What is robustness in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: robustness

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Predictive power of the model applied to an application data set.

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• Key Concepts: 
  Robustness is a measure of how well a system can handle unexpected changes or conditions. In the context of SAP Predictive Analytics, robustness refers to the ability of the system to accurately predict outcomes even when faced with unexpected data or conditions. 
  
  How to use it: 
  Robustness is an important factor to consider when using SAP Predictive Analytics. The system should be able to accurately predict outcomes even when faced with unexpected data or conditions. To ensure robustness, it is important to use a variety of data sources and to regularly test and validate the system’s predictions. 
  
  Tips & Tricks: 
  When testing the robustness of SAP Predictive Analytics, it is important to use a variety of data sources and to regularly test and validate the system’s predictions. Additionally, it is important to monitor the system for any unexpected changes or conditions that may affect its accuracy. 
  
  Related Information: 
  For more information on SAP Predictive Analytics and robustness, please refer to the official SAP documentation. Additionally, there are many online resources available that provide tips and tricks for using SAP Predictive Analytics.