Question: When fitting a support vector machine ( SVM ) with a linear kernel, we allow for a soft - margin budget of 5 2 -
When fitting a support vector machine SVM with a linear kernel, we allow for a softmargin budget of given this constraint, what is the maximum percentage of slack variables that will have a value greater than assuming an x training data matrix?
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