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.).

193 best points · 34 comments · 2 Hacker News posts · 1,896 GitHub stars · View on GitHub

Hacker News discussions

• Comparison of machine learning libraries used for classification (193 points, 34 comments, by pzs, 2015-08-12)
• Benchmarking of ML Libraries (1 points, 0 comments, by JPKab, 2017-09-06)