XGBoost
Work
Year: 2016
Type: preprint
Abstract: Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientis... more
Authors Tianqi Chen, Carlos Guestrin
Institution University of Washington
Cites: 31
Cited by: 9,843
Related to: 10
Citation percentile (by year/subfield): 99.98
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: bronze
Grant IDS 1258741, N000141010672