APOGEE red-giant stars spectroscopic age estimates

III/284) with a median statistical uncertainty of 17%. The ages were obtained with the supervised machine-learning technique XGBoost (Chen & Guestrin, 2016, arXiv:1603.02754), trained on a high-quality dataset of 3060 red-giant and red-clump stars with asteroseismic ages observed by both APOGEE and Kepler (Miglio et al., 2021A&A...645A..85M, Cat.

J/A+A/645/A85). Two sets of age estimates are delivered in this table: The first five columns contain the results of the fiducial XGBoost model (obtained with version 1.7.6 of the xgboost python package) mostly used in the accompanying paper. The final five columns use a XGBoost quantile regression (using version 2.0.0 of the xgboost python package).