Gender
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Distribution Alignment | Gender (US) - Real | MAE0.068 | 24 | |
| Distribution Alignment | Gender UK Real | MAE0.084 | 24 | |
| Distribution Alignment | Gender (US) - Even | MAE0.049 | 20 | |
| Distribution Alignment | Gender UK Even | MAE0.046 | 20 | |
| Classification | Gender | Accuracy92.7 | 15 | |
| Gender Recognition Interpretability | Gender dataset | MGRS Score8.2 | 14 | |
| Binary Classification | Gender 2019 (test) | AUC0.889 | 12 | |
| Gender Prediction | Gender | AUC89.8 | 10 | |
| Concept Recovery | GENDER (1, 1) | Mean MCC0.7314 | 6 | |
| Concept Identifiability | GENDER (1, 1) | MCC90.18 | 6 | |
| Text Classification | Gender (val) | Accuracy87.8 | 6 | |
| Explainable AI Performance Evaluation | Gender | Composite Score (Entropy-Weighted, Domain-Modulated)4.98 | 5 |
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