Final answer:
Feature Selection using Regularization has limitations such as difficulty in analysis, parameterization, communication, and software/hardware requirements.
Step-by-step explanation:
The limitations of Feature Selection using Regularization include:
- Difficult to analyse: Feature selection using regularization can be complex to analyze due to the use of mathematical techniques such as optimization and regularization parameters.
- Difficult to parameterize: It can be challenging to choose the appropriate regularization parameters for feature selection, as it requires a balance between reducing overfitting and preserving important features.
- Difficult to communicate: The concepts and techniques involved in feature selection using regularization may be difficult to explain or communicate to others, especially those without a strong mathematical background.
- Limited by software and hardware requirements: Implementing feature selection using regularization may require specific software and hardware requirements, which can limit its practicality in certain situations.