Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ ILMN_1678816 <= 8.26579: adenocarcinoma (27.0/1.0) ILMN_1678816 > 8.26579: normal (25.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.43 seconds Time taken to test model on training data: 0.28 seconds === Error on training data === Correctly Classified Instances 51 98.0769 % Incorrectly Classified Instances 1 1.9231 % Kappa statistic 0.9615 Mean absolute error 0.037 Root mean squared error 0.1361 Relative absolute error 7.4074 % Root relative squared error 27.2166 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,038 0,963 1,000 0,981 0,962 0,981 0,963 adenocarcinoma 0,962 0,000 1,000 0,962 0,980 0,962 0,981 0,981 normal Weighted Avg. 0,981 0,019 0,981 0,981 0,981 0,962 0,981 0,972 === Confusion Matrix === a b <-- classified as 26 0 | a = adenocarcinoma 1 25 | b = normal Time taken to perform cross-validation: 0.58 seconds === Stratified cross-validation === Correctly Classified Instances 42 80.7692 % Incorrectly Classified Instances 10 19.2308 % Kappa statistic 0.6154 Mean absolute error 0.1923 Root mean squared error 0.4385 Relative absolute error 38.4216 % Root relative squared error 87.5939 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,962 0,346 0,735 0,962 0,833 0,647 0,808 0,726 adenocarcinoma 0,654 0,038 0,944 0,654 0,773 0,647 0,808 0,791 normal Weighted Avg. 0,808 0,192 0,840 0,808 0,803 0,647 0,808 0,758 === Confusion Matrix === a b <-- classified as 25 1 | a = adenocarcinoma 9 17 | b = normal