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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: PREDICTIVE ANALYSIS OF CRICKET TOSS BY USING MACHINE LEARNING
Authors Name: B.SUJATHA , K.MAHESH BABU , CH.PARVATHINADH CHOWDARY , G.UDAYA KEERTHI , 5K.GOPI CHAND
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IJRTI_182844
Published Paper Id: IJRTI2206248
Published In: Volume 7 Issue 6, June-2022
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Abstract: 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.
Keywords: neural network, multivariate regression, neural network, supervised learning, naive bayes classification, cricket prediction applications
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID: IJRTI2206248
Registration ID:182844
Published In: Volume 7 Issue 6, June-2022
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Page No: 1650 - 1655
Country: -, -, -
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206248
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206248
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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