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Results tagged with regularization
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user 59004
Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.
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difference in l1 and l2 regularization
I have seen at different places saying that: l1 regularization penalizes weights more than l2.
But the derivative of l1 norm is $\lambda$ and l2 norm is 2$\lambda$w. … So l1 regularization subtracts smaller value than l2. Then why is it called that l1 penalizes weights more than l2. Or is it incorrect to say it like this? …
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