juniorSVM
What is linear SVM?
Updated May 17, 2026
Short answer
Linear SVM uses a straight hyperplane to separate classes.
Deep explanation
It works when data is linearly separable and aims to maximize margin using linear decision boundaries.
Real-world example
Text classification with TF-IDF features.
Common mistakes
- Using linear SVM for highly nonlinear data without checking separability.
Follow-up questions
- When to use linear SVM?
- Is it faster than nonlinear SVM?