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Recovery Rates Are Not Comparable Across Transcription Factors: Chance Correction for Attribution Evaluation
Attribution methods for genomic sequence models are commonly evaluated by how much of a known motif they recover, or by how a prediction degrades as evidence is deleted. Neither score is interpretable without the value it would take by chance, and neither is routinely reported against one. We show t
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