Is there any strategy for validating the result of a general comparison between several confusion matrices?
$begingroup$
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
python classification multiclass-classification evaluation pycm
$endgroup$
add a comment |
$begingroup$
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
python classification multiclass-classification evaluation pycm
$endgroup$
add a comment |
$begingroup$
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
python classification multiclass-classification evaluation pycm
$endgroup$
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
python classification multiclass-classification evaluation pycm
asked 4 mins ago
Alireza ZolanvariAlireza Zolanvari
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368117
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