TABLE 2.

Forecasting accuracy measures for the cumulative confirmed cases and deaths in the countries where complete lockdown was imposed

Country	Hubei (China)			Iran			India
Models	MAPE	MAE	RMSE	MAPE	MAE	RMSE	MAPE	MAE	RMSE
Daily cumulative number of confirmed cases
PR	32.32	22,854.48	25,854.48	5.78	25,669.04	29,622.75	2.55	154,437.44	193,090.93
SVR	0.02	10.80	10.89	17.34	75,997.33	77,097.60	81.43	4,736,407.58	4,743,009.46
DT	0.00	0.00	0.00	5.21	23,112.84	26,477.11	10.08	601,536.69	677,737.28
GBR	0.007	0.27	0.52	5.26	23,316.20	26,654.81	10.10	602,666.34	678,740.12
RF	0.00	0.00	0.00	5.51	24,420.93	27,626.36	10.85	646,264.90	717,732.36
KNN	0.00	0.00	0.00	5.53	24,520.34	27,714.27	10.91	649,748.69	720,870.85
Holt winter	0.0002	0.018	0.019	0.29	1,329.28	1,640.21	0.44	26,939.18	33,528.18
ARIMA	0.40	273.73	335.69	0.75	3,355.12	4,079.23	1.61	97,391.75	119,710.00
SARIMA	0.01	10.8	0.007	0.81	3,638.89	4,365.41	1.32	79,729.27	98,717.20
Daily cumulative number of deaths
PR	37.40	1,687.79	1981.23	4.88	1,245.73	1,534.01	0.93	868.14	908.25
SVR	0.06	2.81	2.81	34.55	8,675.00	8,740.14	6.78	6,325.34	6,625.19
DT	0.00	0.00	0.00	4.84	1,230.38	1,412.56	8.31	7,825.23	8,810.17
GBR	0.007	0.03	0.03	4.88	1,240.93	1,421.76	8.33	7,852.31	8,834.23
RF	0.00	0.00	0.00	5.15	1,309.80	1,482.25	8.90	8,372.49	9,299.65
KNN	0.00	0.00	0.00	5.19	1,318.38	1,489.84	8.94	8,412.23	9,335.44
Holt winter	0.00002	0.00009	0.00009	0.24	60.78	65.94	0.40	387.29	504.58
ARIMA	2.87	129.65	148.38	0.12	30.28	33.31	0.55	531.91	699.18
SARIMA	0.00007	0.0006	0.0007	0.09	22.65	25.87	0.47	452.77	602.94

Three model values were bolded due to those provided best results than other.