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How to reproduce Principal Components to original features?

Dear Community,

is there a possibility in RapidMiner to see which of the original features were selected/transformed to the extracted Principal Components?

Thank you in advance for your help!

Best regards!

Fatih

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Feature Selection

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Caperez

Hi Muhammed,

You have three output ports in a PCA operator.

The exa port with the results of PCA analysis, the Ori with the original dataset and the pre port with preprocessing information like eigenvalues and eigenvectors.

Which kind of additional information do you need?

Regards

Muhammed_Fatih_

Hi @ceaperez,

Thank you for your feedback!

I want to know which of the original features were considered within the extraction of the respective principal components.

So, for exmaple: Which original features were used for building PC1?

Is there a possibility to comprehend the extraction process?

Best regards,

Fatih

Marco_Barradas

Hi @ceaperez and @mohhamed_syed maybe this link could help you

Data Science: Concepts and Practice

https://rapidminer.com/resource/data-science-concepts-practice/

Page: 470

Or this video
https://academy.rapidminer.com/learn/video/workshop-pca