Classification Tree

A PMML classification tree model predicts membership of a categorical dependent variable from one or more independent variables.

Model Element

<TreeModel functionName="classification" ...

Unsupported Features

Classification trees with a missing value strategy of "aggregateNodes" or "weightedConfidence" are not supported.

Classification Tree models with the <MiningSchema> element containing a reference to a <DerivedField> element are not supported.

Model Outputs

By default the target field will be available as an output field - this is a synonym for the predictedValue feature.

Supported Model Output Features Description
predictedValue The categorical dependent variable that we are predicting membership of.
transformedValue A value generated via a transformation expression applied to the predicted model output.
decision A value generated via an expression applied to the predicted model output resulting in a categorized value.
predictedDisplayValue The human readable value used to represent the predicted value from the model.
probability The statistical probability of the predicted value. Multiple probability outputs can be specified in the model, one for each predicted category or by rank.
residual The residual of the probability output value (1 - probability) for the predicted category or rank. Multiple residual outputs can be specified in the model, one for each predicted category or by rank.
entityId If present, the ID of the tree node of the predicted result.