Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 202036_s_at <= 8.932039: tumoral_non_BLC (21.0) 202036_s_at > 8.932039 | 201292_at <= 5.546375: normal_breast (7.0) | 201292_at > 5.546375: tumoral_basal (17.0) Number of Leaves : 3 Size of the tree : 5 Time taken to build model: 0.69 seconds Time taken to test model on training data: 0.58 seconds === Error on training data === Correctly Classified Instances 45 100 % 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 45 === 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_basal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_non_BLC 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_breast Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c <-- classified as 17 0 0 | a = tumoral_basal 0 21 0 | b = tumoral_non_BLC 0 0 7 | c = normal_breast Time taken to perform cross-validation: 1.62 seconds === Stratified cross-validation === Correctly Classified Instances 32 71.1111 % Incorrectly Classified Instances 13 28.8889 % Kappa statistic 0.5335 Mean absolute error 0.1926 Root mean squared error 0.4389 Relative absolute error 46.5293 % Root relative squared error 96.696 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,765 0,214 0,684 0,765 0,722 0,540 0,775 0,612 tumoral_basal 0,810 0,083 0,895 0,810 0,850 0,734 0,863 0,813 tumoral_non_BLC 0,286 0,132 0,286 0,286 0,286 0,154 0,577 0,193 normal_breast Weighted Avg. 0,711 0,140 0,720 0,711 0,714 0,570 0,785 0,641 === Confusion Matrix === a b c <-- classified as 13 1 3 | a = tumoral_basal 2 17 2 | b = tumoral_non_BLC 4 1 2 | c = normal_breast