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: 4.37 seconds Time taken to test model on training data: 1.32 seconds === Error on training data === Correctly Classified Instances 103 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0864 Root mean squared error 0.1109 Relative absolute error 21.2628 % Root relative squared error 24.6589 % Total Number of Instances 103 === 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 oral_cavity_cancer 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 74 0 | a = oral_cavity_cancer 0 29 | b = normal Time taken to perform cross-validation: 13.19 seconds === Stratified cross-validation === Correctly Classified Instances 90 87.3786 % Incorrectly Classified Instances 13 12.6214 % Kappa statistic 0.6555 Mean absolute error 0.244 Root mean squared error 0.3018 Relative absolute error 59.8878 % Root relative squared error 67.0716 % Total Number of Instances 103 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,973 0,379 0,867 0,973 0,917 0,675 0,972 0,991 oral_cavity_cancer 0,621 0,027 0,900 0,621 0,735 0,675 0,972 0,874 normal Weighted Avg. 0,874 0,280 0,877 0,874 0,866 0,675 0,972 0,958 === Confusion Matrix === a b <-- classified as 72 2 | a = oral_cavity_cancer 11 18 | b = normal