svr-epsilon-insensitive-loss

OUT premise — entries/2026/06/21/wiki-Support_vector_machine-chunk-5.md

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

Support Vector Regression (SVR) uses epsilon-insensitive loss: predictions within epsilon of the true value incur zero cost; only points outside the epsilon-tube are support vectors.