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. 2020 Oct 23;33(7):2929–2948. doi: 10.1007/s00521-020-05434-0

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