Defining the predictor role
Select the appropriate role for each predictor. 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. For example, demographics (age, gender, marital status), geo-demographics (home address, employment address), financial (income, expenditure), activity or transaction information (amount of loan taken).- In the Data analysis step, select a check box for a predictor for which you want to define the role.
- From the Change role drop-down list, select the role you want to
assign:
- To define a field that was known at the time of decision that might be predictive of subsequent behavior, click to PREDICTOR.
- To define a field that you want to exclude from analysis and modeling, click to IGNORED.
- To define a field that was not known at the time of decision that might be associated with subsequent behavior, click to VALUE.
- To define a field that contains predictions generated by another predictive model
or process, click to BENCHMARK.
Use this field as a single-predictor model to compare behavior with the generated models.
- To define a field that contains the scores used to make a previous decision, click
to PREVIOUS SCORE.
For example, the number of accepted or rejected cases. For more information, see Defining a previous decision.
This role is available only for the extended binary models.
- To define a field that contains the probabilities inferred by a benchmark
inference system, click to BENCHMARK INFERENCE.
This role is available only for the extended binary models.
- Repeat 2 for all predictors you want to update.
- Confirm the role definitions by clicking Next.
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