Which of the following statements is FALSE about Ridge and Lasso Regression?
A. These are types of regularization methods to solve the overfitting problem.
B. Lasso Regression is a type of regularization method.
C. Ridge regression shrinks the coefficient to a lower value.
D. Ridge regression lowers some coefficients to a zero value.
Answer:D
Which of the following statements is FALSE about Ridge and Lasso Regression?
A. These are types of regularization methods to solve the overfitting problem. B. Lasso Regression is a type of regularization method. C. Ridge regression shrinks the coefficient to a lower value. D. Ridge regression lowers some coefficients to a zero value.
Explanation: Ridge regression never drops any feature; instead, it shrinks the coefficients. However, Lasso regression drops some features by making the coefficient of that feature zero. Therefore, the latter is used as a Feature Selection Technique.