Field Processing Summary (automated data preparation)
The Field Processing Summary table gives a snapshot of the projected overall impact of processing, including changes to the state of the features and the number of features constructed.
Note that no model is actually built, so there isn't a measure or graph of the change in overall predictive power before and after data preparation; instead, you can display graphs of the predictive power of individual recommended predictors.
The table displays the following information:
- The number of target fields.
- The number of original (input) predictors.
- The predictors recommended for use in analysis and modeling. This includes the total number of fields recommended; the number of original, untransformed, fields recommended; the number of transformed fields recommended (excluding intermediate versions of any field, fields derived from date/time predictors, and constructed predictors); the number of fields recommended that are derived from date/time fields; and the number of constructed predictors recommended.
- The number of input predictors not recommended for use in any form, whether in their original form, as a derived field, or as input to a constructed predictor.
Where any of the Fields information is underlined, click to display more details in a linked view. Details of the Target, Input features, and Input features not used are shown in the Fields Table linked view. See the topic Fields Table (automated data preparation) for more information. Features recommended for use in analysis are displayed in the Predictive Power linked view. See the topic Predictive Power (automated data preparation) for more information.