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: 4.24 seconds Time taken to test model on training data: 1.52 seconds === Error on training data === Correctly Classified Instances 114 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0747 Root mean squared error 0.0941 Relative absolute error 14.9519 % Root relative squared error 18.8187 % Total Number of Instances 114 === 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 56 0 | a = tumoral 0 58 | b = normal Time taken to perform cross-validation: 13.04 seconds === Stratified cross-validation === Correctly Classified Instances 105 92.1053 % Incorrectly Classified Instances 9 7.8947 % Kappa statistic 0.8421 Mean absolute error 0.2258 Root mean squared error 0.2763 Relative absolute error 45.1579 % Root relative squared error 55.2487 % Total Number of Instances 114 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,929 0,086 0,912 0,929 0,920 0,842 0,972 0,972 tumoral 0,914 0,071 0,930 0,914 0,922 0,842 0,972 0,970 normal Weighted Avg. 0,921 0,079 0,921 0,921 0,921 0,842 0,972 0,971 === Confusion Matrix === a b <-- classified as 52 4 | a = tumoral 5 53 | b = normal