Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ ILMN_2194577 <= 8.575439: normal (37.0/1.0) ILMN_2194577 > 8.575439: HCC (38.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.97 seconds Time taken to test model on training data: 0.83 seconds === Error on training data === Correctly Classified Instances 74 98.6667 % Incorrectly Classified Instances 1 1.3333 % Kappa statistic 0.9733 Mean absolute error 0.0259 Root mean squared error 0.1139 Relative absolute error 5.1973 % Root relative squared error 22.798 % Total Number of Instances 75 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,974 0,000 1,000 0,974 0,987 0,974 0,987 0,988 HCC 1,000 0,026 0,973 1,000 0,986 0,974 0,987 0,973 normal Weighted Avg. 0,987 0,012 0,987 0,987 0,987 0,974 0,987 0,981 === Confusion Matrix === a b <-- classified as 38 1 | a = HCC 0 36 | b = normal Time taken to perform cross-validation: 1.9 seconds === Stratified cross-validation === Correctly Classified Instances 66 88 % Incorrectly Classified Instances 9 12 % Kappa statistic 0.7609 Mean absolute error 0.1291 Root mean squared error 0.3395 Relative absolute error 25.8531 % Root relative squared error 67.9491 % Total Number of Instances 75 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,821 0,056 0,941 0,821 0,877 0,768 0,888 0,877 HCC 0,944 0,179 0,829 0,944 0,883 0,768 0,888 0,819 normal Weighted Avg. 0,880 0,115 0,887 0,880 0,880 0,768 0,888 0,849 === Confusion Matrix === a b <-- classified as 32 7 | a = HCC 2 34 | b = normal