Data Mining - Elastic Net Model

Thomas Bayes

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In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods.

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Lasso Cv Plot
R - Shrinkage Method (Ridge Regression and Lasso)

Unlike subset and forward stepwise regression, which controls the complexity of a model by restricting the number of variables, ridge regression keeps all the variables in and shrinks the coefficients...



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