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

ZeroR predicts class value: primary_prostate_tumor

Time taken to build model: 0.01 seconds

Time taken to test model on training data: 0.34 seconds

=== Error on training data ===

Correctly Classified Instances          62               50      %
Incorrectly Classified Instances        62               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              124     


=== 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     primary_prostate_tumor
                 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
 62  0 |  a = primary_prostate_tumor
 62  0 |  b = normal

Time taken to perform cross-validation: 0.38 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          61               49.1935 %
Incorrectly Classified Instances        63               50.8065 %
Kappa statistic                         -0.0161
Mean absolute error                      0.5001
Root mean squared error                  0.5001
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,661    0,677    0,494      0,661    0,566      -0,017   0,489     0,494     primary_prostate_tumor
                 0,323    0,339    0,488      0,323    0,388      -0,017   0,489     0,494     normal
Weighted Avg.    0,492    0,508    0,491      0,492    0,477      -0,017   0,489     0,494     


=== Confusion Matrix ===

  a  b   <-- classified as
 41 21 |  a = primary_prostate_tumor
 42 20 |  b = normal