Log Anomaly Detection on Zookeeper
100PrecisionCoLog
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CoLogCategory=Supervised2025.12 | 100 | 100 | 100 | 100 | |
| TransformerCategory=Unsupervised2025.12 | 99.89 | 99.416 | 99.652 | 99.361 | |
| pylogsentimentCategory=Supervised2025.12 | 99.722 | 99.898 | 99.81 | 99.973 | |
| Decision TreeCategory=Supervised2025.12 | 98.599 | 98.88 | 98.737 | 98.851 | |
| Logistic RegressionCategory=Supervised2025.12 | 98.369 | 98.464 | 98.416 | 98.562 | |
| Support Vector MachinesCategory=Supervised2025.12 | 97.987 | 97.769 | 97.877 | 98.078 | |
| LSTMCategory=Unsupervised2025.12 | 95.825 | 91.887 | 93.75 | 98.252 | |
| Attentional BiLSTMCategory=Supervised2025.12 | 95.783 | 92.928 | 94.3 | 98.387 | |
| Convolutional Neural NetworkCategory=Supervised2025.12 | 95.121 | 92.662 | 93.85 | 98.252 | |
| Principal Component AnalysisCategory=Unsupervised2025.12 | 79.011 | 51.209 | 42.121 | 66.021 | |
| Isolation ForestCategory=Unsupervised2025.12 | 32.607 | 50 | 39.473 | 65.215 |