Enriching Neural Models with Targeted Features for Dementia Detection
Table 3: Performance of evaluated models.
['[BOLD] Approach', '[BOLD] Accuracy', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1', '[BOLD] AUC', '[BOLD] TN', '[BOLD] FP', '[BOLD] FN', '[BOLD] TP']
As is demonstrated, our proposed model achieves the highest performance in Accuracy, Precision, Recall, F1, and AUC. It outperforms the state of the art (C-LSTM) by 5.2%, 7.1%, 4.9%, 2.6%, and 3.7%, respectively.