Figure 1: A hypothetical example of how a decision tree might predict protein-protein interactions. (a) Each data item is a gene pair associated with a variety of features.

Interpreting the decision tree in the context of our biological example, we would associate observations at expression level X < 20 with the green color category.

This example illustrates the use of the SYMBOL and GOPTIONS statements for controlling the appearance of the decision tree diagram. It also uses the ANNOTATE= option to add a customized legend to the ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Each technique has pros and cons. This article explains how to implement decision tree regression from scratch, using the C# language. Compared to other regression techniques, decision tree regression ...

How to Evaluate a Decision Tree Model. A decision tree can help you make tough choices between different paths and outcomes, but only if you evaluate the model correctly. Decision trees are ...