I'm making a using
DecisionTreeClassifier from SKlearn (v0.21.3) with its default settings, using Python. I do not want regularize it in any way, I want it to overfit as much as possible.
When drawing the tree out I saw that some of the leafs were not pure. Is this normal? Was the tree not able to separate the samples?
... model = DecisionTreeClassifier(criterion="entropy") model = modell.fit(X, y) ...