RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 5 -M 1.0 -V 0.001 -S 1
Relation: dataset_position_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast


Correctly Classified Instances         298               67.1171 %
Incorrectly Classified Instances       146               32.8829 %
Kappa statistic                          0.3425
Mean absolute error                      0.3756
Root mean squared error                  0.4762
Relative absolute error                 75.0119 %
Root relative squared error             95.1056 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.692    0.350    0.662      0.692    0.677      0.343    0.726     0.697     0
                 0.650    0.308    0.681      0.650    0.665      0.343    0.726     0.719     1
Weighted Avg.    0.671    0.329    0.672      0.671    0.671      0.343    0.726     0.708     

=== Confusion Matrix ===

   a   b   <-- classified as
 153  68 |   a = 0
  78 145 |   b = 1
NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes
Relation: dataset_position_abu.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         292               65.7658 %
Incorrectly Classified Instances       152               34.2342 %
Kappa statistic                          0.3158
Mean absolute error                      0.4122
Root mean squared error                  0.4823
Relative absolute error                 82.3237 %
Root relative squared error             96.326  %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.733    0.417    0.635      0.733    0.681      0.320    0.691     0.664     0
                 0.583    0.267    0.688      0.583    0.631      0.320    0.691     0.666     1
Weighted Avg.    0.658    0.342    0.662      0.658    0.656      0.320    0.691     0.665     

=== Confusion Matrix ===

   a   b   <-- classified as
 162  59 |   a = 0
  93 130 |   b = 1
Logistic

=== Evaluation result ===

Scheme: Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_position_abu.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         306               68.9189 %
Incorrectly Classified Instances       138               31.0811 %
Kappa statistic                          0.3786
Mean absolute error                      0.4174
Root mean squared error                  0.4639
Relative absolute error                 83.3619 %
Root relative squared error             92.6501 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.738    0.359    0.671      0.738    0.703      0.381    0.721     0.675     0
                 0.641    0.262    0.711      0.641    0.675      0.381    0.721     0.731     1
Weighted Avg.    0.689    0.310    0.691      0.689    0.688      0.381    0.721     0.703     

=== Confusion Matrix ===

   a   b   <-- classified as
 163  58 |   a = 0
  80 143 |   b = 1
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 4 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation: dataset_position_abu.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         273               61.4865 %
Incorrectly Classified Instances       171               38.5135 %
Kappa statistic                          0.2307
Mean absolute error                      0.4104
Root mean squared error                  0.5025
Relative absolute error                 81.9611 %
Root relative squared error            100.3578 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.760    0.529    0.587      0.760    0.663      0.241    0.671     0.643     0
                 0.471    0.240    0.665      0.471    0.551      0.241    0.671     0.664     1
Weighted Avg.    0.615    0.384    0.626      0.615    0.607      0.241    0.671     0.654     

=== Confusion Matrix ===

   a   b   <-- classified as
 168  53 |   a = 0
 118 105 |   b = 1
SMO

=== Evaluation result ===

Scheme: SMO
Options: -C 1.0 -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_abu.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         282               63.5135 %
Incorrectly Classified Instances       162               36.4865 %
Kappa statistic                          0.2709
Mean absolute error                      0.3649
Root mean squared error                  0.604 
Relative absolute error                 72.8749 %
Root relative squared error            120.6444 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.733    0.462    0.611      0.733    0.667      0.276    0.636     0.581     0
                 0.538    0.267    0.670      0.538    0.597      0.276    0.636     0.593     1
Weighted Avg.    0.635    0.364    0.641      0.635    0.632      0.276    0.636     0.587     

=== Confusion Matrix ===

   a   b   <-- classified as
 162  59 |   a = 0
 103 120 |   b = 1
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.8 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H 20 -D
Relation: dataset_position_abu.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         301               67.7928 %
Incorrectly Classified Instances       143               32.2072 %
Kappa statistic                          0.3563
Mean absolute error                      0.4166
Root mean squared error                  0.4668
Relative absolute error                 83.2084 %
Root relative squared error             93.2342 %
Total Number of Instances              444     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.760    0.404    0.651      0.760    0.701      0.361    0.715     0.663     0
                 0.596    0.240    0.715      0.596    0.650      0.361    0.715     0.719     1
Weighted Avg.    0.678    0.321    0.683      0.678    0.676      0.361    0.715     0.692     

=== Confusion Matrix ===

   a   b   <-- classified as
 168  53 |   a = 0
  90 133 |   b = 1
