Pearson correlation is a statistical measure that describes the strength and direction of a linear relationship between two continuous variables. It ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation. Understanding this correlation is crucial for feature selection and engineering, as it helps identify which variables may have meaningful relationships and thus should be included in predictive models.
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