Which of the following is NOT a common technique in feature selection?
Practice Questions
Q1
Which of the following is NOT a common technique in feature selection?
Recursive Feature Elimination
Principal Component Analysis
Random Forest Importance
Gradient Descent
Questions & Step-by-Step Solutions
Which of the following is NOT a common technique in feature selection?
Step 1: Understand what feature selection is. Feature selection is the process of choosing the most important features (variables) from your data to use in a model.
Step 2: Identify common techniques used in feature selection. Some common techniques include filter methods, wrapper methods, and embedded methods.
Step 3: Recognize what Gradient Descent is. Gradient Descent is an optimization algorithm used to minimize the error in a model, not to select features.
Step 4: Compare Gradient Descent with feature selection techniques. Since Gradient Descent is used for optimization and not for selecting features, it is NOT a common technique in feature selection.
