Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 208394_x_at <= 4.272292: normal (17.0) 208394_x_at > 4.272292: tumoral (16.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.5 seconds Time taken to test model on training data: 0.44 seconds === Error on training data === Correctly Classified Instances 33 100 % 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 33 === 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 tumoral 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 16 | b = tumoral Time taken to perform cross-validation: 1 seconds === Stratified cross-validation === Correctly Classified Instances 27 81.8182 % Incorrectly Classified Instances 6 18.1818 % Kappa statistic 0.636 Mean absolute error 0.1818 Root mean squared error 0.4264 Relative absolute error 36.272 % Root relative squared error 84.968 % Total Number of Instances 33 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,824 0,188 0,824 0,824 0,824 0,636 0,818 0,769 normal 0,813 0,176 0,813 0,813 0,813 0,636 0,818 0,751 tumoral Weighted Avg. 0,818 0,182 0,818 0,818 0,818 0,636 0,818 0,760 === Confusion Matrix === a b <-- classified as 14 3 | a = normal 3 13 | b = tumoral