| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ImageCLEF | Ao95 | 20 | 4d ago | ||
| Office-Caltech | Accuracy (Task o)98.61 | 20 | 4d ago | ||
| Office-Home | Metric Ao88.25 | 20 | 4d ago | ||
| Landmine (test) | RMB-CLE-via-LGBM | F1 Score63.5 | 10 | 4d ago | |
| Bank (test) | RMB-CLE-via-LGBM | F1 Score73.8 | 10 | 4d ago | |
| Adult-Race (test) | RMB-CLE-via-LGBM | F1 Score0.815 | 10 | 4d ago | |
| Adult-Gender (test) | RMB-CLE-via-LGBM | F1 Score81.4 | 10 | 4d ago | |
| 30 image classification tasks average (test) | Average Accuracy93.05 | 10 | 4d ago | ||
| Skin-Lesion (gamma = 0%) | Association Graph Learning | Overall Accuracy85.98 | 5 | 4d ago | |
| Skin-Lesion gamma = 33% | Association Graph Learning | Classification Component Am16.58 | 5 | 4d ago | |
| Skin-Lesion gamma = 67% | Association Graph Learning | Metric Am10.82 | 5 | 4d ago |
