Table 2. Summary of model performance for internal validation data.

Model	Sensitivity (recall)	Specificity	Accuracy	Gmeans	F-score	Kappa	AUC
LR	0.670	0.860	0.860	0.759	0.645	0.559	0.829
RF	0.600	0.910	0.848	0.739	0.600	0.506	0.731
XGBoost	0.730	0.840	0.820	0.783	0.611	0.550	0.835

LR, logistic regression; RF, random forest; XGBoost, eXtreme Gradient Boosting; AUC, area under the receiver operating characteristic curve.