Q11
What is the primary purpose of feature scaling in machine learning?
A.
To increase model complexity
B.
To add more features to the dataset
C.
To bring all features to a similar scale for better model performance
AnswerD.
To remove irrelevant features
Answer: Option C
Solution
Answer: Option C
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