Regression

Level 2

Short Description

A machine learning task that predicts a continuous numerical value (e.g., a price) rather than a category.

Friendly Description: Regression is when an AI predicts a number on a sliding scale, instead of choosing between categories. It's the difference between "how much will this house sell for?" (a number) and "is this email spam or not?" (a category). Regression models look at past examples to learn the relationship between inputs and the number they're trying to predict.

Example: A real estate site uses regression to estimate home values. It learned from millions of past sales how square footage, location, number of bedrooms, school ratings, and other factors combine into a price, and it uses that knowledge to give you an instant estimate when you look up a property.