[scikit-learn] PyCM 1.6 released: New machine learning library for confusion matrix statistical analysis

[Sepand Haghighi]

Hi folks

Recently we have released new version of PyCM, library for confusion matrix statistical analysis. I thought you might find it interesting.
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 (more than 90) for predictive models and an accurate evaluation of large variety of classifiers.

Version 1.6 changelog :   
   - AUC Value Interpretation (AUCI) added
   - Example-6 added (Unbalanced data)
   - Anaconda cloud package added
   - overall_param and class_param arguments added to stat, save_stat and save_html methods
   - class_param argument added to save_csv method
   - _ removed from overall statistics names
   - README modified
   - Document modified

Repository : https://github.com/sepandhaghighi/pycmWebsite : http://pycm.shaghighi.ir/Document : http://pycm.shaghighi.ir/doc/Paper Link : PyCM: Multiclass confusion matrix library in Python

 

Best RegardsSepand Haghighi




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