10000 DOC Note missing value support as advantage of decision trees (#26928) · scikit-learn/scikit-learn@2b0eef8 · GitHub
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DOC Note missing value support as advantage of decision trees (#26928)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
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doc/modules/tree.rst

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@@ -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.
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be removed. Some tree and algorithm combinations support
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: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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