Feature interactions occur when two or more variables combined produce an effect greater than their individual impacts. Used in machine learning and statistics, this technique uncovers hidden patterns, improving model accuracy and interpretability. Data scientists, analysts, and product teams benefit by refining predictions, optimizing campaigns, and personalizing user experiences. Understanding these dynamics drives smarter decision-making and competitive advantage.
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