[MRG] EHN add note to create balanced RF #373
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@@ Coverage Diff @@ ## master #373 +/- ## ========================================== - Coverage 98.74% 98.74% -0.01% ========================================== Files 68 68 Lines 3899 3897 -2 ========================================== - Hits 3850 3848 -2 Misses 49 49
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| @chkoar here it goes |
amueller reviewed Dec 7, 2017
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| It also possible to turn a balanced bagging classifier into a balanced random | ||
| forest using a decision tree classifier and setting the parameter | ||
| ``max_features='auto'`. It allows to randomly select a subset of features for |
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Thanks for adding the example, I think it's very helpful! (I just linked my students to it ;)
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We will try to find sometime to check the sickit-learn PR to push it further
glemaitre added a commit that referenced this pull request Dec 7, 2017
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Reference Issue
closes #372
What does this implement/fix? Explain your changes.
Documentation note to create a balanced random forest from the balanced bagging classifier.
Any other comments?