WISCA produces consensus explanations on synthetic tabular datasets that align with the most reliable individual interpretability method among those tested.
Banegas-Luna is an Associate Professor in Computer Science at Universi- dad Católica de Murcia (UCAM), Spain
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WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
WISCA produces consensus explanations on synthetic tabular datasets that align with the most reliable individual interpretability method among those tested.