predict_proba returns different results on Python 2 & 3












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I had some old code used to train a Random Forest Classifier (sklearn 0.17.1), for classification on two classes (spam/ham). I ran this in a docker container and sent it some data.



Sklearns predict_proba returns [0.3, 0.7].



I “rewrote” (literally changed a few lines for Python3 compatibility), trained with the same data, and sent it the same data, and now predict_proba returns [0.7, 0.3].



Did something change in sklearn.ensemble.RandomForestClassifier predict_proba or have I messed up somewhere, or does the new one still work?










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    Could you share a code that reproduces your error ?
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0












$begingroup$


I had some old code used to train a Random Forest Classifier (sklearn 0.17.1), for classification on two classes (spam/ham). I ran this in a docker container and sent it some data.



Sklearns predict_proba returns [0.3, 0.7].



I “rewrote” (literally changed a few lines for Python3 compatibility), trained with the same data, and sent it the same data, and now predict_proba returns [0.7, 0.3].



Did something change in sklearn.ensemble.RandomForestClassifier predict_proba or have I messed up somewhere, or does the new one still work?










share|improve this question







New contributor




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







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  • $begingroup$
    Could you share a code that reproduces your error ?
    $endgroup$
    – Robin Nicole
    yesterday














0












0








0


2



$begingroup$


I had some old code used to train a Random Forest Classifier (sklearn 0.17.1), for classification on two classes (spam/ham). I ran this in a docker container and sent it some data.



Sklearns predict_proba returns [0.3, 0.7].



I “rewrote” (literally changed a few lines for Python3 compatibility), trained with the same data, and sent it the same data, and now predict_proba returns [0.7, 0.3].



Did something change in sklearn.ensemble.RandomForestClassifier predict_proba or have I messed up somewhere, or does the new one still work?










share|improve this question







New contributor




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







$endgroup$




I had some old code used to train a Random Forest Classifier (sklearn 0.17.1), for classification on two classes (spam/ham). I ran this in a docker container and sent it some data.



Sklearns predict_proba returns [0.3, 0.7].



I “rewrote” (literally changed a few lines for Python3 compatibility), trained with the same data, and sent it the same data, and now predict_proba returns [0.7, 0.3].



Did something change in sklearn.ensemble.RandomForestClassifier predict_proba or have I messed up somewhere, or does the new one still work?







scikit-learn random-forest






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  • $begingroup$
    Could you share a code that reproduces your error ?
    $endgroup$
    – Robin Nicole
    yesterday


















  • $begingroup$
    Could you share a code that reproduces your error ?
    $endgroup$
    – Robin Nicole
    yesterday
















$begingroup$
Could you share a code that reproduces your error ?
$endgroup$
– Robin Nicole
yesterday




$begingroup$
Could you share a code that reproduces your error ?
$endgroup$
– Robin Nicole
yesterday










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Maybe...
Have a you seen if one of the predict_proba produces 2 columns?



I think Python 3 produces two columns and the one comparable is the second.






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    $begingroup$

    Maybe...
    Have a you seen if one of the predict_proba produces 2 columns?



    I think Python 3 produces two columns and the one comparable is the second.






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      $begingroup$

      Maybe...
      Have a you seen if one of the predict_proba produces 2 columns?



      I think Python 3 produces two columns and the one comparable is the second.






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        $begingroup$

        Maybe...
        Have a you seen if one of the predict_proba produces 2 columns?



        I think Python 3 produces two columns and the one comparable is the second.






        share|improve this answer










        New contributor




        Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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        $endgroup$



        Maybe...
        Have a you seen if one of the predict_proba produces 2 columns?



        I think Python 3 produces two columns and the one comparable is the second.







        share|improve this answer










        New contributor




        Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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        answered yesterday









        Juan Esteban de la CalleJuan Esteban de la Calle

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