AIlibraryR

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 boosted trees, deep neural networks etc.).

1,895 stars330 forks12 issuesMIT更新于 2026/4/21

GitHub 仓库

data-sciencedeep-learninggradient-boosting-machineh2omachine-learningpythonrrandom-forestsparkxgboost

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