Euclid preparation - XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

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Table 5

Classification metrics accuracy A, precision P, recall R, and the unweighted and weighted F₁-scores F₁ and $F_{1}^{⋆}$ $\[F_1^{\star}\]$ for identifying peculiar galaxies in the test set with different confidence thresholds c_th.

c_th	N_total	A	P	R	F₁	$F_{1}^{⋆}$ $\[F_1^{\star}\]$
0.5	402	0.791	0.670	0.829	0.689	0.823
0.75	402	0.915	0.803	0.823	0.812	0.917

Notes. The corresponding confusion matrices are shown in Fig. 18.

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