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: 2.31 seconds Time taken to test model on training data: 0.31 seconds === Error on training data === Correctly Classified Instances 35 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0706 Root mean squared error 0.0878 Relative absolute error 14.1252 % Root relative squared error 17.5766 % Total Number of Instances 35 === 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_nasopharyngeal_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 17 0 | a = primary_nasopharyngeal_carcinoma 0 18 | b = normal Time taken to perform cross-validation: 6.76 seconds === Stratified cross-validation === Correctly Classified Instances 34 97.1429 % Incorrectly Classified Instances 1 2.8571 % Kappa statistic 0.9429 Mean absolute error 0.2386 Root mean squared error 0.2622 Relative absolute error 47.7143 % Root relative squared error 52.4057 % Total Number of Instances 35 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,056 0,944 1,000 0,971 0,944 1,000 1,000 primary_nasopharyngeal_carcinoma 0,944 0,000 1,000 0,944 0,971 0,944 1,000 1,000 normal Weighted Avg. 0,971 0,027 0,973 0,971 0,971 0,944 1,000 1,000 === Confusion Matrix === a b <-- classified as 17 0 | a = primary_nasopharyngeal_carcinoma 1 17 | b = normal