In the Scikit-Learn documentation the feature importances are described as
coming from the relative depths features are used as decision nodes,
averaged across trees in the forest. Does anyone know which paper discusses
this method? Breiman's original paper seems to just talk about randomly
permuting the values of each variable and observing the change in the
objective function.
Thanks,
-Gavin
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