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decison tree show only one non leaf node( who has high in weight) and skip my other attribute ?

shahbano_seshahbano_se Member Posts: 4 Newbie
Am new in rapid miner and use it  for my thesis purpose ,i collected my data on my own effects through questionnaire from different colleges . i want to apply different decision tree algorithms on my data set to collect by result accordingly . but when i put my data for processes i only get one class attribute and one non leaf node ( who has high in weight  ). and skip all other attributes and didn't show the complete tree. for my result .
i need your help .

Answers

  • shahbano_seshahbano_se Member Posts: 4 Newbie
    i select college attribute as my label 
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,157  RM Data Scientist
    Hi,
    did you try to change the (pre)pruning options? Most importantly, lower min_gain?

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • shahbano_seshahbano_se Member Posts: 4 Newbie
    how much min _gain should i selected ?

  • shahbano_seshahbano_se Member Posts: 4 Newbie
    by default it is selected as 0.01
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,157  RM Data Scientist
    0.01 is reasonable, but what happens if you go lower?
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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