CatBoost: gradient boosting with categorical features support

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📋 논문의 정보를 알려주세요.

• CatBoost: gradient boosting with categorical features support
• Anna Veronika Dorogush, Vasily Ershov, and Andrey Gulin
• arXiv
• 2018-10-24

📃 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.

🔎 어떤 논문인지 소개해주세요.

• GBM 관련 프레임웍들의 숙제인 Categorcial feature를 해결하는 방법을 적용한 CatBoost입니다.

🔑 핵심 키워드를 적어주세요.

• Caregorical feature, Gradient boosting

📎 URL

• https://arxiv.org/abs/1810.11363