Table 3 Results of model output indicators in different age subgroups
Model | ACC (95%CI) | Precision | Recall | AUC (95%CI) | F1 Score (95%CI) | SEN (95%CI) | SPE (95%CI) |
|---|---|---|---|---|---|---|---|
Age under 60 years old | |||||||
GradientBoost | 0.819 (0.783–0.856) | 0.731 | 0.664 | 0.891 (0.856–0.892) | 0.680 (0.544–0.779) | 0.664 (0.417–0.825) | 0.885 (0.803–0.957) |
AdaBoost | 0.819 (0.728–0.857) | 0.731 | 0.717 | 0.866 (0.828–0.911) | 0.709 (0.638–0.763) | 0.717 (0.574–0.792) | 0.862 (0.700-0.961) |
XGBoost | 0.816 (0.761–0.878) | 0.703 | 0.700 | 0.882 (0.836–0.918) | 0.695 (0.618–0.802) | 0.700 (0.535–0.823) | 0.866 (0.785–0.924) |
Age from 60 to 64 years old | |||||||
GradientBoost | 0.821 (0.746–0.898) | 0.795 | 0.759 | 0.892 (0.842–0.929) | 0.772 (0.684–0.872) | 0.759 (0.625–0.904) | 0.863 (0.781–0.934) |
AdaBoost | 0.776 (0.696–0.813) | 0.725 | 0.722 | 0.843 (0.724–0.904) | 0.721 (0.617–0.774) | 0.722 (0.603–0.850) | 0.812 (0.750–0.872) |
XGBoost | 0.825 (0.725–0.905) | 0.812 | 0.749 | 0.905 (0.860–0.948) | 0.776 (0.668–0.884) | 0.749 (0.630–0.894) | 0.875 (0.731–0.966) |
Age 65 years old and above | |||||||
GradientBoost | 0.765 (0.741–0.793) | 0.687 | 0.687 | 0.837 (0.827–0.862) | 0.686 (0.639–0.732) | 0.687 (0.610–0.759) | 0.812 (0.782–0.837) |
AdaBoost | 0.760 (0.721–0.811) | 0.689 | 0.654 | 0.815 (0.770–0.836) | 0.669 (0.605–0.758) | 0.654 (0.568–0.790) | 0.824 (0.798–0.854) |
XGBoost | 0.765 (0.746–0.810) | 0.695 | 0.668 | 0.835 (0.820–0.872) | 0.680 (0.639-0.745) | 0.668 (0.596–0.742) | 0.824 (0.789–0.855) |