Answer / Namrata

Ridge regression is favorable over Lasso regression when the goal is to find a model with lower bias. Ridge regression tends to produce coefficients that are more spread out, but it does not perform feature selection like Lasso regression. However, ridge regression can help in solving multi-collinearity issues.

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