Time taken to test model on training data: 0.29 seconds

=== Error on training data ===

Correctly Classified Instances          53              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.2222
Root mean squared error                  0.2722
Relative absolute error                 64.8318 %
Root relative squared error             66.2715 %
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: 0.63 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          45               84.9057 %
Incorrectly Classified Instances         8               15.0943 %
Kappa statistic                          0.6763
Mean absolute error                      0.26  
Root mean squared error                  0.3344
Relative absolute error                 75.1257 %
Root relative squared error             81.149  %
Total Number of Instances               53     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,900    0,047    0,818      0,900    0,857      0,823    0,923     0,755     peritoneum_normal
                 0,943    0,333    0,846      0,943    0,892      0,655    0,805     0,836     advanced_serous_ovarian_cancer
                 0,375    0,000    1,000      0,375    0,545      0,581    0,785     0,503     early_serous_ovarian_cancer
Weighted Avg.    0,849    0,229    0,864      0,849    0,833      0,675    0,824     0,770     


=== Confusion Matrix ===

  a  b  c   <-- classified as
  9  1  0 |  a = peritoneum_normal
  2 33  0 |  b = advanced_serous_ovarian_cancer
  0  5  3 |  c = early_serous_ovarian_cancer