Binning predictors
A predictor is a field that has a predictive relationship with the outcome (the field whose behavior you want to predict). Predictors contain information about the cases whose values might show an association with the behavior you are trying to predict.
There are two types of predictors: numeric and symbolic. Numeric predictors are, for example, customer's age, income, expenditures. Symbolic predictors are, for example, customer's gender, martial status, home address.
You can tweak the treatment of predictors or allow Prediction Studio to generate a default treatment.
Binning options for numeric predictors
Binning of numeric predictors allows you to group cases into bins of equal volume or width.
- Binning numeric predictors
Generate bins over which you want to distribute numeric predictors. Binning allows you to group cases into bins of equal volume or width.
- Binning symbolic predictors
Generate bins over which you want to distribute the symbols that are not assigned to a category.
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