Abstract
Many different factors influence the outcome of a cricket match. This paper presents the prospect of applying machine learning algorithms in predicting the outcome of an international cricket match. This study has two goals - identifying influential features that affects the outcome of a cricket match and predicting the outcome of a cricket match using machine learning algorithms. To achieve the objectives, feature selection algorithm Recursive Feature Elimination and machine learning algorithms - ZeroR, Decision Tree, Random Forest and XGBoost have been applied. To evaluate the performance of the models, dataset containing international ODI and T20 cricket matches from 2004–2018 has been used. An accuracy of 85.48% has been achieved by applying XGBoost algorithm on the test dataset.
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