Table 3.
Performance of classifier models at distinguishing ACS patients and HCs.
| Model Type | Features | Accuracy | AUC | Sensitivity | Specificity |
|---|---|---|---|---|---|
|
| |||||
| Logistic | OG | 0.649 | 0.708 | 0.571 | 0.750 |
| Random Forests | OG | 0.757 | 0.804 | 0.761 | 0.750 |
| Logistic | New | 0.784 | 0.830 | 0.857 | 0.687 |
| Random Forests | New | 0.486 | 0.533 | 0.523 | 0.437 |
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.