{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/where-are-we-now-a-large-benchmark-study-of","title":"Where are we now? A large benchmark study of recent symbolic regression methods","arxiv_id":"1804.09331","date":"2018-04-25","proceeding":null,"authors":["Patryk Orzechowski","William La Cava","Jason H. Moore"],"abstract":"In this paper we provide a broad benchmarking of recent genetic programming\napproaches to symbolic regression in the context of state of the art machine\nlearning approaches. We use a set of nearly 100 regression benchmark problems\nculled from open source repositories across the web. We conduct a rigorous\nbenchmarking of four recent symbolic regression approaches as well as nine\nmachine learning approaches from scikit-learn. The results suggest that\nsymbolic regression performs strongly compared to state-of-the-art gradient\nboosting algorithms, although in terms of running times is among the slowest of\nthe available methodologies. We discuss the results in detail and point to\nfuture research directions that may allow symbolic regression to gain wider\nadoption in the machine learning community.","url_abs":"http://arxiv.org/abs/1804.09331v2","url_pdf":"http://arxiv.org/pdf/1804.09331v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"where-are-we-now-a-large-benchmark-study-of","repo_url":"https://github.com/EpistasisLab/regression-benchmark","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"GPL-3.0"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"symbolic-regression","task_name":"Symbolic Regression"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.09331","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}