While Lasso is powerful, it has several limitations:
Selection Bias: Lasso may sometimes miss important variables, especially if they are highly correlated with other variables in the dataset. Computationally Intensive: For very large datasets, the computational demand can be significant. Parameter Tuning: The performance of Lasso depends on the choice of the regularization parameter, which requires careful tuning.
