Combine values or ranges based on the similarity of symbolic predictor
behavior.
-
In the
Data analysis
step, click a symbolic predictor.
-
In the predictor workspace, click the
Grouping
tab.
-
In the
Granularity
field, enter the maximum probability of
spurious difference in behavior.
Reducing this probability reduces interval or category numbers.
-
In the
Minimum size (% of samples)
field, enter the minimum
number of cases in each interval or category. Click
Apply.
Use it to ensure that the behavior evidence is sufficient to be used in grouping.
Intervals with few cases are combined with their nearest neighbor. Categories with few
cases are combined into a residual bin.
- Optional:
To read the data in a graph or a table, click the
Graphical view
tab or the
Tabular view
tab
- Optional:
Disable the
Ignore ordering
option.
When this option is enabled, categories are combined with any other category most
similar in behavior. After you disable it, the order of the symbolic categories is assumed
to have some meaning and only the neighboring categories are grouped.
- Optional:
Disable the
Merge bins below minimum size
option.
When this option is enabled, the categories below the minimum size are grouped in a
residual bin on the assumption of insufficient cases for the behavior to be the basis for
grouping.
-
Confirm your updates by clicking
Submit.