Motor Imagery classification on Stroke 2019 (test)
73.33AccuracyCFSPMNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CFSPMNetEvaluation protocol=LOSO2026.05 | 73.33 | 81.5 | 73.28 | 75.11 | 0.467 | |
| SSASEvaluation protocol=LOSO2026.05 | 65.08 | 68.33 | 64.27 | 64.59 | 0.302 | |
| SSTDAEvaluation protocol=LOSO2026.05 | 63.5 | 53.83 | 58.78 | 52.2 | 0.27 | |
| UA-DANNEvaluation protocol=LOSO2026.05 | 61.75 | 68.33 | 62.11 | 62.86 | 0.235 | |
| MSCFormerEvaluation protocol=LOSO2026.05 | 60.08 | 57 | 66.58 | 52.05 | 0.202 | |
| EEGConformerEvaluation protocol=LOSO2026.05 | 58.17 | 58.17 | 63.73 | 54.67 | 0.163 | |
| SlimSeizEvaluation protocol=LOSO2026.05 | 57.33 | 47.5 | 66.7 | 46.09 | 0.147 | |
| ShallowConvNetEvaluation protocol=LOSO2026.05 | 57.25 | 54.67 | 58.06 | 47.84 | 0.145 | |
| DBConformerEvaluation protocol=LOSO2026.05 | 56.17 | 43 | 63.68 | 38.63 | 0.123 | |
| EEGNetEvaluation protocol=LOSO2026.05 | 55.83 | 50.67 | 61.09 | 46.35 | 0.117 | |
| IFNetEvaluation protocol=LOSO2026.05 | 55.42 | 52 | 60.62 | 51.21 | 0.108 |