Outlier Detection on Mammography (AP)
51.5APPReNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PReNetlabeled outliers=52025.12 | 51.5 | — | |
| DevNetlabeled outliers=52025.12 | 50.7 | — | |
| DevNetlabeled data ratio=1%2025.12 | 46.5 | — | |
| GDOFlabeled outliers=52025.12 | 44.6 | — | |
| PReNetlabeled data ratio=1%2025.12 | 44.08 | — | |
| ECODlabeled data ratio=1%2025.12 | 43.31 | — | |
| ECODlabeled outliers=52025.12 | 43.2 | — | |
| FEAWADlabeled data ratio=1%2025.12 | 41.77 | — | |
| FRODlabeled data ratio=1%2025.12 | 40.93 | — | |
| DeepSADlabeled outliers=52025.12 | 31.4 | — | |
| FEAWADlabeled outliers=52025.12 | 27.5 | — | |
| DeepSADlabeled data ratio=1%2025.12 | 24.13 | — | |
| IForestlabeled data ratio=1%2025.12 | 19.45 | — | |
| DeepSVDDlabeled data ratio=1%2025.12 | 18.81 | — | |
| REPENlabeled outliers=52025.12 | 17.7 | — | |
| REPENlabeled data ratio=1%2025.12 | 14.76 | — | |
| DIFlabeled outliers=52025.12 | 12.8 | — | |
| LUNARlabeled outliers=52025.12 | 12.3 | — | |
| WFRDAlabeled outliers=52025.12 | 9.4 | — | |
| WFRDAlabeled data ratio=1%2025.12 | 9.39 | — | |
| MFGADlabeled data ratio=1%2025.12 | 6.24 | — | |
| DeepSVDDlabeled outliers=52025.12 | 5.6 | — | |
| CODlabeled_outliers=52025.12 | — | 0.258 | |
| DeepSADlabeled_outliers=52025.12 | — | 0.314 | |
| DeepSVDDlabeled_outliers=52025.12 | — | 0.056 | |
| DevNetlabeled_outliers=52025.12 | — | 0.507 | |
| ECODlabeled_outliers=52025.12 | — | 0.432 | |
| FEAWADlabeled_outliers=52025.12 | — | 0.275 | |
| IForestlabeled_outliers=52025.12 | — | 0.215 | |
| PReNetlabeled_outliers=52025.12 | — | 0.515 | |
| REPENlabeled_outliers=52025.12 | — | 0.177 | |
| SODlabeled_outliers=52025.12 | — | 0.116 | |
| WFRDAlabeled_outliers=52025.12 | — | 0.094 |