Anomaly Detection on SMAP
0.9669F1Anomaly Transformer
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Anomaly Transformer2023.07 | 0.9669 | — | |
| DGHL2023.07 | 0.9638 | — | |
| THOC2023.07 | 0.9068 | — | |
| TranADTraining data percentage=20%2022.01 | 0.8889 | 0.9885 | |
| Omni Anomaly2023.07 | 0.8692 | — | |
| MAD-GANTraining data percentage=20%2022.01 | 0.8468 | 0.9877 | |
| GDNTraining data percentage=20%2022.01 | 0.8411 | 0.9887 | |
| USADTraining data percentage=20%2022.01 | 0.8379 | 0.9883 | |
| DAGMMTraining data percentage=20%2022.01 | 0.8369 | 0.9881 | |
| CAE-MTraining data percentage=20%2022.01 | 0.8312 | 0.9892 | |
| MTAD-GATTraining data percentage=20%2022.01 | 0.8225 | 0.9814 | |
| OmniAnomalyTraining data percentage=20%2022.01 | 0.8131 | 0.9879 | |
| MSCREDTraining data percentage=20%2022.01 | 0.805 | 0.9811 | |
| TimesNet2023.07 | 0.7152 | — | |
| Stationary Transformer2023.07 | 0.7109 | — | |
| FITS2023.07 | 0.7074 | — | |
| Dlinear2023.07 | 0.6926 | — | |
| LightTS2023.07 | 0.6921 | — | |
| OCSVM2023.07 | 0.5634 | — | |
| IForest2023.07 | 0.5553 | — | |
| LSTM-NDTTraining data percentage=20%2022.01 | 0.5418 | 0.7007 | |
| MERLINTraining data percentage=20%2022.01 | 0.2725 | 0.7426 | |
| IMP2023.07 | -0.2595 | — |