| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| BCI Competition IV 2a I (cross-subject) | BFM-MSDA | Average Accuracy86.17 | 17 | 1d ago | |
| GigaDB Dataset II | BFM-MSDA | Subject 1 Accuracy80.52 | 11 | 2mo ago | |
| Dataset II (cross-subject) | BFM-MSDA | Subject Accuracy (S1)80.52 | 11 | 2mo ago | |
| SHU-MI 2-Class (cross-subject) | CodeBrain | AUROC71.24 | 10 | 1mo ago | |
| BCIC IV-2a (test) | MAtt | Accuracy74.71 | 8 | 3mo ago | |
| EEGMMI (Leave-One-Subject-Out) | EVA-Net | Accuracy72.3 | 6 | 1d ago | |
| BCIC-IV-2a (subject-dependent (session-independent)) | Accuracy78.5 | 5 | 1d ago | ||
| EEGMMI (pooled-subject K-fold cross-validation) | EVA-Net | Accuracy76.1 | 5 | 1d ago |
