What is prediction confidence in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: prediction confidence

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Robustness indicator of a predictive model. It expresses the capacity of a predictive model to achieve the same predictive performance when it is applied to a new data set which has the same characteristics as the training data set. A predictive model with a prediction confidence that is equal to or greater than 0.95 is considered robust. It has a high capacity for generalization.

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• Key Concepts: 
  Prediction confidence is a measure of the accuracy of a predictive model. It is calculated by comparing the predicted values to the actual values in the data set. The higher the prediction confidence, the more accurate the model is. 
  
  How to use it: 
  In SAP Predictive Analytics, prediction confidence is used to evaluate the accuracy of a predictive model. It is calculated by comparing the predicted values to the actual values in the data set. The higher the prediction confidence, the more accurate the model is. 
  
  Tips & Tricks: 
  When evaluating a predictive model, it is important to consider both its prediction confidence and its accuracy. A model with a high prediction confidence may not be as accurate as one with a lower prediction confidence. Therefore, it is important to consider both metrics when evaluating a predictive model. 
  
  Related Information: 
  In addition to prediction confidence, other metrics such as precision and recall can be used to evaluate a predictive model. Additionally, it is important to consider other factors such as data quality and feature selection when building a predictive model.