Open Access
Table 5
Peak identification quality metrics for approximation models applied to the PLAsTiCC.
| Model | RMSE, days | MAE, days | RSE | RAE | MAPE, % |
|---|---|---|---|---|---|
| GP | 1.76 ± 0.07 | 1.22 ± 0.04 | 0.0057 ± 0.0002 | 0.0045 ± 0.0002 | 0.00202 ± 0.00006 |
| MLP (sklearn) | 1.67 ± 0.06 | 1.15 ± 0.04 | 0.0054 ± 0.0002 | 0.0042 ± 0.0002 | 0.00192 ± 0.00006 |
| MLP (pytorch) | 1.9 ± 0.1 | 1.26 ± 0.04 | 0.0061 ± 0.0004 | 0.0047 ± 0.0002 | 0.00210 ± 0.00007 |
| BNN | 1.99 ± 0.08 | 1.34 ± 0.04 | 0.0064 ± 0.0003 | 0.0049 ± 0.0002 | 0.00223 ± 0.00009 |
| NF | 2.17 ± 0.09 | 1.51 ± 0.05 | 0.0070 ± 0.0003 | 0.0056 ± 0.0002 | 0.00251 ± 0.00008 |
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