Options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 === Classifier model (full training set) === RandomForest Bagging with 100 iterations and base learner weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities Time taken to build model: 1.43 seconds Time taken to test model on training data: 0.34 seconds === Error on training data === Correctly Classified Instances 115 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1657 Root mean squared error 0.1766 Relative absolute error 33.1526 % Root relative squared error 35.3405 % Total Number of Instances 115 === 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 primary_prostate_tumor 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 59 0 | a = primary_prostate_tumor 0 56 | b = normal Time taken to perform cross-validation: 3.42 seconds === Stratified cross-validation === Correctly Classified Instances 76 66.087 % Incorrectly Classified Instances 39 33.913 % Kappa statistic 0.3204 Mean absolute error 0.4602 Root mean squared error 0.4714 Relative absolute error 92.0756 % Root relative squared error 94.2895 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,695 0,375 0,661 0,695 0,678 0,321 0,704 0,724 primary_prostate_tumor 0,625 0,305 0,660 0,625 0,642 0,321 0,704 0,668 normal Weighted Avg. 0,661 0,341 0,661 0,661 0,660 0,321 0,704 0,696 === Confusion Matrix === a b <-- classified as 41 18 | a = primary_prostate_tumor 21 35 | b = normal