Properties that can be configured for the Automated (Auto) Regression
algorithm.
Syntax The Automated Regression algorithm uses a technique called Structural Risk Minimization
and builds a polynomial model. This algorithm can handle a very high number of input
attributes in an automated fashion to find trends in data. It provides indicators and
graphs to ensure that the quality and robustness of trained models can be easily
assessed.
Automated Regression Properties
Table 1:
Algorithm Properties
| Property |
Description |
| Features |
Select input columns with which you want to perform the
regression analysis. |
| Target Variable |
Select the target column for which you want to perform the
regression analysis. |
| Predicted Column Name |
Enter a name for the newly-created column that contains predicted
values. |