Which of the following is a common technique used in feature selection?
Practice Questions
1 question
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
Principal Component Analysis (PCA) is a dimensionality reduction technique that can also be used for feature selection by identifying the most important features.
Questions & Step-by-step Solutions
1 item
Q
Q: Which of the following is a common technique used in feature selection?
Solution: Principal Component Analysis (PCA) is a dimensionality reduction technique that can also be used for feature selection by identifying the most important features.
