Papers › CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual...

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

2 Aug 2021arXiv:2108.00783archive 2025-07-28

Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci

Counterfactual explanations provide means for prescriptive model explanations by suggesting actionable feature changes (e.g., increase income) that allow individuals to achieve favorable outcomes in the future (e.g., insurance approval). Choosing an appropriate method is a crucial aspect for meaningful counterfactual explanations. As documented in recent reviews, there exists a quickly growing literature with available methods. Yet, in the absence of widely available opensource implementations, the decision in favor of certain models is primarily based on what is readily available. Going forward - to guarantee meaningful comparisons across explanation methods - we present CARLA (Counterfactual And Recourse LibrAry), a python library for benchmarking counterfactual explanation methods across both different data sets and different machine learning models. In summary, our work provides the following contributions: (i) an extensive benchmark of 11 popular counterfactual explanation methods, (ii) a benchmarking framework for research on future counterfactual explanation methods, and (iii) a standardized set of integrated evaluation measures and data sets for transparent and extensive comparisons of these methods. We have open-sourced CARLA and our experimental results on Github, making them available as competitive baselines. We welcome contributions from other research groups and practitioners.

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indyfree/CARLA officialmentioned in papermentioned on GitHubpytorchMIT report
MartinPawel/ProbabilisticallyRobustRecourse mentioned on GitHubpytorchMIT report
Orange-OpenSource/carla_croco_vcnet mentioned on GitHubpytorchMIT report
carla-recourse/CARLA mentioned on GitHubpytorchMIT report

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get_models_home indyfree/CARLA/carla/models/catalog/load_model.py official repository unverified MIT (permissive) · 5b72258632321738 · report
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BenchmarkingCounterfactual Explanation

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CARLAEntropy RegularizationPPO

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