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

Table 11

MAPE values of decision tree models for confirmed cases.

Forecast period (days)	Cumulative cases				Daily cases
	Germany	Japan	South Korea	Ukraine	Germany	Japan	South Korea	Ukraine
Train 3	0.00967	0.013254	0.021191	0.006507	0.356152	7.767514	0.28222	0.332541
Test 3	0.002969	0.028793	0.007956	0.008657	0.261771	0.140789	0.380797	0.265373
Train 7	0.017271	0.025857	0.039773	0.01404	0.380668	7.023082	0.318073	0.337635
Test 7	0.007039	0.060258	0.018863	0.023588	0.5067	0.097694	0.266316	0.2949
Train 14	0.033259	0.046418	0.070861	0.025124	0.550332	1.016977	0.477096	0.402219
Test 14	0.012129	0.10712	0.037762	0.049494	0.786634	0.128593	0.317757	0.261905
Train 21	0.048688	0.065957	0.098308	0.035699	0.753696	8.665087	0.740159	0.586648
Test 21	0.016697	0.146555	0.056531	0.075343	0.911067	0.151105	0.328267	0.258661
Train 30	0.071595	0.092106	0.13495	0.050189	1.020199	7.372852	1.175772	0.658837
Test 30	0.022424	0.196695	0.081206	0.107261	1.142982	3.224258	0.364767	0.263778