Operational AI WIKI

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Feature Selection

Feature selection is the process of selecting a subset of input variables for a specific machine learning problem. Irrelevant and redundant features can confuse models, so feature selection has the ability to improve a learning algorithm’s performance. The process of feature selection results in a feature set.

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