Fair Classification on COMPAS (AOD Reporting)
-0.2034AODLR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LRBase Model=Logistic Regression, Fairness Intervention=None2026.04 | -0.2034 | -0.2119 | 0.0431 | |
| XGBBase Model=XGBoost, Fairness Intervention=None2026.04 | -0.1499 | -0.1609 | 0.0551 | |
| RFBase Model=Random Forest, Fairness Intervention=None2026.04 | -0.1491 | -0.1607 | 0.0587 | |
| LR + CAFPBase Model=Logistic Regression, Fairness Intervention=Counterfactual Averaging for Fair Predictions2026.04 | -0.1305 | -0.1372 | 0.0337 | |
| XGB + CAFPBase Model=XGBoost, Fairness Intervention=Counterfactual Averaging for Fair Predictions2026.04 | -0.1095 | -0.1171 | 0.0383 | |
| RF + CAFPBase Model=Random Forest, Fairness Intervention=Counterfactual Averaging for Fair Predictions2026.04 | -0.1012 | -0.1081 | 0.0349 | |
| XGB + Eq.OddsBase Model=XGBoost, Fairness Intervention=Equalized Odds2026.04 | -0.0041 | -0.0123 | 0.0413 | |
| LR + Eq.OddsBase Model=Logistic Regression, Fairness Intervention=Equalized Odds2026.04 | -0.0017 | -0.0117 | 0.0503 | |
| RF + Eq.OddsBase Model=Random Forest, Fairness Intervention=Equalized Odds2026.04 | 0.0047 | -0.0049 | 0.0484 | |
| LR + R. O.Base Model=Logistic Regression, Fairness Intervention=Reject Option2026.04 | 0.0123 | -0.0018 | 0.0709 | |
| XGB + R. O.Base Model=XGBoost, Fairness Intervention=Reject Option2026.04 | 0.0157 | 0.0064 | 0.0471 | |
| RF + R. O.Base Model=Random Forest, Fairness Intervention=Reject Option2026.04 | 0.0172 | 0.005 | 0.0616 |