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Table 7
Machine learning (M.L.) results of Teff and [Fe/H] after injecting uncertainties with Gaussian distributions of 100 K and 0.17 dex in the parameters of the training HARPS datasets, 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 | 3126 | 65 | 60 | −0.26 | −0.29 | 0.10 | 0.10 |
| Gl846 | UVES | 110 000 | 3682 | 3678 | 68 | 109 | −0.08 | −0.06 | 0.10 | 0.18 |
| Gl514 | CARMENES | 94 600 | 3574 | 3545 | 77 | 113 | −0.13 | −0.13 | 0.12 | 0.19 |
| Gl908 | SOPHIE | 75 000 | 3587 | 3585 | 78 | 120 | −0.38 | −0.36 | 0.13 | 0.21 |
| Gl674 | FEROS | 48 000 | 3284 | 3324 | 80 | 138 | −0.18 | −0.15 | 0.13 | 0.22 |
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