Table 4: Evaluation results, a) Coefficient; b) Number of people classified, of predictive models on the total dataset and after applying the 10-fold cross validation.

a) Method Sensitivity 1-specificity (False Positive Rate) F-Measure Kappa AUROC
Use full training set CART 0.933 0.028 0.866 0.8477 0.956
J48 0.800 0.014 0.837 0.8178 0.956
JRip 0.911 0.025 0.863 0.8449 0.944
PART 0.889 0.014 0.889 0.8749 0.962
Logistic regression 0.822 0.017 0.841 0.8214 0.972
10-fold cross validation CART 0.844 0.034 0.800 0.7733 0.900
J48 0.800 0.020 0.818 0.7958 0.900
JRip 0.911 0.048 0.796 0.7667 0.932
PART 0.778 0.028 0.778 0.7498 0.882
Logistic regression 0.822 0.025 0.813 0.7893 0.965


b) CART J48 JRip PART LR
Classified as
Real COPD Non-COPD COPD Non-COPD COPD Non-COPD COPD Non-COPD COPD Non-COPD
Use full training set COPD 42 3 36 9 41 4 40 5 37 8
Non-COPD 10 347 5 352 9 348 5 352 6 351
10-fold cross validation COPD 38 7 36 9 41 4 35 10 37 8
Non-COPD 12 345 7 350 17 340 10 347 9 348