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H13-311_V3.5 · Question #213

H13-311_V3.5 Question #213: Real Exam Question with Answer & Explanation

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Question

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:

Options

  • AL1 Regularization can do feature selection
  • BL1 with L2 Regularization can be used for feature selection
  • CL2 Regularization can do feature selection
  • DL1 with L2 Regularization cannot be used for feature selection

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