Interactive classification metrics
Get an intuitive sense for the ROC curve and other binary classification metrics with this interactive visualization application.
Read the README for more information.
Install
pip install interactive-classification-metrics
New environment recommended. Python >=3.8, <3.11. Installs:
bokeh==2.4.3
numpy>=1.21.5
pandas==1.4.2
py_mcc_f1==0.1.0
scikit_learn==1.0.2
scipy==1.7.3
Run the application with Bokeh server locally
run-app
Opens a web browser where you can use the application.
Acknowledgments
Special thanks to Dr. Davide Chicco (@davidechicco) for valuable feedback on this project.
1 maintainer
Metadata
1 maintainer
Release files for interactive-classification-metrics 0.2.2
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Total release size: 26.6 kB
Release files / interactive_classification_metrics-0.2.2.tar.gz
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