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Within Session Erp On Sosulski2019 Moabb

Métriques

AUC-ROC

training time (s)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC-ROC	training time (s)	Paper Title	Repository
EEGNeX	86.17639538461539	292.10557615384613	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	78.35273161538461	215.27583423076925	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNet-8,2	87.13865323076924	169.22427923076924	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + TS + SVM	87.28411109999999	4.33317254	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov + MDM	68.16548655	12.6986916875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov(svd_n=4) + MDM	70.632222375	1.6276701575	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWN + LDA	67.48655605	7.327161445	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGITNet	88.82306907692308	254.26117153846155	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + MDM	86.07416710000001	2.812111245	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Erp On Sosulski2019 Moabb | SOTA | HyperAI