Within Session Erp On Huebner2017 Moabb
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 | 98.07393668421052 | 0.02386866539473684 | 4.846665142105263 |
| the-largest-eeg-based-bci-reproducibility-1 | 97.74267144736841 | 0.12781473060526316 | 25.946418210526314 |
| the-largest-eeg-based-bci-reproducibility-1 | 96.20552692105264 | 0.03857930394736842 | 4.081931507894737 |
| the-largest-eeg-based-bci-reproducibility-1 | 95.78304654054055 | - | 675.4294938108109 |
| the-largest-eeg-based-bci-reproducibility-1 | 98.68678031578948 | 0.06488028365789474 | 10.07638602631579 |
| the-largest-eeg-based-bci-reproducibility-1 | 79.73031656756756 | - | 4185.744198918919 |
| the-largest-eeg-based-bci-reproducibility-1 | 94.469262 | 0.13750907568421053 | 27.91168176315789 |
| the-largest-eeg-based-bci-reproducibility-1 | 90.959699 | - | 1543.135988162162 |
| the-largest-eeg-based-bci-reproducibility-1 | 98.28146008108108 | - | 73.38250045945946 |