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Accelerate parameter optimization for SVM
I have used SVMs for a time and a while now but parameter optimization is new to me. With the default parameters the parameter optimization takes quite a while in my case.
So I was wondering which parameters might have the highest influence on the execution time (while keeping a similar performance). I could think of running parameter optimization while logging performance and execution time. However, I wanted to ask if there is a common / better approach...
Looking forward to any comments and feedback.