Use output of K-Mean for Logistics regression












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$begingroup$


I've created a binary classifier using K Mean, which predicts fraud and legitimate accounts, 0 and 1. This uses two features, let's say, A and B.



enter image description here



Now, I want to use other features like C and D, to predict fraud and legitimate accounts. Can I use output class predicted in Kmeans, and use it as a label for logistics regression using features C and D?



Sorry, if this sounds like dummy questions, I'm just starting into Data Science, so please let me know if I missed something fundamental.










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    0












    $begingroup$


    I've created a binary classifier using K Mean, which predicts fraud and legitimate accounts, 0 and 1. This uses two features, let's say, A and B.



    enter image description here



    Now, I want to use other features like C and D, to predict fraud and legitimate accounts. Can I use output class predicted in Kmeans, and use it as a label for logistics regression using features C and D?



    Sorry, if this sounds like dummy questions, I'm just starting into Data Science, so please let me know if I missed something fundamental.










    share|improve this question







    New contributor




    Mukul Jain is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I've created a binary classifier using K Mean, which predicts fraud and legitimate accounts, 0 and 1. This uses two features, let's say, A and B.



      enter image description here



      Now, I want to use other features like C and D, to predict fraud and legitimate accounts. Can I use output class predicted in Kmeans, and use it as a label for logistics regression using features C and D?



      Sorry, if this sounds like dummy questions, I'm just starting into Data Science, so please let me know if I missed something fundamental.










      share|improve this question







      New contributor




      Mukul Jain is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I've created a binary classifier using K Mean, which predicts fraud and legitimate accounts, 0 and 1. This uses two features, let's say, A and B.



      enter image description here



      Now, I want to use other features like C and D, to predict fraud and legitimate accounts. Can I use output class predicted in Kmeans, and use it as a label for logistics regression using features C and D?



      Sorry, if this sounds like dummy questions, I'm just starting into Data Science, so please let me know if I missed something fundamental.







      clustering logistic-regression k-means






      share|improve this question







      New contributor




      Mukul Jain is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Mukul Jain is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Mukul Jain is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 10 mins ago









      Mukul JainMukul Jain

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