From: A time series algorithm to predict surgery in neonatal necrotizing enterocolitis
Loss function | Precision | Recall | F1 score | AP | |
---|---|---|---|---|---|
Cross Entropy | 0.872 ± 0.042 | 0.767 ± 0.060 | 0.815 ± 0.044 | 0.864 ± 0.034 | |
Focal Loss | γ = 1 | 0.952 ± 0.015 | 0.930 ± 0.015 | 0.941 ± 0.012 | 0.978 ± 0.006 |
γ = 2 | 0.949 ± 0.009 | 0.930 ± 0.026 | 0.939 ± 0.015 | 0.967 ± 0.023 | |
γ = 3 | 0.942 ± 0.016 | 0.934 ± 0.023 | 0.937 ± 0.013 | 0.972 ± 0.006 | |
γ = 4 | 0.937 ± 0.013 | 0.926 ± 0.015 | 0.932 ± 0.006 | 0.974 ± 0.014 | |
γ = 5 | 0.941 ± 0.011 | 0.922 ± 0.025 | 0.931 ± 0.013 | 0.974 ± 0.008 | |
γ = 6 | 0.942 ± 0.020 | 0.926 ± 0.023 | 0.933 ± 0.007 | 0.974 ± 0.009 | |
γ = 7 | 0.935 ± 0.037 | 0.871 ± 0.024 | 0.902 ± 0.020 | 0.953 ± 0.016 | |
γ = 8 | 0.884 ± 0.069 | 0.750 ± 0.051 | 0.809 ± 0.034 | 0.857 ± 0.040 |