juniorSVM
What is hard margin SVM?
Updated May 17, 2026
Short answer
Hard margin SVM strictly separates classes without errors.
Deep explanation
It assumes data is perfectly linearly separable and does not allow misclassification.
Real-world example
Rare in real-world due to noisy data.
Common mistakes
- Applying it to noisy datasets.
Follow-up questions
- Why is it rarely used?
- What replaces it in practice?