What is maximum error in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: maximum error

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Maximum absolute difference between predicted and actual values.

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• Key Concepts: 
  Maximum error is a measure of the accuracy of a predictive model. It is the maximum difference between the predicted value and the actual value for any given data point. In SAP Predictive Analytics, maximum error is used to evaluate the performance of a predictive model. 
  
  How to use it: 
  To use maximum error, you must first create a predictive model. Once the model is created, you can use maximum error to evaluate its performance. To do this, you must compare the predicted values from the model with the actual values for each data point. The maximum error is then calculated as the largest difference between these two values. 
  
  Tips & Tricks: 
  When evaluating a predictive model using maximum error, it is important to remember that this measure only tells you how accurate the model is on average. It does not tell you how accurate it is for individual data points. Therefore, it is important to also look at other measures such as mean absolute error or root mean squared error to get a more detailed picture of the model’s performance. 
  
  Related Information: 
  For more information on maximum error and other measures of accuracy for predictive models, please refer to the SAP Predictive Analytics documentation.