Question: The default is penalty = l 2 . Why would using L 2 regularization potentially improve your model s performance against penalty = None? Under
The default is penaltyl Why would using L regularization potentially improve your models
performance against penaltyNone?
Under what circumstances might L regularization be more beneficial than L
How does the Elastic Net regularization combine the benefits of L and L regularization? Why might you choose it over L or L alone?
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