Decision trees are at their heart a fairly simple type of classifier, and this is one of their advantages. Decision trees are constructed by analyzing a set of training examples for which the ...

Decision trees don't have to be representations of decision making processes ... If all the balls were in a single box, then this would be nicely ordered, and it would be extremely easy to find a ...

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 ...