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

SAP Term: excluded variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Variable not used in the modeling process. The target variable is automatically excluded.

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• Key Concepts: 
  Excluded variables are those that are not included in the model when building a predictive analytics model. This is done to reduce the complexity of the model and to improve its accuracy. Excluded variables are not used in the model, but they can still be used for other purposes such as data exploration or feature engineering.
  
  How to use it: 
  When building a predictive analytics model, it is important to consider which variables should be excluded from the model. This can be done by analyzing the data and determining which variables are not necessary for the model. It is also important to consider which variables may have a negative impact on the accuracy of the model. Once these variables have been identified, they can be excluded from the model.
  
  Tips & Tricks: 
  When excluding variables from a predictive analytics model, it is important to consider how each variable may affect the accuracy of the model. It is also important to consider how each variable may interact with other variables in the model. Additionally, it is important to consider how each variable may affect the interpretability of the model. 
  
  Related Information: 
  Excluded variables are an important part of feature engineering, which is a process of selecting and transforming features in order to improve the accuracy of a predictive analytics model. Feature engineering can also help improve the interpretability of a predictive analytics model by reducing its complexity and making it easier to understand.