8.5 Classification and Regression

Classification predicts a category (spam or not). Regression predicts a number (house price).

Chapter 8: Data and AI Algorithms

Supervised learning problems usually fall into two types. Classification answers "which group?" - spam vs. not spam, cat vs. dog, pass vs. fail. The model learns a boundary that separates the classes.

Regression answers "how much?" - house prices, temperature tomorrow, how many likes a post will get. The model learns a line or curve that fits the trend.

Quick test: if the answer is a label, it's classification. If it's a number on a scale, it's regression.

Quick check

Predicting tomorrow's temperature → regression. Predicting if it will rain → classification.

Key takeaways

Classification = predict a category

Regression = predict a number

Boundary vs. trend line

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