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Classification performance of support vector machines and random forest classifier.
| PHQ-9a≥11 vs PHQ-9≤10 classification performance | Support vector machines, radial basis function kernel | Random forest classifier, ntrees = 450 |
| Accuracy | 59.4 | 61.5 |
| Sensitivity | 72.5 | 62.3 |
| Specificity | 47.3 | 60.8 |
aPHQ-9: Personal Health Questionnaire (self-reported depression survey).
