Conformal Prediction on meps19 (test)
90Marginal CoverageCHR
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CHRBase Model=Neural Network2026.01 | 90 | 90 | 20.3 | 270.1 | |
| CQRBase Model=Neural Network2026.01 | 90 | 89 | 29 | 0.03 | |
| DCPBase Model=Neural Network2026.01 | 90 | 89 | 559.3 | 2.71 | |
| DCP-CQRBase Model=Neural Network2026.01 | 90 | 89 | 33 | 0.03 | |
| DistSplitBase Model=Neural Network2026.01 | 90 | 90 | 30.2 | 2.7 | |
| CIRBase Model=Neural Network2026.01 | 90 | 90 | 21.2 | 0.41 | |
| CIR+Base Model=Neural Network2026.01 | 90 | 90 | 21 | 0.57 | |
| CHRBase Model=Random Forest2026.01 | 90 | 90 | 19.4 | 258.25 | |
| CQRBase Model=Random Forest2026.01 | 90 | 90 | 31.2 | 0.17 | |
| DCPBase Model=Random Forest2026.01 | 90 | 89 | 559 | 2.79 | |
| DCP-CQRBase Model=Random Forest2026.01 | 90 | 90 | 34.3 | 0.17 | |
| DistSplitBase Model=Random Forest2026.01 | 90 | 90 | 31.8 | 2.77 | |
| CIRBase Model=Random Forest2026.01 | 90 | 90 | 19.9 | 0.73 | |
| CIR+Base Model=Random Forest2026.01 | 90 | 89 | 19.6 | 0.89 |