Within Session Erp On Lee2019 Erp 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 | 96.45206821296297 | 0.13853210805555555 | 28.108453657407406 |
| the-largest-eeg-based-bci-reproducibility-1 | 74.43493880555556 | 0.6299353016666667 | 127.87080321296297 |
| the-largest-eeg-based-bci-reproducibility-1 | 97.85841548148149 | - | 109.5753095 |
| the-largest-eeg-based-bci-reproducibility-1 | 98.40814827777777 | 0.17517531703703704 | 18.539845689814815 |
| the-largest-eeg-based-bci-reproducibility-1 | 82.47109035185186 | 0.09060789349074073 | 9.584082125 |
| the-largest-eeg-based-bci-reproducibility-1 | 77.4085946574074 | - | 4598.484442222222 |
| the-largest-eeg-based-bci-reproducibility-1 | 96.81215804629629 | - | 468.54065999999995 |
| the-largest-eeg-based-bci-reproducibility-1 | 97.70259957407407 | 0.04369601411111111 | 8.865101517592594 |
| the-largest-eeg-based-bci-reproducibility-1 | 70.27269508333333 | - | 6374.80394962963 |