decision tree

heyjoheyjo Member Posts: 4 Newbie
edited July 2021 in Help
1

Best Answers

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,282 RM Data Scientist
    Solution Accepted
    Hi,
    thats our training data set! cool :)
    And of course, you can use group into collection on the first name, then loop collection and Filter Example Range inside. See for example:

    Rapid RapidMiner - 90 Secs Explanation Videos — RapidMiner Community


    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • MarcoBarradasMarcoBarradas Administrator, Employee, RapidMiner Certified Analyst, Member Posts: 246 Unicorn
    Solution Accepted
    Hi @heyjo

    You can find the data in the Training Resources of you RapidMiner Studio.
    In the folder Data go to Hotell App Customer and you'll find all the data set that are used to create the one you have.

    If you want to learn more go to academy.rapidminer.com and follow an take our free courses which use those resources.


Answers

  • heyjoheyjo Member Posts: 4 Newbie
    edited July 2021
    i used aggregate in the loop collection to get the max date 
    but it seems like the other arrtributes are gone. how can i get the attributes with max date together?



  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,282 RM Data Scientist
    Hi,
    group by name and then join it.

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • heyjoheyjo Member Posts: 4 Newbie
    uhm hi, thanks for your reply,
    you said that this is your training dataset!
    do you have the tutorial of handling this dataset? 
    or where can i find it :hushed: would like to learn more on this
  • heyjoheyjo Member Posts: 4 Newbie
    edited July 2021
    good day, i did a decision tree model on my prepped data, which includes 
    -customer id
    -gender
    -age
    -churn 
    -avg transaction value
    -sum transaction value
    -count(paymentmethod) :total numbers of transaction
    -fraction(cheque) : times of transaction using cheque divided by sum(transaction value)
    - fraction(cash)
    - fraction(credit card)
    - maximum(date) :most recent transaction
    -days since : number of days since last transaction or churn

    but the depth of my decision tree model is very less..what should i set in the parameters to make it include more detail?


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