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: 2.48 seconds Time taken to test model on training data: 0.27 seconds === Error on training data === Correctly Classified Instances 31 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1758 Root mean squared error 0.1857 Relative absolute error 35.1957 % Root relative squared error 37.1537 % Total Number of Instances 31 === 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 Grade_3_reactive_stroma_prostate_cancer 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 16 0 | a = Grade_3_reactive_stroma_prostate_cancer 0 15 | b = normal Time taken to perform cross-validation: 7.02 seconds === Stratified cross-validation === Correctly Classified Instances 11 35.4839 % Incorrectly Classified Instances 20 64.5161 % Kappa statistic -0.2971 Mean absolute error 0.5087 Root mean squared error 0.5247 Relative absolute error 101.7419 % Root relative squared error 104.8803 % Total Number of Instances 31 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,438 0,733 0,389 0,438 0,412 -0,300 0,419 0,545 Grade_3_reactive_stroma_prostate_cancer 0,267 0,563 0,308 0,267 0,286 -0,300 0,419 0,490 normal Weighted Avg. 0,355 0,651 0,350 0,355 0,351 -0,300 0,419 0,519 === Confusion Matrix === a b <-- classified as 7 9 | a = Grade_3_reactive_stroma_prostate_cancer 11 4 | b = normal