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: 2.11 seconds Time taken to test model on training data: 0.39 seconds === Error on training data === Correctly Classified Instances 65 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1668 Root mean squared error 0.1753 Relative absolute error 33.3615 % Root relative squared error 35.0724 % Total Number of Instances 65 === 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 adenocarcinoma 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 33 | b = adenocarcinoma Time taken to perform cross-validation: 5.69 seconds === Stratified cross-validation === Correctly Classified Instances 48 73.8462 % Incorrectly Classified Instances 17 26.1538 % Kappa statistic 0.4761 Mean absolute error 0.4575 Root mean squared error 0.4739 Relative absolute error 91.5077 % Root relative squared error 94.7603 % Total Number of Instances 65 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,688 0,212 0,759 0,688 0,721 0,478 0,687 0,673 normal 0,788 0,313 0,722 0,788 0,754 0,478 0,687 0,638 adenocarcinoma Weighted Avg. 0,738 0,263 0,740 0,738 0,738 0,478 0,687 0,655 === Confusion Matrix === a b <-- classified as 22 10 | a = normal 7 26 | b = adenocarcinoma