What is estimator variable in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: estimator variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Variable that can be used to predict another variable behavior.

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• Key Concepts: 
  Estimator variables are used in SAP Predictive Analytics to measure the impact of a certain variable on the outcome of a predictive model. Estimator variables are used to identify which variables have the most influence on the outcome of a predictive model. Estimator variables are also used to determine which variables should be included in a predictive model. 
  
  How to use it: 
  Estimator variables can be used in SAP Predictive Analytics to identify which variables have the most influence on the outcome of a predictive model. Estimator variables can be used to determine which variables should be included in a predictive model. Estimator variables can also be used to measure the impact of a certain variable on the outcome of a predictive model. 
  
  Tips & Tricks: 
  When using estimator variables, it is important to consider the correlation between the estimator variable and the outcome variable. It is also important to consider the impact of other variables on the outcome variable when using estimator variables. 
  
  Related Information: 
  Estimator variables are related to other concepts such as feature selection, feature engineering, and regularization techniques. Feature selection is the process of selecting relevant features for a predictive model, while feature engineering is the process of transforming existing features into new features that can improve the performance of a predictive model. Regularization techniques are used to reduce overfitting in predictive models by penalizing certain parameters.