Suppose we fit “Lasso Regression” to a data set, which has 100 features (X1,X2…X100). Now, we rescale one of these feature by multiplying with 10 (say that feature is X1), and then refit Lasso regression with the same regularization parameter.Now, which of the following option will be correct?

Home / Engineering / Machine Learning (ML) / Question

Mr. Dubey • 51.43K Points
Coach

Q.) Suppose we fit “Lasso Regression” to a data set, which has 100 features (X1,X2…X100).  Now, we rescale one of these feature by multiplying with 10 (say that feature is X1),  and then refit Lasso regression with the same regularization parameter.Now, which of the following option will be correct?

(A) It is more likely for X1 to be excluded from the model

(B) It is more likely for X1 to be included in the model

(D) None of these

Correct answer : Option (B) - It is more likely for X1 to be included in the model

Discusssion

Related MCQs on Machine Learning (ML)

Q. Sub-Properties (sub-types of individual intelligence) of Individual Intelligence includes

Q. Which of the following combination of labels is not allowed for W joint in scene labelling is not allowed

Q. Which of the following views of managerial impact is useful in explaining the high turnover among college and professional sports coaches who can be considered the “managers” of their teams?

Q. _________ is the lease effective methods in isolating the cause of software errors.

Q. Output of following program? #include <iostream> using namespace std; int fun(int=0, int = 0); int main() { cout << fun(5); return 0; } int fun(int x, int y) { return (x+y); }

Q. A piece of icon or image on a web page associated with another webpage is called

Q. wait system call…………

Q. MBO offers the basis for assessing the -----------------.

Q. What are the computers called that performs calculations and comparisons usually in the binary numbering system?

Q. Which of the following is required by K- means clustering?