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

Table 10

RAE values of decision tree models for fatal cases.

Forecast period (days)	Cumulative cases				Daily cases
	Germany	Japan	South Korea	Ukraine	Germany	Japan	South Korea	Ukraine
Train 3	0.013429	0.016858	0.012715	0.025721	0.365092	0.533253	0.33507	0.346589
Test 3	1.671756	2.410864	2.669118	2.151188	0.35545	1.076923	2.9	0.401786
Train 7	0.024607	0.031779	0.025012	0.054875	0.386407	0.500952	0.315743	0.36852
Test 7	2.15945	1.811386	1.740921	2.056796	0.451888	0.579075	1.226496	0.707071
Train 14	0.047976	0.060438	0.047401	0.100102	0.556737	0.604513	0.433459	0.459151
Test 14	2.539474	1.736119	1.734947	1.948638	0.416003	0.591684	1.268421	0.582336
Train 21	0.071128	0.08851	0.069676	0.143488	0.591582	0.697237	0.590335	0.564496
Test 21	2.585315	1.707506	1.658565	1.822661	0.39501	0.577598	1.08697	0.652772
Train 30	0.1068	0.13015	0.100888	0.20558	0.944503	0.871579	0.740768	0.687041
Test 30	2.928104	1.708068	1.631034	1.726235	0.34411	0.681869	0.912318	0.795688