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: 3.81 seconds

Time taken to test model on training data: 1.44 seconds

=== Error on training data ===

Correctly Classified Instances         116              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0286
Root mean squared error                  0.0595
Relative absolute error                 12.4526 %
Root relative squared error             17.7322 %
Total Number of Instances              116     


=== 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
  15   0 |   a = normal
   0 101 |   b = tumoral

Time taken to perform cross-validation: 12.11 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         113               97.4138 %
Incorrectly Classified Instances         3                2.5862 %
Kappa statistic                          0.8745
Mean absolute error                      0.0818
Root mean squared error                  0.1517
Relative absolute error                 35.2448 %
Root relative squared error             45.1853 %
Total Number of Instances              116     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,800    0,000    1,000      0,800    0,889      0,881    0,981     0,956     normal
                 1,000    0,200    0,971      1,000    0,985      0,881    0,981     0,997     tumoral
Weighted Avg.    0,974    0,174    0,975      0,974    0,973      0,881    0,981     0,991     


=== Confusion Matrix ===

   a   b   <-- classified as
  12   3 |   a = normal
   0 101 |   b = tumoral