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Within Session Ssvep On Kalunga2016 Moabb

Métriques

Accuracy

training time (s)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	training time (s)	Paper Title	Repository
EEGITNet	24.79779866666667	6.9656671333333335	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
TRCA	34.20391266666667	0.27882464583333333	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_TS + SVM	68.94949916666667	0.130249698	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNet-8,2	43.5187945	7.561273683333333	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	54.420178166666666	6.559657266666666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
CCA	33.87684483333333	0.07858161266666668	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_TS + LR	70.86472991666666	0.13897842158333332	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_MDM	70.89385925	0.16333881583333335	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNeX	31.35680125	10.771992875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Ssvep On Kalunga2016 Moabb | SOTA | HyperAI