Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 204294_at <= 7.756819: AML (61.0/1.0) 204294_at > 7.756819: normal (40.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 1.14 seconds Time taken to test model on training data: 1.23 seconds === Error on training data === Correctly Classified Instances 100 99.0099 % Incorrectly Classified Instances 1 0.9901 % Kappa statistic 0.9794 Mean absolute error 0.0195 Root mean squared error 0.0987 Relative absolute error 4.0355 % Root relative squared error 20.0956 % Total Number of Instances 101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,976 0,000 1,000 0,976 0,988 0,980 0,988 0,986 normal 1,000 0,024 0,984 1,000 0,992 0,980 0,988 0,984 AML Weighted Avg. 0,990 0,014 0,990 0,990 0,990 0,980 0,988 0,984 === Confusion Matrix === a b <-- classified as 40 1 | a = normal 0 60 | b = AML Time taken to perform cross-validation: 2.86 seconds === Stratified cross-validation === Correctly Classified Instances 90 89.1089 % Incorrectly Classified Instances 11 10.8911 % Kappa statistic 0.7768 Mean absolute error 0.1128 Root mean squared error 0.3287 Relative absolute error 23.3552 % Root relative squared error 66.9285 % Total Number of Instances 101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,902 0,117 0,841 0,902 0,871 0,778 0,900 0,808 normal 0,883 0,098 0,930 0,883 0,906 0,778 0,900 0,900 AML Weighted Avg. 0,891 0,105 0,894 0,891 0,892 0,778 0,900 0,863 === Confusion Matrix === a b <-- classified as 37 4 | a = normal 7 53 | b = AML