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

SAP Term: true positive

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Correctly identified signal, which is the number of correctly predicted positive targets.

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• Key Concepts: 
  True positive is a term used in predictive analytics to describe when a model correctly identifies an event or outcome. In the context of SAP Predictive Analytics, true positive is when the model accurately predicts an event or outcome. 
  
  How to use it: 
  True positive can be used to measure the accuracy of a predictive model. It is calculated by dividing the number of true positives by the total number of actual positives. This can be used to determine how well a model is performing and if it needs to be adjusted or improved. 
  
  Tips & Tricks: 
  When evaluating a predictive model, it is important to consider both true positives and false positives. False positives can lead to inaccurate predictions and should be taken into account when assessing the accuracy of a model. Additionally, it is important to consider the context in which the model is being used and how it will be applied in order to ensure that it is providing accurate predictions. 
  
  Related Information: 
  True positive is related to other terms such as false positive, true negative, and false negative. These terms are all used in predictive analytics to measure the accuracy of a model. Additionally, true positive can be used in conjunction with other metrics such as precision and recall in order to evaluate the performance of a predictive model.