Multiple Instance Learning Classification on MUSK2
97Accuracy
TG-RGMIL [0]D
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2023.07 | 97 | - | |
2026.03 | 96.8 | - | |
2026.03 | 96.8 | - | |
2023.07 | 96.7 | - | |
2026.03 | 96.3 | - | |
2023.07 | 96.2 | - | |
2026.03 | 96.1 | - | |
2023.07 | 95.8 | - | |
2023.07 | 95.4 | - | |
2026.03 | 95.2 | - | |
2023.07 | 93.2 | - | |
2016.10 | 93.1 | - | |
2023.07 | 93 | - | |
2026.03 | 92.8 | - | |
2023.07 | 92.6 | - | |
2023.07 | 92 | - | |
2016.10 | 91.3 | - | |
2016.10 | 90.58 | - | |
2023.07 | 90.5 | - | |
2016.10 | 90.3 | - | |
2016.10 | 90.1 | - | |
2016.10 | 90 | - | |
2016.10 | 89.3 | - | |
2023.07 | 89.2 | - | |
2016.10 | 89.2 | - | |
2026.03 | 87.7 | - | |
2016.10 | 87.7 | - | |
2016.10 | 86.6 | - | |
2023.07 | 86.3 | - | |
2016.10 | 86.3 | - | |
2016.10 | 86.2 | - | |
2023.07 | 85.8 | - | |
2016.10 | 84.9 | - | |
2016.10 | 84.3 | - | |
2016.10 | 83.6 | - | |
2016.10 | 82.5 | - | |
2016.10 | 82 | - | |
2016.10 | 82 | - | |
2024.08 | 81.2 | 81.6 | |
2016.10 | 81.2 | - | |
2016.10 | 80.4 | - | |
2024.08 | 78.9 | 98.5 | |
2024.08 | 78 | 78.4 | |
2024.08 | 71 | 85.5 | |
2024.08 | 70.6 | 81.3 | |
2024.08 | 67.6 | 75.6 | |
2026.06 | - | 82.1 | |
2026.06 | - | 81.3 | |
2026.06 | - | 75.4 | |
2026.06 | - | 79.3 | |
2026.06 | - | 78.6 | |
2026.06 | - | 91.3 | |
2026.06 | - | 83.2 | |
2026.06 | - | 85.4 | |
2026.06 | - | 82.5 | |
2026.06 | - | 75.2 | |
2026.06 | - | 75.3 | |
2026.06 | - | 50.4 | |
2026.06 | - | 87.6 | |
2026.06 | - | 90.8 |