{"work":{"id":"d7241046-2695-4a41-89ab-c1e8619bee8c","openalex_id":null,"doi":null,"arxiv_id":"1810.11363","raw_key":null,"title":"CatBoost: gradient boosting with categorical features support","authors":null,"authors_text":"Dorogush, A","year":2018,"venue":"cs.LG","abstract":"In this paper we present CatBoost, a new open-sourced gradient boosting library that successfully handles categorical features and outperforms existing publicly available implementations of gradient boosting in terms of quality on a set of popular publicly available datasets. The library has a GPU implementation of learning algorithm and a CPU implementation of scoring algorithm, which are significantly faster than other gradient boosting libraries on ensembles of similar sizes.","external_url":"https://arxiv.org/abs/1810.11363","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-06-29T12:43:25.668283+00:00","pith_arxiv_id":"1810.11363","created_at":"2026-05-09T04:04:54.125682+00:00","updated_at":"2026-06-29T12:43:25.668283+00:00","title_quality_ok":true,"display_title":"CatBoost: gradient boosting with categorical features support","render_title":"CatBoost: gradient boosting with categorical features support"},"hub":{"state":{"work_id":"d7241046-2695-4a41-89ab-c1e8619bee8c","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":13,"external_cited_by_count":null,"distinct_field_count":7,"first_pith_cited_at":"2019-06-27T09:31:42+00:00","last_pith_cited_at":"2026-05-27T15:56:12+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-06-29T15:29:02.375706+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"method","n":2}],"polarity_counts":[{"context_polarity":"use_method","n":2}],"runs":{},"summary":{},"graph":{},"authors":[]}}