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jacobgil / confidenceinterval

The long missing library for python confidence intervals
MIT License
131 stars 14 forks source link

Added code to generate a classification report #9

Closed simonada closed 4 months ago

simonada commented 4 months ago

Hi @jacobgil,

This pull request aims to allow users to generate a classification report similar to those created by scikit-learn, but with additional functionality to include confidence intervals for each metric. Leveraging the existing implementations within your library, it computes precision, recall, and F1-score for each class, both individually and as micro and macro averages.

Please review for any potential errors, and don't hesitate to suggest any improvements.

Much appreciated, and thank you for your outstanding package!

jacobgil commented 4 months ago

You ROCK, this is a great contribution.

Does it make sense to add a section with this to the Readme? Maybe with an example dataframe output?

simonada commented 4 months ago

Hi @jacobgil, thanks for the feedback :)

I made some small fixes to the code and added a section in the Readme file.