Regression Model
Regression Model in machine learning is a type of predictive modeling technique which investigates the relationship between a dependent (target) variable and one or more independent variables (predictors). The goal is to model this relationship for predictive analysis.
How Regression Models Work
Regression models predict continuous outcomes. Common types include linear regression, where the relationship is modeled as a straight line, and logistic regression, used for binary outcomes. These models are fundamental in statistics and machine learning for tasks like forecasting and determining the influence of variables.
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