Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 1552619_a_at <= 4.881835: normal (44.0) 1552619_a_at > 4.881835: tumoral (46.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.8 seconds Time taken to test model on training data: 1.14 seconds === Error on training data === Correctly Classified Instances 90 100 % 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 90 === 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 46 0 | a = tumoral 0 44 | b = normal Time taken to perform cross-validation: 2.5 seconds === Stratified cross-validation === Correctly Classified Instances 87 96.6667 % Incorrectly Classified Instances 3 3.3333 % Kappa statistic 0.9333 Mean absolute error 0.0333 Root mean squared error 0.1826 Relative absolute error 6.6667 % Root relative squared error 36.5022 % Total Number of Instances 90 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,978 0,045 0,957 0,978 0,968 0,933 0,966 0,948 tumoral 0,955 0,022 0,977 0,955 0,966 0,933 0,966 0,955 normal Weighted Avg. 0,967 0,034 0,967 0,967 0,967 0,933 0,966 0,951 === Confusion Matrix === a b <-- classified as 45 1 | a = tumoral 2 42 | b = normal