arxiv
PublishedJuly 3, 2026 at 4:00 AM
Profit-Based Counterfactual Explanations for Product Improvement: A Case Study of Manga Sales in Japan
Publisher summary· verbatim
arXiv:2607.01610v1 Announce Type: new Abstract: Counterfactual explanation (CE) is widely used to enhance the interpretability of machine learning models and support data-driven decision-making based on model predictions. However, existing CE methods typically require two exogenously specified input
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Originally published on arxiv ↗