benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient bo
Run tests to compare the speed and accuracy of popular machine learning algorithms for binary classification tasks.
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Free · no card · unsubscribe anytimeA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient bo
benchm-ml has 1.9k stars on GitHub. It has been forked 327 times. benchm-ml is written mainly in R. It has been in active development since 2015. benchm-ml is available under the MIT license. Its main topics are data-science, deep-learning, gradient-boosting-machine, h2o.
What is benchm-ml?
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient bo
Is benchm-ml open source?
benchm-ml is an open-source project. It is released under the MIT license.
Is benchm-ml free?
Yes. benchm-ml is free and open source — you can use, modify and self-host it.
What license does benchm-ml use?
benchm-ml is available under the MIT license.
What language is benchm-ml written in?
benchm-ml is written mainly in R.
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