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

Table 15

RAE values of support vector regression models for confirmed cases.

Forecast period (days)	Cumulative cases				Daily cases
	Germany	Japan	South Korea	Ukraine	Germany	Japan	South Korea	Ukraine
Train 3	0.020578	0.014347	0.051229	0.010876	0.385339	0.269954	0.227337	0.249052
Test 3	0.533316	0.583329	0.404621	0.978625	0.274556	1.645081	0.369008	0.739826
Train 7	0.030785	0.026163	0.090661	0.020051	0.416373	0.35686	0.279196	0.32321
Test 7	0.167765	0.172721	0.090169	0.767667	0.246486	0.804955	1.062733	0.62577
Train 14	0.051604	0.04946	0.129533	0.047632	0.519036	0.492612	0.354557	0.523824
Test 14	0.178381	0.511014	0.175353	0.96603	0.230273	0.943323	1.281093	0.856766
Train 21	0.077373	0.077997	0.159507	0.0766	0.567586	0.416908	0.472549	0.529954
Test 21	0.12184	1.072314	0.387529	1.162875	0.236375	0.814444	1.18144	0.962439
Train 30	0.10922	0.100634	0.204023	0.152735	0.646846	0.494876	0.61158	0.578599
Test 30	0.129235	1.732956	0.841585	1.561756	0.331465	0.903673	1.068853	1.032478