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SOTA
Within-Session ERP
Within Session Erp On Cattan2019 Vr Moabb
Within Session Erp On Cattan2019 Vr 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
XDAWNCov + TS + SVM
90.677777575
0.008065587075
0.85638401025
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet
89.4212960952381
-
22.83087557142857
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX
89.3339950952381
-
23.31658614285714
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM
88.529687375
0.0017226343375000002
0.18693414675
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2
86.3244051904762
-
15.87339438095238
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM
80.757379
0.0067425482250000005
0.7168895120000001
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM
80.674825575
0.0027964518625
0.30020958225
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet
80.03306880952381
-
13.902749985714287
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA
67.159201475
0.0033990314475
0.3639022155
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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Within Session Erp On Cattan2019 Vr Moabb | SOTA | HyperAI