Table 7 Analysis of DL model based on Binary classification.
From: Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection
Models | Accuracy | Recall | Precision | F1 score |
|---|---|---|---|---|
LR | 0.8933 ± 0.0029 | 0.8795 ± 0.0037 | 0.8656 ± 0.0039 | 0.8725 ± 0.0035 |
DNN | 0.8990 ± 0.0063 | 0.8833 ± 0.0079 | 0.8791 ± 0.0065 | 0.8812 ± 0.0069 |
MLP | 0.7355 ± 0.0028 | 0.6850 ± 0.0045 | 0.6453 ± 0.0047 | 0.6646 ± 0.0038 |
AE | 0.8438 ± 0.0064 | 0.8254 ± 0.0072 | 0.8004 ± 0.0095 | 0.8127 ± 0.0081 |
CNN | 0.9179 ± 0.0044 | 0.8917 ± 0.0057 | 0.9083 ± 0.0059 | 0.8992 ± 0.0053 |
