What is polynomial degree in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: polynomial degree

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Degree defining the complexity of the model. It can be 1, 2, 3 or greater.

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• Key Concepts: 
  Polynomial degree is a term used in SAP Predictive Analytics to describe the complexity of a model. It is the highest exponent of the polynomial equation used to fit the data. The higher the degree, the more complex the model and the more accurate it is likely to be.
  
  How to use it: 
  When creating a predictive model, you can choose the polynomial degree that best fits your data. Generally, higher degrees will provide more accurate results, but they can also lead to overfitting. It is important to find a balance between accuracy and complexity.
  
  Tips & Tricks: 
  When selecting a polynomial degree, start with a low degree and increase it until you find the best fit for your data. You can also use cross-validation techniques to determine which degree provides the best results.
  
  Related Information: 
  Polynomial degree is related to other terms such as polynomial regression and overfitting. Polynomial regression is a type of regression analysis that uses polynomials to fit data points, while overfitting occurs when a model is too complex and does not generalize well to new data points.