HyperAI

Within Session Ssvep On Nakanishi2015 Moabb

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Accuracy
CO2 Emission (g)
training time (s)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Accuracy
CO2 Emission (g)
training time (s)
Paper TitleRepository
SSVEP_MDM78.765432111111110.105139407111111115.3561836The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
TRCA99.197530777777790.042487033777777775.9494875333333335The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX82.65431844444444-35.36092722222222The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,244.135803-4.711782822222222The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet57.469136-6.811167988888889The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
CCA92.530863777777780.0071139112222222230.9963089366666666The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + SVM86.296295777777770.079780091222222224.098129833333334The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + LR87.222222111111110.089598957666666664.598894566666667The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet80.86419722222222-8.040663722222222The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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