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: 5.62 seconds Time taken to test model on training data: 1.68 seconds === Error on training data === Correctly Classified Instances 115 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1253 Root mean squared error 0.1579 Relative absolute error 36.064 % Root relative squared error 37.9169 % 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: 14.82 seconds === Stratified cross-validation === Correctly Classified Instances 41 35.6522 % Incorrectly Classified Instances 74 64.3478 % Kappa statistic 0.0427 Mean absolute error 0.3408 Root mean squared error 0.4177 Relative absolute error 97.9246 % Root relative squared error 100.3152 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,643 0,384 0,491 0,643 0,557 0,250 0,640 0,449 breast_cancer_mixed 0,194 0,250 0,222 0,194 0,207 -0,059 0,442 0,256 breast_cancer_dcis 0,222 0,316 0,242 0,222 0,232 -0,097 0,499 0,333 breast_cancer_idc 0,000 0,000 ? 0,000 ? ? 0,936 0,422 normal Weighted Avg. 0,357 0,307 ? 0,357 ? ? 0,558 0,359 === Confusion Matrix === a b c d <-- classified as 27 5 10 0 | a = breast_cancer_mixed 14 6 11 0 | b = breast_cancer_dcis 14 14 8 0 | c = breast_cancer_idc 0 2 4 0 | d = normal