This selection displays a successfully built Support Vector Machine (SVM) classification model and its characteristics.
The following menus appear when the model is displayed in a new window:
The model viewer has the following tabs:
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.
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.
The following buttons are displayed:
Scaled Attr1 Coefficient = Attr1 Coefficient / Attr1 Scale Scaled Bias = Bias - { Attr1_unscaled_coeff*Att1 Shift / Att1 Scale + .... + AttrN_unscaled_coeff *AttN Shift / AttN Scale }To undo the calculations, click Unscale.
This tab displays the Type of the model (Classification or Regression), the Algorithm (Support Vector Machine) used to build the model, the Target Attribute, and the Algorithm Settings.
The following algorithm settings are displayed:
yes
, that is, active learning is enabledFor more information about SVM settings, see Support Vector Machine Settings for Classification or Support Vector Machine Settings for Regression.
The attributes are displayed in a grid; the following information is displayed for each attribute:
NUMBER
, FLOAT
, CHAR
, VARCHAR2
, etc.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.
This tab describes the task used to build the model. It shows when the task ran, what input was used, and what output was created.
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