Table 2.
Positive and negative cases in the training, validation, calibration, and test/evaluation data.
| Dataset | Partition/experimental role | Depression-positive (n) | Depression-negative/control (n) | Total (N) | Use in R-GCRED |
|---|---|---|---|---|---|
| DAIC-WOZ | Official training partition | 31 | 76 | 107 | Source benchmark training data |
| Official development/validation partition | 12 | 23 | 35 | Validation and model-development data | |
| Official test partition | 14 | 33 | 47 | Source benchmark test data | |
| Complete cohort | 57 | 132 | 189 | Participant-level five-fold CV cohort | |
| Model-development portion per CV iteration | 45–46 | 105–106 | 151–152 | Model development within five-fold CV | |
| Held-out evaluation fold per CV iteration | 11–12 | 26–27 | 37–38 | Held-out cross-validation evaluation only | |
| CLEF eRisk 2025 Task 2 | Held-out evaluation cohort | 102 | 807 | 909 | Longitudinal early-detection evaluation |
| 10% timeline observation | 102 | 807 | 909 | Evaluation using first 10% of each user's timeline | |
| 25% timeline observation | 102 | 807 | 909 | Evaluation using first 25% of each user's timeline | |
| 50% timeline observation | 102 | 807 | 909 | Evaluation using first 50% of each user's timeline | |
| 100% timeline observation | 102 | 807 | 909 | Full-timeline evaluation |