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: 1.41 seconds Time taken to test model on training data: 0.36 seconds === Error on training data === Correctly Classified Instances 124 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1598 Root mean squared error 0.175 Relative absolute error 31.9516 % Root relative squared error 34.9908 % Total Number of Instances 124 === 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 62 0 | a = primary_prostate_tumor 0 62 | b = normal Time taken to perform cross-validation: 3.5 seconds === Stratified cross-validation === Correctly Classified Instances 86 69.3548 % Incorrectly Classified Instances 38 30.6452 % Kappa statistic 0.3871 Mean absolute error 0.4248 Root mean squared error 0.4518 Relative absolute error 84.9516 % Root relative squared error 90.3436 % Total Number of Instances 124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,645 0,258 0,714 0,645 0,678 0,389 0,751 0,799 primary_prostate_tumor 0,742 0,355 0,676 0,742 0,708 0,389 0,751 0,674 normal Weighted Avg. 0,694 0,306 0,695 0,694 0,693 0,389 0,751 0,736 === Confusion Matrix === a b <-- classified as 40 22 | a = primary_prostate_tumor 16 46 | b = normal