precision-recall-gain 0.1.1

Precision-recall-gain curves for Python

Precision-recall-gain curves for Python

• Free software: MIT license

Installation

pip install precision-recall-gain

You can also install the in-development version with:

pip install https://github.com/crypdick/precision-recall-gain/archive/master.zip

Documentation

https://precision-recall-gain.readthedocs.io/

Development

To run all the tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows	set PYTEST_ADDOPTS=--cov-append tox
Other	PYTEST_ADDOPTS=--cov-append tox

References

• [Precision-Recall-Gain Curves: PR Analysis Done Right (2015) by Peter A. Flach and Meelis Kull](https://papers.nips.cc/paper/2015/file/33e8075e9970de0cfea955afd4644bb2-Paper.pdf)

• [sklearn-compatible implementation](https://github.com/scikit-learn/scikit-learn/pull/24121) by [Bradley Fowler](https://github.com/bradleyfowler123)

• [PRG curves](https://www.biostat.wisc.edu/~page/rocprg.pdf) by [David Page](https://www.biostat.wisc.edu/~page/)

• [Blog post by Bradley Fowler](https://snorkel.ai/improving-upon-precision-recall-and-f1-with-gain-metrics/)

• [Original implementation](https://github.com/meeliskull/prg) by [Meelis Kull](https://github.com/meeliskull)

Changelog

0.0.0 (2021-03-20)

• First release on PyPI.