Within Session Erp On Braininvaders2014B
평가 지표
AUC-ROC
CO2 Emission (g)
training time (s)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | AUC-ROC | CO2 Emission (g) | training time (s) |
|---|---|---|---|
| the-largest-eeg-based-bci-reproducibility-1 | 78.56550172972973 | 0.008591208308108108 | 1.7454204 |
| the-largest-eeg-based-bci-reproducibility-1 | 83.72681281081081 | 0.0021593195945945947 | 0.44246931054054056 |
| the-largest-eeg-based-bci-reproducibility-1 | 83.87045207894737 | - | 18.323774763157896 |
| the-largest-eeg-based-bci-reproducibility-1 | 80.14453618421052 | - | 11.691945342105264 |
| the-largest-eeg-based-bci-reproducibility-1 | 91.58241135135135 | 0.0011774970894594596 | 0.2431399435135135 |
| the-largest-eeg-based-bci-reproducibility-1 | 91.88114464864864 | 0.004579043135135135 | 0.932672401891892 |
| the-largest-eeg-based-bci-reproducibility-1 | 86.26866734210526 | - | 15.856247092105264 |
| the-largest-eeg-based-bci-reproducibility-1 | 63.752483210526314 | - | 8.105964836842105 |
| the-largest-eeg-based-bci-reproducibility-1 | 76.47954105405405 | 0.002490634086486486 | 0.2674589289189189 |