Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_003018 <= 17.700998: NSCLC (18.0) NM_003018 > 17.700998: normal (17.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.33 seconds Time taken to test model on training data: 0.26 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 NSCLC 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 = normal 0 18 | b = NSCLC Time taken to perform cross-validation: 0.67 seconds === Stratified cross-validation === Correctly Classified Instances 32 91.4286 % Incorrectly Classified Instances 3 8.5714 % Kappa statistic 0.8293 Mean absolute error 0.0857 Root mean squared error 0.2928 Relative absolute error 17.1429 % Root relative squared error 58.5219 % 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 0,167 0,850 1,000 0,919 0,842 0,917 0,850 normal 0,833 0,000 1,000 0,833 0,909 0,842 0,917 0,919 NSCLC Weighted Avg. 0,914 0,081 0,927 0,914 0,914 0,842 0,917 0,886 === Confusion Matrix === a b <-- classified as 17 0 | a = normal 3 15 | b = NSCLC