Within Session Ssvep On Lee2019 Ssvep Moabb
Métriques
Accuracy
CO2 Emission (g)
training time (s)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy | CO2 Emission (g) | training time (s) |
|---|---|---|---|
| the-largest-eeg-based-bci-reproducibility-1 | 74.81818181818181 | 0.11398800675324675 | 15.961555350649352 |
| the-largest-eeg-based-bci-reproducibility-1 | 88.58333333333334 | 0.10468667306481481 | 14.65914484722222 |
| the-largest-eeg-based-bci-reproducibility-1 | 69.3611111111111 | - | 33.26947674074074 |
| the-largest-eeg-based-bci-reproducibility-1 | 93.80555555555556 | - | 191.3021131111111 |
| the-largest-eeg-based-bci-reproducibility-1 | 97.77777777777777 | 0.25070370964814814 | 35.42286275 |
| the-largest-eeg-based-bci-reproducibility-1 | 64.42592592592592 | - | 13.879997119444445 |
| the-largest-eeg-based-bci-reproducibility-1 | 89.44444444444444 | 0.11153871532407408 | 15.61881037037037 |
| the-largest-eeg-based-bci-reproducibility-1 | 90.97222222222221 | 0.010103892560185186 | 1.415124501851852 |
| the-largest-eeg-based-bci-reproducibility-1 | 86.8425925925926 | - | 23.24565614351852 |