This paper presented the S&C Racing system that uses Support Vector Regression (SVR) to predict harness race finishes and analyzed it on fifteen months of data from Northfield Park. We found that our system outperforms the most common betting strategies of wagering on the favorites and the mathematical arbitrage Dr. Z system in five of the seven wager types tested. This work would suggest that an informational inequality exists within the harness racing market that is not apparent to domain experts.
"Data Mining the Harness Track and Predicting Outcomes,"
Journal of International Technology and Information Management: Vol. 22
, Article 6.
Available at: http://scholarworks.lib.csusb.edu/jitim/vol22/iss2/6
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