Random Neighborhoods Regression Using C# (James McCaffrey) visualstudiomagazine.com

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as linear regression, k-nearest neighbors regression, random forest regression, Gaussian process regression, and neural network regression. Random neighborhoods regression is essentially a variation of k-nearest neighbors regression.