Parameter tuning for SVM
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Hello,
I have a very basic question. I am doing one vs one SVM classification with 5 different classes. For that I am using RBF Kernel method having two tuning parameters C and gamma. My question is that do we have to select one value of C and gamma for all pair of classes or every pair will have their unique C and unique gamma value based on some validation method?
Thanks