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Open access
Jul 2026
Fairness and Symbolic Regression
This work develops a transition from classification to regression for symbolic regression by first discretizing the task into a fixed number of classes, progressively increasing their number, and finally by using full regression fairness metrics, demonstrating the framework on the Law School Admission Council dataset.
Michel El Saliby, David Ibehej, Nicole Vergara et al.
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