CRICKET MATCH PREDICTION USING BAYE’S THEOREM

K. Annapoorneshwari Shetty, Premsai, Siddantha Rai

doi:10.25215/8119070771.22

CRICKET MATCH PREDICTION USING BAYE’S THEOREM

Authors

K. Annapoorneshwari Shetty, Premsai, Siddantha Rai

DOI:

#10.25215/8119070771.22

Keywords:

Baye’s Theorem, Predictive, Analysis, Probability, Decision trees, Linear regression, Sports Applications, Random forest regressor, k-nearest neighbour (KNN).

Abstract

In this discussion, we went over how the ODI, T20, and IPL matches help cricket teams succeed. Sports are the last thing to have a goal. The main factors determining whether a team will win the match are scoring and team strength. There is still further study required for some of the main ideas that are mentioned in the literature review. Some benefits include having a home field advantage and winning the coin toss for a specific match.

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Published

2023-07-07

How to Cite

K. Annapoorneshwari Shetty, Premsai, Siddantha Rai. (2023). CRICKET MATCH PREDICTION USING BAYE’S THEOREM. Redshine Archive, 2. https://doi.org/10.25215/8119070771.22

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Issue

Vol. 2 (2023): INFORMATION TECHNOLOGY & BIOINFORMATICS: INTERNATIONAL CONFERENCE ON ADVANCE IT, ENGINEERING AND MANAGEMENT - SACAIM-2022 (VOL 2)

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Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.