What is fall-out in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: fall-out

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: A metric in an error matrix that shows the proportion of negative targets that have been incorrectly detected as positive.

Smart SAP Assistant

• Key Concepts: 
  Fall-out is a term used in SAP Predictive Analytics to describe the process of removing records from a dataset that do not meet certain criteria. This process is used to ensure that the data used for analysis is accurate and relevant. 
  
  How to use it: 
  In order to use fall-out, you must first define the criteria for which records should be removed. This can be done by setting up rules or conditions that must be met in order for a record to remain in the dataset. Once these criteria have been established, the fall-out process can be applied to the dataset. This will remove any records that do not meet the criteria and leave only those that do. 
  
  Tips & Tricks: 
  When setting up the criteria for fall-out, it is important to consider how this will affect the accuracy of the analysis. If too many records are removed, it could lead to inaccurate results. It is also important to consider how the fall-out process will affect the size of the dataset. If too many records are removed, it could lead to a smaller dataset which could lead to less accurate results. 
  
  Related Information: 
  Fall-out is an important part of data preparation and should be done carefully in order to ensure accurate results. Other data preparation techniques such as data cleansing and feature engineering can also be used in conjunction with fall-out in order to ensure accurate results from predictive analytics.