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: 4.63 seconds Time taken to test model on training data: 1.13 seconds === Error on training data === Correctly Classified Instances 85 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1726 Root mean squared error 0.181 Relative absolute error 35.0918 % Root relative squared error 36.5017 % Total Number of Instances 85 === 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 tumoral_urothelia 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_urothelia Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 48 0 | a = tumoral_urothelia 0 37 | b = normal_urothelia Time taken to perform cross-validation: 13.28 seconds === Stratified cross-validation === Correctly Classified Instances 47 55.2941 % Incorrectly Classified Instances 38 44.7059 % Kappa statistic 0.0616 Mean absolute error 0.4933 Root mean squared error 0.5032 Relative absolute error 100.2666 % Root relative squared error 101.4669 % Total Number of Instances 85 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,708 0,649 0,586 0,708 0,642 0,064 0,527 0,572 tumoral_urothelia 0,351 0,292 0,481 0,351 0,406 0,064 0,527 0,472 normal_urothelia Weighted Avg. 0,553 0,493 0,541 0,553 0,539 0,064 0,527 0,528 === Confusion Matrix === a b <-- classified as 34 14 | a = tumoral_urothelia 24 13 | b = normal_urothelia