biocore / biocore/gemelli

How to interpret the rank of features?

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Dominant language
Python
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Description

Is the rank of feature in CTF means the importance of features, just like rank in PCA?
In 2.2.0-compare-feature-ranks/1.0.0-rankings.ipynb, what is the reason of claiming 'pos in both is more vaginal and more neg is C-section'?
Thank you for your help!

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Research direction

Start with 2.2.0-compare-feature-ranks/1.0.0-rankings.ipynb and inspect how feature ranks and the CTF results are presented. Clarify what the rank represents and document the reasoning behind the statement about positive and negative ranks; the notebook should make both interpretations understandable.

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Assessment

Tech stack
python
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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