Which of the following is a method for feature selection?

Practice Questions

Q1
Which of the following is a method for feature selection?
  1. K-means clustering
  2. Recursive Feature Elimination
  3. Gradient Descent
  4. Support Vector Machines

Questions & Step-by-Step Solutions

Which of the following is a method for feature selection?
  • Step 1: Understand what feature selection means. It is the process of choosing important variables (features) for your model.
  • Step 2: Learn about Recursive Feature Elimination (RFE). It is a technique used to select features.
  • Step 3: Know that RFE works by starting with all features and then removing the least important ones one by one.
  • Step 4: Repeat the removal process until you have the desired number of features left.
  • Step 5: The features that remain are considered the most important for your model.
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