How do I find which attributes my tree splits on, when using scikit-learn?

Directly from the documentation ( ):

from io import StringIO
out = StringIO()
out = tree.export_graphviz(clf, out_file=out)

StringIO module is no longer supported in Python3, instead import io module.

There is also the tree_ attribute in your decision tree object, which allows the direct access to the whole structure.

And you can simply read it

clf.tree_.children_left #array of left children
clf.tree_.children_right #array of right children
clf.tree_.feature #array of nodes splitting feature
clf.tree_.threshold #array of nodes splitting points
clf.tree_.value #array of nodes values

for more details look at the source code of export method

In general you can use the inspect module

from inspect import getmembers
print( getmembers( clf.tree_ ) )

to get all the object’s elements

Decision tree visualization from sklearn docs

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