Model Browser User's Guide

Model Evaluation Window

You can access the Model Evaluation window via the menu item Model -> Evaluate... (or the hot key Ctrl+E) from any of the modeling nodes: the one-stage or two-stage model node, local model node, response feature nodes, or any child model nodes.

Recall that the Model Selection window allows you to compare different models with each other and with the data used to create these models. The Model Evaluation window also allows you either to examine a model without data or to validate it against data other than that used in creating the model. For any model node, model evaluation is a quick way to examine the model in more ways than those available in the main Browser views. For example, local models with more than one input factor can only be viewed in the Predicted/Observed view in the main Browser, and the Model Selection window only shows you the two-stage model, so you go to Model Evaluation to view the local model itself in more detail. For other models such as childless response feature nodes, or their child nodes, Select is not available, so Model Evaluation is the only way to view these models in detail.

The Model Evaluation window comprises some of the same views you see in the Model Selection window. The views available depend on what kind of model you are evaluating (two-stage, local, global, or one-stage) and the evaluation mode you choose.

The following example illustrates the evaluation process using other data to validate a model. From a model node, you reach the Model Evaluation window via the Model -> Evaluate... menu item. The Data Selection dialog appears.

There are three modes for evaluation, each represented by a radio button choice:

• View model without data -- The evaluation window appears with only the model surface view and the cross-section view. These do not show the model fit against data. Here you can investigate the shape of the model surface.
• Evaluate using fit data -- The evaluation window appears, and the data shown along with the model surface is the data that was used to create this model. The views available are residuals, response surface, and cross section. If you are evaluating a two-stage model, you can also have the tests view, where the local model fit is shown for each test. If you are evaluating a one-stage model or a two-stage response feature model, the predicted/observed view is also available.
• Evaluate using other data -- The data that is shown along with the model surface is chosen in this dialog. The evaluation window then appears with the residuals, response surface, and cross-section view. If you are evaluating a two-stage model, the tests view is also available, although the local fit is not shown, as the local model was fitted to different data.

In the tests view (two-stage models only) you can click and hold on a plot to see the values of the global variables for that test.

Response Level: Toolbar and Menus

Model Evaluation Using Other Data