Which method involves reducing the number of input variables when developing a predictive model?

  • Dimensionality Reduction
  • Feature Expansion
  • Feature Scaling
  • Model Training
Dimensionality reduction is the process of reducing the number of input variables by selecting the most informative ones, combining them, or transforming them into a lower-dimensional space. This helps simplify models and can improve their efficiency and performance.
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