In statistical modeling, regression analysis is a set of statistical processes used to estimate the relationships between a dependent variable and one or more independent variables.
In machine learning, regression algorithms are used for prediction and forecasting.
A regression model predicts a value of the Y variable given known values of the X variables. In other words, a regression model is a model that generates a numerical prediction, while a classification model generates a class prediction.
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