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

Table 18

MAPE values of support vector regression models for fatal cases.

Forecast period (days)	Cumulative cases				Daily cases
	Germany	Japan	South Korea	Ukraine	Germany	Japan	South Korea	Ukraine
Train 3	0.003765	0.004802	0.006072	0.010939	4.416103	4.064632	0.857073	0.30425
Test 3	0.000701	0.005511	0.000817	0.000646	1.948793	0.222187	0.276933	0.2145
Train 7	0.006419	0.009178	0.015502	0.019093	4.343917	4.159286	0.956759	0.317696
Test 7	0.001539	0.013893	0.000854	0.000385	1.320155	0.123105	0.15837	0.142423
Train 14	0.011256	0.016954	0.043637	0.031653	4.861689	3.829763	0.911865	0.401937
Test 14	0.002398	0.031704	0.000878	0.001358	1.392047	0.15902	0.21682	0.173629
Train 21	0.016029	0.024938	0.070958	0.046336	4.903038	4.657209	0.497613	0.517992
Test 21	0.002987	0.050664	0.000807	0.003872	1.797445	0.419907	0.227797	0.229247
Train 30	0.02277	0.038143	0.10976	0.063765	5.883873	3.226588	0.881677	0.654389
Test 30	0.003373	0.079958	0.000763	0.00951	4.348637	0.284453	0.239565	0.267526