Modeling and Multivariate Methods - SAS

Chapter 10 Creating Neural Networks 289
Example of a Neural Network
Table 10.8 Model Report Options (Continued)
Save Validation
Save Transformed
Covariates
Remove Fit
Creates a new column in the data table that identifies which rows were used
in the training and validation sets. This option is not available when a
Validation column is specified on the Neural launch window. See “The
Neural Launch Window” on page 280.
Creates new columns in the data table showing the transformed covariates.
The columns contain formulas that show the transformations. This option is
available only when the Transform Covariates option is checked on the
Model Launch. See “Fitting Options” on page 285.
Removes the entire model report.
Example of a Neural Network
This example uses the Boston Housing.jmp data table. Suppose you want to create a model to predict the
median home value as a function of several demographic characteristics. Follow the steps below to build the
neural network model:
1. Launch the Neural platform by selecting Analyze > Modeling > Neural.
2. Assign mvalue to the Y, Response role.
3. Assign the other columns (crim through lstat) to the X, Factor role.
4. Click OK.
5. Enter 0.2 for the Holdback Proportion.
6. Enter 3 for the number of TanH nodes in the first layer.
7. Check the Transform Covariates option.
8. Click Go.
The report is shown in Figure 10.6.
Note: Results will vary due to the random nature of choosing a validation set.
Figure 10.6 Neural Report