Outlier Detection on CreditA
0.916AUC-PRECOD
Evaluation results
| Method | Links | |
|---|---|---|
| ECODlabeled_outliers=52025.12 | 0.916 | |
| ECODlabeled outliers=52025.12 | 0.916 | |
| GDOFlabeled outliers=52025.12 | 0.898 | |
| WFRDAlabeled_outliers=52025.12 | 0.855 | |
| WFRDAlabeled outliers=52025.12 | 0.855 | |
| CODlabeled_outliers=52025.12 | 0.845 | |
| IForestlabeled_outliers=52025.12 | 0.815 | |
| PReNetlabeled_outliers=52025.12 | 0.65 | |
| PReNetlabeled outliers=52025.12 | 0.65 | |
| REPENlabeled_outliers=52025.12 | 0.643 | |
| REPENlabeled outliers=52025.12 | 0.643 | |
| DevNetlabeled_outliers=52025.12 | 0.621 | |
| DevNetlabeled outliers=52025.12 | 0.621 | |
| FEAWADlabeled_outliers=52025.12 | 0.501 | |
| FEAWADlabeled outliers=52025.12 | 0.501 | |
| DeepSVDDlabeled_outliers=52025.12 | 0.479 | |
| DeepSVDDlabeled outliers=52025.12 | 0.479 | |
| SODlabeled_outliers=52025.12 | 0.459 | |
| LUNARlabeled outliers=52025.12 | 0.388 | |
| DeepSADlabeled_outliers={5:labeled outliers}2025.12 | 0.331 | |
| DeepSADlabeled outliers=52025.12 | 0.331 | |
| DIFlabeled outliers=52025.12 | 0.298 |