Why is SVM considered a margin-based classifier?

SVM is margin-based because it explicitly optimizes the separation distance between classes.

Unlike probabilistic models, SVM does not model class distributions. Instead, it directly maximizes the geometric margin, ensuring that the decision boundary is as far as possible from the nearest training points, improving robustness.