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: 3.77 seconds Time taken to test model on training data: 0.53 seconds === Error on training data === Correctly Classified Instances 40 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0775 Root mean squared error 0.1026 Relative absolute error 21.7726 % Root relative squared error 24.55 % Total Number of Instances 40 === 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 nasopharyngeal_carcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal 0 31 | b = nasopharyngeal_carcinoma Time taken to perform cross-validation: 11.21 seconds === Stratified cross-validation === Correctly Classified Instances 37 92.5 % Incorrectly Classified Instances 3 7.5 % Kappa statistic 0.7561 Mean absolute error 0.215 Root mean squared error 0.2694 Relative absolute error 59.8082 % Root relative squared error 64.4358 % Total Number of Instances 40 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,667 0,000 1,000 0,667 0,800 0,780 0,993 0,977 normal 1,000 0,333 0,912 1,000 0,954 0,780 0,993 0,998 nasopharyngeal_carcinoma Weighted Avg. 0,925 0,258 0,932 0,925 0,919 0,780 0,993 0,993 === Confusion Matrix === a b <-- classified as 6 3 | a = normal 0 31 | b = nasopharyngeal_carcinoma