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8.2 Regression

Regression is a supervised learning task where the model predicts a continuous number rather than a category. Instead of asking 'which class?', it asks 'how much?' or 'what value?'. The model learns the relationship between input features and a numeric target.

A practical example: predicting the rent price of a house in Addis Ababa from its size, number of rooms, and location. The answer is a birr amount, a continuous value, not a fixed category.

Scenario

A coffee exporter wants to estimate next season's yield in kilograms from rainfall and temperature data. Which approach fits?

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What kind of output does regression produce?