Evaluating AutoEDA Without Human Raters: A Diagnostic Framework and Case Study of Structured Question Generation
Human evaluation remains the dominant way to assess automated exploratory data analysis (AutoEDA) systems, but it is expensive, subjective, and hard to reproduce. We introduce a reproducible automatic diagnostic framework that surfaces structural and statistical failures in AutoEDA—failure modes often under-emphasized...