Why is feature selection important in building machine learning models?

  • All of the Above
  • Enhances Model Interpretability
  • Reduces Overfitting
  • Speeds up Training
Feature selection is important for various reasons. It reduces overfitting by focusing on relevant features, speeds up training by working with fewer features, and enhances model interpretability by highlighting the most important factors affecting predictions.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *