A simulation benchmark claims semi- and non-parametric models outperform parametric models at recovering discrete choice rules, but flawed data generation and a misapplied BIC weaken the claim.
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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks
A simulation benchmark claims semi- and non-parametric models outperform parametric models at recovering discrete choice rules, but flawed data generation and a misapplied BIC weaken the claim.