=== Classifier model (full training set) === ZeroR predicts class value: breast_cancer_mixed Time taken to build model: 0.02 seconds Time taken to test model on training data: 1.21 seconds === Error on training data === Correctly Classified Instances 42 36.5217 % Incorrectly Classified Instances 73 63.4783 % Kappa statistic 0 Mean absolute error 0.3476 Root mean squared error 0.4163 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,365 1,000 0,535 ? 0,500 0,365 breast_cancer_mixed 0,000 0,000 ? 0,000 ? ? 0,500 0,270 breast_cancer_dcis 0,000 0,000 ? 0,000 ? ? 0,500 0,313 breast_cancer_idc 0,000 0,000 ? 0,000 ? ? 0,500 0,052 normal Weighted Avg. 0,365 0,365 ? 0,365 ? ? 0,500 0,307 === Confusion Matrix === a b c d <-- classified as 42 0 0 0 | a = breast_cancer_mixed 31 0 0 0 | b = breast_cancer_dcis 36 0 0 0 | c = breast_cancer_idc 6 0 0 0 | d = normal Time taken to perform cross-validation: 1.46 seconds === Stratified cross-validation === Correctly Classified Instances 42 36.5217 % Incorrectly Classified Instances 73 63.4783 % Kappa statistic 0 Mean absolute error 0.348 Root mean squared error 0.4164 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,365 1,000 0,535 ? 0,495 0,363 breast_cancer_mixed 0,000 0,000 ? 0,000 ? ? 0,489 0,265 breast_cancer_dcis 0,000 0,000 ? 0,000 ? ? 0,496 0,311 breast_cancer_idc 0,000 0,000 ? 0,000 ? ? 0,497 0,052 normal Weighted Avg. 0,365 0,365 ? 0,365 ? ? 0,494 0,304 === Confusion Matrix === a b c d <-- classified as 42 0 0 0 | a = breast_cancer_mixed 31 0 0 0 | b = breast_cancer_dcis 36 0 0 0 | c = breast_cancer_idc 6 0 0 0 | d = normal