Table A1.

Accuracy values for classification of severe and non-severe COVID-19 based on chest radiographs in the held-out independent test sets by the Inception-v1 models trained with different training sets and batch sizes of 16, 32, and 64. The mean and standard deviation were estimated from the models trained with five random initializations for a given training set and batch size.

Batch Size	Models	MIDRC	BrixIA	COVIDGR	UMICH
		Accuracy
16	M	0.76 ± 0.01	0.74 ± 0.01	0.74 ± 0.04	0.73 ± 0.01
	MB	0.77 ± 0.01	0.77 ± 0.02	0.72 ± 0.03	0.75 ± 0.02
	MBC	0.77 ± 0.02	0.77 ± 0.01	0.76 ± 0.06	0.73 ± 0.02
32	M	0.75 ± 0.02	0.75 ± 0.02	0.71 ± 0.05	0.73 ± 0.01
	MB	0.75 ± 0.03	0.77 ± 0.02	0.76 ± 0.06	0.75 ± 0.02
	MBC	0.78 ± 0.01	0.78 ± 0.01	0.76 ± 0.04	0.75 ± 0.02
64	M	0.74 ± 0.04	0.73 ± 0.03	0.66 ± 0.07	0.68 ± 0.04
	MB	0.77 ± 0.03	0.78 ± 0.02	0.76 ± 0.10	0.74 ± 0.02
	MBC	0.75 ± 0.03	0.75 ± 0.01	0.74 ± 0.03	0.73 ± 0.02