{"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/venn-abers-predictors","title":"Venn-Abers predictors","arxiv_id":"1211.0025","date":"2012-10-31","proceeding":null,"authors":["Vladimir Vovk","Ivan Petej"],"abstract":"This paper continues study, both theoretical and empirical, of the method of\nVenn prediction, concentrating on binary prediction problems. Venn predictors\nproduce probability-type predictions for the labels of test objects which are\nguaranteed to be well calibrated under the standard assumption that the\nobservations are generated independently from the same distribution. We give a\nsimple formalization and proof of this property. We also introduce Venn-Abers\npredictors, a new class of Venn predictors based on the idea of isotonic\nregression, and report promising empirical results both for Venn-Abers\npredictors and for their more computationally efficient simplified version.","url_abs":"http://arxiv.org/abs/1211.0025v2","url_pdf":"http://arxiv.org/pdf/1211.0025v2.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":"venn-abers-predictors","repo_url":"https://github.com/ip200/venn-abers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1211.0025","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}