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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?
The text was updated successfully, but these errors were encountered:
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There was a tip
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?
The text was updated successfully, but these errors were encountered: