Time taken to test model on training data: 1.93 seconds === Error on training data === Correctly Classified Instances 115 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.25 Root mean squared error 0.3118 Relative absolute error 71.9279 % Root relative squared error 74.8951 % 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 0,000 1,000 1,000 1,000 1,000 1,000 1,000 breast_cancer_mixed 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 breast_cancer_dcis 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 breast_cancer_idc 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 c d <-- classified as 42 0 0 0 | a = breast_cancer_mixed 0 31 0 0 | b = breast_cancer_dcis 0 0 36 0 | c = breast_cancer_idc 0 0 0 6 | d = normal Time taken to perform cross-validation: 5.18 seconds === Stratified cross-validation === Correctly Classified Instances 42 36.5217 % Incorrectly Classified Instances 73 63.4783 % Kappa statistic 0.0693 Mean absolute error 0.3341 Root mean squared error 0.4252 Relative absolute error 95.98 % Root relative squared error 102.1174 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,571 0,356 0,480 0,571 0,522 0,209 0,602 0,421 breast_cancer_mixed 0,161 0,214 0,217 0,161 0,185 -0,059 0,466 0,255 breast_cancer_dcis 0,306 0,342 0,289 0,306 0,297 -0,036 0,500 0,311 breast_cancer_idc 0,333 0,018 0,500 0,333 0,400 0,382 0,806 0,332 normal Weighted Avg. 0,365 0,296 0,351 0,365 0,354 0,069 0,544 0,337 === Confusion Matrix === a b c d <-- classified as 24 6 11 1 | a = breast_cancer_mixed 12 5 13 1 | b = breast_cancer_dcis 13 12 11 0 | c = breast_cancer_idc 1 0 3 2 | d = normal