Table 1.
Models used for forecasting cumulative confirmed cases and their parameters.
| No. | Country | RNN model | Epochs | Hidden size | Number of layers | Learning rate | MSE | RMSE |
|---|---|---|---|---|---|---|---|---|
| 1 | USA | GRU | 5.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 2.96E+12 | 1.72E+06 |
| LSTM | 1.69E+03 | 3.00E+02 | 3.00E+00 | 1.00E-05 | 2.87E+12 | 1.69E+06 | ||
| 2 | Brazil | GRU | 3.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.86E+10 | 1.36E+05 |
| LSTM | 1.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.76E+10 | 1.33E+05 | ||
| 3 | India | GRU | 1.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 4.58E+08 | 2.14E+04 |
| LSTM | 1.80E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 5.57E+08 | 2.36E+04 | ||
| 4 | Russia | GRU | 1.00E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 8.79E+05 | 9.37E+02 |
| LSTM | 2.56E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.10E+06 | 1.05E+03 | ||
| 5 | South Africa | GRU | 1.52E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.08E+07 | 3.29E+03 |
| LSTM | 2.00E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 3.64E+07 | 6.03E+03 | ||
| 6 | Mexico | GRU | 5.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.60E+07 | 4.00E+03 |
| LSTM | 1.50E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 2.36E+07 | 4.86E+03 | ||
| 7 | Peru | GRU | 6.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 5.37E+07 | 7.33E+03 |
| LSTM | 7.00E+01 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.97E+07 | 4.44E+03 | ||
| 8 | Chile | GRU | 3.00E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 6.52E+06 | 2.55E+03 |
| LSTM | 1.30E+03 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.49E+06 | 1.22E+03 | ||
| 9 | UK | GRU | 2.50E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.77E+05 | 4.21E+02 |
| LSTM | 3.00E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 3.84E+05 | 6.91E+02 | ||
| 10 | Iran | GRU | 4.50E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 3.06E+05 | 5.52E+02 |
| LSTM | 7.05E+02 | 3.00E+02 | 2.00E+00 | 1.00E-05 | 1.78E+04 | 1.33E+02 |