SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data

Explore SHAP Distance, an advanced metric that quantifies semantic fidelity in synthetic tabular data by analyzing feature importance shifts rather than simp...

Level: advanced

By Ke Yu, Shigeru Ishikura, Yukari Usukura, Yuki Shigoku, Teruaki Hayashi

Category: research