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1 parent 1090121 commit 2b0eef8Copy full SHA for 2b0eef8
doc/modules/tree.rst
@@ -27,8 +27,8 @@ Some advantages of decision trees are:
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- Requires little data preparation. Other techniques often require data
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normalization, dummy variables need to be created and blank values to
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- be removed. Note however that this module does not support missing
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- values.
+ be removed. Some tree and algorithm combinations support
+ :ref:`missing values <tree_missing_value_support>`.
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- The cost of using the tree (i.e., predicting data) is logarithmic in the
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number of data points used to train the tree.
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