Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 201250_s_at <= 6.029084: normal (16.0/1.0) 201250_s_at > 6.029084: tumoral (35.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.74 seconds Time taken to test model on training data: 0.64 seconds === Error on training data === Correctly Classified Instances 50 98.0392 % Incorrectly Classified Instances 1 1.9608 % Kappa statistic 0.9537 Mean absolute error 0.0368 Root mean squared error 0.1356 Relative absolute error 8.7865 % Root relative squared error 29.7516 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,972 0,000 1,000 0,972 0,986 0,955 0,986 0,992 tumoral 1,000 0,028 0,938 1,000 0,968 0,955 0,986 0,938 normal Weighted Avg. 0,980 0,008 0,982 0,980 0,981 0,955 0,986 0,976 === Confusion Matrix === a b <-- classified as 35 1 | a = tumoral 0 15 | b = normal Time taken to perform cross-validation: 1.53 seconds === Stratified cross-validation === Correctly Classified Instances 40 78.4314 % Incorrectly Classified Instances 11 21.5686 % Kappa statistic 0.4905 Mean absolute error 0.2289 Root mean squared error 0.462 Relative absolute error 54.503 % Root relative squared error 101.37 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,333 0,857 0,833 0,845 0,491 0,733 0,832 tumoral 0,667 0,167 0,625 0,667 0,645 0,491 0,733 0,488 normal Weighted Avg. 0,784 0,284 0,789 0,784 0,786 0,491 0,733 0,731 === Confusion Matrix === a b <-- classified as 30 6 | a = tumoral 5 10 | b = normal