A Pareto-based multi-objective optimization method generates counterfactual explanations that aim to improve outcomes across several equally accurate machine learning models simultaneously.
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Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization
A Pareto-based multi-objective optimization method generates counterfactual explanations that aim to improve outcomes across several equally accurate machine learning models simultaneously.