ElasticNet Linear Regression uses the penalties of the lasso and ridge techniques to regularize the regression models.
The technique combines both lasso and ridge regression methods by learning from their shortcomings to improve the regularization of statistical models.
Elasticnet regularization is a regularized regression method that linearly combines the L1 and L2 penalties of the Lasso and Ridge methods.
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