Mislabel Detection on fraud
95.2AUROCKNN
Evaluation results
| Method | Links | |
|---|---|---|
| KNNN=10,000, d=302026.05 | 95.2 | |
| LSH-ShapleyN=10,000, d=302026.05 | 94.1 | |
| G-ShapleyN=10,000, d=302026.05 | 76.6 | |
| DSN=10,000, d=302026.05 | 58.5 | |
| DBN=10,000, d=302026.05 | 49.1 | |
| sv-softvariant=soft2026.05 | 34 | |
| inf2026.05 | 28 | |
| beta-mcvariant=mc2026.05 | 22 | |
| bv-mcvariant=mc2026.05 | 12 | |
| bv-fastvariant=fast2026.05 | 11 | |
| bv-uwvariant=uw2026.05 | 11 | |
| sv-mcvariant=mc2026.05 | 11 | |
| sv2026.05 | 10 | |
| sv-uwvariant=uw2026.05 | 10 | |
| rand2026.05 | 5 | |
| loo2026.05 | 4 | |
| lava2026.05 | 0 |