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: 3.02 seconds Time taken to test model on training data: 0.28 seconds === Error on training data === Correctly Classified Instances 26 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0869 Root mean squared error 0.1003 Relative absolute error 21.6712 % Root relative squared error 22.5899 % Total Number of Instances 26 === 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_luminal_A 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 19 0 | a = tumoral_luminal_A 0 7 | b = normal Time taken to perform cross-validation: 8.69 seconds === Stratified cross-validation === Correctly Classified Instances 22 84.6154 % Incorrectly Classified Instances 4 15.3846 % Kappa statistic 0.5229 Mean absolute error 0.2773 Root mean squared error 0.3216 Relative absolute error 68.2221 % Root relative squared error 71.9106 % Total Number of Instances 26 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,571 0,826 1,000 0,905 0,595 0,992 0,997 tumoral_luminal_A 0,429 0,000 1,000 0,429 0,600 0,595 0,992 0,982 normal Weighted Avg. 0,846 0,418 0,873 0,846 0,823 0,595 0,992 0,993 === Confusion Matrix === a b <-- classified as 19 0 | a = tumoral_luminal_A 4 3 | b = normal