SmRandomForest

Assembly: Stat;

Description

The ISmRandomForest interface is used to work with the Random Forest decision tree ensemble.

Comments

Random forest. is a method of classification problem solution suggested by Leo Breiman. The method is a class of machine-learning algorithms.

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.

Class properties inherited from ISmRandomForest

  Property name Brief description
CategoriesList The CategoriesList property returns a list of categories.
ClassificationSummary The ClassificationSummary property returns summary results of classification.
Dependent The Dependent property returns an explained series.
ExplanatoriesCategorical The ExplanatoriesCategorical property returns explanatory categorical series.
ExplanatoriesContinuous The ExplanatoriesContinuous property returns explanatory quantitative series.
ExplanatoriesOrdered The ExplanatoriesOrdered property returns explanatory ordinal series.
FilledDependent The FilledDependent property returns predicted classification.
Forest The Forest property returns an array of trees.
ForestSize The ForestSize property determines the number of trees in random forest.
LearningSamplePortion The LearningSamplePortion property determines sample proportion for learning of the tree.
NumberOfPredictors The NumberOfPredictors property determines the number of attributes, which form a random tree.
ROCcurve The ROCcurve property returns ROC curve parameters.
Probability The Probability property returns a two-dimensional array of probabilities, which determine whether observations are assigned to the selected categories.
TreeSizeSpecification The TreeSizeSpecification property returns tree specification.

Properties inherited from IStatMethod

  Property name Brief description
DisplayName The DisplayName property returns the displayed method name.
ErrorByStatus The ErrorByStatus property returns an error message by the error number.
Errors The Errors property returns a message with all the errors and warnings.
Name The Name property returns the internal method name.
PerformanceTime The PerformanceTime property returns method execution time.
Status The Status property returns the method execution status.
SupportsR The SupportsR property returns whether statistical method can be calculated via R package.
UseR The UseR property determines whether statistical method is calculated via the R package.
WarningByStatus The WarningByStatus property returns a warning text by its number.
Warnings The Warnings property returns the warnings that occurred on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on method calculation.

Methods inherited from IStatMethod

  Method Name Brief description
Clone The Clone method clones a statistical method object.
Execute The Execute method executes a statistical method.
LoadFromXML The LoadFromXML method loads statistical method settings from XML code.
SaveToXML The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes