| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Stress Detection Dataset (test) | Accuracy84.4 | 20 | 1mo ago | ||
| SMM4H Task 8 Twitter Stress Detection 2022 (test) | Recall87 | 12 | 5mo ago | ||
| WESAD (LOSO) | Fine-tuned (5%) | Accuracy96.23 | 10 | 1mo ago | |
| Dreaddit Stress D6 (test) | Mental-R1 | Accuracy81.65 | 10 | 1mo ago | |
| WESAD (5-fold stratified cross-val) | XGBoost | AUC99.46 | 4 | 1mo ago | |
| stress | GloVe+DeepMoji | Score0.793 | 4 | 5mo ago |
