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Modeling and Multivariate Methods - SAS

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290 Creating Neural Networks Chapter 10<br />

Example of a Neural Network<br />

Results are provided for both the training <strong>and</strong> validation sets. Use the results of the validation set as a<br />

representation of the model’s predictive power on future observations.<br />

The R-Square statistic for the Validation set is 0.838, signifying that the model is predicting well on data<br />

not used to train the model. As an additional assessment of model fit, select Plot Actual by Predicted from<br />

the Model red-triangle menu. The plot is shown in Figure 10.7.<br />

Figure 10.7 Actual by Predicted Plot<br />

The points fall along the line, signifying that the predicted values are similar to the actual values.<br />

To get a general underst<strong>and</strong>ing of how the X variables are impacting the predicted values, select Profiler<br />

from the Model red-triangle menu. The profiler is shown in Figure 10.8.<br />

Figure 10.8 Profiler

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