Assembly: Stat;
The ISmLogisticRegression interface is used for data mining using the Logistic Regression method.
ISmLogisticRegression
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.
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:
Stat Assembly Interfaces | Logistic regression | Pattern substitution