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Machine Learning for T20 Cricket Talent Identification by yugsakhareliya15 is a document available to read on EtoBox.

What is Machine Learning for T20 Cricket Talent Identification about?

This MSc research project by Arkoprovo Sarkar focuses on identifying and selecting rising performers in T20 cricket using machine learning algorithms, specifically Random Forest and Naive Bayes. The study aims to predict the performance of players aged 20 to 30 based on historical statistics, highlighting the importance of effective player recruitment in cricket. Results indicate that the Random Forest Classifier is the most accurate model for predicting runs scored and wickets taken by players.

Author

yugsakhareliya15

Language

EN