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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.).

Write reusable, composable and modular R code

  • r
  • packages
  • modules

Glue strings to data in R. Small, fast, dependency free interpreted string literals.

  • r
  • strings
  • string-interpolation