ISmLogisticRegression

The ISmLogisticRegression interface is used for data mining using the Logistic Regression method.

Inheritance Hierarchy

Comments

This method is used to predict probability of a certain event based on a number of features. For example, if you need to predict whether a certain patient has a disease based on patients' age and gender. This analysis can be used only for binary data.

An explained series must be an array of binary values that indicate the presence or the absence of a characteristic. If observation is set to Double.Nan, it means that observation is skipped and it is required to find whether the characteristic is present. Explained series must represent categorical data.

Properties

	Property name	Brief description
	ClassificationSummary	The ClassificationSummary property returns summary results of classification.
	FinallyExplained	Outdated. Use IDataMining.FilledDependent.
	ModelCoefficients	The ModelCoefficients property returns calculated model coefficients.
	MaxIteration	The MaxIteration property determines the maximum number of iterations, in which the solution must be found.
	NumOfIter	The NumOfIter property returns the number of iterations within which the decision was found.
	Probabilities	The Probabilities property returns a series of forecast probabilities of logistic regression.
	ProbFitted	The ProbFitted property returns probabilities for training objects.
	RelevanceMeasure	The RelevanceMeasure property returns binary classification quality criteria.
	ROCcurve	The ROCcurve property returns ROC curve parameters.
	SummaryStatistics	The SummaryStatistics property returns calculated summary statistics for a model.
	Threshold	The Threshold property determines threshold value of probability for classification.
	Tolerance	The Tolerance property determines accuracy of solution.

Properties inherited from IDataMining

	Property name	Brief description
	Dependent	The Dependent property returns explained series.
	Explained	Outdated. Use IDataMining.Dependent.
	Explanatories	The Explanatories property returns a collection of classification attributes.
	FilledDependent	The FilledDependent property returns a series with calculation results.

Properties inherited from IStatMethodValid

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 at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Class object methods inherited from IStatMethodValid

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.

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	PerformanceScores	The PerformanceScores property returns cross-validation results.

	Method name	Brief description
	ExecuteValidation	The ExecuteValidation method executes cross-validation.