Table 3 DNN results for multi-label data with respect to different number of units
From: Deep learning architectures for multi-label classification of intelligent health risk prediction
Units Per Layer | Accuracy (%) | Precision | Recall | F-Score |
|---|---|---|---|---|
 35 | 92.07 | 0.915 | 0.867 | 0.823 |
 256 | 91.34 | 0.919 | 0.854 | 0.798 |
 512 | 91.80 | 0.917 | 0.865 | 0.819 |