Table 3.

The performance of six basic models constructed with all-cause mortality and cardiovascular mortality as the outcome variables

Basic model	AUC
All-cause mortality
Logistic	0.8114948
K-NN	0.8028286
Naive Bayes	0.8041313
SVM	0.8132667
Random forest	0.8227461
XGBoost	0.8261726
Cardiovascular mortality
Logistic	0.7612384
K-NN	0.7567034
Naive Bayes	0.7617524
SVM	0.616799
Random forest	0.7579192
XGBoost	0.7686703

K-NN k-nearest neighbours; SVM Support vector machine; XGBoost Extreme gradient boosting