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Sorry, we couldn't find anything for github - szilard/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.)..

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