Intermediate · Data
Hyperplane
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A decision boundary used in classification algorithms to separate data points into different classes in a high-dimensional space.
Technical Definition
A decision boundary used in classification algorithms to separate data points into different classes in a high-dimensional space.
How it works
In machine learning, a hyperplane is a flat subspace within a higher-dimensional space. It acts as a decision boundary, for example, in linear classifiers, to distinguish between different categories of data points.
Related Concepts
- Classification — A supervised learning task where the model assigns inputs to discrete categories.
- Decision boundary — The line or surface that separates different classes in a classification problem, defining where a model makes its predictions.