Anomaly Detection Model Viewer

This selection displays the results of a successfully built Anomaly Detection model. For a brief description of anomaly detection, see Anomaly Detection.

Menus

The following menus appear when the model is displayed in a new window:

Tabs

The viewer has the following tabs:

Coefficients (Linear Kernel Only)

This tab lists the coefficient value for specific target value and attribute value pairs. Coefficients represent SVM model details; they are displayed for SVM models with the linear kernel. Anomaly detection models are built using the one-class SVM algorithm.

The Target Attribute for the model is displayed; this is the target selected when defining the Build Activity.

Select a Target Class value for which to display coefficients using the pulldown list. For a binary classification problem, coefficients are displayed for only one value of the target. For a multi-class classification problem, coefficients are displayed for all values of the target.

The Bias is displayed in a read-only field. Bias is a constant that is added to the model predictions to reflect the scale in its original input data. Bias is used in all SVM models (both regression and classification).

The coefficients are displayed in the Coefficients grid. If you want coefficients sorted by absolute value so that, for example, -0.5 is listed just before +0.5, click the Sort coefficients based on absolute values checkbox at the bottom of the window.

The following information is displayed:

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

Click Filter to filter the information displayed by including attributes, specifying maximum and/or minimum coefficient values, filtering by absolute value, and sorting in various ways. The default is to include all attributes, to not specify minimum and maximum values for coefficients, to not filter by absolute value and to sort by attribute name in descending order.

Build Settings

This tab displays the Type of the model (Anomaly Detection), the Algorithm (Support Vector Machine) used to build the model, and the Algorithm Settings.

The following algorithm settings are displayed:

For more information about SVM settings, see Support Vector Machine Settings for Classification.

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

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 a result, select one or more results and click Delete.

Task

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