BMC Medical Informatics and Decision Making

Table 2 Performance of machine learning models of AUC, sensitivity, specificity, and accuracy

From: Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China

Model	AUC	Sensitivity	Specificity	Accuracy
LGB	0.933	0.87	0.85	0.87
XGB	0.927	0.85	0.85	0.85
CatB	0.929	0.86	0.83	0.84
AdaB	0.906	0.67	0.84	0.77
LR	0.818	0.41	0.83	0.65
MLP	0.892	0.79	0.84	0.83
LSTM	0.892	0.8	0.83	0.73

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ISSN: 1472-6947

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