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: 3.7 seconds

Time taken to test model on training data: 0.32 seconds

=== Error on training data ===

Correctly Classified Instances          24              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.1342
Root mean squared error                  0.1473
Relative absolute error                 26.8333 %
Root relative squared error             29.4675 %
Total Number of Instances               24     


=== 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     tumoral
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b   <-- classified as
 12  0 |  a = normal
  0 12 |  b = tumoral

Time taken to perform cross-validation: 10.3 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          16               66.6667 %
Incorrectly Classified Instances         8               33.3333 %
Kappa statistic                          0.3333
Mean absolute error                      0.4212
Root mean squared error                  0.4622
Relative absolute error                 84.25   %
Root relative squared error             92.4365 %
Total Number of Instances               24     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,667    0,333    0,667      0,667    0,667      0,333    0,701     0,782     normal
                 0,667    0,333    0,667      0,667    0,667      0,333    0,701     0,619     tumoral
Weighted Avg.    0,667    0,333    0,667      0,667    0,667      0,333    0,701     0,701     


=== Confusion Matrix ===

 a b   <-- classified as
 8 4 | a = normal
 4 8 | b = tumoral