Table 3.

Performance evaluation of the prediction algorithms (confirmed cases)

Country	Methods	Predict days
		1-day ahead		3-day ahead		5-day ahead		10-day ahead		15-day ahead
		MAPE	RMSE	MAPE	RMSE	MAPE	RMSE	MAPE	RMSE	MAPE	RMSE
Worldwide	LR	7.22	2092.62	6.56	2102.11	6.01	2162.48	6.86	2189.33	7.08	2199.49
	SVR	3.65	465.50	6.63	483.35	3.18	528.18	3.56	546.71	3.93	596.33
	RFR	6.80	1762.12	6.43	1792.36	5.39	1820.11	6.44	1840.24	5.40	1863.75
	LSTM	2.06	293.96	2.86	324.73	2.18	366.16	2.66	411.32	2.91	460.18
	MTGP (Proposed)	1.16	122.97	1.27	166.18	1.15	206.23	1.45	286.36	1.48	331.27
China	LR	3.5	688.21	3.57	713.79	3.81	723.53	3.63	774.18	3.51	798.90
	SVR	1.50	220.92	1.56	241.42	1.78	285.16	1.75	334.94	1.83	359.89
	RFR	2.60	457.70	2.59	461.93	2.69	512.35	2.80	551.37	2.90	595.40
	LSTM	1.10	178.93	1.19	198.24	1.28	212.75	1.31	241.13	1.37	256.5
	MTGP (Proposed)	0.70	119.84	0.82	129.81	0.85	139.10	0.88	148.86	0.92	154.74
India	LR	6.40	2125.89	6.77	2151.64	6.98	2175.23	7.32	2267.69	7.50	2297.94
	SVR	3.72	537.20	3.80	557.08	4.27	582.32	4.38	608.1	4.54	619.73
	RFR	5.29	1837.49	5.54	1873.55	5.97	1908.22	6.07	1958.13	6.39	2060.97
	LSTM	2.91	367.36	3.09	389.50	3.45	407.83	3.59	435.97	3.65	440.86
	MTGP (Proposed)	2.10	197.35	2.38	222.13	2.54	232.85	2.74	262.92	2.77	280.19
Italy	LR	7.25	1706.76	7.43	1754.17	7.59	1782.82	7.65	1805.70	7.97	1822.05
	SVR	2.93	393.16	3.14	405.75	3.50	425.67	3.68	449.53	3.83	486.87
	RFR	5.46	1542.48	5.49	1584.83	5.7	1604.12	5.95	1659.67	6.03	1665.71
	LSTM	2.11	287.50	2.20	297.13	2.53	318.87	2.75	337.5	2.92	376.14
	MTGP (Proposed)	1.27	182.38	1.42	190.13	1.65	215.73	1.74	225.51	1.88	257.24
USA	LR	7.21	2033.71	7.69	2070.22	7.87	2190.84	8.18	2250.66	8.36	2183.56
	SVR	3.48	408.4	3.84	467.32	3.97	483.36	4.08	497.20	4.21	513.02
	RFR	6.05	1679.66	6.32	1772.70	6.57	1785.79	6.71	1862.87	6.95	1894.36
	LSTM	2.80	302.64	3.05	336.47	3.19	360.12	3.31	378.43	3.45	395.50
	MTGP (Proposed)	1.89	196.85	2.07	203.79	2.35	235.01	2.59	258.50	2.65	274.12