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Classifier Performance for Acoustic, Semantic and Combined Models.
| Accuracy | Sens. (95% CI) | Spec. (95% CI) | AUC (95% CI) | |
|---|---|---|---|---|
| Acoustic | 0.81 | 0.89 (0.82–0.94) | 0.70 (0.59–0.79) | 0.82 (0.76–0.88) |
| Semantic | 0.80 | 0.81 (0.72–0.88) | 0.78 (0.67–0.86) | 0.83 (0.77–0.89) |
| Combined | 0.85 | 0.92 (0.84–0.96) | 0.77 (0.66–0.85) | 0.88 (0.83–0.93) |
Bold denotes best scoring model per measure. Legend: Sens.; sensitivity, spec.: specificity, AUC: Area under the curve, CI: confidence interval.
