Kizspy | Question: 17
(Choose 1 answer)
In the context of linear regression, what is the purpose of regularization techniques such as Lasso and Ridge?
A. To increase the complexity of the model
B. To add noise to the dataset
C. To reduce overfitting and stabilize coefficient estimates
D. To introduce non-linearity in the regression relationship
