Is there any strategy for validating the result of a general comparison between several confusion matrices?












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Disclaimer:



Recently we have developed a python library named PyCM specialized for analyzing multi-class confusion matrices. A compare system has been added in version 2 of this module in order to generally (not considering the subject of the problem) compare the resulted confusion matrices from different classification methods over a unique data-set.



Now, we are searching for a strategy which can validate the result of this option.



This strategy can be either a mathematical proof or a counterexample.





P.S.1. In order to find out how this module works please read the Compare section at this document.





P.S.2. For further information visit the following links or ask your questions as a comment.



Website: http://www.pycm.ir/



Github: https://github.com/sepandhaghighi/pycm



Paper: https://www.theoj.org/joss-papers/joss.00729/10.21105.joss.00729.pdf









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    $begingroup$


    Disclaimer:



    Recently we have developed a python library named PyCM specialized for analyzing multi-class confusion matrices. A compare system has been added in version 2 of this module in order to generally (not considering the subject of the problem) compare the resulted confusion matrices from different classification methods over a unique data-set.



    Now, we are searching for a strategy which can validate the result of this option.



    This strategy can be either a mathematical proof or a counterexample.





    P.S.1. In order to find out how this module works please read the Compare section at this document.





    P.S.2. For further information visit the following links or ask your questions as a comment.



    Website: http://www.pycm.ir/



    Github: https://github.com/sepandhaghighi/pycm



    Paper: https://www.theoj.org/joss-papers/joss.00729/10.21105.joss.00729.pdf









    share









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      $begingroup$


      Disclaimer:



      Recently we have developed a python library named PyCM specialized for analyzing multi-class confusion matrices. A compare system has been added in version 2 of this module in order to generally (not considering the subject of the problem) compare the resulted confusion matrices from different classification methods over a unique data-set.



      Now, we are searching for a strategy which can validate the result of this option.



      This strategy can be either a mathematical proof or a counterexample.





      P.S.1. In order to find out how this module works please read the Compare section at this document.





      P.S.2. For further information visit the following links or ask your questions as a comment.



      Website: http://www.pycm.ir/



      Github: https://github.com/sepandhaghighi/pycm



      Paper: https://www.theoj.org/joss-papers/joss.00729/10.21105.joss.00729.pdf









      share









      $endgroup$




      Disclaimer:



      Recently we have developed a python library named PyCM specialized for analyzing multi-class confusion matrices. A compare system has been added in version 2 of this module in order to generally (not considering the subject of the problem) compare the resulted confusion matrices from different classification methods over a unique data-set.



      Now, we are searching for a strategy which can validate the result of this option.



      This strategy can be either a mathematical proof or a counterexample.





      P.S.1. In order to find out how this module works please read the Compare section at this document.





      P.S.2. For further information visit the following links or ask your questions as a comment.



      Website: http://www.pycm.ir/



      Github: https://github.com/sepandhaghighi/pycm



      Paper: https://www.theoj.org/joss-papers/joss.00729/10.21105.joss.00729.pdf







      python classification multiclass-classification evaluation pycm





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      asked 4 mins ago









      Alireza ZolanvariAlireza Zolanvari

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