What is the purpose of feature selection in machine learning?
- All of the above
- To identify and remove unimportant features
- To improve accuracy and speed of a machine learning model
- To reduce overfitting
The purpose of feature selection is to improve accuracy and speed of a machine learning model, reduce overfitting, and identify and remove unimportant features.
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