NDLI: A machine learning strategy for predicting march madness winners

Content Provider	IEEE Xplore Digital Library
Author	Gumm, J. Barrett, A. Gongzhu Hu
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Central Michigan Univ., Mount Pleasant, MI, USA (Gumm, J.; Barrett, A.; Gongzhu Hu)
Abstract	The Division I NCAA Men's Basketball Tournament is a popular sporting event held annually to determine the leagues National Champion. Over the past several years the betting scene surrounding the tournament has become arguably more popular than the tournament itself, drawing in fans who bet billions overall on its outcome. In this paper, we discuss the statistical challenges in correctly predicting winners in the tournament and present a machine learning strategy for predicting the games. The Kaggle Machine Learning March Mania Competition was used to test the effectiveness of the model by comparing it against other machine-learning-based models submitted to the competition. Overall, the project was considered successful as it scored in the top 15 percentile of all submissions.
Sponsorship	IEEE Comput.Soc.
Starting Page	1
Ending Page	6
File Size	137002
Page Count	6
File Format	PDF
ISBN	9781479986767
DOI	10.1109/SNPD.2015.7176206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-01
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Correlation Economic indicators NCAA Men's basketball tournament Kaggle Machine Learning contest predictive modeling Games Predictive models Prediction algorithms non-linear regression Indexes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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