=== Classifier model (full training set) === ZeroR predicts class value: triple_negative_breast_cancer Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.39 seconds === Error on training data === Correctly Classified Instances 30 69.7674 % Incorrectly Classified Instances 13 30.2326 % Kappa statistic 0 Mean absolute error 0.4253 Root mean squared error 0.4593 Relative absolute error 100 % Root relative squared error 100 % 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 1,000 0,698 1,000 0,822 ? 0,500 0,698 triple_negative_breast_cancer 0,000 0,000 ? 0,000 ? ? 0,500 0,302 normal Weighted Avg. 0,698 0,698 ? 0,698 ? ? 0,500 0,578 === Confusion Matrix === a b <-- classified as 30 0 | a = triple_negative_breast_cancer 13 0 | b = normal Time taken to perform cross-validation: 0.45 seconds === Stratified cross-validation === Correctly Classified Instances 30 69.7674 % Incorrectly Classified Instances 13 30.2326 % Kappa statistic 0 Mean absolute error 0.4272 Root mean squared error 0.4601 Relative absolute error 100 % Root relative squared error 100 % 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 1,000 0,698 1,000 0,822 ? 0,474 0,687 triple_negative_breast_cancer 0,000 0,000 ? 0,000 ? ? 0,474 0,292 normal Weighted Avg. 0,698 0,698 ? 0,698 ? ? 0,474 0,568 === Confusion Matrix === a b <-- classified as 30 0 | a = triple_negative_breast_cancer 13 0 | b = normal