=== Classifier model (full training set) === ZeroR predicts class value: hepatocellular_carcinoma Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.12 seconds === Error on training data === Correctly Classified Instances 6 50 % Incorrectly Classified Instances 6 50 % Kappa statistic 0 Mean absolute error 0.5 Root mean squared error 0.5 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,500 1,000 0,667 ? 0,500 0,500 hepatocellular_carcinoma 0,000 0,000 ? 0,000 ? ? 0,500 0,500 normal Weighted Avg. 0,500 0,500 ? 0,500 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 6 0 | a = hepatocellular_carcinoma 6 0 | b = normal Time taken to perform cross-validation: 0.16 seconds === Stratified cross-validation === Correctly Classified Instances 6 50 % Incorrectly Classified Instances 6 50 % Kappa statistic 0 Mean absolute error 0.5 Root mean squared error 0.5 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,500 1,000 0,667 ? 0,500 0,500 hepatocellular_carcinoma 0,000 0,000 ? 0,000 ? ? 0,500 0,500 normal Weighted Avg. 0,500 0,500 ? 0,500 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 6 0 | a = hepatocellular_carcinoma 6 0 | b = normal