Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 201111_at <= 9.415261: normal (9.0) 201111_at > 9.415261: nasopharyngeal_carcinoma (31.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.48 seconds Time taken to test model on training data: 0.5 seconds === Error on training data === Correctly Classified Instances 40 100 % 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 40 === 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 nasopharyngeal_carcinoma 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 0 31 | b = nasopharyngeal_carcinoma Time taken to perform cross-validation: 1.17 seconds === Stratified cross-validation === Correctly Classified Instances 34 85 % Incorrectly Classified Instances 6 15 % Kappa statistic 0.6013 Mean absolute error 0.15 Root mean squared error 0.3873 Relative absolute error 41.7266 % Root relative squared error 92.6263 % Total Number of Instances 40 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,778 0,129 0,636 0,778 0,700 0,607 0,824 0,545 normal 0,871 0,222 0,931 0,871 0,900 0,607 0,824 0,911 nasopharyngeal_carcinoma Weighted Avg. 0,850 0,201 0,865 0,850 0,855 0,607 0,824 0,829 === Confusion Matrix === a b <-- classified as 7 2 | a = normal 4 27 | b = nasopharyngeal_carcinoma