Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models

Table 5

MAPE values of logistic regression models for confirmed cases.

Forecast period (days)	Cumulative cases				Daily cases
	Germany	Japan	South Korea	Ukraine	Germany	Japan	South Korea	Ukraine
Train 3	0.085625	0.082203	0.032775	0.022732	1.094825	2.063729	4.719072	3.102245
Test 3	0.0249	0.12132	0.007956	0.008657	0.514282	0.175681	0.157631	0.761792
Train 7	0.109693	0.118866	0.097656	0.055901	0.975737	1.726743	3.959241	3.220471
Test 7	0.031743	0.211901	0.018863	0.023588	0.51773	0.114646	0.20854	0.612907
Train 14	0.135223	0.140357	0.186165	0.095634	0.8972	1.279357	3.639863	3.812503
Test 14	0.037776	0.230585	0.076686	0.067183	0.474387	0.13922	0.279167	0.542086
Train 21	0.170498	0.158015	0.233285	0.113069	1.149452	1.549936	3.975037	4.335126
Test 21	0.042581	0.251713	0.10385	0.098062	0.479235	0.155378	0.312001	0.483003
Train 30	0.166786	0.190446	0.283616	0.133828	1.136176	1.408250	4.407955	4.867122
Test 30	0.048385	0.2997	0.132413	0.126256	0.587006	3.224258	0.276267	0.383016