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: 2.77 seconds Time taken to test model on training data: 0.67 seconds === Error on training data === Correctly Classified Instances 76 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0622 Root mean squared error 0.0909 Relative absolute error 22.8871 % Root relative squared error 24.9119 % Total Number of Instances 76 === 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 HCC 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 64 0 | a = HCC 0 12 | b = normal Time taken to perform cross-validation: 8.21 seconds === Stratified cross-validation === Correctly Classified Instances 66 86.8421 % Incorrectly Classified Instances 10 13.1579 % Kappa statistic 0.252 Mean absolute error 0.1832 Root mean squared error 0.275 Relative absolute error 66.638 % Root relative squared error 75.3604 % Total Number of Instances 76 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,833 0,865 1,000 0,928 0,380 0,997 0,999 HCC 0,167 0,000 1,000 0,167 0,286 0,380 0,997 0,976 normal Weighted Avg. 0,868 0,702 0,886 0,868 0,826 0,380 0,997 0,995 === Confusion Matrix === a b <-- classified as 64 0 | a = HCC 10 2 | b = normal