E-DAIC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Depression Detection | E-DAIC (test) | F1 Score62 | 20 | |
| Depression Detection | E-DAIC | Accuracy75 | 13 | |
| Depression Assessment | E-DAIC | MAE3.72 | 10 | |
| Binary depression detection | E-DAIC (LOSO) | Macro F172.3 | 3 | |
| Depression severity estimation | E-DAIC PHQ-8 | Mean Absolute Error (MAE)3.85 | 1 |
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