decision tree

heyjo
New Altair Community Member
Best Answers
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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
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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.
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Answers
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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
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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?
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Hi,group by name and then join it.Best,Martin0
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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 itwould like to learn more on this
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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.
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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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