Lasso Regression, Regression, Regression Analysis, Data Science, Machine Learning.
variables to zero. This leads to variable selection, as only the most informative features are retained in the model. The magnitude of the penalty term, controlled by λ, determines the degree of shrinkage. A larger λ value will lead to more coefficients being set to zero, resulting in a simpler and