Open Access
Table B.1
Additional accuracy diagnostics.
| Dataset | Arch | mLAE (dex) | LAE99 (dex) | LAE100 (dex) | Temp. LAE (dex) |
|---|---|---|---|---|---|
| Primordial | MON | 0.343 | 2.47 | 6.24 | 0.126 |
| FCNN | 0.094 | 0.693 | 3.47 | 0.030 | |
| LNODE | 0.661 | 3.04 | 6.88 | 0.203 | |
| LP | 0.843 | 3.35 | 7.07 | 0.27 | |
| Primordial | MON | 0.613 | 5.96 | 18.5 | 0.126 |
| Parametric | FCNN | 0.259 | 1.74 | 14.5 | 0.060 |
| LNODE | 0.693 | 3.32 | 14.8 | 0.149 | |
| LP | 0.743 | 3.43 | 14.2 | 0.17 | |
| Cloud | MON | 0.034 | 0.326 | 6.36 | 0.008 |
| FCNN | 0.035 | 0.384 | 4.33 | 0.005 | |
| LNODE | 1.92 | 4.55 | 8.64 | 0.993 | |
| LP | 1.64 | 4.70 | 8.36 | 0.497 | |
| Cloud | MON | 0.121 | 0.831 | 9.43 | 0.017 |
| Parametric | FCNN | 0.244 | 2.80 | 16.9 | 0.019 |
| LNODE | 1.51 | 4.80 | 14.7 | 0.253 | |
| LP | 1.37 | 4.51 | 13.5 | 0.274 | |
Notes. In addition to mLAE and LAE99, we report the maximum log-space absolute error (LAE100) and the temperature-only absolute error (Temp. LAE). Best values per dataset are shown in bold.
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