DAIC-WOZ
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Depression Detection | DAIC-WOZ (dev) | F1 (avg)90 | 43 | |
| Depression Assessment | DAIC-WOZ | Mean Absolute Error2.4434 | 22 | |
| Depression Detection | DAIC-WOZ | F1 Score79.53 | 17 | |
| Depression Detection | DAIC-WOZ (val) | Accuracy84.75 | 10 | |
| Depression Detection | DAIC-WOZ | Weighted F1-score68.5 | 8 | |
| Depression Detection | DAIC-WOZ (held-out) | F1 Score0.749 | 8 | |
| PHQ-8 score estimation | DAIC-WOZ (test) | MAE (Stage 1)2.89 | 7 | |
| Depression Detection | DAIC-WOZ (cross-validation) | AUC0.689 | 7 | |
| Depression Detection | DAIC-WOZ | Macro F1 Score89.99 | 7 | |
| Sentiment Analysis (SEN) | DAIC–WOZ | Binary Weighted F173.8 | 7 | |
| PII Extraction | DAIC-WOZ (test) | Accuracy (ACC)100 | 6 | |
| Audio Reconstruction Fidelity | DAIC-WOZ | MSE0 | 6 | |
| Depression screening | DAIC-WOZ (In-Sample (IS)) | F1 Score68.7 | 5 | |
| Depression classification | DAIC-WoZ AVEC 2016 benchmark | Accuracy0.914 | 5 | |
| Depression Detection | DAIC-WOZ (train) | Accuracy79 | 4 | |
| Causal Utterance Ranking | DAIC-WOZ (test) | Hit@146.1 | 4 | |
| Depression classification | DAIC-WoZ (K-fold LOSO) | Accuracy0.957 | 4 | |
| Depression Detection | DAIC-WOZ (test) | Weighted Accuracy71.4 | 2 |
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