I am using sklearn to estimate a random forest classifier. Out of curiosity I have set
max_depth=1. Everything else is left untouched.
I would expect the feature importance, which I get via
feture_importances_ to consist of only 1 value. However, the feature_importance has values for all values of my features. How can that be possible and what am I missing?