Regression in statistical or machine learning models refers to description of the relationship between a dependent variable (outcome variable) and independent variables (features) in data sets when the values are scalar (continuously variable) real numbers, as opposed to discrete values (integers, enumerations, strings, text vectors, etc.).
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