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Table 17.

Relative feature importances (rescaled to add to 100) for base algorithms in each prediction step.

AGN-galaxy model (CatBoost)
Feature Importance Feature Importance
gbc 49.709 xgboost 14.046
et 19.403 rf 8.981
Remaining feature importances: 7.861

Radio detection model (GBC)
Feature Importance Feature Importance

rf 12.024 catboost 7.137
et 7.154 xgboost 6.604
Remaining importances: 67.081

Redshift prediction model (ET)
Feature Importance Feature Importance

xgboost 25.138 catboost 21.072
gbr 21.864 rf 13.709
Remaining importances: 18.217

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