=== Classifier model (full training set) === ZeroR predicts class value: tumoral_non_BLC Time taken to build model: 0.02 seconds Time taken to test model on training data: 0.61 seconds === Error on training data === Correctly Classified Instances 21 46.6667 % Incorrectly Classified Instances 24 53.3333 % Kappa statistic 0 Mean absolute error 0.4123 Root mean squared error 0.453 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,500 0,378 tumoral_basal 1,000 1,000 0,467 1,000 0,636 ? 0,500 0,467 tumoral_non_BLC 0,000 0,000 ? 0,000 ? ? 0,500 0,156 normal_breast Weighted Avg. 0,467 0,467 ? 0,467 ? ? 0,500 0,385 === Confusion Matrix === a b c <-- classified as 0 17 0 | a = tumoral_basal 0 21 0 | b = tumoral_non_BLC 0 7 0 | c = normal_breast Time taken to perform cross-validation: 0.72 seconds === Stratified cross-validation === Correctly Classified Instances 21 46.6667 % Incorrectly Classified Instances 24 53.3333 % Kappa statistic 0 Mean absolute error 0.4139 Root mean squared error 0.4538 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,468 0,365 tumoral_basal 1,000 1,000 0,467 1,000 0,636 ? 0,500 0,467 tumoral_non_BLC 0,000 0,000 ? 0,000 ? ? 0,444 0,143 normal_breast Weighted Avg. 0,467 0,467 ? 0,467 ? ? 0,479 0,378 === Confusion Matrix === a b c <-- classified as 0 17 0 | a = tumoral_basal 0 21 0 | b = tumoral_non_BLC 0 7 0 | c = normal_breast