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What do you mean by feature selection? |
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Answer» Feature selection is the process of identifying and selecting the most relevant FEATURES that can be input to the machine learning algorithms for the purpose of MODEL creation. Feature selection techniques are used for the purpose of neglecting all the redundant or unrelated features as an input to the machine learning models by decreasing the number of input VARIABLES and narrowing down the features to only the desired relevant features. There are few advantages of using these feature selection techniques which are mentioned below.
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