Analysis result of PCA

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  BalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 Unicorn

  June 2020 Solution Accepted

  Hi,
  
  this is how PCA works. It calculates new principal components (PC_1 to PC_n) from the original attributes. 
  If you need the original attributes in addition to the principal components, you can do the following:
  1. Have or generate a unique ID in your data
  2. Set Role of this ID attribute to id so PCA doesn't change it
  3. Multiply
  4. Execute the PCA on one of the branches
  5. Join the processing branches back based on the ID attribute
  
  If you mark an attribute as label (with Set Role), the PCA operator won't change it. This allows you to build a model on the PCA attributes.
  
  I hope this helps. Here's a PCA video in the RapidMiner Academy:
  https://academy.rapidminer.com/learn/video/workshop-pca
  
  Best regards,
  Balázs

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