[Retracted] Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery

Table 6

Comparison of predictive ability of three machine learning methods.

Data	Model		Accuracy	Recall rate	AUROC
All samples ()	Logistic return	0.949	0.873	0.753	0.969
	XGB	0.962	0.879	0.759	0.964
	ANN	0.951	0.841	0.781	0.954
Training sample ()	Logistic return	0.952	0.958	0.958	0.814
	XGB	0.966	0.968	0.965	0.906
	ANN	0.961	0.959	0.969	0.889
Test sample ()	Logistic return	0.951	0.950	0.943	0.828
	XGB	0.953	0.954	0.965	0.881
	ANN	0.951	0.957	0.955	0.885