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I've made use of the standardized prepare knowledge set in Lassocv to get optimum lambdas and then computed MSE with standardized test details for every optimum lambda equipped/corresponding lasso design. Then I picked the lambda While using the minimum MSE. $endgroup$
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Elastic Net is an extension of LASSO that mixes $ell_1$ and $ell_2$ regularisation, addressing scenarios wherever LASSO's variable selection is extremely intense. Its aim function is:
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