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Within Session Erp On Lee2019 Erp 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

Paper TitleRepository
XDAWNCov + TS + SVM98.408148277777770.1751753170370370418.539845689814815The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,297.85841548148149-109.5753095The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM97.702599574074070.043696014111111118.865101517592594The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet96.81215804629629-468.54065999999995The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA96.452068212962970.1385321080555555528.108453657407406The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM82.471090351851860.090607893490740739.584082125The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet77.4085946574074-4598.484442222222The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM74.434938805555560.6299353016666667127.87080321296297The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX70.27269508333333-6374.80394962963The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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Within Session Erp On Lee2019 Erp Moabb | SOTA | HyperAI超神经