Attribute Profiles Tab (Mining Model Viewer)

Use the Attribute Profiles tab to see how the distribution of input values in a Naive Bayes model state contribute to each state of the outcome attribute. The distribution of values is shown as a colored histogram, all distributions presented in a tabular format, to make it easier to compare values.

For More Information: Microsoft Naive Bayes Algorithm, Browse a Model Using the Microsoft Naive Bayes Viewer

Options

  • Refresh viewer content
    Reload the mining model in the viewer.

  • Mining Model
    Choose a mining model to view, from those 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. You can choose the custom viewer provided for each mining model, or the Microsoft Mining Content Viewer. You can also use plug-in viewers if they are available.

  • Show Legend
    Select this option to display a key that matches each value in States to one of the colors used in the distribution chart.

  • Histogram bars
    Select how many bars to include in the histogram. If more bars exist than you choose to display, the bars of highest importance are retained, and the remaining bars are grouped together into Other.

  • Predictable
    Select a predictable column from the mining model.

  • Attribute Profiles
    The table contains the following columns:

    Value

    Description

    Attributes

    Lists the mining model columns contained within the mining model.

    States

    An optional column that describes what state the color in the corresponding row of attributes represents. Add or remove by using the Show Legend check box.

    Population

    Displays the distribution of the attribute across the whole dataset.

    Column for states of predictable attribute

    Displays a column for each state of the predictable column, with each row corresponding to an input attribute in the model.

See Also

Reference

Mining Model Viewers (Data Mining Model Designer)

Concepts

Data Mining Algorithms (Analysis Services - Data Mining)

Data Mining Model Viewers