Rapid Miner vs R Decision Tree Classification

NatalySimth
NatalySimth New Altair Community Member
edited November 5 in Community Q&A
Is there are any differences between the decision tree models generated in RapidMiner and R? Is there a comparison between them?

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  • varunm1
    varunm1 New Altair Community Member
    edited September 2019 Answer ✓
    Hello @NatalySimth

    The decision tree mainly depends on splitting criteria. The algorithms like java implementation of CART /C4.5 kicks in Rapidminer based on your selection of criterion like Gain ratio or Gini Index. These are similar to the R implementation of CART. The criterion plays major role in deciding the DT algorithm rather than a package unless they are a modified version of the default algorithms.

    I am not sure there are threads on this community that compared both settings. If you are looking to compare, be sure to set all the hyperparameters same in both environments.  You can also use the R-scripting operator in rapidminer to do the same using R.

Answers

  • varunm1
    varunm1 New Altair Community Member
    edited September 2019 Answer ✓
    Hello @NatalySimth

    The decision tree mainly depends on splitting criteria. The algorithms like java implementation of CART /C4.5 kicks in Rapidminer based on your selection of criterion like Gain ratio or Gini Index. These are similar to the R implementation of CART. The criterion plays major role in deciding the DT algorithm rather than a package unless they are a modified version of the default algorithms.

    I am not sure there are threads on this community that compared both settings. If you are looking to compare, be sure to set all the hyperparameters same in both environments.  You can also use the R-scripting operator in rapidminer to do the same using R.

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