Score distribution settings
You change these settings to affect the Score distribution step of the predictive model configuration process that is described in Checking score distribution. The settings include the names of the sections that are displayed for the step and the default values for particular options.
|Score band type||
Select the type of bands to create:
|Number of bands||Set the number of bands.|
|Maximum distinct symbolic intervals||Set the maximum number of intervals (bands) to create for symbolic inputs.|
|Max probability of spurious differences||Set the maximum difference between bands, expressed in likelihood. This value must be between 0 and 1.|
|Maximum displayed points||Set the maximum number of points for the display of the model comparison graphs.|
|Minimum size (% of the sample)||Set the minimum number of sample cases in each interval. This setting ensures that there is sufficient evidence of the behavior of cases in the interval for its behavior to be used in grouping. Intervals with few cases are combined with their nearest neighbor.|
|Invert probabilities||Select this option to have the probabilities of alternative behavior calculated.|
- Reclassifying score distribution
The Score distribution chart on the Predictive model tab displays a nonaggregated classification of a predictive model's results. The chart is available for predictive models that you build in Pega Platform.
Previous topic Genetic algorithm settings Next topic Reclassifying score distribution