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

ZeroR predicts class value: normal

Time taken to build model: 0.01 seconds

Time taken to test model on training data: 0.45 seconds

=== Error on training data ===

Correctly Classified Instances          17               51.5152 %
Incorrectly Classified Instances        16               48.4848 %
Kappa statistic                          0     
Mean absolute error                      0.4996
Root mean squared error                  0.4998
Relative absolute error                100      %
Root relative squared error            100      %
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    1,000    0,515      1,000    0,680      ?        0,500     0,515     normal
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,485     tumoral
Weighted Avg.    0,515    0,515    ?          0,515    ?          ?        0,500     0,500     


=== Confusion Matrix ===

  a  b   <-- classified as
 17  0 |  a = normal
 16  0 |  b = tumoral

Time taken to perform cross-validation: 0.5 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               51.5152 %
Incorrectly Classified Instances        16               48.4848 %
Kappa statistic                          0     
Mean absolute error                      0.5013
Root mean squared error                  0.5018
Relative absolute error                100      %
Root relative squared error            100      %
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    1,000    0,515      1,000    0,680      ?        0,460     0,497     normal
                 0,000    0,000    ?          0,000    ?          ?        0,460     0,466     tumoral
Weighted Avg.    0,515    0,515    ?          0,515    ?          ?        0,460     0,482     


=== Confusion Matrix ===

  a  b   <-- classified as
 17  0 |  a = normal
 16  0 |  b = tumoral