How does Ridge regression differ in the way it penalizes large coefficients compared to Lasso?
- Both eliminate coefficients
- Both reduce coefficients
- Ridge eliminates coefficients, Lasso reduces them
- Ridge reduces coefficients, Lasso eliminates them
Ridge regularization reduces the size of coefficients but keeps them non-zero, while Lasso can eliminate some coefficients by setting them to zero.
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