SPARK-8078 #6611
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SPARK-8078 #6611
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Can one of the admins verify this patch? |
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All of these lines don't match the project code style. Please read https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
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Mind giving this a more descriptive title that includes [MLLIB]? |
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OK, if you're closing this JIRA, do you mind closing this PR? |
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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