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Define some limitations of Feature Selection using Regularization

User Dhilt
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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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.

User Tristan Tarrant
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