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Within Session Ssvep On Nakanishi2015 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	78.76543211111111	0.10513940711111111	5.3561836	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
TRCA	99.19753077777779	0.04248703377777777	5.9494875333333335	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX	82.65431844444444	-	35.36092722222222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2	44.135803	-	4.711782822222222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet	57.469136	-	6.811167988888889	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
CCA	92.53086377777778	0.007113911222222223	0.9963089366666666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + SVM	86.29629577777777	0.07978009122222222	4.098129833333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + LR	87.22222211111111	0.08959895766666666	4.598894566666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet	80.86419722222222	-	8.040663722222222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

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