HyperAI超神经

Within Session Erp On Cattan2019 Vr Moabb

评估指标

AUC-ROC
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

模型名称
AUC-ROC
CO2 Emission (g)
training time (s)
Paper TitleRepository
XDAWNCov + TS + SVM90.6777775750.0080655870750.85638401025The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet80.03306880952381-13.902749985714287The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM88.5296873750.00172263433750000020.18693414675The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA67.1592014750.00339903144750.3639022155The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet89.4212960952381-22.83087557142857The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM80.6748255750.00279645186250.30020958225The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX89.3339950952381-23.31658614285714The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,286.3244051904762-15.87339438095238The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM80.7573790.00674254822500000050.7168895120000001The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
0 of 9 row(s) selected.