BTreesSpecification Members

Boosted Trees Specifications dialog shows the following functions and properties

Functions

Name Description
Cancel
Ok Return value: Integer.

Properties

Name Description
Application Returns application object. Return value: Object. This property is read only.
AutomaticTestDataProportion Automatic test data proportion. Return/assignment value: Double.
CategoricalResponse Categorical response; dependent or response variable is categorical or class variable. Return/assignment value: Integer.
CrossValidation Return/assignment value: String.
EqualMisclassificationCost Equal misclassification cost. Return/assignment value: Integer.
FactorCodes Factor codes for categorical predictors. Return/assignment value: String.
LearningRate Learning rate of boost tree building. Return/assignment value: Double.
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.
NumberOfAdditiveTrees Number of additive trees. Return/assignment value: Integer.
Parent Returns the parent of the object. Return value: Object. This property is read only.
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.
SeedForRandomNumberGenerator Seed for random sampling. Return/assignment value: Integer.
SubsampleProportion Sub-sampling proportion for building each tree. Return/assignment value: Double.
UseEqualPriors Use equal priors. Return/assignment value: Integer.
UseEstimatedPriors Use estimated priors. Return/assignment value: Integer.
UseUserDefinedMisclassificationCost Use userdefined misclassification cost. Return/assignment value: Integer.
UseUserSpecifiedPriors Use user-specified priors. Return/assignment value: Integer.
UserDefinedMisclassificationCost Use userdefined misclassification cost. Return/assignment value: String.
UserSpecifiedPriors User-specified priors. Return/assignment value: Variant.
Variables Variables for analysis. Return/assignment value: String.