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Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods Cover

Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods

International Journal of Computer Science in Sport
Volume 15 (2016): Issue 2 (December 2016)
By: C. Soto Valero  
Open Access
|Dec 2016

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DOI: https://doi.org/10.1515/ijcss-2016-0007 | Journal eISSN: 1684-4769
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Language: English
Page range: 91 - 112
Published on: Dec 17, 2016
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Major League Baseball,
Sabermetrics,
Data Mining,
Prediction,
Classification,
Regression
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2016 C. Soto Valero, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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