Chapter 5 SVM why should center before LinearSVC
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There was a tip
>The LinearSVC class regularizes the bias term, so you should center the training set first by subtracting its mean
I couldn't find any resource discussing why this is so?
What happens if not centered?
What are the implications of (not) regularizing the bias term?
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