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The Choice of Normalization Influences Shrinkage in Regularized Regression

Larsson, Johan et al.
arXiv (All) · Papers
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g-3machine-learningmethodology
Regularized models are often sensitive to the scales of the features in the data and it has therefore become standard practice to normalize (center and scale) the features before fitting the model. But there are many different ways to normalize the features and the choice may have dramatic effects o
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