Stress Detection on WESAD (LOSO)
96.23AccuracyFine-tuned (5%)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fine-tuned (5%)Category=Fine-tuned, Fine-tuning Data Percentage=5 %, Approximate Samples=~ 40 samples2026.06 | 96.23 | 95.05 | 10.13 | 97.33 | |
| Fine-tuned (1%)Category=Fine-tuned, Fine-tuning Data Percentage=1 %, Approximate Samples=~ 8 samples2026.06 | 88.08 | 84.85 | 2.8 | 70.67 | |
| Retrieval-Augmented Personalization (MOMENT)Category=Retrieval-based Personalization, Model Architecture/Foundation Model=MOMENT2026.06 | 87.91 | 81.83 | 3.21 | 70.67 | |
| Retrieval-Augmented Personalization (Chronos)Category=Retrieval-based Personalization, Model Architecture/Foundation Model=Chronos2026.06 | 87.58 | 81.52 | 3.49 | 78.67 | |
| Retrieval-Augmented Personalization (HuBERT)Category=Retrieval-based Personalization, Model Architecture/Foundation Model=HuBERT2026.06 | 86.94 | 80.91 | 3.3 | 65.33 | |
| Baseline TransformerCategory=Baselines2026.06 | 83.99 | 77.07 | — | — | |
| Chronos + SVMCategory=FM + SVM, Model Architecture/Foundation Model=Chronos2026.06 | 81.19 | 73.87 | — | — | |
| Random ForestCategory=Baselines2026.06 | 80.73 | 75.44 | — | — | |
| MOMENT + SVMCategory=FM + SVM, Model Architecture/Foundation Model=MOMENT2026.06 | 77.12 | 67.28 | — | — | |
| HuBERT + SVMCategory=FM + SVM, Model Architecture/Foundation Model=HuBERT2026.06 | 76.7 | 67.66 | — | — |