Question

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 1

Explanation:

Among the various options given in question statement the wrong option is the last one. Hence our answer is option D.

In ridge regression, it never drops any feature to zero, there is a possibility of the shrinkage of the coefficients but they never tend to be zero. On the other hand, lasso regression may drop coefficients features to zero