Mislabel Detection on vehicle
0.853AUROCKNN
Evaluation Results
| Method | Links | |
|---|---|---|
| KNNN=10,000, d=1002026.05 | 0.853 | |
| LSH-ShapleyN=10,000, d=1002026.05 | 0.82 | |
| G-ShapleyN=10,000, d=1002026.05 | 0.569 | |
| DSN=10,000, d=1002026.05 | 0.551 | |
| DBN=10,000, d=1002026.05 | 0.491 | |
| inf2026.05 | 0.26 | |
| sv-softvariant=soft2026.05 | 0.13 | |
| sv2026.05 | 0.11 | |
| sv-mcvariant=mc2026.05 | 0.11 | |
| sv-uwvariant=uw2026.05 | 0.11 | |
| bv-mcvariant=mc2026.05 | 0.1 | |
| loo2026.05 | 0.1 | |
| beta-mcvariant=mc2026.05 | 0.09 | |
| bv-fastvariant=fast2026.05 | 0.08 | |
| bv-uwvariant=uw2026.05 | 0.08 | |
| rand2026.05 | 0.07 | |
| lava2026.05 | 0.03 |