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


Correctly Classified Instances         310               77.5    %
Incorrectly Classified Instances        90               22.5    %
Kappa statistic                          0.2127
Mean absolute error                      0.2772
Root mean squared error                  0.4197
Relative absolute error                 56.9458 %
Root relative squared error             86.1655 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.877    0.676    0.851      0.877    0.864      0.214    0.640     0.866     0
                 0.324    0.123    0.375      0.324    0.348      0.214    0.640     0.295     1
Weighted Avg.    0.775    0.573    0.763      0.775    0.769      0.214    0.640     0.760     

=== Confusion Matrix ===

   a   b   <-- classified as
 286  40 |   a = 0
  50  24 |   b = 1
Logistic

=== Evaluation result ===

Scheme: Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_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         276               69      %
Incorrectly Classified Instances       124               31      %
Kappa statistic                          0.2234
Mean absolute error                      0.387 
Root mean squared error                  0.4536
Relative absolute error                 79.4482 %
Root relative squared error             93.0499 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.715    0.419    0.883      0.715    0.790      0.242    0.710     0.917     0
                 0.581    0.285    0.316      0.581    0.410      0.242    0.710     0.327     1
Weighted Avg.    0.690    0.394    0.778      0.690    0.719      0.242    0.710     0.808     

=== Confusion Matrix ===

   a   b   <-- classified as
 233  93 |   a = 0
  31  43 |   b = 1
NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes
Relation: dataset_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         233               58.25   %
Incorrectly Classified Instances       167               41.75   %
Kappa statistic                          0.1624
Mean absolute error                      0.412 
Root mean squared error                  0.5469
Relative absolute error                 84.5734 %
Root relative squared error            112.1879 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.552    0.284    0.896      0.552    0.683      0.208    0.664     0.893     0
                 0.716    0.448    0.266      0.716    0.388      0.208    0.664     0.282     1
Weighted Avg.    0.583    0.314    0.779      0.583    0.629      0.208    0.664     0.780     

=== Confusion Matrix ===

   a   b   <-- classified as
 180 146 |   a = 0
  21  53 |   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_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         293               73.25   %
Incorrectly Classified Instances       107               26.75   %
Kappa statistic                          0.1442
Mean absolute error                      0.3289
Root mean squared error                  0.4589
Relative absolute error                 67.5221 %
Root relative squared error             94.1332 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.825    0.676    0.843      0.825    0.834      0.144    0.656     0.907     0
                 0.324    0.175    0.296      0.324    0.310      0.144    0.656     0.283     1
Weighted Avg.    0.733    0.583    0.742      0.733    0.737      0.144    0.656     0.791     

=== Confusion Matrix ===

   a   b   <-- classified as
 269  57 |   a = 0
  50  24 |   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_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         271               67.75   %
Incorrectly Classified Instances       129               32.25   %
Kappa statistic                          0.1889
Mean absolute error                      0.3225
Root mean squared error                  0.5679
Relative absolute error                 66.2037 %
Root relative squared error            116.4946 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.709    0.459    0.872      0.709    0.782      0.205    0.625     0.855     0
                 0.541    0.291    0.296      0.541    0.383      0.205    0.625     0.245     1
Weighted Avg.    0.678    0.428    0.765      0.678    0.708      0.205    0.625     0.742     

=== Confusion Matrix ===

   a   b   <-- classified as
 231  95 |   a = 0
  34  40 |   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_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         265               66.25   %
Incorrectly Classified Instances       135               33.75   %
Kappa statistic                          0.1897
Mean absolute error                      0.3851
Root mean squared error                  0.4588
Relative absolute error                 79.052  %
Root relative squared error             94.1097 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.681    0.419    0.877      0.681    0.767      0.211    0.704     0.916     0
                 0.581    0.319    0.293      0.581    0.389      0.211    0.704     0.305     1
Weighted Avg.    0.662    0.400    0.769      0.662    0.697      0.211    0.704     0.803     

=== Confusion Matrix ===

   a   b   <-- classified as
 222 104 |   a = 0
  31  43 |   b = 1
