Decision Tree: Pre-pruning and Pruning settings

pennypolarbearpennypolarbear Member Posts: 1 Contributor I
edited December 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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    IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Solution Accepted



    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.




    Hope this helps,


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