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: 3.91 seconds Time taken to test model on training data: 0.66 seconds === Error on training data === Correctly Classified Instances 51 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0888 Root mean squared error 0.1162 Relative absolute error 21.2281 % Root relative squared error 25.4889 % Total Number of Instances 51 === 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 tumoral 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 36 0 | a = tumoral 0 15 | b = normal Time taken to perform cross-validation: 11.33 seconds === Stratified cross-validation === Correctly Classified Instances 42 82.3529 % Incorrectly Classified Instances 9 17.6471 % Kappa statistic 0.5292 Mean absolute error 0.2945 Root mean squared error 0.3593 Relative absolute error 70.1323 % Root relative squared error 78.8333 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,944 0,467 0,829 0,944 0,883 0,548 0,915 0,970 tumoral 0,533 0,056 0,800 0,533 0,640 0,548 0,915 0,705 normal Weighted Avg. 0,824 0,346 0,821 0,824 0,812 0,548 0,915 0,892 === Confusion Matrix === a b <-- classified as 34 2 | a = tumoral 7 8 | b = normal