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Quiz 10 Question 16 of 20

L1 regularization tends to encourage:

Select an answer to reveal the explanation.

Motivation

Short Explanation and Infographic

L1 pushes weights to zero → sparse linear models / built-in selection vibe.

Full explanation below image

Educational infographic 1024x768 for Databricks ML: regularization l1 sparsity. Clean lakehouse blue/orange diagram style, DBML q196.

Full Explanation

L2 shrinks but usually keeps dense weights.

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