Within Session Erp On Huebner2017 Moabb

评估指标

AUC-ROC
CO2 Emission (g)
training time (s)

评测结果

各个模型在此基准测试上的表现结果

模型名称
AUC-ROC
CO2 Emission (g)
training time (s)
Paper TitleRepository
XDAWNCov + MDM98.073936684210520.023868665394736844.846665142105263The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
XDAWN + LDA97.742671447368410.1278147306052631625.946418210526314The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
ERPCov(svd_n=4) + MDM96.205526921052640.038579303947368424.081931507894737The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGITNet95.78304654054055-675.4294938108109The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
XDAWNCov + TS + SVM98.686780315789480.0648802836578947410.07638602631579The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGNeX79.73031656756756-4185.744198918919The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
ERPCov + MDM94.4692620.1375090756842105327.91168176315789The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
ShallowConvNet90.959699-1543.135988162162The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
EEGNet-8,298.28146008108108-73.38250045945946The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark-
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Within Session Erp On Huebner2017 Moabb | SOTA | HyperAI超神经