Table 10.

Average correct rates and SDs in classifying chest CT images as COVID-19 positive/negative when Inception-v3 and each algorithm hyperparameter combination in Table 6 were used in five independent experimental runs

Model# experiment number	Dataset	Experimental runs
		1	2	3	4	5	Average	SD
Inception-v3#1	Training set	0.7418	0.7533	0.75	0.75	0.7484	0.7487	0.00425
	Validation set	0.7172	0.7475	0.7576	0.7374	0.7374	0.7394	0.01498
Inception-v3#2	Training set	0.6814	0.6699	0.683	0.6716	0.6716	0.6755	0.00618
	Validation set	0.7172	0.7071	0.7172	0.7071	0.7071	0.7111	0.00553
Inception-v3#3	Training set	0.9869	0.9869	0.9853	0.9869	0.982	0.9856	0.00213
	Validation set	0.8283	0.8485	0.8687	0.8485	0.8485	0.8485	0.01428
Inception-v3#4	Training set	0.5163	0.5196	0.5229	0.5147	0.5147	0.5176	0.00356
	Validation set	0.5556	0.5657	0.5859	0.5859	0.5859	0.5758	0.01428
Inception-v3#5	Training set	0.9118	0.8938	0.902	0.9003	0.9003	0.9016	0.00649
	Validation set	0.8182	0.8182	0.8283	0.7879	0.798	0.8101	0.0166
Inception-v3#6	Training set	0.8448	0.817	0.8301	0.8513	0.8513	0.8389	0.01499
	Validation set	0.798	0.7677	0.7677	0.7879	0.7879	0.7818	0.01355
Inception-v3#7	Training set	0.9869	0.9869	0.9918	0.9935	0.9853	0.9889	0.00355
	Validation set	0.8788	0.8788	0.8586	0.8687	0.8485	0.8667	0.01317