Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 11721993_at <= 6.203375: normal (97.0) 11721993_at > 6.203375: adenocarcinoma (97.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 1.43 seconds Time taken to test model on training data: 2.28 seconds === Error on training data === Correctly Classified Instances 194 100 % 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 194 === 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 adenocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 97 0 | a = normal 0 97 | b = adenocarcinoma Time taken to perform cross-validation: 4.52 seconds === Stratified cross-validation === Correctly Classified Instances 184 94.8454 % Incorrectly Classified Instances 10 5.1546 % Kappa statistic 0.8969 Mean absolute error 0.0515 Root mean squared error 0.227 Relative absolute error 10.3085 % Root relative squared error 45.4032 % Total Number of Instances 194 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,938 0,041 0,958 0,938 0,948 0,897 0,948 0,930 normal 0,959 0,062 0,939 0,959 0,949 0,897 0,948 0,921 adenocarcinoma Weighted Avg. 0,948 0,052 0,949 0,948 0,948 0,897 0,948 0,925 === Confusion Matrix === a b <-- classified as 91 6 | a = normal 4 93 | b = adenocarcinoma