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: 1.71 seconds Time taken to test model on training data: 0.29 seconds === Error on training data === Correctly Classified Instances 51 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0698 Root mean squared error 0.0923 Relative absolute error 14.0074 % Root relative squared error 18.4859 % Total Number of Instances 51 === 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 27 0 | a = normal 0 24 | b = adenocarcinoma Time taken to perform cross-validation: 4.63 seconds === Stratified cross-validation === Correctly Classified Instances 50 98.0392 % Incorrectly Classified Instances 1 1.9608 % Kappa statistic 0.9606 Mean absolute error 0.2261 Root mean squared error 0.2559 Relative absolute error 45.3639 % Root relative squared error 51.2714 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,042 0,964 1,000 0,982 0,961 0,992 0,993 normal 0,958 0,000 1,000 0,958 0,979 0,961 0,992 0,993 adenocarcinoma Weighted Avg. 0,980 0,022 0,981 0,980 0,980 0,961 0,992 0,993 === Confusion Matrix === a b <-- classified as 27 0 | a = normal 1 23 | b = adenocarcinoma