The HPFOREST ProcedureOverviewGetting StartedSyntaxDetailsExamplesReferencesDetails: HPFOREST ProcedureSubsections:Bagging the DataTraining a Decision TreeControlling for Variable Selection BiasSelecting a Splitting VariableSearching for a Splitting RulePruningPredicting an ObservationMeasuring Prediction Error Adjusting Statistics When Sampling Target Classes UnevenlyHandling Missing ValuesHandling Values That Are Absent from Training DataModeling Incremental Response from a TreatmentIncreasing Accuracy by Increasing Tree SizeUsing Distributed Data WiselyMeasuring Variable ImportanceDisplaying the OutputODS Table NamesCopyright © SAS Institute Inc. All rights reserved.