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Posted: September 26, 2018
Last activity: September 27, 2018
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Predictive Analytics Output Discussion
I need to understand the attached file for decision making and building predictive models for post estimation. Please give some reference or discussion regarding to my concern.
Thanks.
Hi HeroT143,
The screenshot is the output of running a predictive model.
Result: this is the label associated to the Class. The predictive model rule allows you to set your own label. In strategies this will be available as pxResult.
Score: this the output score of the predictive model
Class: this is the score interval number. For example, if your score distribution was divided into deciles, this would be the index of the decile
Percentage: this is the number of cases (expressed in a percentage) of the population that are assigned to this Class (score interval)
Behavior: this is the behavior related to this Class. The meaning depends on the outcome you are predicting. For example if the outcome is the defaulting on a loan then the behavior would be the probability to default
Lift: this the ratio of behavior in this Class to the overall behavior
These outputs are also available to use in a Strategy. When you use the predictive model in a strategy, check out the 'Output mapping' tab,
Regards,
Ivar
Let's add a picture from https://mesh.pega.com/docs/DOC-90494