Unsupervised Anomaly Detection With Specified
المقاييس
AUC-ROC
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| DAGMM | 0.883 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| LVAD | 0.977 | Locally varying distance transform for unsupervised visual anomaly detection | |
| Isolation Forest | 0.638 | Isolation forest | - |
| RSRAE | 0.944 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| Shell-Renormalized | 0.999 | Shell Theory: A Statistical Model of Reality | |
| Deep Unsup. | 0.866 | Deep unsupervised anomaly detection | - |
0 of 6 row(s) selected.