{"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/vine-visualizing-statistical-interactions-in","title":"VINE: Visualizing Statistical Interactions in Black Box Models","arxiv_id":"1904.00561","date":"2019-04-01","proceeding":null,"authors":["Matthew Britton"],"abstract":"As machine learning becomes more pervasive, there is an urgent need for\ninterpretable explanations of predictive models. Prior work has developed\neffective methods for visualizing global model behavior, as well as generating\nlocal (instance-specific) explanations. However, relatively little work has\naddressed regional explanations - how groups of similar instances behave in a\ncomplex model, and the related issue of visualizing statistical feature\ninteractions. The lack of utilities available for these analytical needs\nhinders the development of models that are mission-critical, transparent, and\nalign with social goals. We present VINE (Visual INteraction Effects), a novel\nalgorithm to extract and visualize statistical interaction effects in black box\nmodels. We also present a novel evaluation metric for visualizations in the\ninterpretable ML space.","url_abs":"http://arxiv.org/abs/1904.00561v1","url_pdf":"http://arxiv.org/pdf/1904.00561v1.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":"vine-visualizing-statistical-interactions-in","repo_url":"https://github.com/MattJBritton/VINE","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.00561","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}