Conformal Prediction on Synthetic circular dataset (test)
1.24Median Arc LengthProjected random forests
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Projected random forestskappa (concentration parameter)=10, alpha (nominal miscoverage level)=0.12024.10 | 1.24 | 0.21 | 89.9 | |
| Circular forestkappa (concentration parameter)=10, alpha (nominal miscoverage level)=0.12024.10 | 1.7 | 0.62 | 90.1 | |
| Projected random forestskappa (concentration parameter)=5, alpha (nominal miscoverage level)=0.12024.10 | 1.7 | 0.25 | 90 | |
| Circular forestkappa (concentration parameter)=5, alpha (nominal miscoverage level)=0.12024.10 | 2.09 | 0.48 | 89.9 | |
| Projected random forestskappa (concentration parameter)=2, alpha (nominal miscoverage level)=0.12024.10 | 2.96 | 0.41 | 90.1 | |
| Projected normalkappa (concentration parameter)=10, alpha (nominal miscoverage level)=0.12024.10 | 3.21 | 1.35 | 89.6 | |
| Projected normalkappa (concentration parameter)=5, alpha (nominal miscoverage level)=0.12024.10 | 3.4 | 1.2 | 90.4 | |
| Circular forestkappa (concentration parameter)=2, alpha (nominal miscoverage level)=0.12024.10 | 3.52 | 0.85 | 90.4 | |
| Projected normalkappa (concentration parameter)=2, alpha (nominal miscoverage level)=0.12024.10 | 4.05 | 0.87 | 90.2 | |
| Projected random forestskappa (concentration parameter)=1, alpha (nominal miscoverage level)=0.12024.10 | 4.51 | 0.71 | 90.8 | |
| Circular forestkappa (concentration parameter)=1, alpha (nominal miscoverage level)=0.12024.10 | 4.84 | 1.06 | 90.6 | |
| Projected normalkappa (concentration parameter)=1, alpha (nominal miscoverage level)=0.12024.10 | 4.9 | 0.74 | 90.5 |