The Accuracy of Cardinality Estimators: Unraveling the Evaluation Result Conundrum
Summary: Shows per-dataset evaluation (PDE) of cardinality estimators is inadequate—produces non-aggregable, contradictory results across datasets. Proposes a discretization-based multidimensional evaluation enabling robust aggregation, pairwise comparisons and customizable ranking; benchmarks show many estimators fail 2‑D range queries. (summarized by gpt-5-mini on Feb 09 2026)
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