benchm-ml
PublicA 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.).
data-sciencedeep-learninggradient-boosting-machineh2omachine-learningpythonrrandom-forestsparkxgboost
Creat：2015-03-28T08:34:18
Update：2025-03-21T10:08:26
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