Question: In scikit-learn package, when using the Lasso() function, which statement about the parameter alpha iscorrect? When alpha is small, the model has larger bias and

In scikit-learn package, when using the Lasso() function, which statement about the parameter alpha iscorrect? When alpha is small, the model has larger bias and smaller variance When alpha is large, more coeffcients will shrink to zero. Alpha is the number of cross-validation partitions. When alpha is large, more variables will be selected

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