Outlier Detection on Musk (AUC-ROC)
100AUC-ROCCOD
Evaluation Results
| Method | Links | |
|---|---|---|
| CODlabeled outliers=52025.12 | 100 | |
| IForestlabeled outliers=52025.12 | 99.9 | |
| WFRDAlabeled outliers=52025.12 | 99.9 | |
| REPENlabeled outliers=52025.12 | 99.9 | |
| DeepSADlabeled outliers=52025.12 | 98.9 | |
| PReNetlabeled outliers=52025.12 | 97.3 | |
| ECODlabeled outliers=52025.12 | 95.9 | |
| FEAWADlabeled outliers=52025.12 | 92.9 | |
| DevNetlabeled outliers=52025.12 | 85.9 | |
| SODlabeled outliers=52025.12 | 73.8 | |
| DeepSVDDlabeled outliers=52025.12 | 66.9 |