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@article{153643,
        author = {Rushikesh bhor and Ajay Jagdale and Shubham Pisal and Rohit Korke},
        title = {Match winning prediction using machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {148-152},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153643},
        abstract = {In india the game of cricket is not nearly a game but a religion which is followed and loved mustafas as there are multiple format in this game T20 format is most popular one of it is very difficult who is win the game until the last ball is bolde so we pounded why not develop a machine learning model winning a cricket match multiple factor impact the result of match the ground condition  past performance records at the venue from of a particular player and team etc. this paper stresses on the key factor impact of the master and suggest regression model which gives the best prediction.},
        keywords = {Naïve Bayes Classification, Euler's Strength Formula, Cricket Prediction, Supervised Learning, KNIME Tool, Cricket prediction, sports analytics, multivariate regression, neural network ,Ensemble technique.},
        month = {},
        }