Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 1555564_a_at <= 3.029822: normal (6.0) 1555564_a_at > 3.029822: tumoral (6.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.24 seconds Time taken to test model on training data: 0.16 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: 0.38 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 0.7071 Relative absolute error 100 % Root relative squared error 141.4214 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,500 0,500 0,500 0,500 0,500 0,000 0,500 0,500 normal 0,500 0,500 0,500 0,500 0,500 0,000 0,500 0,500 tumoral Weighted Avg. 0,500 0,500 0,500 0,500 0,500 0,000 0,500 0,500 === Confusion Matrix === a b <-- classified as 3 3 | a = normal 3 3 | b = tumoral