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

Table 17

MAPE 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	0.01081	0.00761	0.037698	0.002576	0.428747	0.834929	0.26526	0.207072
Test 3	0.000968	0.005581	0.001588	0.00378	0.266631	0.110273	0.136966	0.156381
Train 7	0.016709	0.014585	0.06877	0.004817	0.475477	0.706441	0.422481	0.271758
Test 7	0.00059	0.005033	0.000865	0.010244	0.179739	0.087962	0.172116	0.168697
Train 14	0.029249	0.029065	0.103574	0.011468	0.655775	0.829557	0.594183	0.414621
Test 14	0.000927	0.025298	0.003399	0.025782	0.239441	0.109741	0.220938	0.216823
Train 21	0.04544	0.052855	0.13259	0.018537	0.803028	0.870909	0.839054	0.526918
Test 21	0.000895	0.07172	0.011317	0.047973	0.260429	0.107378	0.242646	0.23299
Train 30	0.063497	0.067262	0.176482	0.036429	0.946648	0.784371	0.993964	0.631374
Test 30	0.001233	0.157201	0.034564	0.086736	0.342491	0.288011	0.261809	0.268311