Home
Discussions
Community Q&A
"Using SVM for regression"
Phillip_Koshute
How should the parameters for the SVM process be set so that it performs regression rather than classification? Thanks!
Find more posts tagged with
AI Studio
SVMs
Regression
Accepted answers
All comments
land
Hi,
this depends on the SVM implementation you use. The LibSVM needs to be switched to one of the SVR Modes (first parameter). The standard SVM does this automatically.
Greetings,
Sebastian
Phillip_Koshute
Thanks Sebastian,
I think that I am gaining a better understanding of how SVM may be used for regression. In RapidMiner, I am using the standard SVM operator. I have noticed for the different kernels that there are a variety of parameters. However, it does not seem as though there is much explanation of the significance of each parameter in the RapidMiner Wiki. If possible, could you please point me to any resource that would explain more about these parameters? Alternatively, can you offer a summary of the different parameters?
Thanks very much,
Phil
land
Hi,
these parameters are very much SVM standard. Please refer to any appropriate literature for that, I don't have one right one. You are very invited to share your gained knowledge in the wiki, leaving it for others...
Greetings,
Sebastian
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)