Table 5.

AUC 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
		AUC
16	M	0.82 ± 0.01	0.82 ± 0.01	0.80 ± 0.04	0.80 ± 0.01
	MB	0.84 ± 0.01	0.84 ± 0.01	0.78 ± 0.02	0.80 ± 0.02
	MBC	0.84 ± 0.02	0.85 ± 0.00	0.82 ± 0.02	0.80 ± 0.01
32	M	0.82 ± 0.02	0.81 ± 0.01	0.75 ± 0.04	0.77 ± 0.01
	MB	0.82 ± 0.02	0.84 ± 0.01	0.76 ± 0.03	0.80 ± 0.01
	MBC	0.83 ± 0.02	0.84 ± 0.00	0.84 ± 0.01	0.81 ± 0.02
64	M	0.79 ± 0.03	0.76 ± 0.02	0.62 ± 0.07	0.71 ± 0.05
	MB	0.83 ± 0.02	0.83 ± 0.01	0.78 ± 0.06	0.78 ± 0.02
	MBC	0.82 ± 0.03	0.83 ± 0.01	0.77 ± 0.03	0.78 ± 0.02