Table 7.

The P values of statistical test between EL and other methods

Missing mechanisms	Evaluation metrics	P values	Machine learning methods				Traditional methods
			LR	RF	NN	SVM	Mode	KNN	MICE
MCAR	Sensitivity	p.raw	0.018	0.047	0.091	0.016	0.016	0.016	0.016
		p.adj	0.025	0.055	0.091	0.025	0.025	0.025	0.025
	AUC	p.raw	0.016	0.029	0.139	0.018	0.016	0.030	0.018
		p.adj	0.031	0.034	0.139	0.031	0.031	0.034	0.031
	Kappa	p.raw	0.018	0.016	0.050	0.016	0.030	0.016	0.016
		p.adj	0.025	0.025	0.050	0.025	0.034	0.025	0.025
MAR (the ratio of missing proportion 1:2)	Sensitivity	p.raw	0.028	0.050	0.091	0.030	0.016	0.030	0.016
		p.adj	0.041	0.059	0.091	0.041	0.041	0.041	0.041
	AUC	p.raw	0.029	0.017	0.029	0.018	0.030	0.029	0.018
		p.adj	0.030	0.030	0.030	0.030	0.030	0.030	0.030
	Kappa	p.raw	0.024	0.050	0.091	0.029	0.953	0.086	0.016
		p.adj	0.068	0.088	0.106	0.068	0.953	0.106	0.068
MAR (the ratio of missing proportion 2:1)	Sensitivity	p.raw	0.016	0.018	0.172	0.017	0.016	0.018	0.016
		p.adj	0.021	0.021	0.172	0.021	0.021	0.021	0.021
	AUC	p.raw	0.050	0.584	0.819	0.086	0.016	0.071	0.031
		p.adj	0.117	0.681	0.819	0.120	0.109	0.120	0.109
	Kappa	p.raw	0.016	0.016	0.016	0.018	0.016	0.016	0.016
		p.adj	0.018	0.018	0.018	0.018	0.018	0.018	0.018

p.raw: the p value of Wilcoxon signed rank test;

p.adj: the p value adjusted by the FDR method based on p.raw