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