Recourse Cost Evaluation on German Credit
0.02Recourse CostSOGAR
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SOGARClassifier=DNN2026.05 | 0.02 | — | — | — | — | — | 0 | 0.02 | 28.2 | |
| CETClassifier=DNN2026.05 | 0.04 | — | — | — | — | — | 0.44 | 0.48 | 255.3 | |
| SOGARClassifier=XGBoost2026.05 | 0.09 | — | — | — | — | — | 0.02 | 0.12 | 26.4 | |
| SOGARClassifier=LightGBM2026.05 | 0.11 | — | — | — | — | — | 0.03 | 0.14 | 41.9 | |
| CETClassifier=XGBoost2026.05 | 0.12 | — | — | — | — | — | 0.25 | 0.37 | 151.2 | |
| CETClassifier=LightGBM2026.05 | 0.13 | — | — | — | — | — | 0.31 | 0.44 | 173.8 | |
| AReSClassifier=DNN2026.05 | 0.17 | — | — | — | — | — | 0.39 | 0.56 | 1,845.3 | |
| AReSClassifier=LightGBM2026.05 | 0.19 | — | — | — | — | — | 0.65 | 0.84 | 680.4 | |
| T-CREx0.9Classifier=XGBoost2026.05 | 0.4 | — | — | — | — | — | 0.75 | 1.2 | 8.2 | |
| AReSClassifier=XGBoost2026.05 | 0.41 | — | — | — | — | — | 0.13 | 0.55 | 2,362.8 | |
| T-CREx0.9Classifier=LightGBM2026.05 | 0.44 | — | — | — | — | — | 0.72 | 1.16 | 8.25 | |
| GLANCEClassifier=DNN2026.05 | 0.47 | — | — | — | — | — | 0.01 | 0.47 | 8.5 | |
| GLANCEClassifier=XGBoost2026.05 | 0.5 | — | — | — | — | — | 0.01 | 0.5 | 8.4 | |
| GLANCEClassifier=LightGBM2026.05 | 0.52 | — | — | — | — | — | 0.01 | 0.53 | 9.3 | |
| T-CREx0.9Classifier=DNN2026.05 | 0.53 | — | — | — | — | — | 0.78 | 1.31 | 32.19 | |
| T-CREx0.99Classifier=LightGBM2026.05 | 0.54 | — | — | — | — | — | 0.61 | 1.15 | 10 | |
| T-CREx0.99Classifier=XGBoost2026.05 | 0.56 | — | — | — | — | — | 0.57 | 1.13 | 8.03 | |
| T-CREx0.99Classifier=DNN2026.05 | 0.6 | — | — | — | — | — | 0.7 | 1.25 | 19.63 | |
| GLOBE-CEClassifier=DNN2026.05 | 0.91 | — | — | — | — | — | 0.01 | 0.92 | 7.58 | |
| GLOBE-CEClassifier=LightGBM2026.05 | 0.91 | — | — | — | — | — | 0.23 | 1.14 | 6.1 | |
| GLOBE-CEClassifier=XGBoost2026.05 | 0.92 | — | — | — | — | — | 0.25 | 1.16 | 5.5 | |
| Adversarial ModelCounterfactual Algorithm=Wachter2021.06 | — | 5.65 | 5.08 | 0.75 | 3.16 | 1.8 | — | — | — | |
| Adversarial ModelCounterfactual Algorithm=S-Wachter2021.06 | — | 8.35 | 8.59 | 0.24 | 4.12 | 2 | — | — | — | |
| Adversarial ModelCounterfactual Algorithm=Proto2021.06 | — | 10.51 | 13.98 | 0.06 | 4.69 | 2.2 | — | — | — | |
| Adversarial ModelCounterfactual Algorithm=DiCE2021.06 | — | 6.31 | 6.81 | 0.5 | 3.38 | 2 | — | — | — |