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What is the main purpose of feature selection?

Answer and explanation

Correct answer: To select relevant features and reduce unnecessary dimensions

Feature selection chooses the most relevant and useful features for a model from the available features. It can remove irrelevant or redundant features, reduce dimensionality, and make the model simpler and more effective. Option B is incorrect because including all features without evaluation is not feature selection.

Related tags

Feature SelectionData PreprocessingDimensionality ReductionMachine LearningModel Performance

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