benchm-ml
ML benchmark
A benchmark for evaluating machine learning algorithms' performance on large datasets
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.).
2k stars
148 watching
334 forks
Language: R
last commit: over 2 years ago
Linked from 2 awesome lists
data-sciencedeep-learninggradient-boosting-machineh2omachine-learningpythonrrandom-forestsparkxgboost
jphall663/awesome-machine-learning-interpretability
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