Gabriel Peyré on X: "Elastic net (Zou , Hastie, 2005) interpolates between the Lasso (l1 regularization) and Ridge regression (l2 regularization). The regularization path of Lasso is polygonal. The one of elastic
![lasso - Geometrical interpretation of why can't ridge regression shrink coefficients to 0? - Cross Validated lasso - Geometrical interpretation of why can't ridge regression shrink coefficients to 0? - Cross Validated](https://i.stack.imgur.com/0fPcu.png)
lasso - Geometrical interpretation of why can't ridge regression shrink coefficients to 0? - Cross Validated
![9 Preventing overfitting: ridge regression, LASSO, and elastic net - Machine Learning with R, the tidyverse, and mlr 9 Preventing overfitting: ridge regression, LASSO, and elastic net - Machine Learning with R, the tidyverse, and mlr](https://drek4537l1klr.cloudfront.net/rhys/v-4/Figures/CH09_FIG_8_MLR.png)
9 Preventing overfitting: ridge regression, LASSO, and elastic net - Machine Learning with R, the tidyverse, and mlr
![LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model | by Amy @GrabNGoInfo | Towards AI LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model | by Amy @GrabNGoInfo | Towards AI](https://miro.medium.com/v2/resize:fit:924/0*39QAqCAFrxqwWr3w.png)
LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model | by Amy @GrabNGoInfo | Towards AI
![LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model | by Amy @GrabNGoInfo | Towards AI LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model | by Amy @GrabNGoInfo | Towards AI](https://miro.medium.com/v2/resize:fit:1400/0*YMGs-i0amSz_DHQM.png)