Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 213007_at <= 4.768901: normal (15.0) 213007_at > 4.768901: tumoral (101.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 1.03 seconds Time taken to test model on training data: 1.5 seconds === Error on training data === Correctly Classified Instances 116 100 % 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 116 === 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 15 0 | a = normal 0 101 | b = tumoral Time taken to perform cross-validation: 3.1 seconds === Stratified cross-validation === Correctly Classified Instances 109 93.9655 % Incorrectly Classified Instances 7 6.0345 % Kappa statistic 0.753 Mean absolute error 0.0603 Root mean squared error 0.2457 Relative absolute error 25.9972 % Root relative squared error 73.1807 % Total Number of Instances 116 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,867 0,050 0,722 0,867 0,788 0,757 0,909 0,643 normal 0,950 0,133 0,980 0,950 0,965 0,757 0,909 0,974 tumoral Weighted Avg. 0,940 0,122 0,946 0,940 0,942 0,757 0,909 0,931 === Confusion Matrix === a b <-- classified as 13 2 | a = normal 5 96 | b = tumoral