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Results tagged with regularization
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user 101008
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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Univariate Regression Coefficients and Multivariate Regression Coefficients
In terms of the Lasso model, I was thinking if we do not apply any normalization so basically the regularization may be too large to the variable with smaller coefficient, relative to the other variable … So if the regularization is large enough, the one with smaller coefficient will be first shrunken to zero.
I am not sure whether my arguments are correct or not. …
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