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1 parent 902dbdc commit 50d8ac2Copy full SHA for 50d8ac2
doc/modules/ensemble.rst
@@ -86,8 +86,8 @@ slightly greater increase in bias::
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>>> clf = ExtraTreesClassifier(n_estimators=10, max_depth=None,
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... min_split=1, random_state=0)
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>>> scores = cross_val_score(clf, X, y)
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- >>> scores.mean() # doctest: +ELLIPSIS
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- 0.999...
+ >>> scores.mean() > 0.999
+ True
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The main parameters to adjust when using these methods is ``n_estimators``
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and ``max_features``. The former is the number of trees in the
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