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: 3.82 seconds Time taken to test model on training data: 2.37 seconds === Error on training data === Correctly Classified Instances 194 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0242 Root mean squared error 0.04 Relative absolute error 4.8351 % Root relative squared error 7.991 % Total Number of Instances 194 === 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 97 0 | a = normal 0 97 | b = adenocarcinoma Time taken to perform cross-validation: 12.71 seconds === Stratified cross-validation === Correctly Classified Instances 190 97.9381 % Incorrectly Classified Instances 4 2.0619 % Kappa statistic 0.9588 Mean absolute error 0.0827 Root mean squared error 0.1264 Relative absolute error 16.5451 % Root relative squared error 25.2815 % Total Number of Instances 194 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,990 0,031 0,970 0,990 0,980 0,959 1,000 1,000 normal 0,969 0,010 0,989 0,969 0,979 0,959 1,000 1,000 adenocarcinoma Weighted Avg. 0,979 0,021 0,980 0,979 0,979 0,959 1,000 1,000 === Confusion Matrix === a b <-- classified as 96 1 | a = normal 3 94 | b = adenocarcinoma