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SuryaThiru authored Feb 26, 2021
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[![Documentation Status](https://readthedocs.org/projects/mlgauge/badge/?version=latest)](https://mlgauge.readthedocs.io/en/latest/?badge=latest)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A simple library to benchmark performance of machine learning methods across different datasets. mlgauge is also a wrapper around [PMLB](https://github.com/EpistasisLab/pmlb) which provides benchmark datasets for machine learning.
A simple library to benchmark performance of machine learning methods across different datasets. mlgauge is also a wrapper around [PMLB](https://github.com/EpistasisLab/pmlb) and [OpenML](https://www.openml.org/) which provide benchmark datasets for machine learning.

mlgauge can help you if
* You are developing a machine learning method or an automl system and want to compare and analyze how it performs against other methods.
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![boosting plot](docs/examples/images/boosting.png)

More examples are available in the documentation.
More examples are available in the [documentation](https://mlgauge.readthedocs.io/).

## Credits

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