Table 3.
Performance measures of prediction models.
| Performance Measures | Model 1 (95%CI) | Model 2 (95%CI) | Model 3 (95%CI) |
|---|---|---|---|
| Accuracy | 0.718 (0.63-0.795) | 0.723 (0.631-0.804) | 0.774 (0.69-0.844) |
| AUC | 0.779 (0.699-0.858) | 0.806 (0.727-0.885) | 0.845 (0.779-0.911) |
| Sensitivity | 0.814 (0.666-0.916) | 0.75 (0.578-0.879) | 0.814 (0.666-0.916) |
| Specificity | 0.667 (0.553-0.768) | 0.711 (0.595-0.809) | 0.753 (0.645-0.842) |
| Positive Predictive Value | 0.565 (0.433-0.69) | 0.551 (0.402-0.693) | 0.636 (0.496-0.762) |
| Negative Predictive Value | 0.871 (0.761-0.943) | 0.857 (0.746-0.933) | 0.884 (0.784-0.949) |
| Brier Score | 0.174 | 0.164 | 0.152 |