Ridge regression primarily uses which penalty? (i) L0 (ii) L2 (iii) L1

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Module 2: Statistical Decision Theory and Bayesian Learning

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Ridge regression primarily uses which penalty? (i) L0 (ii) L2 (iii) L1 (iv) Entropy

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Answer: (ii) L2

Ridge regression minimizes squared error plus an L2 penalty: (\sum_i(y_i-\hat y_i)^2 + \lambda\sum_j\beta_j^2). It shrinks coefficients toward zero but usually does not set them exactly to zero.

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