From: Cough event classification by pretrained deep neural network
# layers | # hidden units | Sens. | Spec. | F1 | Mac. Ave. | Mic. Ave. |
---|---|---|---|---|---|---|
1 | 512 | 0.804 | 0.906 | 0.678 | 0.855 | 0.892 |
1 | 1024 | 0.793 | 0.917 | 0.691 | 0.855 | 0.899 |
1 | 1536 | 0.799 | 0.915 | 0.692 | 0.857 | 0.899 |
1 | 2048 | 0.794 | 0.917 | 0.693 | 0.856 | 0.9 |
2 | 512 | 0.793 | 0.914 | 0.685 | 0.853 | 0.896 |
2 | 1024 | 0.794 | 0.919 | 0.695 | 0.857 | 0.901 |
2 | 1536 | 0.803 | 0.916 | 0.695 | 0.859 | 0.9 |
2 | 2048 | 0.804 | 0.921 | 0.705 | 0.863 | 0.905 |
3 | 512 | 0.792 | 0.912 | 0.682 | 0.852 | 0.895 |
3 | 1024 | 0.793 | 0.914 | 0.686 | 0.853 | 0.897 |
3 | 1536 | 0.811 | 0.911 | 0.691 | 0.861 | 0.897 |
3 | 2048 | 0.8 | 0.915 | 0.691 | 0.857 | 0.898 |
4 | 512 | 0.791 | 0.916 | 0.688 | 0.853 | 0.898 |
4 | 1024 | 0.803 | 0.914 | 0.691 | 0.858 | 0.898 |
4 | 1536 | 0.801 | 0.916 | 0.694 | 0.859 | 0.9 |
4 | 2048 | 0.782 | 0.921 | 0.693 | 0.852 | 0.902 |
Baseline Method | 0.945 | 0.767 | 0.563 | 0.856 | 0.792 |