Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 2680301 <= 5.599913: tumoral_serous (15.0) 2680301 > 5.599913: normal_ovarian_surface_epithelium (9.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.38 seconds Time taken to test model on training data: 0.26 seconds === Error on training data === Correctly Classified Instances 24 100 % 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 24 === 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 tumoral_serous Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous Time taken to perform cross-validation: 0.73 seconds === Stratified cross-validation === Correctly Classified Instances 22 91.6667 % Incorrectly Classified Instances 2 8.3333 % Kappa statistic 0.814 Mean absolute error 0.0833 Root mean squared error 0.2887 Relative absolute error 17.6471 % Root relative squared error 59.604 % Total Number of Instances 24 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,778 0,000 1,000 0,778 0,875 0,828 0,889 0,861 normal_ovarian_surface_epithelium 1,000 0,222 0,882 1,000 0,938 0,828 0,889 0,882 tumoral_serous Weighted Avg. 0,917 0,139 0,926 0,917 0,914 0,828 0,889 0,874 === Confusion Matrix === a b <-- classified as 7 2 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous