Binary Classification on Adult (Accuracy, DPΔ, EOΔ)
85.22AccuracyModel Ensemble-Based Post-Processing Framework (Best-Perf)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=MLP, Variant=2-pretrained, Mixture, λ=12026.03 | 85.22 | 0.1572 | 0.0863 | |
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=RF, Variant=1-pretrained, Mixture, λ=0.012026.03 | 84.75 | 0.1769 | 0.0885 | |
| HGR (DP-targeted)Base model=MLP2026.03 | 84.48 | 0.1446 | 0.06 | |
| HGR (EO-targeted)Base model=MLP2026.03 | 84.23 | 0.1334 | 0.0536 | |
| ReductionsBase model=RF2026.03 | 84.04 | 0.0119 | 0.3163 | |
| ReductionsBase model=MLP2026.03 | 83.92 | 0.0187 | 0.3037 | |
| CalibratedEqOddsPostprocessingBase model=RF2026.03 | 83.27 | 0.2575 | 0.6033 | |
| CalibratedEqOddsPostprocessingBase model=MLP2026.03 | 83.16 | 0.2572 | 0.6001 | |
| ROCBase model=MLP2026.03 | 78.35 | 0.0409 | 0.1923 | |
| ROCBase model=RF2026.03 | 77.52 | 0.0468 | 0.1329 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=RF, Variant=1-pretrained, MoE, λ=1002026.03 | 76.37 | 0.0021 | 0.0286 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=MLP, Variant=1-pretrained, MoE, λ=5002026.03 | 76.17 | 0 | 0 |