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

SAP Term: variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Attribute that describes observations stored in a database. It has three main properties: value type continuous, ordinal, nominal or textual, its storage format for example, date, number, or string, and its role Target, Explanatory, or Weight.

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• Key Concepts: 
  A variable is a data element that can take on different values. In SAP Predictive Analytics, variables are used to represent the data that is used in predictive models. Variables can be either continuous or categorical, and they can be used to represent both input and output data. 
  
  How to use it: 
  Variables are used to define the data that will be used in predictive models. When creating a predictive model, the user must first define the variables that will be used in the model. This includes specifying the type of variable (continuous or categorical) and whether it will be used as an input or output variable. Once the variables have been defined, they can then be used to create the predictive model. 
  
  Tips & Tricks: 
  When defining variables for a predictive model, it is important to consider how each variable will affect the model’s accuracy. For example, if a variable is highly correlated with another variable, it may not be necessary to include both variables in the model. Additionally, it is important to consider how each variable will interact with other variables in the model. 
  
  Related Information: 
  For more information on variables and how they are used in SAP Predictive Analytics, please refer to the SAP Predictive Analytics documentation. Additionally, there are many online resources available that provide more detailed information on predictive analytics and how variables are used in predictive models.