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Decision Tree using RapidMiner

tanthiamhuattanthiamhuat Member Posts: 4 Contributor I
edited July 2019 in Help
Can anyone explain to me in what circumstances do we use different criteria (gain_ratio, informaton_gain, gini_index, accuracy) for the Decision Tree?
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Answers

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,055  RM Data Scientist
    Hi,

    in the end those are different implementations. There is good reasons for them, but noone can tell you before hand which works best. This is somehow the difference between stats and data science. Simply try them out and measure performance in a X-Validation.

    ~Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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