 57.9789 -21.7 21.7 58.2474 58.2474 58.2474 -21.8 21.8 58.5158 58.5158 58.5158 -21.9 21.9 58.7842 58.7842 58.7842 -22.0 22.0 59.0526 59.0526 59.0526 -22.1 22.1 59.3211 59.3211 59.3211 -22.2 22.2 59.5895 59.5895 59.5895 -22.3 22.3 59.8579 59.8579 59.8579 -22.4 22.4 60.1263 60.1263 60.1263 -22.5 22.5 60.3947 60.3947 60.3947 -22.6 22.6 60.6632 60.6632 60.6632 -22.7 22.7 60.9316 60.9316 60.9316 -22.8 22.8 61.2 61.2 61.2 -22.9 22.9 61.4684 61.4684 61.4684 -23.0 23.0 61.7368 61.7368 61.7368 -23.1 23.1 62.0053 62.0053 62.0053 -23.2 23.2 62.2737 62.2737 62.2737 -23.3 23.3 62.5421 62.5421 62.5421 -23.4 23.4 62.8105 62.8105 62.8105 -23.5 23.5 63.0789 63.0789 63.0789 -23.6 23.6 63.3474 63.3474 63.3474 -23.7 23.7 63.6158 63.6158 63.6158 -23.8 23.8 63.8842 63.8842 63.8842 -23.9 23.9 64.1526 64.1526 64.1526 -24.0 24.0 64.4211 64.4211 64.4211 -24.1 24.1 64.6895 64.6895 64.6895 -24.2 24.2 64.9579 64.9579 64.9579 -24.3 24.3 65.2263 65.2263 65.2263 -24.4 24.4 65.4947 65.4947 65.4947 -24.5 24.5 65.7632 65.7632 65.7632 -24.6 24.6 66.0316 66.0316 66.0316 -24.7 24.7 66.3 66.3 66.3 -24.8 24.8 66.5684 66.5684 66.5684 -24.9 24.9 66.8368 66.8368 66.8368 -25.0 25.0 67.1053 67.1053 67.1053 -25.1 25.1 67.3737 67.3737 67.3737 -25.2 25.2 67.6421 67.6421 67.6421 -25.3 25.3 67.9105 67.9105 67.9105 -25.4 25.4 68.1789 68.1789 68.1789 -25.5 25.5 68.4474 68.4474 68.4474 -25.6 25.6 68.7158 68.7158 68.7158 -25.7 25.7 68.9842 68.9842 68.9842 -25.8 25.8 69.2526 69.2526 69.2526 -25.9 25.9 69.5211 69.5211 69.5211 -26.0 26.0 69.7895 69.7895 69.7895 -26.1 26.1 70.0579 70.0579 70.0579 -26.2 26.2 70.3263 70.3263 70.3263 -26.3 26.3 70.5947 70.5947 70.5947 -26.4 26.4 70.8632 70.8632 70.8632 -26.5 26.5 71.1316 71.1316 71.1316 -26.6 26.6 71.4 71.4 71.4 -26.7 26.7 71.6684 71.6684 71.6684 -26.8 26.8 71.9368 71.9368 71.9368 -26.9 26.9 72.2053 72.2053 72.2053 -27.0 27.0 72.4737 72.4737 72.4737 -27.1 27.1 72.7421 72.7421 72.7421 -27.2 27.2 73.0105 73.0105 73.0105 -27.3 27.3 73.2789 73.2789 73.2789 -27.4 27.4 73.5474 73.5474 73.5474 -27.5 27.5 73.8158 73.8158 73.8158 -27.6 27.6 74.0842 74.0842 74.0842 -27.7 27.7 74.3526 74.3526 74.3526 -27.8 27.8 74.6211 74.6211 74.6211 -27.9 27.9 74.8895 74.8895 74.8895 -28.0 28.0 75.1579 75.1579 75.1579 -28.1 28.1 75.4263 75.4263 75.4263 -28.2 28.2 75.6947 75.6947 75.6947 -28.3 28.3 75.9632 75.9632 75.9632 -28.4 28.4 76.2316 76.2316 76.2316 -28.5 28.5 76.5 76.5 76.5 -28.6 28.6 76.7684 76.7684 76.7684 -28.7 28.7 77.0368 77.0368 77.0368 -28.8 28.8 77.3053 77.3053 77.3053 -28.9 28.9 77.5737 77.5737 77.5737 -29.0 29.0 77.8421 77.8421 77.8421 -29.1 29.1 78.1105 78.1105 78.1105 -29.2 29.2 78.3789 78.3789 78.3789 -29.3 29.3 78.6474 78.6474 78.6474 -29.4 29.4 78.9158 78.9158 78.9158 -29.5 29.5 79.1842 79.1842 79.1842 -29.6 29.6 79.4526 79.4526 79.4526 -29.7 29.7 79.7211 79.7211 79.7211 -29.8 29.8 79.9895 79.9895 79.9895 -29.9 29.9 80.2579 80.2579 80.2579 -30.0 30.0 80.5263 80.5263 80.5263 -30.1 30.1 80.7947 80.7947 80.7947 -30.2 30.2 81.0632 81.0632 81.0632 -30.3 30.3 81.3316 81.3316 81.3316 -30.4 30.4 81.6 81.6 81.6 -30.5 30.5 81.8684 81.8684 81.8684 -30.6 30.6 82.1368 82.1368 82.1368 -30.7 30.7 82.4053 82.4053 82.4053 -30.8 30.8 82.6737 82.6737 82.6737 -30.9 30.9 82.9421 82.9421 82.9421 -31.0 31.0 83.2105 83.2105 83.2105 -31.1 31.1 83.4789 83.4789 83.4789 -31.2 31.2 83.7474 83.7474 83.7474 -31.3 31.3 84.0158 84.0158 84.0158 -31.4 31.4 84.2842 84.2842 84.2842 -31.5 31.5 84.5526 84.5526 84.5526 -31.6 31.6 84.8211 84.8211 84.8211 -31.7 31.7 85.0895 85.0895 85.0895 -31.8 31.8 85.3579 85.3579 85.3579 -31.9 31.9 85.6263 85.6263 85.6263 -32.0 32.0 85.8947 85.8947 85.8947 -32.1 32.1 86.1632 86.1632 86.1632 -32.2 32.2 86.4316 86.4316 86.4316 -32.3 32.3 86.7 86.7 86.7 -32.4 32.4 86.9684 86.9684 86.9684 -32.5 32.5 87.2368 87.2368 87.2368 -32.6 32.6 87.5053 87.5053 87.5053 -32.7 32.7 87.7737 87.7737 87.7737 -32.8 32.8 88.0421 88.0421 88.0421 -32.9 32.9 88.3105 88.3105 88.3105 -33.0 33.0 88.5789 88.5789 88.5789 -33.1 33.1 88.8474 88.8474 88.8474 -33.2 33.2 89.1158 89.1158 89.1158 -33.3 33.3 89.3842 89.3842 89.3842 -33.4 33.4 89.6526 89.6526 89.6526 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100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 diff --git a/tests/resources/analysis_results/ref_reports/IrisG.txt b/tests/resources/analysis_results/ref_reports/IrisG.txt deleted file mode 100644 index 53dc13b0..00000000 --- a/tests/resources/analysis_results/ref_reports/IrisG.txt +++ /dev/null @@ -1,6373 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class -Target descriptive stats - Values 3 - Mode Iris-versicolor - Mode frequency 37 -Target variable stats - Iris-setosa 31 - Iris-versicolor 37 - Iris-virginica 31 -Evaluated variables 11 -Informative variables 9 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 8.52714 - Data cost 103.619 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 SPetalLength Categorical 0.610351 3 3 5 4 32 3.09104 30.9202 9.95655 AsCategorical(Floor(PetalLength)) -R02 PetalLength Numerical 0.60443 3 3 36 1 6.9 3.801010101 1.712137004 0 3.09104 32.848 8.69684 -R03 PetalWidth Numerical 0.593493 3 3 20 0.1 2.5 1.218181818 0.749863777 0 3.09104 32.8225 9.95655 -R04 LowerPetalLength Numerical 0.450217 2 2 9 1 3 2.517171717 0.7226550938 0 3.09104 14.4125 44.5336 If(LE(PetalLength, 3), PetalLength, 3) -R05 Class2 Categorical 0.448377 2 2 2 62 3.09104 18.472 40.6817 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R06 Class1 Categorical 0.414152 2 2 2 68 3.09104 18.4821 44.5336 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R07 UpperPetalWidth Numerical 0.287849 2 2 11 1.5 2.5 1.681818182 0.2962266524 0 3.09104 14.4438 62.8239 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) -R08 SepalLength Numerical 0.25062 3 3 30 4.3 7.7 5.848484848 0.8065844732 0 3.09104 25.5757 55.893 -R09 SepalWidth Numerical 0.10454 2 2 22 2 4.4 3.042424242 0.4422374035 0 3.09104 16.563 81.3891 -R10 Dummy1 Numerical 0 1 1 1 0 0 0 0 0 0.693147 8.52714 103.619 Copy(0) -R11 Dummy2 Numerical 0 1 1 99 0.01372010867 0.9853969761 0.5371015665 0.2836682962 0 0.693147 8.52714 103.619 Random() - -Detailed variable statistics - -Rank R01 SPetalLength Categorical - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Value group {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -{4, 3} 36 0 2 0.311045 -{1} 0 31 0 0.374224 -{5, 6} 1 0 29 0.314731 - -Input values - 4 32 - 1 31 - 5 24 - 3 6 - 6 6 - -Rank R02 PetalLength Numerical - -Data grid Supervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Interval {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -]-inf;2.4] 0 31 0 0.366329 -]2.4;4.85] 34 0 0 0.340558 -]4.85;+inf[ 3 0 31 0.293112 - -Rank R03 PetalWidth Numerical - -Data grid Supervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.75] 0.7 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Interval {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -]-inf;0.7] 0 31 0 0.374224 -]0.7;1.75] 36 0 2 0.311045 -]1.75;+inf[ 1 0 29 0.314731 - -Rank R04 LowerPetalLength Numerical - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -Cells -Interval {Iris-versicolor, Iris-virginica} {Iris-setosa} Interest -]-inf;2.4] 0 31 0.584937 -]2.4;+inf[ 68 0 0.415063 - -Rank R05 Class2 Categorical - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Class Categorical Value groups - {Iris-setosa, Iris-virginica} Iris-setosa Iris-virginica * - {Iris-versicolor} Iris-versicolor -Cells -Value group {Iris-setosa, Iris-virginica} {Iris-versicolor} Interest -{} 62 0 0.443449 -{versicolor} 0 37 0.556551 - -Input values - 62 - versicolor 37 - -Rank R06 Class1 Categorical - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -Cells -Value group {Iris-versicolor, Iris-virginica} {Iris-setosa} Interest -{} 68 0 0.415063 -{setosa} 0 31 0.584937 - -Input values - 68 - setosa 31 - -Rank R07 UpperPetalWidth Numerical - -Data grid Supervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Class Categorical Value groups - {Iris-versicolor, Iris-setosa} Iris-versicolor Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Interval {Iris-versicolor, Iris-setosa} {Iris-virginica} Interest -]-inf;1.55] 64 2 0.430815 -]1.55;+inf[ 4 29 0.569185 - -Rank R08 SepalLength Numerical - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.15] 4.3 5.15 - ]5.15;5.75] 5.15 5.75 - ]5.75;+inf[ 5.75 7.7 -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Interval {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -]-inf;5.15] 2 21 0 0.422567 -]5.15;5.75] 13 10 1 0.122381 -]5.75;+inf[ 22 0 30 0.455053 - -Rank R09 SepalWidth Numerical - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -Cells -Interval {Iris-versicolor, Iris-virginica} {Iris-setosa} Interest -]-inf;3.35] 65 11 0.271773 -]3.35;+inf[ 3 20 0.728227 - - -Report Modeling - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable Class - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 4 -R2 Classifier Univariate Univariate SPetalLength 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PClass2 Class2 0.448377 0.515625 0.480827 -PLowerPetalLength LowerPetalLength 0.450217 0.476562 0.463203 -PPetalLength PetalLength 0.60443 0.0234375 0.119022 -PClass1 Class1 0.414152 0.0078125 0.056882 - - -Report Evaluation Train - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Classification analysis -Target variable Class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.981605 1 -R2 Classifier Univariate Univariate SPetalLength 0.969697 0.884895 0.983648 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 37 0 -$Iris-virginica 0 0 31 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 31 0 0 -$Iris-versicolor 0 36 2 -$Iris-virginica 0 1 29 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Value group {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -{4, 3} 36 0 2 0.311045 -{1} 0 31 0 0.374224 -{5, 6} 1 0 29 0.314731 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.319355 0.319355 0.319355 -0.2 0.2 0.63871 0.63871 0.63871 -0.3 0.3 0.958065 0.958065 0.958065 -0.4 0.4 1.27742 1.27742 1.27742 -0.5 0.5 1.59677 1.59677 1.59677 -0.6 0.6 1.91613 1.91613 1.91613 -0.7 0.7 2.23548 2.23548 2.23548 -0.8 0.8 2.55484 2.55484 2.55484 -0.9 0.9 2.87419 2.87419 2.87419 -1.0 1.0 3.19355 3.19355 3.19355 -1.1 1.1 3.5129 3.5129 3.5129 -1.2 1.2 3.83226 3.83226 3.83226 -1.3 1.3 4.15161 4.15161 4.15161 -1.4 1.4 4.47097 4.47097 4.47097 -1.5 1.5 4.79032 4.79032 4.79032 -1.6 1.6 5.10968 5.10968 5.10968 -1.7 1.7 5.42903 5.42903 5.42903 -1.8 1.8 5.74839 5.74839 5.74839 -1.9 1.9 6.06774 6.06774 6.06774 -2.0 2.0 6.3871 6.3871 6.3871 -2.1 2.1 6.70645 6.70645 6.70645 -2.2 2.2 7.02581 7.02581 7.02581 -2.3 2.3 7.34516 7.34516 7.34516 -2.4 2.4 7.66452 7.66452 7.66452 -2.5 2.5 7.98387 7.98387 7.98387 -2.6 2.6 8.30323 8.30323 8.30323 -2.7 2.7 8.62258 8.62258 8.62258 -2.8 2.8 8.94194 8.94194 8.94194 -2.9 2.9 9.26129 9.26129 9.26129 -3.0 3.0 9.58065 9.58065 9.58065 -3.1 3.1 9.9 9.9 9.9 -3.2 3.2 10.2194 10.2194 10.2194 -3.3 3.3 10.5387 10.5387 10.5387 -3.4 3.4 10.8581 10.8581 10.8581 -3.5 3.5 11.1774 11.1774 11.1774 -3.6 3.6 11.4968 11.4968 11.4968 -3.7 3.7 11.8161 11.8161 11.8161 -3.8 3.8 12.1355 12.1355 12.1355 -3.9 3.9 12.4548 12.4548 12.4548 -4.0 4.0 12.7742 12.7742 12.7742 -4.1 4.1 13.0935 13.0935 13.0935 -4.2 4.2 13.4129 13.4129 13.4129 -4.3 4.3 13.7323 13.7323 13.7323 -4.4 4.4 14.0516 14.0516 14.0516 -4.5 4.5 14.371 14.371 14.371 -4.6 4.6 14.6903 14.6903 14.6903 -4.7 4.7 15.0097 15.0097 15.0097 -4.8 4.8 15.329 15.329 15.329 -4.9 4.9 15.6484 15.6484 15.6484 -5.0 5.0 15.9677 15.9677 15.9677 -5.1 5.1 16.2871 16.2871 16.2871 -5.2 5.2 16.6065 16.6065 16.6065 -5.3 5.3 16.9258 16.9258 16.9258 -5.4 5.4 17.2452 17.2452 17.2452 -5.5 5.5 17.5645 17.5645 17.5645 -5.6 5.6 17.8839 17.8839 17.8839 -5.7 5.7 18.2032 18.2032 18.2032 -5.8 5.8 18.5226 18.5226 18.5226 -5.9 5.9 18.8419 18.8419 18.8419 -6.0 6.0 19.1613 19.1613 19.1613 -6.1 6.1 19.4806 19.4806 19.4806 -6.2 6.2 19.8 19.8 19.8 -6.3 6.3 20.1194 20.1194 20.1194 -6.4 6.4 20.4387 20.4387 20.4387 -6.5 6.5 20.7581 20.7581 20.7581 -6.6 6.6 21.0774 21.0774 21.0774 -6.7 6.7 21.3968 21.3968 21.3968 -6.8 6.8 21.7161 21.7161 21.7161 -6.9 6.9 22.0355 22.0355 22.0355 -7.0 7.0 22.3548 22.3548 22.3548 -7.1 7.1 22.6742 22.6742 22.6742 -7.2 7.2 22.9935 22.9935 22.9935 -7.3 7.3 23.3129 23.3129 23.3129 -7.4 7.4 23.6323 23.6323 23.6323 -7.5 7.5 23.9516 23.9516 23.9516 -7.6 7.6 24.271 24.271 24.271 -7.7 7.7 24.5903 24.5903 24.5903 -7.8 7.8 24.9097 24.9097 24.9097 -7.9 7.9 25.229 25.229 25.229 -8.0 8.0 25.5484 25.5484 25.5484 -8.1 8.1 25.8677 25.8677 25.8677 -8.2 8.2 26.1871 26.1871 26.1871 -8.3 8.3 26.5065 26.5065 26.5065 -8.4 8.4 26.8258 26.8258 26.8258 -8.5 8.5 27.1452 27.1452 27.1452 -8.6 8.6 27.4645 27.4645 27.4645 -8.7 8.7 27.7839 27.7839 27.7839 -8.8 8.8 28.1032 28.1032 28.1032 -8.9 8.9 28.4226 28.4226 28.4226 -9.0 9.0 28.7419 28.7419 28.7419 -9.1 9.1 29.0613 29.0613 29.0613 -9.2 9.2 29.3806 29.3806 29.3806 -9.3 9.3 29.7 29.7 29.7 -9.4 9.4 30.0194 30.0194 30.0194 -9.5 9.5 30.3387 30.3387 30.3387 -9.6 9.6 30.6581 30.6581 30.6581 -9.7 9.7 30.9774 30.9774 30.9774 -9.8 9.8 31.2968 31.2968 31.2968 -9.9 9.9 31.6161 31.6161 31.6161 -10.0 10.0 31.9355 31.9355 31.9355 -10.1 10.1 32.2548 32.2548 32.2548 -10.2 10.2 32.5742 32.5742 32.5742 -10.3 10.3 32.8935 32.8935 32.8935 -10.4 10.4 33.2129 33.2129 33.2129 -10.5 10.5 33.5323 33.5323 33.5323 -10.6 10.6 33.8516 33.8516 33.8516 -10.7 10.7 34.171 34.171 34.171 -10.8 10.8 34.4903 34.4903 34.4903 -10.9 10.9 34.8097 34.8097 34.8097 -11.0 11.0 35.129 35.129 35.129 -11.1 11.1 35.4484 35.4484 35.4484 -11.2 11.2 35.7677 35.7677 35.7677 -11.3 11.3 36.0871 36.0871 36.0871 -11.4 11.4 36.4065 36.4065 36.4065 -11.5 11.5 36.7258 36.7258 36.7258 -11.6 11.6 37.0452 37.0452 37.0452 -11.7 11.7 37.3645 37.3645 37.3645 -11.8 11.8 37.6839 37.6839 37.6839 -11.9 11.9 38.0032 38.0032 38.0032 -12.0 12.0 38.3226 38.3226 38.3226 -12.1 12.1 38.6419 38.6419 38.6419 -12.2 12.2 38.9613 38.9613 38.9613 -12.3 12.3 39.2806 39.2806 39.2806 -12.4 12.4 39.6 39.6 39.6 -12.5 12.5 39.9194 39.9194 39.9194 -12.6 12.6 40.2387 40.2387 40.2387 -12.7 12.7 40.5581 40.5581 40.5581 -12.8 12.8 40.8774 40.8774 40.8774 -12.9 12.9 41.1968 41.1968 41.1968 -13.0 13.0 41.5161 41.5161 41.5161 -13.1 13.1 41.8355 41.8355 41.8355 -13.2 13.2 42.1548 42.1548 42.1548 -13.3 13.3 42.4742 42.4742 42.4742 -13.4 13.4 42.7935 42.7935 42.7935 -13.5 13.5 43.1129 43.1129 43.1129 -13.6 13.6 43.4323 43.4323 43.4323 -13.7 13.7 43.7516 43.7516 43.7516 -13.8 13.8 44.071 44.071 44.071 -13.9 13.9 44.3903 44.3903 44.3903 -14.0 14.0 44.7097 44.7097 44.7097 -14.1 14.1 45.029 45.029 45.029 -14.2 14.2 45.3484 45.3484 45.3484 -14.3 14.3 45.6677 45.6677 45.6677 -14.4 14.4 45.9871 45.9871 45.9871 -14.5 14.5 46.3065 46.3065 46.3065 -14.6 14.6 46.6258 46.6258 46.6258 -14.7 14.7 46.9452 46.9452 46.9452 -14.8 14.8 47.2645 47.2645 47.2645 -14.9 14.9 47.5839 47.5839 47.5839 -15.0 15.0 47.9032 47.9032 47.9032 -15.1 15.1 48.2226 48.2226 48.2226 -15.2 15.2 48.5419 48.5419 48.5419 -15.3 15.3 48.8613 48.8613 48.8613 -15.4 15.4 49.1806 49.1806 49.1806 -15.5 15.5 49.5 49.5 49.5 -15.6 15.6 49.8194 49.8194 49.8194 -15.7 15.7 50.1387 50.1387 50.1387 -15.8 15.8 50.4581 50.4581 50.4581 -15.9 15.9 50.7774 50.7774 50.7774 -16.0 16.0 51.0968 51.0968 51.0968 -16.1 16.1 51.4161 51.4161 51.4161 -16.2 16.2 51.7355 51.7355 51.7355 -16.3 16.3 52.0548 52.0548 52.0548 -16.4 16.4 52.3742 52.3742 52.3742 -16.5 16.5 52.6935 52.6935 52.6935 -16.6 16.6 53.0129 53.0129 53.0129 -16.7 16.7 53.3323 53.3323 53.3323 -16.8 16.8 53.6516 53.6516 53.6516 -16.9 16.9 53.971 53.971 53.971 -17.0 17.0 54.2903 54.2903 54.2903 -17.1 17.1 54.6097 54.6097 54.6097 -17.2 17.2 54.929 54.929 54.929 -17.3 17.3 55.2484 55.2484 55.2484 -17.4 17.4 55.5677 55.5677 55.5677 -17.5 17.5 55.8871 55.8871 55.8871 -17.6 17.6 56.2065 56.2065 56.2065 -17.7 17.7 56.5258 56.5258 56.5258 -17.8 17.8 56.8452 56.8452 56.8452 -17.9 17.9 57.1645 57.1645 57.1645 -18.0 18.0 57.4839 57.4839 57.4839 -18.1 18.1 57.8032 57.8032 57.8032 -18.2 18.2 58.1226 58.1226 58.1226 -18.3 18.3 58.4419 58.4419 58.4419 -18.4 18.4 58.7613 58.7613 58.7613 -18.5 18.5 59.0806 59.0806 59.0806 -18.6 18.6 59.4 59.4 59.4 -18.7 18.7 59.7194 59.7194 59.7194 -18.8 18.8 60.0387 60.0387 60.0387 -18.9 18.9 60.3581 60.3581 60.3581 -19.0 19.0 60.6774 60.6774 60.6774 -19.1 19.1 60.9968 60.9968 60.9968 -19.2 19.2 61.3161 61.3161 61.3161 -19.3 19.3 61.6355 61.6355 61.6355 -19.4 19.4 61.9548 61.9548 61.9548 -19.5 19.5 62.2742 62.2742 62.2742 -19.6 19.6 62.5935 62.5935 62.5935 -19.7 19.7 62.9129 62.9129 62.9129 -19.8 19.8 63.2323 63.2323 63.2323 -19.9 19.9 63.5516 63.5516 63.5516 -20.0 20.0 63.871 63.871 63.871 -20.1 20.1 64.1903 64.1903 64.1903 -20.2 20.2 64.5097 64.5097 64.5097 -20.3 20.3 64.829 64.829 64.829 -20.4 20.4 65.1484 65.1484 65.1484 -20.5 20.5 65.4677 65.4677 65.4677 -20.6 20.6 65.7871 65.7871 65.7871 -20.7 20.7 66.1065 66.1065 66.1065 -20.8 20.8 66.4258 66.4258 66.4258 -20.9 20.9 66.7452 66.7452 66.7452 -21.0 21.0 67.0645 67.0645 67.0645 -21.1 21.1 67.3839 67.3839 67.3839 -21.2 21.2 67.7032 67.7032 67.7032 -21.3 21.3 68.0226 68.0226 68.0226 -21.4 21.4 68.3419 68.3419 68.3419 -21.5 21.5 68.6613 68.6613 68.6613 -21.6 21.6 68.9806 68.9806 68.9806 -21.7 21.7 69.3 69.3 69.3 -21.8 21.8 69.6194 69.6194 69.6194 -21.9 21.9 69.9387 69.9387 69.9387 -22.0 22.0 70.2581 70.2581 70.2581 -22.1 22.1 70.5774 70.5774 70.5774 -22.2 22.2 70.8968 70.8968 70.8968 -22.3 22.3 71.2161 71.2161 71.2161 -22.4 22.4 71.5355 71.5355 71.5355 -22.5 22.5 71.8548 71.8548 71.8548 -22.6 22.6 72.1742 72.1742 72.1742 -22.7 22.7 72.4935 72.4935 72.4935 -22.8 22.8 72.8129 72.8129 72.8129 -22.9 22.9 73.1323 73.1323 73.1323 -23.0 23.0 73.4516 73.4516 73.4516 -23.1 23.1 73.771 73.771 73.771 -23.2 23.2 74.0903 74.0903 74.0903 -23.3 23.3 74.4097 74.4097 74.4097 -23.4 23.4 74.729 74.729 74.729 -23.5 23.5 75.0484 75.0484 75.0484 -23.6 23.6 75.3677 75.3677 75.3677 -23.7 23.7 75.6871 75.6871 75.6871 -23.8 23.8 76.0065 76.0065 76.0065 -23.9 23.9 76.3258 76.3258 76.3258 -24.0 24.0 76.6452 76.6452 76.6452 -24.1 24.1 76.9645 76.9645 76.9645 -24.2 24.2 77.2839 77.2839 77.2839 -24.3 24.3 77.6032 77.6032 77.6032 -24.4 24.4 77.9226 77.9226 77.9226 -24.5 24.5 78.2419 78.2419 78.2419 -24.6 24.6 78.5613 78.5613 78.5613 -24.7 24.7 78.8806 78.8806 78.8806 -24.8 24.8 79.2 79.2 79.2 -24.9 24.9 79.5194 79.5194 79.5194 -25.0 25.0 79.8387 79.8387 79.8387 -25.1 25.1 80.1581 80.1581 80.1581 -25.2 25.2 80.4774 80.4774 80.4774 -25.3 25.3 80.7968 80.7968 80.7968 -25.4 25.4 81.1161 81.1161 81.1161 -25.5 25.5 81.4355 81.4355 81.4355 -25.6 25.6 81.7548 81.7548 81.7548 -25.7 25.7 82.0742 82.0742 82.0742 -25.8 25.8 82.3935 82.3935 82.3935 -25.9 25.9 82.7129 82.7129 82.7129 -26.0 26.0 83.0323 83.0323 83.0323 -26.1 26.1 83.3516 83.3516 83.3516 -26.2 26.2 83.671 83.671 83.671 -26.3 26.3 83.9903 83.9903 83.9903 -26.4 26.4 84.3097 84.3097 84.3097 -26.5 26.5 84.629 84.629 84.629 -26.6 26.6 84.9484 84.9484 84.9484 -26.7 26.7 85.2677 85.2677 85.2677 -26.8 26.8 85.5871 85.5871 85.5871 -26.9 26.9 85.9065 85.9065 85.9065 -27.0 27.0 86.2258 86.2258 86.2258 -27.1 27.1 86.5452 86.5452 86.5452 -27.2 27.2 86.8645 86.8645 86.8645 -27.3 27.3 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-92.4 92.4 100 100 100 -92.5 92.5 100 100 100 -92.6 92.6 100 100 100 -92.7 92.7 100 100 100 -92.8 92.8 100 100 100 -92.9 92.9 100 100 100 -93.0 93.0 100 100 100 -93.1 93.1 100 100 100 -93.2 93.2 100 100 100 -93.3 93.3 100 100 100 -93.4 93.4 100 100 100 -93.5 93.5 100 100 100 -93.6 93.6 100 100 100 -93.7 93.7 100 100 100 -93.8 93.8 100 100 100 -93.9 93.9 100 100 100 -94.0 94.0 100 100 100 -94.1 94.1 100 100 100 -94.2 94.2 100 100 100 -94.3 94.3 100 100 100 -94.4 94.4 100 100 100 -94.5 94.5 100 100 100 -94.6 94.6 100 100 100 -94.7 94.7 100 100 100 -94.8 94.8 100 100 100 -94.9 94.9 100 100 100 -95.0 95.0 100 100 100 -95.1 95.1 100 100 100 -95.2 95.2 100 100 100 -95.3 95.3 100 100 100 -95.4 95.4 100 100 100 -95.5 95.5 100 100 100 -95.6 95.6 100 100 100 -95.7 95.7 100 100 100 -95.8 95.8 100 100 100 -95.9 95.9 100 100 100 -96.0 96.0 100 100 100 -96.1 96.1 100 100 100 -96.2 96.2 100 100 100 -96.3 96.3 100 100 100 -96.4 96.4 100 100 100 -96.5 96.5 100 100 100 -96.6 96.6 100 100 100 -96.7 96.7 100 100 100 -96.8 96.8 100 100 100 -96.9 96.9 100 100 100 -97.0 97.0 100 100 100 -97.1 97.1 100 100 100 -97.2 97.2 100 100 100 -97.3 97.3 100 100 100 -97.4 97.4 100 100 100 -97.5 97.5 100 100 100 -97.6 97.6 100 100 100 -97.7 97.7 100 100 100 -97.8 97.8 100 100 100 -97.9 97.9 100 100 100 -98.0 98.0 100 100 100 -98.1 98.1 100 100 100 -98.2 98.2 100 100 100 -98.3 98.3 100 100 100 -98.4 98.4 100 100 100 -98.5 98.5 100 100 100 -98.6 98.6 100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 - - -Report Evaluation Test - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 51 -Learning task Classification analysis -Target variable Class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.979458 1 -R2 Classifier Univariate Univariate SPetalLength 0.901961 0.704425 0.95993 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 13 0 -$Iris-virginica 0 0 19 - -Rank R2 - -Confusion matrix - Iris-setosa Iris-versicolor Iris-virginica -$Iris-setosa 19 0 0 -$Iris-versicolor 0 12 4 -$Iris-virginica 0 1 15 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Value group {Iris-versicolor} {Iris-setosa} {Iris-virginica} Interest -{4, 3} 12 0 4 0.266843 -{1} 0 19 0 0.44088 -{5, 6} 1 0 15 0.292278 - -Lift curves Iris-setosa -Size Random Optimal Selective Naive Bayes Univariate SPetalLength -0.0 0.0 0 0 0 -0.1 0.1 0.268421 0.268421 0.268421 -0.2 0.2 0.536842 0.536842 0.536842 -0.3 0.3 0.805263 0.805263 0.805263 -0.4 0.4 1.07368 1.07368 1.07368 -0.5 0.5 1.34211 1.34211 1.34211 -0.6 0.6 1.61053 1.61053 1.61053 -0.7 0.7 1.87895 1.87895 1.87895 -0.8 0.8 2.14737 2.14737 2.14737 -0.9 0.9 2.41579 2.41579 2.41579 -1.0 1.0 2.68421 2.68421 2.68421 -1.1 1.1 2.95263 2.95263 2.95263 -1.2 1.2 3.22105 3.22105 3.22105 -1.3 1.3 3.48947 3.48947 3.48947 -1.4 1.4 3.75789 3.75789 3.75789 -1.5 1.5 4.02632 4.02632 4.02632 -1.6 1.6 4.29474 4.29474 4.29474 -1.7 1.7 4.56316 4.56316 4.56316 -1.8 1.8 4.83158 4.83158 4.83158 -1.9 1.9 5.1 5.1 5.1 -2.0 2.0 5.36842 5.36842 5.36842 -2.1 2.1 5.63684 5.63684 5.63684 -2.2 2.2 5.90526 5.90526 5.90526 -2.3 2.3 6.17368 6.17368 6.17368 -2.4 2.4 6.44211 6.44211 6.44211 -2.5 2.5 6.71053 6.71053 6.71053 -2.6 2.6 6.97895 6.97895 6.97895 -2.7 2.7 7.24737 7.24737 7.24737 -2.8 2.8 7.51579 7.51579 7.51579 -2.9 2.9 7.78421 7.78421 7.78421 -3.0 3.0 8.05263 8.05263 8.05263 -3.1 3.1 8.32105 8.32105 8.32105 -3.2 3.2 8.58947 8.58947 8.58947 -3.3 3.3 8.85789 8.85789 8.85789 -3.4 3.4 9.12632 9.12632 9.12632 -3.5 3.5 9.39474 9.39474 9.39474 -3.6 3.6 9.66316 9.66316 9.66316 -3.7 3.7 9.93158 9.93158 9.93158 -3.8 3.8 10.2 10.2 10.2 -3.9 3.9 10.4684 10.4684 10.4684 -4.0 4.0 10.7368 10.7368 10.7368 -4.1 4.1 11.0053 11.0053 11.0053 -4.2 4.2 11.2737 11.2737 11.2737 -4.3 4.3 11.5421 11.5421 11.5421 -4.4 4.4 11.8105 11.8105 11.8105 -4.5 4.5 12.0789 12.0789 12.0789 -4.6 4.6 12.3474 12.3474 12.3474 -4.7 4.7 12.6158 12.6158 12.6158 -4.8 4.8 12.8842 12.8842 12.8842 -4.9 4.9 13.1526 13.1526 13.1526 -5.0 5.0 13.4211 13.4211 13.4211 -5.1 5.1 13.6895 13.6895 13.6895 -5.2 5.2 13.9579 13.9579 13.9579 -5.3 5.3 14.2263 14.2263 14.2263 -5.4 5.4 14.4947 14.4947 14.4947 -5.5 5.5 14.7632 14.7632 14.7632 -5.6 5.6 15.0316 15.0316 15.0316 -5.7 5.7 15.3 15.3 15.3 -5.8 5.8 15.5684 15.5684 15.5684 -5.9 5.9 15.8368 15.8368 15.8368 -6.0 6.0 16.1053 16.1053 16.1053 -6.1 6.1 16.3737 16.3737 16.3737 -6.2 6.2 16.6421 16.6421 16.6421 -6.3 6.3 16.9105 16.9105 16.9105 -6.4 6.4 17.1789 17.1789 17.1789 -6.5 6.5 17.4474 17.4474 17.4474 -6.6 6.6 17.7158 17.7158 17.7158 -6.7 6.7 17.9842 17.9842 17.9842 -6.8 6.8 18.2526 18.2526 18.2526 -6.9 6.9 18.5211 18.5211 18.5211 -7.0 7.0 18.7895 18.7895 18.7895 -7.1 7.1 19.0579 19.0579 19.0579 -7.2 7.2 19.3263 19.3263 19.3263 -7.3 7.3 19.5947 19.5947 19.5947 -7.4 7.4 19.8632 19.8632 19.8632 -7.5 7.5 20.1316 20.1316 20.1316 -7.6 7.6 20.4 20.4 20.4 -7.7 7.7 20.6684 20.6684 20.6684 -7.8 7.8 20.9368 20.9368 20.9368 -7.9 7.9 21.2053 21.2053 21.2053 -8.0 8.0 21.4737 21.4737 21.4737 -8.1 8.1 21.7421 21.7421 21.7421 -8.2 8.2 22.0105 22.0105 22.0105 -8.3 8.3 22.2789 22.2789 22.2789 -8.4 8.4 22.5474 22.5474 22.5474 -8.5 8.5 22.8158 22.8158 22.8158 -8.6 8.6 23.0842 23.0842 23.0842 -8.7 8.7 23.3526 23.3526 23.3526 -8.8 8.8 23.6211 23.6211 23.6211 -8.9 8.9 23.8895 23.8895 23.8895 -9.0 9.0 24.1579 24.1579 24.1579 -9.1 9.1 24.4263 24.4263 24.4263 -9.2 9.2 24.6947 24.6947 24.6947 -9.3 9.3 24.9632 24.9632 24.9632 -9.4 9.4 25.2316 25.2316 25.2316 -9.5 9.5 25.5 25.5 25.5 -9.6 9.6 25.7684 25.7684 25.7684 -9.7 9.7 26.0368 26.0368 26.0368 -9.8 9.8 26.3053 26.3053 26.3053 -9.9 9.9 26.5737 26.5737 26.5737 -10.0 10.0 26.8421 26.8421 26.8421 -10.1 10.1 27.1105 27.1105 27.1105 -10.2 10.2 27.3789 27.3789 27.3789 -10.3 10.3 27.6474 27.6474 27.6474 -10.4 10.4 27.9158 27.9158 27.9158 -10.5 10.5 28.1842 28.1842 28.1842 -10.6 10.6 28.4526 28.4526 28.4526 -10.7 10.7 28.7211 28.7211 28.7211 -10.8 10.8 28.9895 28.9895 28.9895 -10.9 10.9 29.2579 29.2579 29.2579 -11.0 11.0 29.5263 29.5263 29.5263 -11.1 11.1 29.7947 29.7947 29.7947 -11.2 11.2 30.0632 30.0632 30.0632 -11.3 11.3 30.3316 30.3316 30.3316 -11.4 11.4 30.6 30.6 30.6 -11.5 11.5 30.8684 30.8684 30.8684 -11.6 11.6 31.1368 31.1368 31.1368 -11.7 11.7 31.4053 31.4053 31.4053 -11.8 11.8 31.6737 31.6737 31.6737 -11.9 11.9 31.9421 31.9421 31.9421 -12.0 12.0 32.2105 32.2105 32.2105 -12.1 12.1 32.4789 32.4789 32.4789 -12.2 12.2 32.7474 32.7474 32.7474 -12.3 12.3 33.0158 33.0158 33.0158 -12.4 12.4 33.2842 33.2842 33.2842 -12.5 12.5 33.5526 33.5526 33.5526 -12.6 12.6 33.8211 33.8211 33.8211 -12.7 12.7 34.0895 34.0895 34.0895 -12.8 12.8 34.3579 34.3579 34.3579 -12.9 12.9 34.6263 34.6263 34.6263 -13.0 13.0 34.8947 34.8947 34.8947 -13.1 13.1 35.1632 35.1632 35.1632 -13.2 13.2 35.4316 35.4316 35.4316 -13.3 13.3 35.7 35.7 35.7 -13.4 13.4 35.9684 35.9684 35.9684 -13.5 13.5 36.2368 36.2368 36.2368 -13.6 13.6 36.5053 36.5053 36.5053 -13.7 13.7 36.7737 36.7737 36.7737 -13.8 13.8 37.0421 37.0421 37.0421 -13.9 13.9 37.3105 37.3105 37.3105 -14.0 14.0 37.5789 37.5789 37.5789 -14.1 14.1 37.8474 37.8474 37.8474 -14.2 14.2 38.1158 38.1158 38.1158 -14.3 14.3 38.3842 38.3842 38.3842 -14.4 14.4 38.6526 38.6526 38.6526 -14.5 14.5 38.9211 38.9211 38.9211 -14.6 14.6 39.1895 39.1895 39.1895 -14.7 14.7 39.4579 39.4579 39.4579 -14.8 14.8 39.7263 39.7263 39.7263 -14.9 14.9 39.9947 39.9947 39.9947 -15.0 15.0 40.2632 40.2632 40.2632 -15.1 15.1 40.5316 40.5316 40.5316 -15.2 15.2 40.8 40.8 40.8 -15.3 15.3 41.0684 41.0684 41.0684 -15.4 15.4 41.3368 41.3368 41.3368 -15.5 15.5 41.6053 41.6053 41.6053 -15.6 15.6 41.8737 41.8737 41.8737 -15.7 15.7 42.1421 42.1421 42.1421 -15.8 15.8 42.4105 42.4105 42.4105 -15.9 15.9 42.6789 42.6789 42.6789 -16.0 16.0 42.9474 42.9474 42.9474 -16.1 16.1 43.2158 43.2158 43.2158 -16.2 16.2 43.4842 43.4842 43.4842 -16.3 16.3 43.7526 43.7526 43.7526 -16.4 16.4 44.0211 44.0211 44.0211 -16.5 16.5 44.2895 44.2895 44.2895 -16.6 16.6 44.5579 44.5579 44.5579 -16.7 16.7 44.8263 44.8263 44.8263 -16.8 16.8 45.0947 45.0947 45.0947 -16.9 16.9 45.3632 45.3632 45.3632 -17.0 17.0 45.6316 45.6316 45.6316 -17.1 17.1 45.9 45.9 45.9 -17.2 17.2 46.1684 46.1684 46.1684 -17.3 17.3 46.4368 46.4368 46.4368 -17.4 17.4 46.7053 46.7053 46.7053 -17.5 17.5 46.9737 46.9737 46.9737 -17.6 17.6 47.2421 47.2421 47.2421 -17.7 17.7 47.5105 47.5105 47.5105 -17.8 17.8 47.7789 47.7789 47.7789 -17.9 17.9 48.0474 48.0474 48.0474 -18.0 18.0 48.3158 48.3158 48.3158 -18.1 18.1 48.5842 48.5842 48.5842 -18.2 18.2 48.8526 48.8526 48.8526 -18.3 18.3 49.1211 49.1211 49.1211 -18.4 18.4 49.3895 49.3895 49.3895 -18.5 18.5 49.6579 49.6579 49.6579 -18.6 18.6 49.9263 49.9263 49.9263 -18.7 18.7 50.1947 50.1947 50.1947 -18.8 18.8 50.4632 50.4632 50.4632 -18.9 18.9 50.7316 50.7316 50.7316 -19.0 19.0 51 51 51 -19.1 19.1 51.2684 51.2684 51.2684 -19.2 19.2 51.5368 51.5368 51.5368 -19.3 19.3 51.8053 51.8053 51.8053 -19.4 19.4 52.0737 52.0737 52.0737 -19.5 19.5 52.3421 52.3421 52.3421 -19.6 19.6 52.6105 52.6105 52.6105 -19.7 19.7 52.8789 52.8789 52.8789 -19.8 19.8 53.1474 53.1474 53.1474 -19.9 19.9 53.4158 53.4158 53.4158 -20.0 20.0 53.6842 53.6842 53.6842 -20.1 20.1 53.9526 53.9526 53.9526 -20.2 20.2 54.2211 54.2211 54.2211 -20.3 20.3 54.4895 54.4895 54.4895 -20.4 20.4 54.7579 54.7579 54.7579 -20.5 20.5 55.0263 55.0263 55.0263 -20.6 20.6 55.2947 55.2947 55.2947 -20.7 20.7 55.5632 55.5632 55.5632 -20.8 20.8 55.8316 55.8316 55.8316 -20.9 20.9 56.1 56.1 56.1 -21.0 21.0 56.3684 56.3684 56.3684 -21.1 21.1 56.6368 56.6368 56.6368 -21.2 21.2 56.9053 56.9053 56.9053 -21.3 21.3 57.1737 57.1737 57.1737 -21.4 21.4 57.4421 57.4421 57.4421 -21.5 21.5 57.7105 57.7105 57.7105 -21.6 21.6 57.9789 57.9789 57.9789 -21.7 21.7 58.2474 58.2474 58.2474 -21.8 21.8 58.5158 58.5158 58.5158 -21.9 21.9 58.7842 58.7842 58.7842 -22.0 22.0 59.0526 59.0526 59.0526 -22.1 22.1 59.3211 59.3211 59.3211 -22.2 22.2 59.5895 59.5895 59.5895 -22.3 22.3 59.8579 59.8579 59.8579 -22.4 22.4 60.1263 60.1263 60.1263 -22.5 22.5 60.3947 60.3947 60.3947 -22.6 22.6 60.6632 60.6632 60.6632 -22.7 22.7 60.9316 60.9316 60.9316 -22.8 22.8 61.2 61.2 61.2 -22.9 22.9 61.4684 61.4684 61.4684 -23.0 23.0 61.7368 61.7368 61.7368 -23.1 23.1 62.0053 62.0053 62.0053 -23.2 23.2 62.2737 62.2737 62.2737 -23.3 23.3 62.5421 62.5421 62.5421 -23.4 23.4 62.8105 62.8105 62.8105 -23.5 23.5 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100 100 100 -96.8 96.8 100 100 100 -96.9 96.9 100 100 100 -97.0 97.0 100 100 100 -97.1 97.1 100 100 100 -97.2 97.2 100 100 100 -97.3 97.3 100 100 100 -97.4 97.4 100 100 100 -97.5 97.5 100 100 100 -97.6 97.6 100 100 100 -97.7 97.7 100 100 100 -97.8 97.8 100 100 100 -97.9 97.9 100 100 100 -98.0 98.0 100 100 100 -98.1 98.1 100 100 100 -98.2 98.2 100 100 100 -98.3 98.3 100 100 100 -98.4 98.4 100 100 100 -98.5 98.5 100 100 100 -98.6 98.6 100 100 100 -98.7 98.7 100 100 100 -98.8 98.8 100 100 100 -98.9 98.9 100 100 100 -99.0 99.0 100 100 100 -99.1 99.1 100 100 100 -99.2 99.2 100 100 100 -99.3 99.3 100 100 100 -99.4 99.4 100 100 100 -99.5 99.5 100 100 100 -99.6 99.6 100 100 100 -99.7 99.7 100 100 100 -99.8 99.8 100 100 100 -99.9 99.9 100 100 100 -100.0 100.0 100 100 100 diff --git a/tests/resources/analysis_results/ref_reports/IrisR.txt b/tests/resources/analysis_results/ref_reports/IrisR.txt deleted file mode 100644 index eb77098f..00000000 --- a/tests/resources/analysis_results/ref_reports/IrisR.txt +++ /dev/null @@ -1,2356 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Regression analysis -Target variable PetalLength -Target descriptive stats - Values 36 - Min 1 - Max 6.9 - Mean 3.801010101 - Std dev 1.712137004 - Missing number 0 -Evaluated variables 11 -Informative variables 9 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 0 - Data cost 359.134 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 SPetalLength Categorical 0.203117 5 5 5 4 32 3.09104 56.056 227.593 AsCategorical(Floor(PetalLength)) -R02 Class Categorical 0.180945 3 3 3 Iris-versicolor 37 3.09104 27.4153 264.212 -R03 PetalWidth Numerical 0.151716 3 3 20 0.1 2.5 1.218181818 0.749863777 0 3.09104 33.7898 268.355 -R04 LowerPetalLength Numerical 0.139383 3 3 9 1 3 2.517171717 0.7226550938 0 3.09104 26.055 280.528 If(LE(PetalLength, 3), PetalLength, 3) -R05 Class1 Categorical 0.120688 2 2 2 68 3.09104 13.2609 300.049 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R06 SepalLength Numerical 0.0897429 3 3 30 4.3 7.7 5.848484848 0.8065844732 0 3.09104 24.3655 300.079 -R07 Class2 Categorical 0.0871851 3 2 2 62 3.09104 20.4711 304.894 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R08 UpperPetalWidth Numerical 0.0792322 2 2 11 1.5 2.5 1.681818182 0.2962266524 0 3.09104 9.22257 319.004 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) -R09 SepalWidth Numerical 0.0235955 2 2 22 2 4.4 3.042424242 0.4422374035 0 3.09104 11.3418 336.904 -R10 Dummy1 Numerical 0 1 1 1 0 0 0 0 0 0.693147 0 359.134 Copy(0) -R11 Dummy2 Numerical 0 1 1 99 0.01372010867 0.9853969761 0.5371015665 0.2836682962 0 0.693147 0 359.134 Random() - -Detailed variable statistics - -Rank R01 SPetalLength Categorical - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4} 4 - {1} 1 - {5} 5 - {3} 3 - {6} 6 * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;3.95] 2.4 3.95 - ]3.95;4.95] 3.95 4.95 - ]4.95;5.95] 4.95 5.95 - ]5.95;+inf[ 5.95 6.9 -Cells -Value group ]-inf;2.4] ]2.4;3.95] ]3.95;4.95] ]4.95;5.95] ]5.95;+inf[ Interest -{4} 0 0 32 0 0 0.258541 -{1} 31 0 0 0 0 0.257503 -{5} 0 0 0 24 0 0.243299 -{3} 0 6 0 0 0 0.120329 -{6} 0 0 0 0 6 0.120329 - -Input values - 4 32 - 1 31 - 5 24 - 3 6 - 6 6 - -Rank R02 Class Categorical - -Data grid Supervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Value group ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Interest -{Iris-versicolor} 0 34 3 0.296484 -{Iris-setosa} 31 0 0 0.366329 -{Iris-virginica} 0 0 31 0.337186 - -Input values - Iris-versicolor 37 - Iris-setosa 31 - Iris-virginica 31 - -Rank R03 PetalWidth Numerical - -Data grid Supervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.65] 0.7 1.65 - ]1.65;+inf[ 1.65 2.5 -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.75] 2.4 4.75 - ]4.75;+inf[ 4.75 6.9 -Cells -Interval ]-inf;2.4] ]2.4;4.75] ]4.75;+inf[ Interest -]-inf;0.7] 31 0 0 0.383335 -]0.7;1.65] 0 32 5 0.282696 -]1.65;+inf[ 0 0 31 0.333969 - -Rank R04 LowerPetalLength Numerical - -Data grid Supervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 3 -PetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Interval ]-inf;1.45] ]1.45;2.4] ]2.4;+inf[ Interest -]-inf;1.45] 16 0 0 0.351297 -]1.45;2.4] 0 15 0 0.341003 -]2.4;+inf[ 0 0 68 0.3077 - -Rank R05 Class1 Categorical - -Data grid Supervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Value group ]-inf;2.4] ]2.4;+inf[ Interest -{} 0 68 0.415063 -{setosa} 31 0 0.584937 - -Input values - 68 - setosa 31 - -Rank R06 SepalLength Numerical - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.15] 4.3 5.15 - ]5.15;5.75] 5.15 5.75 - ]5.75;+inf[ 5.75 7.7 -PetalLength Numerical Intervals - ]-inf;3.65] 1 3.65 - ]3.65;4.55] 3.65 4.55 - ]4.55;+inf[ 4.55 6.9 -Cells -Interval ]-inf;3.65] ]3.65;4.55] ]4.55;+inf[ Interest -]-inf;5.15] 23 0 0 0.416542 -]5.15;5.75] 11 12 1 0.170331 -]5.75;+inf[ 0 11 41 0.413128 - -Rank R07 Class2 Categorical - -Data grid Supervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Value group ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Interest -{} 31 0 31 0.473042 -{versicolor} 0 34 3 0.526958 - -Input values - 62 - versicolor 37 - -Rank R08 UpperPetalWidth Numerical - -Data grid Supervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -PetalLength Numerical Intervals - ]-inf;4.75] 1 4.75 - ]4.75;+inf[ 4.75 6.9 -Cells -Interval ]-inf;4.75] ]4.75;+inf[ Interest -]-inf;1.55] 61 5 0.376437 -]1.55;+inf[ 2 31 0.623563 - -Rank R09 SepalWidth Numerical - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Interval ]-inf;2.4] ]2.4;+inf[ Interest -]-inf;3.35] 11 65 0.271773 -]3.35;+inf[ 20 3 0.728227 - - -Report Modeling - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Regression analysis -Target variable PetalLength - -Trained predictors -Rank Type Family Name Variables -R1 Regressor Selective Naive Bayes Selective Naive Bayes 5 -R2 Regressor Univariate Univariate SPetalLength 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PSPetalLength SPetalLength 0.203117 0.476562 0.311123 -PLowerPetalLength LowerPetalLength 0.139383 0.414062 0.240236 -PPetalWidth PetalWidth 0.151716 0.164062 0.157768 -PSepalLength SepalLength 0.0897429 0.257812 0.152108 -PClass2 Class2 0.0871851 0.148438 0.113761 - - -Report Evaluation Train - -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Regression analysis -Target variable PetalLength - -Predictors performance -Rank Type Family Name RMSE MAE NLPD RankRMSE RankMAE RankNLPD -R1 Regressor Selective Naive Bayes Selective Naive Bayes 0.240652 0.195078 -0.413359 0.0618349 0.0512148 -1.66494 -R2 Regressor Univariate Univariate SPetalLength 0.278657 0.226246 -0.154735 0.0800942 0.0670138 -1.40631 - -Predictors detailed performance - -Rank R2 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4} 4 - {1} 1 - {5} 5 - {3} 3 - {6} 6 * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;3.95] 2.4 3.95 - ]3.95;4.95] 3.95 4.95 - ]4.95;5.95] 4.95 5.95 - ]5.95;+inf[ 5.95 6.9 -Cells -Value group ]-inf;2.4] ]2.4;3.95] ]3.95;4.95] ]4.95;5.95] ]5.95;+inf[ Interest -{4} 0 0 32 0 0 0.258541 -{1} 31 0 0 0 0 0.257503 -{5} 0 0 0 24 0 0.243299 -{3} 0 6 0 0 0 0.120329 -{6} 0 0 0 0 6 0.120329 - -REC curves -Size Selective Naive Bayes Univariate SPetalLength -0.0 0 0 -0.1 0 1.0101 -0.2 2.0202 1.0101 -0.3 2.0202 4.0404 -0.4 4.0404 4.0404 -0.5 4.0404 4.0404 -0.6 4.0404 4.0404 -0.7 4.0404 4.0404 -0.8 5.05051 4.0404 -0.9 5.05051 4.0404 -1.0 5.05051 4.0404 -1.1 7.07071 4.0404 -1.2 7.07071 4.0404 -1.3 8.08081 6.06061 -1.4 8.08081 6.06061 -1.5 8.08081 8.08081 -1.6 11.1111 15.1515 -1.7 12.1212 15.1515 -1.8 12.1212 18.1818 -1.9 13.1313 20.202 -2.0 15.1515 20.202 -2.1 15.1515 20.202 -2.2 15.1515 20.202 -2.3 15.1515 20.202 -2.4 16.1616 20.202 -2.5 18.1818 20.202 -2.6 19.1919 23.2323 -2.7 31.3131 23.2323 -2.8 32.3232 24.2424 -2.9 32.3232 24.2424 -3.0 40.404 24.2424 -3.1 40.404 25.2525 -3.2 42.4242 25.2525 -3.3 42.4242 27.2727 -3.4 44.4444 27.2727 -3.5 44.4444 27.2727 -3.6 44.4444 27.2727 -3.7 44.4444 27.2727 -3.8 44.4444 27.2727 -3.9 44.4444 27.2727 -4.0 44.4444 27.2727 -4.1 45.4545 27.2727 -4.2 45.4545 27.2727 -4.3 45.4545 36.3636 -4.4 48.4848 44.4444 -4.5 53.5354 44.4444 -4.6 53.5354 44.4444 -4.7 53.5354 44.4444 -4.8 55.5556 44.4444 -4.9 56.5657 44.4444 -5.0 58.5859 44.4444 -5.1 58.5859 48.4848 -5.2 62.6263 48.4848 -5.3 62.6263 48.4848 -5.4 62.6263 48.4848 -5.5 62.6263 48.4848 -5.6 63.6364 48.4848 -5.7 67.6768 48.4848 -5.8 67.6768 51.5152 -5.9 67.6768 57.5758 -6.0 72.7273 57.5758 -6.1 72.7273 57.5758 -6.2 72.7273 57.5758 -6.3 72.7273 57.5758 -6.4 72.7273 57.5758 -6.5 72.7273 57.5758 -6.6 72.7273 57.5758 -6.7 72.7273 57.5758 -6.8 73.7374 57.5758 -6.9 73.7374 57.5758 -7.0 73.7374 57.5758 -7.1 73.7374 57.5758 -7.2 75.7576 57.5758 -7.3 75.7576 57.5758 -7.4 77.7778 57.5758 -7.5 78.7879 57.5758 -7.6 78.7879 60.6061 -7.7 78.7879 60.6061 -7.8 78.7879 60.6061 -7.9 78.7879 60.6061 -8.0 78.7879 60.6061 -8.1 78.7879 64.6465 -8.2 84.8485 64.6465 -8.3 84.8485 66.6667 -8.4 84.8485 66.6667 -8.5 85.8586 66.6667 -8.6 85.8586 66.6667 -8.7 85.8586 66.6667 -8.8 85.8586 66.6667 -8.9 85.8586 66.6667 -9.0 85.8586 66.6667 -9.1 85.8586 66.6667 -9.2 85.8586 66.6667 -9.3 85.8586 66.6667 -9.4 85.8586 66.6667 -9.5 85.8586 66.6667 -9.6 85.8586 66.6667 -9.7 85.8586 66.6667 -9.8 85.8586 66.6667 -9.9 85.8586 69.697 -10.0 85.8586 69.697 -10.1 85.8586 69.697 -10.2 86.8687 69.697 -10.3 89.899 69.697 -10.4 89.899 74.7475 -10.5 90.9091 74.7475 -10.6 91.9192 77.7778 -10.7 91.9192 77.7778 -10.8 91.9192 77.7778 -10.9 92.9293 77.7778 -11.0 92.9293 77.7778 -11.1 92.9293 77.7778 -11.2 93.9394 79.798 -11.3 93.9394 79.798 -11.4 93.9394 84.8485 -11.5 93.9394 84.8485 -11.6 93.9394 84.8485 -11.7 93.9394 84.8485 -11.8 94.9495 84.8485 -11.9 94.9495 85.8586 -12.0 94.9495 85.8586 -12.1 94.9495 85.8586 -12.2 94.9495 85.8586 -12.3 94.9495 85.8586 -12.4 94.9495 87.8788 -12.5 94.9495 87.8788 -12.6 94.9495 87.8788 -12.7 94.9495 87.8788 -12.8 94.9495 87.8788 -12.9 94.9495 87.8788 -13.0 94.9495 87.8788 -13.1 94.9495 87.8788 -13.2 94.9495 87.8788 -13.3 94.9495 87.8788 -13.4 94.9495 87.8788 -13.5 94.9495 87.8788 -13.6 94.9495 87.8788 -13.7 94.9495 87.8788 -13.8 94.9495 87.8788 -13.9 94.9495 87.8788 -14.0 94.9495 87.8788 -14.1 97.9798 87.8788 -14.2 97.9798 95.9596 -14.3 100 95.9596 -14.4 100 96.9697 -14.5 100 98.9899 -14.6 100 98.9899 -14.7 100 98.9899 -14.8 100 98.9899 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-Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 51 -Learning task Regression analysis -Target variable PetalLength - -Predictors performance -Rank Type Family Name RMSE MAE NLPD RankRMSE RankMAE RankNLPD -R1 Regressor Selective Naive Bayes Selective Naive Bayes 0.20115 0.157079 -0.329867 0.0519631 0.0438059 -1.81277 -R2 Regressor Univariate Univariate SPetalLength 0.257277 0.20697 -0.0424382 0.0761558 0.0617964 -1.52535 - -Predictors detailed performance - -Rank R2 - -Data grid Supervised -Dimensions -SPetalLength Categorical Value groups - {4} 4 - {1} 1 - {5} 5 - {3} 3 - {6} 6 * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;3.95] 2.4 3.95 - ]3.95;4.95] 3.95 4.95 - ]4.95;5.95] 4.95 5.95 - ]5.95;+inf[ 5.95 6.9 -Cells -Value group ]-inf;2.4] ]2.4;3.95] ]3.95;4.95] ]4.95;5.95] ]5.95;+inf[ Interest -{4} 0 0 11 0 0 0.222806 -{1} 19 0 0 0 0 0.247724 -{5} 0 0 0 11 0 0.222806 -{3} 0 5 0 0 0 0.153332 -{6} 0 0 0 0 5 0.153332 - -REC curves -Size Selective Naive Bayes Univariate SPetalLength -0.0 0 0 -0.1 0 7.84314 -0.2 0 7.84314 -0.3 0 9.80392 -0.4 0 9.80392 -0.5 0 9.80392 -0.6 0 9.80392 -0.7 3.92157 9.80392 -0.8 3.92157 9.80392 -0.9 3.92157 9.80392 -1.0 3.92157 9.80392 -1.1 3.92157 9.80392 -1.2 3.92157 9.80392 -1.3 7.84314 15.6863 -1.4 7.84314 15.6863 -1.5 7.84314 15.6863 -1.6 9.80392 23.5294 -1.7 11.7647 23.5294 -1.8 11.7647 27.451 -1.9 19.6078 27.451 -2.0 19.6078 27.451 -2.1 19.6078 27.451 -2.2 19.6078 27.451 -2.3 19.6078 27.451 -2.4 21.5686 27.451 -2.5 23.5294 27.451 -2.6 25.4902 29.4118 -2.7 39.2157 29.4118 -2.8 39.2157 29.4118 -2.9 39.2157 29.4118 -3.0 50.9804 29.4118 -3.1 50.9804 29.4118 -3.2 52.9412 29.4118 -3.3 52.9412 31.3725 -3.4 54.902 31.3725 -3.5 54.902 31.3725 -3.6 54.902 31.3725 -3.7 54.902 31.3725 -3.8 54.902 31.3725 -3.9 54.902 31.3725 -4.0 54.902 31.3725 -4.1 56.8627 31.3725 -4.2 56.8627 31.3725 -4.3 56.8627 37.2549 -4.4 58.8235 49.0196 -4.5 62.7451 49.0196 -4.6 62.7451 49.0196 -4.7 62.7451 49.0196 -4.8 64.7059 49.0196 -4.9 64.7059 49.0196 -5.0 64.7059 49.0196 -5.1 64.7059 50.9804 -5.2 70.5882 50.9804 -5.3 70.5882 50.9804 -5.4 70.5882 50.9804 -5.5 70.5882 50.9804 -5.6 70.5882 50.9804 -5.7 74.5098 50.9804 -5.8 74.5098 56.8627 -5.9 74.5098 60.7843 -6.0 78.4314 60.7843 -6.1 78.4314 60.7843 -6.2 78.4314 60.7843 -6.3 78.4314 60.7843 -6.4 78.4314 60.7843 -6.5 78.4314 60.7843 -6.6 78.4314 60.7843 -6.7 78.4314 60.7843 -6.8 78.4314 60.7843 -6.9 78.4314 60.7843 -7.0 78.4314 60.7843 -7.1 78.4314 60.7843 -7.2 78.4314 60.7843 -7.3 78.4314 60.7843 -7.4 78.4314 60.7843 -7.5 82.3529 60.7843 -7.6 84.3137 62.7451 -7.7 84.3137 62.7451 -7.8 86.2745 62.7451 -7.9 86.2745 62.7451 -8.0 86.2745 62.7451 -8.1 86.2745 64.7059 -8.2 90.1961 64.7059 -8.3 92.1569 66.6667 -8.4 92.1569 66.6667 -8.5 92.1569 66.6667 -8.6 92.1569 66.6667 -8.7 92.1569 66.6667 -8.8 92.1569 66.6667 -8.9 92.1569 66.6667 -9.0 92.1569 66.6667 -9.1 92.1569 66.6667 -9.2 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-99.8 100 100 -99.9 100 100 -100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/IrisU.txt b/tests/resources/analysis_results/ref_reports/IrisU.txt deleted file mode 100644 index 0bc56439..00000000 --- a/tests/resources/analysis_results/ref_reports/IrisU.txt +++ /dev/null @@ -1,1236 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Unsupervised analysis -Evaluated variables 12 -Informative variables 0 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 100 -Discretization EqualWidth -Value grouping BasicGrouping - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 Class Categorical 3 Iris-versicolor 37 3.17805 -R02 Class1 Categorical 2 68 3.17805 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R03 Class2 Categorical 2 62 3.17805 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R04 Dummy1 Numerical 1 0 0 0 0 0 3.17805 Copy(0) -R05 Dummy2 Numerical 99 0.01372010867 0.9853969761 0.5371015665 0.2836682962 0 3.17805 Random() -R06 LowerPetalLength Numerical 9 1 3 2.517171717 0.7226550938 0 3.17805 If(LE(PetalLength, 3), PetalLength, 3) -R07 PetalLength Numerical 36 1 6.9 3.801010101 1.712137004 0 3.17805 -R08 PetalWidth Numerical 20 0.1 2.5 1.218181818 0.749863777 0 3.17805 -R09 SPetalLength Categorical 5 4 32 3.17805 AsCategorical(Floor(PetalLength)) -R10 SepalLength Numerical 30 4.3 7.7 5.848484848 0.8065844732 0 3.17805 -R11 SepalWidth Numerical 22 2 4.4 3.042424242 0.4422374035 0 3.17805 -R12 UpperPetalWidth Numerical 11 1.5 2.5 1.681818182 0.2962266524 0 3.17805 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) - -Detailed variable statistics - -Rank R01 Class Categorical - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -Cells -Value group Frequency -{Iris-versicolor} 37 -{Iris-setosa} 31 -{Iris-virginica} 31 - -Input values - Iris-versicolor 37 - Iris-setosa 31 - Iris-virginica 31 - -Rank R02 Class1 Categorical - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Cells -Value group Frequency -{} 68 -{setosa} 31 - -Input values - 68 - setosa 31 - -Rank R03 Class2 Categorical - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Value group Frequency -{} 62 -{versicolor} 37 - -Input values - 62 - versicolor 37 - -Rank R05 Dummy2 Numerical - -Data grid Unsupervised -Dimensions -Dummy2 Numerical Intervals - ]-inf;0.118] 0.01372010867 0.118 - ]0.118;0.207] 0.118 0.207 - ]0.207;0.298] 0.207 0.298 - ]0.298;0.408] 0.298 0.408 - ]0.408;0.504] 0.408 0.504 - ]0.504;0.593] 0.504 0.593 - ]0.593;0.6929] 0.593 0.6929 - ]0.6929;0.793] 0.6929 0.793 - ]0.793;0.8874] 0.793 0.8874 - ]0.8874;+inf[ 0.8874 0.9853969761 -Cells -Interval Frequency -]-inf;0.118] 12 -]0.118;0.207] 5 -]0.207;0.298] 8 -]0.298;0.408] 9 -]0.408;0.504] 10 -]0.504;0.593] 6 -]0.593;0.6929] 13 -]0.6929;0.793] 13 -]0.793;0.8874] 11 -]0.8874;+inf[ 12 - -Rank R06 LowerPetalLength Numerical - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;1.2] 1 1.2 - ]1.2;1.45] 1.2 1.45 - ]1.45;1.65] 1.45 1.65 - ]1.65;1.8] 1.65 1.8 - ]1.8;2.4] 1.8 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Interval Frequency -]-inf;1.2] 2 -]1.2;1.45] 14 -]1.45;1.65] 11 -]1.65;1.8] 2 -]1.8;2.4] 2 -]2.4;+inf[ 68 - -Rank R07 PetalLength Numerical - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;1.55] 1 1.55 - ]1.55;2.4] 1.55 2.4 - ]2.4;3.25] 2.4 3.25 - ]3.25;3.95] 3.25 3.95 - ]3.95;4.55] 3.95 4.55 - ]4.55;5.15] 4.55 5.15 - ]5.15;5.75] 5.15 5.75 - ]5.75;6.4] 5.75 6.4 - ]6.4;+inf[ 6.4 6.9 -Cells -Interval Frequency -]-inf;1.55] 24 -]1.55;2.4] 7 -]2.4;3.25] 1 -]3.25;3.95] 5 -]3.95;4.55] 20 -]4.55;5.15] 21 -]5.15;5.75] 12 -]5.75;6.4] 6 -]6.4;+inf[ 3 - -Rank R08 PetalWidth Numerical - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.35] 0.1 0.35 - ]0.35;0.7] 0.35 0.7 - ]0.7;1.05] 0.7 1.05 - ]1.05;1.35] 1.05 1.35 - ]1.35;1.55] 1.35 1.55 - ]1.55;1.75] 1.55 1.75 - ]1.75;2.05] 1.75 2.05 - ]2.05;2.25] 2.05 2.25 - ]2.25;+inf[ 2.25 2.5 -Cells -Interval Frequency -]-inf;0.35] 26 -]0.35;0.7] 5 -]0.7;1.05] 4 -]1.05;1.35] 16 -]1.35;1.55] 15 -]1.55;1.75] 3 -]1.75;2.05] 14 -]2.05;2.25] 6 -]2.25;+inf[ 10 - -Rank R09 SPetalLength Categorical - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {4} 4 - {1} 1 - {5} 5 - {3} 3 - {6} 6 * -Cells -Value group Frequency -{4} 32 -{1} 31 -{5} 24 -{3} 6 -{6} 6 - -Input values - 4 32 - 1 31 - 5 24 - 3 6 - 6 6 - -Rank R10 SepalLength Numerical - -Data grid Unsupervised -Dimensions -SepalLength Numerical Intervals - ]-inf;4.65] 4.3 4.65 - ]4.65;4.95] 4.65 4.95 - ]4.95;5.3] 4.95 5.3 - ]5.3;5.65] 5.3 5.65 - ]5.65;6.05] 5.65 6.05 - ]6.05;6.35] 6.05 6.35 - ]6.35;6.65] 6.35 6.65 - ]6.65;7.05] 6.65 7.05 - ]7.05;7.45] 7.05 7.45 - ]7.45;+inf[ 7.45 7.7 -Cells -Interval Frequency -]-inf;4.65] 8 -]4.65;4.95] 7 -]4.95;5.3] 12 -]5.3;5.65] 13 -]5.65;6.05] 17 -]6.05;6.35] 14 -]6.35;6.65] 10 -]6.65;7.05] 12 -]7.05;7.45] 2 -]7.45;+inf[ 4 - -Rank R11 SepalWidth Numerical - -Data grid Unsupervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;2.25] 2 2.25 - ]2.25;2.45] 2.25 2.45 - ]2.45;2.75] 2.45 2.75 - ]2.75;2.95] 2.75 2.95 - ]2.95;3.25] 2.95 3.25 - ]3.25;3.45] 3.25 3.45 - ]3.45;3.65] 3.45 3.65 - ]3.65;4] 3.65 4 - ]4;4.15] 4 4.15 - ]4.15;+inf[ 4.15 4.4 -Cells -Interval Frequency -]-inf;2.25] 4 -]2.25;2.45] 3 -]2.45;2.75] 15 -]2.75;2.95] 17 -]2.95;3.25] 33 -]3.25;3.45] 12 -]3.45;3.65] 6 -]3.65;4] 6 -]4;4.15] 1 -]4.15;+inf[ 2 - -Rank R12 UpperPetalWidth Numerical - -Data grid Unsupervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.65] 1.5 1.65 - ]1.65;1.75] 1.65 1.75 - ]1.75;1.85] 1.75 1.85 - ]1.85;1.95] 1.85 1.95 - ]1.95;2.05] 1.95 2.05 - ]2.05;2.15] 2.05 2.15 - ]2.15;2.25] 2.15 2.25 - ]2.25;2.35] 2.25 2.35 - ]2.35;2.45] 2.35 2.45 - ]2.45;+inf[ 2.45 2.5 -Cells -Interval Frequency -]-inf;1.65] 68 -]1.65;1.75] 1 -]1.75;1.85] 7 -]1.85;1.95] 4 -]1.95;2.05] 3 -]2.05;2.15] 4 -]2.15;2.25] 2 -]2.25;2.35] 6 -]2.35;2.45] 2 -]2.45;+inf[ 2 - - -Report Bivariate preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 99 -Learning task Unsupervised analysis -Evaluated variable pairs 55 -Informative variable pairs 39 - -Variable pair statistics -Rank Name 1 Name 2 Level Variables Parts 1 Parts 2 Cells Construction cost Preparation cost Data cost -R01 Class Class2 0.284761 2 2 2 2 6.71557 18.6815 103.619 -R02 Class SPetalLength 0.270098 2 3 3 5 6.71557 41.3295 141.497 -R03 Class Class1 0.268639 2 2 2 2 6.71557 18.7725 103.619 -R04 Class1 SPetalLength 0.217256 2 2 2 2 6.71557 27.08 131.541 -R05 Class2 SPetalLength 0.180347 2 2 2 4 6.71557 27.3671 142.207 -R06 PetalLength SPetalLength 0.144064 2 5 5 5 6.71557 67.8275 359.134 -R07 Class PetalLength 0.141345 2 3 3 4 6.71557 30.7159 367.831 -R08 Class PetalWidth 0.138676 2 3 3 5 6.71557 30.7159 369.091 -R09 PetalWidth SPetalLength 0.113809 2 3 3 5 6.71557 40.1193 402.171 -R10 Class1 LowerPetalLength 0.104168 2 2 2 2 6.71557 13.5513 359.134 -R11 Class1 PetalLength 0.104168 2 2 2 2 6.71557 13.5513 359.134 -R12 Class1 PetalWidth 0.104168 2 2 2 2 6.71557 13.5513 359.134 -R13 Class LowerPetalLength 0.0904843 2 2 2 2 6.71557 18.8841 403.668 -R14 LowerPetalLength SPetalLength 0.081263 2 2 2 2 6.71557 27.1915 431.589 -R15 PetalLength PetalWidth 0.0768484 2 3 3 4 6.71557 29.5057 627.489 -R16 Class2 PetalLength 0.0755679 2 2 3 4 6.71557 20.5279 367.831 -R17 Class2 PetalWidth 0.0726203 2 2 3 5 6.71557 20.5279 369.091 -R18 Class UpperPetalWidth 0.0668354 2 2 2 4 6.71557 18.8841 414.829 -R19 PetalWidth UpperPetalWidth 0.0638378 2 3 3 3 6.71557 29.5057 636.843 -R20 Class1 Class2 0.0617915 2 2 2 3 6.71557 13.4398 103.619 -R21 SPetalLength SepalLength 0.0603034 2 3 3 5 6.71557 40.0933 429.307 -R22 LowerPetalLength PetalLength 0.0599177 2 3 3 3 6.71557 29.5057 639.662 -R23 Class1 SepalLength 0.0587558 2 2 2 4 6.71557 13.5513 378.367 -R24 LowerPetalLength PetalWidth 0.0548016 2 2 2 2 6.71557 13.6629 659.183 -R25 Class SepalLength 0.0526999 2 3 3 7 6.71557 30.7159 409.669 -R26 SPetalLength UpperPetalWidth 0.0472362 2 2 2 4 6.71557 27.49 448.531 -R27 PetalLength SepalLength 0.0390468 2 3 3 5 6.71557 29.5057 654.667 -R28 PetalLength UpperPetalWidth 0.0369425 2 2 2 3 6.71557 13.6629 672.023 -R29 PetalWidth SepalLength 0.0328232 2 3 3 8 6.71557 29.5057 659.142 -R30 LowerPetalLength SepalLength 0.0280508 2 2 2 4 6.71557 13.6629 678.416 -R31 Class1 SepalWidth 0.0171455 2 2 2 4 6.71557 13.5513 395.99 -R32 Class SepalWidth 0.0123962 2 2 2 4 6.71557 18.8841 440.523 -R33 SPetalLength SepalWidth 0.00852231 2 2 2 4 6.71557 27.1915 468.445 -R34 Class2 LowerPetalLength 0.00803804 2 2 2 3 6.71557 13.5513 403.668 -R35 SepalLength UpperPetalWidth 0.00632132 2 2 2 4 6.71557 13.6629 694.038 -R36 LowerPetalLength SepalWidth 0.00353941 2 2 2 4 6.71557 13.6629 696.038 -R37 PetalLength SepalWidth 0.00353941 2 2 2 4 6.71557 13.6629 696.038 -R38 PetalWidth SepalWidth 0.00353941 2 2 2 4 6.71557 13.6629 696.038 -R39 Class1 UpperPetalWidth 0.00191989 2 2 2 3 6.71557 13.5513 402.438 -R40 Class Dummy2 0 0 1 1 1 0.693147 8.52714 462.753 -R41 Class1 Dummy2 0 0 1 1 1 0.693147 4.60517 418.22 -R42 Class2 Dummy2 0 0 1 1 1 0.693147 4.60517 422.072 -R43 Class2 SepalLength 0 0 1 1 1 0.693147 4.60517 422.072 -R44 Class2 SepalWidth 0 0 1 1 1 0.693147 4.60517 422.072 -R45 Class2 UpperPetalWidth 0 0 1 1 1 0.693147 4.60517 422.072 -R46 Dummy2 LowerPetalLength 0 0 1 1 1 0.693147 0 718.268 -R47 Dummy2 PetalLength 0 0 1 1 1 0.693147 0 718.268 -R48 Dummy2 PetalWidth 0 0 1 1 1 0.693147 0 718.268 -R49 Dummy2 SPetalLength 0 0 1 1 1 0.693147 15.3019 490.675 -R50 Dummy2 SepalLength 0 0 1 1 1 0.693147 0 718.268 -R51 Dummy2 SepalWidth 0 0 1 1 1 0.693147 0 718.268 -R52 Dummy2 UpperPetalWidth 0 0 1 1 1 0.693147 0 718.268 -R53 LowerPetalLength UpperPetalWidth 0 0 1 1 1 0.693147 0 718.268 -R54 SepalLength SepalWidth 0 0 1 1 1 0.693147 0 718.268 -R55 SepalWidth UpperPetalWidth 0 0 1 1 1 0.693147 0 718.268 - -Detailed variable pair statistics - -Rank R01 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa, Iris-virginica} Iris-setosa Iris-virginica * - {Iris-versicolor} Iris-versicolor -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Cell id Class Class2 Frequency -C1 {Iris-setosa, Iris-virginica} {} 62 -C4 {Iris-versicolor} {versicolor} 37 -Confusion matrix - {Iris-setosa, Iris-virginica} {Iris-versicolor} -{} 62 0 -{versicolor} 0 37 - -Rank R02 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Cells -Cell id Class SPetalLength Frequency -C1 {Iris-versicolor} {4, 3} 36 -C3 {Iris-virginica} {4, 3} 2 -C5 {Iris-setosa} {1} 31 -C7 {Iris-versicolor} {5, 6} 1 -C9 {Iris-virginica} {5, 6} 29 -Confusion matrix - {Iris-versicolor} {Iris-setosa} {Iris-virginica} -{4, 3} 36 0 2 -{1} 0 31 0 -{5, 6} 1 0 29 - -Rank R03 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -Class1 Categorical Value groups - {} - {setosa} setosa * -Cells -Cell id Class Class1 Frequency -C1 {Iris-versicolor, Iris-virginica} {} 68 -C4 {Iris-setosa} {setosa} 31 -Confusion matrix - {Iris-versicolor, Iris-virginica} {Iris-setosa} -{} 68 0 -{setosa} 0 31 - -Rank R04 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SPetalLength Categorical Value groups - {4, 5, 3, ...} 4 5 3 6 * - {1} 1 -Cells -Cell id Class1 SPetalLength Frequency -C1 {} {4, 5, 3, ...} 68 -C4 {setosa} {1} 31 -Confusion matrix - {} {setosa} -{4, 5, 3, ...} 68 0 -{1} 0 31 - -Rank R05 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -SPetalLength Categorical Value groups - {1, 5, 6} 1 5 6 * - {4, 3} 4 3 -Cells -Cell id Class2 SPetalLength Frequency -C1 {} {1, 5, 6} 60 -C2 {versicolor} {1, 5, 6} 1 -C3 {} {4, 3} 2 -C4 {versicolor} {4, 3} 36 -Confusion matrix - {} {versicolor} -{1, 5, 6} 60 1 -{4, 3} 2 36 - -Rank R06 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;3.95] 2.4 3.95 - ]3.95;4.95] 3.95 4.95 - ]4.95;5.95] 4.95 5.95 - ]5.95;+inf[ 5.95 6.9 -SPetalLength Categorical Value groups - {4} 4 - {1} 1 - {5} 5 - {3} 3 - {6} 6 * -Cells -Cell id PetalLength SPetalLength Frequency -C3 ]3.95;4.95] {4} 32 -C6 ]-inf;2.4] {1} 31 -C14 ]4.95;5.95] {5} 24 -C17 ]2.4;3.95] {3} 6 -C25 ]5.95;+inf[ {6} 6 -Confusion matrix - ]-inf;2.4] ]2.4;3.95] ]3.95;4.95] ]4.95;5.95] ]5.95;+inf[ -{4} 0 0 32 0 0 -{1} 31 0 0 0 0 -{5} 0 0 0 24 0 -{3} 0 6 0 0 0 -{6} 0 0 0 0 6 - -Rank R07 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Cell id Class PetalLength Frequency -C2 {Iris-setosa} ]-inf;2.4] 31 -C4 {Iris-versicolor} ]2.4;4.85] 34 -C7 {Iris-versicolor} ]4.85;+inf[ 3 -C9 {Iris-virginica} ]4.85;+inf[ 31 -Confusion matrix - {Iris-versicolor} {Iris-setosa} {Iris-virginica} -]-inf;2.4] 0 31 0 -]2.4;4.85] 34 0 0 -]4.85;+inf[ 3 0 31 - -Rank R08 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.75] 0.7 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class PetalWidth Frequency -C2 {Iris-setosa} ]-inf;0.7] 31 -C4 {Iris-versicolor} ]0.7;1.75] 36 -C6 {Iris-virginica} ]0.7;1.75] 2 -C7 {Iris-versicolor} ]1.75;+inf[ 1 -C9 {Iris-virginica} ]1.75;+inf[ 29 -Confusion matrix - {Iris-versicolor} {Iris-setosa} {Iris-virginica} -]-inf;0.7] 0 31 0 -]0.7;1.75] 36 0 2 -]1.75;+inf[ 1 0 29 - -Rank R09 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.65] 0.7 1.65 - ]1.65;+inf[ 1.65 2.5 -SPetalLength Categorical Value groups - {4, 3} 4 3 - {1} 1 - {5, 6} 5 6 * -Cells -Cell id PetalWidth SPetalLength Frequency -C2 ]0.7;1.65] {4, 3} 35 -C3 ]1.65;+inf[ {4, 3} 3 -C4 ]-inf;0.7] {1} 31 -C8 ]0.7;1.65] {5, 6} 2 -C9 ]1.65;+inf[ {5, 6} 28 -Confusion matrix - ]-inf;0.7] ]0.7;1.65] ]1.65;+inf[ -{4, 3} 0 35 3 -{1} 31 0 0 -{5, 6} 0 2 28 - -Rank R10 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class1 LowerPetalLength Frequency -C2 {setosa} ]-inf;2.4] 31 -C3 {} ]2.4;+inf[ 68 -Confusion matrix - {} {setosa} -]-inf;2.4] 0 31 -]2.4;+inf[ 68 0 - -Rank R11 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Cell id Class1 PetalLength Frequency -C2 {setosa} ]-inf;2.4] 31 -C3 {} ]2.4;+inf[ 68 -Confusion matrix - {} {setosa} -]-inf;2.4] 0 31 -]2.4;+inf[ 68 0 - -Rank R12 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;+inf[ 0.7 2.5 -Cells -Cell id Class1 PetalWidth Frequency -C2 {setosa} ]-inf;0.7] 31 -C3 {} ]0.7;+inf[ 68 -Confusion matrix - {} {setosa} -]-inf;0.7] 0 31 -]0.7;+inf[ 68 0 - -Rank R13 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class LowerPetalLength Frequency -C2 {Iris-setosa} ]-inf;2.4] 31 -C3 {Iris-versicolor, Iris-virginica} ]2.4;+inf[ 68 -Confusion matrix - {Iris-versicolor, Iris-virginica} {Iris-setosa} -]-inf;2.4] 0 31 -]2.4;+inf[ 68 0 - -Rank R14 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SPetalLength Categorical Value groups - {4, 5, 3, ...} 4 5 3 6 * - {1} 1 -Cells -Cell id LowerPetalLength SPetalLength Frequency -C2 ]2.4;+inf[ {4, 5, 3, ...} 68 -C3 ]-inf;2.4] {1} 31 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -{4, 5, 3, ...} 0 68 -{1} 31 0 - -Rank R15 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.75] 2.4 4.75 - ]4.75;+inf[ 4.75 6.9 -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.65] 0.7 1.65 - ]1.65;+inf[ 1.65 2.5 -Cells -Cell id PetalLength PetalWidth Frequency -C1 ]-inf;2.4] ]-inf;0.7] 31 -C5 ]2.4;4.75] ]0.7;1.65] 32 -C6 ]4.75;+inf[ ]0.7;1.65] 5 -C9 ]4.75;+inf[ ]1.65;+inf[ 31 -Confusion matrix - ]-inf;2.4] ]2.4;4.75] ]4.75;+inf[ -]-inf;0.7] 31 0 0 -]0.7;1.65] 0 32 5 -]1.65;+inf[ 0 0 31 - -Rank R16 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Cell id Class2 PetalLength Frequency -C1 {} ]-inf;2.4] 31 -C4 {versicolor} ]2.4;4.85] 34 -C5 {} ]4.85;+inf[ 31 -C6 {versicolor} ]4.85;+inf[ 3 -Confusion matrix - {} {versicolor} -]-inf;2.4] 31 0 -]2.4;4.85] 0 34 -]4.85;+inf[ 31 3 - -Rank R17 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.75] 0.7 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class2 PetalWidth Frequency -C1 {} ]-inf;0.7] 31 -C3 {} ]0.7;1.75] 2 -C4 {versicolor} ]0.7;1.75] 36 -C5 {} ]1.75;+inf[ 29 -C6 {versicolor} ]1.75;+inf[ 1 -Confusion matrix - {} {versicolor} -]-inf;0.7] 31 0 -]0.7;1.75] 2 36 -]1.75;+inf[ 29 1 - -Rank R18 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor, Iris-setosa} Iris-versicolor Iris-setosa - {Iris-virginica} Iris-virginica * -UpperPetalWidth Numerical Intervals - ]-inf;1.75] 1.5 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class UpperPetalWidth Frequency -C1 {Iris-versicolor, Iris-setosa} ]-inf;1.75] 67 -C2 {Iris-virginica} ]-inf;1.75] 2 -C3 {Iris-versicolor, Iris-setosa} ]1.75;+inf[ 1 -C4 {Iris-virginica} ]1.75;+inf[ 29 -Confusion matrix - {Iris-versicolor, Iris-setosa} {Iris-virginica} -]-inf;1.75] 67 2 -]1.75;+inf[ 1 29 - -Rank R19 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;1.55] 0.1 1.55 - ]1.55;2.05] 1.55 2.05 - ]2.05;+inf[ 2.05 2.5 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;2.05] 1.55 2.05 - ]2.05;+inf[ 2.05 2.5 -Cells -Cell id PetalWidth UpperPetalWidth Frequency -C1 ]-inf;1.55] ]-inf;1.55] 66 -C5 ]1.55;2.05] ]1.55;2.05] 17 -C9 ]2.05;+inf[ ]2.05;+inf[ 16 -Confusion matrix - ]-inf;1.55] ]1.55;2.05] ]2.05;+inf[ -]-inf;1.55] 66 0 0 -]1.55;2.05] 0 17 0 -]2.05;+inf[ 0 0 16 - -Rank R20 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Cell id Class1 Class2 Frequency -C1 {} {} 31 -C2 {setosa} {} 31 -C3 {} {versicolor} 37 -Confusion matrix - {} {setosa} -{} 31 31 -{versicolor} 37 0 - -Rank R21 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {1, 3} 1 3 - {4} 4 - {5, 6} 5 6 * -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.75] 5.45 5.75 - ]5.75;+inf[ 5.75 7.7 -Cells -Cell id SPetalLength SepalLength Frequency -C1 {1, 3} ]-inf;5.45] 31 -C4 {1, 3} ]5.45;5.75] 6 -C5 {4} ]5.45;5.75] 10 -C8 {4} ]5.75;+inf[ 22 -C9 {5, 6} ]5.75;+inf[ 30 -Confusion matrix - {1, 3} {4} {5, 6} -]-inf;5.45] 31 0 0 -]5.45;5.75] 6 10 0 -]5.75;+inf[ 0 22 30 - -Rank R22 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 3 -PetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Cell id LowerPetalLength PetalLength Frequency -C1 ]-inf;1.45] ]-inf;1.45] 16 -C5 ]1.45;2.4] ]1.45;2.4] 15 -C9 ]2.4;+inf[ ]2.4;+inf[ 68 -Confusion matrix - ]-inf;1.45] ]1.45;2.4] ]2.4;+inf[ -]-inf;1.45] 16 0 0 -]1.45;2.4] 0 15 0 -]2.4;+inf[ 0 0 68 - -Rank R23 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;+inf[ 5.45 7.7 -Cells -Cell id Class1 SepalLength Frequency -C1 {} ]-inf;5.45] 3 -C2 {setosa} ]-inf;5.45] 28 -C3 {} ]5.45;+inf[ 65 -C4 {setosa} ]5.45;+inf[ 3 -Confusion matrix - {} {setosa} -]-inf;5.45] 3 28 -]5.45;+inf[ 65 3 - -Rank R24 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;+inf[ 0.7 2.5 -Cells -Cell id LowerPetalLength PetalWidth Frequency -C1 ]-inf;2.4] ]-inf;0.7] 31 -C4 ]2.4;+inf[ ]0.7;+inf[ 68 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;0.7] 31 0 -]0.7;+inf[ 0 68 - -Rank R25 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor} Iris-versicolor - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica * -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.75] 5.45 5.75 - ]5.75;+inf[ 5.75 7.7 -Cells -Cell id Class SepalLength Frequency -C1 {Iris-versicolor} ]-inf;5.45] 3 -C2 {Iris-setosa} ]-inf;5.45] 28 -C4 {Iris-versicolor} ]5.45;5.75] 12 -C5 {Iris-setosa} ]5.45;5.75] 3 -C6 {Iris-virginica} ]5.45;5.75] 1 -C7 {Iris-versicolor} ]5.75;+inf[ 22 -C9 {Iris-virginica} ]5.75;+inf[ 30 -Confusion matrix - {Iris-versicolor} {Iris-setosa} {Iris-virginica} -]-inf;5.45] 3 28 0 -]5.45;5.75] 12 3 1 -]5.75;+inf[ 22 0 30 - -Rank R26 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {4, 1, 3} 4 1 3 - {5, 6} 5 6 * -UpperPetalWidth Numerical Intervals - ]-inf;1.65] 1.5 1.65 - ]1.65;+inf[ 1.65 2.5 -Cells -Cell id SPetalLength UpperPetalWidth Frequency -C1 {4, 1, 3} ]-inf;1.65] 66 -C2 {5, 6} ]-inf;1.65] 2 -C3 {4, 1, 3} ]1.65;+inf[ 3 -C4 {5, 6} ]1.65;+inf[ 28 -Confusion matrix - {4, 1, 3} {5, 6} -]-inf;1.65] 66 2 -]1.65;+inf[ 3 28 - -Rank R27 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;3.95] 1 3.95 - ]3.95;5.15] 3.95 5.15 - ]5.15;+inf[ 5.15 6.9 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;6.15] 5.45 6.15 - ]6.15;+inf[ 6.15 7.7 -Cells -Cell id PetalLength SepalLength Frequency -C1 ]-inf;3.95] ]-inf;5.45] 31 -C4 ]-inf;3.95] ]5.45;6.15] 6 -C5 ]3.95;5.15] ]5.45;6.15] 25 -C8 ]3.95;5.15] ]6.15;+inf[ 16 -C9 ]5.15;+inf[ ]6.15;+inf[ 21 -Confusion matrix - ]-inf;3.95] ]3.95;5.15] ]5.15;+inf[ -]-inf;5.45] 31 0 0 -]5.45;6.15] 6 25 0 -]6.15;+inf[ 0 16 21 - -Rank R28 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;4.75] 1 4.75 - ]4.75;+inf[ 4.75 6.9 -UpperPetalWidth Numerical Intervals - ]-inf;1.65] 1.5 1.65 - ]1.65;+inf[ 1.65 2.5 -Cells -Cell id PetalLength UpperPetalWidth Frequency -C1 ]-inf;4.75] ]-inf;1.65] 63 -C2 ]4.75;+inf[ ]-inf;1.65] 5 -C4 ]4.75;+inf[ ]1.65;+inf[ 31 -Confusion matrix - ]-inf;4.75] ]4.75;+inf[ -]-inf;1.65] 63 5 -]1.65;+inf[ 0 31 - -Rank R29 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;1.35] 0.7 1.35 - ]1.35;+inf[ 1.35 2.5 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.75] 5.45 5.75 - ]5.75;+inf[ 5.75 7.7 -Cells -Cell id PetalWidth SepalLength Frequency -C1 ]-inf;0.7] ]-inf;5.45] 28 -C2 ]0.7;1.35] ]-inf;5.45] 2 -C3 ]1.35;+inf[ ]-inf;5.45] 1 -C4 ]-inf;0.7] ]5.45;5.75] 3 -C5 ]0.7;1.35] ]5.45;5.75] 11 -C6 ]1.35;+inf[ ]5.45;5.75] 2 -C8 ]0.7;1.35] ]5.75;+inf[ 7 -C9 ]1.35;+inf[ ]5.75;+inf[ 45 -Confusion matrix - ]-inf;0.7] ]0.7;1.35] ]1.35;+inf[ -]-inf;5.45] 28 2 1 -]5.45;5.75] 3 11 2 -]5.75;+inf[ 0 7 45 - -Rank R30 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;+inf[ 5.45 7.7 -Cells -Cell id LowerPetalLength SepalLength Frequency -C1 ]-inf;2.4] ]-inf;5.45] 28 -C2 ]2.4;+inf[ ]-inf;5.45] 3 -C3 ]-inf;2.4] ]5.45;+inf[ 3 -C4 ]2.4;+inf[ ]5.45;+inf[ 65 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;5.45] 28 3 -]5.45;+inf[ 3 65 - -Rank R31 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id Class1 SepalWidth Frequency -C1 {} ]-inf;3.35] 65 -C2 {setosa} ]-inf;3.35] 11 -C3 {} ]3.35;+inf[ 3 -C4 {setosa} ]3.35;+inf[ 20 -Confusion matrix - {} {setosa} -]-inf;3.35] 65 11 -]3.35;+inf[ 3 20 - -Rank R32 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-versicolor, Iris-virginica} Iris-versicolor Iris-virginica * - {Iris-setosa} Iris-setosa -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id Class SepalWidth Frequency -C1 {Iris-versicolor, Iris-virginica} ]-inf;3.35] 65 -C2 {Iris-setosa} ]-inf;3.35] 11 -C3 {Iris-versicolor, Iris-virginica} ]3.35;+inf[ 3 -C4 {Iris-setosa} ]3.35;+inf[ 20 -Confusion matrix - {Iris-versicolor, Iris-virginica} {Iris-setosa} -]-inf;3.35] 65 11 -]3.35;+inf[ 3 20 - -Rank R33 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {4, 5, 3, ...} 4 5 3 6 * - {1} 1 -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id SPetalLength SepalWidth Frequency -C1 {4, 5, 3, ...} ]-inf;3.35] 65 -C2 {1} ]-inf;3.35] 11 -C3 {4, 5, 3, ...} ]3.35;+inf[ 3 -C4 {1} ]3.35;+inf[ 20 -Confusion matrix - {4, 5, 3, ...} {1} -]-inf;3.35] 65 11 -]3.35;+inf[ 3 20 - -Rank R34 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class2 LowerPetalLength Frequency -C1 {} ]-inf;2.4] 31 -C3 {} ]2.4;+inf[ 31 -C4 {versicolor} ]2.4;+inf[ 37 -Confusion matrix - {} {versicolor} -]-inf;2.4] 31 0 -]2.4;+inf[ 31 37 - -Rank R35 - -Data grid Unsupervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.75] 4.3 5.75 - ]5.75;+inf[ 5.75 7.7 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id SepalLength UpperPetalWidth Frequency -C1 ]-inf;5.75] ]-inf;1.55] 46 -C2 ]5.75;+inf[ ]-inf;1.55] 20 -C3 ]-inf;5.75] ]1.55;+inf[ 1 -C4 ]5.75;+inf[ ]1.55;+inf[ 32 -Confusion matrix - ]-inf;5.75] ]5.75;+inf[ -]-inf;1.55] 46 20 -]1.55;+inf[ 1 32 - -Rank R36 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id LowerPetalLength SepalWidth Frequency -C1 ]-inf;2.4] ]-inf;3.35] 11 -C2 ]2.4;+inf[ ]-inf;3.35] 65 -C3 ]-inf;2.4] ]3.35;+inf[ 20 -C4 ]2.4;+inf[ ]3.35;+inf[ 3 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;3.35] 11 65 -]3.35;+inf[ 20 3 - -Rank R37 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 6.9 -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id PetalLength SepalWidth Frequency -C1 ]-inf;2.4] ]-inf;3.35] 11 -C2 ]2.4;+inf[ ]-inf;3.35] 65 -C3 ]-inf;2.4] ]3.35;+inf[ 20 -C4 ]2.4;+inf[ ]3.35;+inf[ 3 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;3.35] 11 65 -]3.35;+inf[ 20 3 - -Rank R38 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.7] 0.1 0.7 - ]0.7;+inf[ 0.7 2.5 -SepalWidth Numerical Intervals - ]-inf;3.35] 2 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id PetalWidth SepalWidth Frequency -C1 ]-inf;0.7] ]-inf;3.35] 11 -C2 ]0.7;+inf[ ]-inf;3.35] 65 -C3 ]-inf;0.7] ]3.35;+inf[ 20 -C4 ]0.7;+inf[ ]3.35;+inf[ 3 -Confusion matrix - ]-inf;0.7] ]0.7;+inf[ -]-inf;3.35] 11 65 -]3.35;+inf[ 20 3 - -Rank R39 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id Class1 UpperPetalWidth Frequency -C1 {} ]-inf;1.55] 35 -C2 {setosa} ]-inf;1.55] 31 -C3 {} ]1.55;+inf[ 33 -Confusion matrix - {} {setosa} -]-inf;1.55] 35 31 -]1.55;+inf[ 33 0 diff --git a/tests/resources/analysis_results/ref_reports/IrisU2D.txt b/tests/resources/analysis_results/ref_reports/IrisU2D.txt deleted file mode 100644 index 7600a3c3..00000000 --- a/tests/resources/analysis_results/ref_reports/IrisU2D.txt +++ /dev/null @@ -1,1159 +0,0 @@ -Tool Khiops -Version 10.5.0-a1 -Short description - - -Report Preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 105 -Learning task Unsupervised analysis -Evaluated variables 12 -Informative variables 0 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 100 -Discretization MODL -Value grouping MODL - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 Class Categorical 3 3 Iris-setosa 38 3.17805 -R02 Class1 Categorical 2 2 67 3.17805 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R03 Class2 Categorical 2 2 73 3.17805 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R04 Dummy1 Numerical 1 1 0 0 0 0 0 3.17805 Copy(0) -R05 Dummy2 Numerical 1 105 0.005121241265 0.9859650261 0.5173966838 0.2650019122 0 3.17805 Random() -R06 LowerPetalLength Numerical 4 10 1 3 2.446666667 0.7433600251 0 3.17805 If(LE(PetalLength, 3), PetalLength, 3) -R07 PetalLength Numerical 5 36 1 6.9 3.686666667 1.80132579 0 3.17805 -R08 PetalWidth Numerical 5 21 0.1 2.5 1.175238095 0.7880996979 0 3.17805 -R09 SPetalLength Categorical 5 5 1 38 3.17805 AsCategorical(Floor(PetalLength)) -R10 SepalLength Numerical 2 31 4.3 7.7 5.827619048 0.8375127846 0 3.17805 -R11 SepalWidth Numerical 3 23 2 4.4 3.081904762 0.4284592446 0 3.17805 -R12 UpperPetalWidth Numerical 2 11 1.5 2.5 1.692380952 0.2962287527 0 3.17805 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) - -Detailed variable statistics - -Rank R01 Class Categorical - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -Cells -Value group Frequency -{Iris-setosa} 38 -{Iris-virginica} 35 -{Iris-versicolor} 32 - -Input values - Iris-setosa 38 - Iris-virginica 35 - Iris-versicolor 32 - -Rank R02 Class1 Categorical - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Cells -Value group Frequency -{} 67 -{setosa} 38 - -Input values - 67 - setosa 38 - -Rank R03 Class2 Categorical - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Value group Frequency -{} 73 -{versicolor} 32 - -Input values - 73 - versicolor 32 - -Rank R05 Dummy2 Numerical - -Data grid Unsupervised -Dimensions -Dummy2 Numerical Intervals - ]-inf;+inf[ 0.00390625 1 -Cells -Interval Frequency -]-inf;+inf[ 105 - -Rank R06 LowerPetalLength Numerical - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;1.25] 0.95 1.25 - ]1.25;1.75] 1.25 1.75 - ]1.75;2.95] 1.75 2.95 - ]2.95;+inf[ 2.95 3.05 -Cells -Interval Frequency -]-inf;1.25] 4 -]1.25;1.75] 32 -]1.75;2.95] 2 -]2.95;+inf[ 67 - -Rank R07 PetalLength Numerical - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;1.25] 0.95 1.25 - ]1.25;1.75] 1.25 1.75 - ]1.75;3.85] 1.75 3.85 - ]3.85;6.15] 3.85 6.15 - ]6.15;+inf[ 6.15 6.95 -Cells -Interval Frequency -]-inf;1.25] 4 -]1.25;1.75] 32 -]1.75;3.85] 7 -]3.85;6.15] 59 -]6.15;+inf[ 3 - -Rank R08 PetalWidth Numerical - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.15] 0.05 0.15 - ]0.15;0.25] 0.15 0.25 - ]0.25;0.45] 0.25 0.45 - ]0.45;0.85] 0.45 0.85 - ]0.85;+inf[ 0.85 2.55 -Cells -Interval Frequency -]-inf;0.15] 6 -]0.15;0.25] 20 -]0.25;0.45] 11 -]0.45;0.85] 1 -]0.85;+inf[ 67 - -Rank R09 SPetalLength Categorical - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {1} 1 - {5} 5 - {4} 4 - {3} 3 - {6} 6 * -Cells -Value group Frequency -{1} 38 -{5} 27 -{4} 25 -{3} 8 -{6} 7 - -Input values - 1 38 - 5 27 - 4 25 - 3 8 - 6 7 - -Rank R10 SepalLength Numerical - -Data grid Unsupervised -Dimensions -SepalLength Numerical Intervals - ]-inf;7] 4.25 7 - ]7;+inf[ 7 7.75 -Cells -Interval Frequency -]-inf;7] 97 -]7;+inf[ 8 - -Rank R11 SepalWidth Numerical - -Data grid Unsupervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;2.45] 1.95 2.45 - ]2.45;3.25] 2.45 3.25 - ]3.25;+inf[ 3.25 4.45 -Cells -Interval Frequency -]-inf;2.45] 5 -]2.45;3.25] 72 -]3.25;+inf[ 28 - -Rank R12 UpperPetalWidth Numerical - -Data grid Unsupervised -Dimensions -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.45 1.55 - ]1.55;+inf[ 1.55 2.55 -Cells -Interval Frequency -]-inf;1.55] 67 -]1.55;+inf[ 38 - - -Report Bivariate preparation - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 105 -Learning task Unsupervised analysis -Evaluated variable pairs 55 -Informative variable pairs 38 - -Variable pair statistics -Rank Name 1 Name 2 Level Variables Parts 1 Parts 2 Cells Construction cost Preparation cost Data cost -R01 Class Class1 0.286471 2 2 2 2 6.71557 18.9311 110.25 -R02 Class Class2 0.270234 2 2 2 2 6.71557 19.0156 110.25 -R03 Class SPetalLength 0.258511 2 3 3 5 6.71557 41.7647 157.188 -R04 Class1 SPetalLength 0.231831 2 2 2 2 6.71557 27.2099 142.253 -R05 PetalLength SPetalLength 0.151582 2 5 5 5 6.71557 69.091 386.913 -R06 Class2 SPetalLength 0.142436 2 2 2 4 6.71557 27.7273 158.704 -R07 Class PetalWidth 0.14197 2 3 3 5 6.71557 31.1679 396.708 -R08 Class PetalLength 0.136908 2 3 3 5 6.71557 31.1679 399.272 -R09 Class1 LowerPetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R10 Class1 PetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R11 Class1 PetalWidth 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R12 PetalWidth SPetalLength 0.109807 2 3 3 5 6.71557 40.5555 438.232 -R13 Class LowerPetalLength 0.0982915 2 2 2 2 6.71557 19.0436 430.955 -R14 LowerPetalLength SPetalLength 0.0887331 2 2 2 2 6.71557 27.3225 462.959 -R15 PetalLength PetalWidth 0.0785935 2 3 3 4 6.71557 29.9587 676.972 -R16 Class UpperPetalWidth 0.0721164 2 2 2 4 6.71557 19.0868 444.17 -R17 PetalWidth UpperPetalWidth 0.0703191 2 3 3 3 6.71557 29.9587 683.381 -R18 LowerPetalLength PetalLength 0.0701201 2 3 3 3 6.71557 29.9587 683.535 -R19 Class2 PetalWidth 0.0662843 2 2 3 5 6.71557 20.8147 396.708 -R20 SPetalLength SepalLength 0.0654694 2 3 4 5 6.71557 49.4973 453.472 -R21 Class2 PetalLength 0.0606416 2 2 3 5 6.71557 20.8147 399.272 -R22 LowerPetalLength PetalWidth 0.0598398 2 2 2 2 6.71557 13.838 707.618 -R23 Class SepalLength 0.059526 2 3 3 7 6.71557 31.1679 438.466 -R24 Class1 Class2 0.0559199 2 2 2 3 6.71557 13.6129 110.25 -R25 Class1 SepalLength 0.0531576 2 2 2 4 6.71557 13.7255 413.664 -R26 SPetalLength UpperPetalWidth 0.0466723 2 3 2 5 6.71557 31.8478 481.373 -R27 PetalLength SepalLength 0.0407398 2 4 4 8 6.71557 47.7303 688.519 -R28 PetalLength UpperPetalWidth 0.0401281 2 2 2 3 6.71557 13.838 722.885 -R29 PetalWidth SepalLength 0.0303985 2 3 3 8 6.71557 29.9587 714.3 -R30 LowerPetalLength SepalLength 0.0253003 2 2 2 4 6.71557 13.838 734.369 -R31 Class1 UpperPetalWidth 0.0166012 2 2 2 3 6.71557 13.7255 430.424 -R32 SepalLength UpperPetalWidth 0.0164148 2 2 2 4 6.71557 13.838 741.251 -R33 Class1 SepalWidth 0.00749643 2 2 3 5 6.71557 20.8147 427.509 -R34 Class2 LowerPetalLength 0.0065114 2 2 2 3 6.71557 13.7255 430.955 -R35 Class SepalWidth 0.00543684 2 3 2 6 6.71557 22.1365 474.893 -R36 LowerPetalLength UpperPetalWidth 0.00366071 2 2 2 3 6.71557 13.838 751.129 -R37 PetalWidth SepalWidth 0.00221737 2 3 2 6 6.71557 20.9273 745.158 -R38 SPetalLength SepalWidth 0.00143264 2 3 3 9 6.71557 40.2319 497.662 -R39 Class Dummy2 0 0 1 1 1 0.693147 8.64312 497.163 -R40 Class1 Dummy2 0 0 1 1 1 0.693147 4.66344 453.12 -R41 Class2 Dummy2 0 0 1 1 1 0.693147 4.66344 448.998 -R42 Class2 SepalLength 0 0 1 1 1 0.693147 4.66344 448.998 -R43 Class2 SepalWidth 0 0 1 1 1 0.693147 4.66344 448.998 -R44 Class2 UpperPetalWidth 0 0 1 1 1 0.693147 4.66344 448.998 -R45 Dummy2 LowerPetalLength 0 0 1 1 1 0.693147 0 773.825 -R46 Dummy2 PetalLength 0 0 1 1 1 0.693147 0 773.825 -R47 Dummy2 PetalWidth 0 0 1 1 1 0.693147 0 773.825 -R48 Dummy2 SPetalLength 0 0 1 1 1 0.693147 15.5317 529.166 -R49 Dummy2 SepalLength 0 0 1 1 1 0.693147 0 773.825 -R50 Dummy2 SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R51 Dummy2 UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 -R52 LowerPetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R53 PetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R54 SepalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R55 SepalWidth UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 - -Detailed variable pair statistics - -Rank R01 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-virginica, Iris-versicolor} Iris-virginica Iris-versicolor * - {Iris-setosa} Iris-setosa -Class1 Categorical Value groups - {} - {setosa} setosa * -Cells -Cell id Class Class1 Frequency -C1 {Iris-virginica, Iris-versicolor} {} 67 -C4 {Iris-setosa} {setosa} 38 -Confusion matrix - {Iris-virginica, Iris-versicolor} {Iris-setosa} -{} 67 0 -{setosa} 0 38 - -Rank R02 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa, Iris-virginica} Iris-setosa Iris-virginica - {Iris-versicolor} Iris-versicolor * -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Cell id Class Class2 Frequency -C1 {Iris-setosa, Iris-virginica} {} 73 -C4 {Iris-versicolor} {versicolor} 32 -Confusion matrix - {Iris-setosa, Iris-virginica} {Iris-versicolor} -{} 73 0 -{versicolor} 0 32 - -Rank R03 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -SPetalLength Categorical Value groups - {1} 1 - {5, 6} 5 6 * - {4, 3} 4 3 -Cells -Cell id Class SPetalLength Frequency -C1 {Iris-setosa} {1} 38 -C5 {Iris-virginica} {5, 6} 32 -C6 {Iris-versicolor} {5, 6} 2 -C8 {Iris-virginica} {4, 3} 3 -C9 {Iris-versicolor} {4, 3} 30 -Confusion matrix - {Iris-setosa} {Iris-virginica} {Iris-versicolor} -{1} 38 0 0 -{5, 6} 0 32 2 -{4, 3} 0 3 30 - -Rank R04 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SPetalLength Categorical Value groups - {5, 4, 3, ...