Performances of the decision tree models for women (Tehran Lipid and Glucose Study 1999–2012)
| Types of decision tree models | Performance measures | C5.0 | QUEST | CART |
|---|---|---|---|---|
| Models (1) | Sensitivity | 75% | 78% | 70% |
| Specificity | 78% | 78% | 79% | |
| PPV | 29% | 30% | 29% | |
| NPV | 96% | 97% | 96% | |
| Accuracy | 78% | 78% | 78% | |
| F-Measure | 0.42 | 0.43 | 0.41 | |
| G-Mean | 0.76 | 0.78 | 0.74 | |
| AUC | 0.81 | 0.81 | 0.81 | |
| Models (2) | Sensitivity | 73% | 73% | 66% |
| Specificity | 77% | 78% | 78% | |
| PPV | 28% | 29% | 27% | |
| NPV | 96% | 96% | 95% | |
| Accuracy | 77% | 78% | 77% | |
| F-Measure | 0.40 | 0.42 | 0.38 | |
| G-Mean | 0.75 | 0.75 | 0.72 | |
| AUC | 0.80 | 0.81 | 0.81 |
Model (1) was developed based on 20 variables which included 2h-PCPG.
Model (2) was developed based on 19 variables (2h-PCPG was excluded).
F-Measure: Harmonic mean between PPV and sensitivity, F-Measure=2 (sensitivity×PPV)/(sensitivity+PPV).
G-Mean of sensitivity and specificity, G=√sensitivity×specificity.
2h-PCPG, 2-hour postchallenge plasma glucose; AUC, area under the curve; CART, Classification and Regression Tree; G-Mean, geometric mean; NPV, negative predictive value; PPV, positive predictive value; QUEST, Quick Unbiased Efficient Statistical Tree.