How Faithful Is Attribution for Sales Forecasting? A Counterfactual Study
A post-hoc, architecture-agnostic counterfactual interpretability layer is added to a multi-series WaveNet forecaster trained on the full Corporacion Favorita grocery dataset, establishing that the attributions reflect genuine model behavior rather than plausible-looking artifacts.
Glib Kechyn
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