Options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 

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

RandomForest

Bagging with 100 iterations and base learner

weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities

Time taken to build model: 1.58 seconds

Time taken to test model on training data: 0.24 seconds

=== Error on training data ===

Correctly Classified Instances          53              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0844
Root mean squared error                  0.1178
Relative absolute error                 24.6239 %
Root relative squared error             28.6786 %
Total Number of Instances               53     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     peritoneum_normal
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     advanced_serous_ovarian_cancer
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     early_serous_ovarian_cancer
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b  c   <-- classified as
 10  0  0 |  a = peritoneum_normal
  0 35  0 |  b = advanced_serous_ovarian_cancer
  0  0  8 |  c = early_serous_ovarian_cancer

Time taken to perform cross-validation: 4.25 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          42               79.2453 %
Incorrectly Classified Instances        11               20.7547 %
Kappa statistic                          0.5055
Mean absolute error                      0.237 
Root mean squared error                  0.3169
Relative absolute error                 68.4856 %
Root relative squared error             76.8975 %
Total Number of Instances               53     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,800    0,023    0,889      0,800    0,842      0,809    0,980     0,941     peritoneum_normal
                 0,971    0,556    0,773      0,971    0,861      0,525    0,894     0,943     advanced_serous_ovarian_cancer
                 0,000    0,000    ?          0,000    ?          ?        0,853     0,570     early_serous_ovarian_cancer
Weighted Avg.    0,792    0,371    ?          0,792    ?          ?        0,904     0,886     


=== Confusion Matrix ===

  a  b  c   <-- classified as
  8  2  0 |  a = peritoneum_normal
  1 34  0 |  b = advanced_serous_ovarian_cancer
  0  8  0 |  c = early_serous_ovarian_cancer