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"Decision Tree Parameters"
truetaurus
Member Posts: 4 
Contributor I
Hello
I was wondering if somebody would kindly explain to me the different parameters I can use on a standard decision tree. By parameters I mean the following: Criterion, minimal size for split, minimal leaf size, minimal gain, maximal depth, confidence.
How would I determine what those parameters should be? and for what reason would a parameter be what it is?
My test case is a set of attributes related to a person bank account such as Account type, credit history, months at bank, employed, housing, savings account type, credit standing, etc. How would I best set up the parameters to best create a decision tree?
Thank you
I was wondering if somebody would kindly explain to me the different parameters I can use on a standard decision tree. By parameters I mean the following: Criterion, minimal size for split, minimal leaf size, minimal gain, maximal depth, confidence.
How would I determine what those parameters should be? and for what reason would a parameter be what it is?
My test case is a set of attributes related to a person bank account such as Account type, credit history, months at bank, employed, housing, savings account type, credit standing, etc. How would I best set up the parameters to best create a decision tree?
Thank you
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