What is the role of feature selection in high dimensions?
Updated May 15, 2026
Short answer
It removes irrelevant or redundant features.
Deep explanation
Feature selection reduces dimensionality before modeling, improving speed and generalization.
Real-world example
Genomics selecting relevant genes.
Common mistakes
- Keeping all features 'just in case'.
Follow-up questions
- Filter vs wrapper methods?
- Does selection improve interpretability?