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Cattan2019-VR MOABB

아카이브 평가 9건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
XDAWNCov + TS + SVM	AUC-ROC 90.677777575 training time (s) 0.85638401025 CO2 Emission (g) 0.008065587075	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	AUC-ROC 89.4212960952381 training time (s) 22.83087557142857	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	AUC-ROC 89.3339950952381 training time (s) 23.31658614285714	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
XDAWNCov + MDM	AUC-ROC 88.529687375 training time (s) 0.18693414675 CO2 Emission (g) 0.0017226343375000002	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	AUC-ROC 86.3244051904762 training time (s) 15.87339438095238	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ERPCov + MDM	AUC-ROC 80.757379 training time (s) 0.7168895120000001 CO2 Emission (g) 0.0067425482250000005	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ERPCov(svd_n=4) + MDM	AUC-ROC 80.674825575 training time (s) 0.30020958225 CO2 Emission (g) 0.0027964518625	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	AUC-ROC 80.03306880952381 training time (s) 13.902749985714287	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
XDAWN + LDA	AUC-ROC 67.159201475 training time (s) 0.3639022155 CO2 Emission (g) 0.0033990314475	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1