Table 2 Results of model output indicators in all participants
Model | ACC (95%CI) | Precision | Recall | AUC (95%CI) | F1 Score (95%CI) | SEN (95%CI) | SPE (95%CI) |
|---|---|---|---|---|---|---|---|
GradientBoost | 0.801 (0.775–0.821) | 0.730 | 0.716 | 0.870 (0.858–0.882) | 0.722 (0.686–0.754) | 0.716 (0.676–0.755) | 0.849 (0.816–0.872) |
AdaBoost | 0.796 (0.785–0.817) | 0.727 | 0.700 | 0.858 (0.836–0.877) | 0.713 (0.694–0.747) | 0.700 (0.673–0.747) | 0.851 (0.844–0.858) |
XGBoost | 0.782 (0.764–0.802) | 0.701 | 0.697 | 0.858 (0.849–0.872) | 0.699 (0.665–0.732) | 0.697 (0.648–0.747) | 0.831 (0.815–0.843) |