Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: Regression trees predict a continuous variable using steps ...

Decision trees, regression, and neural networks all are types of predictive models. People often confuse predictive analytics with machine learning even though the two are different disciplines.

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.

Additionally, we aim to investigate risk factors associated with the incidence of CIPN within the local context using the classification and regression tree (CART) algorithm, which yields an easily ...

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 ...