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Analysis of Horse Races: Prediction of Winning Horses in Horse Races Using Statistical Models
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 Title & Authors
Analysis of Horse Races: Prediction of Winning Horses in Horse Races Using Statistical Models
Choe, Hyemin; Hwang, Nayoung; Hwang, Chankyoung; Song, Jongwoo;
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 Abstract
The Horse race industry has the largest proportion of the domestic legal gambling industry. However, there is limited statistical analysis on horse races versus other sports. We propose prediction models for winning horses in horse races using data mining techniques such as logistic regression, linear regression, and random forest. Horse races data are from the Korea Racing Authority and we use horse racing reports, information of racehorses, jockeys, and horse trainers. We consider two models based on ranks and time records. The analysis results show that prediction of ranks is affected by information on racehorses, number of wins of racehorses and jockeys. We place wagers for the last month of races based on our prediction models that produce serious profits.
 Keywords
horse race;linear regression;stepwise regression;random forest;logistic regression;important variables;
 Language
Korean
 Cited by
 References
1.
Breiman, L. (2001). Random forests, Machine Learning, 45, 5-32. crossref(new window)

2.
Hastie, T. J. and Pregibon, D. (1992). Generalized Linear Models, Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

3.
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 37, CRC press.

4.
Park, C., Kim, Y., Kim, J., Song, J. and Choi, H. (2011). Datamining using R, Kyowoo, Seoul.

5.
R Development Core Team (2010). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0. http://www.R-project.org

6.
Statistics Korea e-National indicators (2015). http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idxcd=1662

7.
The Korea Racing Authority (2014). http://www.kra.co.kr/main.do

8.
The National Gambling Control Commission (2015). http://static.ngcc.go.kr/user/index.jsp

9.
The National Gambling Control Commission (2014). http://www.ngcc.go.kr/Board/ReadView.do?idx=pds&page=1&no=9346

10.
Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics with S, Springer, New York.

11.
Yoo, S. and Park, H. (2000). The horse race winning probability via logistic regression, Korean Journal of Applied Statistics, 13, 35-44.