Topics / graph

Model structure

Once you become familiar with the basics of the Berkeley Studio, it is important to get a grip of the structure of decision trees. If you are not familiar with graphs, nodes and variables we advise you to take a look at the first steps in the Studio and the introduction to graphs and subgraphs.

Graphs and subgraphs

All Berkeley Studio models are structured in graphs. A graph is a group of nodes that are connected to each other. Every graph has exactly one start node where it starts, but can have multiple end nodes. The nodes in their turn have the actions that make up the functionality of your model.

Berkeley Studio: first steps

The Berkeley Studio is the modeling environment where you will develop your own decision tree model. In these tutorials we will refer to the Berkeley Studio as Studio. You can always press [F1] to open the help files. The Studio will guide you to the right web page depending on which window you have opened.