Run
Select More Predictors to Plot
after either set of partial dependence plots to add more plots of that type.
. Click

This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

If the best model type is a TreeNet^{®} model, then the results
include partial dependence plots. If partial dependence plots are available
from the model that are not in the results, then you can click
Select More Predictors to Plot.
Available plots can be plots that were not in the original results or deleted
plots. The buttons are active only when the worksheet for the model is active.

You can add a plot for any single predictor in the model that is not already
on a plot.

- After the one predictor partial dependence plots in the results, click Select More Predictors to Plot.
- In Predictors, enter the predictors to plot.
- Click OK.

The new plots are at the end of the section for One Predictor Partial Dependence Plots.

You can add a plot for any pair of predictors in the model that is not already on a plot. Initially, the table of predictors includes the 5 strongest interactions in the model that do not have a plot in the results. Complete the following steps to add plots:

- After the two predictor partial dependence plots in the results, click Select More Predictors to Plot.
- In a row of the table, enter a predictor for the x-axis of the plot in X Predictor. Then, enter a predictor in the same row for the y-axis of the plot in Y Predictor.
- If any row in the table includes a pair of two continuous predictors, then the choices in Types activate. Select whether to create surface plots, contour plots, or both.
- Click OK.

The new plots are at the end of the section for Two Predictor Partial Dependence Plots.