interactive-classification-metrics

Name	interactive-classification-metrics JSON
Version	0.2.2 JSON
	download
home_page	None
Summary	Interactive classification metrics
upload_time	2024-09-02 22:17:58
maintainer	None
docs_url	None
author	David H. Brown
requires_python	<3.11,>=3.8
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Interactive classification metrics
Get an intuitive sense for the ROC curve and other binary classification metrics with this interactive visualization application.

Read the [README](https://github.com/davhbrown/interactive-classification-metrics) 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](https://github.com/davidechicco)) for valuable feedback on this project.

            

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