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Within Session Ssvep On Mamem3 Moabb

Metriken

Accuracy

CO2 Emission (g)

training time (s)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Accuracy	CO2 Emission (g)	training time (s)	Paper Title	Repository
SSVEP_TS + LR	42.1	0.026997567	1.46499837	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_MDM	34.4	0.028922213000000002	1.56297961	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
SSVEP_TS + SVM	40.199999999999996	0.0252171588	1.36490621	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNeX	24.8	-	22.5295867	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNet-8,2	27.500000000000004	-	5.74253287	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	33.1	-	5.90452088	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
TRCA	27.1	0.0317322511	4.44355459	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGITNet	25.0	-	6.796000050000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
CCA	22.800000000000004	0.00131271061	0.183953595	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Ssvep On Mamem3 Moabb | SOTA | HyperAI