ISmLogisticRegression

Assembly: Stat;

Description

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

Inheritance Hierarchy

          IStatMethod

          IStatMethodValid

          IDataMining

          ISmLogisticRegression

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.
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 the explained series.
Explanatories The Explanatories property returns the collection of classification factors.
FilledDependent The FilledDependent property returns the series with calculation results.

Properties inherited from IStatMethodValid

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

The PerformanceScores property returns cross-validation results.

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.

Class object methods inherited from IStatMethodValid

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

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 Interfaces | Logistic regression | Pattern substitution