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

Table 7

MAE 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	118326.82	50614.35	83292.72	14470.19	13966.14	6129.43	12921.25	1787.4
Test 3	92206.67	373864.33	159047.67	33767.33	15383.67	25373	32482	5467.67
Train 7	210181.83	98095.02	159424.29	31352.4	14121.04	8610.34	14078.32	1799.26
Test 7	219605	819688.29	382687.57	94103.43	17714.57	19880.29	25214.43	8544.14
Train 14	411432.76	176243.54	296562.74	56438.12	18259.02	11183.94	24367.5	2139.05
Test 14	380742.29	1557960.64	787013.79	205029.5	16782.86	24695.79	36543.5	8752.71
Train 21	609247.27	245358.77	431184.05	80469.2	22295.56	12715.18	34615.07	2389.48
Test 21	527135.24	2260445.24	1210456.86	324242.62	18504.93	29095.67	41458	9037.81
Train 30	914462.41	345052.67	629787.46	113795.01	22851.02	14905.65	44442.16	3629.26
Test 30	712922.32	3288235.39	1799969.39	482712.19	20317.9	39667.35	41360.94	8159.19