Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Nae Bayes Subject The topic of the resource acquire; algorithms; Deeper Analysis; economy; Enhance; exception; IPL dataset; Machine learning; Special attention Description An account of the resource Sports attracted a lot of people to watch various games all over the world. India is not an exception. Among various games, cricket has special attention. Cricket in India contributes to the Indian economy on a large scale. Cricket is also known for the broad amount of data gathered for each team, season, and player. Hence, cricket is a perfect domain to work on various data analysis and machine learning approaches to acquire useful insights and information. In this paper, algorithms were used to enhance the output of the team in a sports league, particularly, IPL (cricket). It reflects the performance of the team on a deeper analysis of the requirements of T20 cricket. 2022 IEEE. Creator An entity primarily responsible for making the resource Bhalerao T.; Vijayalakshmi S.; Gokulakrishnan J. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 618-621. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074063" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074063</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152190056&amp;doi=10.1109%2FICAC3N56670.2022.10074063&amp;partnerID=40&amp;md5=c8106ae0830071e49be1d1f6f11f3a7b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152190056&amp;doi=10.1109%2fICAC3N56670.2022.10074063&amp;partnerID=40&amp;md5=c8106ae0830071e49be1d1f6f11f3a7b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhalerao T., Christ (Deemed to Be University), Department of Data Science, Pune, India; Vijayalakshmi S., Christ (Deemed to Be University), Department of Data Science, Pune, India; Gokulakrishnan J., Christ (Deemed to Be University), Department of Data Science, Pune, India