ITreesSpecification Members

These members are related to Interactive Classification and Regression Trees Specifications dialog.

Functions

Name Description
Cancel -
OK Return value: Integer.

Properties

Name Description
Application Returns application object. Return value: Object. This property is read only.
AutomaticIntervalsForContinuousPredictorsInEachNode Automatically create optimal intervals for continuous predictors. Return/assignment value: Integer.
BonferroniAdjustment Bonferroni adjustment. Return/assignment value: Integer.
CategoricalResponse Categorical response; dependent or response variable is categorical or class variable. Return/assignment value: Integer.
CollectSensitivityAnalysisData Collect sensitivity analysis data. Assignment value: Integer.
CrossValidateTreeSequence Cross-validate tree sequence. Return/assignment value: Integer.
CrossValidation Return/assignment value: String.
EqualMisclassificationCost Equal misclassification cost. Return/assignment value: Integer.
FACTStyleDirectStopping FACT-style direct stopping. Return/assignment value: Integer.
FactorCodes Factor codes for categorical predictors. Return/assignment value: String.
FractionOfObjectToStop Fraction of objects to stop. Return/assignment value: Double.
IntervalsForContinuousPredictors Intervals for continuous predictors. Return/assignment value: String.
MaximumNumberOfLevelsInTree Maximum number of levels for final tree. Return/assignment value: Integer.
MaximumNumberOfNodes Maximum number of nodes. Return/assignment value: Integer.
MinimumChildNodeSizeToStop Minimum child node size to stop. Return/assignment value: Integer.
MinimumNToStop Minimum N-to-stop. Return/assignment value: Integer.
Name Return value: String. This property is read only.
NumberOfSurrogates Number of surrogates. Return/assignment value: Integer.
Parent Returns the parent of the object. Return value: Object. This property is read only.
ProbabilityForMerging Probability for merging. Return/assignment value: Double.
ProbabilityForSplitting Probability for splitting. Return/assignment value: Double.
PruneOnDeviance Prune on deviance. Return/assignment value: Integer.
PruneOnMisclassificationError Prune on misclassification error. Return/assignment value: Integer.
ResponseCodes Codes identifying group (class) membership for dependent variable (response variable). Return/assignment value: String.
ResultsCodes Assignment value: Variant.
ResultsOption Assignment value: Integer.
ResultsOutputFields Assignment value: Variant.
ResultsSaveFileName Assignment value: String.
ResultsSelection Assignment value: Variant.
ResultsSelectionOption Assignment value: Variant.
ResultsValues Assignment value: Variant.
ResultsVariables Assignment value: Variant.
SeedForVFoldCrossValidation Seed for V-fold cross-validation. Return/assignment value: Integer.
SplittingMergedCategories Splitting merged categories. Return/assignment value: Integer.
StandardErrorRule Standard error rule. Return/assignment value: Double.
UseAllCodesForDependentVariableInData Automatically select and use all codes in the categorical dependent (response) variable. Return/assignment value: Integer.
UseAllCodesForPredictorsInData Automatically select and use all codes in the categorical predictor variables. Return/assignment value: Integer.
UseChiSquareMeasure Use Chi-square measure. Return/assignment value: Integer.
UseDepenendtVariableAsOrdinalDependent Categorical response; treat categorical dependent variable as ordinal variable. Return/assignment value: Integer.
UseEqualPriors Use equal priors. Return/assignment value: Integer.
UseEstimatedPriors Use estimated priors. Return/assignment value: Integer.
UseGSquareMeasure Use G-square measure. Return/assignment value: Integer.
UseGiniMeasure Use gini measure. Return/assignment value: Integer.
UseUserDefinedMisclassificationCost Use userdefined misclassification cost. Return/assignment value: Integer.
UseUserSpecifiedPriors Use user-specified priors. Return/assignment value: Integer.
UseVFoldCrossValidation Use V-fold cross-validation. Return/assignment value: Integer.
UserDefinedMisclassificationCost Use userdefined misclassification cost. Return/assignment value: String.
UserSpecifiedPriors User-specified priors. Return/assignment value: Variant.
VValueForVFoldCrossValidation V-value for V-fold cross-validation. Return/assignment value: Integer.
Variables Variables for analysis. Return/assignment value: String.