Table 3.
Data set | Model | SE | SP | ACC | AUC | MCC | F1-score |
---|---|---|---|---|---|---|---|
Test set 1 | Model 1 | 0.779 | 0.732 | 0.752 | 0.819 | 0.505 | 0.774 |
Model 2 | 0.746 | 0.786 | 0.769 | 0.826 | 0.529 | 0.798 | |
Model 3 | 0.713 | 0.750 | 0.734 | 0.790 | 0.460 | 0.766 | |
Model 4 | 0.745 | 0.732 | 0.738 | 0.801 | 0.473 | 0.764 | |
Model 5 | 0.713 | 0.768 | 0.745 | 0.813 | 0.479 | 0.777 | |
Consensus model | 0.787 | 0.797 | 0.793 | 0.830 | 0.580 | 0.817 | |
Test set 2 | Model 1 | 0.673 | 0.899 | 0.816 | 0.839 | 0.596 | 0.860 |
Model 2 | 0.673 | 0.876 | 0.801 | 0.880 | 0.565 | 0.848 | |
Model 3 | 0.577 | 0.854 | 0.752 | 0.840 | 0.452 | 0.813 | |
Model 4 | 0.692 | 0.865 | 0.801 | 0.857 | 0.568 | 0.846 | |
Model 5 | 0.673 | 0.831 | 0.773 | 0.862 | 0.509 | 0.822 | |
Consensus model | 0.692 | 0.899 | 0.823 | 0.872 | 0.612 | 0.865 |
Bold numbers refer to the maximum value (optimum value) obtained from the corresponding evaluation index