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Decision Tree: Pre-pruning and Pruning settings

pennypolarbearpennypolarbear Member Posts: 1 Learner II
edited November 2018 in Help

Trying to do a churn analysis. Following the parameters in the example process, only one node appears in the tree.



Are there any ways to optimally adjust the parameters for pre-pruning (minimal gain etc.) to enlarge the tree as well as prevent over-fitting?

 

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Best Answer

  • IngoRMIngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Solution Accepted

    Hi,

     

    Sometimes it is hard for a decision tree to separate the classes and the tree collapses into a single node.  Please check the following article for ideas how to change parameters to avoid this.  Alternatively, you can also try a different learner of course.

     

    http://community.rapidminer.com/t5/RapidMiner-Studio-Knowledge-Base/My-Decision-Tree-Shows-only-one-...

     

    Hope this helps,

    Ingo

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