Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 210102_at <= 7.017527: tumoral (35.0) 210102_at > 7.017527: normal (14.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.49 seconds Time taken to test model on training data: 0.65 seconds === Error on training data === Correctly Classified Instances 49 100 % 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 49 === 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 35 0 | a = tumoral 0 14 | b = normal Time taken to perform cross-validation: 1.45 seconds === Stratified cross-validation === Correctly Classified Instances 40 81.6327 % Incorrectly Classified Instances 9 18.3673 % Kappa statistic 0.4706 Mean absolute error 0.1837 Root mean squared error 0.4286 Relative absolute error 44.3625 % Root relative squared error 94.6579 % Total Number of Instances 49 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,971 0,571 0,810 0,971 0,883 0,516 0,700 0,807 tumoral 0,429 0,029 0,857 0,429 0,571 0,516 0,700 0,531 normal Weighted Avg. 0,816 0,416 0,823 0,816 0,794 0,516 0,700 0,728 === Confusion Matrix === a b <-- classified as 34 1 | a = tumoral 8 6 | b = normal