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https://issues.apache.org/jira/browse/SPARK-8078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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yangqiao closed SPARK-8078.
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Resolution: Won't Fix
> Spark MLlib Decision Trees Improvement
> --------------------------------------
>
> Key: SPARK-8078
> URL: https://issues.apache.org/jira/browse/SPARK-8078
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.1
> Environment: ubuntu14.04
> Reporter: yangqiao
> Priority: Minor
> Labels: performance
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> 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.
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