Anomaly Detection on MSL (test) (Precision, Recall, F1)
89.66PrecisionPeri-midFormer
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Peri-midFormer2024.11 | 89.66 | 75.31 | 81.83 | |
| TimesNet2024.11 | 89.54 | 75.36 | 81.84 | |
| PatchTST2024.11 | 88.34 | 70.96 | 78.7 | |
| OmniAnomaly2026.06 | 85.8 | 92.6 | 89.1 | |
| Reformer2024.11 | 85.51 | 83.31 | 84.4 | |
| ETSformer2024.11 | 85.13 | 84.93 | 85.03 | |
| DLinear2024.11 | 84.34 | 85.42 | 84.88 | |
| Pyraformer2024.11 | 83.81 | 85.93 | 84.86 | |
| LightTS2024.11 | 82.4 | 75.78 | 78.95 | |
| GPT4TS2024.11 | 82 | 82.91 | 82.45 | |
| Informer2024.11 | 81.77 | 86.48 | 84.06 | |
| Anomaly2024.11 | 79.61 | 87.37 | 83.31 | |
| Autoformer2024.11 | 77.27 | 80.92 | 79.05 | |
| FEDformer2024.11 | 77.14 | 80.07 | 78.57 | |
| Single-entity HTM2026.06 | 75.6 | 88.4 | 81.5 | |
| LogTrans2024.11 | 73.05 | 87.37 | 79.57 | |
| Transformer2024.11 | 71.57 | 87.37 | 78.68 | |
| Non-stationary Transformer (Station)2024.11 | 68.55 | 89.14 | 77.5 |