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A single over can completely alter the course of a cricket match, especially in the Twenty-20 format. The IPL is watched by millions of fans, making it a real-world challenge to create a model that can forecast the results of its games. Finally, a dataset was built to forecast each team's likelihood of winning and losing as well as its success as a team. Other variables that affect the team's performance include the outcome of the coin toss, the location of the game, the city, the pitch's condition, and the weather. The outcome of the coin toss has a big impact on how successful a team is. Therefore, by applying a machine learning algorithm and utilizing the outcome of the coin toss as a criterion, we can forecast the likelihood that each side will win. We are using Navies Bayes to train the model for this.
"PREDICTIVE ANALYSIS OF CRICKET TOSS BY USING MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1650 - 1655, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206248.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator