Emotion Recognition on FACED 9-Class (test)
63.52Balanced AccuracyTRACE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TRACE2026.05 | 63.52 | 0.5883 | 63.9 | |
| CodeBrain2026.05 | 59.41 | 0.5406 | 59.53 | |
| CBraMod2026.05 | 55.09 | 0.5041 | 56.18 | |
| LaBraM-Base2026.05 | 52.73 | 0.4698 | 52.88 | |
| BIOT2026.05 | 51.18 | 0.4476 | 51.36 | |
| ST-Transformer2026.05 | 48.1 | 0.4137 | 47.95 | |
| CNN-Transformer2026.05 | 46.97 | 0.4017 | 47.2 | |
| FFCL2026.05 | 46.73 | 0.3987 | 46.99 | |
| EEGConformer2026.05 | 45.59 | 0.3858 | 45.14 | |
| EEGNet2026.05 | 40.9 | 0.3342 | 41.24 |