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Imagine a linear model with 100 input features, all having values
between -1 and 1:
10 are highly informative.
90 are non-informative.
Which type of regularization will produce the smaller model?
L2 regularization.
L2 regularization rarely reduces the number of features.
In other words, L2 regularization rarely reduces the
model size.
L1 regularization.
L1 regularization tends to reduce the number of
features. In other words, L1 regularization often
reduces the model size.
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Last updated 2021-02-05 UTC.
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