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: 3.61 seconds Time taken to test model on training data: 0.93 seconds === Error on training data === Correctly Classified Instances 63 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0311 Root mean squared error 0.0396 Relative absolute error 6.2237 % Root relative squared error 7.9132 % Total Number of Instances 63 === 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 adenoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 0 31 | b = adenoma Time taken to perform cross-validation: 11.47 seconds === Stratified cross-validation === Correctly Classified Instances 63 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1071 Root mean squared error 0.1229 Relative absolute error 21.4131 % Root relative squared error 24.5477 % Total Number of Instances 63 === 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 adenoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 0 31 | b = adenoma