Adult
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Adult | Accuracy91.3 | 86 | |
| Classification | adult | Accuracy87.4 | 86 | |
| Classification | Adult | ROCAUC0.8723 | 40 | |
| Classification | Adult (AD) (test) | Macro F1 Score92.3 | 36 | |
| Classification | Adult | F186 | 34 | |
| Binary Classification | adult (AD) (test) | AUROC0.914 | 32 | |
| Classification | Adult Dataset | Accuracy85.92 | 30 | |
| Global Counterfactual Explanations | Adult | Effectiveness100 | 30 | |
| Tabular Classification | Adult (test) | AUROC91.4 | 28 | |
| Classification | Adult | Accuracy87.1 | 27 | |
| Classification | Adult | Accuracy86.9 | 27 | |
| Conditional Shapley value estimation | Adult M=14 | MSEv0.026 | 27 | |
| Classification | adult | F1 Score81.24 | 26 | |
| Tabular Data Generation | Adult | Beta Recall76.88 | 26 | |
| Classification | Adult | Global Model Accuracy84.5 | 25 | |
| Fairness-aware Classification | Adult race (test) | Accuracy87.21 | 25 | |
| Contamination detection | adult | Acomp0.72 | 24 | |
| 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 | |
| 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 |
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