The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
"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
Tagged:
0
