SHU-MI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Motor Imagery Classification | SHU-MI | Balanced Accuracy64.03 | 22 | |
| Motor Imagery Classification | SHU-MI 2-Class | Balanced Accuracy64.31 | 10 | |
| Motor Imagery Decoding | SHU-MI 2-Class (cross-subject) | AUROC71.24 | 10 | |
| Motor Imagery Classification | SHU-MI (test) | Balanced Accuracy63.78 | 6 | |
| EEG Classification | SHU-MI 2-Class 11,988 Samples | Balanced Accuracy61.66 | 5 |
Showing 5 of 5 rows