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Sejong Oh

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#artificial intelligence Preprint Aug 2026

Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning

Actionable case-based feature importance (A-CBFI), a diagnosis-prescription integrated framework for tabular machine learning, provides targeted and actionable recourse while maintaining causal validity and achieving full relative convergence across all causally feasible instances.

Sejong Oh · 0 citations