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: 3.56 seconds Time taken to test model on training data: 0.16 seconds === Error on training data === Correctly Classified Instances 12 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1608 Root mean squared error 0.1752 Relative absolute error 32.1667 % Root relative squared error 35.0476 % 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral 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 = normal 0 6 | b = tumoral Time taken to perform cross-validation: 10.54 seconds === Stratified cross-validation === Correctly Classified Instances 10 83.3333 % Incorrectly Classified Instances 2 16.6667 % Kappa statistic 0.6667 Mean absolute error 0.4325 Root mean squared error 0.4427 Relative absolute error 86.5 % Root relative squared error 88.5494 % 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 0,762 normal 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,917 tumoral Weighted Avg. 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,839 === Confusion Matrix === a b <-- classified as 5 1 | a = normal 1 5 | b = tumoral