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CricTion

Evaluation of different prediction models like Logistic Regression, SVM and Random Forest for in-play forecasting of Cricket ODI matches. Aim of the project is to predict which team is going to win at any instance of the match. SVM Model attained the accuracy of around 75%. Still evaluating Logistic Regression and Random Forest model.

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Prediction model for the outcomes of Cricket Matches using machine learning techniques.

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