Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_033495 <= 6.794279: tumoral_luminal_A (19.0) NM_033495 > 6.794279: normal (7.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.39 seconds Time taken to test model on training data: 0.26 seconds === Error on training data === Correctly Classified Instances 26 100 % 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 26 === 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 tumoral_luminal_A 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 19 0 | a = tumoral_luminal_A 0 7 | b = normal Time taken to perform cross-validation: 0.59 seconds === Stratified cross-validation === Correctly Classified Instances 17 65.3846 % Incorrectly Classified Instances 9 34.6154 % Kappa statistic 0.2252 Mean absolute error 0.3462 Root mean squared error 0.5883 Relative absolute error 85.1594 % Root relative squared error 131.5755 % Total Number of Instances 26 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,684 0,429 0,813 0,684 0,743 0,233 0,628 0,787 tumoral_luminal_A 0,571 0,316 0,400 0,571 0,471 0,233 0,628 0,344 normal Weighted Avg. 0,654 0,398 0,701 0,654 0,670 0,233 0,628 0,667 === Confusion Matrix === a b <-- classified as 13 6 | a = tumoral_luminal_A 3 4 | b = normal