Properties that can be configured for the Automated (Auto) Classification
algorithm.
Syntax The Automated Classification algorithm is used for binary/categorical classification. This
algorithm detects the model type and algorithm used for best fit based on the target
variable you select. It also decides whether the input should be continuous or
categorical and determines the most appropriate binning for variables. As a result, you
can reduce the data preparation and model testing activities that you perform when
building a predictive model. In addition, it also creates Train and Validate datasets
for model evaluation.
Automated Classification Properties
Table 1:
Algorithm Properties
| Property |
Description |
| Features |
Select the input columns with which you want to perform the
analysis. |
| Target Variable |
Select the target column on which you want to perform the
analysis. |
| Predicted Column Name |
Enter a name for a new column that contains the predicted
values. |