Convert binary outcome to multiple categorical outcome The 2019 Stack Overflow Developer Survey Results Are In Unicorn Meta Zoo #1: Why another podcast? Announcing the arrival of Valued Associate #679: Cesar Manara 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Results

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Convert binary outcome to multiple categorical outcome



The 2019 Stack Overflow Developer Survey Results Are In
Unicorn Meta Zoo #1: Why another podcast?
Announcing the arrival of Valued Associate #679: Cesar Manara
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Results










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My data set contains binary label Y with values of "correct" and "wrong" . I want to study the reason of wrong state (based on several condition maked on multiple feature). for exemple I want to know if "wrong" is becouse of "commun wrong answer" or "difficulty to answer" . I.e. i want to get Y with 3 labels "correct ", "commun wrong" and "difficult". Is it possible to make it in machine learning logistic regression ? If not, is there any solution for my problem?









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    My data set contains binary label Y with values of "correct" and "wrong" . I want to study the reason of wrong state (based on several condition maked on multiple feature). for exemple I want to know if "wrong" is becouse of "commun wrong answer" or "difficulty to answer" . I.e. i want to get Y with 3 labels "correct ", "commun wrong" and "difficult". Is it possible to make it in machine learning logistic regression ? If not, is there any solution for my problem?









    share







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    Bissan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      $begingroup$


      My data set contains binary label Y with values of "correct" and "wrong" . I want to study the reason of wrong state (based on several condition maked on multiple feature). for exemple I want to know if "wrong" is becouse of "commun wrong answer" or "difficulty to answer" . I.e. i want to get Y with 3 labels "correct ", "commun wrong" and "difficult". Is it possible to make it in machine learning logistic regression ? If not, is there any solution for my problem?









      share







      New contributor




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







      $endgroup$




      My data set contains binary label Y with values of "correct" and "wrong" . I want to study the reason of wrong state (based on several condition maked on multiple feature). for exemple I want to know if "wrong" is becouse of "commun wrong answer" or "difficulty to answer" . I.e. i want to get Y with 3 labels "correct ", "commun wrong" and "difficult". Is it possible to make it in machine learning logistic regression ? If not, is there any solution for my problem?







      machine-learning dataset logistic-regression prediction





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