} 5 4 3 6 * - {1} 1 -Cells -Cell id Class1 SPetalLength Frequency -C1 {} {5, 4, 3, ...} 67 -C4 {setosa} {1} 38 -Confusion matrix - {} {setosa} -{5, 4, 3, ...} 67 0 -{1} 0 38 - -Rank R05 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;3.95] 2.4 3.95 - ]3.95;4.95] 3.95 4.95 - ]4.95;5.95] 4.95 5.95 - ]5.95;+inf[ 5.95 6.9 -SPetalLength Categorical Value groups - {1} 1 - {5} 5 - {4} 4 - {3} 3 - {6} 6 * -Cells -Cell id PetalLength SPetalLength Frequency -C1 ]-inf;2.4] {1} 38 -C9 ]4.95;5.95] {5} 27 -C13 ]3.95;4.95] {4} 25 -C17 ]2.4;3.95] {3} 8 -C25 ]5.95;+inf[ {6} 7 -Confusion matrix - ]-inf;2.4] ]2.4;3.95] ]3.95;4.95] ]4.95;5.95] ]5.95;+inf[ -{1} 38 0 0 0 0 -{5} 0 0 0 27 0 -{4} 0 0 25 0 0 -{3} 0 8 0 0 0 -{6} 0 0 0 0 7 - -Rank R06 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -SPetalLength Categorical Value groups - {1, 5, 6} 1 5 6 * - {4, 3} 4 3 -Cells -Cell id Class2 SPetalLength Frequency -C1 {} {1, 5, 6} 70 -C2 {versicolor} {1, 5, 6} 2 -C3 {} {4, 3} 3 -C4 {versicolor} {4, 3} 30 -Confusion matrix - {} {versicolor} -{1, 5, 6} 70 2 -{4, 3} 3 30 - -Rank R07 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.75] 0.75 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class PetalWidth Frequency -C1 {Iris-setosa} ]-inf;0.75] 38 -C5 {Iris-virginica} ]0.75;1.75] 2 -C6 {Iris-versicolor} ]0.75;1.75] 31 -C8 {Iris-virginica} ]1.75;+inf[ 33 -C9 {Iris-versicolor} ]1.75;+inf[ 1 -Confusion matrix - {Iris-setosa} {Iris-virginica} {Iris-versicolor} -]-inf;0.75] 38 0 0 -]0.75;1.75] 0 2 31 -]1.75;+inf[ 0 33 1 - -Rank R08 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Cell id Class PetalLength Frequency -C1 {Iris-setosa} ]-inf;2.4] 38 -C5 {Iris-virginica} ]2.4;4.85] 1 -C6 {Iris-versicolor} ]2.4;4.85] 29 -C8 {Iris-virginica} ]4.85;+inf[ 34 -C9 {Iris-versicolor} ]4.85;+inf[ 3 -Confusion matrix - {Iris-setosa} {Iris-virginica} {Iris-versicolor} -]-inf;2.4] 38 0 0 -]2.4;4.85] 0 1 29 -]4.85;+inf[ 0 34 3 - -Rank R09 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class1 LowerPetalLength Frequency -C2 {setosa} ]-inf;2.4] 38 -C3 {} ]2.4;+inf[ 67 -Confusion matrix - {} {setosa} -]-inf;2.4] 0 38 -]2.4;+inf[ 67 0 - -Rank R10 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Cell id Class1 PetalLength Frequency -C2 {setosa} ]-inf;2.4] 38 -C3 {} ]2.4;+inf[ 67 -Confusion matrix - {} {setosa} -]-inf;2.4] 0 38 -]2.4;+inf[ 67 0 - -Rank R11 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;+inf[ 0.75 2.5 -Cells -Cell id Class1 PetalWidth Frequency -C2 {setosa} ]-inf;0.75] 38 -C3 {} ]0.75;+inf[ 67 -Confusion matrix - {} {setosa} -]-inf;0.75] 0 38 -]0.75;+inf[ 67 0 - -Rank R12 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.65] 0.75 1.65 - ]1.65;+inf[ 1.65 2.5 -SPetalLength Categorical Value groups - {1} 1 - {5, 6} 5 6 * - {4, 3} 4 3 -Cells -Cell id PetalWidth SPetalLength Frequency -C1 ]-inf;0.75] {1} 38 -C5 ]0.75;1.65] {5, 6} 3 -C6 ]1.65;+inf[ {5, 6} 31 -C8 ]0.75;1.65] {4, 3} 29 -C9 ]1.65;+inf[ {4, 3} 4 -Confusion matrix - ]-inf;0.75] ]0.75;1.65] ]1.65;+inf[ -{1} 38 0 0 -{5, 6} 0 3 31 -{4, 3} 0 29 4 - -Rank R13 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-virginica, Iris-versicolor} Iris-virginica Iris-versicolor * - {Iris-setosa} Iris-setosa -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class LowerPetalLength Frequency -C2 {Iris-setosa} ]-inf;2.4] 38 -C3 {Iris-virginica, Iris-versicolor} ]2.4;+inf[ 67 -Confusion matrix - {Iris-virginica, Iris-versicolor} {Iris-setosa} -]-inf;2.4] 0 38 -]2.4;+inf[ 67 0 - -Rank R14 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SPetalLength Categorical Value groups - {5, 4, 3, ...} 5 4 3 6 * - {1} 1 -Cells -Cell id LowerPetalLength SPetalLength Frequency -C2 ]2.4;+inf[ {5, 4, 3, ...} 67 -C3 ]-inf;2.4] {1} 38 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -{5, 4, 3, ...} 0 67 -{1} 38 0 - -Rank R15 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.75] 2.4 4.75 - ]4.75;+inf[ 4.75 6.9 -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.65] 0.75 1.65 - ]1.65;+inf[ 1.65 2.5 -Cells -Cell id PetalLength PetalWidth Frequency -C1 ]-inf;2.4] ]-inf;0.75] 38 -C5 ]2.4;4.75] ]0.75;1.65] 27 -C6 ]4.75;+inf[ ]0.75;1.65] 5 -C9 ]4.75;+inf[ ]1.65;+inf[ 35 -Confusion matrix - ]-inf;2.4] ]2.4;4.75] ]4.75;+inf[ -]-inf;0.75] 38 0 0 -]0.75;1.65] 0 27 5 -]1.65;+inf[ 0 0 35 - -Rank R16 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa, Iris-versicolor} Iris-setosa Iris-versicolor * - {Iris-virginica} Iris-virginica -UpperPetalWidth Numerical Intervals - ]-inf;1.75] 1.5 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class UpperPetalWidth Frequency -C1 {Iris-setosa, Iris-versicolor} ]-inf;1.75] 69 -C2 {Iris-virginica} ]-inf;1.75] 2 -C3 {Iris-setosa, Iris-versicolor} ]1.75;+inf[ 1 -C4 {Iris-virginica} ]1.75;+inf[ 33 -Confusion matrix - {Iris-setosa, Iris-versicolor} {Iris-virginica} -]-inf;1.75] 69 2 -]1.75;+inf[ 1 33 - -Rank R17 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;1.55] 0.1 1.55 - ]1.55;2.05] 1.55 2.05 - ]2.05;+inf[ 2.05 2.5 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;2.05] 1.55 2.05 - ]2.05;+inf[ 2.05 2.5 -Cells -Cell id PetalWidth UpperPetalWidth Frequency -C1 ]-inf;1.55] ]-inf;1.55] 67 -C5 ]1.55;2.05] ]1.55;2.05] 20 -C9 ]2.05;+inf[ ]2.05;+inf[ 18 -Confusion matrix - ]-inf;1.55] ]1.55;2.05] ]2.05;+inf[ -]-inf;1.55] 67 0 0 -]1.55;2.05] 0 20 0 -]2.05;+inf[ 0 0 18 - -Rank R18 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 3 -PetalLength Numerical Intervals - ]-inf;1.45] 1 1.45 - ]1.45;2.4] 1.45 2.4 - ]2.4;+inf[ 2.4 6.9 -Cells -Cell id LowerPetalLength PetalLength Frequency -C1 ]-inf;1.45] ]-inf;1.45] 17 -C5 ]1.45;2.4] ]1.45;2.4] 21 -C9 ]2.4;+inf[ ]2.4;+inf[ 67 -Confusion matrix - ]-inf;1.45] ]1.45;2.4] ]2.4;+inf[ -]-inf;1.45] 17 0 0 -]1.45;2.4] 0 21 0 -]2.4;+inf[ 0 0 67 - -Rank R19 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.75] 0.75 1.75 - ]1.75;+inf[ 1.75 2.5 -Cells -Cell id Class2 PetalWidth Frequency -C1 {} ]-inf;0.75] 38 -C3 {} ]0.75;1.75] 2 -C4 {versicolor} ]0.75;1.75] 31 -C5 {} ]1.75;+inf[ 33 -C6 {versicolor} ]1.75;+inf[ 1 -Confusion matrix - {} {versicolor} -]-inf;0.75] 38 0 -]0.75;1.75] 2 31 -]1.75;+inf[ 33 1 - -Rank R20 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {5, 4} 5 4 - {1, 3} 1 3 - {6} 6 * -SepalLength Numerical Intervals - ]-inf;5.35] 4.3 5.35 - ]5.35;5.85] 5.35 5.85 - ]5.85;7.15] 5.85 7.15 - ]7.15;+inf[ 7.15 7.7 -Cells -Cell id SPetalLength SepalLength Frequency -C2 {1, 3} ]-inf;5.35] 34 -C4 {5, 4} ]5.35;5.85] 10 -C5 {1, 3} ]5.35;5.85] 12 -C7 {5, 4} ]5.85;7.15] 42 -C12 {6} ]7.15;+inf[ 7 -Confusion matrix - {5, 4} {1, 3} {6} -]-inf;5.35] 0 34 0 -]5.35;5.85] 10 12 0 -]5.85;7.15] 42 0 0 -]7.15;+inf[ 0 0 7 - -Rank R21 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.85] 2.4 4.85 - ]4.85;+inf[ 4.85 6.9 -Cells -Cell id Class2 PetalLength Frequency -C1 {} ]-inf;2.4] 38 -C3 {} ]2.4;4.85] 1 -C4 {versicolor} ]2.4;4.85] 29 -C5 {} ]4.85;+inf[ 34 -C6 {versicolor} ]4.85;+inf[ 3 -Confusion matrix - {} {versicolor} -]-inf;2.4] 38 0 -]2.4;4.85] 1 29 -]4.85;+inf[ 34 3 - -Rank R22 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;+inf[ 0.75 2.5 -Cells -Cell id LowerPetalLength PetalWidth Frequency -C1 ]-inf;2.4] ]-inf;0.75] 38 -C4 ]2.4;+inf[ ]0.75;+inf[ 67 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;0.75] 38 0 -]0.75;+inf[ 0 67 - -Rank R23 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;6.15] 5.45 6.15 - ]6.15;+inf[ 6.15 7.7 -Cells -Cell id Class SepalLength Frequency -C1 {Iris-setosa} ]-inf;5.45] 34 -C3 {Iris-versicolor} ]-inf;5.45] 5 -C4 {Iris-setosa} ]5.45;6.15] 4 -C5 {Iris-virginica} ]5.45;6.15] 5 -C6 {Iris-versicolor} ]5.45;6.15] 19 -C8 {Iris-virginica} ]6.15;+inf[ 30 -C9 {Iris-versicolor} ]6.15;+inf[ 8 -Confusion matrix - {Iris-setosa} {Iris-virginica} {Iris-versicolor} -]-inf;5.45] 34 0 5 -]5.45;6.15] 4 5 19 -]6.15;+inf[ 0 30 8 - -Rank R24 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -Class2 Categorical Value groups - {} - {versicolor} versicolor * -Cells -Cell id Class1 Class2 Frequency -C1 {} {} 35 -C2 {setosa} {} 38 -C3 {} {versicolor} 32 -Confusion matrix - {} {setosa} -{} 35 38 -{versicolor} 32 0 - -Rank R25 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;+inf[ 5.45 7.7 -Cells -Cell id Class1 SepalLength Frequency -C1 {} ]-inf;5.45] 5 -C2 {setosa} ]-inf;5.45] 34 -C3 {} ]5.45;+inf[ 62 -C4 {setosa} ]5.45;+inf[ 4 -Confusion matrix - {} {setosa} -]-inf;5.45] 5 34 -]5.45;+inf[ 62 4 - -Rank R26 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {1, 3} 1 3 - {5, 6} 5 6 * - {4} 4 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id SPetalLength UpperPetalWidth Frequency -C1 {1, 3} ]-inf;1.55] 46 -C2 {5, 6} ]-inf;1.55] 2 -C3 {4} ]-inf;1.55] 19 -C5 {5, 6} ]1.55;+inf[ 32 -C6 {4} ]1.55;+inf[ 6 -Confusion matrix - {1, 3} {5, 6} {4} -]-inf;1.55] 46 2 19 -]1.55;+inf[ 0 32 6 - -Rank R27 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;3.55] 1 3.55 - ]3.55;4.6] 3.55 4.6 - ]4.6;5.95] 4.6 5.95 - ]5.95;+inf[ 5.95 6.9 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.85] 5.45 5.85 - ]5.85;7.15] 5.85 7.15 - ]7.15;+inf[ 7.15 7.7 -Cells -Cell id PetalLength SepalLength Frequency -C1 ]-inf;3.55] ]-inf;5.45] 37 -C2 ]3.55;4.6] ]-inf;5.45] 2 -C5 ]-inf;3.55] ]5.45;5.85] 5 -C6 ]3.55;4.6] ]5.45;5.85] 10 -C7 ]4.6;5.95] ]5.45;5.85] 2 -C10 ]3.55;4.6] ]5.85;7.15] 7 -C11 ]4.6;5.95] ]5.85;7.15] 35 -C16 ]5.95;+inf[ ]7.15;+inf[ 7 -Confusion matrix - ]-inf;3.55] ]3.55;4.6] ]4.6;5.95] ]5.95;+inf[ -]-inf;5.45] 37 2 0 0 -]5.45;5.85] 5 10 2 0 -]5.85;7.15] 0 7 35 0 -]7.15;+inf[ 0 0 0 7 - -Rank R28 - -Data grid Unsupervised -Dimensions -PetalLength Numerical Intervals - ]-inf;4.75] 1 4.75 - ]4.75;+inf[ 4.75 6.9 -UpperPetalWidth Numerical Intervals - ]-inf;1.65] 1.5 1.65 - ]1.65;+inf[ 1.65 2.5 -Cells -Cell id PetalLength UpperPetalWidth Frequency -C1 ]-inf;4.75] ]-inf;1.65] 65 -C2 ]4.75;+inf[ ]-inf;1.65] 5 -C4 ]4.75;+inf[ ]1.65;+inf[ 35 -Confusion matrix - ]-inf;4.75] ]4.75;+inf[ -]-inf;1.65] 65 5 -]1.65;+inf[ 0 35 - -Rank R29 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.35] 0.75 1.35 - ]1.35;+inf[ 1.35 2.5 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;5.85] 5.45 5.85 - ]5.85;+inf[ 5.85 7.7 -Cells -Cell id PetalWidth SepalLength Frequency -C1 ]-inf;0.75] ]-inf;5.45] 34 -C2 ]0.75;1.35] ]-inf;5.45] 3 -C3 ]1.35;+inf[ ]-inf;5.45] 2 -C4 ]-inf;0.75] ]5.45;5.85] 4 -C5 ]0.75;1.35] ]5.45;5.85] 10 -C6 ]1.35;+inf[ ]5.45;5.85] 3 -C8 ]0.75;1.35] ]5.85;+inf[ 5 -C9 ]1.35;+inf[ ]5.85;+inf[ 44 -Confusion matrix - ]-inf;0.75] ]0.75;1.35] ]1.35;+inf[ -]-inf;5.45] 34 3 2 -]5.45;5.85] 4 10 3 -]5.85;+inf[ 0 5 44 - -Rank R30 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -SepalLength Numerical Intervals - ]-inf;5.45] 4.3 5.45 - ]5.45;+inf[ 5.45 7.7 -Cells -Cell id LowerPetalLength SepalLength Frequency -C1 ]-inf;2.4] ]-inf;5.45] 34 -C2 ]2.4;+inf[ ]-inf;5.45] 5 -C3 ]-inf;2.4] ]5.45;+inf[ 4 -C4 ]2.4;+inf[ ]5.45;+inf[ 62 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;5.45] 34 5 -]5.45;+inf[ 4 62 - -Rank R31 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id Class1 UpperPetalWidth Frequency -C1 {} ]-inf;1.55] 29 -C2 {setosa} ]-inf;1.55] 38 -C3 {} ]1.55;+inf[ 38 -Confusion matrix - {} {setosa} -]-inf;1.55] 29 38 -]1.55;+inf[ 38 0 - -Rank R32 - -Data grid Unsupervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.85] 4.3 5.85 - ]5.85;+inf[ 5.85 7.7 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id SepalLength UpperPetalWidth Frequency -C1 ]-inf;5.85] ]-inf;1.55] 54 -C2 ]5.85;+inf[ ]-inf;1.55] 13 -C3 ]-inf;5.85] ]1.55;+inf[ 2 -C4 ]5.85;+inf[ ]1.55;+inf[ 36 -Confusion matrix - ]-inf;5.85] ]5.85;+inf[ -]-inf;1.55] 54 13 -]1.55;+inf[ 2 36 - -Rank R33 - -Data grid Unsupervised -Dimensions -Class1 Categorical Value groups - {} - {setosa} setosa * -SepalWidth Numerical Intervals - ]-inf;2.85] 2 2.85 - ]2.85;3.35] 2.85 3.35 - ]3.35;+inf[ 3.35 4.4 -Cells -Cell id Class1 SepalWidth Frequency -C1 {} ]-inf;2.85] 30 -C3 {} ]2.85;3.35] 32 -C4 {setosa} ]2.85;3.35] 17 -C5 {} ]3.35;+inf[ 5 -C6 {setosa} ]3.35;+inf[ 21 -Confusion matrix - {} {setosa} -]-inf;2.85] 30 0 -]2.85;3.35] 32 17 -]3.35;+inf[ 5 21 - -Rank R34 - -Data grid Unsupervised -Dimensions -Class2 Categorical Value groups - {} - {versicolor} versicolor * -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -Cells -Cell id Class2 LowerPetalLength Frequency -C1 {} ]-inf;2.4] 38 -C3 {} ]2.4;+inf[ 35 -C4 {versicolor} ]2.4;+inf[ 32 -Confusion matrix - {} {versicolor} -]-inf;2.4] 38 0 -]2.4;+inf[ 35 32 - -Rank R35 - -Data grid Unsupervised -Dimensions -Class Categorical Value groups - {Iris-setosa} Iris-setosa - {Iris-virginica} Iris-virginica - {Iris-versicolor} Iris-versicolor * -SepalWidth Numerical Intervals - ]-inf;2.95] 2 2.95 - ]2.95;+inf[ 2.95 4.4 -Cells -Cell id Class SepalWidth Frequency -C1 {Iris-setosa} ]-inf;2.95] 1 -C2 {Iris-virginica} ]-inf;2.95] 13 -C3 {Iris-versicolor} ]-inf;2.95] 22 -C4 {Iris-setosa} ]2.95;+inf[ 37 -C5 {Iris-virginica} ]2.95;+inf[ 22 -C6 {Iris-versicolor} ]2.95;+inf[ 10 -Confusion matrix - {Iris-setosa} {Iris-virginica} {Iris-versicolor} -]-inf;2.95] 1 13 22 -]2.95;+inf[ 37 22 10 - -Rank R36 - -Data grid Unsupervised -Dimensions -LowerPetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;+inf[ 2.4 3 -UpperPetalWidth Numerical Intervals - ]-inf;1.55] 1.5 1.55 - ]1.55;+inf[ 1.55 2.5 -Cells -Cell id LowerPetalLength UpperPetalWidth Frequency -C1 ]-inf;2.4] ]-inf;1.55] 38 -C2 ]2.4;+inf[ ]-inf;1.55] 29 -C4 ]2.4;+inf[ ]1.55;+inf[ 38 -Confusion matrix - ]-inf;2.4] ]2.4;+inf[ -]-inf;1.55] 38 29 -]1.55;+inf[ 0 38 - -Rank R37 - -Data grid Unsupervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.75] 0.1 0.75 - ]0.75;1.45] 0.75 1.45 - ]1.45;+inf[ 1.45 2.5 -SepalWidth Numerical Intervals - ]-inf;2.95] 2 2.95 - ]2.95;+inf[ 2.95 4.4 -Cells -Cell id PetalWidth SepalWidth Frequency -C1 ]-inf;0.75] ]-inf;2.95] 1 -C2 ]0.75;1.45] ]-inf;2.95] 21 -C3 ]1.45;+inf[ ]-inf;2.95] 14 -C4 ]-inf;0.75] ]2.95;+inf[ 37 -C5 ]0.75;1.45] ]2.95;+inf[ 3 -C6 ]1.45;+inf[ ]2.95;+inf[ 29 -Confusion matrix - ]-inf;0.75] ]0.75;1.45] ]1.45;+inf[ -]-inf;2.95] 1 21 14 -]2.95;+inf[ 37 3 29 - -Rank R38 - -Data grid Unsupervised -Dimensions -SPetalLength Categorical Value groups - {4, 3, 6} 4 3 6 * - {1} 1 - {5} 5 -SepalWidth Numerical Intervals - ]-inf;2.95] 2 2.95 - ]2.95;3.25] 2.95 3.25 - ]3.25;+inf[ 3.25 4.4 -Cells -Cell id SPetalLength SepalWidth Frequency -C1 {4, 3, 6} ]-inf;2.95] 26 -C2 {1} ]-inf;2.95] 1 -C3 {5} ]-inf;2.95] 9 -C4 {4, 3, 6} ]2.95;3.25] 10 -C5 {1} ]2.95;3.25] 15 -C6 {5} ]2.95;3.25] 16 -C7 {4, 3, 6} ]3.25;+inf[ 4 -C8 {1} ]3.25;+inf[ 22 -C9 {5} ]3.25;+inf[ 2 -Confusion matrix - {4, 3, 6} {1} {5} -]-inf;2.95] 26 1 9 -]2.95;3.25] 10 15 16 -]3.25;+inf[ 4 22 2 diff --git a/tests/resources/analysis_results/ref_reports/LargeSpiral.txt b/tests/resources/analysis_results/ref_reports/LargeSpiral.txt deleted file mode 100644 index 55f53375..00000000 --- a/tests/resources/analysis_results/ref_reports/LargeSpiral.txt +++ /dev/null @@ -1,4499 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary Spiral -Variables - Categorical 1 - Numerical 9 - Total 10 -Database ./Spiral10000.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 6921 -Learning task Classification analysis -Target variable Class -Main target value 1 -Target descriptive stats - Values 2 - Mode 1 - Mode frequency 3473 -Target variable stats - 0 3448 - 1 3473 -Evaluated variables 9 -Informative variables 9 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 8.84246 - Data cost 4792.58 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Z4 Numerical 0.0681452 20 6921 -17.02891547 19.4818361 0.3035238045 7.987344602 0 2.89037 173.776 4298.21 Sum(Product(X, 0.75), Product(Y, -0.25)) -R2 Z1 Numerical 0.0680193 14 6921 -31.98646564 27.54296154 -0.9641589201 13.29728609 0 2.89037 141.575 4331.01 Sum(X, Y) -R3 Z2 Numerical 0.0656913 12 6921 -29.88621157 34.36234837 1.089127069 14.34098313 0 2.89037 131.357 4352.41 Diff(X, Y) -R4 Z7 Numerical 0.0656239 12 6921 -16.48983359 16.03564531 -0.2975526991 7.05644413 0 2.89037 116.551 4367.54 Sum(Product(X, 0.66), Product(Y, 0.33)) -R5 Z6 Numerical 0.0646533 14 6921 -16.3511413 18.8869841 0.7856032646 7.818980237 0 2.89037 148.503 4340.25 Sum(Product(X, 0.25), Product(Y, -0.75)) -R6 Y Numerical 0.0621941 12 6921 -23.44425663 20.11330762 -1.026642995 9.641534203 0 2.89037 139.193 4361.37 -R7 Z5 Numerical 0.060812 16 6921 -18.32264728 15.82629912 -0.7543612273 7.465107552 0 2.89037 145.026 4362.17 Sum(Product(X, 0.25), Product(Y, 0.75)) -R8 X Numerical 0.0586063 13 6921 -21.91698198 25.02015277 0.06248407446 9.913708966 0 2.89037 141.824 4375.97 -R9 Z3 Numerical 0.0551605 16 6921 -17.60767858 18.40325434 -0.2097976928 7.64127297 0 2.89037 146.146 4388.19 Sum(Product(X, 0.75), Product(Y, 0.25)) - -Detailed variable statistics - -Rank R1 Z4 Numerical - -Data grid Supervised -Dimensions -Z4 Numerical Intervals - ]-inf;-14.54867] -17.02891547 -14.54867 - ]-14.54867;-13.309] -14.54867 -13.309 - ]-13.309;-11.4956] -13.309 -11.4956 - ]-11.4956;-9.467] -11.4956 -9.467 - ]-9.467;-6.86658] -9.467 -6.86658 - ]-6.86658;-4.5779] -6.86658 -4.5779 - ]-4.5779;-3.05916] -4.5779 -3.05916 - ]-3.05916;-2.7347] -3.05916 -2.7347 - ]-2.7347;2.3402] -2.7347 2.3402 - ]2.3402;3.94] 2.3402 3.94 - ]3.94;5.6372] 3.94 5.6372 - ]5.6372;6.9302] 5.6372 6.9302 - ]6.9302;8.3438] 6.9302 8.3438 - ]8.3438;9.5724] 8.3438 9.5724 - ]9.5724;10.9347] 9.5724 10.9347 - ]10.9347;11.9522] 10.9347 11.9522 - ]11.9522;14.381] 11.9522 14.381 - ]14.381;16.4836] 14.381 16.4836 - ]16.4836;17.2675] 16.4836 17.2675 - ]17.2675;+inf[ 17.2675 19.4818361 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-14.54867] 2 160 0.227323 -]-14.54867;-13.309] 46 62 0.00255029 -]-13.309;-11.4956] 139 78 0.0200699 -]-11.4956;-9.467] 107 217 0.0420083 -]-9.467;-6.86658] 322 219 0.0230618 -]-6.86658;-4.5779] 233 416 0.0574184 -]-4.5779;-3.05916] 267 219 0.00574433 -]-3.05916;-2.7347] 83 25 0.037463 -]-2.7347;2.3402] 994 628 0.0967987 -]2.3402;3.94] 186 247 0.00921863 -]3.94;5.6372] 294 139 0.0651504 -]5.6372;6.9302] 169 155 0.00080001 -]6.9302;8.3438] 93 231 0.0672275 -]8.3438;9.5724] 90 127 0.00684062 -]9.5724;10.9347] 143 73 0.0265829 -]10.9347;11.9522] 81 81 2.38009e-06 -]11.9522;14.381] 61 210 0.0963578 -]14.381;16.4836] 119 43 0.042387 -]16.4836;17.2675] 19 35 0.00528964 -]17.2675;+inf[ 0 108 0.167706 - -Rank R2 Z1 Numerical - -Data grid Supervised -Dimensions -Z1 Numerical Intervals - ]-inf;-27.642] -31.98646564 -27.642 - ]-27.642;-22.9554] -27.642 -22.9554 - ]-22.9554;-17.8] -22.9554 -17.8 - ]-17.8;-14.036] -17.8 -14.036 - ]-14.036;-9.2369] -14.036 -9.2369 - ]-9.2369;0.6707] -9.2369 0.6707 - ]0.6707;3.175] 0.6707 3.175 - ]3.175;5.0505] 3.175 5.0505 - ]5.0505;9.81536] 5.0505 9.81536 - ]9.81536;13.895] 9.81536 13.895 - ]13.895;17.606] 13.895 17.606 - ]17.606;22.6609] 17.606 22.6609 - ]22.6609;23.143] 22.6609 23.143 - ]23.143;+inf[ 23.143 27.54296154 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-27.642] 0 135 0.218078 -]-27.642;-22.9554] 154 117 0.00625303 -]-22.9554;-17.8] 146 286 0.0529382 -]-17.8;-14.036] 271 162 0.0334178 -]-14.036;-9.2369] 263 413 0.0380546 -]-9.2369;0.6707] 984 638 0.0900753 -]0.6707;3.175] 391 149 0.133727 -]3.175;5.0505] 230 176 0.0089011 -]5.0505;9.81536] 316 549 0.0724735 -]9.81536;13.895] 294 220 0.0131568 -]13.895;17.606] 132 273 0.0575351 -]17.606;22.6609] 259 174 0.0203985 -]22.6609;23.143] 7 20 0.00753556 -]23.143;+inf[ 1 161 0.247456 - -Rank R3 Z2 Numerical - -Data grid Supervised -Dimensions -Z2 Numerical Intervals - ]-inf;-25.117] -29.88621157 -25.117 - ]-25.117;-19.8352] -25.117 -19.8352 - ]-19.8352;-15.968] -19.8352 -15.968 - ]-15.968;-11.748] -15.968 -11.748 - ]-11.748;-7.0676] -11.748 -7.0676 - ]-7.0676;10.668] -7.0676 10.668 - ]10.668;16.2202] 10.668 16.2202 - ]16.2202;19.479] 16.2202 19.479 - ]19.479;25.294] 19.479 25.294 - ]25.294;28.104] 25.294 28.104 - ]28.104;30.0149] 28.104 30.0149 - ]30.0149;+inf[ 30.0149 34.36234837 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-25.117] 2 147 0.224005 -]-25.117;-19.8352] 204 161 0.00655493 -]-19.8352;-15.968] 92 273 0.112491 -]-15.968;-11.748] 327 200 0.0386919 -]-11.748;-7.0676] 242 420 0.0573428 -]-7.0676;10.668] 1838 1204 0.167404 -]10.668;16.2202] 235 427 0.0669909 -]16.2202;19.479] 174 96 0.0284719 -]19.479;25.294] 169 291 0.0387387 -]25.294;28.104] 120 56 0.0295108 -]28.104;30.0149] 45 63 0.00350711 -]30.0149;+inf[ 0 135 0.22629 - -Rank R4 Z7 Numerical - -Data grid Supervised -Dimensions -Z7 Numerical Intervals - ]-inf;-13.988] -16.48983359 -13.988 - ]-13.988;-13.3828] -13.988 -13.3828 - ]-13.3828;-11.753] -13.3828 -11.753 - ]-11.753;-9.00694] -11.753 -9.00694 - ]-9.00694;-7.0572] -9.00694 -7.0572 - ]-7.0572;-4.8306] -7.0572 -4.8306 - ]-4.8306;2.4982] -4.8306 2.4982 - ]2.4982;4.68089] 2.4982 4.68089 - ]4.68089;7.1345] 4.68089 7.1345 - ]7.1345;9.52288] 7.1345 9.52288 - ]9.52288;11.9428] 9.52288 11.9428 - ]11.9428;+inf[ 11.9428 16.03564531 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-13.988] 3 159 0.246168 -]-13.988;-13.3828] 20 34 0.00454117 -]-13.3828;-11.753] 141 76 0.0257447 -]-11.753;-9.00694] 152 280 0.0477927 -]-9.00694;-7.0572] 278 155 0.0461875 -]-7.0572;-4.8306] 218 376 0.052652 -]-4.8306;2.4982] 1568 974 0.183655 -]2.4982;4.68089] 238 465 0.0928303 -]4.68089;7.1345] 385 264 0.0299793 -]7.1345;9.52288] 168 318 0.0584765 -]9.52288;11.9428] 236 143 0.0301797 -]11.9428;+inf[ 41 229 0.181793 - -Rank R5 Z6 Numerical - -Data grid Supervised -Dimensions -Z6 Numerical Intervals - ]-inf;-13.8954] -16.3511413 -13.8954 - ]-13.8954;-13.1156] -13.8954 -13.1156 - ]-13.1156;-10.8626] -13.1156 -10.8626 - ]-10.8626;-8.909269] -10.8626 -8.909269 - ]-8.909269;-6.3885] -8.909269 -6.3885 - ]-6.3885;-3.9877] -6.3885 -3.9877 - ]-3.9877;-2.894] -3.9877 -2.894 - ]-2.894;6.2747] -2.894 6.2747 - ]6.2747;7.8143] 6.2747 7.8143 - ]7.8143;10.9556] 7.8143 10.9556 - ]10.9556;13.613] 10.9556 13.613 - ]13.613;15.66] 13.613 15.66 - ]15.66;16.5086] 15.66 16.5086 - ]16.5086;+inf[ 16.5086 18.8869841 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-13.8954] 1 134 0.20821 -]-13.8954;-13.1156] 23 58 0.0183646 -]-13.1156;-10.8626] 170 101 0.0218077 -]-10.8626;-8.909269] 73 238 0.108657 -]-8.909269;-6.3885] 305 208 0.0228754 -]-6.3885;-3.9877] 240 423 0.0595299 -]-3.9877;-2.894] 179 186 0.0001056 -]-2.894;6.2747] 1720 1064 0.192003 -]6.2747;7.8143] 119 246 0.0527894 -]7.8143;10.9556] 316 279 0.00307728 -]10.9556;13.613] 130 289 0.0725108 -]13.613;15.66] 151 79 0.0279929 -]15.66;16.5086] 21 46 0.011197 -]16.5086;+inf[ 0 122 0.20088 - -Rank R6 Y Numerical - -Data grid Supervised -Dimensions -Y Numerical Intervals - ]-inf;-20.35719] -23.44425663 -20.35719 - ]-20.35719;-19.507] -20.35719 -19.507 - ]-19.507;-16.4655] -19.507 -16.4655 - ]-16.4655;-14.196] -16.4655 -14.196 - ]-14.196;-10.071] -14.196 -10.071 - ]-10.071;-7.2095] -10.071 -7.2095 - ]-7.2095;3.825659] -7.2095 3.825659 - ]3.825659;7.5927] 3.825659 7.5927 - ]7.5927;10.239762] 7.5927 10.239762 - ]10.239762;13.58308] 10.239762 13.58308 - ]13.58308;17.206] 13.58308 17.206 - ]17.206;+inf[ 17.206 20.11330762 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-20.35719] 0 115 0.196458 -]-20.35719;-19.507] 19 48 0.0158166 -]-19.507;-16.4655] 167 104 0.0188776 -]-16.4655;-14.196] 78 212 0.0784985 -]-14.196;-10.071] 329 273 0.00697323 -]-10.071;-7.2095] 192 362 0.0641625 -]-7.2095;3.825659] 1729 1063 0.204711 -]3.825659;7.5927] 351 520 0.0393802 -]7.5927;10.239762] 261 165 0.0278964 -]10.239762;13.58308] 144 336 0.09614 -]13.58308;17.206] 178 133 0.00850192 -]17.206;+inf[ 0 142 0.242583 - -Rank R7 Z5 Numerical - -Data grid Supervised -Dimensions -Z5 Numerical Intervals - ]-inf;-16.10333] -18.32264728 -16.10333 - ]-16.10333;-15.362] -16.10333 -15.362 - ]-15.362;-12.9261] -15.362 -12.9261 - ]-12.9261;-10.18919] -12.9261 -10.18919 - ]-10.18919;-8.24059] -10.18919 -8.24059 - ]-8.24059;-5.53] -8.24059 -5.53 - ]-5.53;0.1525] -5.53 0.1525 - ]0.1525;2.4952] 0.1525 2.4952 - ]2.4952;3.3035] 2.4952 3.3035 - ]3.3035;5.693] 3.3035 5.693 - ]5.693;8.1217] 5.693 8.1217 - ]8.1217;9.6319] 8.1217 9.6319 - ]9.6319;10.76244] 9.6319 10.76244 - ]10.76244;13.053] 10.76244 13.053 - ]13.053;13.6977] 13.053 13.6977 - ]13.6977;+inf[ 13.6977 15.82629912 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-16.10333] 0 108 0.1898 -]-16.10333;-15.362] 12 42 0.0222187 -]-15.362;-12.9261] 162 109 0.0137868 -]-12.9261;-10.18919] 138 294 0.0720061 -]-10.18919;-8.24059] 231 148 0.0241225 -]-8.24059;-5.53] 264 384 0.0273886 -]-5.53;0.1525] 960 663 0.0724122 -]0.1525;2.4952] 650 323 0.145834 -]2.4952;3.3035] 144 126 0.00170054 -]3.3035;5.693] 269 488 0.0798995 -]5.693;8.1217] 316 225 0.0204458 -]8.1217;9.6319] 71 199 0.0793479 -]9.6319;10.76244] 68 94 0.00510398 -]10.76244;13.053] 157 114 0.00913184 -]13.053;13.6977] 6 48 0.0470016 -]13.6977;+inf[ 0 108 0.1898 - -Rank R8 X Numerical - -Data grid Supervised -Dimensions -X Numerical Intervals - ]-inf;-18.42] -21.91698198 -18.42 - ]-18.42;-14.7465] -18.42 -14.7465 - ]-14.7465;-12.3476] -14.7465 -12.3476 - ]-12.3476;-9.1214] -12.3476 -9.1214 - ]-9.1214;-5.05664] -9.1214 -5.05664 - ]-5.05664;2.846] -5.05664 2.846 - ]2.846;5.1752] 2.846 5.1752 - ]5.1752;9.07005] 5.1752 9.07005 - ]9.07005;12.353] 9.07005 12.353 - ]12.353;15.432] 12.353 15.432 - ]15.432;18.19] 15.432 18.19 - ]18.19;21.669] 18.19 21.669 - ]21.669;+inf[ 21.669 25.02015277 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-18.42] 3 173 0.276577 -]-18.42;-14.7465] 200 138 0.0154835 -]-14.7465;-12.3476] 66 191 0.0814638 -]-12.3476;-9.1214] 347 207 0.0479026 -]-9.1214;-5.05664] 352 513 0.0377526 -]-5.05664;2.846] 1274 781 0.160206 -]2.846;5.1752] 195 318 0.0376335 -]5.1752;9.07005] 457 314 0.0360987 -]9.07005;12.353] 178 335 0.0621189 -]12.353;15.432] 243 176 0.0146494 -]15.432;18.19] 53 191 0.106607 -]18.19;21.669] 80 68 0.00138387 -]21.669;+inf[ 0 68 0.122123 - -Rank R9 Z3 Numerical - -Data grid Supervised -Dimensions -Z3 Numerical Intervals - ]-inf;-15.004] -17.60767858 -15.004 - ]-15.004;-13.803] -15.004 -13.803 - ]-13.803;-12.3889] -13.803 -12.3889 - ]-12.3889;-11.28705] -12.3889 -11.28705 - ]-11.28705;-10.219268] -11.28705 -10.219268 - ]-10.219268;-9.277] -10.219268 -9.277 - ]-9.277;-7.5179] -9.277 -7.5179 - ]-7.5179;-4.902] -7.5179 -4.902 - ]-4.902;-0.2223] -4.902 -0.2223 - ]-0.2223;-0.0331] -0.2223 -0.0331 - ]-0.0331;2.3106] -0.0331 2.3106 - ]2.3106;4.9736] 2.3106 4.9736 - ]4.9736;7.3306] 4.9736 7.3306 - ]7.3306;9.6114] 7.3306 9.6114 - ]9.6114;12.46885] 9.6114 12.46885 - ]12.46885;+inf[ 12.46885 18.40325434 -Class Categorical Values - 0 - 1 -Cells -Interval 0 1 Interest -]-inf;-15.004] 1 161 0.291675 -]-15.004;-13.803] 50 58 0.00074107 -]-13.803;-12.3889] 114 49 0.0374529 -]-12.3889;-11.28705] 74 88 0.00153579 -]-11.28705;-10.219268] 34 128 0.0792967 -]-10.219268;-9.277] 74 88 0.00153579 -]-9.277;-7.5179] 240 139 0.0386284 -]-7.5179;-4.902] 258 391 0.0365841 -]-4.902;-0.2223] 888 571 0.0990444 -]-0.2223;-0.0331] 18 36 0.00826607 -]-0.0331;2.3106] 527 285 0.103535 -]2.3106;4.9736] 321 490 0.0473099 -]4.9736;7.3306] 351 243 0.0283505 -]7.3306;9.6114] 150 283 0.0560065 -]9.6114;12.46885] 279 208 0.0150594 -]12.46885;+inf[ 69 255 0.154978 - - -Report Modeling - -Dictionary Spiral -Database ./Spiral10000.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable Class -Main target value 1 - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Data Grid Data Grid 9 - -Detailed trained predictors - - -Report Evaluation Train - -Dictionary Spiral -Database ./Spiral10000.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 6921 -Learning task Classification analysis -Target variable Class -Main target value 1 - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Data Grid Data Grid 0.968646 0.875312 0.995022 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - 0 1 -$0 3335 104 -$1 113 3369 - -Lift curves 0 -Size Random Optimal Data Grid -0.0 0.0 0 0 -0.1 0.1 0.200725 0.200725 -0.2 0.2 0.40145 0.40145 -0.3 0.3 0.602175 0.602175 -0.4 0.4 0.8029 0.8029 -0.5 0.5 1.00363 1.00363 -0.6 0.6 1.20435 1.20435 -0.7 0.7 1.40508 1.40508 -0.8 0.8 1.6058 1.6058 -0.9 0.9 1.80653 1.80653 -1.0 1.0 2.00725 2.00725 -1.1 1.1 2.20798 2.20798 -1.2 1.2 2.4087 2.4087 -1.3 1.3 2.60943 2.60943 -1.4 1.4 2.81015 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100 100 -96.0 96.0 100 100 -96.1 96.1 100 100 -96.2 96.2 100 100 -96.3 96.3 100 100 -96.4 96.4 100 100 -96.5 96.5 100 100 -96.6 96.6 100 100 -96.7 96.7 100 100 -96.8 96.8 100 100 -96.9 96.9 100 100 -97.0 97.0 100 100 -97.1 97.1 100 100 -97.2 97.2 100 100 -97.3 97.3 100 100 -97.4 97.4 100 100 -97.5 97.5 100 100 -97.6 97.6 100 100 -97.7 97.7 100 100 -97.8 97.8 100 100 -97.9 97.9 100 100 -98.0 98.0 100 100 -98.1 98.1 100 100 -98.2 98.2 100 100 -98.3 98.3 100 100 -98.4 98.4 100 100 -98.5 98.5 100 100 -98.6 98.6 100 100 -98.7 98.7 100 100 -98.8 98.8 100 100 -98.9 98.9 100 100 -99.0 99.0 100 100 -99.1 99.1 100 100 -99.2 99.2 100 100 -99.3 99.3 100 100 -99.4 99.4 100 100 -99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 - - -Report Evaluation Test - -Dictionary Spiral -Database ./Spiral10000.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 3079 -Learning task Classification analysis -Target variable Class -Main target value 1 - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Data Grid Data Grid 0.934394 0.559439 0.966119 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - 0 1 -$0 1412 81 -$1 121 1465 - -Lift curves 0 -Size Random Optimal Data Grid -0.0 0.0 0 0 -0.1 0.1 0.200848 0.195827 -0.2 0.2 0.401696 0.391654 -0.3 0.3 0.602544 0.58748 -0.4 0.4 0.803392 0.783307 -0.5 0.5 1.00424 0.979134 -0.6 0.6 1.20509 1.17496 -0.7 0.7 1.40594 1.37079 -0.8 0.8 1.60678 1.56661 -0.9 0.9 1.80763 1.76244 -1.0 1.0 2.00848 1.95827 -1.1 1.1 2.20933 2.15409 -1.2 1.2 2.41018 2.34992 -1.3 1.3 2.61102 2.54579 -1.4 1.4 2.81187 2.74664 -1.5 1.5 3.01272 2.94749 -1.6 1.6 3.21357 3.14834 -1.7 1.7 3.41442 3.34918 -1.8 1.8 3.61526 3.55003 -1.9 1.9 3.81611 3.75088 -2.0 2.0 4.01696 3.95173 -2.1 2.1 4.21781 4.15258 -2.2 2.2 4.41866 4.35342 -2.3 2.3 4.6195 4.55427 -2.4 2.4 4.82035 4.75512 -2.5 2.5 5.0212 4.95597 -2.6 2.6 5.22205 5.15682 -2.7 2.7 5.4229 5.35766 -2.8 2.8 5.62374 5.55851 -2.9 2.9 5.82459 5.75936 -3.0 3.0 6.02544 5.96021 -3.1 3.1 6.22629 6.16106 -3.2 3.2 6.42714 6.3619 -3.3 3.3 6.62798 6.56275 -3.4 3.4 6.82883 6.7636 -3.5 3.5 7.02968 6.96445 -3.6 3.6 7.23053 7.1653 -3.7 3.7 7.43138 7.36614 -3.8 3.8 7.63222 7.56699 -3.9 3.9 7.83307 7.76784 -4.0 4.0 8.03392 7.96869 -4.1 4.1 8.23477 8.16954 -4.2 4.2 8.43562 8.37038 -4.3 4.3 8.63646 8.57123 -4.4 4.4 8.83731 8.77208 -4.5 4.5 9.03816 8.97293 -4.6 4.6 9.23901 9.17378 -4.7 4.7 9.43986 9.37462 -4.8 4.8 9.6407 9.56817 -4.9 4.9 9.84155 9.75646 -5.0 5.0 10.0424 9.94476 -5.1 5.1 10.2432 10.1331 -5.2 5.2 10.4441 10.3213 -5.3 5.3 10.6449 10.5145 -5.4 5.4 10.8458 10.7153 -5.5 5.5 11.0466 10.9162 -5.6 5.6 11.2475 11.117 -5.7 5.7 11.4483 11.3179 -5.8 5.8 11.6492 11.5187 -5.9 5.9 11.85 11.7196 -6.0 6.0 12.0509 11.9204 -6.1 6.1 12.2517 12.1213 -6.2 6.2 12.4526 12.3221 -6.3 6.3 12.6534 12.523 -6.4 6.4 12.8543 12.7238 -6.5 6.5 13.0551 12.9247 -6.6 6.6 13.256 13.1255 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/dev/null @@ -1,2120 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary MultipleEncodings -Variables - Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Latin -Selection value 1 -Instances 20 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 2 - Mode ASCII - Mode frequency 10 -Target variable stats - ASCII 10 - UTF8 Latin 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 3.04452 - Data cost 12.1268 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.569655 2 2 10 0.693147 6.13404 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<é>} <é> * -Type Categorical Values - ASCII - UTF8 Latin -Cells -Value group ASCII UTF8 Latin Interest -{} 10 0 0.5 -{<é>} 0 10 0.5 - -Input values - 10 - <é> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Latin -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.569655 1 0.754755 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Latin -Selection value 1 -Instances 20 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.976385 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ASCII UTF8 Latin -$ASCII 10 0 -$UTF8 Latin 0 10 - -Lift curves ASCII -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.2 0.2 -0.2 0.2 0.4 0.4 -0.3 0.3 0.6 0.6 -0.4 0.4 0.8 0.8 -0.5 0.5 1 1 -0.6 0.6 1.2 1.2 -0.7 0.7 1.4 1.4 -0.8 0.8 1.6 1.6 -0.9 0.9 1.8 1.8 -1.0 1.0 2 2 -1.1 1.1 2.2 2.2 -1.2 1.2 2.4 2.4 -1.3 1.3 2.6 2.6 -1.4 1.4 2.8 2.8 -1.5 1.5 3 3 -1.6 1.6 3.2 3.2 -1.7 1.7 3.4 3.4 -1.8 1.8 3.6 3.6 -1.9 1.9 3.8 3.8 -2.0 2.0 4 4 -2.1 2.1 4.2 4.2 -2.2 2.2 4.4 4.4 -2.3 2.3 4.6 4.6 -2.4 2.4 4.8 4.8 -2.5 2.5 5 5 -2.6 2.6 5.2 5.2 -2.7 2.7 5.4 5.4 -2.8 2.8 5.6 5.6 -2.9 2.9 5.8 5.8 -3.0 3.0 6 6 -3.1 3.1 6.2 6.2 -3.2 3.2 6.4 6.4 -3.3 3.3 6.6 6.6 -3.4 3.4 6.8 6.8 -3.5 3.5 7 7 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100 100 -99.2 99.2 100 100 -99.3 99.3 100 100 -99.4 99.4 100 100 -99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/LatinGreek.txt b/tests/resources/analysis_results/ref_reports/LatinGreek.txt deleted file mode 100644 index 447ff453..00000000 --- a/tests/resources/analysis_results/ref_reports/LatinGreek.txt +++ /dev/null @@ -1,3130 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary MultipleEncodings -Variables - Categorical 2 - Total 2 -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable LatinGreek -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type -Target descriptive stats - Values 3 - Mode ASCII - Mode frequency 10 -Target variable stats - ASCII 10 - UTF8 Greek 10 - UTF8 Latin 10 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 6.20658 - Data cost 29.345 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Char Categorical 0.522457 3 3 10 0.693147 16.6153 0 - -Detailed variable statistics - -Rank R1 Char Categorical - -Data grid Supervised -Dimensions -Char Categorical Value groups - {} - {<é>} <é> - {<θ>} <θ> * -Type Categorical Values - ASCII - UTF8 Greek - UTF8 Latin -Cells -Value group ASCII UTF8 Greek UTF8 Latin Interest -{} 10 0 0 0.333333 -{<é>} 0 0 10 0.333333 -{<θ>} 0 10 0 0.333333 - -Input values - 10 - <é> 10 - <θ> 10 - - -Report Modeling - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable LatinGreek -Selection value 1 -Learning task Classification analysis -Target variable Type - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PChar Char 0.522457 1 0.722812 - - -Report Evaluation Train - -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable LatinGreek -Selection value 1 -Instances 30 -Learning task Classification analysis -Target variable Type - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 1 0.984513 1 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - ASCII UTF8 Greek UTF8 Latin -$ASCII 10 0 0 -$UTF8 Greek 0 10 0 -$UTF8 Latin 0 0 10 - -Lift curves ASCII -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.3 0.3 -0.2 0.2 0.6 0.6 -0.3 0.3 0.9 0.9 -0.4 0.4 1.2 1.2 -0.5 0.5 1.5 1.5 -0.6 0.6 1.8 1.8 -0.7 0.7 2.1 2.1 -0.8 0.8 2.4 2.4 -0.9 0.9 2.7 2.7 -1.0 1.0 3 3 -1.1 1.1 3.3 3.3 -1.2 1.2 3.6 3.6 -1.3 1.3 3.9 3.9 -1.4 1.4 4.2 4.2 -1.5 1.5 4.5 4.5 -1.6 1.6 4.8 4.8 -1.7 1.7 5.1 5.1 -1.8 1.8 5.4 5.4 -1.9 1.9 5.7 5.7 -2.0 2.0 6 6 -2.1 2.1 6.3 6.3 -2.2 2.2 6.6 6.6 -2.3 2.3 6.9 6.9 -2.4 2.4 7.2 7.2 -2.5 2.5 7.5 7.5 -2.6 2.6 7.8 7.8 -2.7 2.7 8.1 8.1 -2.8 2.8 8.4 8.4 -2.9 2.9 8.7 8.7 -3.0 3.0 9 9 -3.1 3.1 9.3 9.3 -3.2 3.2 9.6 9.6 -3.3 3.3 9.9 9.9 -3.4 3.4 10.2 10.2 -3.5 3.5 10.5 10.5 -3.6 3.6 10.8 10.8 -3.7 3.7 11.1 11.1 -3.8 3.8 11.4 11.4 -3.9 3.9 11.7 11.7 -4.0 4.0 12 12 -4.1 4.1 12.3 12.3 -4.2 4.2 12.6 12.6 -4.3 4.3 12.9 12.9 -4.4 4.4 13.2 13.2 -4.5 4.5 13.5 13.5 -4.6 4.6 13.8 13.8 -4.7 4.7 14.1 14.1 -4.8 4.8 14.4 14.4 -4.9 4.9 14.7 14.7 -5.0 5.0 15 15 -5.1 5.1 15.3 15.3 -5.2 5.2 15.6 15.6 -5.3 5.3 15.9 15.9 -5.4 5.4 16.2 16.2 -5.5 5.5 16.5 16.5 -5.6 5.6 16.8 16.8 -5.7 5.7 17.1 17.1 -5.8 5.8 17.4 17.4 -5.9 5.9 17.7 17.7 -6.0 6.0 18 18 -6.1 6.1 18.3 18.3 -6.2 6.2 18.6 18.6 -6.3 6.3 18.9 18.9 -6.4 6.4 19.2 19.2 -6.5 6.5 19.5 19.5 -6.6 6.6 19.8 19.8 -6.7 6.7 20.1 20.1 -6.8 6.8 20.4 20.4 -6.9 6.9 20.7 20.7 -7.0 7.0 21 21 -7.1 7.1 21.3 21.3 -7.2 7.2 21.6 21.6 -7.3 7.3 21.9 21.9 -7.4 7.4 22.2 22.2 -7.5 7.5 22.5 22.5 -7.6 7.6 22.8 22.8 -7.7 7.7 23.1 23.1 -7.8 7.8 23.4 23.4 -7.9 7.9 23.7 23.7 -8.0 8.0 24 24 -8.1 8.1 24.3 24.3 -8.2 8.2 24.6 24.6 -8.3 8.3 24.9 24.9 -8.4 8.4 25.2 25.2 -8.5 8.5 25.5 25.5 -8.6 8.6 25.8 25.8 -8.7 8.7 26.1 26.1 -8.8 8.8 26.4 26.4 -8.9 8.9 26.7 26.7 -9.0 9.0 27 27 -9.1 9.1 27.3 27.3 -9.2 9.2 27.6 27.6 -9.3 9.3 27.9 27.9 -9.4 9.4 28.2 28.2 -9.5 9.5 28.5 28.5 -9.6 9.6 28.8 28.8 -9.7 9.7 29.1 29.1 -9.8 9.8 29.4 29.4 -9.9 9.9 29.7 29.7 -10.0 10.0 30 30 -10.1 10.1 30.3 30.3 -10.2 10.2 30.6 30.6 -10.3 10.3 30.9 30.9 -10.4 10.4 31.2 31.2 -10.5 10.5 31.5 31.5 -10.6 10.6 31.8 31.8 -10.7 10.7 32.1 32.1 -10.8 10.8 32.4 32.4 -10.9 10.9 32.7 32.7 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47.4 47.4 -15.9 15.9 47.7 47.7 -16.0 16.0 48 48 -16.1 16.1 48.3 48.3 -16.2 16.2 48.6 48.6 -16.3 16.3 48.9 48.9 -16.4 16.4 49.2 49.2 -16.5 16.5 49.5 49.5 -16.6 16.6 49.8 49.8 -16.7 16.7 50.1 50.1 -16.8 16.8 50.4 50.4 -16.9 16.9 50.7 50.7 -17.0 17.0 51 51 -17.1 17.1 51.3 51.3 -17.2 17.2 51.6 51.6 -17.3 17.3 51.9 51.9 -17.4 17.4 52.2 52.2 -17.5 17.5 52.5 52.5 -17.6 17.6 52.8 52.8 -17.7 17.7 53.1 53.1 -17.8 17.8 53.4 53.4 -17.9 17.9 53.7 53.7 -18.0 18.0 54 54 -18.1 18.1 54.3 54.3 -18.2 18.2 54.6 54.6 -18.3 18.3 54.9 54.9 -18.4 18.4 55.2 55.2 -18.5 18.5 55.5 55.5 -18.6 18.6 55.8 55.8 -18.7 18.7 56.1 56.1 -18.8 18.8 56.4 56.4 -18.9 18.9 56.7 56.7 -19.0 19.0 57 57 -19.1 19.1 57.3 57.3 -19.2 19.2 57.6 57.6 -19.3 19.3 57.9 57.9 -19.4 19.4 58.2 58.2 -19.5 19.5 58.5 58.5 -19.6 19.6 58.8 58.8 -19.7 19.7 59.1 59.1 -19.8 19.8 59.4 59.4 -19.9 19.9 59.7 59.7 -20.0 20.0 60 60 -20.1 20.1 60.3 60.3 -20.2 20.2 60.6 60.6 -20.3 20.3 60.9 60.9 -20.4 20.4 61.2 61.2 -20.5 20.5 61.5 61.5 -20.6 20.6 61.8 61.8 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100 100 -89.1 89.1 100 100 -89.2 89.2 100 100 -89.3 89.3 100 100 -89.4 89.4 100 100 -89.5 89.5 100 100 -89.6 89.6 100 100 -89.7 89.7 100 100 -89.8 89.8 100 100 -89.9 89.9 100 100 -90.0 90.0 100 100 -90.1 90.1 100 100 -90.2 90.2 100 100 -90.3 90.3 100 100 -90.4 90.4 100 100 -90.5 90.5 100 100 -90.6 90.6 100 100 -90.7 90.7 100 100 -90.8 90.8 100 100 -90.9 90.9 100 100 -91.0 91.0 100 100 -91.1 91.1 100 100 -91.2 91.2 100 100 -91.3 91.3 100 100 -91.4 91.4 100 100 -91.5 91.5 100 100 -91.6 91.6 100 100 -91.7 91.7 100 100 -91.8 91.8 100 100 -91.9 91.9 100 100 -92.0 92.0 100 100 -92.1 92.1 100 100 -92.2 92.2 100 100 -92.3 92.3 100 100 -92.4 92.4 100 100 -92.5 92.5 100 100 -92.6 92.6 100 100 -92.7 92.7 100 100 -92.8 92.8 100 100 -92.9 92.9 100 100 -93.0 93.0 100 100 -93.1 93.1 100 100 -93.2 93.2 100 100 -93.3 93.3 100 100 -93.4 93.4 100 100 -93.5 93.5 100 100 -93.6 93.6 100 100 -93.7 93.7 100 100 -93.8 93.8 100 100 -93.9 93.9 100 100 -94.0 94.0 100 100 -94.1 94.1 100 100 -94.2 94.2 100 100 -94.3 94.3 100 100 -94.4 94.4 100 100 -94.5 94.5 100 100 -94.6 94.6 100 100 -94.7 94.7 100 100 -94.8 94.8 100 100 -94.9 94.9 100 100 -95.0 95.0 100 100 -95.1 95.1 100 100 -95.2 95.2 100 100 -95.3 95.3 100 100 -95.4 95.4 100 100 -95.5 95.5 100 100 -95.6 95.6 100 100 -95.7 95.7 100 100 -95.8 95.8 100 100 -95.9 95.9 100 100 -96.0 96.0 100 100 -96.1 96.1 100 100 -96.2 96.2 100 100 -96.3 96.3 100 100 -96.4 96.4 100 100 -96.5 96.5 100 100 -96.6 96.6 100 100 -96.7 96.7 100 100 -96.8 96.8 100 100 -96.9 96.9 100 100 -97.0 97.0 100 100 -97.1 97.1 100 100 -97.2 97.2 100 100 -97.3 97.3 100 100 -97.4 97.4 100 100 -97.5 97.5 100 100 -97.6 97.6 100 100 -97.7 97.7 100 100 -97.8 97.8 100 100 -97.9 97.9 100 100 -98.0 98.0 100 100 -98.1 98.1 100 100 -98.2 98.2 100 100 -98.3 98.3 100 100 -98.4 98.4 100 100 -98.5 98.5 100 100 -98.6 98.6 100 100 -98.7 98.7 100 100 -98.8 98.8 100 100 -98.9 98.9 100 100 -99.0 99.0 100 100 -99.1 99.1 100 100 -99.2 99.2 100 100 -99.3 99.3 100 100 -99.4 99.4 100 100 -99.5 99.5 100 100 -99.6 99.6 100 100 -99.7 99.7 100 100 -99.8 99.8 100 100 -99.9 99.9 100 100 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt b/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt deleted file mode 100644 index b0aea82b..00000000 --- a/tests/resources/analysis_results/ref_reports/MissingDiscretization.txt +++ /dev/null @@ -1,65 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary IrisMissing -Variables - Categorical 1 - Numerical 1 - Total 2 -Database ./IrisMissing.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value -Instances 150 -Learning task Classification analysis -Target variable Class -Target descriptive stats - Values 3 - Mode Iris-setosa - Mode frequency 50 -Target variable stats - Iris-setosa 50 - Iris-versicolor 50 - Iris-virginica 50 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 9.34801 - Data cost 159.587 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 PW_UM40 Numerical 0.65628 4 16 0.1 1.8 0.8654545455 0.5961141385 40 0.693147 41.7703 15.8411 - -Detailed variable statistics - -Rank R1 PW_UM40 Numerical - -Data grid Supervised -Dimensions -PW_UM40 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.65] 0.8 1.65 - ]1.65;+inf[ 1.65 1.8 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 0 40 0.300596 -]-inf;0.8] 50 0 0 0.375745 -]0.8;1.65] 0 48 4 0.294313 -]1.65;+inf[ 0 2 6 0.0293466 diff --git a/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt b/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt deleted file mode 100644 index 7a569649..00000000 --- a/tests/resources/analysis_results/ref_reports/MissingMODLEqualWidth.txt +++ /dev/null @@ -1,491 +0,0 @@ -Tool Khiops -Version 10.0.0.3i -Short description - - -Report Preparation - -Dictionary IrisMissing -Variables - Categorical 1 - Numerical 23 - Total 24 -Database ./IrisMissing.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value -Instances 150 -Learning task Classification analysis -Target variable Class -Target descriptive stats - Values 3 - Mode Iris-setosa - Mode frequency 50 -Target variable stats - Iris-setosa 50 - Iris-versicolor 50 - Iris-virginica 50 -Evaluated variables 23 -Informative variables 21 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODLEqualWidth -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 9.34801 - Data cost 159.587 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R01 PW_UM20 Numerical 0.89704 6 19 0.1 2.1 1.029230769 0.6707568806 20 3.82864 0 0 -R02 PW_MM40 Numerical 0.891562 4 19 0.1 2.5 1.162727273 0.88089408 40 3.82864 0 0 -R03 PW_MM20 Numerical 0.884611 4 22 0.1 2.5 1.180769231 0.8152485373 20 3.82864 0 0 -R04 PW_UM10 Numerical 0.881639 5 21 0.1 2.3 1.113571429 0.7146638285 10 3.82864 0 0 -R05 PW_LM40 Numerical 0.877555 6 21 0.3 2.5 1.561818182 0.5415435546 40 3.82864 0 0 -R06 PW_MM10 Numerical 0.876232 4 23 0.1 2.5 1.190714286 0.7866653335 10 3.82864 0 0 -R07 PW_MM5 Numerical 0.872777 4 23 0.1 2.5 1.195172414 0.7733787076 5 3.82864 0 0 -R08 PW_LM10 Numerical 0.869675 4 22 0.2 2.5 1.274285714 0.730691593 10 3.82864 0 0 -R09 PW_LM20 Numerical 0.869675 4 22 0.2 2.5 1.356923077 0.692369228 20 3.82864 0 0 -R10 PW_LM5 Numerical 0.869675 4 23 0.1 2.5 1.236551724 0.7452667926 5 3.82864 0 0 -R11 PetalWidth Numerical 0.869675 3 22 0.1 2.5 1.198666667 0.7606126186 0 3.82864 0 0 -R12 PW_UM5 Numerical 0.865341 4 22 0.1 2.4 1.155172414 0.7359658008 5 3.82864 0 0 -R13 PW_RM5 Numerical 0.850458 4 23 0.1 2.5 1.217931034 0.7590074249 5 3.82864 0 0 -R14 PW_UM40 Numerical 0.835953 3 16 0.1 1.8 0.8654545455 0.5961141385 40 3.82864 0 0 -R15 PetalLength Numerical 0.83577 3 43 1 6.9 3.758666667 1.758529183 0 3.82864 0 0 -R16 PW_RM10 Numerical 0.809289 4 23 0.1 2.5 1.22 0.7533923281 10 3.82864 0 0 -R17 PW_RM20 Numerical 0.76144 4 23 0.1 2.5 1.237692308 0.7559268773 20 3.82864 0 0 -R18 PW_RM40 Numerical 0.629561 4 23 0.1 2.5 1.246363636 0.7555464335 40 3.82864 0 0 -R19 PW_RM80 Numerical 0.400545 4 22 0.1 2.5 1.278571429 0.7224744893 80 3.82864 0 0 -R20 SepalLength Numerical 0.38626 3 35 4.3 7.9 5.843333333 0.8253012918 0 3.82864 0 0 -R21 SepalWidth Numerical 0.242191 5 23 2 4.4 3.054 0.4321465801 0 3.82864 0 0 -R22 Constant Numerical 0 1 1 0 0 0 0 0 3.82864 0 0 Copy(0) -R23 PW_allM Numerical 0 1 1 None None None None 150 3.82864 0 0 - -Detailed variable statistics - -Rank R01 PW_UM20 Numerical - -Data grid Supervised -Dimensions -PW_UM20 Numerical Intervals - Missing - ]-inf;0.55] 0.1 0.55 - ]0.55;0.8] 0.55 0.8 - ]0.8;1.35] 0.8 1.35 - ]1.35;1.75] 1.35 1.75 - ]1.75;+inf[ 1.75 2.1 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 0 20 0.148637 -]-inf;0.55] 49 0 0 0.364161 -]0.55;0.8] 1 0 0 0.00743185 -]0.8;1.35] 0 28 0 0.208092 -]1.35;1.75] 0 21 5 0.107124 -]1.75;+inf[ 0 1 25 0.164555 - -Rank R02 PW_MM40 Numerical - -Data grid Supervised -Dimensions -PW_MM40 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 39 1 0.267272 -]-inf;0.8] 50 0 0 0.373876 -]0.8;1.75] 0 10 4 0.047677 -]1.75;+inf[ 0 1 45 0.311175 - -Rank R03 PW_MM20 Numerical - -Data grid Supervised -Dimensions -PW_MM20 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 20 0 0.150725 -]-inf;0.8] 50 0 0 0.376814 -]0.8;1.75] 0 29 5 0.158841 -]1.75;+inf[ 0 1 45 0.31362 - -Rank R04 PW_UM10 Numerical - -Data grid Supervised -Dimensions -PW_UM10 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.25] 0.8 1.25 - ]1.25;1.75] 1.25 1.75 - ]1.75;+inf[ 1.75 2.3 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 0 10 0.0756168 -]-inf;0.8] 50 0 0 0.378084 -]0.8;1.25] 0 15 0 0.113425 -]1.25;1.75] 0 34 5 0.192106 -]1.75;+inf[ 0 1 35 0.240769 - -Rank R05 PW_LM40 Numerical - -Data grid Supervised -Dimensions -PW_LM40 Numerical Intervals - Missing - ]-inf;0.8] 0.3 0.8 - ]0.8;1.15] 0.8 1.15 - ]1.15;1.65] 1.15 1.65 - ]1.65;2.05] 1.65 2.05 - ]2.05;+inf[ 2.05 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 40 0 0 0.303875 -]-inf;0.8] 10 0 0 0.0759686 -]0.8;1.15] 0 10 0 0.0759686 -]1.15;1.65] 0 38 4 0.227731 -]1.65;2.05] 0 2 23 0.14173 -]2.05;+inf[ 0 0 23 0.174728 - -Rank R06 PW_MM10 Numerical - -Data grid Supervised -Dimensions -PW_MM10 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 10 0 0.0760833 -]-inf;0.8] 50 0 0 0.380417 -]0.8;1.75] 0 39 5 0.226881 -]1.75;+inf[ 0 1 45 0.316619 - -Rank R07 PW_MM5 Numerical - -Data grid Supervised -Dimensions -PW_MM5 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 5 0 0.0381923 -]-inf;0.8] 50 0 0 0.381923 -]0.8;1.75] 0 44 5 0.262013 -]1.75;+inf[ 0 1 45 0.317872 - -Rank R08 PW_LM10 Numerical - -Data grid Supervised -Dimensions -PW_LM10 Numerical Intervals - Missing - ]-inf;0.8] 0.2 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 10 0 0 0.076657 -]-inf;0.8] 40 0 0 0.306628 -]0.8;1.75] 0 49 5 0.297709 -]1.75;+inf[ 0 1 45 0.319006 - -Rank R09 PW_LM20 Numerical - -Data grid Supervised -Dimensions -PW_LM20 Numerical Intervals - Missing - ]-inf;0.8] 0.2 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 20 0 0 0.153314 -]-inf;0.8] 30 0 0 0.229971 -]0.8;1.75] 0 49 5 0.297709 -]1.75;+inf[ 0 1 45 0.319006 - -Rank R10 PW_LM5 Numerical - -Data grid Supervised -Dimensions -PW_LM5 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 5 0 0 0.0383285 -]-inf;0.8] 45 0 0 0.344956 -]0.8;1.75] 0 49 5 0.297709 -]1.75;+inf[ 0 1 45 0.319006 - -Rank R11 PetalWidth Numerical - -Data grid Supervised -Dimensions -PetalWidth Numerical Intervals - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;0.8] 50 0 0 0.383285 -]0.8;1.75] 0 49 5 0.297709 -]1.75;+inf[ 0 1 45 0.319006 - -Rank R12 PW_UM5 Numerical - -Data grid Supervised -Dimensions -PW_UM5 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.65] 0.8 1.65 - ]1.65;+inf[ 1.65 2.4 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 0 5 0.0385205 -]-inf;0.8] 50 0 0 0.385205 -]0.8;1.65] 0 48 4 0.301723 -]1.65;+inf[ 0 2 41 0.274552 - -Rank R13 PW_RM5 Numerical - -Data grid Supervised -Dimensions -PW_RM5 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 3 2 0 0.0151839 -]-inf;0.8] 47 0 0 0.368429 -]0.8;1.75] 0 47 5 0.290173 -]1.75;+inf[ 0 1 45 0.326214 - -Rank R14 PW_UM40 Numerical - -Data grid Supervised -Dimensions -PW_UM40 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;+inf[ 0.8 1.8 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 0 0 40 0.318997 -]-inf;0.8] 50 0 0 0.398747 -]0.8;+inf[ 0 50 10 0.282256 - -Rank R15 PetalLength Numerical - -Data grid Supervised -Dimensions -PetalLength Numerical Intervals - ]-inf;2.4] 1 2.4 - ]2.4;4.95] 2.4 4.95 - ]4.95;+inf[ 4.95 6.9 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.4] 50 0 0 0.398834 -]2.4;4.95] 0 48 6 0.293972 -]4.95;+inf[ 0 2 44 0.307195 - -Rank R16 PW_RM10 Numerical - -Data grid Supervised -Dimensions -PW_RM10 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 5 3 2 0.00517075 -]-inf;0.8] 45 0 0 0.370696 -]0.8;1.75] 0 46 5 0.297462 -]1.75;+inf[ 0 1 43 0.326671 - -Rank R17 PW_RM20 Numerical - -Data grid Supervised -Dimensions -PW_RM20 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 9 7 4 0.00796284 -]-inf;0.8] 41 0 0 0.358969 -]0.8;1.75] 0 42 4 0.294439 -]1.75;+inf[ 0 1 42 0.338629 - -Rank R18 PW_RM40 Numerical - -Data grid Supervised -Dimensions -PW_RM40 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.75] 0.8 1.75 - ]1.75;+inf[ 1.75 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 16 13 11 0.00454881 -]-inf;0.8] 34 0 0 0.360039 -]0.8;1.75] 0 36 4 0.298238 -]1.75;+inf[ 0 1 35 0.337173 - -Rank R19 PW_RM80 Numerical - -Data grid Supervised -Dimensions -PW_RM80 Numerical Intervals - Missing - ]-inf;0.8] 0.1 0.8 - ]0.8;1.7] 0.8 1.7 - ]1.7;+inf[ 1.7 2.5 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -Missing 30 24 26 0.00525062 -]-inf;0.8] 20 0 0 0.33288 -]0.8;1.7] 0 25 2 0.341377 -]1.7;+inf[ 0 1 22 0.320493 - -Rank R20 SepalLength Numerical - -Data grid Supervised -Dimensions -SepalLength Numerical Intervals - ]-inf;5.55] 4.3 5.55 - ]5.55;6.75] 5.55 6.75 - ]6.75;+inf[ 6.75 7.9 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;5.55] 47 11 1 0.496087 -]5.55;6.75] 3 36 32 0.29154 -]6.75;+inf[ 0 3 17 0.212373 - -Rank R21 SepalWidth Numerical - -Data grid Supervised -Dimensions -SepalWidth Numerical Intervals - ]-inf;2.45] 2 2.45 - ]2.45;2.95] 2.45 2.95 - ]2.95;3.45] 2.95 3.45 - ]3.45;3.95] 3.45 3.95 - ]3.95;+inf[ 3.95 4.4 -Class Categorical Values - Iris-setosa - Iris-versicolor - Iris-virginica -Cells -Interval Iris-setosa Iris-versicolor Iris-virginica Interest -]-inf;2.45] 1 9 1 0.137378 -]2.45;2.95] 1 25 20 0.370955 -]2.95;3.45] 27 16 26 0.0428559 -]3.45;3.95] 17 0 3 0.338705 -]3.95;+inf[ 4 0 0 0.110106 diff --git a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt b/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt deleted file mode 100644 index 70e52824..00000000 --- a/tests/resources/analysis_results/ref_reports/NoBivariateDetailedStats.txt +++ /dev/null @@ -1,69 +0,0 @@ -Tool Khiops -Version 10.0.6i -Short description - - -Report Preparation - -Dictionary BugNC -Variables - Categorical 1 - Numerical 1 - Total 2 -Database ./BugTiny.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value -Instances 2 -Learning task Unsupervised analysis -Evaluated variables 2 -Informative variables 0 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 1 -Discretization EqualWidth -Value grouping BasicGrouping - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Var1 Numerical 2 1 2 1.5 0.5 0 1.38629 -R2 Var2 Categorical 2 A 1 1.38629 - -Detailed variable statistics - -Rank R1 Var1 Numerical - -Data grid Unsupervised -Dimensions -Var1 Numerical Intervals - ]-inf;1.5] 1 1.5 - ]1.5;+inf[ 1.5 2 -Cells -Interval Frequency -]-inf;1.5] 1 -]1.5;+inf[ 1 - - -Report Bivariate preparation - -Dictionary BugNC -Variables - Categorical 1 - Numerical 1 - Total 2 -Database ./BugTiny.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value -Instances 2 -Learning task Unsupervised analysis -Evaluated variable pairs 1 -Informative variable pairs 0 - -Variable pair statistics -Rank Name 1 Name 2 Level Variables Parts 1 Parts 2 Cells Construction cost Preparation cost Data cost -R1 Var1 Var2 0 0 1 1 1 0.693147 1.09861 1.38629 - -Detailed variable pair statistics diff --git a/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt b/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt deleted file mode 100644 index b7244560..00000000 --- a/tests/resources/analysis_results/ref_reports/NoPredictorDetails.txt +++ /dev/null @@ -1,4126 +0,0 @@ -Tool Khiops -Version 10.0.3 -Short description -Logs -Modeling -warning : Classifier Selective Naive Bayes : No informative input variable available - - -Report Preparation - -Dictionary Adult -Variables - Categorical 1 - Total 1 -Database C:\Applications\khiops\samples\Adult\Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 34174 -Learning task Classification analysis -Target variable class -Target descriptive stats - Values 2 - Mode less - Mode frequency 26028 -Target variable stats - less 26028 - more 8146 -Evaluated variables 0 -Informative variables 0 -Max number of constructed variables 100 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 10.4392 - Data cost 18762.8 - - -Report Modeling - -Dictionary Adult -Database C:\Applications\khiops\samples\Adult\Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Classification analysis -Target variable class - -Trained predictors -Rank Type Family Name Variables -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0 - -Detailed trained predictors - - -Report Evaluation Train - -Dictionary Adult -Database C:\Applications\khiops\samples\Adult\Adult.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 34174 -Learning task Classification analysis -Target variable class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.761632 0 0.5 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - less more -$less 26028 8146 -$more 0 0 - -Lift curves less -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.131297 0.1 -0.2 0.2 0.262594 0.2 -0.3 0.3 0.393891 0.3 -0.4 0.4 0.525188 0.4 -0.5 0.5 0.656485 0.5 -0.6 0.6 0.787782 0.6 -0.7 0.7 0.919079 0.7 -0.8 0.8 1.05038 0.8 -0.9 0.9 1.18167 0.9 -1.0 1.0 1.31297 1 -1.1 1.1 1.44427 1.1 -1.2 1.2 1.57556 1.2 -1.3 1.3 1.70686 1.3 -1.4 1.4 1.83816 1.4 -1.5 1.5 1.96946 1.5 -1.6 1.6 2.10075 1.6 -1.7 1.7 2.23205 1.7 -1.8 1.8 2.36335 1.8 -1.9 1.9 2.49464 1.9 -2.0 2.0 2.62594 2 -2.1 2.1 2.75724 2.1 -2.2 2.2 2.88854 2.2 -2.3 2.3 3.01983 2.3 -2.4 2.4 3.15113 2.4 -2.5 2.5 3.28243 2.5 -2.6 2.6 3.41372 2.6 -2.7 2.7 3.54502 2.7 -2.8 2.8 3.67632 2.8 -2.9 2.9 3.80761 2.9 -3.0 3.0 3.93891 3 -3.1 3.1 4.07021 3.1 -3.2 3.2 4.20151 3.2 -3.3 3.3 4.3328 3.3 -3.4 3.4 4.4641 3.4 -3.5 3.5 4.5954 3.5 -3.6 3.6 4.72669 3.6 -3.7 3.7 4.85799 3.7 -3.8 3.8 4.98929 3.8 -3.9 3.9 5.12059 3.9 -4.0 4.0 5.25188 4 -4.1 4.1 5.38318 4.1 -4.2 4.2 5.51448 4.2 -4.3 4.3 5.64577 4.3 -4.4 4.4 5.77707 4.4 -4.5 4.5 5.90837 4.5 -4.6 4.6 6.03966 4.6 -4.7 4.7 6.17096 4.7 -4.8 4.8 6.30226 4.8 -4.9 4.9 6.43356 4.9 -5.0 5.0 6.56485 5 -5.1 5.1 6.69615 5.1 -5.2 5.2 6.82745 5.2 -5.3 5.3 6.95874 5.3 -5.4 5.4 7.09004 5.4 -5.5 5.5 7.22134 5.5 -5.6 5.6 7.35264 5.6 -5.7 5.7 7.48393 5.7 -5.8 5.8 7.61523 5.8 -5.9 5.9 7.74653 5.9 -6.0 6.0 7.87782 6 -6.1 6.1 8.00912 6.1 -6.2 6.2 8.14042 6.2 -6.3 6.3 8.27172 6.3 -6.4 6.4 8.40301 6.4 -6.5 6.5 8.53431 6.5 -6.6 6.6 8.66561 6.6 -6.7 6.7 8.7969 6.7 -6.8 6.8 8.9282 6.8 -6.9 6.9 9.0595 6.9 -7.0 7.0 9.19079 7 -7.1 7.1 9.32209 7.1 -7.2 7.2 9.45339 7.2 -7.3 7.3 9.58469 7.3 -7.4 7.4 9.71598 7.4 -7.5 7.5 9.84728 7.5 -7.6 7.6 9.97858 7.6 -7.7 7.7 10.1099 7.7 -7.8 7.8 10.2412 7.8 -7.9 7.9 10.3725 7.9 -8.0 8.0 10.5038 8 -8.1 8.1 10.6351 8.1 -8.2 8.2 10.7664 8.2 -8.3 8.3 10.8977 8.3 -8.4 8.4 11.029 8.4 -8.5 8.5 11.1603 8.5 -8.6 8.6 11.2915 8.6 -8.7 8.7 11.4228 8.7 -8.8 8.8 11.5541 8.8 -8.9 8.9 11.6854 8.9 -9.0 9.0 11.8167 9 -9.1 9.1 11.948 9.1 -9.2 9.2 12.0793 9.2 -9.3 9.3 12.2106 9.3 -9.4 9.4 12.3419 9.4 -9.5 9.5 12.4732 9.5 -9.6 9.6 12.6045 9.6 -9.7 9.7 12.7358 9.7 -9.8 9.8 12.8671 9.8 -9.9 9.9 12.9984 9.9 -10.0 10.0 13.1297 10 -10.1 10.1 13.261 10.1 -10.2 10.2 13.3923 10.2 -10.3 10.3 13.5236 10.3 -10.4 10.4 13.6549 10.4 -10.5 10.5 13.7862 10.5 -10.6 10.6 13.9175 10.6 -10.7 10.7 14.0488 10.7 -10.8 10.8 14.1801 10.8 -10.9 10.9 14.3114 10.9 -11.0 11.0 14.4427 11 -11.1 11.1 14.574 11.1 -11.2 11.2 14.7053 11.2 -11.3 11.3 14.8366 11.3 -11.4 11.4 14.9679 11.4 -11.5 11.5 15.0992 11.5 -11.6 11.6 15.2305 11.6 -11.7 11.7 15.3618 11.7 -11.8 11.8 15.4931 11.8 -11.9 11.9 15.6244 11.9 -12.0 12.0 15.7556 12 -12.1 12.1 15.8869 12.1 -12.2 12.2 16.0182 12.2 -12.3 12.3 16.1495 12.3 -12.4 12.4 16.2808 12.4 -12.5 12.5 16.4121 12.5 -12.6 12.6 16.5434 12.6 -12.7 12.7 16.6747 12.7 -12.8 12.8 16.806 12.8 -12.9 12.9 16.9373 12.9 -13.0 13.0 17.0686 13 -13.1 13.1 17.1999 13.1 -13.2 13.2 17.3312 13.2 -13.3 13.3 17.4625 13.3 -13.4 13.4 17.5938 13.4 -13.5 13.5 17.7251 13.5 -13.6 13.6 17.8564 13.6 -13.7 13.7 17.9877 13.7 -13.8 13.8 18.119 13.8 -13.9 13.9 18.2503 13.9 -14.0 14.0 18.3816 14 -14.1 14.1 18.5129 14.1 -14.2 14.2 18.6442 14.2 -14.3 14.3 18.7755 14.3 -14.4 14.4 18.9068 14.4 -14.5 14.5 19.0381 14.5 -14.6 14.6 19.1694 14.6 -14.7 14.7 19.3007 14.7 -14.8 14.8 19.432 14.8 -14.9 14.9 19.5633 14.9 -15.0 15.0 19.6946 15 -15.1 15.1 19.8259 15.1 -15.2 15.2 19.9572 15.2 -15.3 15.3 20.0885 15.3 -15.4 15.4 20.2197 15.4 -15.5 15.5 20.351 15.5 -15.6 15.6 20.4823 15.6 -15.7 15.7 20.6136 15.7 -15.8 15.8 20.7449 15.8 -15.9 15.9 20.8762 15.9 -16.0 16.0 21.0075 16 -16.1 16.1 21.1388 16.1 -16.2 16.2 21.2701 16.2 -16.3 16.3 21.4014 16.3 -16.4 16.4 21.5327 16.4 -16.5 16.5 21.664 16.5 -16.6 16.6 21.7953 16.6 -16.7 16.7 21.9266 16.7 -16.8 16.8 22.0579 16.8 -16.9 16.9 22.1892 16.9 -17.0 17.0 22.3205 17 -17.1 17.1 22.4518 17.1 -17.2 17.2 22.5831 17.2 -17.3 17.3 22.7144 17.3 -17.4 17.4 22.8457 17.4 -17.5 17.5 22.977 17.5 -17.6 17.6 23.1083 17.6 -17.7 17.7 23.2396 17.7 -17.8 17.8 23.3709 17.8 -17.9 17.9 23.5022 17.9 -18.0 18.0 23.6335 18 -18.1 18.1 23.7648 18.1 -18.2 18.2 23.8961 18.2 -18.3 18.3 24.0274 18.3 -18.4 18.4 24.1587 18.4 -18.5 18.5 24.29 18.5 -18.6 18.6 24.4213 18.6 -18.7 18.7 24.5526 18.7 -18.8 18.8 24.6838 18.8 -18.9 18.9 24.8151 18.9 -19.0 19.0 24.9464 19 -19.1 19.1 25.0777 19.1 -19.2 19.2 25.209 19.2 -19.3 19.3 25.3403 19.3 -19.4 19.4 25.4716 19.4 -19.5 19.5 25.6029 19.5 -19.6 19.6 25.7342 19.6 -19.7 19.7 25.8655 19.7 -19.8 19.8 25.9968 19.8 -19.9 19.9 26.1281 19.9 -20.0 20.0 26.2594 20 -20.1 20.1 26.3907 20.1 -20.2 20.2 26.522 20.2 -20.3 20.3 26.6533 20.3 -20.4 20.4 26.7846 20.4 -20.5 20.5 26.9159 20.5 -20.6 20.6 27.0472 20.6 -20.7 20.7 27.1785 20.7 -20.8 20.8 27.3098 20.8 -20.9 20.9 27.4411 20.9 -21.0 21.0 27.5724 21 -21.1 21.1 27.7037 21.1 -21.2 21.2 27.835 21.2 -21.3 21.3 27.9663 21.3 -21.4 21.4 28.0976 21.4 -21.5 21.5 28.2289 21.5 -21.6 21.6 28.3602 21.6 -21.7 21.7 28.4915 21.7 -21.8 21.8 28.6228 21.8 -21.9 21.9 28.7541 21.9 -22.0 22.0 28.8854 22 -22.1 22.1 29.0167 22.1 -22.2 22.2 29.1479 22.2 -22.3 22.3 29.2792 22.3 -22.4 22.4 29.4105 22.4 -22.5 22.5 29.5418 22.5 -22.6 22.6 29.6731 22.6 -22.7 22.7 29.8044 22.7 -22.8 22.8 29.9357 22.8 -22.9 22.9 30.067 22.9 -23.0 23.0 30.1983 23 -23.1 23.1 30.3296 23.1 -23.2 23.2 30.4609 23.2 -23.3 23.3 30.5922 23.3 -23.4 23.4 30.7235 23.4 -23.5 23.5 30.8548 23.5 -23.6 23.6 30.9861 23.6 -23.7 23.7 31.1174 23.7 -23.8 23.8 31.2487 23.8 -23.9 23.9 31.38 23.9 -24.0 24.0 31.5113 24 -24.1 24.1 31.6426 24.1 -24.2 24.2 31.7739 24.2 -24.3 24.3 31.9052 24.3 -24.4 24.4 32.0365 24.4 -24.5 24.5 32.1678 24.5 -24.6 24.6 32.2991 24.6 -24.7 24.7 32.4304 24.7 -24.8 24.8 32.5617 24.8 -24.9 24.9 32.693 24.9 -25.0 25.0 32.8243 25 -25.1 25.1 32.9556 25.1 -25.2 25.2 33.0869 25.2 -25.3 25.3 33.2182 25.3 -25.4 25.4 33.3495 25.4 -25.5 25.5 33.4808 25.5 -25.6 25.6 33.612 25.6 -25.7 25.7 33.7433 25.7 -25.8 25.8 33.8746 25.8 -25.9 25.9 34.0059 25.9 -26.0 26.0 34.1372 26 -26.1 26.1 34.2685 26.1 -26.2 26.2 34.3998 26.2 -26.3 26.3 34.5311 26.3 -26.4 26.4 34.6624 26.4 -26.5 26.5 34.7937 26.5 -26.6 26.6 34.925 26.6 -26.7 26.7 35.0563 26.7 -26.8 26.8 35.1876 26.8 -26.9 26.9 35.3189 26.9 -27.0 27.0 35.4502 27 -27.1 27.1 35.5815 27.1 -27.2 27.2 35.7128 27.2 -27.3 27.3 35.8441 27.3 -27.4 27.4 35.9754 27.4 -27.5 27.5 36.1067 27.5 -27.6 27.6 36.238 27.6 -27.7 27.7 36.3693 27.7 -27.8 27.8 36.5006 27.8 -27.9 27.9 36.6319 27.9 -28.0 28.0 36.7632 28 -28.1 28.1 36.8945 28.1 -28.2 28.2 37.0258 28.2 -28.3 28.3 37.1571 28.3 -28.4 28.4 37.2884 28.4 -28.5 28.5 37.4197 28.5 -28.6 28.6 37.551 28.6 -28.7 28.7 37.6823 28.7 -28.8 28.8 37.8136 28.8 -28.9 28.9 37.9449 28.9 -29.0 29.0 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97.7 -97.8 97.8 100 97.8 -97.9 97.9 100 97.9 -98.0 98.0 100 98 -98.1 98.1 100 98.1 -98.2 98.2 100 98.2 -98.3 98.3 100 98.3 -98.4 98.4 100 98.4 -98.5 98.5 100 98.5 -98.6 98.6 100 98.6 -98.7 98.7 100 98.7 -98.8 98.8 100 98.8 -98.9 98.9 100 98.9 -99.0 99.0 100 99 -99.1 99.1 100 99.1 -99.2 99.2 100 99.2 -99.3 99.3 100 99.3 -99.4 99.4 100 99.4 -99.5 99.5 100 99.5 -99.6 99.6 100 99.6 -99.7 99.7 100 99.7 -99.8 99.8 100 99.8 -99.9 99.9 100 99.9 -100.0 100.0 100 100 - - -Report Evaluation Test - -Dictionary Adult -Database C:\Applications\khiops\samples\Adult\Adult.txt -Sample percentage 70 -Sampling mode Exclude sample -Selection variable -Selection value -Instances 14668 -Learning task Classification analysis -Target variable class - -Predictors performance -Rank Type Family Name Accuracy Compression AUC -R1 Classifier Selective Naive Bayes Selective Naive Bayes 0.75859 -4.58469e-05 0.5 - -Predictors detailed performance - -Rank R1 - -Confusion matrix - less more -$less 11127 3541 -$more 0 0 - -Lift curves less -Size Random Optimal Selective Naive Bayes -0.0 0.0 0 0 -0.1 0.1 0.131823 0.1 -0.2 0.2 0.263647 0.2 -0.3 0.3 0.39547 0.3 -0.4 0.4 0.527294 0.4 -0.5 0.5 0.659117 0.5 -0.6 0.6 0.790941 0.6 -0.7 0.7 0.922764 0.7 -0.8 0.8 1.05459 0.8 -0.9 0.9 1.18641 0.9 -1.0 1.0 1.31823 1 -1.1 1.1 1.45006 1.1 -1.2 1.2 1.58188 1.2 -1.3 1.3 1.71371 1.3 -1.4 1.4 1.84553 1.4 -1.5 1.5 1.97735 1.5 -1.6 1.6 2.10918 1.6 -1.7 1.7 2.241 1.7 -1.8 1.8 2.37282 1.8 -1.9 1.9 2.50465 1.9 -2.0 2.0 2.63647 2 -2.1 2.1 2.76829 2.1 -2.2 2.2 2.90012 2.2 -2.3 2.3 3.03194 2.3 -2.4 2.4 3.16376 2.4 -2.5 2.5 3.29559 2.5 -2.6 2.6 3.42741 2.6 -2.7 2.7 3.55923 2.7 -2.8 2.8 3.69106 2.8 -2.9 2.9 3.82288 2.9 -3.0 3.0 3.9547 3 -3.1 3.1 4.08653 3.1 -3.2 3.2 4.21835 3.2 -3.3 3.3 4.35018 3.3 -3.4 3.4 4.482 3.4 -3.5 3.5 4.61382 3.5 -3.6 3.6 4.74565 3.6 -3.7 3.7 4.87747 3.7 -3.8 3.8 5.00929 3.8 -3.9 3.9 5.14112 3.9 -4.0 4.0 5.27294 4 -4.1 4.1 5.40476 4.1 -4.2 4.2 5.53659 4.2 -4.3 4.3 5.66841 4.3 -4.4 4.4 5.80023 4.4 -4.5 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100 99.6 -99.7 99.7 100 99.7 -99.8 99.8 100 99.8 -99.9 99.9 100 99.9 -100.0 100.0 100 100 diff --git a/tests/resources/analysis_results/ref_reports/XORRegression.txt b/tests/resources/analysis_results/ref_reports/XORRegression.txt deleted file mode 100644 index 3ada5c42..00000000 --- a/tests/resources/analysis_results/ref_reports/XORRegression.txt +++ /dev/null @@ -1,2128 +0,0 @@ -Tool Khiops -Version 10.0.6i -Short description - - -Report Preparation - -Dictionary XOR -Variables - Numerical 2 - Total 2 -Database ./XOR.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 68 -Learning task Regression analysis -Target variable Target -Target descriptive stats - Values 4 - Min 0 - Max 3 - Mean 1.279411765 - Std dev 1.198597075 - Missing number 0 -Evaluated variables 1 -Informative variables 1 -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 0 -Discretization MODL -Value grouping MODL -Null model - Construction cost 0.693147 - Preparation cost 0 - Data cost 221.956 - -Variable statistics -Rank Name Type Level Target parts Parts Values Min Max Mean StdDev Missing number Mode Mode frequency Construction cost Preparation cost Data cost Derivation rule -R1 Source Numerical 0.159413 2 2 4 0 3 1.308823529 1.127951722 0 0.693147 8.5745 177.889 - -Detailed variable statistics - -Rank R1 Source Numerical - -Data grid Supervised -Dimensions -Source Numerical Intervals - ]-inf;1.5] 0 1.5 - ]1.5;+inf[ 1.5 3 -Target Numerical Intervals - ]-inf;1.5] 0 1.5 - ]1.5;+inf[ 1.5 3 -Cells -Interval ]-inf;1.5] ]1.5;+inf[ Interest -]-inf;1.5] 39 0 0.467322 -]1.5;+inf[ 0 29 0.532678 - - -Report Modeling - -Dictionary XOR -Database ./XOR.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Learning task Regression analysis -Target variable Target - -Trained predictors -Rank Type Family Name Variables -R1 Regressor Selective Naive Bayes Selective Naive Bayes 1 - -Detailed trained predictors - -Rank R1 - -Selected variables -Prepared name Name Level Weight Importance -PSource Source 0.159413 1 0.399265 - - -Report Evaluation Train - -Dictionary XOR -Database ./XOR.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 68 -Learning task Regression analysis -Target variable Target - -Predictors performance -Rank Type Family Name RMSE MAE NLPD RankRMSE RankMAE RankNLPD -R1 Regressor Selective Naive Bayes Selective Naive Bayes 0.482752 0.467373 -0.265926 0.123615 0.11851 -0.678345 - -Predictors detailed performance - -REC curves -Size Selective Naive Bayes -0.0 0 -0.1 0 -0.2 0 -0.3 0 -0.4 0 -0.5 0 -0.6 0 -0.7 0 -0.8 0 -0.9 0 -1.0 0 -1.1 0 -1.2 0 -1.3 0 -1.4 0 -1.5 0 -1.6 0 -1.7 0 -1.8 0 -1.9 0 -2.0 0 -2.1 0 -2.2 0 -2.3 0 -2.4 0 -2.5 0 -2.6 0 -2.7 0 -2.8 0 -2.9 0 -3.0 0 -3.1 0 -3.2 0 -3.3 0 -3.4 0 -3.5 0 -3.6 0 -3.7 0 -3.8 0 -3.9 0 -4.0 0 -4.1 0 -4.2 0 -4.3 0 -4.4 0 -4.5 0 -4.6 0 -4.7 0 -4.8 0 -4.9 0 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+ }, + "khiops_encoding": "ascii" +} diff --git a/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj b/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj deleted file mode 100644 index f26ebe6c..00000000 --- a/tests/resources/coclustering_results/ref_json_reports/AdultLegacy.khcj +++ /dev/null @@ -1,2592 +0,0 @@ -{ - "tool": "Khiops Coclustering", - "version": "9.0.1", - "coclusteringReport": { - "summary": { - "instances": 48842, - "cells": 1893, - "nullCost": 1642380.057, - "cost": 1607892.406, - "level": 0.02099858106, - "initialDimensions": 6, - "frequencyVariable": "", - "dictionary": "Adult", - "database": "C:\\Applications\\khiops9\\samples\\Adult\\Adult.txt" - }, - "dimensionSummaries": [ - { - "name": "age", - "type": "Numerical", - "parts": 6, - "initialParts": 6, - "values": 48842, - "interest": 1, - "description": "", - "min": 17, - "max": 90 - }, - { - "name": "occupation", - "type": "Categorical", - "parts": 6, - "initialParts": 6, 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- } -} diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj index fbf23b77..8493ef65 100644 --- a/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/AnsiGreek_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj index f4a4eaba..98338e40 100644 --- a/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/AnsiLatinGreek_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj index 9ac288f4..76065747 100644 --- a/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/AnsiLatin_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj index 91aa08b6..d9bd98c8 100644 --- a/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/Ansi_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj b/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj index a9dca193..97673183 100644 --- a/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/Greek_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/Iris.khcj b/tests/resources/coclustering_results/ref_json_reports/Iris.khcj index 8c9ddac8..7f8b99ad 100644 --- a/tests/resources/coclustering_results/ref_json_reports/Iris.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/Iris.khcj @@ -1,299 +1,299 @@ -{ - "tool": "Khiops Coclustering", - "version": "10.0.0.3i", - "shortDescription": "", - "coclusteringReport": { - "summary": { - "instances": 150, - "cells": 7, - "nullCost": 1379.668177, - "cost": 1164.273132, - "level": 0.1561209056, - "initialDimensions": 3, - "frequencyVariable": "", - "dictionary": "Iris", - "database": "..\/..\/..\/datasets\/Iris\/Iris.txt", - "samplePercentage": 100, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "" - }, - "dimensionSummaries": [ - { - "name": "PetalLength", - "type": "Numerical", - "parts": 3, - "initialParts": 3, - "values": 150, - "interest": 1, - "description": "", - "min": 1, - "max": 6.9 - }, - { - "name": "PetalWidth", - "type": "Numerical", - "parts": 3, - "initialParts": 3, - "values": 150, - "interest": 1, - "description": "", - "min": 0.1, - "max": 2.5 - }, - { - "name": "Class", - "type": "Categorical", - "parts": 3, - "initialParts": 3, - "values": 3, - "interest": 1, - "description": "" - } - ], - "dimensionPartitions": [ - { - "name": "PetalLength", - "type": "Numerical", - "intervals": [ - { - "cluster": "]-inf;2.4]", - "bounds": [1,2.4] - }, - { - "cluster": "]2.4;4.75]", - "bounds": [2.4,4.75] - }, - { - "cluster": "]4.75;+inf[", - "bounds": [4.75,6.9] - } - ] - }, - { - "name": "PetalWidth", - "type": "Numerical", - "intervals": [ - { - "cluster": "]-inf;0.8]", - "bounds": [0.1,0.8] - }, - { - "cluster": "]0.8;1.75]", - "bounds": [0.8,1.75] - }, - { - "cluster": "]1.75;+inf[", - "bounds": [1.75,2.5] - } - ] - }, - { - "name": "Class", - "type": "Categorical", - "valueGroups": [ - { - "cluster": "{Iris-setosa}", - "values": ["Iris-setosa"], - "valueFrequencies": [50], - "valueTypicalities": [1] - }, - { - "cluster": "{Iris-versicolor}", - "values": ["Iris-versicolor"], - "valueFrequencies": [50], - "valueTypicalities": [1] - }, - { - "cluster": "{Iris-virginica}", - "values": ["Iris-virginica"], - "valueFrequencies": [50], - "valueTypicalities": [1] - } - ], - "defaultGroupIndex": 2 - } - ], - "dimensionHierarchies": [ - { - "name": "PetalLength", - "type": "Numerical", - "clusters": [ - { - "cluster": "]-inf;2.4]", - "parentCluster": "]-inf;+inf[", - "frequency": 50, - "interest": 0.557285, - "hierarchicalLevel": 1, - "rank": 1, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]2.4;4.75]", - "parentCluster": "]2.4;+inf[", - "frequency": 45, - "interest": 1, - "hierarchicalLevel": 1, - "rank": 3, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]4.75;+inf[", - "parentCluster": "]2.4;+inf[", - "frequency": 55, - "interest": 0.442715, - "hierarchicalLevel": 1, - "rank": 5, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]-inf;+inf[", - "parentCluster": "", - "frequency": 150, - "interest": 0.648091, - "hierarchicalLevel": -0.0145257, - "rank": 2, - "hierarchicalRank": 4, - "isLeaf": false - }, - { - "cluster": "]2.4;+inf[", - "parentCluster": "]-inf;+inf[", - "frequency": 100, - "interest": 0.693493, - "hierarchicalLevel": 0.856289, - "rank": 4, - "hierarchicalRank": 8, - "isLeaf": false - } - ] - }, - { - "name": "PetalWidth", - "type": "Numerical", - "clusters": [ - { - "cluster": "]-inf;0.8]", - "parentCluster": "]-inf;+inf[", - "frequency": 50, - "interest": 0.569949, - "hierarchicalLevel": 1, - "rank": 1, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]0.8;1.75]", - "parentCluster": "]0.8;+inf[", - "frequency": 54, - "interest": 1, - "hierarchicalLevel": 1, - "rank": 3, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]1.75;+inf[", - "parentCluster": "]0.8;+inf[", - "frequency": 46, - "interest": 0.430051, - "hierarchicalLevel": 1, - "rank": 5, - "hierarchicalRank": 9, - "isLeaf": true - }, - { - "cluster": "]-inf;+inf[", - "parentCluster": "", - "frequency": 150, - 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b/tests/resources/coclustering_results/ref_json_reports/Latin_Coclustering.khcj @@ -1,6 +1,6 @@ { "tool": "Khiops Coclustering", - "version": "10.0.0.3i", + "version": "VERSION", "shortDescription": "", "coclusteringReport": { "summary": { diff --git a/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj b/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj index e5ff62a6..0ace12c5 100644 --- a/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj +++ b/tests/resources/coclustering_results/ref_json_reports/MushroomAnnotated.khcj @@ -1,455 +1,455 @@ -{ - "tool": "Khiops Coclustering", - "version": "10.0.0.3i", - "shortDescription": "", - "coclusteringReport": { - "summary": { - "instances": 8416, - "cells": 25, - "nullCost": 27983.3, - "cost": 24901.7, - "level": 0.1101228233, - "initialDimensions": 2, - "frequencyVariable": "", - "dictionary": "Mushroom", - "database": "C:\\Temp\\Mushroom\\Mushroom.txt", - 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"interest": 0.817766, + "hierarchicalLevel": 0.80499, + "rank": 10, + "hierarchicalRank": 8, + "isLeaf": false + }, + { + "cluster": "B8", + "parentCluster": "B7", + "frequency": 448, + "interest": 0.414618, + "hierarchicalLevel": 0.859857, + "rank": 12, + "hierarchicalRank": 9, + "isLeaf": false + } + ] + } + ], + "cellPartIndexes": [ + [1,4], + [6,4], + [1,1], + [0,1], + [5,4], + [6,2], + [5,2], + [2,4], + [0,0], + [2,0], + [6,1], + [5,1], + [6,6], + [2,6], + [6,0], + [2,1], + [3,4], + [4,4], + [1,5], + [3,5], + [2,5], + [6,3], + [0,4], + [4,3], + [5,3] + ], + "cellFrequencies": [1360,1208,840,648,624,576,576,448,400,304,288,288,128,128,96,96,80,64,64,64,64,24,24,12,12] + }, + "khiops_encoding": "utf8" +} diff --git a/tests/resources/coclustering_results/ref_reports/Adult.khc b/tests/resources/coclustering_results/ref_reports/Adult.khc deleted file mode 100644 index 8c4726bb..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult.khc +++ /dev/null @@ -1,2350 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 6 -Name Is variable part Type Parts Initial parts Values Interest Description -age False Numerical 6 6 48842 1 -occupation False Categorical 7 7 14 1 -education_num False Numerical 4 4 48842 1 -hours_per_week False Numerical 3 3 48842 1 -marital_status False Categorical 3 3 7 1 -sex False Categorical 2 2 2 1 - -Coclustering stats -Instances 48842 -Cells 2218 -Null cost 1723780 -Cost 1689150 -Level 0.02008957059 -Initial dimensions 9 -Frequency variable -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value - -Bounds -Name Min Max -age 17 90 -education_num 1 16 -hours_per_week 1 99 - -Hierarchy age -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;18.5] ]-inf;23.5] 1457 0.347768 1 1 25 -]18.5;23.5] ]-inf;23.5] 5769 0.883906 1 3 25 -]23.5;29.5] ]-inf;29.5] 7289 1 1 5 25 -]29.5;40.5] ]29.5;59.5] 14116 0.871164 1 7 25 -]40.5;59.5] ]29.5;59.5] 16156 0.848966 1 9 25 -]59.5;+inf[ ]29.5;+inf[ 4055 0.441664 1 11 25 -]-inf;23.5] ]-inf;29.5] 7226 0.775803 0.974251 2 22 -]-inf;29.5] ]-inf;+inf[ 14515 0.888388 0.745479 4 14 -]-inf;+inf[ 48842 0.833282 -0.000287731 6 7 -]29.5;59.5] ]29.5;+inf[ 30272 0.859317 0.948553 8 20 -]29.5;+inf[ ]-inf;+inf[ 34327 0.80998 0.850791 10 16 - -Hierarchy occupation -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Craft-repair, Transport-moving, Farming-fishing, ...} B18 10955 1 1 1 25 -{Machine-op-inspct, Handlers-cleaners} B18 5094 0.695825 1 3 25 -{Prof-specialty} B12 8981 0.864201 1 5 25 -{Exec-managerial} B19 6086 0.705213 1 7 25 -{Sales} B19 5504 0.534419 1 9 25 -{Other-service, Priv-house-serv} B14 5165 0.723836 1 11 25 -{Adm-clerical, Tech-support} B14 7057 0.715347 1 13 25 -B18 B5 16049 0.903454 0.988438 2 23 -B5 48842 0.783774 0.383406 4 10 -B12 B7 20571 0.728927 0.889146 6 17 -B19 B12 11590 0.624104 0.994704 8 24 -B7 B5 32793 0.725202 0.583172 10 12 -B14 B7 12222 0.718934 0.93014 12 19 - -Hierarchy education_num -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;8.5] ]-inf;9.5] 6408 0.330495 1 1 25 -]8.5;9.5] ]-inf;9.5] 15784 0.671555 1 3 25 -]9.5;12.5] ]-inf;12.5] 14540 1 1 5 25 -]12.5;+inf[ ]-inf;+inf[ 12110 0.65894 1 7 25 -]-inf;9.5] ]-inf;12.5] 22192 0.573073 0.964171 2 21 -]-inf;12.5] ]-inf;+inf[ 36732 0.742068 0.911382 4 18 -]-inf;+inf[ 48842 0.721457 0.474326 6 11 - -Hierarchy hours_per_week -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;36.5] ]-inf;+inf[ 10668 0.604579 1 1 25 -]36.5;43.5] ]36.5;+inf[ 24446 1 1 3 25 -]43.5;+inf[ ]36.5;+inf[ 13728 0.395421 1 5 25 -]-inf;+inf[ 48842 0.743704 0.664957 2 13 -]36.5;+inf[ ]-inf;+inf[ 38174 0.782583 0.808675 4 15 - -Hierarchy marital_status -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Never-married, Married-AF-spouse} E1 16154 1 1 1 25 -{Married-civ-spouse} E4 22379 0.936208 1 3 25 -{Divorced, Widowed, Separated, ...} E4 10309 0.730455 1 5 25 -E1 48842 0.913879 0 2 6 -E4 E1 32688 0.871319 0.248722 4 9 - -Hierarchy sex -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Female} F3 16192 1 1 1 25 -{Male} F3 32650 1 1 3 25 -F3 48842 1 0.227766 2 8 - -Composition occupation -Cluster Value Frequency Typicality -{Craft-repair, Transport-moving, Farming-fishing, ...} Craft-repair 6112 1 -{Craft-repair, Transport-moving, Farming-fishing, ...} Transport-moving 2355 0.573309 -{Craft-repair, Transport-moving, Farming-fishing, ...} Farming-fishing 1490 0.29446 -{Craft-repair, Transport-moving, Farming-fishing, ...} Protective-serv 983 0.106369 -{Craft-repair, Transport-moving, Farming-fishing, ...} Armed-Forces 15 0.0033027 -{Machine-op-inspct, Handlers-cleaners} Machine-op-inspct 3022 1 -{Machine-op-inspct, Handlers-cleaners} Handlers-cleaners 2072 0.798568 -{Prof-specialty} Prof-specialty 8981 1 -{Exec-managerial} Exec-managerial 6086 1 -{Sales} Sales 5504 1 -{Other-service, Priv-house-serv} Other-service 4923 1 -{Other-service, Priv-house-serv} Priv-house-serv 242 0.111602 -{Adm-clerical, Tech-support} Adm-clerical 5611 1 -{Adm-clerical, Tech-support} Tech-support 1446 0.187174 -{Adm-clerical, Tech-support} * 0 0 - -Composition marital_status -Cluster Value Frequency Typicality -{Never-married, Married-AF-spouse} Never-married 16117 1 -{Never-married, Married-AF-spouse} Married-AF-spouse 37 0.00173382 -{Married-civ-spouse} Married-civ-spouse 22379 1 -{Divorced, Widowed, Separated, ...} Divorced 6633 1 -{Divorced, Widowed, Separated, ...} Widowed 1518 0.443082 -{Divorced, Widowed, Separated, ...} Separated 1530 0.265394 -{Divorced, Widowed, Separated, ...} Married-spouse-absent 628 0.0718638 -{Divorced, Widowed, Separated, ...} * 0 0 - -Composition sex -Cluster Value Frequency Typicality -{Female} Female 16192 1 -{Male} Male 32650 1 -{Male} * 0 0 - -Cells -age occupation education_num hours_per_week marital_status sex Frequency -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 741 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 592 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 569 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 557 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 480 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 457 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 447 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 437 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 408 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 360 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 359 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 358 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 353 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 298 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 295 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 294 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 280 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 275 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 273 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 260 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 239 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 233 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 232 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 225 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 216 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 207 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 204 -]18.5;23.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 197 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 196 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 189 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 184 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 184 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 181 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 179 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 179 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 176 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 174 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 174 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 165 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 164 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 164 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 162 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 160 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 158 -]-inf;18.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 151 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 150 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 150 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 150 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 146 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 145 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 144 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 143 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 142 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 141 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 141 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 140 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 138 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 137 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 136 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 136 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 135 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 128 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 128 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 127 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 126 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 125 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 125 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 123 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 121 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 119 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 118 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 118 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 117 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 116 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 115 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 114 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 111 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 111 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 110 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 110 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 110 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 109 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 109 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 109 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 107 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 106 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 106 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 106 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 106 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 105 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 104 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 104 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 103 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 102 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 102 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 102 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 101 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 101 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 100 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 98 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 98 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 98 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 97 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 97 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 94 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 94 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 93 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 92 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 92 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 92 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 90 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 90 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 89 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 88 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 87 -]18.5;23.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 87 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 87 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 87 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 86 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 86 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 83 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 82 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 80 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 80 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 79 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 79 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 78 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 78 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 77 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 77 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 77 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 76 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 75 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 74 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 74 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 74 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 73 -]18.5;23.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 73 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 73 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 73 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 72 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 72 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 72 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 71 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 71 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 70 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 70 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 69 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 69 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 69 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 69 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 68 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 68 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 68 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 68 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 68 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 67 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 67 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 67 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 66 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 66 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 65 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 65 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 64 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 64 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 64 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 64 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 63 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 63 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 63 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 62 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 62 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 62 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 61 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 61 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 61 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 61 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 61 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 61 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 61 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 61 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 61 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 60 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 60 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 60 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 60 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 60 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 60 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 60 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 59 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 59 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 59 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 59 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 59 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 59 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 59 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 58 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 58 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 58 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 58 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 58 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 58 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 57 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 57 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 57 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 57 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 56 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 56 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 56 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 56 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 56 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 56 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 56 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 55 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 55 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 55 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 55 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 55 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 54 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 54 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 54 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 54 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 54 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 54 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 53 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 53 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 53 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 53 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 53 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 53 -]-inf;18.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 52 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 52 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 52 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 51 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 51 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 51 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 51 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 51 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 50 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 50 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 50 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 50 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 50 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 50 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 49 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 49 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 49 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 49 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 49 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 48 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 48 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 48 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 48 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 48 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 48 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 48 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 47 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 47 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 47 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 46 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 46 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 46 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 46 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 46 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 45 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 45 -]18.5;23.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 44 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 44 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 44 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 44 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 43 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 43 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 43 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 43 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 43 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 43 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 43 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 43 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 43 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 43 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 42 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 42 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 42 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 42 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 41 -]18.5;23.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 41 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 41 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 41 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 41 -]40.5;59.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 41 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 41 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 40 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 40 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 40 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 40 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 40 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 40 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 40 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 40 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 39 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 39 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 39 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 39 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 39 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 39 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 38 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 38 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 38 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 38 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 38 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 38 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 38 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 37 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 37 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 37 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 37 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 37 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 37 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 37 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 37 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 37 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 36 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 36 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 36 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 36 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 36 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 36 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 36 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 36 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 36 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 36 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 35 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 35 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 35 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 35 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 35 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 35 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 34 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 34 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 34 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 34 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 34 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 34 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 34 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 34 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 34 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 33 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 33 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 33 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 33 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 33 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 33 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 33 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 33 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 33 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 33 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 32 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 32 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 32 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 32 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 32 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 32 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 32 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 32 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 32 -]-inf;18.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 31 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 31 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 31 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 31 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 31 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 31 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 31 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 31 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 31 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 31 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 30 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 30 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 30 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 30 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 30 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 30 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 30 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 30 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 30 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 30 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 30 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 30 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 30 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 30 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 30 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 30 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 30 -]59.5;+inf[ {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 30 -]59.5;+inf[ {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 30 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 29 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 29 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 29 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 29 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 29 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 29 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 29 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 29 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 29 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 29 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 29 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 29 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 29 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]59.5;+inf[ {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]-inf;18.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 28 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 28 -]18.5;23.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 28 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 28 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 28 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 28 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 28 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 28 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 27 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 27 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 27 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 27 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 27 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 27 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 27 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 27 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 26 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 26 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 26 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 26 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 26 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 26 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 26 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 26 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 26 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 26 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 26 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 26 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 26 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 26 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 26 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 26 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 26 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 25 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 25 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 25 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 25 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 25 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 25 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 25 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 25 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 25 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 25 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 25 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 25 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 25 -]40.5;59.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 25 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 25 -]59.5;+inf[ {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 25 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 25 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 24 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 24 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 24 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 24 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 24 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 24 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 24 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 24 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 24 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 24 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 24 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 24 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 24 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 24 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 24 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 24 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 24 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 24 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 24 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 24 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 24 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 23 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 23 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 23 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 23 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 23 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 23 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 23 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 23 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 23 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 23 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 23 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 23 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 23 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 23 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 23 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 22 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 22 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 22 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 22 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 22 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 22 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 22 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 22 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 22 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 22 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 22 -]40.5;59.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 22 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 22 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 22 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 22 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 21 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 21 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 21 -]18.5;23.