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: 2.32 seconds Time taken to test model on training data: 0.36 seconds === Error on training data === Correctly Classified Instances 42 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0648 Root mean squared error 0.0857 Relative absolute error 15.0352 % Root relative squared error 18.5325 % Total Number of Instances 42 === 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 larynx_squamous_cell_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 13 0 | a = normal 0 29 | b = larynx_squamous_cell_carcinoma Time taken to perform cross-validation: 6.97 seconds === Stratified cross-validation === Correctly Classified Instances 41 97.619 % Incorrectly Classified Instances 1 2.381 % Kappa statistic 0.9431 Mean absolute error 0.2164 Root mean squared error 0.2446 Relative absolute error 49.9451 % Root relative squared error 52.7341 % Total Number of Instances 42 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,923 0,000 1,000 0,923 0,960 0,945 1,000 1,000 normal 1,000 0,077 0,967 1,000 0,983 0,945 1,000 1,000 larynx_squamous_cell_carcinoma Weighted Avg. 0,976 0,053 0,977 0,976 0,976 0,945 1,000 1,000 === Confusion Matrix === a b <-- classified as 12 1 | a = normal 0 29 | b = larynx_squamous_cell_carcinoma