Models | AUC (95% CI) | P value* | P value† | P value‡ | Accuracy | F1 score |
---|---|---|---|---|---|---|
APACHE II | 0.611 (0.583–0.640) | 0.607 | 0.660 | |||
SOFA | 0.677 (0.651–0.703) | 0.629 | 0.643 | |||
MOSAIC | 0.722 (0.677–0.767) | 0.660 | 0.658 | |||
κ-Nearest neighbor | 0.762 (0.719–0.805) | < 0.001 | < 0.001 | 0.213 | 0.673 | 0.745 |
Support vector machine | 0.771 (0.729–0.813) | < 0.001 | < 0.001 | 0.119 | 0.692 | 0.752 |
Multivariate adaptive regression splines | 0.753 (0.710–0.796) | < 0.001 | 0.003 | 0.332 | 0.673 | 0.736 |
Random forest | 0.784 (0.744–0.825) | < 0.001 | < 0.001 | 0.045 | 0.690 | 0.762 |
Extreme gradient boost | 0.776 (0.735–0.818) | < 0.001 | < 0.001 | 0.085 | 0.715 | 0.763 |
Artificial neural network | 0.776 (0.735–0.818) | < 0.001 | < 0.001 | 0.082 | 0.694 | 0.749 |