Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ BM511013 <= 7.311594: primary_breast_cancer (129.0) BM511013 > 7.311594: normal (10.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.77 seconds Time taken to test model on training data: 1.1 seconds === Error on training data === Correctly Classified Instances 139 100 % 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 139 === 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 primary_breast_cancer 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 129 0 | a = primary_breast_cancer 0 10 | b = normal Time taken to perform cross-validation: 2.27 seconds === Stratified cross-validation === Correctly Classified Instances 133 95.6835 % Incorrectly Classified Instances 6 4.3165 % Kappa statistic 0.7271 Mean absolute error 0.0432 Root mean squared error 0.2078 Relative absolute error 30.5482 % Root relative squared error 80.2927 % Total Number of Instances 139 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,961 0,100 0,992 0,961 0,976 0,739 0,931 0,990 primary_breast_cancer 0,900 0,039 0,643 0,900 0,750 0,739 0,931 0,586 normal Weighted Avg. 0,957 0,096 0,967 0,957 0,960 0,739 0,931 0,960 === Confusion Matrix === a b <-- classified as 124 5 | a = primary_breast_cancer 1 9 | b = normal