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Parameters in SVM

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Parameters in SVM

I am practicing on Rapidminer. When I redo the Credit Risk Modeling example in NEW PROCESS, although I input kernel gamma = 5.0 and C = 100.0 in Support Vector Machine (SVM), both will change to infinity after I run the process. The result is therefore different from what example shows. I couldn't find the reason, hope someone can help.  

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1 REPLY
RMStaff

Re: Parameters in SVM

Dear hmhsing,

 

the Credit Risk template uses a Optimize Parameters around. This Optimize overwrites the concrete settings of the SVM. If you want to change it, you need to change the settings of optimize Parameters.

 

~Martin

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Head of Data Science Services at RapidMiner