Table 1. Model performance obtained by the 10-fold CV (top) where the mean (standard deviation) are reported, and evaluated on test set (bottom) for AD classification using acoustic features.
Bold indicates the best overall performance for the metric.
Model | Accuracy | Precision | Recall | F1 | |
---|---|---|---|---|---|
10-fold CV | SVC | 0.697 (0.095) | 0.722 (0.091) | 0.660 (0.120) | 0.678 (0.084) |
LR | 0.632 (0.120) | 0.645 (0.136) | 0.656 (0.131) | 0.647 (0.121) | |
RF | 0.668 (0.101) | 0.705 (0.156) | 0.704 (0.114) | 0.686 (0.084) | |
Test Set | SVC | 0.634 | 0.657 | 0.622 | 0.639 |
LR | 0.620 | 0.600 | 0.618 | 0.609 | |
RF | 0.746 | 0.771 | 0.730 | 0.750 |