{"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/performance-evaluation-of-machine-learning-3","title":"Performance evaluation of Machine learning algorithms in Biomedical Document Classification","arxiv_id":null,"date":"2020-05-13","proceeding":"journal 2020 5","authors":["Bichitrananda Behera","G.Kumaravelan"],"abstract":"Document classification is a prevalent task in Natural Language Processing (NLP) with a broad range of applications in the biomedical domain. In biomedical engineering categorization of biomedical literature into predefined categories becomes a cumbersome task. Hence, building an automatic document classifier using Machine Learning (ML) algorithms for the biomedical databases emerges as a significant task among the scientific community. In addition, empirical evaluation of these state-of-the-art classifiers for biomedical document categorization also becomes a thrust area of research. Hence, this paper examines the deployment of the various forefront ML algorithms in automatic classification of benchmark biomedical datasets like Bio Creative Corpus III, Farm-Ads, and TREC 2006 genetics Track. Finally, the performance measures of the ML classifiers have been evaluated through standard classification metrics like accuracy, precision, recall, and f1-measure.","url_abs":"http://sersc.org/journals/index.php/IJAST/article/view/15054","url_pdf":"http://sersc.org/journals/index.php/IJAST/article/view/15054/7637","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":"performance-evaluation-of-machine-learning-3","repo_url":"https://github.com/Bichitrananda/Performance-evaluation-of-Machine-learning-algorithms-in-Biomedical-Document-Classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"document-classification","task_name":"Document Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}