De-biasing website fractions - gender

Hi

I have users on our online platform which are not evenly distributed across. In identified users, we have 70% Female vs 30% Male. Which means if I want to indetify new user with out any previous history on website I will be always biasing towards female

My question is how I can

Go back to the old look-alike approach and check if and how that was debiased.

Thanks in advance

Aptitudini: Statistică, Python, Design Experiența Utilizatorului, Analiză statistică

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