Decision tree regression is a machine learning technique . To predict the output y for an input vector X, the tree structure encodes a set of if-then rules such as, "If the value of X at index [2] is ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: ...

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs involved in complex management decisions, like plant investment. by John F.

A nonparametric regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning of the covariate space is ...

Dr. James McCaffrey of Microsoft Research says the technique is easy to tune, works well with small datasets and produces highly interpretable predictions, but there are also trade-off cons. The goal ...