Shows the split statistics. For more information about the categorical split statistic G2, see Statistical Details for the Partition Platform.
JMP automatically shows the Rate and Prob statistics when you select Show Split Count. For more information about Rate and Prob, see Statistical Details for the Partition Platform.
(Categorical responses only) Shows frequency counts in the node reports. When you select this option, JMP automatically selects Show Split Prob. And when you deselect Show Split Prob, the counts do not appear.
Removes the terminal split that has the least discrimination ability. This is equivalent to clicking the Prune button.
(Continuous responses only) Shows a plot of actual values by predicted values. See Actual by Predicted Plot.
Shows a report indicating each input column’s contribution to the fit. The report also shows how many times it defined a split and the total G2 or Sum of Squares attributed to that column.
Shows a Crossvalidation report that gives fit statistics for both the training and folded sets. For more information about validation, see K-Fold Crossvalidation.
(Categorical responses only) Receiver Operating Characteristic (ROC) curves display the efficiency of a model’s fitted probabilities to sort the response levels. See ROC Curve.
(Categorical responses only) Lift curves display the predictive ability of a partition model. See Lift Curve.
(Appears only for categorical responses.) The Fit Details report shows several measures of fit and provides a Confusion Matrix report. See Show Fit Details.
Saves prediction formulas to a column or multiple columns in the data table. The formulas consist of nested conditional clauses that describe the tree structure. If the response is continuous, one column that contains a Predicting property is added. If the response is categorical, columns that contain a Response Probability property are added for each level of the response. In addition, a Most Likely column that contains the response level with the highest probability of occurrence for each observation is added.
Publish Prediction FormulaCreates a prediction formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See the Formula Depot topic.
Publish Tolerant Prediction FormulaCreates a tolerant prediction formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See the Formula Depot topic. If you have checked Informative Missing, you can use this option by holding the Shift key as you click on the report’s red triangle.
(Available only for categorical responses.) Enables you to specify profits or costs associated with correct or incorrect classification decisions. For a nominal response, you can specify the profit matrix entries using a probability threshold. See Show Fit Details.
Shows an interactive profiler report. Changes in the factor values are reflected in the estimated classification probabilities. See Profiler in the Profilers book.
(Categorical responses only) Colors points based on their response level. This is equivalent to clicking the Color Points button. See Report for Categorical Responses.
See Redo Menus and Save Script Menus in the Using JMP book for more information about the following options: