Concept
A linear predictor is a mathematical model that makes predictions based on a linear combination of input features, often used in statistical and machine learning contexts for regression and classification tasks. It assumes a direct proportionality between the input variables and the predicted output, making it simple yet powerful for problems with linear relationships.
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