Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 1556185_a_at <= 2.881306: tumoral (6.0) 1556185_a_at > 2.881306: normal (6.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.33 seconds Time taken to test model on training data: 0.15 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral 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 = normal 0 6 | b = tumoral Time taken to perform cross-validation: 0.39 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 normal 0,333 0,833 0,286 0,333 0,308 -0,507 0,250 0,429 tumoral 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 = normal 4 2 | b = tumoral