Abstract
AbstractIPL win prediction using machine learning model predicts the success or loss of the Cricket match, most exciting game that reached the heart of everyone in the world. Building up a model for forecasting the result of matches is a genuine issue in case of Indian Premier League (IPL). A cricket match focuses on different elements, and in this work, the variables which essentially impact the outcome of a Twenty20 cricket match are identified. Every player’s performance in the field is considered to discover the general weight (relative strength) of the group. A multivariable linear regression algorithm is used for predicting the outcome of IPL match. A dataset is trained based on the recognized five factors like points, win: lose ratio, last three matches, last match and net run rate, which in turn impact the outcome of an IPL match. In this work, multivariable linear regression algorithm produces better results than Linear Regression based on performance metrics like Mean Square Error (MSE), Root Mean Square Error (RMSE) and R2 Score.KeywordsMachine learningMultiple linear regressionLinear regressionSport analytics
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