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Regularized regression with scikit-learn

Lasso alpha

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You have the following model:

linear_model.LassoCV(alphas=(0.01, 0.1, 1), cv=5)

If after calling the fit method lasso_cv.alpha_ is equal to 1, what would be your next step?

Select one option from the list

Do not use regularization.

Retrain the model with more CV folds, cv=10.

Search for alpha in a broader range of alphas=(0.1, 1, 2, 10).

Use the trained model as is, it is good enough because we tuned alpha.

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