Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 203760_s_at <= 6.498663: normal (14.0) 203760_s_at > 6.498663: Clear_Cell_Renal_Cell_Carcinoma (14.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.42 seconds Time taken to test model on training data: 0.39 seconds === Error on training data === Correctly Classified Instances 28 100 % 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 28 === 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 Clear_Cell_Renal_Cell_Carcinoma 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 14 0 | a = Clear_Cell_Renal_Cell_Carcinoma 0 14 | b = normal Time taken to perform cross-validation: 0.73 seconds === Stratified cross-validation === Correctly Classified Instances 22 78.5714 % Incorrectly Classified Instances 6 21.4286 % Kappa statistic 0.5714 Mean absolute error 0.2143 Root mean squared error 0.4629 Relative absolute error 42.7119 % Root relative squared error 92.202 % Total Number of Instances 28 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,714 0,143 0,833 0,714 0,769 0,577 0,786 0,738 Clear_Cell_Renal_Cell_Carcinoma 0,857 0,286 0,750 0,857 0,800 0,577 0,786 0,714 normal Weighted Avg. 0,786 0,214 0,792 0,786 0,785 0,577 0,786 0,726 === Confusion Matrix === a b <-- classified as 10 4 | a = Clear_Cell_Renal_Cell_Carcinoma 2 12 | b = normal