Using Random Forests and Simulated Annealing to Predict Probabilities of Election to the Baseball Hall of Fame
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DOI: 10.2202/1559-0410.1245
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Cited by:
- Lock Dennis & Nettleton Dan, 2014. "Using random forests to estimate win probability before each play of an NFL game," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 197-205, June.
- Hamrick Jeff & Rasp John, 2011. "Using Local Correlation to Explain Success in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-29, October.
- Mills Brian M. & Salaga Steven, 2011. "Using Tree Ensembles to Analyze National Baseball Hall of Fame Voting Patterns: An Application to Discrimination in BBWAA Voting," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-32, October.
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Keywords
baseball; Hall of Fame; machine learning; random forests; simulated annealing;All these keywords.
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