{"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/pitfalls-and-best-practices-in-algorithm","title":"Pitfalls and Best Practices in Algorithm Configuration","arxiv_id":"1705.06058","date":"2017-05-17","proceeding":null,"authors":["Katharina Eggensperger","Marius Lindauer","Frank Hutter"],"abstract":"Good parameter settings are crucial to achieve high performance in many areas\nof artificial intelligence (AI), such as propositional satisfiability solving,\nAI planning, scheduling, and machine learning (in particular deep learning).\nAutomated algorithm configuration methods have recently received much attention\nin the AI community since they replace tedious, irreproducible and error-prone\nmanual parameter tuning and can lead to new state-of-the-art performance.\nHowever, practical applications of algorithm configuration are prone to several\n(often subtle) pitfalls in the experimental design that can render the\nprocedure ineffective. We identify several common issues and propose best\npractices for avoiding them. As one possibility for automatically handling as\nmany of these as possible, we also propose a tool called GenericWrapper4AC.","url_abs":"http://arxiv.org/abs/1705.06058v3","url_pdf":"http://arxiv.org/pdf/1705.06058v3.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":"pitfalls-and-best-practices-in-algorithm","repo_url":"https://github.com/mlindauer/GenericWrapper4AC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"pitfalls-and-best-practices-in-algorithm","repo_url":"https://github.com/automl/GenericWrapper4AC","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"experimental-design","task_name":"Experimental Design"},{"task_slug":"scheduling","task_name":"Scheduling"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1705.06058","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}