Feature importance for an RF classifier with the selection criteria set at an 8 mas minimum separation and a contrast of up to half a magnitude. Features 0 to 3 encode e1 relative errors for each exposure, features 4 to 7 are the same for the e2 component, and features 8 to 11 are the same for the size. The error bar shows the 1σ deviations of the importance of the feature on the learned dataset.
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