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Table 5
Machine learning (M.L.) results of Teff and [Fe/H], their dispersion (Disp.), the mean absolute errors (M.A.E.) of the models, and the reference values (Ref.) for comparison.
| Star | Spec. | Res. | Ref. | M.L. | M.A.E. | Disp. | Ref. | M.L. | M.A.E. | Disp. |
|---|---|---|---|---|---|---|---|---|---|---|
| Teff | Teff | Teff | Teff | [Fe/H] | [Fe/H] | [Fe/H] | [Fe/H] | |||
| [K] | [K] | [K] | [K] | [dex] | [dex] | [dex] | [dex] | |||
| Gl643 | HARPS | 115 000 | 3102 | 3113 | 27 | 10 | −0.26 | −0.28 | 0.04 | 0.01 |
| Gl846 | UVES | 110 000 | 3682 | 3691 | 28 | 13 | −0.08 | −0.05 | 0.04 | 0.02 |
| Gl514 | CARMENES | 94 600 | 3574 | 3547 | 28 | 17 | −0.13 | −0.13 | 0.04 | 0.03 |
| Gl908 | SOPHIE | 75 000 | 3587 | 3580 | 28 | 18 | −0.38 | −0.35 | 0.04 | 0.03 |
| Gl674 | FEROS | 48 000 | 3284 | 3338 | 30 | 24 | −0.18 | −0.16 | 0.04 | 0.03 |
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