How do I choose the right regularization technique for my model?
An example of an AI chatbot conversation about choosing regularization techniques for models.
How do I choose the right regularization technique for my model?
Choosing the right regularization technique depends on your model type and the nature of your data. Are you using linear regression or a more complex model?
I'm using linear regression, but I'm worried about overfitting.
In that case, Lasso (L1 regularization) or Ridge (L2 regularization) could be effective. Lasso can also help with feature selection.
What if I have a lot of features?
If you have many features, Lasso might be preferable as it can reduce the number of features by setting some coefficients to zero.
Are there any situations where I shouldn't use regularization?
Yes, if your model is already simple and not overfitting, adding regularization might unnecessarily complicate it.
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