Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ A_32_P122595 <= 4.891673: normal (21.0) A_32_P122595 > 4.891673: ATL (50.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.47 seconds Time taken to test model on training data: 0.56 seconds === Error on training data === Correctly Classified Instances 71 100 % 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 71 === 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 ATL 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 50 0 | a = ATL 0 21 | b = normal Time taken to perform cross-validation: 1.19 seconds === Stratified cross-validation === Correctly Classified Instances 66 92.9577 % Incorrectly Classified Instances 5 7.0423 % Kappa statistic 0.8286 Mean absolute error 0.0704 Root mean squared error 0.2654 Relative absolute error 16.7659 % Root relative squared error 58.1303 % Total Number of Instances 71 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,960 0,143 0,941 0,960 0,950 0,829 0,909 0,932 ATL 0,857 0,040 0,900 0,857 0,878 0,829 0,909 0,814 normal Weighted Avg. 0,930 0,112 0,929 0,930 0,929 0,829 0,909 0,897 === Confusion Matrix === a b <-- classified as 48 2 | a = ATL 3 18 | b = normal