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. |