RandomForest2 : RandomForest

=== Evaluation result ===

Scheme: RandomForest2 : RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 1 -M 1.0 -V 0.001 -S 1
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast


Correctly Classified Instances         257               64.25   %
Incorrectly Classified Instances       143               35.75   %
Kappa statistic                          0.1667
Mean absolute error                      0.3769
Root mean squared error                  0.5025
Relative absolute error                 75.7735 %
Root relative squared error            101.0053 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.442    0.271    0.411      0.442    0.426      0.167    0.628     0.433     0
                 0.729    0.558    0.753      0.729    0.740      0.167    0.628     0.777     1
Weighted Avg.    0.643    0.472    0.650      0.643    0.646      0.167    0.628     0.674     

=== Confusion Matrix ===

   a   b   <-- classified as
  53  67 |   a = 0
  76 204 |   b = 1
Logistic2 : Logistic

=== Evaluation result ===

Scheme: Logistic2 : Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         267               66.75   %
Incorrectly Classified Instances       133               33.25   %
Kappa statistic                          0.288 
Mean absolute error                      0.4163
Root mean squared error                  0.4628
Relative absolute error                 83.6834 %
Root relative squared error             93.0151 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.642    0.321    0.461      0.642    0.537      0.298    0.711     0.493     0
                 0.679    0.358    0.815      0.679    0.741      0.298    0.711     0.827     1
Weighted Avg.    0.668    0.347    0.709      0.668    0.679      0.298    0.711     0.727     

=== Confusion Matrix ===

   a   b   <-- classified as
  77  43 |   a = 0
  90 190 |   b = 1
NaiveBayes2 : NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes2 : NaiveBayes
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         232               58      %
Incorrectly Classified Instances       168               42      %
Kappa statistic                          0.1954
Mean absolute error                      0.4273
Root mean squared error                  0.5339
Relative absolute error                 85.9067 %
Root relative squared error            107.3207 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.725    0.482    0.392      0.725    0.509      0.224    0.649     0.423     0
                 0.518    0.275    0.815      0.518    0.633      0.224    0.649     0.781     1
Weighted Avg.    0.580    0.337    0.688      0.580    0.596      0.224    0.649     0.673     

=== Confusion Matrix ===

   a   b   <-- classified as
  87  33 |   a = 0
 135 145 |   b = 1
IBk2 : IBk

=== Evaluation result ===

Scheme: IBk2 : IBk
Options: -K 3 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.FilteredDistance -R first-last -F \\\"weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1\\\" -D \\\"weka.core.EuclideanDistance -R first-last\\\"\""
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         246               61.5    %
Incorrectly Classified Instances       154               38.5    %
Kappa statistic                          0.129 
Mean absolute error                      0.3927
Root mean squared error                  0.5049
Relative absolute error                 78.9351 %
Root relative squared error            101.4758 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.450    0.314    0.380      0.450    0.412      0.130    0.632     0.410     0
                 0.686    0.550    0.744      0.686    0.714      0.130    0.632     0.814     1
Weighted Avg.    0.615    0.479    0.635      0.615    0.623      0.130    0.632     0.693     

=== Confusion Matrix ===

   a   b   <-- classified as
  54  66 |   a = 0
  88 192 |   b = 1
SMO2 : SMO

=== Evaluation result ===

Scheme: SMO2 : SMO
Options: -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 3.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         249               62.25   %
Incorrectly Classified Instances       151               37.75   %
Kappa statistic                          0.2216
Mean absolute error                      0.3775
Root mean squared error                  0.6144
Relative absolute error                 75.8885 %
Root relative squared error            123.493  %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.642    0.386    0.416      0.642    0.505      0.235    0.628     0.375     0
                 0.614    0.358    0.800      0.614    0.695      0.235    0.628     0.761     1
Weighted Avg.    0.623    0.367    0.685      0.623    0.638      0.235    0.628     0.645     

=== Confusion Matrix ===

   a   b   <-- classified as
  77  43 |   a = 0
 108 172 |   b = 1
MultilayerPerceptron2 : MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron2 : MultilayerPerceptron
Options: -L 0.8 -M 0.5 -N 500 -V 0 -S 0 -E 20 -H 50 -D
Relation: dataset_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         260               65      %
Incorrectly Classified Instances       140               35      %
Kappa statistic                          0.2424
Mean absolute error                      0.4099
Root mean squared error                  0.4677
Relative absolute error                 82.4061 %
Root relative squared error             93.9958 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.592    0.325    0.438      0.592    0.504      0.249    0.694     0.470     0
                 0.675    0.408    0.794      0.675    0.730      0.249    0.694     0.828     1
Weighted Avg.    0.650    0.383    0.687      0.650    0.662      0.249    0.694     0.721     

=== Confusion Matrix ===

   a   b   <-- classified as
  71  49 |   a = 0
  91 189 |   b = 1
