Changes in SQUEzE performance (f₁ score) when training with the different number of magnitude bins. The magnitude bins are r ∈ (17.0, 24.3] for the model with one bin (blue lines), r ∈ (17.0, 22.5] and r ∈ (22.5, 24.3] for the model with two bins (orange lines), and r ∈ (17.0, 20.0], r ∈ (20.0, 22.5], r ∈ (22.5, 23.6], and r ∈ (23.6, 24.3] for the model with four bins (green lines). The left (right) panel shows the performance for the low (high) redshift quasars. The fiducial model, with four bins, is the best performing.