8000 [MRG+1] Add note about the size of a random forest model #6276 by Morikko · Pull Request #8437 · scikit-learn/scikit-learn · GitHub
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[MRG+1] Add note about the size of a random forest model #6276 #8437

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Feb 23, 2017
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[MRG+1] Add note about the size of a random forest model #6276 #8437

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DOC: Add note about the size of a random forest model (See #6276)
Morikko Feb 22, 2017
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DOC: Correct note about the size of a random forest model (See #6276)
Morikko Feb 23, 2017
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word choice
jnothman Feb 23, 2017
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7 changes: 7 additions & 0 deletions doc/modules/ensemble.rst
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Expand Up @@ -213,6 +213,13 @@ When using bootstrap sampling the generalization accuracy can be estimated
on the left out or out-of-bag samples. This can be enabled by
setting ``oob_score=True``.

.. note::

The size of the model with the default parameters is :math:`O( M * N * log (N) )`,
where :math:`M` is the number of trees and :math:`N` is the number of samples.
In order to reduce the size of the model, you can change these parameters:
``min_samples_split``, ``min_samples_leaf``, ``max_leaf_nodes`` and ``max_depth``.

Parallelization
---------------

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