Adaptive Bayes Network Model Viewer

For a brief description of the ABN algorithm, see Adaptive Bayes Network Algorithm.

ABN is used to create classification models. For a brief description of classification models, see Classification.

The model viewer has three tabs as follows:

Build Settings

This tab displays the Type of the model (Classification), the Algorithm used to build the model (Adaptive Bayes Network), the Target Attribute of the model, the Algorithm settings used to build the model, the Attributes, and the Cost matrix (if present).

The Model Build Type determines the settings that are available. For example, the following is displayed for Single Feature Build:

For detailed information about ABN settings, including settings for all model types, see Adaptive Bayes Network Settings.

The attributes are displayed in a grid; the following information is displayed for each attribute:

To save the attributes information as a text file, click the Save As icon (a yellow arrow above a graphic of a page) above the Attributes grid.

Results

To see results, click the Results tab.

The tab contains a tree view of results. To view specific results, select the result, and click View. To delete results, select one or more results and click Delete.

Rules

Not all ABN models generate rules. If you specified Single Feature Build for Model Build Type, rules are generated, and a Rules tab is displayed. To see the rules, click the Rules tab.

The rules are displayed in grid; the column headings in the grid are Rule Id, If (condition), Then (classification), Confidence,and Support.

The rules are displayed in the Rules area.

To view the detailed display of a rule, select the rule; details are displayed in the area below the rules display.

Save Rules

To save the rules to a file, click the Save As icon (a yellow arrow above a graphic of a page) above the Rules grid.

Task

This tab describes the task used to build the model. It shows when the task ran and what input data was used.