SMAP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | SMAP (test) | Precision94.7 | 35 | |
| Time Series Anomaly Detection | SMAP | Precision93.96 | 32 | |
| Time Series Anomaly Detection | SMAP | Affiliation F198.83 | 29 | |
| Anomaly Detection | SMAP | F1 Score96.69 | 27 | |
| Time Series Anomaly Detection | SMAP (test) | Affiliation Precision69.5 | 25 | |
| Anomaly Detection | SMAP | F10.9669 | 23 | |
| Anomaly Detection | SMAP | Precision93.17 | 21 | |
| Anomaly Detection | SMAP | Precision94.75 | 20 | |
| Multivariate Time Series Anomaly Detection | SMAP | Precision39.44 | 19 | |
| Anomaly Detection | SMAP 44 (test) | F1 Score0.7288 | 16 | |
| Anomaly Detection | SMAP | Precision95.1 | 15 | |
| Anomaly Detection | SMAP | F1 Score0.7118 | 13 | |
| Anomaly Detection | SMAP | Training Time (s)3.55 | 11 | |
| Anomaly Detection | SMAP | F1PA85.67 | 9 | |
| Anomaly Detection | SMAP (test) | F10 Score41.74 | 9 | |
| Early Detection | SMAP | Precision38.21 | 9 | |
| Anomaly Detection | SMAP | F1 Score75.27 | 9 | |
| Anomaly Detection | SMAP Time Series | F1 (Point Adjustment)75.27 | 9 | |
| Proactive Anomaly Detection | SMAP True Labels (test) | F1 @ K35 | 3 | |
| Anomaly Detection | SMAP | Acc99.21 | 3 | |
| Anomaly Detection | SMAP | Accuracy89.39 | 1 |
Showing 21 of 21 rows