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Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?
in Data Science & Statistics by Bronze Status (8,638 points) | 108 views

1 Answer

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L1 regularizations penalize the model for having a parameter, while L2 penalizes the model for having a parameter with a large magnitude.

L1 penalizes variables more than L2 which squares errors thereby seeing higher error and minimizing that squared error.
by Diamond (40,336 points)

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