Computer scienceData scienceMachine learningRegression

Regularized regression

Alpha

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Which way of choosing regularization parameter $\alpha$ for Ridge and Lasso regression will provide the most reliable results?

Select one option from the list

Try several random parameter values between 0 and 1

Run cross-validation with multiple folds for uniformly sampled parameter values

Use the default parameter value from the software

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