Reference · Glossary
Classification
Predicting a **discrete label** — spam/not, yes/no, cat/dog — from inputs or scores.
When to use
Routing tickets, filtering content, or any “pick a bucket” decision in ML intro labs.
When not to
When the target is a continuous number — that’s regression (price, temperature).
Example
Scores ≥ 0.5 → label 1 (approve), else 0 — a binary classifier with one threshold.