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 ...

A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...