Match winning prediction using machine learning

Match winning prediction using machine learning
Author(s):
Rushikesh bhor, Ajay Jagdale, Shubham Pisal, Rohit Korke
Keywords:
Naïve Bayes Classification, Euler's Strength Formula, Cricket Prediction, Supervised Learning, KNIME Tool, Cricket prediction, sports analytics, multivariate regression, neural network ,Ensemble technique.
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.
Article Details
Unique Paper ID: 153643 Publication Volume & Issue: Volume 8, Issue 8 Page(s): 148 - 152
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org