Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 6350326 <= 5.945595: normal_ovarian_surface_epithelium (6.0) 6350326 > 5.945595: cc_epithelial_OvaCa_multiple_cultures (9.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.32 seconds Time taken to test model on training data: 0.2 seconds === Error on training data === Correctly Classified Instances 15 100 % 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 15 === 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 normal_ovarian_surface_epithelium 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 0 9 | b = cc_epithelial_OvaCa_multiple_cultures Time taken to perform cross-validation: 0.43 seconds === Stratified cross-validation === Correctly Classified Instances 14 93.3333 % Incorrectly Classified Instances 1 6.6667 % Kappa statistic 0.8649 Mean absolute error 0.0667 Root mean squared error 0.2582 Relative absolute error 13.7931 % Root relative squared error 52.6742 % Total Number of Instances 15 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,111 0,857 1,000 0,923 0,873 0,944 0,857 normal_ovarian_surface_epithelium 0,889 0,000 1,000 0,889 0,941 0,873 0,944 0,956 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 0,933 0,044 0,943 0,933 0,934 0,873 0,944 0,916 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 1 8 | b = cc_epithelial_OvaCa_multiple_cultures