Assembly: Stat;
The SmLogisticRegression class is used for data mining using the Logistic Regression method.
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.
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. |
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. |
Property name | Brief description | |
CrossValidation | The CrossValidation property returns cross-validation settings. | |
PerformanceScores | The PerformanceScores property returns cross-validation results. |
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. |
Method name | Brief description | |
ExecuteValidation | The ExecuteValidation method executes cross-validation. |
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: