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Within Session Ssvep On Lee2019 Ssvep Moabb

Métriques

Accuracy

CO2 Emission (g)

training time (s)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	CO2 Emission (g)	training time (s)	Paper Title	Repository
SSVEP_MDM	74.81818181818181	0.11398800675324675	15.961555350649352	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_TS + SVM	88.58333333333334	0.10468667306481481	14.65914484722222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	69.3611111111111	-	33.26947674074074	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNeX	93.80555555555556	-	191.3021131111111	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
TRCA	97.77777777777777	0.25070370964814814	35.42286275	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNet-8,2	64.42592592592592	-	13.879997119444445	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_TS + LR	89.44444444444444	0.11153871532407408	15.61881037037037	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
CCA	90.97222222222221	0.010103892560185186	1.415124501851852	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGITNet	86.8425925925926	-	23.24565614351852	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Ssvep On Lee2019 Ssvep Moabb | SOTA | HyperAI