svm-max-margin-hyperplane-minimizes-generalization-error

IN premise — entries/2026/06/21/wiki-Support_vector_machine-chunk-1.md

Created 2026-06-21T09:55:54+00:00

SVMs find the hyperplane that maximizes the margin between classes; larger margins correlate with lower generalization error and reduced overfitting.

Dependents

These beliefs depend on this one:

• OUT svm-general-purpose-classifier — SVMs serve as a general-purpose classifier with kernel nonlinearity, maximum-margin guarantees, and calibrated probability outputs via Platt scaling.