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: 1.79 seconds Time taken to test model on training data: 0.27 seconds === Error on training data === Correctly Classified Instances 48 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1271 Root mean squared error 0.1383 Relative absolute error 25.4167 % Root relative squared error 27.6677 % Total Number of Instances 48 === 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 heptocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 0 24 | b = heptocarcinoma Time taken to perform cross-validation: 4.79 seconds === Stratified cross-validation === Correctly Classified Instances 40 83.3333 % Incorrectly Classified Instances 8 16.6667 % Kappa statistic 0.6667 Mean absolute error 0.3733 Root mean squared error 0.3921 Relative absolute error 74.6667 % Root relative squared error 78.4156 % Total Number of Instances 48 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,875 0,208 0,808 0,875 0,840 0,669 0,924 0,901 normal 0,792 0,125 0,864 0,792 0,826 0,669 0,924 0,935 heptocarcinoma Weighted Avg. 0,833 0,167 0,836 0,833 0,833 0,669 0,924 0,918 === Confusion Matrix === a b <-- classified as 21 3 | a = normal 5 19 | b = heptocarcinoma