Table 4.

ROC curves of multivariate logistic regression analysis, random forest, and support vector machine.

	AUC	AUC_CI_Lower	AUC_CI_Upper	Best_Threshold	Youden	Sensitivity	Specificity
Traditional Factor-logistic	0.831	0.793	0.868	0.431	0.529	0.760	0.769
Traditional factor-RF	0.730	0.655	0.805	1.500	0.460	0.633	0.827
Traditional factor-SVM	0.732	0.671	0.820	1.500	0.492	0.721	0.770
Placental function-logistic	0.733	0.687	0.779	0.484	0.364	0.684	0.680
Placental function-RF	0.612	0.529	0.694	1.500	0.223	0.656	0.568
Placental function-SVM	0.643	0.565	0.722	1.500	0.287	0.507	0.779

AUC = area under the curve, ROC = receiver operating characteristic, SVM = support vector machine.