What is true negative in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: true negative

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: It is the number of correctly predicted negative targets.

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• Key Concepts: 
  True negative is a term used in SAP Predictive Analytics to describe a situation where the model correctly predicts that an event will not occur. For example, if a model is predicting whether or not a customer will purchase a product, a true negative would be when the model correctly predicts that the customer will not purchase the product. 
  
  How to use it: 
  True negatives are used to measure the accuracy of a predictive model. The higher the number of true negatives, the more accurate the model is at predicting when an event will not occur. This can be used to measure the performance of a predictive model and make adjustments as needed. 
  
  Tips & Tricks: 
  When evaluating a predictive model, it is important to look at both true positives and true negatives. While true positives measure how well the model predicts when an event will occur, true negatives measure how well it predicts when an event will not occur. Both are important for understanding the accuracy of a predictive model. 
  
  Related Information: 
  True negatives are just one of many metrics used to evaluate predictive models. Other metrics include false positives, false negatives, precision, recall, and accuracy. Understanding these metrics can help you better understand how your predictive models are performing and make adjustments as needed.