Fig. 11
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Feature importance analysis performed on SQUEzE training based on the mean decrease in impurity. Higher values indicate that the feature is more important. From top to bottom, the different panels show the result for the first three magnitude bins, with 17 < r ≤ 20, 20 < r ≤ 22.5, and t22.5 < r ≤ 23.6. The results for the remaining magnitude bin are shown in Fig. 12.
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