CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests

Susanne Dandl, Kristin Blesch, Timo Freiesleben +4

Counterfactual explanations elucidate algorithmic decisions by pointing to scenarios that would have led to an alternative, desired outcome. Giving insight into the model's behavio…