I have users on our online platform which are not evenly distributed across. In identified users, we have 5M Female vs 3.7M 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. 
  • Also sorry if I can not formulate my question well

Any suggestions/help will be appreciated

Thanks in advance


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