Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_152459 <= 5.532156: larynx_squamous_cell_carcinoma (29.0) NM_152459 > 5.532156: normal (13.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.41 seconds Time taken to test model on training data: 0.34 seconds === Error on training data === Correctly Classified Instances 42 100 % 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 42 === 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 larynx_squamous_cell_carcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 13 0 | a = normal 0 29 | b = larynx_squamous_cell_carcinoma Time taken to perform cross-validation: 0.85 seconds === Stratified cross-validation === Correctly Classified Instances 39 92.8571 % Incorrectly Classified Instances 3 7.1429 % Kappa statistic 0.8293 Mean absolute error 0.0714 Root mean squared error 0.2673 Relative absolute error 16.4835 % Root relative squared error 57.6142 % Total Number of Instances 42 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,846 0,034 0,917 0,846 0,880 0,831 0,906 0,823 normal 0,966 0,154 0,933 0,966 0,949 0,831 0,906 0,925 larynx_squamous_cell_carcinoma Weighted Avg. 0,929 0,117 0,928 0,929 0,928 0,831 0,906 0,893 === Confusion Matrix === a b <-- classified as 11 2 | a = normal 1 28 | b = larynx_squamous_cell_carcinoma