Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 205941_s_at <= 7.537487 | 239186_at <= 5.584994: tumoral (3.0) | 239186_at > 5.584994: normal (57.0) 205941_s_at > 7.537487: tumoral (54.0/1.0) Number of Leaves : 3 Size of the tree : 5 Time taken to build model: 1.78 seconds Time taken to test model on training data: 1.45 seconds === Error on training data === Correctly Classified Instances 113 99.1228 % Incorrectly Classified Instances 1 0.8772 % Kappa statistic 0.9825 Mean absolute error 0.0172 Root mean squared error 0.0928 Relative absolute error 3.4448 % Root relative squared error 18.5603 % Total Number of Instances 114 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,017 0,982 1,000 0,991 0,983 0,992 0,983 tumoral 0,983 0,000 1,000 0,983 0,991 0,983 0,992 0,992 normal Weighted Avg. 0,991 0,008 0,991 0,991 0,991 0,983 0,992 0,988 === Confusion Matrix === a b <-- classified as 56 0 | a = tumoral 1 57 | b = normal Time taken to perform cross-validation: 3.54 seconds === Stratified cross-validation === Correctly Classified Instances 104 91.2281 % Incorrectly Classified Instances 10 8.7719 % Kappa statistic 0.8245 Mean absolute error 0.0956 Root mean squared error 0.295 Relative absolute error 19.1136 % Root relative squared error 58.9877 % Total Number of Instances 114 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,911 0,086 0,911 0,911 0,911 0,825 0,900 0,877 tumoral 0,914 0,089 0,914 0,914 0,914 0,825 0,900 0,862 normal Weighted Avg. 0,912 0,088 0,912 0,912 0,912 0,825 0,900 0,869 === Confusion Matrix === a b <-- classified as 51 5 | a = tumoral 5 53 | b = normal