Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ ILMN_2329735 <= 9.664842 | ILMN_1685636 <= 8.128245: HCC (108.0) | ILMN_1685636 > 8.128245 | | ILMN_3241953 <= 9.060889: HCC (4.0) | | ILMN_3241953 > 9.060889: normal (2.0) ILMN_2329735 > 9.664842 | ILMN_3308693 <= 6.566858: normal (48.0) | ILMN_3308693 > 6.566858: HCC (3.0) Number of Leaves : 5 Size of the tree : 9 Time taken to build model: 2.1 seconds Time taken to test model on training data: 2.06 seconds === Error on training data === Correctly Classified Instances 165 100 % 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 165 === 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 HCC 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 115 0 | a = HCC 0 50 | b = normal Time taken to perform cross-validation: 5.16 seconds === Stratified cross-validation === Correctly Classified Instances 156 94.5455 % Incorrectly Classified Instances 9 5.4545 % Kappa statistic 0.8716 Mean absolute error 0.0608 Root mean squared error 0.227 Relative absolute error 14.3337 % Root relative squared error 49.3817 % Total Number of Instances 165 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,957 0,080 0,965 0,957 0,961 0,872 0,944 0,959 HCC 0,920 0,043 0,902 0,920 0,911 0,872 0,944 0,889 normal Weighted Avg. 0,945 0,069 0,946 0,945 0,946 0,872 0,944 0,937 === Confusion Matrix === a b <-- classified as 110 5 | a = HCC 4 46 | b = normal