Anomaly Detection On Uea Time Series Datasets
Metriken
Avg. ROC-AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Avg. ROC-AUC | Paper Title | Repository |
|---|---|---|---|
| SINBAD | 96.8 | Set Features for Fine-grained Anomaly Detection | |
| GOAD | 87.2 | Classification-Based Anomaly Detection for General Data | |
| DROCC | 86.8 | DROCC: Deep Robust One-Class Classification |
0 of 3 row(s) selected.