Descriptor | Method | Train AUC | Valid AUC | Test AUC | Accuracy | Precision | Recall | F1-score |
---|---|---|---|---|---|---|---|---|
F46/UniRep | GBM | 1.000 ± 0.000 | 0.624 ± 0.163 | 0.834 | 0.759 | 0.751 | 0.706 | 0.728 |
LGBM | 0.928 ± 0.006 | 0.638 ± 0.166 | 0.830 | 0.746 | 0.719 | 0.729 | 0.724 | |
RF | 1.000 ± 0.000 | 0.594 ± 0.174 | 0.823 | 0.747 | 0.742 | 0.683 | 0.711 | |
XGB | 0.971 ± 0.002 | 0.624 ± 0.166 | 0.826 | 0.752 | 0.728 | 0.729 | 0.729 | |
F46/TAPE | GBM | 1.000 ± 0.000 | 0.669 ± 0.137 | 0.829 | 0.748 | 0.745 | 0.680 | 0.711 |
LGBM | 0.919 ± 0.006 | 0.676 ± 0.147 | 0.826 | 0.746 | 0.720 | 0.726 | 0.723 | |
RF | 1.000 ± 0.000 | 0.654 ± 0.153 | 0.823 | 0.749 | 0.752 | 0.671 | 0.709 | |
XGB | 0.997 ± 0.000 | 0.668 ± 0.151 | 0.831 | 0.748 | 0.727 | 0.718 | 0.722 | |
F46/ESM-1b | GBM | 1.000 ± 0.000 | 0.643 ± 0.154 | 0.830 | 0.755 | 0.746 | 0.704 | 0.724 |
LGBM | 0.882 ± 0.008 | 0.654 ± 0.157 | 0.821 | 0.744 | 0.709 | 0.746 | 0.727 | |
RF | 1.000 ± 0.000 | 0.622 ± 0.169 | 0.826 | 0.750 | 0.748 | 0.680 | 0.713 | |
XGB | 0.954 ± 0.004 | 0.648 ± 0.153 | 0.823 | 0.750 | 0.721 | 0.738 | 0.729 | |
F46/ESM-1v | GBM | 0.985 ± 0.002 | 0.643 ± 0.139 | 0.814 | 0.738 | 0.741 | 0.654 | 0.695 |
LGBM | 0.834 ± 0.010 | 0.657 ± 0.134 | 0.802 | 0.727 | 0.677 | 0.766 | 0.719 | |
RF | 1.000 ± 0.000 | 0.611 ± 0.165 | 0.827 | 0.751 | 0.750 | 0.681 | 0.714 | |
XGB | 0.951 ± 0.003 | 0.643 ± 0.151 | 0.822 | 0.743 | 0.709 | 0.742 | 0.725 |