{"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/bayes-metaclassifier-and-soft-confusion","title":"Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classification","arxiv_id":"1901.08827","date":"2019-01-25","proceeding":null,"authors":["Pawel Trajdos","Marcin Majak"],"abstract":"The aim of this paper was to compare soft confusion matrix approach and Bayes\nmetaclassifier under the multi-label classification framework. Although the\nmethods were successfully applied under the multi-label classification\nframework, they have not been compared directly thus far. Such comparison is of\nvital importance because both methods are quite similar as they are both based\non the concept of randomized reference classifier. Since both algorithms were\ndesigned to deal with single-label problems, they are combined with the\nproblem-transformation approach to multi-label classification. Present study\nincluded 29 benchmark datasets and four different base classifiers. The\nalgorithms were compared in terms of 11 quality criteria and the results were\nsubjected to statistical analysis.","url_abs":"http://arxiv.org/abs/1901.08827v1","url_pdf":"http://arxiv.org/pdf/1901.08827v1.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":"bayes-metaclassifier-and-soft-confusion","repo_url":"https://github.com/ptrajdos/rrcBasedClassifiers","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}