You are working with a logistic regression model to predict the probability that a user will click on
an ad. Your model has hundreds of features, and you’re not sure if all of those features are
helping your prediction. Which regularization technique should you use to prune features that
aren’t contributing to the model?

A.
Convex

B.
Uniform

C.
L2

D.
L1