Auto Classification

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.