Example of the Make Validation Column Utility

The Lipid Data.jmp data table contains blood measurements, physical measurements, and questionnaire data from 95 subjects at a California hospital. You are interested in using a validation column as a way of validation during future analyses.

Select Help > Sample Data Library and open Lipid Data.jmp.

Select Analyze > Distribution.

Assign Gender to the Y, Columns role. Click OK.

Figure 2.15 Distribution of Gender in Lipid Data.jmp

Figure 2.15 illustrates the distribution of Gender in the data set. Notice that there is not an equal proportion of males and females represented. Because there is a scarcity of females within the data, you want to be sure to balance the genders across the validation and training sets.

Select Analyze > Predictive Modeling > Make Validation Column.

Click Stratified Random.

Select Gender as the column used for validation holdback.

Click OK.

A Validation column is added to the data table. You can explore the distribution of the validation and training sets by creating a Mosaic Plot.

Select Analyze > Fit Y by X.

Assign Validation to Y, Response, and Gender to the X, Factor.

10.

Click OK.

Figure 2.16 Distribution of Gender across Validation and Training Sets

Figure 2.16 illustrates the distribution of Gender across each of the validation and training sets. Note that about 75% of both females and males are in the training set and about 25% of both females and males are in the validation set.