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 21 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 21 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 21 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 21 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 21 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 21 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 21 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 21 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 21 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 21 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 21 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 21 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 21 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 21 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 21 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 21 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 20 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 20 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 20 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 20 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 20 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 20 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 20 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 20 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 20 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 20 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 20 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 20 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 19 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 19 -]18.5;23.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 19 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 19 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 19 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 19 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 19 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 19 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 19 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 19 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 19 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 19 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 19 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 19 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 19 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 18 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 18 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 18 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 18 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 18 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 18 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 18 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 18 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 18 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 18 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 18 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 18 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 18 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 18 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 18 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 18 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 18 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 18 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 18 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 18 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 18 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 18 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 18 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]59.5;+inf[ {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 18 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 17 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;23.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 17 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 17 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 17 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 17 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 17 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 17 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 17 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 17 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 17 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;59.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 16 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 16 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 16 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 16 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 16 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 16 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 16 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 16 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 16 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 16 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 16 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 16 -]29.5;40.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 16 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 16 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 16 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 16 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 16 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 16 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 16 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 16 -]59.5;+inf[ {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 15 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 15 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 15 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 15 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 15 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 15 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 15 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 15 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 15 -]23.5;29.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 15 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 15 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 15 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 15 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 15 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 15 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 15 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 15 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 15 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 15 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]59.5;+inf[ {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 14 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 14 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 14 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 14 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 14 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 14 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 14 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 14 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 14 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 14 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 14 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 13 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]18.5;23.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]18.5;23.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 13 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 13 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 13 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 13 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 13 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 13 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 13 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 13 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 13 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 13 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 13 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]40.5;59.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 13 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 13 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 12 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]18.5;23.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]18.5;23.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 12 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 12 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 12 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 12 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 12 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 12 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 12 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 12 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 12 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 12 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 12 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 12 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 12 -]40.5;59.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 12 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 12 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 12 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 12 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 12 -]59.5;+inf[ {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 11 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 11 -]18.5;23.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 11 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 11 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 11 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 11 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 11 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 11 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 11 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 11 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 11 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 11 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 11 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 10 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 10 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 10 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 10 -]18.5;23.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]23.5;29.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 10 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 10 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 10 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]29.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]29.5;40.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 10 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 10 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 10 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]59.5;+inf[ {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]59.5;+inf[ {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 10 -]-inf;18.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]-inf;18.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]-inf;18.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 9 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 9 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 9 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 9 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 9 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 9 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 9 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 9 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 9 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 9 -]29.5;40.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 9 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 9 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 9 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;59.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 9 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 9 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 9 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 9 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 8 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 8 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 8 -]18.5;23.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 8 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 8 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]23.5;29.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 8 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 8 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 8 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 8 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 8 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 8 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]59.5;+inf[ {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]59.5;+inf[ {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]-inf;18.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 7 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 7 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]18.5;23.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]18.5;23.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]18.5;23.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 7 -]18.5;23.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 7 -]18.5;23.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 7 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 7 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]23.5;29.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 7 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 7 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]29.5;40.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;59.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]59.5;+inf[ {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]59.5;+inf[ {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]18.5;23.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;23.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]23.5;29.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 6 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]29.5;40.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]29.5;40.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]29.5;40.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]40.5;59.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]59.5;+inf[ {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]18.5;23.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;23.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]23.5;29.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]23.5;29.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]29.5;40.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]40.5;59.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]40.5;59.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;59.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]59.5;+inf[ {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]-inf;18.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]18.5;23.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]18.5;23.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;23.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]18.5;23.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]18.5;23.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]23.5;29.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]23.5;29.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]23.5;29.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]29.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]29.5;40.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]29.5;40.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]29.5;40.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;59.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]59.5;+inf[ {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]18.5;23.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]18.5;23.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]23.5;29.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]29.5;40.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]40.5;59.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]40.5;59.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;59.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;59.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]59.5;+inf[ {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]59.5;+inf[ {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]-inf;18.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]-inf;18.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]18.5;23.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]18.5;23.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;23.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]23.5;29.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]23.5;29.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]23.5;29.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]29.5;40.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]29.5;40.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]29.5;40.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]29.5;40.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;59.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]40.5;59.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;59.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;59.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]59.5;+inf[ {Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]59.5;+inf[ {Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;23.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;23.5] {Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;23.5] {Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;23.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Exec-managerial} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]23.5;29.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]23.5;29.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]23.5;29.5] {Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]29.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]29.5;40.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]29.5;40.5] {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]29.5;40.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;59.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;59.5] {Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;59.5] {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;59.5] {Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Exec-managerial} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Exec-managerial} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]59.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]59.5;+inf[ {Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]59.5;+inf[ {Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 - diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc b/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc deleted file mode 100644 index 603dd108..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy.khc +++ /dev/null @@ -1,2023 +0,0 @@ -#Khiops 9.0.1 -Short description -Dimensions 6 -Name Is variable part Type Parts Initial parts Values Interest Description -age False Numerical 6 6 48842 1 -occupation False Categorical 6 6 14 1 -education_num False Numerical 4 4 48842 1 -hours_per_week False Numerical 3 3 48842 1 -marital_status False Categorical 3 3 7 1 -sex False Categorical 2 2 2 1 - -Coclustering stats -Instances 48842 -Cells 1893 -Null cost 1642380.057 -Cost 1607892.406 -Level 0.02099858106 -Initial dimensions 6 -Frequency variable -Dictionary Adult -Database C:\Applications\khiops9\samples\Adult\Adult.txt -Sample percentage 0.0 -Sampling mode -Selection variable None -Selection value None - -Bounds -Name Min Max -age 17 90 -education_num 1 16 -hours_per_week 1 99 - -Hierarchy age -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;18.5] ]-inf;22.5] 1457 0.300009 1 1 24 -]18.5;22.5] ]-inf;22.5] 4440 0.766626 1 3 24 -]22.5;28.5] ]-inf;28.5] 7395 1 1 5 24 -]28.5;40.5] ]28.5;60.5] 15339 0.952887 1 7 24 -]40.5;60.5] ]28.5;60.5] 16605 0.839256 1 9 24 -]60.5;+inf[ ]28.5;+inf[ 3606 0.419753 1 11 24 -]-inf;22.5] ]-inf;28.5] 5897 0.651336 0.995206 2 23 -]-inf;28.5] ]-inf;+inf[ 13292 0.845315 0.753224 4 14 -]-inf;+inf[ 48842 0.845619 -0.000190485 6 7 -]28.5;60.5] ]28.5;+inf[ 31944 0.89382 0.894794 8 17 -]28.5;+inf[ ]-inf;+inf[ 35550 0.845733 0.855616 10 16 - -Hierarchy occupation -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Craft-repair, Transport-moving, Farming-fishing, ...} B16 10955 1 1 1 24 -{Machine-op-inspct, Handlers-cleaners} B16 5094 0.659953 1 3 24 -{Prof-specialty} B13 8981 0.88263 1 5 24 -{Exec-managerial, Sales} B13 11590 0.748618 1 7 24 -{Adm-clerical, Tech-support} B15 7057 0.705283 1 9 24 -{Other-service, Priv-house-serv} B15 5165 0.687133 1 11 24 -B16 B5 16049 0.892068 0.975793 2 21 -B5 48842 0.807633 0.38571 4 10 -B13 B8 20571 0.807126 0.919343 6 18 -B8 B5 32793 0.76631 0.671299 8 13 -B15 B8 12222 0.697613 0.958862 10 20 - -Hierarchy education_num -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;8.5] ]-inf;9.5] 6408 0.328368 1 1 24 -]8.5;9.5] ]-inf;9.5] 15784 0.654457 1 3 24 -]9.5;12.5] ]-inf;12.5] 14540 1 1 5 24 -]12.5;+inf[ ]-inf;+inf[ 12110 0.673911 1 7 24 -]-inf;9.5] ]-inf;12.5] 22192 0.560298 0.987133 2 22 -]-inf;12.5] ]-inf;+inf[ 36732 0.73435 0.940864 4 19 -]-inf;+inf[ 48842 0.719364 0.47669 6 11 - -Hierarchy hours_per_week -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;36.5] ]-inf;+inf[ 10668 0.610712 1 1 24 -]36.5;43.5] ]36.5;+inf[ 24446 1 1 3 24 -]43.5;+inf[ ]36.5;+inf[ 13728 0.389288 1 5 24 -]-inf;+inf[ 48842 0.74332 0.587502 2 12 -]36.5;+inf[ ]-inf;+inf[ 38174 0.780378 0.813628 4 15 - -Hierarchy marital_status -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Never-married, Married-AF-spouse} E1 16154 1 1 1 24 -{Married-civ-spouse} E4 22379 0.934836 1 3 24 -{Divorced, Widowed, Separated, ...} E4 10309 0.727243 1 5 24 -E1 48842 0.912572 0 2 6 -E4 E1 32688 0.869366 0.250779 4 9 - -Hierarchy sex -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Male} F3 32650 1 1 1 24 -{Female} F3 16192 1 1 3 24 -F3 48842 1 0.229664 2 8 - -Composition occupation -Cluster Value Frequency Typicality -{Craft-repair, Transport-moving, Farming-fishing, ...} Craft-repair 6112 1 -{Craft-repair, Transport-moving, Farming-fishing, ...} Transport-moving 2355 0.558393 -{Craft-repair, Transport-moving, Farming-fishing, ...} Farming-fishing 1490 0.291576 -{Craft-repair, Transport-moving, Farming-fishing, ...} Protective-serv 983 0.110912 -{Craft-repair, Transport-moving, Farming-fishing, ...} Armed-Forces 15 0.00345382 -{Craft-repair, Transport-moving, Farming-fishing, ...} * 0 0 -{Machine-op-inspct, Handlers-cleaners} Machine-op-inspct 3022 1 -{Machine-op-inspct, Handlers-cleaners} Handlers-cleaners 2072 0.784427 -{Prof-specialty} Prof-specialty 8981 1 -{Exec-managerial, Sales} Exec-managerial 6086 1 -{Exec-managerial, Sales} Sales 5504 0.503209 -{Adm-clerical, Tech-support} Adm-clerical 5611 1 -{Adm-clerical, Tech-support} Tech-support 1446 0.202539 -{Other-service, Priv-house-serv} Other-service 4923 1 -{Other-service, Priv-house-serv} Priv-house-serv 242 0.110267 - -Composition marital_status -Cluster Value Frequency Typicality -{Never-married, Married-AF-spouse} Never-married 16117 1 -{Never-married, Married-AF-spouse} Married-AF-spouse 37 0.0016512 -{Never-married, Married-AF-spouse} * 0 0 -{Married-civ-spouse} Married-civ-spouse 22379 1 -{Divorced, Widowed, Separated, ...} Divorced 6633 1 -{Divorced, Widowed, Separated, ...} Widowed 1518 0.44822 -{Divorced, Widowed, Separated, ...} Separated 1530 0.268642 -{Divorced, Widowed, Separated, ...} Married-spouse-absent 628 0.0730328 - -Composition sex -Cluster Value Frequency Typicality -{Male} Male 32650 1 -{Female} Female 16192 1 -{Female} * 0 0 - -Cells -age occupation education_num hours_per_week marital_status sex Frequency -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 795 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 758 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 647 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 579 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 555 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 504 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 491 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 467 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 466 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 464 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 434 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 431 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 384 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 367 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 320 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 317 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 315 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 313 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 307 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 307 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 295 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 291 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 284 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 279 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 266 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 250 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 226 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 220 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 217 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 212 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 204 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 197 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 194 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 194 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 192 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 187 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 182 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 179 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 170 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 168 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 165 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 162 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 162 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 160 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 159 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 155 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 155 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 152 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 152 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 152 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 150 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 143 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 138 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 138 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 137 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 137 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 133 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 132 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 131 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 131 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 130 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 129 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 129 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 128 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 128 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 127 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 126 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 125 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 125 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 123 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 122 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 122 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 121 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 121 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 120 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 119 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 119 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 118 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 117 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 116 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 116 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 112 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 110 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 109 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 108 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 107 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 105 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 105 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 105 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 104 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 104 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 102 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 102 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 100 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 99 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 99 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 98 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 97 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 96 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 96 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 96 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 96 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 94 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 93 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 93 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 93 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 92 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 92 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 92 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 92 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 91 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 88 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 88 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 87 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 87 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 86 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 85 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 84 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 84 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 84 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 83 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 83 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 83 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 83 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 83 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 83 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 81 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 80 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 80 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 80 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 79 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 79 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 79 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 79 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 79 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 77 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 77 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 76 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 76 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 75 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 75 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 74 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 73 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 73 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 73 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 72 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 72 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 72 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 72 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 71 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 71 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 70 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 70 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 69 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 69 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 69 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 69 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 69 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 69 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 69 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 68 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 68 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 68 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 67 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 67 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 67 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 67 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 66 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 66 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 66 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 65 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 65 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 64 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 64 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 63 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 63 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 63 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 63 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 63 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 62 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 62 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 62 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 61 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 61 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 61 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 61 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 61 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 60 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 60 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 60 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 59 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 59 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 59 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 59 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 59 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 59 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 59 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 59 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 58 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 58 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 58 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 58 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 58 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 58 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 58 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 58 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 58 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 58 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 58 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 58 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 57 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 57 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 57 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 57 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 56 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 56 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 