Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ A_24_P289130 <= 4.951905: normal (13.0) A_24_P289130 > 4.951905: triple_negative_breast_cancer (30.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.39 seconds Time taken to test model on training data: 0.34 seconds === Error on training data === Correctly Classified Instances 43 100 % 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 43 === 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 triple_negative_breast_cancer 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 30 0 | a = triple_negative_breast_cancer 0 13 | b = normal Time taken to perform cross-validation: 0.83 seconds === Stratified cross-validation === Correctly Classified Instances 32 74.4186 % Incorrectly Classified Instances 11 25.5814 % Kappa statistic 0.3801 Mean absolute error 0.2558 Root mean squared error 0.5058 Relative absolute error 59.8771 % Root relative squared error 109.9309 % Total Number of Instances 43 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,462 0,806 0,833 0,820 0,381 0,686 0,788 triple_negative_breast_cancer 0,538 0,167 0,583 0,538 0,560 0,381 0,686 0,454 normal Weighted Avg. 0,744 0,372 0,739 0,744 0,741 0,381 0,686 0,687 === Confusion Matrix === a b <-- classified as 25 5 | a = triple_negative_breast_cancer 6 7 | b = normal