Which of the following is a common technique in feature selection?
Practice Questions
Q1
Which of the following is a common technique in feature selection?
Principal Component Analysis (PCA)
K-means Clustering
Support Vector Machines
Random Forest Regression
Questions & Step-by-Step Solutions
Which of the following is a common technique in feature selection?
Step 1: Understand what feature selection means. It is the process of choosing important variables (features) from your data.
Step 2: Learn about Principal Component Analysis (PCA). It is a technique used to simplify data by reducing the number of features.
Step 3: Know that PCA helps to identify which features are the most important by transforming the original features into new ones called principal components.
Step 4: Realize that PCA can help in selecting features by keeping only the principal components that explain the most variance in the data.
Step 5: Conclude that PCA is a common technique used in feature selection because it helps to reduce complexity while retaining important information.
