Efficient approach in cricket team selection methodology using machine learning based logistic regression algorithm and comparing with random forest algorithm

This paper attempts to predict the top players in the current Indian test match squad using machine learning methods, and the selection is entirely dependent on the player’s efficiency in previous international matches. Methods and materials: Machine learning algorithms such as Logistic Regression and Random Forest are used for prediction of the best team players. The total number of samples is 40 collected from espncricinfo.com. Results: As opposed to the Random Forest algorithm (70 %), the Logistic Regression Algorithm has a higher accuracy (85%) in predicting the squad. Conclusion: Based on the findings, the Logistic Regression Algorithm is slightly more accurate than the Random Forest Algorithm in picking the correct team.