ElasticNet Regression: Revision history

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3 February 2024

  • curprev 00:1300:13, 3 February 2024‎ Ai talk contribs‎ 2,697 bytes +2,697‎ Created page with "== Introduction == ElasticNet Regression is a type of regression analysis method that combines the properties of both Ridge Regression and Lasso Regression. It is a regularized regression method that linearly combines the L1 and L2 penalties of the Lasso and Ridge methods. == Overview == The ElasticNet Regression method was proposed by Zou and Hastie in 2005. The main goal of this method is to overcome th..."
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