What is training data set in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: training data set

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Data set used for generating a model. By analyzing the training data set, Automated Analytics components generate a model that allows explanation of the target variable, based on the explanatory variables.

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• Key Concepts: 
  A training data set is a set of data used to train a predictive analytics model. It is used to create a model that can accurately predict future outcomes based on past data. The training data set is typically composed of historical data that has been labeled with the desired outcome. 
  
  How to use it: 
  In SAP Predictive Analytics, the training data set is used to create a predictive model. The model is then used to make predictions about future outcomes based on the historical data. To create a training data set, the user must first select the desired outcome and then select the relevant historical data. The user can then use the training data set to create a predictive model. 
  
  Tips & Tricks: 
  When creating a training data set, it is important to ensure that the data is accurate and up-to-date. Additionally, it is important to ensure that the data is labeled correctly so that the predictive model can accurately predict future outcomes. 
  
  Related Information: 
  SAP Predictive Analytics also offers other features such as automated machine learning, which can be used to create predictive models without having to manually create a training data set. Additionally, SAP Predictive Analytics also offers features such as automated feature engineering, which can be used to automatically identify relevant features from the training data set.