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A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

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AkshayVarik/sklearn-benchmarks

 
 

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scikit-learn benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Downloading the benchmark data

Run the Python script provided with this repository to download the data for the benchmark.

python download_data.py

This script will take a while to download all of the data sets. You will need an internet connection to run the script.

Please do not run the download script too frequently.

Contributing

We welcome you to check the existing issues for bugs or enhancements to work on. If you have an idea for an extension of this project, please file a new issue so we can discuss it. Make sure to review our contribution guidelines before starting any work on this project.

Support for this project

This project was developed in the Computational Genetics Lab with funding from the NIH. We're incredibly grateful for their support during the development of this project!

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A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

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  • Jupyter Notebook 93.8%
  • Python 6.2%