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Machine Learning

Can we use L1 regularization for feature selection?

Yes, because the nature of L1 regularization will lead to sparse coefficients of features. Feature selection can be done by keeping only features with non-zero coefficients.

Proposed by @Al_Grigor

datasciencetrivia.com

Card 1 of 197. Answer: Yes, because the nature of L1 regularization will lead to sparse coefficients of features. Feature selection can be done by keeping only features with non-zero coefficients.

Created by santiviquez

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