Attribute Discrimination Tab (Mining Model Viewer View)
Use the Attribute Discrimination tab to compare the how states of the input attributes are related to the states of the predictable attribute. The attribute values that make the most difference between the two selected predictable attribute states are listed first.
For More Information:Microsoft Naive Bayes Algorithm, Viewing a Mining Model with the Microsoft Naive Bayes Viewer
Options
- Refresh viewer content
Reload the mining model in the viewer.
- Mining Model
Choose a mining model to view that is contained in the current mining structure. The mining model will open in its associated viewer.
- Viewer
Choose a viewer to use to explore the selected mining model. This list includes the viewers that Microsoft SQL Server 2005 Analysis Services (SSAS) provides for each mining model, the Microsoft Mining Content Viewer, and any plug-in viewers.
- Attribute
Choose a predictable attribute.
- Value 1
Choose a state of the predictable attribute to compare to the state that is contained in Value 2.
- Value 2
Select a state of the predictable attribute to compare to the state that is contained in Value 1.
Discrimination scores for <Value 1> and <Value 2>
Contains the following columns that describe the state of the predictable attribute that specific states of the input attribute favor.Value Description Attributes
An input attribute in the mining model.
Values
A state of the attribute that is listed in Attributes.
Favors <Value 1>
May contain a bar that signifies if the attribute and the state that are listed in Variables and Value favor the predictable state that is selected in Cluster 1.
Favors <Value 2>
May contain a bar that signifies if the attribute and the state that are listed in Variables and Value favor the predictable state that is selected in Value 2.
See Also
Reference
Mining Model Viewer View (Data Mining Model Designer)
Other Resources
Data Mining Algorithms
Viewing a Data Mining Model