A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Nae Bayes
- Title
- A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Nae Bayes
- Creator
- Bhalerao T.; Vijayalakshmi S.; Gokulakrishnan J.
- Description
- 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.
- Source
- Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 618-621.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- acquire; algorithms; Deeper Analysis; economy; Enhance; exception; IPL dataset; Machine learning; Special attention
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-166547436-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Bhalerao T.; Vijayalakshmi S.; Gokulakrishnan J., “A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Nae Bayes,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 28, 2025, https://archives.christuniversity.in/items/show/20098.