Kernel and neighborhood methods · MLD-1135
Soft-margin SVM
An SVM allowing margin violations with a penalty.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Fit noisy data that is not perfectly separable.
Original caveat
The penalty controls a tradeoff, not absolute error prevention.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Inference.
Tags: ML.
Aliases: None recorded.
Related concepts
Original references
- scikit-learn: nearest neighbors ↗ · Reference link
- scikit-learn: support vector machines ↗ · Reference link
- Original reference URL ↗