Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_080878 <= 6.107716: normal (18.0) NM_080878 > 6.107716: primary_nasopharyngeal_carcinoma (17.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.31 seconds Time taken to test model on training data: 0.3 seconds === Error on training data === Correctly Classified Instances 35 100 % 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 35 === 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 primary_nasopharyngeal_carcinoma 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 17 0 | a = primary_nasopharyngeal_carcinoma 0 18 | b = normal Time taken to perform cross-validation: 0.83 seconds === Stratified cross-validation === Correctly Classified Instances 26 74.2857 % Incorrectly Classified Instances 9 25.7143 % Kappa statistic 0.4878 Mean absolute error 0.2571 Root mean squared error 0.5071 Relative absolute error 51.4286 % Root relative squared error 101.3629 % Total Number of Instances 35 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,824 0,333 0,700 0,824 0,757 0,495 0,745 0,662 primary_nasopharyngeal_carcinoma 0,667 0,176 0,800 0,667 0,727 0,495 0,745 0,705 normal Weighted Avg. 0,743 0,253 0,751 0,743 0,742 0,495 0,745 0,684 === Confusion Matrix === a b <-- classified as 14 3 | a = primary_nasopharyngeal_carcinoma 6 12 | b = normal