Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_152520 <= 5.21474 | NM_203486 <= 5.928674: low_grade_papillary_urothelial_carcinoma (8.0) | NM_203486 > 5.928674: high_grade_papillary_urothelial_carcinoma (8.0) NM_152520 > 5.21474: normal (8.0) Number of Leaves : 3 Size of the tree : 5 Time taken to build model: 0.34 seconds Time taken to test model on training data: 0.18 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 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 low_grade_papillary_urothelial_carcinoma 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 high_grade_papillary_urothelial_carcinoma 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 8 0 0 | a = normal 0 8 0 | b = low_grade_papillary_urothelial_carcinoma 0 0 8 | c = high_grade_papillary_urothelial_carcinoma Time taken to perform cross-validation: 0.46 seconds === Stratified cross-validation === Correctly Classified Instances 16 66.6667 % Incorrectly Classified Instances 8 33.3333 % Kappa statistic 0.5 Mean absolute error 0.2222 Root mean squared error 0.4714 Relative absolute error 49.6732 % Root relative squared error 99.213 % Total Number of Instances 24 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,875 0,188 0,700 0,875 0,778 0,657 0,844 0,654 normal 0,375 0,063 0,750 0,375 0,500 0,395 0,656 0,490 low_grade_papillary_urothelial_carcinoma 0,750 0,250 0,600 0,750 0,667 0,478 0,750 0,533 high_grade_papillary_urothelial_carcinoma Weighted Avg. 0,667 0,167 0,683 0,667 0,648 0,510 0,750 0,559 === Confusion Matrix === a b c <-- classified as 7 0 1 | a = normal 2 3 3 | b = low_grade_papillary_urothelial_carcinoma 1 1 6 | c = high_grade_papillary_urothelial_carcinoma