Table 4.
Performance of classifier models at distinguishing ACS patients and HCs, with age included as a covariate in the model.
| Model Type | Features | Accuracy | AUC | Sensitivity | Specificity |
|---|---|---|---|---|---|
|
| |||||
| Logistic | OG | 0.703 | 0.810 | 0.667 | 0.750 |
| Random Forests | OG | 0.865 | 0.836 | 0.857 | 0.875 |
| Logistic | New | 0.703 | 0.839 | 0.761 | 0.625 |
| Random Forests | New | 0.595 | 0.685 | 0.571 | 0.625 |
Abbreviations: ACS, Alzheimer’s clinical syndrome; AUC = area under the curve of receiver operating characteristics; HCs, healthy elderly controls; OG = 13 semantic features used in Ostrand and Gunstad (2021) re-computed over the current dataset.