Stress Classification on Stress Classification Dataset
99.94AUCSIGMA-PPG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 99.94 | 98.96 | 97.87 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 98.99 | 97.92 | 95.83 | |
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 98.52 | 94.52 | 93.92 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 98.15 | 95.83 | 91.3 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 96.01 | 89.58 | 82.14 | |
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 95.68 | 88.2 | 79.17 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 92.56 | 88.54 | 79.25 |