Options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 

=== Classifier model (full training set) ===

RandomForest

Bagging with 100 iterations and base learner

weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities

Time taken to build model: 1.59 seconds

Time taken to test model on training data: 0.11 seconds

=== Error on training data ===

Correctly Classified Instances          20              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.096 
Root mean squared error                  0.1276
Relative absolute error                 19.2    %
Root relative squared error             25.5186 %
Total Number of Instances               20     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     normal
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     RCC
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b   <-- classified as
 10  0 |  a = normal
  0 10 |  b = RCC

Time taken to perform cross-validation: 4.43 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               85      %
Incorrectly Classified Instances         3               15      %
Kappa statistic                          0.7   
Mean absolute error                      0.303 
Root mean squared error                  0.3571
Relative absolute error                 60.1987 %
Root relative squared error             70.837  %
Total Number of Instances               20     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,900    0,200    0,818      0,900    0,857      0,704    0,890     0,883     normal
                 0,800    0,100    0,889      0,800    0,842      0,704    0,890     0,911     RCC
Weighted Avg.    0,850    0,150    0,854      0,850    0,850      0,704    0,890     0,897     


=== Confusion Matrix ===

 a b   <-- classified as
 9 1 | a = normal
 2 8 | b = RCC