Binary Classification on German (Accuracy, DPΔ, EOΔ)
73.5AccuracyReductions
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ReductionsBase model=RF2026.03 | 73.5 | 0.0288 | 0.043 | |
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=MLP, Variant=2-pretrained, MoE, λ=52026.03 | 72.5 | 0.0298 | 0.0701 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=MLP, Variant=1-pretrained, Mixture, λ=202026.03 | 70.5 | 0 | 0 | |
| CalibratedEqOddsPostprocessingBase model=MLP2026.03 | 68 | 0.0832 | 0.0579 | |
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=RF, Variant=1-pretrained, MoE, λ=0.012026.03 | 67.72 | 0.0975 | 0.1632 | |
| CalibratedEqOddsPostprocessingBase model=RF2026.03 | 65.5 | 0.1129 | 0.0833 | |
| ReductionsBase model=MLP2026.03 | 65.5 | 0.0489 | 0.0874 | |
| ROCBase model=RF2026.03 | 65.3 | 0.0355 | 0.0674 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=RF, Variant=1-pretrained, Mixture, λ=52026.03 | 65 | 0 | 0 | |
| HGR (DP-targeted)Base model=MLP2026.03 | 65 | 0 | 0 | |
| HGR (EO-targeted)Base model=MLP2026.03 | 65 | 0 | 0 | |
| ROCBase model=MLP2026.03 | 61 | 0.029 | 0.0579 |