[Mne_analysis] SVC with linear kernel or SVC with rbf kernel

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Hi all,
I'm doing classification with CSP components and I'm trying the
support vector machine (svc) with linear kernel and svc with rbf
kernel.
I'm getting always better accuracy with svc with linear kernel than
with rbf kernel.
I expected that the svc with rbf kernel should give better accuracy.
What's the reason?

Thanks in advance for your help