Prediction of Batsman Performance in Cricket by using Machine Learning
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