=== Classifier model (full training set) === ZeroR predicts class value: advanced_serous_ovarian_cancer 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 35 66.0377 % Incorrectly Classified Instances 18 33.9623 % Kappa statistic 0 Mean absolute error 0.3428 Root mean squared error 0.4107 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 53 === 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 0,189 peritoneum_normal 1,000 1,000 0,660 1,000 0,795 ? 0,500 0,660 advanced_serous_ovarian_cancer 0,000 0,000 ? 0,000 ? ? 0,500 0,151 early_serous_ovarian_cancer Weighted Avg. 0,660 0,660 ? 0,660 ? ? 0,500 0,494 === Confusion Matrix === a b c <-- classified as 0 10 0 | a = peritoneum_normal 0 35 0 | b = advanced_serous_ovarian_cancer 0 8 0 | c = early_serous_ovarian_cancer Time taken to perform cross-validation: 0.28 seconds === Stratified cross-validation === Correctly Classified Instances 35 66.0377 % Incorrectly Classified Instances 18 33.9623 % Kappa statistic 0 Mean absolute error 0.346 Root mean squared error 0.4121 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 53 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,459 0,177 peritoneum_normal 1,000 1,000 0,660 1,000 0,795 ? 0,453 0,638 advanced_serous_ovarian_cancer 0,000 0,000 ? 0,000 ? ? 0,458 0,143 early_serous_ovarian_cancer Weighted Avg. 0,660 0,660 ? 0,660 ? ? 0,455 0,476 === Confusion Matrix === a b c <-- classified as 0 10 0 | a = peritoneum_normal 0 35 0 | b = advanced_serous_ovarian_cancer 0 8 0 | c = early_serous_ovarian_cancer