Q-109. Regularization is an approach for ensuring that models do not become too large or complex, and it is particularly useful when there is a considerable number of highly correlated features. Regularization techniques including:
Exam-Like
A
Ridge regression.
B
LASSO.
C
A hybrid of the Ridge regression and LASSO.
D
All the above.
Powered ByGPT-5.2
##### Q-109. Regularization is an approach for ensuring that models do not become too large or complex, and it is particularly useful when there is a considerable number of highly correlated features. Regularization techniques including: | Financial Risk Manager Part 1 Quiz - LeetQuiz
