Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_000975 <= 17.573379: tumoral (8.0) NM_000975 > 17.573379: normal (8.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.27 seconds Time taken to test model on training data: 0.15 seconds === Error on training data === Correctly Classified Instances 16 100 % 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 16 === 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 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 8 0 | a = tumoral 0 8 | b = normal Time taken to perform cross-validation: 0.34 seconds === Stratified cross-validation === Correctly Classified Instances 14 87.5 % Incorrectly Classified Instances 2 12.5 % Kappa statistic 0.75 Mean absolute error 0.125 Root mean squared error 0.3536 Relative absolute error 24.7619 % Root relative squared error 69.9137 % Total Number of Instances 16 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,750 0,000 1,000 0,750 0,857 0,775 0,875 0,875 tumoral 1,000 0,250 0,800 1,000 0,889 0,775 0,875 0,800 normal Weighted Avg. 0,875 0,125 0,900 0,875 0,873 0,775 0,875 0,838 === Confusion Matrix === a b <-- classified as 6 2 | a = tumoral 0 8 | b = normal