10.35940/ijeat.C6339.029320
https://zenodo.org/records/5592273
oai:zenodo.org:5592273
Chetan Kapadiya
Chetan Kapadiya
PG Student, Computer Engineering Department, SVBIT, Gandhinagar, Gujarat, India.
Ankit Shah
Ankit Shah
Head of Computer Engineering / Information Technology department, SVBIT Gandhinagar, Gujarat, India.
Kinjal Adhvaryu
Kinjal Adhvaryu
Principal, SVBIT, Gandhinagar, Gujarat, India.
Pratik Barot
Pratik Barot
Assistant Professor ,Computer Engineering Department, Government Engineering College, Gandhinagar, Gujarat, India,
Intelligent Cricket Team Selection by Predicting Individual Players' Performance using Efficient Machine Learning Technique
Zenodo
2020
Cricket, Performance Prediction, Machine Learning, Decision Tree, Random Forest
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Publisher
2020-02-29
eng
2249-8958
Creative Commons Attribution 4.0 International
In any game, selection of best players in a team plays vital role in overall team performance. The team selection in any sport is the key task to ensure good performance of the team. Players are selected based on different criteria. In game of cricket selection of players should consider parameters like players own performance, ground condition, weather forecasting, opposition strength and weakness etc. Machine learning can play vital role in players’ performance prediction. Machine learning uses historical data of team performance and past performance of individual players to predict overall performance of team. Prediction of individual player performance helps in team building process. Recently many researchers proposed model for prediction of player’s performance for a game of cricket. Researchers’ uses machine learning approach for prediction. However existing studies omits some vital features related to ground and weather in their study which have potential to make huge impact on player’s performance. We performed detailed study and literature survey to propose efficient performance prediction of players for game of cricket. Our model will help in best team selection and thus improves overall team performance.