Research Article
Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care
Table 6
Hyperparameter estimation of SIR-F model.
| Sl. No | Start | End | ODE | Rho | Sigma | Rt | 1/beta (day) | 1/gamma (day) | RMSLE | Trials | Theta | Kappa | Alpha1 | 1/alpha2 (day) |
| 1st | 06 May 2020 | 12 May 2020 | SIR-F | 0.06916 | 0.04864 | 1.41 | 14 | 20 | 0.02435 | 234 | 0.00089 | 0.00036 | 0.001 | 2748 | 2nd | 13 May 2020 | 23 May 2020 | SIR-F | 0.08907 | 0.06946 | 1.28 | 11 | 14 | 0.06279 | 164 | 0.00186 | 0.00018 | 0.002 | 5444 | 3rd | 24 May 2020 | 30 May 2020 | SIR-F | 0.06831 | 0.10052 | 0.67 | 14 | 9 | 0.03131 | 158 | 0.00113 | 0.00065 | 0.001 | 1529 | 4th | 31 May 2020 | 10 Jun 2020 | SIR-F | 0.09483 | 0.05649 | 1.65 | 10 | 17 | 0.08880 | 162 | 0.01801 | 0.00002 | 0.018 | 47464 |
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