Outlier Detection on Optdigits
98.5APPReNet
Evaluation results
| Method | Links | |
|---|---|---|
| PReNetlabeled outliers=52025.12 | 98.5 | |
| PReNetlabeled data ratio=1%2025.12 | 97.44 | |
| DevNetlabeled outliers=52025.12 | 96.8 | |
| FEAWADlabeled outliers=52025.12 | 84.2 | |
| GDOFlabeled outliers=52025.12 | 81.2 | |
| FEAWADlabeled data ratio=1%2025.12 | 73.38 | |
| DevNetlabeled data ratio=1%2025.12 | 48.24 | |
| FRODlabeled data ratio=1%2025.12 | 37.82 | |
| WFRDAlabeled outliers=52025.12 | 36.6 | |
| WFRDAlabeled data ratio=1%2025.12 | 32.84 | |
| DeepSADlabeled outliers=52025.12 | 20.6 | |
| DeepSADlabeled data ratio=1%2025.12 | 15.82 | |
| IForestlabeled data ratio=1%2025.12 | 5.32 | |
| DeepSVDDlabeled outliers=52025.12 | 5.3 | |
| REPENlabeled data ratio=1%2025.12 | 4.94 | |
| REPENlabeled outliers=52025.12 | 3.6 | |
| MFGADlabeled data ratio=1%2025.12 | 3.45 | |
| ECODlabeled outliers=52025.12 | 3.3 | |
| DIFlabeled outliers=52025.12 | 3.3 | |
| ECODlabeled data ratio=1%2025.12 | 2.87 | |
| DeepSVDDlabeled data ratio=1%2025.12 | 2.8 | |
| LUNARlabeled outliers=52025.12 | 2.8 |