Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 230748_at <= 10.075265 | 242538_at <= 5.562677: normal (6.0) | 242538_at > 5.562677 | | 1554724_at <= 4.860324 | | | 1007_s_at <= 11.571611: normal (2.0) | | | 1007_s_at > 11.571611: oral_cavity_cancer (2.0) | | 1554724_at > 4.860324: oral_cavity_cancer (72.0) 230748_at > 10.075265: normal (21.0) Number of Leaves : 5 Size of the tree : 9 Time taken to build model: 2.02 seconds Time taken to test model on training data: 1.25 seconds === Error on training data === Correctly Classified Instances 103 100 % 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 103 === 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 oral_cavity_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 74 0 | a = oral_cavity_cancer 0 29 | b = normal Time taken to perform cross-validation: 3.27 seconds === Stratified cross-validation === Correctly Classified Instances 88 85.4369 % Incorrectly Classified Instances 15 14.5631 % Kappa statistic 0.6283 Mean absolute error 0.1424 Root mean squared error 0.3745 Relative absolute error 34.9524 % Root relative squared error 83.2186 % Total Number of Instances 103 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,919 0,310 0,883 0,919 0,901 0,630 0,809 0,872 oral_cavity_cancer 0,690 0,081 0,769 0,690 0,727 0,630 0,809 0,639 normal Weighted Avg. 0,854 0,246 0,851 0,854 0,852 0,630 0,809 0,806 === Confusion Matrix === a b <-- classified as 68 6 | a = oral_cavity_cancer 9 20 | b = normal