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: 3.23 seconds Time taken to test model on training data: 0.17 seconds === Error on training data === Correctly Classified Instances 15 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.064 Root mean squared error 0.0751 Relative absolute error 13.2683 % Root relative squared error 15.3253 % Total Number of Instances 15 === 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 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 0 9 | b = cc_epithelial_OvaCa_multiple_cultures Time taken to perform cross-validation: 9.1 seconds === Stratified cross-validation === Correctly Classified Instances 15 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.2173 Root mean squared error 0.2275 Relative absolute error 44.9655 % Root relative squared error 46.4071 % Total Number of Instances 15 === 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 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 0 9 | b = cc_epithelial_OvaCa_multiple_cultures