Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data
Summary: Quest is a query-driven framework that yields local explanations for tabular classifiers as relational predicates approximating model behavior around a sample. Demo shows Quest on synthetic and real tabular data with an interactive UI to aid model development. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Nadja Geisler (Technical University of Darmstadt)
- 2. Benjamin Hättasch (Technical University of Darmstadt)
- 3. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt)
BibTeX Citation
@article{geisler_vldb22,
title = {{Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data}},
author = {Geisler, Nadja and Hättasch, Benjamin and Binnig, Carsten},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3722--3725},
doi = {10.14778/3554821.3554884},
url = {https://doi.org/10.14778/3554821.3554884},
year = {2022}
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