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Job_Fair_data_science | Question 14
When performing feature selection, what is the purpose of using Recursive Feature Elimination (RFE) in a machine learning pipeline?
(A)
To select features based on their correlation with the target variable
(B)
To iteratively remove less important features from the model
(C)
To handle missing values in the dataset
(D)
To perform dimensionality reduction using principal component analysis
Answer
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