IDmRandomForest

Assembly: Ms;

Description

The IDmRandomForest interface is used to set up calculation options of the Random Forest algorithm of the Decision Tree Ensembles method on data mining.

Inheritance Hierarchy

IDmMethodDetails

IDmAttributesDetails

IDmTargetDetails

IDmTemplateFillDetails

IDmForestDetails

IDmRandomForest

Comments

Random forest is machine-learning algorithm to solve regression and classification tasks based on decision tree ensemble.

Ensemble (committee) of decision trees is used to build decision rules. Objects are classified by means of voting: each tree of the created tree assigns the considered object to one of the categories. The category that scores the most of votes wins.

Properties

	Property name	Brief description
	ForestSize	The ForestSize property determines the number of trees in a random forest.
	LearningSamplePortion	The LearningSamplePortion property determines the learning sample proportion for tree training.
	NumberOfPredictors	The NumberOfPredictors property determines the number of attributes that create a random tree.

Properties inherited from IDmTargetDetails

	Property name	Brief description
	Target	The Target property determines index of the data source field containing analyzed information.

Properties inherited from IDmAttributesDetails

	Property name	Brief description
	Attributes	The Attributes property determines indexes of fields of the data source containing analysis factors.

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	DisplayName	The DisplayName property returns method name.
	InputDataSource	The InputDataSource property determines a input data source.
	StatMethod	The StatMethod property returns parameters of a statistical method used in analysis.

Methods inherited from IDmForestDetails

	Property name	Brief description
	TreeSizeSpecification	The TreeSizeSpecification property returns tree specification.

Methods inherited from IDmTemplateFillDetails

	Method name	Brief description
	FillTarget	The FillTarget method loads results of missing data substitution to data source.