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Predictive and Specialized Modeling > Make Validation Column > Overview of the Make Validation Column Platform
Publication date: 11/29/2021

Image shown hereOverview of the Make Validation Column Platform

Validation is the process of using part of a data set to estimate model parameters and using another part to assess the predictive ability of a model. With complex data, this can reduce the risk of model overfitting.

A validation column partitions the data into two or three parts.

The training set is used to estimate the model parameters.

The validation set is used to help choose a model with good predictive ability.

The testing set checks the model’s predictive ability after a model has been chosen.

A validation column can be used as a validation method in many JMP platforms. See Validation in JMP Modeling.

The Make Validation Column platform enables you to create training, validation, and test sets using a variety of methods. You can specify stratification, grouping, or cutpoint columns to determine the method used to create the validation column.

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