GitHub user yang1young opened a pull request:
https://github.com/apache/spark/pull/6611
SPARK-8078
In Spark MLlib, Decision Trees use Gini impurity, Entropy and Variance as
impurity. The Entropy impurity implement by calculating the Info Gain, which
is put forward by J. Ross Quinlan in ID3 algorithm. And it can be improved by
implementing C4.5 algorithm,which using Info Gain Ratio instead of Info Gain to
calculate impurity. By implementing C4.5 algorithm, the Decision Trees model
can achieve higher forecast accuracy in most cases.
https://issues.apache.org/jira/browse/SPARK-8078
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yang1young/spark my_change
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6611.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6611
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commit f86987573987cd34164d4c9ce2eff012a8a47419
Author: yang1young <[email protected]>
Date: 2015-06-03T11:47:14Z
change_1
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