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szilard/benchm-ml

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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.).

4 mentions on Hacker News by 4 people: 2 stories, 2 comments · first 2015-08-12 · latest 2017-09-06