| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| BGL | DeBERTa-v3 | F1 Score97.4 | 30 | 21d ago | |
| Thunderbird | FlogTinyLLM | F1 Score99.35 | 20 | 1mo ago | |
| Spirit | CLAD | F1 Score99.98 | 17 | 1mo ago | |
| HDFS | CLAD | F1 Score99.4 | 17 | 1mo ago | |
| CERT Scenario 3 r4.2 | Precision99 | 15 | 3mo ago | ||
| CERT Scenario 2 r4.2 | Ours | Precision97 | 15 | 3mo ago | |
| CERT Scenario 1 r4.2 | Precision99 | 15 | 3mo ago | ||
| Log Anomaly Detection Datasets Summary (test) | CoLog | Mean F1 Score99.987 | 11 | 3mo ago | |
| Casper (test) | CoLog | Precision100 | 11 | 3mo ago | |
| Hadoop | CoLog | Precision99.997 | 11 | 3mo ago | |
| BlueGene/L | CoLog | Precision99.999 | 11 | 3mo ago | |
| Honey7 | Precision1 | 11 | 3mo ago | ||
| Jhuisi (test) | CoLog | Precision100 | 11 | 3mo ago | |
| Nssal | CoLog | Precision99.955 | 11 | 3mo ago | |
| Zookeeper | CoLog | Precision100 | 11 | 3mo ago | |
| 16 Log Sources (cross-domain) | Meta-Learning | Mean F1 Score94.2 | 10 | 3mo ago | |
| Thunderbird (TB) (test) | K4 | AUROC0.999 | 7 | 22d ago | |
| BGL (test) | K4 | AUROC99.9 | 7 | 22d ago | |
| HDFS (test) | K4 | AUROC99.6 | 7 | 22d ago | |
| Thunderbird | Training Time (s)1,633 | 6 | 22d ago | ||
| BGL | Training Time (s)1,587 | 6 | 22d ago | ||
| HDFS | Train Time (s)1,520 | 6 | 22d ago | ||
| Hadoop Dataset | Training Time (Overall, s)7.72 | 6 | 3mo ago | ||
| Liberty | CLAD | Precision99.7 | 4 | 1mo ago | |
| Windows | CoLog | Precision0.9986 | 3 | 3mo ago |
