Outlier Detection on Optdigits (AUC)
0.999AUCPReNet
Evaluation results
| Method | Links | |
|---|---|---|
| PReNetLabeled Outliers=52025.12 | 0.999 | |
| FEAWADLabeled Outliers=52025.12 | 0.994 | |
| DevNetLabeled Outliers=52025.12 | 0.988 | |
| GDOFLabeled Outliers=52025.12 | 0.986 | |
| DROD2026.03 | 0.9802 | |
| WFRDALabeled Outliers=52025.12 | 0.942 | |
| DeepSADLabeled Outliers=52025.12 | 0.869 | |
| CBLOF2026.03 | 0.7547 | |
| IFOREST2026.03 | 0.714 | |
| COPOD2026.03 | 0.6824 | |
| DeepSVDDLabeled Outliers=52025.12 | 0.667 | |
| REPENLabeled Outliers=52025.12 | 0.609 | |
| ECODLabeled Outliers=52025.12 | 0.606 | |
| ECOD2026.03 | 0.6045 | |
| DIFLabeled Outliers=52025.12 | 0.597 | |
| OCSVM2026.03 | 0.5336 | |
| kNN+KFC2026.03 | 0.5249 | |
| LUNARLabeled Outliers=52025.12 | 0.452 | |
| LOF+KFC2026.03 | 0.3921 | |
| DGOF+KFC2026.03 | 0.2831 |