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: 3.55 seconds Time taken to test model on training data: 0.36 seconds === Error on training data === Correctly Classified Instances 28 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0332 Root mean squared error 0.0433 Relative absolute error 6.6429 % Root relative squared error 8.6603 % Total Number of Instances 28 === 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 Clear_Cell_Renal_Cell_Carcinoma 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 14 0 | a = Clear_Cell_Renal_Cell_Carcinoma 0 14 | b = normal Time taken to perform cross-validation: 10.56 seconds === Stratified cross-validation === Correctly Classified Instances 28 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1275 Root mean squared error 0.1458 Relative absolute error 25.4136 % Root relative squared error 29.0326 % Total Number of Instances 28 === 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 Clear_Cell_Renal_Cell_Carcinoma 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 14 0 | a = Clear_Cell_Renal_Cell_Carcinoma 0 14 | b = normal