Fig. B.4

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Distribution of incorrect classifications for the IE – YE, JE – HE method of B20 ((left column) and the u – IE, IE – JE method of B20 (centre column) To allow a direct comparison between the u – IE, IE – JE and our machine-learning selection method, we show results from our pipeline under conditions equivalent to those used for the B20 u – IE, IE – JE method: Galaxy photometric redshifts are included as a feature to be trained on; only galaxies detected in u, IE, and JE are used; only galaxies in the redshift ranges 0 < z < 1 and 0 < z < 1.5 are used for the Wide and Deep catalogues, respectively. In each panel, we include the values of the F1-score, precision, recall, and @ metrics.
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