Anomaly Detection on Synthetic Gaussian mixture datasets global anomalies
1F1 Score
TACTIC
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.03 | 1 | - | |
2026.03 | 1 | - | |
2026.03 | 1 | - | |
2026.03 | 0.9987 | - | |
2026.03 | 0.998 | - | |
2026.03 | 0.9947 | - | |
2026.03 | 0.994 | - | |
2026.03 | 0.994 | - | |
2026.03 | 0.9927 | - | |
2026.03 | 0.9926 | - | |
2026.03 | 0.9817 | - | |
2026.03 | 0.9771 | - | |
2026.03 | 0.9484 | - | |
2026.03 | 0.9312 | - | |
2026.03 | 0.9308 | - | |
2026.03 | 0.9081 | - | |
2026.03 | 0.9054 | - | |
2026.03 | 0.8999 | - | |
2026.03 | 0.8949 | - | |
2026.03 | 0.8709 | - | |
2026.03 | 0.8604 | - | |
2026.03 | 0.8415 | - | |
2026.03 | 0.81 | - | |
2026.03 | 0.8089 | - | |
2026.03 | 0.8087 | - | |
2026.03 | 0.8074 | - | |
2026.03 | 0.8058 | - | |
2026.03 | 0.8013 | - | |
2026.03 | 0.7998 | - | |
2026.03 | 0.7447 | - | |
2026.03 | 0.7362 | - | |
2026.03 | 0.6319 | - | |
2026.03 | 0.4996 | - | |
2026.03 | 0.4836 | - | |
2026.03 | 0.4032 | - | |
2026.03 | - | 1 | |
2026.03 | - | 5 | |
2026.03 | - | 5 | |
2026.03 | - | 4 | |
2026.03 | - | 5 | |
2026.03 | - | 5 | |
2026.03 | - | 4 | |
2026.03 | - | 10 | |
2026.03 | - | 6 | |
2026.03 | - | 9 |