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Within Session Erp On Braininvaders2015A

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(svd_n=4) + MDM	77.92098565891473	0.0052664793930232556	0.560524827751938	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + TS + SVM	93.05381111627908	0.010436311162015504	2.1127921527131783	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX	87.61770750387598	-	199.32986724031008	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA	76.01550499224807	0.0039047394186046513	0.7962977278294574	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2	86.79717793023256	-	14.414908054263565	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet	90.70906591472868	-	19.85593708914729	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM	92.56596253488371	0.0024371379224806203	0.4988526374418605	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM	80.01716807751939	0.019448981011627904	3.9502074596899224	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet	59.55947582945736	-	15.322640255813955	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

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