Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 224484_s_at <= 4.424332: normal (7.0) 224484_s_at > 4.424332: tumoral (10.0) 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: 0.23 seconds === Error on training data === Correctly Classified Instances 17 100 % 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 17 === 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 tumoral 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 10 0 | a = tumoral 0 7 | b = normal Time taken to perform cross-validation: 0.48 seconds === Stratified cross-validation === Correctly Classified Instances 14 82.3529 % Incorrectly Classified Instances 3 17.6471 % Kappa statistic 0.6277 Mean absolute error 0.1765 Root mean squared error 0.4201 Relative absolute error 35.9211 % Root relative squared error 84.3557 % Total Number of Instances 17 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,900 0,286 0,818 0,900 0,857 0,633 0,807 0,795 tumoral 0,714 0,100 0,833 0,714 0,769 0,633 0,807 0,713 normal Weighted Avg. 0,824 0,209 0,824 0,824 0,821 0,633 0,807 0,761 === Confusion Matrix === a b <-- classified as 9 1 | a = tumoral 2 5 | b = normal