Table 1 Accuracy, recall, precision, and f1-score values during training, validation, and testing steps for the CNN-Class model
From: Precise biofilm thickness prediction in SWRO desalination from planar camera images by DNN models
Transfer Learning | Learning Rate | Training | |||
|---|---|---|---|---|---|
Accuracy | Recall | Precision | F1-Score | ||
MN | 1.0E-03 | 0.888 ± 0.029 | 0.937 ± 0.005 | 0.925 ± 0.004 | 0.927 ± 0.005 |
MN | 5.0E-04 | 0.895 ± 0.005 | 0.937 ± 0.012 | 0.930 ± 0.016 | 0.933 ± 0.012 |
MN | 1.0E-04 | 0.901 ± 0.030 | 0.947 ± 0.005 | 0.927 ± 0.019 | 0.933 ± 0.009 |
MN | 5.0E-05 | 0.894 ± 0.015 | 0.947 ± 0.005 | 0.920 ± 0.000 | 0.933 ± 0.005 |
MN2 | 1.0E-03 | 0.870 ± 0.021 | 0.937 ± 0.005 | 0.893 ± 0.029 | 0.913 ± 0.012 |
Xception | 1.0E-03 | 0.847 ± 0.008 | 0.910 ± 0.008 | 0.890 ± 0.014 | 0.897 ± 0.012 |
DN121 | 1.0E-03 | 0.870 ± 0.016 | 0.927 ± 0.009 | 0.900 ± 0.016 | 0.913 ± 0.005 |
DN169 | 1.0E-03 | 0.906 ± 0.014 | 0.950 ± 0.000 | 0.930 ± 0.014 | 0.940 ± 0.008 |
DN201 | 1.0E-03 | 0.872 ± 0.009 | 0.937 ± 0.012 | 0.887 ± 0.012 | 0.910 ± 0.000 |
Transfer Learning | Learning Rate | Validation | |||
|---|---|---|---|---|---|
Accuracy | Recall | Precision | F1-Score | ||
MN | 1.0E-03 | 0.877 ± 0.012 | 0.930 ± 0.008 | 0.897 ± 0.005 | 0.911 ± 0.006 |
MN | 5.0E-04 | 0.885 ± 0.010 | 0.923 ± 0.005 | 0.910 ± 0.014 | 0.920 ± 0.008 |
MN | 1.0E-04 | 0.875 ± 0.019 | 0.933 ± 0.019 | 0.893 ± 0.012 | 0.913 ± 0.012 |
MN | 5.0E-05 | 0.871 ± 0.016 | 0.930 ± 0.016 | 0.890 ± 0.008 | 0.910 ± 0.008 |
MN2 | 1.0E-03 | 0.865 ± 0.010 | 0.933 ± 0.012 | 0.883 ± 0.005 | 0.910 ± 0.009 |
Xception | 1.0E-03 | 0.842 ± 0.016 | 0.903 ± 0.021 | 0.877 ± 0.005 | 0.887 ± 0.012 |
DN121 | 1.0E-03 | 0.876 ± 0.003 | 0.923 ± 0.009 | 0.903 ± 0.005 | 0.910 ± 0.000 |
DN169 | 1.0E-03 | 0.885 ± 0.014 | 0.937 ± 0.012 | 0.903 ± 0.009 | 0.920 ± 0.008 |
DN201 | 1.0E-03 | 0.877 ± 0.011 | 0.940 ± 0.008 | 0.890 ± 0.008 | 0.913 ± 0.009 |
Transfer Learning | Learning Rate | Test | |||
|---|---|---|---|---|---|
Accuracy | Recall | Precision | F1-Score | ||
MN | 1.0E-03 | 0.800 ± 0.000 | 1.000 ± 0.000 | 0.710 ± 0.000 | 0.830 ± 0.000 |
MN | 5.0E-04 | 0.767 ± 0.024 | 1.000 ± 0.000 | 0.683 ± 0.019 | 0.810 ± 0.014 |
MN | 1.0E-04 | 0.767 ± 0.024 | 1.000 ± 0.000 | 0.683 ± 0.019 | 0.810 ± 0.014 |
MN | 5.0E-05 | 0.800 ± 0.000 | 1.000 ± 0.000 | 0.710 ± 0.000 | 0.830 ± 0.000 |
MN2 | 1.0E-03 | 0.650 ± 0.071 | 0.967 ± 0.047 | 0.597 ± 0.052 | 0.733 ± 0.048 |
Xception | 1.0E-03 | 0.700 ± 0.041 | 1.000 ± 0.000 | 0.627 ± 0.033 | 0.770 ± 0.024 |
DN121 | 1.0E-03 | 0.783 ± 0.047 | 0.967 ± 0.047 | 0.710 ± 0.043 | 0.817 ± 0.039 |
DN169 | 1.0E-03 | 0.683 ± 0.024 | 0.967 ± 0.047 | 0.613 ± 0.009 | 0.753 ± 0.024 |
DN201 | 1.0E-03 | 0.750 ± 0.041 | 1.000 ± 0.000 | 0.667 ± 0.037 | 0.800 ± 0.024 |
