Skip to main content
. Author manuscript; available in PMC: 2023 Jan 25.
Published in final edited form as: Proceedings (IEEE Int Conf Bioinformatics Biomed). 2021 Dec;2021:470–477. doi: 10.1109/bibm52615.2021.9669654

TABLE V.

Performance of the individual PhyNNs in DeepEn-Phy constructed with different bandwidths (species level).

Smoking Status nMLP nParameter ROC-AUC F1-Score

b = 0.2 472 46,148 0.6762 0.6599
b = 0.4 192 28,248 0.6827 0.6230
b = 0.6 263 32,938 0.6992 0.6739
b = 0.8 104 18,506 0.6738 0.6613
b = 1.0 7 16,213 0.6915 0.3297
b = 1.2 3 16,113 0.6892 0.5370


BMI nMLP nParameter MSE RMSE

b = 0.2 472 12,573 13.1659 3.6285
b = 0.4 192 8,925 13.0051 3.6063
b = 0.6 263 9,847 13.0441 3.6117
b = 0.8 104 7,361 12.7841 3.5755
b = 1.0 7 6,483 13.6776 3.6983
b = 1.2 3 6,447 14.1868 3.7665