juniorSVM
What is a hyperplane in SVM?
Updated May 17, 2026
Short answer
A hyperplane is the decision boundary that separates different classes in SVM.
Deep explanation
In 2D it's a line, in 3D it's a plane, and in higher dimensions it's called a hyperplane. SVM selects the hyperplane that maximizes the margin between classes.
Real-world example
Used in face detection systems to separate face vs non-face images.
Common mistakes
- Assuming hyperplane is always linear in original feature space.
Follow-up questions
- Can hyperplanes be nonlinear?
- What determines the hyperplane in SVM?