Within Session Erp On Cattan2019 Vr Moabb
評価指標
AUC-ROC
CO2 Emission (g)
training time (s)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | AUC-ROC | CO2 Emission (g) | training time (s) |
---|---|---|---|
the-largest-eeg-based-bci-reproducibility-1 | 90.677777575 | 0.008065587075 | 0.85638401025 |
the-largest-eeg-based-bci-reproducibility-1 | 80.03306880952381 | - | 13.902749985714287 |
the-largest-eeg-based-bci-reproducibility-1 | 88.529687375 | 0.0017226343375000002 | 0.18693414675 |
the-largest-eeg-based-bci-reproducibility-1 | 67.159201475 | 0.0033990314475 | 0.3639022155 |
the-largest-eeg-based-bci-reproducibility-1 | 89.4212960952381 | - | 22.83087557142857 |
the-largest-eeg-based-bci-reproducibility-1 | 80.674825575 | 0.0027964518625 | 0.30020958225 |
the-largest-eeg-based-bci-reproducibility-1 | 89.3339950952381 | - | 23.31658614285714 |
the-largest-eeg-based-bci-reproducibility-1 | 86.3244051904762 | - | 15.87339438095238 |
the-largest-eeg-based-bci-reproducibility-1 | 80.757379 | 0.0067425482250000005 | 0.7168895120000001 |