I would like to interprete the coefficients of a elastic net regression (i'm using function
glmnet()$beta in R).
The coefficients of the elastic net regularized regression are considered as a "biased" coefficient because a L1/L2 penalty added during the calculation.
So my question is, can these biased coefficients represente the pratical significance between the predictors and the response variable? If they can't, how can i transforme these coefficients into a unbiased one?