Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_139215 <= 11.655534: HCC (65.0/1.0) NM_139215 > 11.655534: normal (11.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.79 seconds Time taken to test model on training data: 0.66 seconds === Error on training data === Correctly Classified Instances 75 98.6842 % Incorrectly Classified Instances 1 1.3158 % Kappa statistic 0.9488 Mean absolute error 0.0259 Root mean squared error 0.1138 Relative absolute error 9.5285 % Root relative squared error 31.2057 % Total Number of Instances 76 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,083 0,985 1,000 0,992 0,950 0,958 0,985 HCC 0,917 0,000 1,000 0,917 0,957 0,950 0,958 0,930 normal Weighted Avg. 0,987 0,070 0,987 0,987 0,987 0,950 0,958 0,976 === Confusion Matrix === a b <-- classified as 64 0 | a = HCC 1 11 | b = normal Time taken to perform cross-validation: 1.59 seconds === Stratified cross-validation === Correctly Classified Instances 74 97.3684 % Incorrectly Classified Instances 2 2.6316 % Kappa statistic 0.901 Mean absolute error 0.039 Root mean squared error 0.1631 Relative absolute error 14.1972 % Root relative squared error 44.7036 % Total Number of Instances 76 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,984 0,083 0,984 0,984 0,984 0,901 0,923 0,970 HCC 0,917 0,016 0,917 0,917 0,917 0,901 0,923 0,853 normal Weighted Avg. 0,974 0,073 0,974 0,974 0,974 0,901 0,923 0,951 === Confusion Matrix === a b <-- classified as 63 1 | a = HCC 1 11 | b = normal