Properties that can be configured for the HANA Logistic Regression algorithm.
| Property | Description |
|---|---|
| Output Mode | Select the mode in which you want to use the output of this
algorithm. Possible values:
|
| Independent Columns | Select the input columns with which you want to perform the regression analysis. |
| Dependent Column | Select the target column for which you want to perform the regression analysis. |
| Iteration Method | Select the iteration method. |
| Missing Values | Select the method for handling missing values. Possible
methods:
|
| Show Fitted Values | Select this option to view the fitted values in a new column. |
| Predicted Column Name | Enter a name for the newly-created column that contains the predicted values. |
| Maximum iteration | Enter the maximum number of iterations allowed to calculate the algorithm coefficient. The default value is 100. |
| Exit Threshold | Enter the threshold value for exiting from the iterations. The default value is 0.00001. |
| Number of Threads | Enter the number of threads that the algorithm should use during execution. The default value is 4. |
| Mapping Value for 0 | Enter a value for a variable, which is mapped to 0. |
| Mapping Value for 1 | Enter a value for a variable, which is mapped to 1. |