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: 1.44 seconds Time taken to test model on training data: 0.37 seconds === Error on training data === Correctly Classified Instances 124 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1595 Root mean squared error 0.1707 Relative absolute error 31.9359 % Root relative squared error 34.1664 % 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 64 0 | a = primary_prostate_tumor 0 60 | b = normal Time taken to perform cross-validation: 3.59 seconds === Stratified cross-validation === Correctly Classified Instances 83 66.9355 % Incorrectly Classified Instances 41 33.0645 % Kappa statistic 0.337 Mean absolute error 0.4486 Root mean squared error 0.4685 Relative absolute error 89.8114 % Root relative squared error 93.7446 % Total Number of Instances 124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,703 0,367 0,672 0,703 0,687 0,337 0,711 0,707 primary_prostate_tumor 0,633 0,297 0,667 0,633 0,650 0,337 0,711 0,654 normal Weighted Avg. 0,669 0,333 0,669 0,669 0,669 0,337 0,711 0,681 === Confusion Matrix === a b <-- classified as 45 19 | a = primary_prostate_tumor 22 38 | b = normal