Supported model Features for output mappings

Details on the feature output mappings.

Model 'Features' are pieces of information you can fetch from the scored record, that describe different aspects of the scoring result. Features are described in detail in the PMML specification. See Result features in this page for reference.

The meaning of the columns in the table below are:
  • Feature the name of the feature as you would use it in the output mapping specification.
  • SPL types the allowed SPL types for the Streams output attribute defined in the mapping for this feature. If list and primitive types are allowed, usually the primitive type will get the first element of the resulting list.
  • Comment additional info if applicable

    Feature

    SPL types

    Comment

    PredictedValue

    rstring

    Probability

    map<rstring,float64>

    Confidence

    list<float64> or float64

    StandardError

    float64

    ClusterAffinity

    list<float64> or float64

    EntityAffinity

    list<float64> or float64

    EntityId

    list<rstring> or rstring

    ClusterId

    list<rstring> or rstring

    Affinity

    list<rstring> or rstring

    ReasonCode

    rstring

    Extended

    map<rstring,float64>

    SPSS proprietary

    RecordId

    list<rstring> or rstring

    SPSS proprietary