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: 3.96 seconds Time taken to test model on training data: 1.24 seconds === Error on training data === Correctly Classified Instances 90 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0402 Root mean squared error 0.054 Relative absolute error 8.0483 % Root relative squared error 10.8018 % Total Number of Instances 90 === 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 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 46 0 | a = tumoral 0 44 | b = normal Time taken to perform cross-validation: 11.9 seconds === Stratified cross-validation === Correctly Classified Instances 90 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1199 Root mean squared error 0.151 Relative absolute error 23.9778 % Root relative squared error 30.1822 % Total Number of Instances 90 === 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 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 46 0 | a = tumoral 0 44 | b = normal