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

Table 12

MAPE 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	0.002234	0.005224	0.011059	0.008466	1.051796	5.287666	1.912357	0.398852
Test 3	0.000997	0.005873	0.001607	0.002224	0.354808	0.1715	0.478632	0.106842
Train 7	0.004101	0.009886	0.021461	0.01804	1.051796	5.526710	5.737070	0.419804
Test 7	0.002166	0.015232	0.004348	0.00512	0.259721	0.138082	0.418675	0.150069
Train 14	0.007975	0.018619	0.039748	0.032437	1.051796	6.683686	2.868535	0.582338
Test 14	0.003567	0.034589	0.01004	0.0103	0.236864	0.158846	0.456952	0.145728
Train 21	0.011804	0.027272	0.056557	0.046043	1.338650	6.989663	9.561783	0.783502
Test 21	0.004658	0.054933	0.016894	0.016401	0.293422	3.838783	0.383957	0.173759
Train 30	0.01766	0.039383	0.079718	0.065041	1.061358	7.850224	3.824713	0.698311
Test 30	0.005699	0.085935	0.028394	0.026349	0.581109	2.600466	0.321396	0.221548