Outlier Detection on Wilt (AUC-PR)
0.442AUC-PRFEAWAD
Evaluation results
| Method | Links | |
|---|---|---|
| FEAWADlabeled_outliers=52025.12 | 0.442 | |
| PReNetlabeled_outliers=52025.12 | 0.393 | |
| DevNetlabeled_outliers=52025.12 | 0.339 | |
| LUNAR2026.03 | 0.3168 | |
| DRL2026.03 | 0.2684 | |
| OFA-TAD2026.03 | 0.2165 | |
| MCM2026.03 | 0.1909 | |
| DisentAD2026.03 | 0.1876 | |
| KNN2026.03 | 0.1746 | |
| LOF2026.03 | 0.1574 | |
| DeepSADlabeled_outliers=52025.12 | 0.106 | |
| iForest2026.03 | 0.0881 | |
| AE2026.03 | 0.0825 | |
| DSVDD2026.03 | 0.0778 | |
| SODlabeled_outliers=52025.12 | 0.065 | |
| CODlabeled_outliers=52025.12 | 0.061 | |
| IForestlabeled_outliers=52025.12 | 0.047 | |
| DeepSVDDlabeled_outliers=52025.12 | 0.045 | |
| ECODlabeled_outliers=52025.12 | 0.041 | |
| WFRDAlabeled_outliers=52025.12 | 0.036 | |
| REPENlabeled_outliers=52025.12 | 0.036 |