Table 5.

Performance of sarcopenia risk models.

Modeling strategy	Sensitivity	Specificity	PPV	NPV	AUC
LR	0.686 (0.532–0.840)	0.800 (0.689–0.911)	0.706 (0.553–0.859)	0.784 (0.671–0.897)	0.764 (0.659–0.869)
SVM	0.657 (0.500–0.814)	0.840 (0.738–0.942)	0.742 (0.588–0.896)	0.778 (0.667–0.889)	0.775 (0.670–0.880)
KNN	0.657 (0.500–0.814)	0.740 (0.618–0.862)	0.639 (0.482–0.796)	0.755 (0.635–0.876)	0.748 (0.643–0.853)
XGboost	0.914 (0.822–1.000)	0.400 (0.264–0.536)	0.516 (0.392–0.641)	0.870 (0.732–1.007)	0.706 (0.596–0.816)