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StepwiseLogisticRegressionAnalysis Properties |
The StepwiseLogisticRegressionAnalysis type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Complete |
Gets the full model.
|
| Current |
Gets the current best nested model.
|
| Inputs |
Gets or sets the name of the input variables.
|
| Iterations |
Gets or sets the maximum number of iterations to be
performed by the regression algorithm. Default is 50.
|
| Nested |
Gets the collection of nested models obtained after
a step of the backward stepwise procedure.
|
| Output |
Gets or sets the name of the output variables.
|
| Outputs |
Gets the dependent variable value
for each of the source input points.
|
| Result |
Gets the resulting probabilities obtained
by the most likely logistic regression model.
|
| Source |
Source data used in the analysis.
|
| Threshold |
Gets or sets the significance threshold used to
determine if a nested model is significant or not.
|
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
|
| Tolerance |
Gets or sets the difference between two iterations of the regression
algorithm when the algorithm should stop. The difference is calculated
based on the largest absolute parameter change of the regression. Default
is 1e-5.
|
| Variables |
Gets the final set of input variables indices
as selected by the stepwise procedure.
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See Also