A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning

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Volume 675 (July 2023)

A&A, 675 (2023) A159

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Table 4

Results of the cross-validated two-class model on all the data and the individual fields.

All data

	Precision	Recall	F1-score

SFG	0.92+0.01	0.96+0.01	0.94+0.01
AGN	0.87+0.02	0.79+0.02	0.83+0.02

Macro average	0.90+0.02	0.87+0.02	0.88+0.02
Weighted average	0.91+0.01	0.91+0.01	0.91+0.01

Boötes

	Precision	Recall	F1-score

SFG	0.91+0.01	0.94+0.01	0.93+0.01
AGN	0.86+0.02	0.80+0.02	0.83+0.02

Macro average	0.89+0.02	0.87+0.02	0.88+0.02
Weighted average	0.90+0.01	0.90+0.01	0.90+0.01

Lockman Hole

	Precision	Recall	F1-score

SFG	0.92+0.01	0.96+0.01	0.94+0.01
AGN	0.87+0.02	0.79+0.03	0.83+0.02

Macro average	0.90+0.02	0.87+0.03	0.88+0.02
Weighted average	0.91+0.02	0.91+0.01	0.91+0.01

ELAIS-N1

	Precision	Recall	F1-score

SFG	0.93+0.01	0.96+0.01	0.94+0.01
AGN	0.87+0.02	0.77+0.03	0.82+0.03

Macro average	0.90+0.02	0.87+0.03	0.88+0.02
Weighted average	0.92+0.01	0.92+0.01	0.92+0.01

Notes. The macro average takes the unweighted mean of the two values above, resulting in a class-balanced metric. The weighted average weights each value by its fraction in the dataset. Values and errors are derived by the eight-fold cross-validation.

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