Lasso Regression, Economic Growth, Macroeconomics, Alpha, Tejapi Data Analysis.
short as Lasso, is mainly used for variable selection and regularization in Regression. The function of “Penalty” setting would in Lasso lets us adjust the complexity. Therefore, with Lasso, we are able to alleviate “Overfitting”. Penalty in the model is used to determine the weights between