Computer scienceData scienceMachine learningRegression

Regularized regression

Model selection

Report a typo

In which of the following situations you would select Ridge (with L2 regularization) regression over Lasso (with L1 regularization)?

Select one or more options from the list

You have a univariate regression task

You assume that some of the features strongly correlate with other features

You have filtered out correlated features, and all the remaining features contain moderate amount of noise

You assume that some of the features entirely consist of noise (i.e., many of them are irrelevant)

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