Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_002497 <= 5.098184: normal (6.0) NM_002497 > 5.098184: hepatocellular_carcinoma (6.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.2 seconds Time taken to test model on training data: 0.1 seconds === Error on training data === Correctly Classified Instances 12 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0 Root mean squared error 0 Relative absolute error 0 % Root relative squared error 0 % 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 0,000 1,000 1,000 1,000 1,000 1,000 1,000 hepatocellular_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 6 0 | a = hepatocellular_carcinoma 0 6 | b = normal Time taken to perform cross-validation: 0.3 seconds === Stratified cross-validation === Correctly Classified Instances 3 25 % Incorrectly Classified Instances 9 75 % Kappa statistic -0.5 Mean absolute error 0.75 Root mean squared error 0.866 Relative absolute error 150 % Root relative squared error 173.2051 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,167 0,667 0,200 0,167 0,182 -0,507 0,250 0,450 hepatocellular_carcinoma 0,333 0,833 0,286 0,333 0,308 -0,507 0,250 0,429 normal Weighted Avg. 0,250 0,750 0,243 0,250 0,245 -0,507 0,250 0,439 === Confusion Matrix === a b <-- classified as 1 5 | a = hepatocellular_carcinoma 4 2 | b = normal