Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_001862 <= 12.088333: peritoneum_normal (10.0) NM_001862 > 12.088333 | NM_006475 <= 4.644941: early_serous_ovarian_cancer (6.0) | NM_006475 > 4.644941 | | NM_000971 <= 15.988316: advanced_serous_ovarian_cancer (35.0) | | NM_000971 > 15.988316: early_serous_ovarian_cancer (2.0) Number of Leaves : 4 Size of the tree : 7 Time taken to build model: 0.52 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 Root mean squared error 0 Relative absolute error 0 % Root relative squared error 0 % 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: 0.64 seconds === Stratified cross-validation === Correctly Classified Instances 33 62.2642 % Incorrectly Classified Instances 20 37.7358 % Kappa statistic 0.2217 Mean absolute error 0.2516 Root mean squared error 0.5016 Relative absolute error 72.7023 % Root relative squared error 121.7234 % Total Number of Instances 53 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,700 0,116 0,583 0,700 0,636 0,546 0,792 0,465 peritoneum_normal 0,743 0,611 0,703 0,743 0,722 0,136 0,566 0,692 advanced_serous_ovarian_cancer 0,000 0,089 0,000 0,000 0,000 -0,120 0,456 0,151 early_serous_ovarian_cancer Weighted Avg. 0,623 0,439 0,574 0,623 0,597 0,175 0,592 0,567 === Confusion Matrix === a b c <-- classified as 7 3 0 | a = peritoneum_normal 5 26 4 | b = advanced_serous_ovarian_cancer 0 8 0 | c = early_serous_ovarian_cancer