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Table 4.

Average evaluation metrics in the test set compared with using a filter set adapted according to the wavelength coverage available in other surveys: Euclid, LSST, DES, and Roman.

Test set

Survey Algorithm F1-Score Accuracy Precision Recall
All filters LightGBM 0.870 ± 0.012 0.872 ± 0.012 0.889 ± 0.015 0.851 ± 0.011
XGBoost 0.866 ± 0.011 0.869 ± 0.011 0.885 ± 0.014 0.845 ± 0.011
CatBoost 0.863 ± 0.012 0.866 ± 0.010 0.882 ± 0.008 0.845 ± 0.022
Euclid LightGBM 0.714 ± 0.014 0.722 ± 0.013 0.735 ± 0.014 0.693 ± 0.016
XGBoost 0.714 ± 0.016 0.724 ± 0.019 0.740 ± 0.025 0.690 ± 0.012
CatBoost 0.719 ± 0.010 0.728 ± 0.015 0.745 ± 0.026 0.694 ± 0.005
LSST LightGBM 0.864 ± 0.008 0.867 ± 0.008 0.887 ± 0.009 0.842 ± 0.010
XGBoost 0.866 ± 0.006 0.869 ± 0.006 0.890 ± 0.010 0.842 ± 0.010
CatBoost 0.861 ± 0.008 0.865 ± 0.006 0.887 ± 0.008 0.838 ± 0.018
DES LightGBM 0.797 ± 0.013 0.802 ± 0.014 0.819 ± 0.021 0.777 ± 0.007
XGBoost 0.797 ± 0.009 0.802 ± 0.011 0.821 ± 0.018 0.774 ± 0.004
CatBoost 0.800 ± 0.007 0.806 ± 0.007 0.825 ± 0.014 0.777 ± 0.014
Roman LightGBM 0.825 ± 0.009 0.829 ± 0.010 0.846 ± 0.016 0.805 ± 0.011
XGBoost 0.827 ± 0.008 0.831 ± 0.008 0.847 ± 0.010 0.809 ± 0.010
CatBoost 0.823 ± 0.010 0.828 ± 0.010 0.845 ± 0.017 0.803 ± 0.017

Notes. The standard deviations for each metric are also included.

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