Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 205554_s_at <= 6.619715: heptocarcinoma (21.0) 205554_s_at > 6.619715 | 207158_at <= 4.902058: heptocarcinoma (3.0) | 207158_at > 4.902058: normal (24.0) 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: 0.27 seconds === Error on training data === Correctly Classified Instances 48 100 % 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 48 === 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 heptocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 0 24 | b = heptocarcinoma Time taken to perform cross-validation: 0.56 seconds === Stratified cross-validation === Correctly Classified Instances 40 83.3333 % Incorrectly Classified Instances 8 16.6667 % Kappa statistic 0.6667 Mean absolute error 0.1814 Root mean squared error 0.4036 Relative absolute error 36.2745 % Root relative squared error 80.7262 % Total Number of Instances 48 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,917 0,250 0,786 0,917 0,846 0,676 0,799 0,722 normal 0,750 0,083 0,900 0,750 0,818 0,676 0,799 0,805 heptocarcinoma Weighted Avg. 0,833 0,167 0,843 0,833 0,832 0,676 0,799 0,763 === Confusion Matrix === a b <-- classified as 22 2 | a = normal 6 18 | b = heptocarcinoma