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Easily generate information-rich, publication-quality tables from R

  • r
  • summary-tables
  • easy-to-use
  • docx

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.).

an R package that automates performance testing of ML models and summarizes the results in a dashboard w/ rad visualizations