Adult
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | adult | Accuracy86.13 | 33 | |
| Binary Classification | adult (AD) (test) | AUROC0.914 | 32 | |
| Classification | Adult | ROCAUC0.8723 | 32 | |
| Tabular Classification | Adult (test) | AUROC91.4 | 28 | |
| Conditional Shapley value estimation | Adult M=14 | MSEv0.026 | 27 | |
| Synthetic Data Generation | adult dataset (test) | TSTR89 | 24 | |
| Coreset Construction | Adult | Wasserstein Distance2.7 | 24 | |
| Classification | ADULT (test) | Bias0.01 | 24 | |
| Classification | Adult (test) | Min Test Accuracy86.8 | 24 | |
| Classification | Adult | Accuracy83.96 | 21 | |
| Performance Difference Estimation | Adult Subgroup #5, 1% | Mean Performance Diff2.13 | 21 | |
| Performance Difference Estimation | Adult Subgroup #4, 1% | Mean Performance Difference0.76 | 21 | |
| Performance Difference Estimation | Adult Subgroup #3, 3% | Mean Performance Diff1.04 | 21 | |
| Performance Difference Estimation | Adult Subgroup #2, 9% | Mean Performance Diff2.31 | 21 | |
| Performance Difference Estimation | Adult Subgroup #1, 86% | Mean Performance Diff1.01 | 21 | |
| Income Prediction | ADULT (test) | Accuracy82.31 | 18 | |
| Fair Classification | Adult | Delta DP-0.1598 | 16 | |
| Intersectional performance estimation | Adult (test) | Performance Matrix Difference (Oracle)0.126 | 16 | |
| Classification | Adult (synthetic) | Accuracy82.09 | 15 | |
| Fair k-center | Adult | Ratio Cost to LB1.9 | 15 | |
| Tabular Data Utility | Adult (test) | AUC0.927 | 14 | |
| Classification | Adult (test) | Accuracy86 | 12 | |
| Classification | adult (val) | AUROC92.8 | 12 | |
| Classification | Adult 30% MNAR | F1 Score33.5 | 12 | |
| Classification | Adult 30% MAR | F1 Score30.3 | 12 |
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