Table 5.

Comparison with the existing work on COVID-19 prediction using different models.

S/N	Algorithm	Accuracy	ME	RMSE	MAE	MPE	MAPE
1	ARIMAI (Proposed Work)	97.75	0.315	2.815	0.793	3.254	0.022
2	CNN [55]	83.4	0.991	3.975	2.008	0.505	0.165
3	Linear regression [56]	82.7	0.997	6.925	1.499	0.993	0.172
4	Polynomial regression [56]	69.1	0.759	3.983	2.851	0.939	0.309