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: 3.12 seconds Time taken to test model on training data: 0.14 seconds === Error on training data === Correctly Classified Instances 12 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.17 Root mean squared error 0.1825 Relative absolute error 34 % Root relative squared error 36.5057 % Total Number of Instances 12 === 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 6 0 | a = tumoral 0 6 | b = normal Time taken to perform cross-validation: 10.15 seconds === Stratified cross-validation === Correctly Classified Instances 10 83.3333 % Incorrectly Classified Instances 2 16.6667 % Kappa statistic 0.6667 Mean absolute error 0.4383 Root mean squared error 0.445 Relative absolute error 87.6667 % Root relative squared error 88.9981 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,917 tumoral 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,735 normal Weighted Avg. 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,826 === Confusion Matrix === a b <-- classified as 5 1 | a = tumoral 1 5 | b = normal