Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 1554233_at <= 2.456132: tumoral (8.0) 1554233_at > 2.456132: normal (10.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.37 seconds Time taken to test model on training data: 0.24 seconds === Error on training data === Correctly Classified Instances 18 100 % 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 18 === 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 10 0 | a = normal 0 8 | b = tumoral Time taken to perform cross-validation: 0.68 seconds === Stratified cross-validation === Correctly Classified Instances 18 100 % 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 18 === 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 10 0 | a = normal 0 8 | b = tumoral