Predicting stellar rotation periods using XGBoost | Astronomy & Astrophysics (A&A)

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Table 4

Quality assessment of the XGBoost models generated during iterations 1 and 2.

	Iteration 1								Iteration 2

Assessment	DS0	DS1	DS2	DS3	DS4	DS5	DS6	DS7	DS0	DS1	DS2	DS3	DS4	DS5	DS6	DS7
m etric	170	155	146	146	146	28	28	28	170	155	146	146	146	28	28	28
µ_err (p_rot)	0.0535	0.0796	0.0898	0.0617	0.0425	0.0549	0.0452	0.0760	0.0423	0.0775	0.0849	0.0607	0.0424	0.0560	0.0458	0.0722
µ_err (p_rot)	0.0364	0.0549	0.0556	0.0475	0.0409	0.0480	0.0427	0.0532	0.0300	0.0549	0.0528	0.0463	0.0405	0.0489	0.0425	0.0499
acc₁₀	0.923	0.859	0.854	0.889	0.896	0.884	0.892	0.861	0.931	0.861	0.868	0.897	0.896	0.884	0.895	0.873
RMSE (train/test)	0.872	0.741	0.686	0.551	0.619	0.629	0.584	0.979	0.547	0.752	0.574	0.467	0.511	0.590	0.393	0.650
	2.22	2.66	2.84	2.13	2.08	2.18	2.307	2.69	2.10	2.66	2.84	2.09	2.10	2.17	2.33	2.65
MAE (train/test)	0.377	0.452	0.425	0.339	0.384	0.378	0.357	0.575	0.241	0.453	0.351	0.289	0.321	0.345	0.251	0.395
	0.803	1.27	1.34	1.03	1.07	1.08	1.13	1.28	0.719	1.29	1.28	0.995	1.07	1.08	1.12	1.22
$R_{a d j}^{2}$ ${\bf{R}}_{{\bf{adj}}}^2$ (test)	0.963	0.947	0.942	0.955	0.948	0.952	0.938	0.943	0.967	0.947	0.942	0.957	0.948	0.953	0.937	0.945

Notes. All quality measures are presented with three significant figures. The header indicates the number of predictors in each data set. The first two rows show the mean absolute value of the relative residuals measured on the period and frequency regimes; the next row corresponds to the interval-based accuracy defined in Sect. 3.3, with a width of 10% of the reference values; the last three rows show the RMSE and the MAE days, both computed on the training and testing sets, and the adjusted coefficient of determination (calculated on the testing set). The best results for each metric (except for RMSE and MAE) are shown in bold.

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