Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 203489_at <= 7.949439: normal (10.0) 203489_at > 7.949439: adenocarcinoma (10.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.38 seconds Time taken to test model on training data: 0.29 seconds === Error on training data === Correctly Classified Instances 20 100 % 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 20 === 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 adenocarcinoma 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 10 0 | a = adenocarcinoma 0 10 | b = normal Time taken to perform cross-validation: 0.56 seconds === Stratified cross-validation === Correctly Classified Instances 13 65 % Incorrectly Classified Instances 7 35 % Kappa statistic 0.3 Mean absolute error 0.35 Root mean squared error 0.5916 Relative absolute error 69.5364 % Root relative squared error 117.3606 % Total Number of Instances 20 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,400 0,100 0,800 0,400 0,533 0,346 0,650 0,620 adenocarcinoma 0,900 0,600 0,600 0,900 0,720 0,346 0,650 0,590 normal Weighted Avg. 0,650 0,350 0,700 0,650 0,627 0,346 0,650 0,605 === Confusion Matrix === a b <-- classified as 4 6 | a = adenocarcinoma 1 9 | b = normal