Anomaly Recognition on ARFBench 1.0 (test)
87.2Overall Accuracy
Model-Expert Oracle
Updated 1mo ago
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
2026.04 | 87.2 | 96.4 | 80.3 | 90.5 | 82.8 | 89 | 77.1 | 86.3 | |
2026.04 | 72.7 | 89.3 | 67.7 | 71.4 | 64.6 | 76.1 | 64.5 | 60.9 | |
2026.04 | 69.7 | 80.4 | 63.2 | 72 | 60.7 | 68 | 59.9 | 59 | |
| 63.9 | 84.7 | 55.6 | 64.6 | 48.9 | 66.3 | 48.4 | 43.5 | ||
2026.04 | 62.7 | 82 | 55.9 | 62.5 | 51.9 | 66.9 | 51.2 | 47.5 | |
2026.04 | 61.3 | 81.1 | 54.2 | 61.3 | 51.4 | 62.6 | 50.4 | 48.4 | |
2026.04 | 58.1 | 82.9 | 51 | 56.5 | 49.6 | 67.8 | 49.7 | 43.4 | |
2026.04 | 56.9 | 84.7 | 50.3 | 53.8 | 46.6 | 69.8 | 44.9 | 40.5 | |
2026.04 | 56.4 | 82.6 | 45.2 | 57.9 | 43.9 | 66.1 | 39.6 | 40.3 | |
2026.04 | 54.8 | 88.3 | 52.3 | 45.9 | 46.7 | 65.8 | 49.1 | 38.2 | |
2026.04 | 52.8 | 80.2 | 46.7 | 49.2 | 45.1 | 65.1 | 41.9 | 41.3 | |
| 48.8 | 82.9 | 47.4 | 38.7 | 33.9 | 60 | 43.6 | 16.4 | ||
2026.04 | 47.9 | 80.9 | 35.1 | 48.6 | 36.1 | 55.7 | 31.5 | 33.8 | |
2026.04 | 47.9 | 80.2 | 50.3 | 34.8 | 44 | 65.1 | 48 | 33.1 | |
2026.04 | 47.2 | 83.8 | 43.5 | 38.4 | 37.9 | 63.2 | 40.6 | 26.9 | |
2026.04 | 47.2 | 79.3 | 49 | 34.8 | 42.4 | 64.2 | 43.8 | 33.8 | |
2026.04 | 45.3 | 80.2 | 40.8 | 37.8 | 34.7 | 63.5 | 36.1 | 23.6 | |
2026.04 | 45.1 | 84.7 | 30.1 | 45.6 | 17.3 | 45.9 | 12.3 | 12.5 | |
2026.04 | 31.1 | 60.4 | 26.5 | 25.5 | 22.1 | 48.1 | 20 | 15.4 | |
2026.04 | 24.5 | 50 | 20 | 20 | 22.5 | 45.6 | 20.5 | 16.8 | |
2026.04 | 0.8 | 0 | 2 | 0 | 1.2 | 0 | 3 | 0 |