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: 2.4 seconds Time taken to test model on training data: 0.34 seconds === Error on training data === Correctly Classified Instances 43 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0765 Root mean squared error 0.0962 Relative absolute error 17.9891 % Root relative squared error 20.9416 % Total Number of Instances 43 === 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 triple_negative_breast_cancer 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 30 0 | a = triple_negative_breast_cancer 0 13 | b = normal Time taken to perform cross-validation: 6.99 seconds === Stratified cross-validation === Correctly Classified Instances 42 97.6744 % Incorrectly Classified Instances 1 2.3256 % Kappa statistic 0.9436 Mean absolute error 0.2263 Root mean squared error 0.2651 Relative absolute error 52.964 % Root relative squared error 57.6092 % Total Number of Instances 43 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,077 0,968 1,000 0,984 0,945 0,937 0,949 triple_negative_breast_cancer 0,923 0,000 1,000 0,923 0,960 0,945 0,937 0,949 normal Weighted Avg. 0,977 0,054 0,977 0,977 0,976 0,945 0,937 0,949 === Confusion Matrix === a b <-- classified as 30 0 | a = triple_negative_breast_cancer 1 12 | b = normal