56 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 56 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 56 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 56 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 56 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 56 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 55 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 55 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 55 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 54 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 54 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 54 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 53 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 53 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 53 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 53 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 53 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 53 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 53 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 53 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 53 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 52 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 52 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 52 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 52 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 52 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 52 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 51 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 51 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 51 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 51 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 51 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 50 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 50 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 50 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 50 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 49 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 49 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 49 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 49 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 49 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 49 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 49 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 48 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 48 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 48 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 48 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 48 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 48 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 48 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 48 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 47 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 47 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 47 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 47 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 47 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 47 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 47 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 46 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 46 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 46 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 46 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 46 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 46 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 46 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 45 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 45 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 45 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 45 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 45 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 45 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 45 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 45 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 45 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 45 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 44 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 44 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 43 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 43 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 43 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 43 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 43 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 43 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 43 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 43 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 43 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 42 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 42 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 42 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 42 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 41 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 41 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 41 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 41 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 41 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 40 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 40 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 40 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 40 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 40 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 40 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 40 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 40 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 40 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 40 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 40 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 39 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 39 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 39 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 39 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 38 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 38 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 38 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 38 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 38 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 38 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 38 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 37 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 37 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 37 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 37 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 37 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 37 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 37 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 37 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 37 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 36 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 36 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 36 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 36 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 36 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 36 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 36 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 36 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 35 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 35 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 35 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 35 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 35 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 35 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 35 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 35 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 35 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 35 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 34 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 34 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 34 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 34 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 34 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 34 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 34 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 34 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 34 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 34 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 34 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 34 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 34 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 33 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 33 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 33 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 33 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 32 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 32 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 32 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 32 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 32 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 32 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 32 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 31 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 31 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 31 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 31 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 31 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 31 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 31 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 31 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 30 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 30 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 30 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 30 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 30 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 30 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 30 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 30 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 30 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 30 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 30 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 30 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 30 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 30 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 29 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 29 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 29 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 29 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 29 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 29 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 29 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 29 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 29 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 29 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 29 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 28 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 28 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 28 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 28 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 28 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 28 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 28 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 28 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 28 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 28 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 28 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 27 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 27 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 27 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 27 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 27 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 27 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 27 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 27 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 27 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 27 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 26 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 26 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 26 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 26 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 26 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 26 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 26 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 26 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 26 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 26 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 26 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 25 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 25 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 25 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 25 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 25 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 25 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 25 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 25 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 25 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 25 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 25 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 25 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 25 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 25 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 25 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 24 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 24 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 24 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 24 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 24 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 24 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 24 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 24 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 24 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 24 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 24 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 23 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 23 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 23 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 23 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 23 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 23 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 23 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 23 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 23 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 23 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 23 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 23 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 23 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 22 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 22 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 22 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 22 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 22 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 22 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 22 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 22 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 22 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 22 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 22 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 22 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 22 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 22 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 22 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 22 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 22 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 21 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 21 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 21 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 21 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 21 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 21 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 21 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 21 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 21 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 21 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 21 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 21 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 21 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 21 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 20 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 20 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 20 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 20 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 20 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 20 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 20 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 20 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 20 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 20 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 20 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 20 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 20 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 20 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 20 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 20 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 20 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 20 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 20 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 20 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 19 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 19 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 19 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 19 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 19 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 19 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 19 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 19 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 19 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 19 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 19 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 18 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 18 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 18 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 18 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 18 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 18 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 18 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 18 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 18 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 18 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 18 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 18 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 18 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 18 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 18 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 18 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 17 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 17 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 17 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 17 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 17 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 17 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 17 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 17 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 17 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 17 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 17 -]40.5;60.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 17 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 17 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 17 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 17 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 16 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 16 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 16 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 16 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 16 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 16 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 16 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 16 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 16 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 16 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 16 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 16 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 16 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 16 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 16 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 16 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 16 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 16 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 15 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 15 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 15 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 15 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 15 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 15 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 15 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 15 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 15 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 15 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 15 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 15 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 15 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 15 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 15 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 15 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 15 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 15 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 15 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 15 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 14 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 14 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 14 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 14 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 14 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 14 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 14 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 14 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 14 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 14 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 14 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 14 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 14 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 14 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 14 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 13 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 13 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 13 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 13 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 13 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 13 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 13 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 13 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 13 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 13 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 13 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 13 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 13 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 13 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 13 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 13 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 13 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 13 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 13 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 13 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 13 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 13 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 13 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 12 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 12 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 12 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 12 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 12 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 12 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 12 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 12 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 12 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 12 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 12 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 12 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 11 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 11 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 11 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 11 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 11 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 11 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 11 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 11 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]28.5;40.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 11 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 11 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 11 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 11 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 11 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 11 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 11 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 11 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 11 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 11 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 10 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 10 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 10 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 10 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 10 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 10 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 10 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 10 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 10 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 10 -]40.5;60.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 10 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 10 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 10 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 10 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 10 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 10 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 10 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 10 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 10 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 10 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 10 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 10 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 9 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 9 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 9 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 9 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 9 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 9 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 9 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 9 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 9 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 9 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 9 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 9 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 9 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 9 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 9 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 9 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 9 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 9 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 9 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 8 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 8 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 8 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 8 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 8 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 8 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 8 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 8 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 8 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 8 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 8 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 8 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 8 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 8 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 8 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 8 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 8 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 7 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 7 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 7 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 7 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 7 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 7 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 7 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 7 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 7 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 7 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 7 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 7 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 7 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 7 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 6 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]28.5;40.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 6 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 6 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]40.5;60.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 6 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 6 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 6 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 6 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 6 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 6 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 6 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 6 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 6 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 6 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 6 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 6 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 6 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 5 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 5 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 5 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]28.5;40.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 5 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 5 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 5 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 5 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 5 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 5 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 5 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 5 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 5 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 5 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 5 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 5 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 5 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]18.5;22.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]18.5;22.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 4 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 4 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 4 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]40.5;60.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 4 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 4 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 4 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 4 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 4 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 4 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 4 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 4 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 4 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 4 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 4 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]28.5;40.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 3 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]28.5;40.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;60.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]40.5;60.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 3 -]40.5;60.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 3 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 3 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 3 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 3 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 3 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 3 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 3 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 3 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]22.5;28.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]22.5;28.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]28.5;40.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]28.5;40.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]28.5;40.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]40.5;60.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 2 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 2 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 2 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 2 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 2 -]60.5;+inf[ {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 2 -]-inf;18.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]-inf;18.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]-inf;18.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]-inf;18.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]18.5;22.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Exec-managerial, Sales} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]18.5;22.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]18.5;22.5] {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]18.5;22.5] {Prof-specialty} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]22.5;28.5] {Exec-managerial, Sales} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]22.5;28.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]22.5;28.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Male} 1 -]22.5;28.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Prof-specialty} ]8.5;9.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]22.5;28.5] {Prof-specialty} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]28.5;40.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]28.5;40.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]28.5;40.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]28.5;40.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]28.5;40.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]28.5;40.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]40.5;60.5] {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]40.5;60.5] {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]8.5;9.