Table 4 Prediction performance of C_model, R_model, and RC_model in the training and test sets
Set | Model | Sensitivity (95%CI) | Specificity (95%CI) | Accuracy (95%CI) | AUC (95%CI) |
|---|---|---|---|---|---|
Training | C_model | 0.645 (0.454–0.808) | 0.700 (0.457–0.881) | 0.667 (0.521–0.792) | 0.744 (0.595–0.874) |
|  | R_model | 0.774 (0.589–0.904) | 0.700 (0.457–0.881) | 0.745 (0.604–0.857) | 0.813 (0.685–0.916) |
|  | RC_model | 0.806 (0.625–0.925) | 0.800 (0.563–0.943) | 0.804 (0.669–0.902) | 0.889 (0.794–0.963) |
Test | C_model | 0.700 (0.457–0.881) | 0.692 (0.386–0.909) | 0.697 (0.513–0.844) | 0.750 (0.577–0.904) |
|  | R_model | 0.800 (0.563–0.943) | 0.769 (0.462–0.950) | 0.788 (0.611–0.910) | 0.869 (0.715–0.985) |
|  | RC_model | 0.900 (0.683–0.988) | 0.769 (0.462–0.950) | 0.848 (0.681–0.949) | 0.892 (0.758–0.992) |
AUC Area under the curve, CI Confidence interval | |||||