The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, weight, current bank account ...
Support vector regression (SVR) predicts a single numeric value using a kernel function, usually RBF, that computes similarity between two data items. SVR makes predictions using support vectors, ...
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