Feature selection is a preprocessing technique frequently used in data mining and machine learnINg tasks. It can reduce dimensionality, remove irrelevant data, increase learnINg accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
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