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?
Check your understanding
1/4 · 40 XPWhat kind of output does regression produce?