Exclude Fields (automated data preparation)
Poor quality data can affect the accuracy of your predictions; therefore, you can specify the acceptable quality level for input features. All fields that are constant or have 100% missing values are automatically excluded.
Exclude low quality input fields. Deselecting this option disables all other Exclude Fields controls while maintaining the selections.
Exclude fields with too many missing values. Fields with more than the specified percentage of missing values are removed from further analysis. Specify a value greater than or equal to 0, which is equivalent to deselecting this option, and less than or equal to 100, though fields with all missing values are automatically excluded. The default is 50.
Exclude nominal fields with too many unique categories. Nominal fields with more than the specified number of categories are removed from further analysis. Specify a positive integer. The default is 100. This is useful for automatically removing fields containing record-unique information from modeling, like ID, address, or name.
Exclude categorical fields with too many values in a single category. Ordinal and nominal fields with a category that contains more than the specified percentage of the records are removed from further analysis. Specify a value greater than or equal to 0, equivalent to deselecting this option, and less than or equal to 100, though constant fields are automatically excluded. The default is 95.