Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ BC048201 <= 6.109779: Grade_3_reactive_stroma_prostate_cancer (13.0) BC048201 > 6.109779 | NM_017736 <= 10.580943: normal (15.0) | NM_017736 > 10.580943: Grade_3_reactive_stroma_prostate_cancer (3.0) Number of Leaves : 3 Size of the tree : 5 Time taken to build model: 0.43 seconds Time taken to test model on training data: 0.25 seconds === Error on training data === Correctly Classified Instances 31 100 % 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 31 === 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 Grade_3_reactive_stroma_prostate_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 16 0 | a = Grade_3_reactive_stroma_prostate_cancer 0 15 | b = normal Time taken to perform cross-validation: 0.8 seconds === Stratified cross-validation === Correctly Classified Instances 16 51.6129 % Incorrectly Classified Instances 15 48.3871 % Kappa statistic 0.0373 Mean absolute error 0.4834 Root mean squared error 0.6691 Relative absolute error 96.6764 % Root relative squared error 133.7352 % Total Number of Instances 31 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,438 0,400 0,538 0,438 0,483 0,038 0,538 0,524 Grade_3_reactive_stroma_prostate_cancer 0,600 0,563 0,500 0,600 0,545 0,038 0,538 0,528 normal Weighted Avg. 0,516 0,479 0,520 0,516 0,513 0,038 0,538 0,526 === Confusion Matrix === a b <-- classified as 7 9 | a = Grade_3_reactive_stroma_prostate_cancer 6 9 | b = normal