Beginner · Fundamentals
Binary classification
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A machine learning task that categorizes input into one of two mutually exclusive classes, like 'spam' or 'not spam'.
Technical Definition
A machine learning task that categorizes input into one of two mutually exclusive classes, like 'spam' or 'not spam'.
How it works
Binary classification is a common supervised learning task where the goal is to assign an input to one of two possible categories. Examples include classifying emails as spam or not spam, or diagnosing a disease as present or absent.
Related Concepts
- Classification — A supervised learning task where the model assigns inputs to discrete categories.
- Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
- Supervised Learning — Learning from input–output pairs where each training example carries a correct label.
- Evaluation Metrics — Quantitative measures used to assess the performance, accuracy, and quality of AI models for specific tasks.