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Within Session Erp On Epflp300 Moabb

Metrics

AUC-ROC
training time (s)

Results

Performance results of various models on this benchmark

Model Name
AUC-ROC
training time (s)
Paper TitleRepository
ShallowConvNet75.55690815.697078703125The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
XDAWN + LDA62.9824882812500063.6105500875The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
XDAWNCov + MDM83.198016071428580.7105525185714285The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGITNet84.099434312528.6127446875The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGNeX84.6883832535.690736875The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
XDAWNCov + TS + SVM84.290811392857143.1239111678571425The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGNet-8,280.384574437515.535605484375The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
ERPCov(svd_n=4) + MDM71.4443041251.2007145884375The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
ERPCov + MDM71.9738311256.942208496875The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
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Within Session Erp On Epflp300 Moabb | SOTA | HyperAI