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Adm-clerical, Tech-support} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Craft-repair, Transport-moving, Farming-fishing, ...} ]12.5;+inf[ ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Exec-managerial, Sales} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]36.5;43.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Machine-op-inspct, Handlers-cleaners} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]8.5;9.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]-inf;36.5] {Divorced, Widowed, Separated, ...} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Divorced, Widowed, Separated, ...} {Female} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]36.5;43.5] {Married-civ-spouse} {Male} 1 -]60.5;+inf[ {Other-service, Priv-house-serv} ]12.5;+inf[ ]43.5;+inf[ {Married-civ-spouse} {Male} 1 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]-inf;8.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]-inf;36.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]8.5;9.5] ]36.5;43.5] {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]36.5;43.5] {Married-civ-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Female} 1 -]60.5;+inf[ {Prof-specialty} ]9.5;12.5] ]43.5;+inf[ {Never-married, Married-AF-spouse} {Male} 1 - diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt deleted file mode 100644 index 8708b08d..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_age.txt +++ /dev/null @@ -1,12 +0,0 @@ -Hierarchical structure age - ]22.5;28.5] - ]-inf;28.5] - ]-inf;18.5] - ]-inf;22.5] - ]18.5;22.5] - ]-inf;+inf[ - ]60.5;+inf[ - ]28.5;+inf[ - ]28.5;40.5] - ]28.5;60.5] - ]40.5;60.5] diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt deleted file mode 100644 index 401851c4..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_education_num.txt +++ /dev/null @@ -1,8 +0,0 @@ -Hierarchical structure education_num - ]12.5;+inf[ - ]-inf;+inf[ - ]9.5;12.5] - ]-inf;12.5] - ]-inf;8.5] - ]-inf;9.5] - ]8.5;9.5] diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt deleted file mode 100644 index ecb34084..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_hours_per_week.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure hours_per_week - ]-inf;36.5] - ]-inf;+inf[ - ]36.5;43.5] - ]36.5;+inf[ - ]43.5;+inf[ diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt deleted file mode 100644 index 3ed62687..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_marital_status.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure marital_status - {Never-married, Married-AF-spouse} - E1 - {Married-civ-spouse} - E4 - {Divorced, Widowed, Separated, ...} diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt deleted file mode 100644 index bbef370c..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_occupation.txt +++ /dev/null @@ -1,12 +0,0 @@ -Hierarchical structure occupation - {Craft-repair, Transport-moving, Farming-fishing, ...} - B16 - {Machine-op-inspct, Handlers-cleaners} - B5 - {Prof-specialty} - B13 - {Exec-managerial, Sales} - B8 - {Adm-clerical, Tech-support} - B15 - {Other-service, Priv-house-serv} diff --git a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt b/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt deleted file mode 100644 index 0132db50..00000000 --- a/tests/resources/coclustering_results/ref_reports/AdultLegacy_hierarchy_sex.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure sex - {Male} - F3 - {Female} diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt deleted file mode 100644 index 943fac51..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_age.txt +++ /dev/null @@ -1,12 +0,0 @@ -Hierarchical structure age - ]23.5;29.5] - ]-inf;29.5] - ]-inf;18.5] - ]-inf;23.5] - ]18.5;23.5] - ]-inf;+inf[ - ]59.5;+inf[ - ]29.5;+inf[ - ]29.5;40.5] - ]29.5;59.5] - ]40.5;59.5] diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt deleted file mode 100644 index 7b2a7fb3..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_education_num.txt +++ /dev/null @@ -1,8 +0,0 @@ -Hierarchical structure education_num - ]12.5;+inf[ - ]-inf;+inf[ - ]9.5;12.5] - ]-inf;12.5] - ]-inf;8.5] - ]-inf;9.5] - ]8.5;9.5] diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt deleted file mode 100644 index 78bba4c0..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_hours_per_week.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure hours_per_week - ]-inf;36.5] - ]-inf;+inf[ - ]36.5;43.5] - ]36.5;+inf[ - ]43.5;+inf[ diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt deleted file mode 100644 index d96d92cf..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_marital_status.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure marital_status - {Never-married, Married-AF-spouse} - E1 - {Married-civ-spouse} - E4 - {Divorced, Widowed, Separated, ...} diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt deleted file mode 100644 index 60dd52ca..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_occupation.txt +++ /dev/null @@ -1,14 +0,0 @@ -Hierarchical structure occupation - {Craft-repair, Transport-moving, Farming-fishing, ...} - B18 - {Machine-op-inspct, Handlers-cleaners} - B5 - {Prof-specialty} - B12 - {Exec-managerial} - B19 - {Sales} - B7 - {Other-service, Priv-house-serv} - B14 - {Adm-clerical, Tech-support} diff --git a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt b/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt deleted file mode 100644 index a95463f9..00000000 --- a/tests/resources/coclustering_results/ref_reports/Adult_hierarchy_sex.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure sex - {Female} - F3 - {Male} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc deleted file mode 100644 index 02e4d0a0..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering.khc +++ /dev/null @@ -1,58 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 3 3 3 1 -Type False Categorical 3 3 3 1 - -Coclustering stats -Instances 30 -Cells 3 -Null cost 71.79629629 -Cost 54.21221232 -Level 0.2449163102 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiGreek -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A3 10 1 1 1 6 -{<é>} A3 10 1 1 3 6 -{<θ>} A1 10 1 1 5 6 -A3 A1 20 1 0.585855 2 4 -A1 30 1 0 4 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ANSI} B4 10 1 1 1 6 -{ASCII} B4 10 1 1 3 6 -{UTF8 Greek} B2 10 1 1 5 6 -B4 B2 20 1 0.474518 2 5 -B2 30 1 -0.177223 4 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<é>} <é> 10 1 -{<é>} * 0 0 -{<θ>} <θ> 10 1 - -Composition Type -Cluster Value Frequency Typicality -{ANSI} ANSI 10 1 -{ASCII} ASCII 10 1 -{UTF8 Greek} UTF8 Greek 10 1 -{UTF8 Greek} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<θ>} {UTF8 Greek} 10 -{<é>} {ANSI} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 9b6d9b04..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Char - {<θ>} - A1 - {} - A3 - {<é>} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 4988394a..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiGreek_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Type - {UTF8 Greek} - B2 - {ANSI} - B4 - {ASCII} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc deleted file mode 100644 index 5ba13ef4..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering.khc +++ /dev/null @@ -1,65 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 4 4 4 1 -Type False Categorical 4 4 4 1 - -Coclustering stats -Instances 40 -Cells 4 -Null cost 119.3404907 -Cost 91.36407336 -Level 0.2344251911 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatinGreek -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{<é>} A3 10 1 1 1 8 -{<θ>} A3 10 1 1 3 8 -{} A5 10 1 1 5 8 -{<é>} A5 10 1 1 7 8 -A3 A1 20 1 0.593613 2 4 -A1 40 1 0 4 2 -A5 A1 20 1 0.835387 6 6 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{UTF8 Greek} B4 10 1 1 1 8 -{UTF8 Latin} B4 10 1 1 3 8 -{ANSI} B6 10 1 1 5 8 -{ASCII} B6 10 1 1 7 8 -B4 B2 20 1 0.518102 2 5 -B2 40 1 -0.144788 4 3 -B6 B2 20 1 0.713166 6 7 - -Composition Char -Cluster Value Frequency Typicality -{<é>} <é> 10 1 -{<θ>} <θ> 10 1 -{} 10 1 -{<é>} <é> 10 1 -{<é>} * 0 0 - -Composition Type -Cluster Value Frequency Typicality -{UTF8 Greek} UTF8 Greek 10 1 -{UTF8 Latin} UTF8 Latin 10 1 -{UTF8 Latin} * 0 0 -{ANSI} ANSI 10 1 -{ASCII} ASCII 10 1 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<é>} {UTF8 Latin} 10 -{<θ>} {UTF8 Greek} 10 -{<é>} {ANSI} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 3fc869a8..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,8 +0,0 @@ -Hierarchical structure Char - {<é>} - A3 - {<θ>} - A1 - {} - A5 - {<é>} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 322bb116..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatinGreek_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,8 +0,0 @@ -Hierarchical structure Type - {UTF8 Greek} - B4 - {UTF8 Latin} - B2 - {ANSI} - B6 - {ASCII} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc deleted file mode 100644 index 222ea5ef..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering.khc +++ /dev/null @@ -1,58 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 3 3 3 1 -Type False Categorical 3 3 3 1 - -Coclustering stats -Instances 30 -Cells 3 -Null cost 71.79629629 -Cost 54.21221232 -Level 0.2449163102 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable AnsiLatin -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A3 10 1 1 1 6 -{<é>} A3 10 1 1 3 6 -{<é>} A1 10 1 1 5 6 -A3 A1 20 1 0.585855 2 4 -A1 30 1 0 4 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ANSI} B4 10 1 1 1 6 -{ASCII} B4 10 1 1 3 6 -{UTF8 Latin} B2 10 1 1 5 6 -B4 B2 20 1 0.474518 2 5 -B2 30 1 -0.177223 4 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<é>} <é> 10 1 -{<é>} * 0 0 -{<é>} <é> 10 1 - -Composition Type -Cluster Value Frequency Typicality -{ANSI} ANSI 10 1 -{ASCII} ASCII 10 1 -{UTF8 Latin} UTF8 Latin 10 1 -{UTF8 Latin} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<é>} {UTF8 Latin} 10 -{<é>} {ANSI} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 09eb892e..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Char - {<é>} - A1 - {} - A3 - {<é>} diff --git a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 7554f50e..00000000 --- a/tests/resources/coclustering_results/ref_reports/AnsiLatin_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Type - {UTF8 Latin} - B2 - {ANSI} - B4 - {ASCII} diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc deleted file mode 100644 index c6f8d04f..00000000 --- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering.khc +++ /dev/null @@ -1,51 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 2 2 2 1 -Type False Categorical 2 2 2 1 - -Coclustering stats -Instances 20 -Cells 2 -Null cost 31.03577469 -Cost 22.73813924 -Level 0.2673571236 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Ansi -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A1 10 1 1 1 4 -{<é>} A1 10 1 1 3 4 -A1 20 1 0 2 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ANSI} B2 10 1 1 1 4 -{ASCII} B2 10 1 1 3 4 -B2 20 1 -0.210392 2 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<é>} <é> 10 1 -{<é>} * 0 0 - -Composition Type -Cluster Value Frequency Typicality -{ANSI} ANSI 10 1 -{ASCII} ASCII 10 1 -{ASCII} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<é>} {ANSI} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 03642b9c..00000000 --- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Char - {} - A1 - {<é>} diff --git a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 4d0f8973..00000000 --- a/tests/resources/coclustering_results/ref_reports/Ansi_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Type - {ANSI} - B2 - {ASCII} diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc deleted file mode 100644 index 1f5cb6b9..00000000 --- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering.khc +++ /dev/null @@ -1,51 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 2 2 2 1 -Type False Categorical 2 2 2 1 - -Coclustering stats -Instances 20 -Cells 2 -Null cost 31.03577469 -Cost 22.73813924 -Level 0.2673571236 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Greek -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A1 10 1 1 1 4 -{<θ>} A1 10 1 1 3 4 -A1 20 1 0 2 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ASCII} B2 10 1 1 1 4 -{UTF8 Greek} B2 10 1 1 3 4 -B2 20 1 -0.210392 2 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<θ>} <θ> 10 1 -{<θ>} * 0 0 - -Composition Type -Cluster Value Frequency Typicality -{ASCII} ASCII 10 1 -{UTF8 Greek} UTF8 Greek 10 1 -{UTF8 Greek} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<θ>} {UTF8 Greek} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 276f3613..00000000 --- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Char - {} - A1 - {<θ>} diff --git a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 588bb0cd..00000000 --- a/tests/resources/coclustering_results/ref_reports/Greek_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Type - {ASCII} - B2 - {UTF8 Greek} diff --git a/tests/resources/coclustering_results/ref_reports/Iris.khc b/tests/resources/coclustering_results/ref_reports/Iris.khc deleted file mode 100644 index 6471fa88..00000000 --- a/tests/resources/coclustering_results/ref_reports/Iris.khc +++ /dev/null @@ -1,69 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 3 -Name Is variable part Type Parts Initial parts Values Interest Description -PetalLength False Numerical 3 3 150 1 -PetalWidth False Numerical 3 3 150 1 -Class False Categorical 3 3 3 1 - -Coclustering stats -Instances 150 -Cells 7 -Null cost 1379.668177 -Cost 1164.273132 -Level 0.1561209056 -Initial dimensions 3 -Frequency variable -Dictionary Iris -Database ../../../datasets/Iris/Iris.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value - -Bounds -Name Min Max -PetalLength 1 6.9 -PetalWidth 0.1 2.5 - -Hierarchy PetalLength -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;2.4] ]-inf;+inf[ 50 0.557285 1 1 9 -]2.4;4.75] ]2.4;+inf[ 45 1 1 3 9 -]4.75;+inf[ ]2.4;+inf[ 55 0.442715 1 5 9 -]-inf;+inf[ 150 0.648091 -0.0145257 2 4 -]2.4;+inf[ ]-inf;+inf[ 100 0.693493 0.856289 4 8 - -Hierarchy PetalWidth -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -]-inf;0.8] ]-inf;+inf[ 50 0.569949 1 1 9 -]0.8;1.75] ]0.8;+inf[ 54 1 1 3 9 -]1.75;+inf[ ]0.8;+inf[ 46 0.430051 1 5 9 -]-inf;+inf[ 150 0.681865 0.374198 2 5 -]0.8;+inf[ ]-inf;+inf[ 100 0.737824 0.704564 4 7 - -Hierarchy Class -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Iris-setosa} C1 50 1 1 1 9 -{Iris-versicolor} C4 50 0.912663 1 3 9 -{Iris-virginica} C4 50 0.912663 1 5 9 -C1 150 0.941775 0 2 3 -C4 C1 100 0.912663 0.739904 4 6 - -Composition Class -Cluster Value Frequency Typicality -{Iris-setosa} Iris-setosa 50 1 -{Iris-versicolor} Iris-versicolor 50 1 -{Iris-virginica} Iris-virginica 50 1 -{Iris-virginica} * 0 0 - -Cells -PetalLength PetalWidth Class Frequency -]-inf;2.4] ]-inf;0.8] {Iris-setosa} 50 -]4.75;+inf[ ]1.75;+inf[ {Iris-virginica} 45 -]2.4;4.75] ]0.8;1.75] {Iris-versicolor} 44 -]4.75;+inf[ ]0.8;1.75] {Iris-versicolor} 5 -]4.75;+inf[ ]0.8;1.75] {Iris-virginica} 4 -]2.4;4.75] ]0.8;1.75] {Iris-virginica} 1 -]4.75;+inf[ ]1.75;+inf[ {Iris-versicolor} 1 - diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt deleted file mode 100644 index 53a821fe..00000000 --- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_Class.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Class - {Iris-setosa} - C1 - {Iris-versicolor} - C4 - {Iris-virginica} diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt deleted file mode 100644 index 589cc124..00000000 --- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalLength.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure PetalLength - ]-inf;2.4] - ]-inf;+inf[ - ]2.4;4.75] - ]2.4;+inf[ - ]4.75;+inf[ diff --git a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt b/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt deleted file mode 100644 index 5791e9e2..00000000 --- a/tests/resources/coclustering_results/ref_reports/Iris_hierarchy_PetalWidth.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure PetalWidth - ]-inf;0.8] - ]-inf;+inf[ - ]0.8;1.75] - ]0.8;+inf[ - ]1.75;+inf[ diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc deleted file mode 100644 index d6474e3c..00000000 --- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering.khc +++ /dev/null @@ -1,58 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 3 3 3 1 -Type False Categorical 3 3 3 1 - -Coclustering stats -Instances 30 -Cells 3 -Null cost 71.79629629 -Cost 54.21221232 -Level 0.2449163102 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable LatinGreek -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A3 10 1 1 1 6 -{<θ>} A3 10 1 1 3 6 -{<é>} A1 10 1 1 5 6 -A3 A1 20 1 0.585855 2 4 -A1 30 1 0 4 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ASCII} B4 10 1 1 1 6 -{UTF8 Greek} B4 10 1 1 3 6 -{UTF8 Latin} B2 10 1 1 5 6 -B4 B2 20 1 0.474518 2 5 -B2 30 1 -0.177223 4 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<θ>} <θ> 10 1 -{<θ>} * 0 0 -{<é>} <é> 10 1 - -Composition Type -Cluster Value Frequency Typicality -{ASCII} ASCII 10 1 -{UTF8 Greek} UTF8 Greek 10 1 -{UTF8 Latin} UTF8 Latin 10 1 -{UTF8 Latin} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<é>} {UTF8 Latin} 10 -{<θ>} {UTF8 Greek} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 313e0bda..00000000 --- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Char - {<é>} - A1 - {} - A3 - {<θ>} diff --git a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 1af0ad85..00000000 --- a/tests/resources/coclustering_results/ref_reports/LatinGreek_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,6 +0,0 @@ -Hierarchical structure Type - {UTF8 Latin} - B2 - {ASCII} - B4 - {UTF8 Greek} diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc deleted file mode 100644 index 27756d1e..00000000 --- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering.khc +++ /dev/null @@ -1,51 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -Char False Categorical 2 2 2 1 -Type False Categorical 2 2 2 1 - -Coclustering stats -Instances 20 -Cells 2 -Null cost 31.03577469 -Cost 22.73813924 -Level 0.2673571236 -Initial dimensions 2 -Frequency variable -Dictionary MultipleEncodings -Database ./MultipleEncodings.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable Latin -Selection value 1 - -Hierarchy Char -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{} A1 10 1 1 1 4 -{<é>} A1 10 1 1 3 4 -A1 20 1 0 2 2 - -Hierarchy Type -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ASCII} B2 10 1 1 1 4 -{UTF8 Latin} B2 10 1 1 3 4 -B2 20 1 -0.210392 2 3 - -Composition Char -Cluster Value Frequency Typicality -{} 10 1 -{<é>} <é> 10 1 -{<é>} * 0 0 - -Composition Type -Cluster Value Frequency Typicality -{ASCII} ASCII 10 1 -{UTF8 Latin} UTF8 Latin 10 1 -{UTF8 Latin} * 0 0 - -Cells -Char Type Frequency -{} {ASCII} 10 -{<é>} {UTF8 Latin} 10 - diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt deleted file mode 100644 index 03642b9c..00000000 --- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Char.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Char - {} - A1 - {<é>} diff --git a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt b/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt deleted file mode 100644 index 01dcb7ce..00000000 --- a/tests/resources/coclustering_results/ref_reports/Latin_Coclustering_hierarchy_Type.txt +++ /dev/null @@ -1,4 +0,0 @@ -Hierarchical structure Type - {ASCII} - B2 - {UTF8 Latin} diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc deleted file mode 100644 index 49d04dd4..00000000 --- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated.khc +++ /dev/null @@ -1,140 +0,0 @@ -#Khiops 10.0.0.3i -Short description -Dimensions 2 -Name Is variable part Type Parts Initial parts Values Interest Description -CapColor False Categorical 7 7 10 1 -Odor False Categorical 7 7 9 1 - -Coclustering stats -Instances 8416 -Cells 25 -Null cost 27983.3 -Cost 24901.7 -Level 0.1101228233 -Initial dimensions 2 -Frequency variable -Dictionary Mushroom -Database C:\Temp\Mushroom\Mushroom.txt -Sample percentage 100 -Sampling mode Include sample -Selection variable -Selection value - -Hierarchy CapColor -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{YELLOW} A2 1072 1 1 1 14 -{GRAY, BUFF} A6 2264 0.739123 1 3 14 -{WHITE} A9 1040 0.626873 1 5 14 -{PINK} A12 144 0.276019 1 7 14 -{CINNAMON, GREEN, PURPLE} A12 76 0.14494 1 9 14 -{RED} A10 1500 0.680039 1 11 14 -{BROWN} A10 2320 0.668346 1 13 14 -A2 8416 0.71515 -0.00326863 2 3 -A6 A3 3524 0.674258 0.651661 4 7 -A9 A6 1260 0.557706 0.895619 6 10 -A12 A9 220 0.230737 0.995743 8 13 -A3 A2 7344 0.673571 0.358859 10 4 -A10 A3 3820 0.672937 0.942919 12 11 - -Hierarchy Odor -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{ALMOND, ANISE} B5 800 0.91958 1 1 14 -{FOUL} B5 2160 0.876044 1 3 14 -{FISHY, SPICY} B11 1152 1 1 5 14 -{MUSTY} B11 48 0.145564 1 7 14 -{NONE} B7 3808 0.865195 1 9 14 -{CREOSOTE} B8 192 0.46277 1 11 14 -{PUNGENT} B8 256 0.378504 1 13 14 -B5 B1 2960 0.88781 0.633019 2 6 -B1 8416 0.863512 0 4 2 -B11 B4 1200 0.965823 0.98921 6 12 -B4 B1 5456 0.85033 0.405738 8 5 -B7 B4 4256 0.817766 0.80499 10 8 -B8 B7 448 0.414618 0.859857 12 9 - -Composition CapColor -Cluster Value Frequency Typicality -{YELLOW} YELLOW 1072 1 -{GRAY, BUFF} GRAY 2096 1 -{GRAY, BUFF} BUFF 168 0.186724 -{WHITE} WHITE 1040 1 -{PINK} PINK 144 1 -{CINNAMON, GREEN, PURPLE} CINNAMON 44 1 -{CINNAMON, GREEN, PURPLE} GREEN 16 0.32908 -{CINNAMON, GREEN, PURPLE} PURPLE 16 0.286005 -{RED} RED 1500 1 -{BROWN} BROWN 2320 1 -{BROWN} * 0 0 - -Composition Odor -Cluster Value Frequency Typicality -{ALMOND, ANISE} ALMOND 400 1 -{ALMOND, ANISE} ANISE 400 1 -{FOUL} FOUL 2160 1 -{FISHY, SPICY} FISHY 576 1 -{FISHY, SPICY} SPICY 576 1 -{MUSTY} MUSTY 48 1 -{NONE} NONE 3808 1 -{CREOSOTE} CREOSOTE 192 1 -{PUNGENT} PUNGENT 256 1 -{PUNGENT} * 0 0 - -Cells -CapColor Odor Frequency -{GRAY, BUFF} {NONE} 1360 -{BROWN} {NONE} 1208 -{GRAY, BUFF} {FOUL} 840 -{YELLOW} {FOUL} 648 -{RED} {NONE} 624 -{BROWN} {FISHY, SPICY} 576 -{RED} {FISHY, SPICY} 576 -{WHITE} {NONE} 448 -{YELLOW} {ALMOND, ANISE} 400 -{WHITE} {ALMOND, ANISE} 304 -{BROWN} {FOUL} 288 -{RED} {FOUL} 288 -{BROWN} {PUNGENT} 128 -{WHITE} {PUNGENT} 128 -{BROWN} {ALMOND, ANISE} 96 -{WHITE} {FOUL} 96 -{PINK} {NONE} 80 -{CINNAMON, GREEN, PURPLE} {NONE} 64 -{GRAY, BUFF} {CREOSOTE} 64 -{PINK} {CREOSOTE} 64 -{WHITE} {CREOSOTE} 64 -{BROWN} {MUSTY} 24 -{YELLOW} {NONE} 24 -{CINNAMON, GREEN, PURPLE} {MUSTY} 12 -{RED} {MUSTY} 12 - -Annotation CapColor -Cluster Expand Selected ShortDescription Description -{YELLOW} FALSE FALSE Jaune -{GRAY, BUFF} FALSE FALSE Gris Gris¤comme¤Gandalf -{WHITE} FALSE FALSE Blanc Blanc¤comme¤Saruman -{PINK} FALSE FALSE Rose -{CINNAMON, GREEN, PURPLE} FALSE FALSE Cannelle -{RED} FALSE FALSE Rouge Rouge!!!°Ah¤la¤la,¤ça¤craint... -{BROWN} FALSE FALSE Brun -A2 FALSE FALSE -A6 FALSE FALSE -A9 FALSE FALSE -A12 FALSE FALSE -A3 FALSE FALSE -A10 FALSE FALSE - -Annotation Odor -Cluster Expand Selected ShortDescription Description -{ALMOND, ANISE} FALSE FALSE -{FOUL} FALSE FALSE -{FISHY, SPICY} FALSE FALSE -{MUSTY} FALSE FALSE -{NONE} FALSE FALSE -{CREOSOTE} FALSE FALSE -{PUNGENT} FALSE FALSE -B5 FALSE FALSE -B1 FALSE FALSE -B11 FALSE FALSE -B4 FALSE FALSE -B7 FALSE FALSE -B8 FALSE FALSE diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt deleted file mode 100644 index cd529031..00000000 --- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_CapColor.txt +++ /dev/null @@ -1,14 +0,0 @@ -Hierarchical structure CapColor - {YELLOW} - A2 - {GRAY, BUFF} - A6 - {WHITE} - A9 - {PINK} - A12 - {CINNAMON, GREEN, PURPLE} - A3 - {RED} - A10 - {BROWN} diff --git a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt b/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt deleted file mode 100644 index 50e60e71..00000000 --- a/tests/resources/coclustering_results/ref_reports/MushroomAnnotated_hierarchy_Odor.txt +++ /dev/null @@ -1,14 +0,0 @@ -Hierarchical structure Odor - {ALMOND, ANISE} - B5 - {FOUL} - B1 - {FISHY, SPICY} - B11 - {MUSTY} - B4 - {NONE} - B7 - {CREOSOTE} - B8 - {PUNGENT} diff --git a/tests/test_core.py b/tests/test_core.py index 0ea3960c..608c8b33 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -7,12 +7,15 @@ """Tests for the khiops.core module""" import glob import io +import json import os import shutil +import tempfile import textwrap import unittest import warnings from copy import copy +from difflib import unified_diff from pathlib import Path from unittest import mock @@ -31,16 +34,75 @@ class KhiopsCoreIOTests(unittest.TestCase): """Tests the reading/writing of files for the core module classes/functions""" + def _assert_coclustering_report_is_written_to_sorted_json_file( + self, cc_report, ref_json_report + ): + # Write the coclustering report to a JSON file, sorted according to + # the spec defined in the CoclusteringResults class + # Set _ensure_ascii, as non-ASCII characters are escaped in the reference + # reports + tmp_dir = tempfile.mkdtemp() + output_report = os.path.join(tmp_dir, "TestCoclustering.khcj") + cc_report.write_khiops_json_file(output_report, _ensure_ascii=True) + + # Load JSON Khiops reports into Python dictionaries + with open(ref_json_report, encoding="utf-8") as ref_json_file: + ref_json = json.load(ref_json_file) + with open(output_report, encoding="utf-8") as output_json_file: + output_json = json.load(output_json_file) + + # Dump reports with consistent indentation + ref_json_string = json.dumps(ref_json, indent=4) + output_json_string = json.dumps(output_json, indent=4) + + # Succeed if the dumped reports are equal + if output_json_string == ref_json_string: + shutil.rmtree(tmp_dir) + return + + # On failure print the differences + output_json_lines = output_json_string.splitlines(keepends=True) + ref_json_lines = ref_json_string.splitlines(keepends=True) + out_ref_diff = "".join(unified_diff(ref_json_lines, output_json_lines)) + if out_ref_diff: + self.fail( + "CoclusteringResults JSON dump differs from reference " + f"'{ref_json_report}':\n{out_ref_diff}" + ) + + def _assert_analysis_report_is_dumped_to_correct_json( + self, report, ref_json_report + ): + # Dump the report as JSON (4-space indented and keys sorted in + # lexicographic order) + output_json = report.to_dict() + output_json_string = json.dumps(output_json, indent=4, sort_keys=True) + + # Dump the reference JSON report (4-space indented and keys sorted in + # lexicographic order) + with open(ref_json_report, encoding="utf-8") as ref_json_file: + ref_json = json.load(ref_json_file) + ref_json_string = json.dumps(ref_json, indent=4, sort_keys=True) + + # Succeed if the dumped reports are equal + if output_json_string == ref_json_string: + return + + # On failure print the differences + output_json_lines = output_json_string.splitlines(keepends=True) + ref_json_lines = ref_json_string.splitlines(keepends=True) + out_ref_diff = "".join(unified_diff(ref_json_lines, output_json_lines)) + if out_ref_diff: + self.fail( + f"AnalysisResults JSON dump differs from reference " + f"'{ref_json_report}':\n{out_ref_diff}" + ) + def test_analysis_results(self): """Tests for the analysis_results module""" # Set the test paths test_resources_dir = os.path.join(resources_dir(), "analysis_results") - ref_reports_dir = os.path.join(test_resources_dir, "ref_reports") ref_json_reports_dir = os.path.join(test_resources_dir, "ref_json_reports") - output_reports_dir = os.path.join(test_resources_dir, "output_reports") - - # Cleanup previous output files - cleanup_dir(output_reports_dir, "*.txt") # Read the json reports, dump them as txt reports, and compare to the reference reports = [ @@ -50,7 +112,6 @@ def test_analysis_results(self): "AnsiGreek", "AnsiLatin", "AnsiLatinGreek", - "AnyChar", "BadTool", "Deft2017ChallengeNGrams1000", "EmptyDatabase", @@ -59,9 +120,10 @@ def test_analysis_results(self): "IrisC", "IrisG", "IrisR", + "IrisRWithTrees", + "SpliceJunctionWithTrees", "IrisU", "IrisU2D", - "LargeSpiral", "Latin", "LatinGreek", "MissingDiscretization", @@ -77,9 +139,7 @@ def test_analysis_results(self): ] reports_ko = ["BadTool", "NoVersion"] for report in reports: - ref_report = os.path.join(ref_reports_dir, f"{report}.txt") ref_json_report = os.path.join(ref_json_reports_dir, f"{report}.khj") - output_report = os.path.join(output_reports_dir, f"{report}.txt") with self.subTest(report=report): if report in reports_ko: with self.assertRaises(kh.KhiopsJSONError): @@ -87,28 +147,26 @@ def test_analysis_results(self): elif report in reports_warn: with self.assertWarns(UserWarning): results = kh.read_analysis_results_file(ref_json_report) - results.write_report_file(output_report) - assert_files_equal(self, ref_report, output_report) + self._assert_analysis_report_is_dumped_to_correct_json( + results, ref_json_report + ) else: results = kh.read_analysis_results_file(ref_json_report) - results.write_report_file(output_report) - assert_files_equal(self, ref_report, output_report) + self._assert_analysis_report_is_dumped_to_correct_json( + results, ref_json_report + ) def test_coclustering_results(self): """Tests for the coclustering_results module""" # Set the test paths test_resources_dir = os.path.join(resources_dir(), "coclustering_results") - ref_reports_dir = os.path.join(test_resources_dir, "ref_reports") ref_json_reports_dir = os.path.join(test_resources_dir, "ref_json_reports") - output_reports_dir = os.path.join(test_resources_dir, "output_reports") - - # Cleanup output files - cleanup_dir(output_reports_dir, "*.txt") # Read then json reports, dump them as txt reports and compare to the reference reports = [ "Adult", "Iris", + "IrisIV", "Ansi_Coclustering", "AnsiGreek_Coclustering", "AnsiLatin_Coclustering", @@ -123,30 +181,16 @@ def test_coclustering_results(self): "AnsiLatinGreek_Coclustering", ] for report in reports: - ref_report = os.path.join(ref_reports_dir, f"{report}.khc") ref_json_report = os.path.join(ref_json_reports_dir, f"{report}.khcj") - output_report = os.path.join(output_reports_dir, f"{report}.khc") with self.subTest(report=report): if report in reports_warn: with self.assertWarns(UserWarning): results = kh.read_coclustering_results_file(ref_json_report) else: results = kh.read_coclustering_results_file(ref_json_report) - results.write_report_file(output_report) - assert_files_equal(self, ref_report, output_report) - for dimension in results.coclustering_report.dimensions: - ref_hierarchy_report = os.path.join( - ref_reports_dir, f"{report}_hierarchy_{dimension.name}.txt" - ) - output_hierarchy_report = os.path.join( - output_reports_dir, f"{report}_hierarchy_{dimension.name}.txt" - ) - dimension.write_hierarchy_structure_report_file( - output_hierarchy_report - ) - assert_files_equal( - self, ref_hierarchy_report, output_hierarchy_report - ) + self._assert_coclustering_report_is_written_to_sorted_json_file( + results, ref_json_report + ) def test_binary_dictionary_domain(self): """Test binary dictionary write""" @@ -1163,12 +1207,12 @@ def test_analysis_results_accessors(self): ], "AdultEvaluation": None, "Iris2D": [ + "PetalWidth", "SPetalLength", "PetalLength", - "PetalWidth", - "Class2", "LowerPetalLength", "Class1", + "Class2", "UpperPetalWidth", "SepalLength", "SepalWidth", @@ -1176,12 +1220,12 @@ def test_analysis_results_accessors(self): "Dummy2", ], "IrisC": [ + "PetalWidth", "SPetalLength", "PetalLength", - "PetalWidth", - "Class2", "LowerPetalLength", "Class1", + "Class2", "UpperPetalWidth", "SepalLength", "SepalWidth", @@ -1194,9 +1238,9 @@ def test_analysis_results_accessors(self): "PetalWidth", "LowerPetalLength", "Class1", + "UpperPetalWidth", "SepalLength", "Class2", - "UpperPetalWidth", "SepalWidth", "Dummy1", "Dummy2", @@ -1216,31 +1260,31 @@ def test_analysis_results_accessors(self): ("Dummy2", "SepalWidth"), ("Dummy2", "UpperPetalWidth"), ("SepalWidth", "UpperPetalWidth"), - ("Class2", "SepalLength"), - ("SepalLength", "SepalWidth"), - ("Class2", "SepalWidth"), ("Class2", "UpperPetalWidth"), + ("SepalLength", "SepalWidth"), + ("Class2", "SepalLength"), ("Class1", "SepalWidth"), + ("Class2", "SepalWidth"), ("LowerPetalLength", "SepalWidth"), + ("PetalLength", "SepalWidth"), ("PetalWidth", "SepalWidth"), ("SPetalLength", "SepalWidth"), - ("PetalLength", "SepalWidth"), + ("Class2", "LowerPetalLength"), + ("Class1", "Class2"), ("Class1", "UpperPetalWidth"), ("LowerPetalLength", "UpperPetalWidth"), ("SepalLength", "UpperPetalWidth"), - ("Class2", "LowerPetalLength"), - ("Class1", "Class2"), ("Class1", "SepalLength"), + ("Class2", "PetalLength"), ("LowerPetalLength", "SepalLength"), + ("PetalLength", "SepalLength"), ("PetalWidth", "SepalLength"), ("SPetalLength", "SepalLength"), - ("PetalLength", "SepalLength"), + ("PetalLength", "UpperPetalWidth"), ("PetalWidth", "UpperPetalWidth"), ("SPetalLength", "UpperPetalWidth"), - ("PetalLength", "UpperPetalWidth"), - ("Class2", "PetalWidth"), - ("Class2", "PetalLength"), ("Class2", "SPetalLength"), + ("Class2", "PetalWidth"), ("Class1", "PetalLength"), ("Class1", "LowerPetalLength"), ("LowerPetalLength", "PetalLength"), @@ -1248,18 +1292,22 @@ def test_analysis_results_accessors(self): ("LowerPetalLength", "SPetalLength"), ("Class1", "SPetalLength"), ("Class1", "PetalWidth"), + ("PetalLength", "SPetalLength"), ("PetalWidth", "SPetalLength"), ("PetalLength", "PetalWidth"), - ("PetalLength", "SPetalLength"), ], } }, "ModelingReport": { "get_predictor_names": { "Adult": ["Selective Naive Bayes", "Univariate relationship"], - "Iris2D": ["Selective Naive Bayes", "Univariate SPetalLength"], - "IrisC": ["Selective Naive Bayes", "Univariate SPetalLength"], - "IrisR": ["Selective Naive Bayes", "Univariate SPetalLength"], + "Iris2D": ["Selective Naive Bayes", "Univariate PetalWidth"], + "IrisC": ["Selective Naive Bayes", "Univariate PetalWidth"], + "IrisR": [ + "Baseline", + "Selective Naive Bayes", + "Univariate SPetalLength", + ], } }, "EvaluationReport": { @@ -1269,9 +1317,13 @@ def test_analysis_results_accessors(self): "Selective Naive Bayes", "Univariate relationship", ], - "Iris2D": ["Selective Naive Bayes", "Univariate SPetalLength"], - "IrisC": ["Selective Naive Bayes", "Univariate SPetalLength"], - "IrisR": ["Selective Naive Bayes", "Univariate SPetalLength"], + "Iris2D": ["Selective Naive Bayes", "Univariate PetalWidth"], + "IrisC": ["Selective Naive Bayes", "Univariate PetalWidth"], + "IrisR": [ + "Baseline", + "Selective Naive Bayes", + "Univariate SPetalLength", + ], } }, "PredictorPerformance": { @@ -1554,11 +1606,6 @@ def test_coclustering_results_simple_edge_cases(self): {"cluster": "MYCLUSTER", "values": []} ) self.assertIn("'valueFrequencies' key not found", cm.exception.args[0]) - with self.assertRaises(kh.KhiopsJSONError) as cm: - kh.CoclusteringDimensionPartValueGroup( - {"cluster": "MYCLUSTER", "values": [], "valueFrequencies": []} - ) - self.assertIn("'valueTypicalities' key not found", cm.exception.args[0]) with self.assertRaises(kh.KhiopsJSONError) as cm: kh.CoclusteringDimensionPartValueGroup( { @@ -1572,19 +1619,6 @@ def test_coclustering_results_simple_edge_cases(self): "'valueFrequencies' key list must have the same length", cm.exception.args[0], ) - with self.assertRaises(kh.KhiopsJSONError) as cm: - kh.CoclusteringDimensionPartValueGroup( - { - "cluster": "MYCLUSTER", - "values": [], - "valueFrequencies": [], - "valueTypicalities": [1], - } - ) - self.assertIn( - "'valueTypicalities' key list must have the same length", - cm.exception.args[0], - ) with self.assertRaises(TypeError): kh.CoclusteringCluster(json_data="NOT A DICT") with self.assertRaises(kh.KhiopsJSONError) as cm: diff --git a/tests/test_estimator_attributes.py b/tests/test_estimator_attributes.py index 3a3fe0db..0efb09b3 100644 --- a/tests/test_estimator_attributes.py +++ b/tests/test_estimator_attributes.py @@ -105,17 +105,12 @@ def assert_attribute_values_ok(self, model, X, y): else: pair_feature_evaluated_names_ = [] pair_feature_evaluated_levels_ = [] - if "treePreparationReport" in model.model_report_.json_data: - tree_preparation_report = model.model_report_.json_data[ - "treePreparationReport" - ]["variablesStatistics"] - tree_feature_evaluated_names_ = [ - tree_preparation_report[i]["name"] - for i in range(0, len(tree_preparation_report)) - ] + if model.model_report_.tree_preparation_report is not None: + tree_preparation_report = model.model_report_.tree_preparation_report + tree_feature_evaluated_names_ = tree_preparation_report.get_variable_names() tree_feature_evaluated_levels_ = [ - [tree_preparation_report[i]["level"]] - for i in range(0, len(tree_preparation_report)) + [tree_preparation_report.get_variable_statistics(var).level] + for var in tree_preparation_report.get_variable_names() ] else: tree_feature_evaluated_names_ = []