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

ZeroR predicts class value: tumoral

Time taken to build model: 0.02 seconds

Time taken to test model on training data: 0.66 seconds

=== Error on training data ===

Correctly Classified Instances          36               70.5882 %
Incorrectly Classified Instances        15               29.4118 %
Kappa statistic                          0     
Mean absolute error                      0.4184
Root mean squared error                  0.4557
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               51     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    1,000    0,706      1,000    0,828      ?        0,500     0,706     tumoral
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,294     normal
Weighted Avg.    0,706    0,706    ?          0,706    ?          ?        0,500     0,585     


=== Confusion Matrix ===

  a  b   <-- classified as
 36  0 |  a = tumoral
 15  0 |  b = normal

Time taken to perform cross-validation: 0.7 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          36               70.5882 %
Incorrectly Classified Instances        15               29.4118 %
Kappa statistic                          0     
Mean absolute error                      0.4199
Root mean squared error                  0.4558
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               51     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    1,000    0,706      1,000    0,828      ?        0,500     0,706     tumoral
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,294     normal
Weighted Avg.    0,706    0,706    ?          0,706    ?          ?        0,500     0,585     


=== Confusion Matrix ===

  a  b   <-- classified as
 36  0 |  a = tumoral
 15  0 |  b = normal