L1 regularization tends to encourage:
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Short Explanation
L1 pushes weights to zero → sparse linear models / built-in selection vibe.
Full Explanation
L2 shrinks but usually keeps dense weights.
Select an answer to reveal the explanation.
L1 pushes weights to zero → sparse linear models / built-in selection vibe.
L2 shrinks but usually keeps dense weights.