Why is SVM considered a large-margin classifier in theory and practice?

SVM explicitly maximizes the margin, making it a canonical large-margin classifier.

Large-margin classifiers aim to maximize distance between decision boundary and closest points. SVM formalizes this via optimization, resulting in strong theoretical generalization guarantees and empirical robustness.