income
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Distribution Estimation | Income | W1 Distance0 | 45 | |
| Binary Classification | income IC 1995 (test) | AUROC0.925 | 39 | |
| Binary Classification | Income (test) | Test Accuracy87.39 | 34 | |
| Binary Classification | Income | AUC0.928 | 19 | |
| Fairness Classification | Income (test) | Disparate Impact (DP)0.1924 | 14 | |
| Fairness Evaluation | Income (test) | PP0.95 | 14 | |
| Classification | Income (test) | Equality of Opportunity10.97 | 14 | |
| Binary Classification | income | AUC92.3 | 10 | |
| Interpolation | Income | R^20.68 | 7 | |
| Classification | Income sex (test) | F1 Score67.66 | 7 | |
| Classification | Income race (test) | F1 Score67.66 | 7 | |
| Distribution Alignment | Income | MMD0.023 | 7 | |
| Classification | Income | AUROC0.866 | 7 | |
| Classification | Income | F1 Score69.16 | 7 | |
| Federated Unlearning | Income | Running Time (s)0.79 | 5 | |
| Synthetic Data Generation | Income | KSComp0.19 | 5 | |
| Performance Estimation | Income OoD | Bias (Acc)39.8 | 1 | |
| Performance Estimation | Income ID | Bias Accuracy32.1 | 1 |
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