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_position_pbu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast


Correctly Classified Instances         270               60.8108 %
Incorrectly Classified Instances       174               39.1892 %
Kappa statistic                          0.0817
Mean absolute error                      0.4001
Root mean squared error                  0.5189
Relative absolute error                 80.2375 %
Root relative squared error            104.0455 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.370    0.288    0.360      0.370    0.365      0.082    0.597     0.389     0
                 0.712    0.630    0.721      0.712    0.717      0.082    0.597     0.768     1
Weighted Avg.    0.608    0.526    0.611      0.608    0.610      0.082    0.597     0.653     

=== Confusion Matrix ===

   a   b   <-- classified as
  50  85 |   a = 0
  89 220 |   b = 1
NaiveBayes2 : NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes2 : NaiveBayes
Relation: dataset_position_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         280               63.0631 %
Incorrectly Classified Instances       164               36.9369 %
Kappa statistic                          0.2439
Mean absolute error                      0.4061
Root mean squared error                  0.5137
Relative absolute error                 81.4389 %
Root relative squared error            103.0072 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.667    0.385    0.431      0.667    0.523      0.259    0.651     0.437     0
                 0.615    0.333    0.809      0.615    0.699      0.259    0.651     0.784     1
Weighted Avg.    0.631    0.349    0.694      0.631    0.645      0.259    0.651     0.679     

=== Confusion Matrix ===

   a   b   <-- classified as
  90  45 |   a = 0
 119 190 |   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_position_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               60.1351 %
Incorrectly Classified Instances       177               39.8649 %
Kappa statistic                          0.1047
Mean absolute error                      0.4168
Root mean squared error                  0.5268
Relative absolute error                 83.5852 %
Root relative squared error            105.6422 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.437    0.327    0.369      0.437    0.400      0.106    0.581     0.385     0
                 0.673    0.563    0.732      0.673    0.702      0.106    0.581     0.771     1
Weighted Avg.    0.601    0.491    0.622      0.601    0.610      0.106    0.581     0.654     

=== Confusion Matrix ===

   a   b   <-- classified as
  59  76 |   a = 0
 101 208 |   b = 1
Logistic2 : Logistic

=== Evaluation result ===

Scheme: Logistic2 : Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_position_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         290               65.3153 %
Incorrectly Classified Instances       154               34.6847 %
Kappa statistic                          0.2578
Mean absolute error                      0.4216
Root mean squared error                  0.4681
Relative absolute error                 84.5473 %
Root relative squared error             93.8589 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.615    0.330    0.449      0.615    0.519      0.266    0.696     0.512     0
                 0.670    0.385    0.799      0.670    0.729      0.266    0.696     0.817     1
Weighted Avg.    0.653    0.368    0.693      0.653    0.665      0.266    0.696     0.724     

=== Confusion Matrix ===

   a   b   <-- classified as
  83  52 |   a = 0
 102 207 |   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_position_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         272               61.2613 %
Incorrectly Classified Instances       172               38.7387 %
Kappa statistic                          0.1584
Mean absolute error                      0.3874
Root mean squared error                  0.6224
Relative absolute error                 77.6845 %
Root relative squared error            124.8075 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.519    0.346    0.395      0.519    0.449      0.162    0.586     0.351     0
                 0.654    0.481    0.757      0.654    0.701      0.162    0.586     0.736     1
Weighted Avg.    0.613    0.440    0.647      0.613    0.625      0.162    0.586     0.619     

=== Confusion Matrix ===

   a   b   <-- classified as
  70  65 |   a = 0
 107 202 |   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_position_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         297               66.8919 %
Incorrectly Classified Instances       147               33.1081 %
Kappa statistic                          0.2623
Mean absolute error                      0.4122
Root mean squared error                  0.4739
Relative absolute error                 82.651  %
Root relative squared error             95.0267 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.563    0.285    0.463      0.563    0.508      0.265    0.669     0.492     0
                 0.715    0.437    0.789      0.715    0.750      0.265    0.669     0.821     1
Weighted Avg.    0.669    0.391    0.690      0.669    0.677      0.265    0.669     0.721     

=== Confusion Matrix ===

   a   b   <-- classified as
  76  59 |   a = 0
  88 221 |   b = 1
