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: 2.48 seconds Time taken to test model on training data: 0.18 seconds === Error on training data === Correctly Classified Instances 16 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1062 Root mean squared error 0.1204 Relative absolute error 21.25 % Root relative squared error 24.0832 % Total Number of Instances 16 === 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 8 0 | a = tumoral 0 8 | b = normal Time taken to perform cross-validation: 7.14 seconds === Stratified cross-validation === Correctly Classified Instances 15 93.75 % Incorrectly Classified Instances 1 6.25 % Kappa statistic 0.875 Mean absolute error 0.3425 Root mean squared error 0.3572 Relative absolute error 67.8476 % Root relative squared error 70.6371 % Total Number of Instances 16 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,875 0,000 1,000 0,875 0,933 0,882 1,000 1,000 tumoral 1,000 0,125 0,889 1,000 0,941 0,882 1,000 1,000 normal Weighted Avg. 0,938 0,063 0,944 0,938 0,937 0,882 1,000 1,000 === Confusion Matrix === a b <-- classified as 7 1 | a = tumoral 0 8 | b = normal