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: 3.31 seconds Time taken to test model on training data: 0.28 seconds === Error on training data === Correctly Classified Instances 24 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0554 Root mean squared error 0.0657 Relative absolute error 11.7619 % Root relative squared error 13.562 % Total Number of Instances 24 === 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_ovarian_surface_epithelium 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_serous Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous Time taken to perform cross-validation: 9.43 seconds === Stratified cross-validation === Correctly Classified Instances 24 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1821 Root mean squared error 0.2007 Relative absolute error 38.5588 % Root relative squared error 41.4387 % Total Number of Instances 24 === 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_ovarian_surface_epithelium 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_serous Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous