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: 3.83 seconds Time taken to test model on training data: 0.68 seconds === Error on training data === Correctly Classified Instances 49 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0869 Root mean squared error 0.1026 Relative absolute error 21.1137 % Root relative squared error 22.7073 % Total Number of Instances 49 === 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 35 0 | a = tumoral 0 14 | b = normal Time taken to perform cross-validation: 11.31 seconds === Stratified cross-validation === Correctly Classified Instances 45 91.8367 % Incorrectly Classified Instances 4 8.1633 % Kappa statistic 0.7813 Mean absolute error 0.2502 Root mean squared error 0.2956 Relative absolute error 60.4316 % Root relative squared error 65.2903 % Total Number of Instances 49 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,286 0,897 1,000 0,946 0,801 0,977 0,990 tumoral 0,714 0,000 1,000 0,714 0,833 0,801 0,977 0,956 normal Weighted Avg. 0,918 0,204 0,927 0,918 0,914 0,801 0,977 0,980 === Confusion Matrix === a b <-- classified as 35 0 | a = tumoral 4 10 | b = normal