{"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/survey-of-resampling-techniques-for-improving","title":"Survey of resampling techniques for improving classification performance in unbalanced datasets","arxiv_id":"1608.06048","date":"2016-08-22","proceeding":null,"authors":["Ajinkya More"],"abstract":"A number of classification problems need to deal with data imbalance between\nclasses. Often it is desired to have a high recall on the minority class while\nmaintaining a high precision on the majority class. In this paper, we review a\nnumber of resampling techniques proposed in literature to handle unbalanced\ndatasets and study their effect on classification performance.","url_abs":"http://arxiv.org/abs/1608.06048v1","url_pdf":"http://arxiv.org/pdf/1608.06048v1.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":"survey-of-resampling-techniques-for-improving","repo_url":"https://github.com/nicklimmm/movie-analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"survey-of-resampling-techniques-for-improving","repo_url":"https://github.com/wpriyadarshani/Resampling_Techniques","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1608.06048","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}