Make Validation Column¶
The Make Validation Column utility enables JMP standard users to easily construct a validation column that defines a test set. JMP Pro users have a way to construct validation columns (Analyze > Predictive Modeling > Make Validation Column), but previously JMP standard users did not. This utility enables JMP standard users to construct a validation column that selects a specified proportion of test rows randomly.
To construct a validation column in your data table using this utility:
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Open the Predictum menu > Self-Validating Ensemble Modeling > Utilities > Make Validation Column option.
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In the Test Proportion text box, specify the value of your desired proportion of test set rows.
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In the Random Seed field, enter a random seed value, if you want to be able to repeat this construction in the future.

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Click OK.
A new Validation column is added as the last column in the data table. This column has a nominal modeling type and the value in each row is indicated as either “Training” or “Test”.

If you specified a random seed value, it is saved as a Notes property for the Validation column.