Options: -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last"" 

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

IB1 instance-based classifier
using 1 nearest neighbour(s) for classification


Time taken to build model: 0.44 seconds

Time taken to test model on training data: 0.56 seconds

=== Error on training data ===

Correctly Classified Instances          53              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0238
Root mean squared error                  0.0253
Relative absolute error                  6.9463 %
Root relative squared error              6.1492 %
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: 0.56 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          42               79.2453 %
Incorrectly Classified Instances        11               20.7547 %
Kappa statistic                          0.5815
Mean absolute error                      0.1624
Root mean squared error                  0.3591
Relative absolute error                 46.9229 %
Root relative squared error             87.1408 %
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    0,023    0,900      0,900    0,900      0,877    0,908     0,849     peritoneum_normal
                 0,857    0,333    0,833      0,857    0,845      0,531    0,727     0,791     advanced_serous_ovarian_cancer
                 0,375    0,089    0,429      0,375    0,400      0,303    0,611     0,258     early_serous_ovarian_cancer
Weighted Avg.    0,792    0,238    0,785      0,792    0,788      0,562    0,744     0,722     


=== Confusion Matrix ===

  a  b  c   <-- classified as
  9  1  0 |  a = peritoneum_normal
  1 30  4 |  b = advanced_serous_ovarian_cancer
  0  5  3 |  c = early_serous_ovarian_cancer