MDL and BIC most reliably select low test-error models and recover ground-truth expressions in symbolic regression benchmarks.
Friedman, Eric Grosse, and Werner Stuetzle
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A Comparative Study of Model Selection Criteria for Symbolic Regression
MDL and BIC most reliably select low test-error models and recover ground-truth expressions in symbolic regression benchmarks.