A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Naïve Bayes

Tushar J . Bhalerao, S. Vijayalakshmi, Gokulakrishnan J
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引用次数: 1

Abstract

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.
分数预测机器学习算法与增强Naïve贝叶斯算法的比较分析
体育吸引了世界各地许多人观看各种比赛。印度也不例外。在各种运动中,板球尤其引人注目。印度板球对印度经济做出了巨大贡献。板球也以为每个球队、赛季和球员收集大量数据而闻名。因此,板球是一个完美的领域,可以通过各种数据分析和机器学习方法获得有用的见解和信息。在本文中,算法被用来提高球队的输出在体育联赛,特别是,IPL(板球)。它反映了球队对T20板球的性能要求进行了更深入的分析。
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