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: 3.63 seconds Time taken to test model on training data: 0.26 seconds === Error on training data === Correctly Classified Instances 20 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.122 Root mean squared error 0.1366 Relative absolute error 24.4 % Root relative squared error 27.313 % Total Number of Instances 20 === 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 10 0 | a = adenocarcinoma 0 10 | b = normal Time taken to perform cross-validation: 10.64 seconds === Stratified cross-validation === Correctly Classified Instances 18 90 % Incorrectly Classified Instances 2 10 % Kappa statistic 0.8 Mean absolute error 0.3425 Root mean squared error 0.3641 Relative absolute error 68.0464 % Root relative squared error 72.2248 % Total Number of Instances 20 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,900 0,100 0,900 0,900 0,900 0,800 0,935 0,953 adenocarcinoma 0,900 0,100 0,900 0,900 0,900 0,800 0,935 0,919 normal Weighted Avg. 0,900 0,100 0,900 0,900 0,900 0,800 0,935 0,936 === Confusion Matrix === a b <-- classified as 9 1 | a = adenocarcinoma 1 9 | b = normal