Predictive and Specialized Modeling • Modeling Utilities • Make Validation Column Utility
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Image shown hereMake Validation Column Utility
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.
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The training set is used to estimate the model parameters.
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The validation set is used to help choose a model with good predictive ability.
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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 the Fit Model platform.

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Help created on 9/19/2017