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: 3.68 seconds Time taken to test model on training data: 0.23 seconds === Error on training data === Correctly Classified Instances 18 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0839 Root mean squared error 0.1006 Relative absolute error 16.9663 % Root relative squared error 20.2515 % Total Number of Instances 18 === 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 10 0 | a = normal 0 8 | b = tumoral Time taken to perform cross-validation: 10.47 seconds === Stratified cross-validation === Correctly Classified Instances 16 88.8889 % Incorrectly Classified Instances 2 11.1111 % Kappa statistic 0.7692 Mean absolute error 0.2656 Root mean squared error 0.2847 Relative absolute error 53.1111 % Root relative squared error 56.5532 % Total Number of Instances 18 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,250 0,833 1,000 0,909 0,791 1,000 1,000 normal 0,750 0,000 1,000 0,750 0,857 0,791 1,000 1,000 tumoral Weighted Avg. 0,889 0,139 0,907 0,889 0,886 0,791 1,000 1,000 === Confusion Matrix === a b <-- classified as 10 0 | a = normal 2 6 | b = tumoral