Fairness Mitigation on German Credit
-0.0961AODLogistic Regression
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Logistic RegressionIntervention=None (Base Model)2026.04 | -0.0961 | -0.1142 | 0.0915 | |
| XGBoostIntervention=None (Base Model)2026.04 | -0.0532 | -0.0702 | 0.086 | |
| Random ForestIntervention=None (Base Model)2026.04 | -0.0437 | -0.058 | 0.0724 | |
| CAFPBase Model=Logistic Regression2026.04 | -0.0324 | -0.048 | 0.0786 | |
| Equalized OddsBase Model=XGBoost2026.04 | -0.0218 | -0.0396 | 0.0896 | |
| CAFPBase Model=Random Forest2026.04 | -0.0216 | -0.0351 | 0.0679 | |
| CAFPBase Model=XGBoost2026.04 | -0.0201 | -0.0345 | 0.0728 | |
| Equalized OddsBase Model=Logistic Regression2026.04 | -0.0139 | -0.0323 | 0.0929 | |
| Equalized OddsBase Model=Random Forest2026.04 | -0.0027 | -0.021 | 0.0923 | |
| Reject OptionBase Model=XGBoost2026.04 | 0.0235 | 0.0049 | 0.0937 | |
| Reject OptionBase Model=Logistic Regression2026.04 | 0.0248 | 0.0037 | 0.1067 | |
| Reject OptionBase Model=Random Forest2026.04 | 0.0462 | 0.0265 | 0.0991 |