Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 4220373 <= 2.675239: tumoral (6.0) 4220373 > 2.675239: normal (6.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.22 seconds Time taken to test model on training data: 0.14 seconds === Error on training data === Correctly Classified Instances 12 100 % 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 12 === 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 6 0 | a = tumoral 0 6 | b = normal Time taken to perform cross-validation: 0.36 seconds === Stratified cross-validation === Correctly Classified Instances 11 91.6667 % Incorrectly Classified Instances 1 8.3333 % Kappa statistic 0.8333 Mean absolute error 0.0833 Root mean squared error 0.2887 Relative absolute error 16.6667 % Root relative squared error 57.735 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,000 1,000 0,833 0,909 0,845 0,917 0,917 tumoral 1,000 0,167 0,857 1,000 0,923 0,845 0,917 0,857 normal Weighted Avg. 0,917 0,083 0,929 0,917 0,916 0,845 0,917 0,887 === Confusion Matrix === a b <-- classified as 5 1 | a = tumoral 0 6 | b = normal