Table 9 Experimental results on feature sets extracted using stacked autoencoders.
From: Enhancing crayfish sex identification with Kolmogorov-Arnold networks and stacked autoencoders
Model | Accuracy | Recall | Specificity | Precision | F1-score | MCC |
|---|---|---|---|---|---|---|
MLP | 0.783 | 0.771 | 0.792 | 0.740 | 0.755 | 0.560 |
KNN | 0.796 | 0.759 | 0.824 | 0.768 | 0.764 | 0.584 |
NB | 0.636 | 0.681 | 0.602 | 0.568 | 0.619 | 0.280 |
RF | 0.780 | 0.711 | 0.833 | 0.766 | 0.738 | 0.550 |
SVM | 0.806 | 0.807 | 0.806 | 0.761 | 0.784 | 0.609 |
KAN | 0.819 | 0.807 | 0.829 | 0.784 | 0.795 | 0.634 |
