GeNIe Tutorials: Tutorial 9 - Viewing results
From DSL
Objective of the tutorial: To learn how to view a result.
Estimated Time: 10 Minutes
At the end of the tutorial you will be able to:
- Update a model with the selected inference algorithm.
- Specify target nodes in the model.
- Select from various inference algorithms available in GeNIe.
Once a model is updated you are ready to view the results computed by GeNIe. This can be done in several ways. Posterior probability distribution of any node in a Bayesian network can be viewed by bringing the cursor over the Updated [ 
] status icon. The probabilities of the various states of the node will be displayed as follows:
You can also right-click on the node and choosing Set Evidence. GeNIe shows a list of states of the node along with their probabilities.
An alternative way of viewing the posterior probability distribution is to choose the Value tab from the Node Property sheet. Shown below is the Value tab when the Expert's prediction is "Poor."
Posterior probability distribution in Influence diagrams are more detailed. In cases when a node's probability distribution is affected by a decision or by a node that precedes a decision node, the posterior probability distribution is indexed by the outcomes of these nodes. In such cases, right clicking on a node icon will display a message "The result is a multidimensional table, double click on the icon to examine it."
The only way to see the entire distribution, is by using the Value tab of the decision node or the value node in question. Shown below is the value node:
There is a difference in what you will see in terms of the result in each of these, although this difference materializes only in those influence diagrams that contain multiple decision nodes. The value node will show the expected utilities of all combinations of decision alternatives. The decision node will show the expected utilities of its alternatives, possibly indexed by those decision nodes that precede it. In case decision nodes have predecessors, these predecessors will index the result if they have not been observed before making the decision.
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