HyperAI

Within Session Erp On Huebner2017 Moabb

Metrics

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

Results

Performance results of various models on this benchmark

Model Name
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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