Decision Prediction Tree

A decision tree represents the potential consequences of a number of connected decisions. It enables a person or group to compare potential courses of action based on their costs, probabilities, and rewards. They can be used to spark casual conversation or to design an algorithm that determines the best option mathematically.

Create a decision node as the root node for the flow, then create branches that connect to it (for instance: if YES, continue with this approach; if NO, continue with a different set of approaches). Include one or more leaf/final nodes with the decision note.

A Decision Prediction Tree (DPT) is a statistical model that helps us predict the outcomes of decisions. DPTs are used in fields such as medicine, finance, marketing, and politics. The goal of a DPT is to provide insight into the relationship between variables and their impact on the outcome of a decision.