Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 208505_s_at <= 6.377868: normal (24.0) 208505_s_at > 6.377868: Non_small_cell_lung_cancer (24.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.58 seconds Time taken to test model on training data: 0.64 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 Non_small_cell_lung_cancer 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 = Non_small_cell_lung_cancer Time taken to perform cross-validation: 1.44 seconds === Stratified cross-validation === Correctly Classified Instances 45 93.75 % Incorrectly Classified Instances 3 6.25 % Kappa statistic 0.875 Mean absolute error 0.0625 Root mean squared error 0.25 Relative absolute error 12.5 % Root relative squared error 50 % 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 0,125 0,889 1,000 0,941 0,882 0,938 0,889 normal 0,875 0,000 1,000 0,875 0,933 0,882 0,938 0,938 Non_small_cell_lung_cancer Weighted Avg. 0,938 0,063 0,944 0,938 0,937 0,882 0,938 0,913 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 3 21 | b = Non_small_cell_lung_cancer