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

ZeroR predicts class value: tumoral_serous

Time taken to build model: 0.01 seconds

Time taken to test model on training data: 0.26 seconds

=== Error on training data ===

Correctly Classified Instances          15               62.5    %
Incorrectly Classified Instances         9               37.5    %
Kappa statistic                          0     
Mean absolute error                      0.4712
Root mean squared error                  0.4842
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               24     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,375     normal_ovarian_surface_epithelium
                 1,000    1,000    0,625      1,000    0,769      ?        0,500     0,625     tumoral_serous
Weighted Avg.    0,625    0,625    ?          0,625    ?          ?        0,500     0,531     


=== Confusion Matrix ===

  a  b   <-- classified as
  0  9 |  a = normal_ovarian_surface_epithelium
  0 15 |  b = tumoral_serous

Time taken to perform cross-validation: 0.34 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          15               62.5    %
Incorrectly Classified Instances         9               37.5    %
Kappa statistic                          0     
Mean absolute error                      0.4722
Root mean squared error                  0.4843
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances               24     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,000    0,000    ?          0,000    ?          ?        0,500     0,375     normal_ovarian_surface_epithelium
                 1,000    1,000    0,625      1,000    0,769      ?        0,500     0,625     tumoral_serous
Weighted Avg.    0,625    0,625    ?          0,625    ?          ?        0,500     0,531     


=== Confusion Matrix ===

  a  b   <-- classified as
  0  9 |  a = normal_ovarian_surface_epithelium
  0 15 |  b = tumoral_serous