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

ZeroR predicts class value: normal

Time taken to build model: 0.02 seconds

Time taken to test model on training data: 1.44 seconds

=== Error on training data ===

Correctly Classified Instances          58               50.8772 %
Incorrectly Classified Instances        56               49.1228 %
Kappa statistic                          0     
Mean absolute error                      0.4998
Root mean squared error                  0.4999
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances              114     


=== 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     0,491     tumoral
                 1,000    1,000    0,509      1,000    0,674      ?        0,500     0,509     normal
Weighted Avg.    0,509    0,509    ?          0,509    ?          ?        0,500     0,500     


=== Confusion Matrix ===

  a  b   <-- classified as
  0 56 |  a = tumoral
  0 58 |  b = normal

Time taken to perform cross-validation: 1.5 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          56               49.1228 %
Incorrectly Classified Instances        58               50.8772 %
Kappa statistic                         -0.0235
Mean absolute error                      0.5   
Root mean squared error                  0.5001
Relative absolute error                100      %
Root relative squared error            100      %
Total Number of Instances              114     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,321    0,345    0,474      0,321    0,383      -0,025   0,488     0,486     tumoral
                 0,655    0,679    0,500      0,655    0,567      -0,025   0,488     0,503     normal
Weighted Avg.    0,491    0,515    0,487      0,491    0,477      -0,025   0,488     0,494     


=== Confusion Matrix ===

  a  b   <-- classified as
 18 38 |  a = tumoral
 20 38 |  b = normal