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Regularization (L1/L2 intuition)
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743.
Sparsity and L1 Regularization
easy
Which regularization method tends to produce sparse models with many zero coefficients?
A
L1 regularization, because its diamond-shaped constraint region has corners on the axes
B
L2 regularization, because its circular constraint region shrinks all coefficients uniformly toward zero
C
Neither L1 nor L2, since sparsity requires explicit feature selection before model training
D
Both L1 and L2 equally, since both penalties shrink coefficients toward zero during optimization
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