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Grouping predictors

Updated on May 17, 2024

Group predictors in the Model development step to prepare reliable models. The process of model development has three default models: regression, decision tree, and bivariate. A common setting that applies to all types of models is the selection of the predictors.

If the behavior of two predictors is similar, these predictors might offer essentially the same information. This measure of similarity or correlation is used to group predictors, allowing you to clear the weak predictors and duplicate predictors to control the overall size of the model.
Note: Predictors with an Area Under the Curve (AUC) of less than 51.00 are weak and not reliable.
  • Group predictors in any of the following ways:
    • To select the best predictors in each group, click Use best of each group.
    • To select all predictors, click Use all predictors.
    • To override the use of predictors, in the Use predictor column, select or clear the check boxes for the predictors you want to disable.

      The Predictors column displays the name of the predictor.

    • To change the sequencing between performance-oriented and aspect-oriented, from the Sequencing drop-down list, select the appropriate value.

      For more information, see Predictor grouping settings.

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