Feature Selection 편집하기 (부분)

==Challenges in Feature Selection==
Despite its advantages, feature selection has some challenges:
*'''Risk of Removing Relevant Features''': Poorly chosen criteria may eliminate important features, negatively impacting model performance.
*'''Scalability with Large Datasets''': Feature selection on large or high-dimensional datasets can be computationally intensive.
*'''Dependence on Model Type''': Some methods, such as embedded techniques, are specific to particular model types (e.g., tree-based models), limiting flexibility.