Research Article
Inferring Depression and Its Semantic Underpinnings from Simple Lexical Choices
Table 2
Study 2: 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 | 10 | .59 | .60 | [.54, .64] | [.53, .68] | <.001 | <.01 | .58 | .58 | .57 | .55 | .61 | .66 | mDCT+Demo | 24 | .63 | .62 | [.58, .68] | [.55, .70] | <.001 | <.001 | .70 | .62 | .66 | .60 | .60 | .65 | mGenderAge | ā | .59 | .53 | [.54, .64] | [.45, .61] | <.001 | .25 | .61 | .60 | .61 | .58 | .58 | .48 | mRandomBaseline | 8 | .55 | .55 | [.50, .60] | [.47, .63] | <.05 | .10 | .59 | .52 | .57 | .59 | .54 | .51 |
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The best performing model is highlighted in bold.
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