Which of the following is a common technique used in feature selection?
Practice Questions
Q1
Which of the following is a common technique used in feature selection?
Principal Component Analysis (PCA)
K-Means Clustering
Support Vector Machines (SVM)
Random Forest Regression
Questions & Step-by-Step Solutions
Which of the following is a common technique used in feature selection?
Step 1: Understand what feature selection means. It is the process of choosing important features (variables) from your data that help in making predictions.
Step 2: Learn about Principal Component Analysis (PCA). PCA is a method that reduces the number of features while keeping the most important information.
Step 3: Recognize that PCA can help in feature selection by identifying which features contribute the most to the data's variance.
Step 4: Conclude that PCA is a common technique used in feature selection because it simplifies the data while retaining essential features.
