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SOTA
会话内稳态视觉诱发电位
Within Session Ssvep On Nakanishi2015 Moabb
Within Session Ssvep On Nakanishi2015 Moabb
评估指标
Accuracy
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
Columns
模型名称
Accuracy
CO2 Emission (g)
training time (s)
Paper Title
Repository
TRCA
99.19753077777779
0.04248703377777777
5.9494875333333335
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
CCA
92.53086377777778
0.007113911222222223
0.9963089366666666
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + LR
87.22222211111111
0.08959895766666666
4.598894566666667
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_TS + SVM
86.29629577777777
0.07978009122222222
4.098129833333334
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX
82.65431844444444
-
35.36092722222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet
80.86419722222222
-
8.040663722222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
SSVEP_MDM
78.76543211111111
0.10513940711111111
5.3561836
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet
57.469136
-
6.811167988888889
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2
44.135803
-
4.711782822222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
0 of 9 row(s) selected.
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