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

SAP Term: classification

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Data mining machine learning technique used to predict group membership for data instances.

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• Key Concepts: 
  Classification is a type of predictive analytics used to assign data points to predefined categories. It is used to identify patterns in data and make predictions about future outcomes. In SAP Predictive Analytics, classification is used to analyze large datasets and identify patterns that can be used to make predictions. 
  
  How to use it: 
  Classification can be used in SAP Predictive Analytics to analyze large datasets and identify patterns that can be used to make predictions. The process involves selecting the appropriate algorithm, training the model, and then using the model to make predictions. The model can then be evaluated and refined as needed. 
  
  Tips & Tricks: 
  When using classification in SAP Predictive Analytics, it is important to select the appropriate algorithm for the task at hand. Different algorithms have different strengths and weaknesses, so it is important to select the one that best fits the task. Additionally, it is important to evaluate the model after training and refine it as needed. 
  
  Related Information: 
  SAP Predictive Analytics provides a variety of algorithms for classification, including logistic regression, decision trees, support vector machines, and neural networks. Additionally, there are a variety of tools available for evaluating and refining models, such as cross-validation and hyperparameter tuning.