Re: Confusion matrix statistical analysis

Well done! I'm using Scikit-Learn metrics for classifiers, what is missing
there that you bring to the table?

Thanks,
Denis

On Fri, Dec 7, 2018, 8:28 AM Sepand Haghighi <[email protected]>
wrote:

> Dear All,
>
> Here I want to introduce an open source Python library which named PyCM.
> PyCM is a machine learning library providing statistical analysis of
> confusion matrix through a large variety of parameters such as AUC,
> Confusion Entropy, information theory related parameters, and etc. This
> developing library can be used in order to evaluate the performance of
> different machine learning algorithms by offering different evaluation
> parameters on their resulted confusion matrix.
>
> PyCM is a multi-class confusion matrix library written in Python that
> supports both input data vectors and direct matrix, and a proper tool for
> post-classification model evaluation that supports most classes and overall
> statistics parameters. PyCM is the swiss-army knife of confusion matrices,
> targeted mainly at data scientists that need a broad array of metrics for
> predictive models and an accurate evaluation of large variety of
> classifiers.
>
> Do not hesitate to contact us about this library and help us to develop it
> by your valuable suggestions.
> You can find us on  https://github.com/sepandhaghighi/pycm
> <http://dear%20all%2C%20%20%20here%20i%20want%20to%20introduce%20an%20open%20source%20python%20library%20which%20named%20pycm.%20pycm%20is%20a%20machine%20learning%20library%20providing%20statistical%20analysis%20of%20confusion%20matrix%20through%20a%20large%20variety%20of%20parameters%20such%20as%20auc%2C%20confusion%20entropy%2C%20information%20theory%20related%20parameters%2C%20and%20etc.%20this%20developing%20library%20can%20be%20used%20in%20order%20to%20evaluate%20the%20performance%20of%20different%20machine%20learning%20algorithms%20by%20offering%20different%20evaluation%20parameters%20on%20their%20resulted%20confusion%20matrix.%20%20pycm%20is%20a%20multi-class%20confusion%20matrix%20library%20written%20in%20python%20that%20supports%20both%20input%20data%20vectors%20and%20direct%20matrix%2C%20and%20a%20proper%20tool%20for%20post-classification%20model%20evaluation%20that%20supports%20most%20classes%20and%20overall%20statistics%20parameters.%20pycm%20is%20the%20swiss-army%20knife%20of%20confusion%20matrices%2C%20targeted%20mainly%20at%20data%20scientists%20that%20need%20a%20broad%20array%20of%20metrics%20for%20predictive%20models%20and%20an%20accurate%20evaluation%20of%20large%20variety%20of%20classifiers.%20%20do%20not%20hesitate%20to%20contact%20us%20about%20this%20library%20and%20help%20us%20to%20develop%20it%20by%20your%20valuable%20suggestions.%20you%20can%20find%20us%20on%20https//github.com/sepandhaghighi/pycm>
>
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