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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C++20 μ(micro)/Unit Testing framework
The reference C++ unit testing framework (TDD, xUnit, C++03/11/14/17)
- c-plus-plus
- boost
- unit-testing