CatBoost: unbiased boosting with categorical features

NeurIPS 2018 Liudmila ProkhorenkovaGleb GusevAleksandr VorobevAnna Veronika DorogushAndrey Gulin

This paper presents the key algorithmic techniques behind CatBoost, a new gradient boosting toolkit. Their combination leads to CatBoost outperforming other publicly available boosting implementations in terms of quality on a variety of datasets... (read more)

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