In LASSO regression, if the regularization parameter $\lambda$ is very large and two informative featuresare highly collinear (i.e., that there exists an $\alpha$ such that $x_{ij} \sim \alpha x_{ij}$ for all $i \in [n]$), then LASSO will assign one of those coefficients to zero while ridge regression never will.
Please enter 1 for True and 0 for False
