Decision trees are simple predictive models which map input attributes to a target value using simple conditional rules. Trees are commonly used in problems whose solutions must be readily understandable or explainable by humans, such as in computer-aided diagnostics and credit analysis. Download source code Download sample applications Download the full Accord.NET Framework Introduction Decision Trees give a direct and intuitive way for obtaining the classification of a new instance from a set of simple rules. Because of this characteristic, decision trees find wide use in situations in w...