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: 2.24 seconds Time taken to test model on training data: 0.11 seconds === Error on training data === Correctly Classified Instances 12 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1367 Root mean squared error 0.1569 Relative absolute error 27.3333 % Root relative squared error 31.3794 % Total Number of Instances 12 === 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 hepatocellular_carcinoma 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 6 0 | a = hepatocellular_carcinoma 0 6 | b = normal Time taken to perform cross-validation: 6.49 seconds === Stratified cross-validation === Correctly Classified Instances 11 91.6667 % Incorrectly Classified Instances 1 8.3333 % Kappa statistic 0.8333 Mean absolute error 0.3017 Root mean squared error 0.3215 Relative absolute error 60.3333 % Root relative squared error 64.3014 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,000 1,000 0,833 0,909 0,845 1,000 1,000 hepatocellular_carcinoma 1,000 0,167 0,857 1,000 0,923 0,845 1,000 1,000 normal Weighted Avg. 0,917 0,083 0,929 0,917 0,916 0,845 1,000 1,000 === Confusion Matrix === a b <-- classified as 5 1 | a = hepatocellular_carcinoma 0 6 | b = normal