Decision Tree: Overview

The Decision Tree module complements the Profiler module functionality within FastStats, providing a very visual and interactive way of modelling a selection of customers.

A Decision Tree enables you to define a selection of customers that you are interested in, and then to identify characteristics that are typical of these people. 

The Decision Tree will create rules in terms of these characteristics that can easily be understood.  An example of a rule could be that people who go to Sweden are likely to be “male, aged 30-50, and with an income of £20-£30k”. 

These rules can be turned in to FastStats Selections to predict and select prospects for a marketing campaign.  Alternatively, the rules can provide useful insight to describe current customers.

For a worked example see  Who goes on Holiday to Sweden?

For details on the following sections see the topics in the main contents under Decision Tree:

• Setting up a Decision Tree

• Using the Output

• Common Questions