L1 with L2 Regularization is a method commonly used in traditional machine learning to reduce generalization errors. The following is about the two. The right way is:
A.
L1 Regularization can do feature selection
B.
L1 with L2 Regularization can be used for feature selection
C.
L2 Regularization can do feature selection
D.
L1 with L2 Regularization cannot be used for feature selection
Chosen Answer:
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