Binary Classification on Heart (Fairness Metrics)
91.65AccuracyCalibratedEqOddsPostprocessing
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CalibratedEqOddsPostprocessingBase model=MLP2026.03 | 91.65 | 1.56 | 8.9 | |
| HGR (EO-targeted)Base model=MLP2026.03 | 91.65 | 0.39 | 1.17 | |
| ReductionsBase model=MLP2026.03 | 91.61 | 0.85 | 3.61 | |
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=MLP, Variant=2-pretrained, MoE, λ=12026.03 | 91.4 | 0.91 | 3.84 | |
| HGR (DP-targeted)Base model=MLP2026.03 | 91.39 | 0.15 | 1.09 | |
| ReductionsBase model=RF2026.03 | 91.29 | 1.35 | 35.92 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=MLP, Variant=1-pretrained, Mixture, λ=102026.03 | 91.27 | 0.02 | 0.22 | |
| Model Ensemble-Based Post-Processing Framework (Best-Perf)Base model=RF, Variant=2-pretrained, Mixture, λ=≥202026.03 | 91.26 | 0 | 0 | |
| Model Ensemble-Based Post-Processing Framework (Best-Fair)Base model=RF, Variant=2-pretrained, Mixture, λ=≥202026.03 | 91.26 | 0 | 0 | |
| CalibratedEqOddsPostprocessingBase model=RF2026.03 | 90.63 | 4.27 | 13.98 | |
| ROCBase model=MLP2026.03 | 73.12 | 2.27 | 4.12 | |
| ROCBase model=RF2026.03 | 69.91 | 4.73 | 3.32 |