Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 227153_at <= 7.237022: normal (32.0) 227153_at > 7.237022: adenoma (31.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.68 seconds Time taken to test model on training data: 0.88 seconds === Error on training data === Correctly Classified Instances 63 100 % 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 63 === 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 adenoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 0 31 | b = adenoma Time taken to perform cross-validation: 1.88 seconds === Stratified cross-validation === Correctly Classified Instances 59 93.6508 % Incorrectly Classified Instances 4 6.3492 % Kappa statistic 0.873 Mean absolute error 0.0635 Root mean squared error 0.252 Relative absolute error 12.6893 % Root relative squared error 50.3416 % Total Number of Instances 63 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,938 0,065 0,938 0,938 0,938 0,873 0,936 0,911 normal 0,935 0,063 0,935 0,935 0,935 0,873 0,936 0,907 adenoma Weighted Avg. 0,937 0,064 0,937 0,937 0,937 0,873 0,936 0,909 === Confusion Matrix === a b <-- classified as 30 2 | a = normal 2 29 | b = adenoma