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: 4.38 seconds Time taken to test model on training data: 1.8 seconds === Error on training data === Correctly Classified Instances 147 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0314 Root mean squared error 0.0571 Relative absolute error 10.2387 % Root relative squared error 14.6637 % Total Number of Instances 147 === 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_LCM 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_homogenized 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_homogenized Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 0 25 0 | b = normal_homogenized 0 0 18 | c = tumoral_homogenized Time taken to perform cross-validation: 13.66 seconds === Stratified cross-validation === Correctly Classified Instances 138 93.8776 % Incorrectly Classified Instances 9 6.1224 % Kappa statistic 0.8544 Mean absolute error 0.1055 Root mean squared error 0.173 Relative absolute error 34.2558 % Root relative squared error 44.3673 % Total Number of Instances 147 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,209 0,920 1,000 0,959 0,853 0,999 1,000 tumoral_LCM 0,920 0,000 1,000 0,920 0,958 0,951 0,999 0,994 normal_homogenized 0,611 0,000 1,000 0,611 0,759 0,761 0,999 0,990 tumoral_homogenized Weighted Avg. 0,939 0,148 0,944 0,939 0,934 0,859 0,999 0,998 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 2 23 0 | b = normal_homogenized 7 0 11 | c = tumoral_homogenized