What is unassigned record in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: unassigned record

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: An observation that cannot be described by the SQL expressions, when creating clusters. As a result, it is not included in any cluster.

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• Key Concepts: 
  Unassigned records are records in a dataset that have not been assigned to any particular group or category. In SAP Predictive Analytics, unassigned records are used to identify new patterns and trends in data that may not have been previously identified. 
  
  How to use it: 
  Unassigned records can be used to identify new patterns and trends in data. To do this, the unassigned records must first be identified and then analyzed to determine what patterns or trends they may represent. Once identified, the unassigned records can be used to create new models or refine existing models. 
  
  Tips & Tricks: 
  When analyzing unassigned records, it is important to consider the context of the data. For example, if the data is related to customer behavior, it may be helpful to consider the customer’s demographic information or past purchase history when analyzing the unassigned records. 
  
  Related Information: 
  Unassigned records can also be used in conjunction with other predictive analytics techniques such as clustering and classification. Clustering is a technique used to group similar data points together while classification is a technique used to assign labels to data points based on their characteristics. By combining these techniques with unassigned records, more accurate predictions can be made about future trends and behaviors.