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Linear Regression

The simplest regression method, fitting a straight-line relationship between inputs and a number.

Definition

Linear regression is the simplest and oldest regression method. It fits a straight-line relationship between input features and a numeric target, choosing the line that best matches the training data. Despite its simplicity, it is widely used, easy to interpret, and a building block for more complex models.