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PhysioNet-MI

Benchmarks

Task NameDataset NameSOTA ResultTrend
Motor Imagery ClassificationPhysionet-MI
Balanced Accuracy64.57
27
Motor ImageryPhysioNet-MI
Balanced Accuracy72.46
9
Motor Imagery ClassificationPhysionet-MI (test)
Balanced Accuracy64.57
6
Motor Imagery ClassificationPhysioNet-MI 4-class original
Accuracy67.6
3
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