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: 3.8 seconds

Time taken to test model on training data: 0.44 seconds

=== Error on training data ===

Correctly Classified Instances          33              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0779
Root mean squared error                  0.0887
Relative absolute error                 15.5893 %
Root relative squared error             17.7504 %
Total Number of Instances               33     


=== 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
 17  0 |  a = normal
  0 16 |  b = tumoral

Time taken to perform cross-validation: 10.75 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          32               96.9697 %
Incorrectly Classified Instances         1                3.0303 %
Kappa statistic                          0.9394
Mean absolute error                      0.2106
Root mean squared error                  0.2407
Relative absolute error                 42.0151 %
Root relative squared error             47.9636 %
Total Number of Instances               33     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,941    0,000    1,000      0,941    0,970      0,941    0,996     0,997     normal
                 1,000    0,059    0,941      1,000    0,970      0,941    0,996     0,996     tumoral
Weighted Avg.    0,970    0,029    0,971      0,970    0,970      0,941    0,996     0,997     


=== Confusion Matrix ===

  a  b   <-- classified as
 16  1 |  a = normal
  0 16 |  b = tumoral