Table 2: Mean absolute errors on the evaluation set of 19 000 spectra in the RR model (plotted in Fig. 5). The first line is for the full data set (training and evaluation data). The second and third are just for the evaluation sets. The third line is for a model which included the four photometric colours as additional model inputs (predictors).
Set PCs + $E_{\log ~T_{\rm eff}}$ $E_{\log ~g}$ $E_{\rm [Fe/H]}$

38 731 25+25 0.0090 0.2699 0.1339

19 000 25+25 0.0126 0.3644 0.1949

25+25 phot 0.0082 0.2791 0.1616

**Table 2:** Mean absolute errors on the evaluation set of 19 000 spectra in the RR model (plotted in Fig. 5). The first line is for the full data set (training and evaluation data). The second and third are just for the evaluation sets. The third line is for a model which included the four photometric colours as additional model inputs (predictors).
Set	PCs	+	$E_{\log ~T_{\rm eff}}$	$E_{\log ~g}$	$E_{\rm [Fe/H]}$
38 731	25+25		0.0090	0.2699	0.1339
19 000	25+25		0.0126	0.3644	0.1949
	25+25	phot	0.0082	0.2791	0.1616

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