support-vector-regression

An extension of support vector machines that predicts continuous values instead of categories.

Support vector regression (SVR) applies the same principles as support vector machines but is designed for regression tasks. It aims to find a function that approximates the target data within a specified margin of tolerance. A misconception is that SVR is less powerful than other regression methods; in fact, it performs well in high-dimensional spaces and can model non-linear relationships throu...