Table 3.

The performance of deep learning and machine leaning models.

Model	(1) Deletion of missing data				(2) Replacement by mean-value
	AUC	Accuracy	FPR	FNR	AUC	Accuracy	FPR	FNR
Deep learning	0.706	0.681	0.326	0.379	0.674	0.654	0.351	0.414
Logistic regression	0.708	0.686	0.312	0.398	0.681	0.688	0.311	0.404
Random forest	0.651	0.801	0.186	0.588	0.657	0.791	0.208	0.611
Boosted trees	0.634	0.831	0.158	0.683	0.645	0.821	0.171	0.638
Decision tree	0.596	0.724	0.269	0.601	0.623	0.702	0.292	0.563

AUC area under the curve, FPR false positive rate, FNR false negative rate.