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LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model
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LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model

Last Updated on July 26, 2023 by Editorial Team

Author(s): Amy @GrabNGoInfo

Originally published on Towards AI.

Choosing among LASSO, Ridge, and Elastic Net Regularization by comparing their performances

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Photo by NordWood Themes on Unsplash

LASSO (Least Absolute Shrinkage and Selection Operator) is also called L1 regularization, and Ridge is also called L2 regularization. Elastic Net is the combination of LASSO and Ridge. All three are techniques commonly used in machine learning to correct overfitting.

In this tutorial, we will cover

What’s the difference between LASSO (L1), Ridge (L2), and Elastic Net?How to run LASSO for classification model using Python sklearn?How to run Ridge for the classification model?How to run Elastic Net for the classification model?How to compare the performance of… Read the full blog for free on Medium.

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