This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.
Odds = event prob / (1-event prob)
The one predictor partial dependence plot displays how the average fit which represents the event probability changes with changes in the predictor levels.
The two predictor partial dependence plot shows the interaction effects of the plotted predictors on the fits. Because of the relationship between the fits and the event probability, you can use this plot to help identify optimal predictor values. Event probability monotonically increases as fits increases.
The two predictor partial dependence plot indicates how the response will change with changes in the predictor levels of two important variables. For categorical predictors, Minitab displays a matrix plot of the various relationships at the various levels of the predictors. For continuous predictors, Minitab displays a surface plot or a contour plot of this relationship.