1.
|
Create a column called validation.
|
2.
|
On the Column Info window, select Random from the Initialize Data list.
|
3.
|
Select the Random Indicator radio button.
|
4.
|
Click OK.
|
1.
|
Select Analyze > Fit Model.
|
2.
|
3.
|
4.
|
Select Stepwise in the Personality list.
|
5.
|
6.
|
Click the Run button.
|
7.
|
Select P-value Threshold from the Stopping Rule list.
|
8.
|
Click the Go button.
|
9.
|
Click the Run Model button.
|
10.
|
Save the prediction formula to a column by selecting Save Columns > Prediction Formula on the Response red triangle menu.
|
Figure 9.2 Fit Model Report
1.
|
Select Analyze > Predictive Modeling > Partition.
|
2.
|
3.
|
4.
|
5.
|
Select Bootstrap Forest in the Method list.
|
6.
|
Click OK.
|
7.
|
Select the Early Stopping check box.
|
8.
|
Select the Multiple Fits over number of terms check box.
|
9.
|
Click OK.
|
10.
|
Save the prediction formula to a column by selecting Save Columns > Save Prediction Formula on the Bootstrap Forest red triangle menu.
|
Figure 9.3 Bootstrap Forest Model
1.
|
Select Analyze > Predictive Modeling > Model Comparison.
|
2.
|
Select the two prediction formula columns and click Y, Predictors.
|
3.
|
4.
|
Click OK.
|
Figure 9.4 Model Comparison Report
•
|
Model Specification in the Fitting Linear Models book
|