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SOTA
Within-Session ERP
Within Session Erp On Bnci2014 008 Moabb
Within Session Erp On Bnci2014 008 Moabb
Metrics
AUC-ROC
CO2 Emission (g)
training time (s)
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
CO2 Emission (g)
training time (s)
Paper Title
EEGITNet
85.99520425
-
48.9808785
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2
85.91137825
-
31.55059125
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + TS + SVM
85.609029625
0.035406213775
8.160695075
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX
83.856046375
-
47.301771625
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA
82.244593125
0.0257013525
5.2152112625000004
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet
81.07391687500001
-
27.2347555
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM
77.619541
0.0075848861750000005
1.5414688625
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM
75.424771125
0.009542170825
1.014923625
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM
74.298471
0.0120071045
2.4383516875
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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Within Session Erp On Bnci2014 008 Moabb | SOTA | HyperAI