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Within Session Erp On Braininvaders2014B

Métriques

AUC-ROC

CO2 Emission (g)

training time (s)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC-ROC	CO2 Emission (g)	training time (s)	Paper Title	Repository
ERPCov + MDM	78.56550172972973	0.008591208308108108	1.7454204	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA	83.72681281081081	0.0021593195945945947	0.44246931054054056	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX	83.87045207894737	-	18.323774763157896	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2	80.14453618421052	-	11.691945342105264	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM	91.58241135135135	0.0011774970894594596	0.2431399435135135	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + TS + SVM	91.88114464864864	0.004579043135135135	0.932672401891892	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet	86.26866734210526	-	15.856247092105264	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet	63.752483210526314	-	8.105964836842105	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM	76.47954105405405	0.002490634086486486	0.2674589289189189	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

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