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

ZeroR predicts class value: tumoral

Time taken to build model: 0.01 seconds

Time taken to test model on training data: 0.14 seconds

=== Error on training data ===

Correctly Classified Instances           8               50      %
Incorrectly Classified Instances         8               50      %
Kappa statistic                          0     
Mean absolute error                      0.5   
Root mean squared error                  0.5   
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               16     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    1,000    0,500      1,000    0,667      ?        0,500     0,500     tumoral
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,500     normal
Weighted Avg.    0,500    0,500    ?          0,500    ?          ?        0,500     0,500     


=== Confusion Matrix ===

 a b   <-- classified as
 8 0 | a = tumoral
 8 0 | b = normal

Time taken to perform cross-validation: 0.22 seconds


=== Stratified cross-validation ===

Correctly Classified Instances           7               43.75   %
Incorrectly Classified Instances         9               56.25   %
Kappa statistic                         -0.125 
Mean absolute error                      0.5048
Root mean squared error                  0.5057
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               16     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,625    0,750    0,455      0,625    0,526      -0,135   0,414     0,458     tumoral
                 0,250    0,375    0,400      0,250    0,308      -0,135   0,414     0,458     normal
Weighted Avg.    0,438    0,563    0,427      0,438    0,417      -0,135   0,414     0,458     


=== Confusion Matrix ===

 a b   <-- classified as
 5 3 | a = tumoral
 6 2 | b = normal