Table 2

Comparison of XGB method as a classification in biomedical applications

	Accuracy	AUC	Recall
Ma et al 46	0.83	0.87	0.95
Torlay et al 47	0.93	0.91	–
Ogunleye et al 50	0.98	0.99	0.98
Shi et al ⁷⁴	0.92	–	0.92
Yu et al 51	0.97	–	0.96
Zhong et al 52	0.78	0.78	0.55

AUC, area under the curve; XGB, eXtreme Gradient Boosting.