Anomaly Detection on census
40.03AUPRCDisentAD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DisentAD2026.03 | 40.03 | — | |
| AE2026.03 | 20.74 | — | |
| DSVDD2026.03 | 19.05 | — | |
| OFA-TAD2026.03 | 17.48 | — | |
| LUNAR2026.03 | 16.54 | — | |
| MCM2026.03 | 16.5 | — | |
| KNN2026.03 | 16.26 | — | |
| DRL2026.03 | 15 | — | |
| iForest2026.03 | 14.51 | — | |
| LOF2026.03 | 11.75 | — | |
| MCM2026.05 | 0.1014 | — | |
| DTE-Categorical2026.05 | 0.0912 | — | |
| MaskDiff-ADType=Parametric2026.05 | 0.0906 | — | |
| MaskDiff-ADType=Non-parametric2026.05 | 0.0905 | — | |
| Hamming-kNN2026.05 | 0.0876 | — | |
| DeepSVDD2026.05 | 0.0874 | — | |
| ICL2026.05 | 0.0854 | — | |
| COPOD2026.05 | 0.0834 | — | |
| DTE-Gaussian2026.05 | 0.083 | — | |
| DTE-InvGamma2026.05 | 0.0811 | — | |
| ECOD2026.05 | 0.0801 | — | |
| GOAD2026.05 | 0.0727 | — | |
| DRL2026.05 | 0.0723 | — | |
| IForest2026.05 | 0.0703 | — | |
| COPODSeeds=52026.05 | — | 0.6445 | |
| DeepSVDDSeeds=52026.05 | — | 0.5857 | |
| DRLSeeds=52026.05 | — | 0.5862 | |
| DTE-CategoricalSeeds=52026.05 | — | 0.6717 | |
| DTE-GaussianSeeds=52026.05 | — | 0.6134 | |
| DTE-InvGammaSeeds=52026.05 | — | 0.6198 | |
| ECODSeeds=52026.05 | — | 0.6289 | |
| GOADSeeds=52026.05 | — | 0.6036 | |
| Hamming-kNNSeeds=52026.05 | — | 0.664 | |
| ICLSeeds=52026.05 | — | 0.6553 | |
| IForestSeeds=52026.05 | — | 0.5932 | |
| MaskDiff-ADType=Parametric, Seeds=52026.05 | — | 0.6662 | |
| MaskDiff-ADType=Non-parametric, Seeds=52026.05 | — | 0.6701 | |
| MCMSeeds=52026.05 | — | 0.6818 |