Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
Journal Home Volume Issue |
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Issue |
Volume-9,Issue-4 ( Apr, 2022 ) | |||||||||
Paper Title |
Prediction of Batsman Performance in Cricket by using Machine Learning | |||||||||
Author Name |
Rameshwari Lokhande, R. N. Awale, Sneha Ghorpade | |||||||||
Affilition |
1Research Scholar, Veermata Jijabai Technological Institute, Mumbai, India 2Professor, Veermata Jijabai Technological Institute, Mumbai, India 3Research Scholar, Veermata Jijabai Technological Institute, Mumbai, India | |||||||||
Pages |
1-4 | |||||||||
Abstract |
Abstract - Initially in a player's innings, batting is more tough, but becomes easier as the player becomes more comfortable with the conditions, according to cricket expertise. Develop a model to forecast batsman performance by using his past performance in one-day international matches against a certain team and on a specific venue in this work. Machine learning methods such as XG Boost, Random Forest classifier, and support vector classifier are compared in this model. Keywords - Batsman Performance Prediction, Cricket, Machine Learning Techniques | |||||||||
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