corresponds to the class labels in a classification model.
usually more readable version which can be used by PMML consumers to display values in scoring results or other applications.
specifies a default probability for the corresponding target category. It is used if the prediction logic itself did not produce a result. The attribute priorProbability is used only if the optype of the field is categorical or ordinal.
the counterpart of prior probabilities for continuous fields. Usually the value is the mean of the target values in the training data. The attribute defaultValue is used only if the optype of the field is continuous.
the counterpart of prior probabilities for continuous fields.
the counterpart of prior probabilities for continuous fields. Usually the value is the mean of the target values in the training data. The attribute defaultValue is used only if the optype of the field is continuous.
usually more readable version which can be used by PMML consumers to display values in scoring results or other applications.
specifies a default probability for the corresponding target category.
specifies a default probability for the corresponding target category. It is used if the prediction logic itself did not produce a result. The attribute priorProbability is used only if the optype of the field is categorical or ordinal.
corresponds to the class labels in a classification model.