Hi, I am training a DecisionTreeClassifier on samples with a large (500) number of features. I find that the tree refuses to grow (and so cannot be used in boosting) unless I remove (zero) some of the features. This seems strange. Any ideas why? I tried fiddling with the settings, now delving into the implementation.
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