Which of the following necessitates feature reduction in machine learning?
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The necessitates feature reduction in machine learning are Irrelevant and redundant features, Limited training data, Limited computational resources. In machine learning, feature selection is also referred as variable selection else it is variable selection.
This selection is completely automatic and it selects the attributes from the data that are related to the predictive modeling. This feature selection differs from the dimensionality reduction.
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