The TREESPLIT Procedure

ODS Table Names

PROC TREESPLIT assigns a name to each table it creates. You can use these names to refer to the table when you use the Output Delivery System (ODS) to select tables and create output data tables. Table 21.6 lists these names.

Table 21.6: ODS Tables Produced by PROC TREESPLIT

Table Name	Description	Statement	Option
BestConfiguration	Hyperparameters and objective function values for the best configuration	AUTOTUNE	Default
CostComplexity	Information about the number of leaves and the error for cost-complexity pruning when validation data are used	PROC TREESPLIT	PRUNINGTABLE
CrossValidationValues	Results for cost-complexity pruning based on cross validation	PROC TREESPLIT	CVCC
EvaluationHistory	Values of the hyperparameters and the objective function for all configurations	AUTOTUNE	Default / EvalHistory=ALL
ModelInfo	Information about the modeling environment	PROC TREESPLIT	Default
NObs	Observation information	PROC TREESPLIT	Default
PredName	Predicted name information for interval targets	PROC TREESPLIT	PRINTTARGET
PredProbName	Predicted probability name information for nominal targets	PROC TREESPLIT	PRINTTARGET
PredIntoName	Predicted name information for nominal targets	PROC TREESPLIT	PRINTTARGET
RBAImportance	Random branch assignment variable importance	PROC TREESPLIT	RBAIMP
ReducedError	Information about the number of leaves and the error for reduced-error pruning when validation data are used	PROC TREESPLIT	PRUNINGTABLE
TreePerformance	Fit statistics for the selected tree	PROC TREESPLIT	Default
TunerInfo	Setup values used by the tuner	AUTOTUNE	Default
TunerResults	Values of the hyperparameters and the objective function for the default configuration (Iteration 0) and up to 10 best configurations found	AUTOTUNE	Default
TunerSummary	Statistics about the tuning process	AUTOTUNE	Default
TunerTiming	Total time spent on different tasks while tuning	AUTOTUNE	Default
VariableImportance	Variable importance	PROC TREESPLIT	Default

Last updated: December 21, 2018