A Novel Approach to Predicting IPL Player Value and Score Using XGBoost and Ridge Regression-Reference-Cited by-同舟云学术

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A Novel Approach to Predicting IPL Player Value and Score Using XGBoost and Ridge Regression

Published:2023-12-14 Issue: Volume: Page:343-348
ISSN:
Container-title:2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
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Author:

M Sakthimohan¹,G Elizabeth Rani²,P Gnanapriya¹,M Jayanthi²,K Karthigadevi³,V Sanjeevi Kumar.⁴

Affiliation:

1. KalaignarKarunanidhi Institute of Technology,Department of ECE,Coimbatore,Tamil Nadu,India

2. KalaignarKarunanidhi Institute of Technology,Department of CSE,Coimbatore,Tamil Nādu,India

3. Kalasalingam Academy of Research and Education,Department of Computer Applications,Krishnankoil,Tamil Nādu,India

4. KGiSL Institute of Technology,Department of CSBS,Coimbatore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480719/10480720/10480773.pdf?arnumber=10480773

Reference22 articles.

1. A Multi-Level Ensemble Method for IPL Cricket Score Prediction;Jain

2. Predicting IPL T20 Cricket Scores Using Machine Learning Techniques;Sivasubramanian

3. IPL Cricket Match Score Prediction Using Machine Learning Algorithms;Reddy

4. IPL Player Value Prediction Using Machine Learning Algorithms;Jain

5. Predicting IPL Player Value Using Machine Learning Techniques;Kumar

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