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Last updated: Feb 11, 2025
You can use GLMM modeling nodes to generate a GLMM model nugget. The scripting name of this model nugget is applyglmmnode. For more information on scripting the modeling node itself, see glmmnode properties.
Properties |
Values | Property description |
---|---|---|
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Basis for computing scoring confidence value: highest predicted probability, or difference between highest and second highest predicted probabilities. |
|
flag | If set to , produces the predicted probabilities for categorical
targets. A field is created for each category. Default is . |
|
integer | Maximum number of categories for which to predict probabilities. Used only if
is . |
|
flag | If set to , produces raw propensity scores (likelihood of "True"
outcome) for models with flag targets. If partitions are in effect, also produces adjusted
propensity scores based on the testing partition. Default is . |
|
|
Used to set SQL generation options during flow execution. The options are to push back to the database, or to score within SPSS Modeler. |
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