I sometimes get weird results with SVM and rbf kernel in terms of false
positive/negative rates.
I suspect there may be numerical issues going on, because I'm not seeing the
same issues with linearSVC.
Does anyone know if rbf is constrained in terms of number of dimensions?
Unfortunately I cannot share the data I am using.
Thank you,
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