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Reduction Dimensionality

FlixportFlixport Member Posts: 33 Contributor II
edited April 2019 in Help
Hey Guys,

We have applied the PCA and ChiSquared methods to the topic of dimensionality reduction. This reduces the data volume considerably, which is my question: Can I remove the main component analysis PCA and leave the Weight By PCA method?
I would like to thank you for answering my question.

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Best Answer

Answers

  • varunm1varunm1 Moderator, Member Posts: 1,207   Unicorn
    Hello @Flixport

    Sorry, can you explain your question? I saw your process and it looks fine. Why are you asking to remove PCA?
    Regards,
    Varun
    https://www.varunmandalapu.com/

    Be Safe. Follow precautions and Maintain Social Distancing

  • FlixportFlixport Member Posts: 33 Contributor II
    The reason I ask is because I want to simplify the process and I would omit PCA. I built the validation model in my other process with Random Forest, as you already know, and I don't use the data set from PCA in this model ^^


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