HyperAI초신경

Within Session Erp On Braininvaders2015A

평가 지표

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

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
AUC-ROC
CO2 Emission (g)
training time (s)
Paper TitleRepository
ERPCov(svd_n=4) + MDM77.920985658914730.00526647939302325560.560524827751938The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + TS + SVM93.053811116279080.0104363111620155042.1127921527131783The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX87.61770750387598-199.32986724031008The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA76.015504992248070.00390473941860465130.7962977278294574The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,286.79717793023256-14.414908054263565The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet90.70906591472868-19.85593708914729The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM92.565962534883710.00243713792248062030.4988526374418605The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM80.017168077519390.0194489810116279043.9502074596899224The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet59.55947582945736-15.322640255813955The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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