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Determining value for parameter
Learner III
Please Help Me. I am stuck.
I have a general decision tree and also CHAID and ID-3.
The parameters are
- minimal size for split
- minimal leaf size
- minimal gain
- maximal depth
- confidence
My training data is 400.
Ny features are 6707
My amount of total text is 27910
How can I determine a good value for the parameter without testruns. Testruns would take too much time due to the high enourmous amount of data.
Who has an idea for me?
Thank you!!!
I have a general decision tree and also CHAID and ID-3.
The parameters are
- minimal size for split
- minimal leaf size
- minimal gain
- maximal depth
- confidence
My training data is 400.
Ny features are 6707
My amount of total text is 27910
How can I determine a good value for the parameter without testruns. Testruns would take too much time due to the high enourmous amount of data.
Who has an idea for me?
Thank you!!!
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