Open gitgithan opened 1 year ago
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?
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?