Research Article
Inferring Depression and Its Semantic Underpinnings from Simple Lexical Choices
Table 1
Study 1: classification performance metrics.
| Model | PCs | Accuracy | 95% CI | | ROC AUC | Sensitivity | Specificity | Train | Test | Train | Test | Train | Test | Train | Test | Train | Test | Train | Test |
| mDCT | 18 | .61 | .65 | [.56, .67] | [.56, .72] | <.001 | <.001 | .67 | .67 | .61 | .67 | .62 | .63 | mDCT+Demo | 10 | .62 | .66 | [.57, .67] | [.57, .74] | <.001 | <.001 | .66 | .67 | .61 | .69 | .63 | .63 | mGenderAge | ā | .58 | .56 | [.52, .63] | [.48, .65] | <.05 | .07 | .61 | .59 | .53 | .54 | .61 | .59 | mRandomBaseline | 35 | .65 | .54 | [.60, .70] | [.46, .62] | <.001 | .18 | .70 | .49 | .63 | .56 | .68 | .53 |
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The best performing model is highlighted in bold.
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