=== Classifier model (full training set) === ZeroR predicts class value: normal Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.18 seconds === Error on training data === Correctly Classified Instances 8 33.3333 % Incorrectly Classified Instances 16 66.6667 % Kappa statistic 0 Mean absolute error 0.4444 Root mean squared error 0.4714 Relative absolute error 100 % Root relative squared error 100 % 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 1,000 0,333 1,000 0,500 ? 0,500 0,333 normal 0,000 0,000 ? 0,000 ? ? 0,500 0,333 low_grade_papillary_urothelial_carcinoma 0,000 0,000 ? 0,000 ? ? 0,500 0,333 high_grade_papillary_urothelial_carcinoma Weighted Avg. 0,333 0,333 ? 0,333 ? ? 0,500 0,333 === Confusion Matrix === a b c <-- classified as 8 0 0 | a = normal 8 0 0 | b = low_grade_papillary_urothelial_carcinoma 8 0 0 | c = high_grade_papillary_urothelial_carcinoma Time taken to perform cross-validation: 0.23 seconds === Stratified cross-validation === Correctly Classified Instances 6 25 % Incorrectly Classified Instances 18 75 % Kappa statistic -0.125 Mean absolute error 0.4474 Root mean squared error 0.4751 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 24 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,250 0,375 0,250 0,250 0,250 -0,125 0,438 0,313 normal 0,250 0,375 0,250 0,250 0,250 -0,125 0,438 0,313 low_grade_papillary_urothelial_carcinoma 0,250 0,375 0,250 0,250 0,250 -0,125 0,438 0,313 high_grade_papillary_urothelial_carcinoma Weighted Avg. 0,250 0,375 0,250 0,250 0,250 -0,125 0,438 0,313 === Confusion Matrix === a b c <-- classified as 2 3 3 | a = normal 3 2 3 | b = low_grade_papillary_urothelial_carcinoma 3 3 2 | c = high_grade_papillary_urothelial_carcinoma