RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 8 -M 1.0 -V 0.001 -S 1
Relation: dataset_position_bd.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast


Correctly Classified Instances         326               73.4234 %
Incorrectly Classified Instances       118               26.5766 %
Kappa statistic                          0.1338
Mean absolute error                      0.3071
Root mean squared error                  0.4433
Relative absolute error                 61.9526 %
Root relative squared error             89.4194 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.841    0.709    0.831      0.841    0.836      0.134    0.587     0.836     0
                 0.291    0.159    0.305      0.291    0.298      0.134    0.587     0.276     1
Weighted Avg.    0.734    0.603    0.729      0.734    0.732      0.134    0.587     0.727     

=== Confusion Matrix ===

   a   b   <-- classified as
 301  57 |   a = 0
  61  25 |   b = 1
Logistic

=== Evaluation result ===

Scheme: Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_position_bd.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         284               63.964  %
Incorrectly Classified Instances       160               36.036  %
Kappa statistic                          0.1797
Mean absolute error                      0.3784
Root mean squared error                  0.4617
Relative absolute error                 76.2396 %
Root relative squared error             93.0145 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.648    0.395    0.872      0.648    0.744      0.204    0.678     0.892     0
                 0.605    0.352    0.292      0.605    0.394      0.204    0.678     0.323     1
Weighted Avg.    0.640    0.387    0.760      0.640    0.676      0.204    0.678     0.782     

=== Confusion Matrix ===

   a   b   <-- classified as
 232 126 |   a = 0
  34  52 |   b = 1
NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes
Relation: dataset_position_bd.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         250               56.3063 %
Incorrectly Classified Instances       194               43.6937 %
Kappa statistic                          0.1309
Mean absolute error                      0.4283
Root mean squared error                  0.5537
Relative absolute error                 86.2916 %
Root relative squared error            111.5443 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.536    0.326    0.873      0.536    0.664      0.167    0.640     0.871     0
                 0.674    0.464    0.259      0.674    0.374      0.167    0.640     0.286     1
Weighted Avg.    0.563    0.352    0.754      0.563    0.608      0.167    0.640     0.757     

=== Confusion Matrix ===

   a   b   <-- classified as
 192 166 |   a = 0
  28  58 |   b = 1
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 5 -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_bd.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         303               68.2432 %
Incorrectly Classified Instances       141               31.7568 %
Kappa statistic                          0.0696
Mean absolute error                      0.366 
Root mean squared error                  0.4745
Relative absolute error                 73.7388 %
Root relative squared error             95.5902 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.774    0.698    0.822      0.774    0.797      0.070    0.622     0.882     0
                 0.302    0.226    0.243      0.302    0.269      0.070    0.622     0.265     1
Weighted Avg.    0.682    0.606    0.710      0.682    0.695      0.070    0.622     0.762     

=== Confusion Matrix ===

   a   b   <-- classified as
 277  81 |   a = 0
  60  26 |   b = 1
SMO

=== Evaluation result ===

Scheme: SMO
Options: -C 3.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -E 2.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
Relation: dataset_position_bd.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                          0.1553
Mean absolute error                      0.3874
Root mean squared error                  0.6224
Relative absolute error                 78.0447 %
Root relative squared error            125.3794 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.612    0.384    0.869      0.612    0.718      0.182    0.614     0.845     0
                 0.616    0.388    0.276      0.616    0.381      0.182    0.614     0.244     1
Weighted Avg.    0.613    0.385    0.754      0.613    0.653      0.182    0.614     0.728     

=== Confusion Matrix ===

   a   b   <-- classified as
 219 139 |   a = 0
  33  53 |   b = 1
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.6 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H 40 -D
Relation: dataset_position_bd.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         303               68.2432 %
Incorrectly Classified Instances       141               31.7568 %
Kappa statistic                          0.226 
Mean absolute error                      0.368 
Root mean squared error                  0.465 
Relative absolute error                 74.1398 %
Root relative squared error             93.6689 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.704    0.407    0.878      0.704    0.781      0.245    0.683     0.893     0
                 0.593    0.296    0.325      0.593    0.420      0.245    0.683     0.320     1
Weighted Avg.    0.682    0.385    0.771      0.682    0.711      0.245    0.683     0.782     

=== Confusion Matrix ===

   a   b   <-- classified as
 252 106 |   a = 0
  35  51 |   b = 1
