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: 3.12 seconds Time taken to test model on training data: 0.87 seconds === Error on training data === Correctly Classified Instances 101 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1453 Root mean squared error 0.1568 Relative absolute error 29.4114 % Root relative squared error 31.5564 % Total Number of Instances 101 === 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 DCIS 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 IBC Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 45 0 | a = DCIS 0 56 | b = IBC Time taken to perform cross-validation: 9.22 seconds === Stratified cross-validation === Correctly Classified Instances 80 79.2079 % Incorrectly Classified Instances 21 20.7921 % Kappa statistic 0.5726 Mean absolute error 0.4021 Root mean squared error 0.4248 Relative absolute error 81.3456 % Root relative squared error 85.4635 % Total Number of Instances 101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,689 0,125 0,816 0,689 0,747 0,579 0,850 0,773 DCIS 0,875 0,311 0,778 0,875 0,824 0,579 0,850 0,877 IBC Weighted Avg. 0,792 0,228 0,795 0,792 0,789 0,579 0,850 0,831 === Confusion Matrix === a b <-- classified as 31 14 | a = DCIS 7 49 | b = IBC