Open Access
Table 4
Peak identification quality metrics for approximation models applied to the PLAsTiCC.
| Model | RMSE, days | MAE, days | RSE | RAE | MAPE, % |
|---|---|---|---|---|---|
| GP | 3.14 ± 0.09 | 2.04 ± 0.04 | 0.0102 ± 0.0003 | 0.0075 ± 0.0002 | 0.0034 ± 0.0001 |
| MLP (sklearn) | 4.2 ± 0.1 | 2.67 ± 0.06 | 0.0136 ± 0.0003 | 0.0098 ± 0.0003 | 0.0044 ± 0.0001 |
| MLP (pytorch) | 5.4 ± 0.1 | 3.61 ± 0.07 | 0.0174 ± 0.0004 | 0.0133 ± 0.0003 | 0.0060 ± 0.0001 |
| BNN | 6.1 ± 0.1 | 4.39 ± 0.08 | 0.0199 ± 0.0004 | 0.0162 ± 0.0004 | 0.0073 ± 0.0001 |
| NF | 5.8 ± 0.1 | 3.95 ± 0.08 | 0.0188 ± 0.0004 | 0.0146 ± 0.0004 | 0.0066 ± 0.0001 |
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