What is deviation in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: deviation

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Measure of difference for interval and ratio variables between the observed value and the mean.

Smart SAP Assistant

• Key Concepts: 
  Deviation is a measure of how much a data point differs from the average of a set of data points. It is used in SAP Predictive Analytics to measure the difference between the predicted value and the actual value. Deviation is calculated by subtracting the predicted value from the actual value and then dividing by the average of all values. 
  
  How to use it: 
  Deviation can be used to identify outliers in a dataset, as well as to measure the accuracy of a predictive model. To calculate deviation, subtract the predicted value from the actual value and then divide by the average of all values. This will give you a measure of how much the data point differs from the average. 
  
  Tips & Tricks: 
  When using deviation to measure accuracy, it is important to remember that a low deviation does not necessarily mean that the model is accurate. It simply means that the difference between the predicted and actual values is small. It is also important to remember that deviation should be used in conjunction with other metrics, such as R-squared or mean absolute error, to get a more complete picture of model accuracy. 
  
  Related Information: 
  Deviation is closely related to other measures of accuracy, such as R-squared and mean absolute error. It can also be used in conjunction with other techniques, such as clustering or classification, to identify patterns in data.