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Support Vector Regression not handling nominal attributes
Hello everyone
I have a mostly categorical data except for some attributes icluding the target variable (numerical). I a trying to apply Support Vector Machine on it for a prediction task.
It would be too easy to just apply the operator Nominal to Numerical directly.
I tried the Auto Model to get inspiration from it, but I couldn't really follow what it was doing.
A little help in this would be much appreciated.
Thank you in advance!
I have a mostly categorical data except for some attributes icluding the target variable (numerical). I a trying to apply Support Vector Machine on it for a prediction task.
It would be too easy to just apply the operator Nominal to Numerical directly.
I tried the Auto Model to get inspiration from it, but I couldn't really follow what it was doing.
A little help in this would be much appreciated.
Thank you in advance!
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Answers
Dortmund, Germany
and the difference is only in the way of dealing with the nominal attributes.
did you use the evolutionary feature selection option in AM?
BR,
MArtin
Dortmund, Germany
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts
PS: I used the dummy coding method already.
To share your process (in order we can execute it) :
Note: This solution requires the "XML" panel which can be opened in the "View" menu and then "Show Panel". Activate the XML panel if you did not do this before.
Open your process in RapidMiner and open the XML panel. If you can't find it, make sure to follow the note above.
Copy the XML code from there and paste it somewhere else, for example into a forum post here on the community portal. By the way, if you post your XML here, please use the code environment which you get by clicking on the icon Code in the toolbar of the post.
Can you share your dataset(s) too ?
Regards,
Lionel