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Cricket Match Result Prediction

Author(s):

Vraj Chokshi , MSU

Keywords:

Supervised Machine Learning, Logistic Regression, Support Vector Machine, Decision Tree, Bayes Point Machine Binary Classification Model

Abstract

With the progression in innovation and in addition in sports, predicting the results of a match has turned out to be so basic. Cricket is one of the most popular and most watched team games in the world. We are predicting the result of a One Day (ODI) cricket matches using machine learning concepts such as supervised learning to predict the champs of the matches. We utilize career statistics and also the team performances such as batting and bowling performances in order to train the models. However, the unpredictable rules governing the game, the capacity of players and different parameters play an essential part in influencing the ultimate result of a cricket match. Therefore we are using supervised learning algorithms to predict the outcome of the game and it will help the coaches of the team to learn and analyse where actually the team is going wrong and the area of the improvement. So in this paper we are using four types of machine learning algorithms and as well as we are comparing with each other in order to get the best results.

Other Details

Paper ID: IJSRDV7I70062
Published in: Volume : 7, Issue : 7
Publication Date: 01/10/2019
Page(s): 119-121

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