Classification-and-Action-Rule-Extraction-using-Fragile-State-Index/RandomForest.txt at main · aarshg28/Classification-and-Action-Rule-Extraction-using-Fragile-State-Index · GitHub

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Random Forest:

=== Run information ===

Scheme:       weka.classifiers.trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
Relation:     Group-14-Original-weka.filters.unsupervised.attribute.Discretize-B10-M-1.0-Rfirst-last-precision6
Instances:    178
Attributes:   17
              Country
              Year
              Rank
              Total
              C1: Security Apparatus
              C2: Factionalized Elites
              C3: Group Grievance
              E1: Economy
              E2: Economic Inequality
              E3: Human Flight and Brain Drain
              P1: State Legitimacy
              P2: Public Services
              P3: Human Rights
              S1: Demographic Pressures
              S2: Refugees and IDPs
              X1: External Intervention
              Fragile State Index
Test mode:    10-fold cross-validation

=== Classifier model (full training set) ===

RandomForest

Bagging with 100 iterations and base learner

weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities

Time taken to build model: 0.12 seconds

=== Stratified cross-validation ===
=== Summary ===

Correctly Classified Instances         160               89.8876 %
Incorrectly Classified Instances        18               10.1124 %
Kappa statistic                          0.8388
Mean absolute error                      0.2269
Root mean squared error                  0.2865
Relative absolute error                 68.8849 %
Root relative squared error             70.698  %
Total Number of Instances              178

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.657    0.000    1.000      0.657    0.793      0.779    0.995     0.984     Alert
                 1.000    0.191    0.840      1.000    0.913      0.824    0.989     0.989     Warning
                 0.872    0.007    0.971      0.872    0.919      0.900    0.993     0.965     Stable
                 0.933    0.000    1.000      0.933    0.966      0.963    0.998     0.983     Sustainable
Weighted Avg.    0.899    0.097    0.914      0.899    0.895      0.843    0.992     0.982

=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 23 12  0  0 |  a = Alert
  0 89  0  0 |  b = Warning
  0  5 34  0 |  c = Stable
  0  0  1 14 |  d = Sustainable