Selective Regression on wec (test)
8.2Conditional Large-Loss RateLocus-MC
Evaluation results
| Method | Links | |
|---|---|---|
| Locus-MCAcceptance Rate=≈ 70%, Calibration Level (alpha)=10%, Score Function=loss-quantile score, Gamma correction=false2026.03 | 8.2 | |
| Locus-MC (γ)Acceptance Rate=≈ 70%, Calibration Level (alpha)=10%, Score Function=loss-quantile score, Gamma correction=true2026.03 | 8.2 | |
| Locus-MC Dropout (gamma-infl.)Method category=Locus-Tuned, Base model=MC Dropout, Inflation=gamma-infl., Calibration level (alpha)=10%, Target acceptance rate=≈ 70%2026.03 | 8.8 | |
| Locus-MC DropoutMethod category=Locus-Tuned, Base model=MC Dropout, Calibration level (alpha)=10%, Target acceptance rate=≈ 70%2026.03 | 8.9 | |
| Locus-BART (γ)Acceptance Rate=≈ 70%, Calibration Level (alpha)=10%, Score Function=loss-quantile score, Gamma correction=true2026.03 | 14.6 | |
| Locus-BART (gamma-infl.)Method category=Locus-Tuned, Base model=BART, Inflation=gamma-infl., Calibration level (alpha)=10%, Target acceptance rate=≈ 70%2026.03 | 14.9 | |
| Locus-BARTAcceptance Rate=≈ 70%, Calibration Level (alpha)=10%, Score Function=loss-quantile score, Gamma correction=false2026.03 | 15.1 | |
| Locus-BARTMethod category=Locus-Tuned, Base model=BART, Calibration level (alpha)=10%, Target acceptance rate=≈ 70%2026.03 | 15.2 | |
| VARNetAcceptance Rate=≈ 70%2026.03 | 23 | |
| VARNetMethod category=Baseline (no Locus), Base model=VARNet, Target acceptance rate=≈ 70%2026.03 | 23 | |
| IFlagAcceptance Rate=≈ 70%2026.03 | 34.8 | |
| IFlagMethod category=Baseline (no Locus), Base model=IFlag, Target acceptance rate=≈ 70%2026.03 | 34.8 |