Table 2.

Model performance for predicting in-hospital mortality in patients with cirrhosis and GI bleeding.

Model	AUC	Best Threshold	Accuracy	Sensitivity	Specificity	PPV	NPV
LR	0.817	0.112	0.765 (0.760–0.769)	0.717	0.771	0.281	0.956
XGB	0.866	0.101	0.780 (0.776–0.785)	0.788	0.779	0.309	0.967
NN	0.837	0.101	0.753 (0.748–0.756)	0.761	0.752	0.278	0.962
MELD score	0.779	0.137	0.725 (0.719–0.731)	0.687	0.731	0.282	0.938

LR: logistic regression; XGB: XGBoost; NN: neural network; PPV: positive predictive value; NPV: negative predictive value; MELD: Model for End-stage Liver Disease.