Affect Classification on Affect Classification Dataset
86.2AUCSIGMA-PPG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 86.2 | 65.62 | 68.05 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 85.16 | 60.42 | 64.81 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 84.07 | 61.46 | 65.06 | |
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 76.3 | 70.79 | 55.82 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 71.94 | 47.92 | 45.42 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 71.45 | 48.96 | 51.47 | |
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 69.45 | 50 | 47.35 |