Performance comparison of different machine learning methods on the human and mouse datasets
Species . | Model . | AUC . | ACC . | AUPR . | F1 . | Rec . | Pre . |
---|---|---|---|---|---|---|---|
Human | LightGBM | 0.850 | 0.776 | 0.854 | 0.774 | 0.765 | 0.783 |
XGBoost | 0.842 | 0.769 | 0.846 | 0.767 | 0.761 | 0.774 | |
RF | 0.829 | 0.763 | 0.832 | 0.759 | 0.746 | 0.772 | |
ExtraTree | 0.825 | 0.758 | 0.828 | 0.753 | 0.738 | 0.769 | |
GBDT | 0.839 | 0.770 | 0.843 | 0.766 | 0.752 | 0.781 | |
SVM | 0.836 | 0.776 | 0.826 | 0.773 | 0.764 | 0.783 | |
Mouse | LightGBM | 0.845 | 0.770 | 0.862 | 0.753 | 0.700 | 0.814 |
XGBoost | 0.830 | 0.765 | 0.851 | 0.754 | 0.719 | 0.791 | |
RF | 0.820 | 0.748 | 0.834 | 0.726 | 0.667 | 0.796 | |
ExtraTree | 0.817 | 0.734 | 0.832 | 0.705 | 0.636 | 0.791 | |
GBDT | 0.832 | 0.757 | 0.848 | 0.737 | 0.679 | 0.805 | |
SVM | 0.831 | 0.773 | 0.839 | 0.754 | 0.697 | 0.822 |
Species . | Model . | AUC . | ACC . | AUPR . | F1 . | Rec . | Pre . |
---|---|---|---|---|---|---|---|
Human | LightGBM | 0.850 | 0.776 | 0.854 | 0.774 | 0.765 | 0.783 |
XGBoost | 0.842 | 0.769 | 0.846 | 0.767 | 0.761 | 0.774 | |
RF | 0.829 | 0.763 | 0.832 | 0.759 | 0.746 | 0.772 | |
ExtraTree | 0.825 | 0.758 | 0.828 | 0.753 | 0.738 | 0.769 | |
GBDT | 0.839 | 0.770 | 0.843 | 0.766 | 0.752 | 0.781 | |
SVM | 0.836 | 0.776 | 0.826 | 0.773 | 0.764 | 0.783 | |
Mouse | LightGBM | 0.845 | 0.770 | 0.862 | 0.753 | 0.700 | 0.814 |
XGBoost | 0.830 | 0.765 | 0.851 | 0.754 | 0.719 | 0.791 | |
RF | 0.820 | 0.748 | 0.834 | 0.726 | 0.667 | 0.796 | |
ExtraTree | 0.817 | 0.734 | 0.832 | 0.705 | 0.636 | 0.791 | |
GBDT | 0.832 | 0.757 | 0.848 | 0.737 | 0.679 | 0.805 | |
SVM | 0.831 | 0.773 | 0.839 | 0.754 | 0.697 | 0.822 |
Note: The top 4 accuracies for each species are shown in bold.
Performance comparison of different machine learning methods on the human and mouse datasets
Species . | Model . | AUC . | ACC . | AUPR . | F1 . | Rec . | Pre . |
---|---|---|---|---|---|---|---|
Human | LightGBM | 0.850 | 0.776 | 0.854 | 0.774 | 0.765 | 0.783 |
XGBoost | 0.842 | 0.769 | 0.846 | 0.767 | 0.761 | 0.774 | |
RF | 0.829 | 0.763 | 0.832 | 0.759 | 0.746 | 0.772 | |
ExtraTree | 0.825 | 0.758 | 0.828 | 0.753 | 0.738 | 0.769 | |
GBDT | 0.839 | 0.770 | 0.843 | 0.766 | 0.752 | 0.781 | |
SVM | 0.836 | 0.776 | 0.826 | 0.773 | 0.764 | 0.783 | |
Mouse | LightGBM | 0.845 | 0.770 | 0.862 | 0.753 | 0.700 | 0.814 |
XGBoost | 0.830 | 0.765 | 0.851 | 0.754 | 0.719 | 0.791 | |
RF | 0.820 | 0.748 | 0.834 | 0.726 | 0.667 | 0.796 | |
ExtraTree | 0.817 | 0.734 | 0.832 | 0.705 | 0.636 | 0.791 | |
GBDT | 0.832 | 0.757 | 0.848 | 0.737 | 0.679 | 0.805 | |
SVM | 0.831 | 0.773 | 0.839 | 0.754 | 0.697 | 0.822 |
Species . | Model . | AUC . | ACC . | AUPR . | F1 . | Rec . | Pre . |
---|---|---|---|---|---|---|---|
Human | LightGBM | 0.850 | 0.776 | 0.854 | 0.774 | 0.765 | 0.783 |
XGBoost | 0.842 | 0.769 | 0.846 | 0.767 | 0.761 | 0.774 | |
RF | 0.829 | 0.763 | 0.832 | 0.759 | 0.746 | 0.772 | |
ExtraTree | 0.825 | 0.758 | 0.828 | 0.753 | 0.738 | 0.769 | |
GBDT | 0.839 | 0.770 | 0.843 | 0.766 | 0.752 | 0.781 | |
SVM | 0.836 | 0.776 | 0.826 | 0.773 | 0.764 | 0.783 | |
Mouse | LightGBM | 0.845 | 0.770 | 0.862 | 0.753 | 0.700 | 0.814 |
XGBoost | 0.830 | 0.765 | 0.851 | 0.754 | 0.719 | 0.791 | |
RF | 0.820 | 0.748 | 0.834 | 0.726 | 0.667 | 0.796 | |
ExtraTree | 0.817 | 0.734 | 0.832 | 0.705 | 0.636 | 0.791 | |
GBDT | 0.832 | 0.757 | 0.848 | 0.737 | 0.679 | 0.805 | |
SVM | 0.831 | 0.773 | 0.839 | 0.754 | 0.697 | 0.822 |
Note: The top 4 accuracies for each species are shown in bold.
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