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: 1.89 seconds Time taken to test model on training data: 0.31 seconds === Error on training data === Correctly Classified Instances 52 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.07 Root mean squared error 0.0894 Relative absolute error 14 % Root relative squared error 17.8799 % Total Number of Instances 52 === 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 adenocarcinoma 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 26 0 | a = adenocarcinoma 0 26 | b = normal Time taken to perform cross-validation: 5.25 seconds === Stratified cross-validation === Correctly Classified Instances 50 96.1538 % Incorrectly Classified Instances 2 3.8462 % Kappa statistic 0.9231 Mean absolute error 0.2562 Root mean squared error 0.2911 Relative absolute error 51.1776 % Root relative squared error 58.1415 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,962 0,038 0,962 0,962 0,962 0,923 0,960 0,910 adenocarcinoma 0,962 0,038 0,962 0,962 0,962 0,923 0,960 0,978 normal Weighted Avg. 0,962 0,038 0,962 0,962 0,962 0,923 0,960 0,944 === Confusion Matrix === a b <-- classified as 25 1 | a = adenocarcinoma 1 25 | b = normal