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Within Session Erp On Bnci2014 009 Moabb

Métriques

AUC-ROC

training time (s)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC-ROC	training time (s)	Paper Title	Repository
EEGNet-8,2	91.3685305	11.758606149999999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + TS + SVM	93.42633376666666	1.2433190566666668	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGITNet	92.20581209999999	14.687204666666666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWN + LDA	64.0324565	0.4082341586666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + MDM	92.0386331	0.31271911366666666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	85.12375750000001	10.642818243333332	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov + MDM	81.155062	1.1838480853333333	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNeX	90.57953203333334	14.724422183333333	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov(svd_n=4) + MDM	84.51730606666668	0.27403514700000003	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Erp On Bnci2014 009 Moabb | SOTA | HyperAI