J/A+A/678/A158 APOGEE red-giant stars spectroscopic age estimates (Anders+ 2023) ================================================================================ Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc. Anders F., Gispert P., Ratcliffe B., Chiappini C., Minchev I., Nepal S., Queiroz A.B.A., Amarante J.A.S., Antoja T., Casali G., Casamiquela L., Khalatyan A., Miglio A., Perottoni H., Schultheis M. =2023A&A...678A.158A (SIMBAD/NED BibCode) ================================================================================ ADC_Keywords: Stars, giant ; Stars, ages ; Infrared sources Keywords: Galaxy: evolution - Galaxy: stellar content - methods: data analysis - methods: statistical - stars: abundances - stars: late-type Abstract: We tabulate spectroscopic stellar age estimates for 178825 red-giant stars observed by the APOGEE survey (Majewski et al., 2017AJ....154...94M, Cat. 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). Our age estimates constitute a useful database for studying the evolution of the Galactic disc. Description: We successfully use the XGBoost algorithm to accurately estimate spectroscopic ages for 178825 APOGEE DR17 red-giant stars located close to the red clump (2.2