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Table 5 Result table with pretrained neural network on PI.

From: Cough event classification by pretrained deep neural network

# layers # hidden units Sens. Spec. F1 Macro Ave. Mic. Ave.
1 512 0.823 0.904 0.724 0.864 0.89
1 1024 0.83 0.911 0.738 0.87 0.896
1 1536 0.828 0.909 0.735 0.869 0.895
1 2048 0.818 0.913 0.735 0.865 0.896
2 512 0.836 0.909 0.739 0.872 0.896
2 1024 0.822 0.91 0.733 0.866 0.894
2 1536 0.824 0.912 0.736 0.868 0.896
2 2048 0.816 0.911 0.731 0.864 0.894
3 512 0.827 0.907 0.731 0.867 0.893
3 1024 0.835 0.904 0.73 0.869 0.892
3 1536 0.833 0.904 0.73 0.869 0.892
3 2048 0.831 0.906 0.732 0.869 0.893
4 512 0.813 0.91 0.727 0.862 0.893
4 1024 0.83 0.905 0.73 0.867 0.892
4 1536 0.829 0.909 0.736 0.869 0.895
4 2048 0.799 0.914 0.726 0.857 0.894
Baseline method 0.971 0.765 0.632 0.868 0.801