Anomaly Detection on Cover
13AUC-PRECOD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ECOD2026.05 | 13 | — | |
| COPOD2026.05 | 12.84 | — | |
| GOAD2026.05 | 10.21 | — | |
| MaskDiff-ADType=Non-parametric2026.05 | 9.69 | — | |
| MCM2026.05 | 6.83 | — | |
| DTE-InvGamma2026.05 | 6.04 | — | |
| IForest2026.05 | 5.93 | — | |
| MaskDiff-ADType=Parametric2026.05 | 5.5 | — | |
| DTE-Categorical2026.05 | 4.98 | — | |
| DTE-Gaussian2026.05 | 2.51 | — | |
| DeepSVDD2026.05 | 1.57 | — | |
| DRL2026.05 | 1.36 | — | |
| ICL2026.05 | 1.05 | — | |
| DRL2026.03 | 0.8231 | — | |
| DisentAD2026.03 | 0.7178 | — | |
| OFA-TAD2026.03 | 0.537 | — | |
| Hamming-kNN2026.05 | 0.47 | — | |
| LUNAR2026.03 | 0.4487 | — | |
| eDSVDDType=Deep Ensemble-based2022.06 | 0.353 | 0.981 | |
| DIFType=Deep Ensemble-based2022.06 | 0.246 | 0.972 | |
| DIF2022.06 | 0.246 | 0.972 | |
| eRDPType=Deep Ensemble-based2022.06 | 0.192 | 0.966 | |
| LOF2026.03 | 0.1598 | — | |
| MCM2026.03 | 0.151 | — | |
| KNN2026.03 | 0.1045 | — | |
| PID2022.06 | 0.069 | 0.939 | |
| eRECONType=Deep Ensemble-based2022.06 | 0.067 | 0.922 | |
| AE2026.03 | 0.0661 | — | |
| DSVDD2026.03 | 0.0595 | — | |
| iForest2026.03 | 0.056 | — | |
| IF2022.06 | 0.055 | 0.888 | |
| LeSiNN2022.06 | 0.051 | 0.885 | |
| eREPENType=Deep Ensemble-based2022.06 | 0.044 | 0.896 | |
| EIF2022.06 | 0.04 | 0.872 | |
| COPODSeeds=52026.05 | — | 0.9772 | |
| DeepSVDDSeeds=52026.05 | — | 0.4784 | |
| DRLSeeds=52026.05 | — | 0.4453 | |
| DTE-CategoricalSeeds=52026.05 | — | 0.9421 | |
| DTE-GaussianSeeds=52026.05 | — | 0.6468 | |
| DTE-InvGammaSeeds=52026.05 | — | 0.8838 | |
| ECODSeeds=52026.05 | — | 0.9782 | |
| GOADSeeds=52026.05 | — | 0.9543 | |
| Hamming-kNNSeeds=52026.05 | — | 0.5 | |
| ICLSeeds=52026.05 | — | 0.3611 | |
| IForestSeeds=52026.05 | — | 0.9383 | |
| MaskDiff-ADType=Parametric, Seeds=52026.05 | — | 0.9192 | |
| MaskDiff-ADType=Non-parametric, Seeds=52026.05 | — | 0.9547 | |
| MCMSeeds=52026.05 | — | 0.9143 |