What is feature selection?

Updated May 17, 2026

Short answer

Feature selection chooses important variables for model training.

Deep explanation

It improves performance by removing irrelevant or redundant features.

Real-world example

Used in fraud detection systems.

Common mistakes

  • Removing important correlated features.

Follow-up questions

  • Difference from PCA?
  • Why is it important?

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