If the response has two levels, the Lift curve plot displays a lift curve for the first level of the response only. If the response has more than two levels, the Lift curve plot displays a sub-outline of the curves for each response level. See Lift Curve in Partition Models for more information about lift curves.
Saves the predicted classifications to the data table in a column called Naive Predicted <Y, Response>.
Saves a column called Naive Predicted Formula <Y, Response> to the data table. This column contains the prediction formula for the classifications.
For each column that represents a class, this column gives a score formula that measures strength of membership in the given class. In the Naive Score Sum column., these scores are summed across classes. See Saved Probability Formulas.
For each class, this column gives a formula for the conditional probability that an observation is in that class. See Saved Probability Formulas.
Creates probability formulas and saves them as formula column scripts in the Formula Depot platform. If a Formula Depot report is not open, this option opens the Formula Depot window. See Formula Depot in the Predictive and Specialized Modeling book.
Shows or hides an interactive profiler report. Changes in the factor values are reflected in the estimated classification probabilities. See Profiler in the Profilers book for more information.
See Local Data Filter, Redo Menus, and Save Script Menus in the Using JMP book for more information about the following options: