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

SAP Term: lift

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Measure that indicates the chances of finding the consequent by using the antecedent compared with the chances of randomly finding the consequent. A value greater than 1 indicates that using the antecedent increases your chances of finding the consequent.

Smart SAP Assistant

• Key Concepts: 
  Lift is a measure of the effectiveness of a predictive model. It is calculated by comparing the performance of a model to the performance of a baseline model. The lift value indicates how much better the predictive model is than the baseline model. For example, if the lift value is 2, then the predictive model is twice as effective as the baseline model. 
  
  How to use it: 
  In SAP Predictive Analytics, lift can be used to evaluate the performance of a predictive model. To calculate lift, you need to compare the performance of your predictive model to a baseline model. The baseline model can be any simple model such as a random guess or a majority classifier. Once you have calculated the lift value, you can use it to determine how effective your predictive model is compared to the baseline model. 
  
  Tips & Tricks: 
  When evaluating a predictive model, it is important to consider both accuracy and lift. While accuracy measures how well a model predicts outcomes, lift measures how much better it performs than a baseline model. Therefore, it is important to consider both accuracy and lift when evaluating a predictive model. 
  
  Related Information: 
  Lift can also be used in marketing campaigns to measure the effectiveness of an advertising campaign. By calculating the lift value for an advertising campaign, marketers can determine how much more effective their campaign was than a baseline campaign. This can help marketers optimize their campaigns for maximum effectiveness.