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razhakhan / Predicting-T20-Cricket-Scores-using-Machine-Learning-An-Evaluation-of-Six-Different-Algorithms

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Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.

machine-learning randomforest xgboost lightgbm linearregression catboost lassoregression
  • Updated Jul 19, 2023
  • Jupyter Notebook

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