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: 3.69 seconds Time taken to test model on training data: 0.65 seconds === Error on training data === Correctly Classified Instances 48 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0413 Root mean squared error 0.0528 Relative absolute error 8.25 % Root relative squared error 10.5672 % Total Number of Instances 48 === 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 Non_small_cell_lung_cancer Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 0 24 | b = Non_small_cell_lung_cancer Time taken to perform cross-validation: 11.19 seconds === Stratified cross-validation === Correctly Classified Instances 48 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1358 Root mean squared error 0.1519 Relative absolute error 27.1667 % Root relative squared error 30.3782 % Total Number of Instances 48 === 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 Non_small_cell_lung_cancer Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 0 24 | b = Non_small_cell_lung_cancer