The Rashomon ratio, the fraction of near-optimal models in a hypothesis space, is proposed as a practical gauge for when accurate-yet-simple models exist.
Rademacher and G aussian complexities: Risk bounds and structural results
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On the Existence of Simpler Machine Learning Models
The Rashomon ratio, the fraction of near-optimal models in a hypothesis space, is proposed as a practical gauge for when accurate-yet-simple models exist.