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: 2.49 seconds Time taken to test model on training data: 1.13 seconds === Error on training data === Correctly Classified Instances 139 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0212 Root mean squared error 0.0496 Relative absolute error 15.246 % Root relative squared error 19.197 % Total Number of Instances 139 === 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 primary_breast_cancer 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 <-- classified as 129 0 | a = primary_breast_cancer 0 10 | b = normal Time taken to perform cross-validation: 7.73 seconds === Stratified cross-validation === Correctly Classified Instances 138 99.2806 % Incorrectly Classified Instances 1 0.7194 % Kappa statistic 0.9435 Mean absolute error 0.0666 Root mean squared error 0.1316 Relative absolute error 47.146 % Root relative squared error 50.8471 % Total Number of Instances 139 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,100 0,992 1,000 0,996 0,945 1,000 1,000 primary_breast_cancer 0,900 0,000 1,000 0,900 0,947 0,945 1,000 1,000 normal Weighted Avg. 0,993 0,093 0,993 0,993 0,993 0,945 1,000 1,000 === Confusion Matrix === a b <-- classified as 129 0 | a = primary_breast_cancer 1 9 | b = normal