Table 13.
A comparative study of the proposed method with the state-of-the-art models in terms of confirmed cases
The state-of-the-art models | The proposed model (SARIMA) | |||||
---|---|---|---|---|---|---|
Country | Metrics (RMSE/MAE) | Value | Country | Metrics (RMSE/MAE) | Value | |
ARIMA [17] | Spain | RMSE | 379.89 | Spain | RMSE | 0.68588 |
ARIMA [20] | India | MAE | 47.42 | India | MAE | 4.06187 |
Machine learning (Random Forest) [46] | worldwide | MAE | 368.821 | worldwide | MAE | 1.61697 |
Deep learning (LSTM) [47] | worldwide | RMSE | 30758 | worldwide | RMSE | 1.57643 |
Deep learning (LSTM) [48] | US | RMSE | 324.61 | US | RMSE | 1.25634 |