Which of the following is NOT a method of feature selection?
Practice Questions
Q1
Which of the following is NOT a method of feature selection?
Recursive feature elimination
Lasso regression
Principal component analysis
Random forest feature importance
Questions & Step-by-Step Solutions
Which of the following is NOT a method of feature selection?
Step 1: Understand what feature selection means. Feature selection is the process of selecting a subset of relevant features (variables) for use in model construction.
Step 2: Identify methods of feature selection. Common methods include filter methods, wrapper methods, and embedded methods.
Step 3: Learn about dimensionality reduction techniques. These techniques reduce the number of features but do not select them. An example is Principal Component Analysis (PCA).
Step 4: Compare feature selection methods with dimensionality reduction techniques. PCA is used to transform features into a lower-dimensional space, rather than selecting specific features.
Step 5: Conclude that PCA is NOT a feature selection method, but rather a dimensionality reduction technique.
